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 |
|---|---|---|---|---|---|---|
TASK DEFINITION: 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 should be less than 20 words long.
PROBLEM: The Sri Lankan government accuses its former military chief Ge... | Funerals paid for by crowdfunding are on the rise
| 8 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.5878067016601562,
1.032047152519226,
-0.1284606009721756,
-0.5100783109664917,
0.008879879489541054,
-0.665681004524231,
1.001084327697754,
-0.19636517763137817,
-0.45246320962905884,
0.37394195795059204,
0.19301649928092957,
1.0661474466323853,
-0.6680369973182678,
0.3830435872077942,
... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
One example: Hi. I want information about Namibia.
Nmbia is a country in southern Africa.
Do you have information about the media th... | Well, they have a mixed economy, the second-largest in Africa after Nigeria. | 6 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.3954998850822449,
0.42677801847457886,
-0.16939064860343933,
-0.5200062990188599,
-0.4462840259075165,
0.1288810670375824,
0.993377149105072,
0.04842858016490936,
0.3308643698692322,
-0.0725235566496849,
-0.694786787033081,
-0.5440959930419922,
-0.5131219625473022,
0.06191497668623924,
... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Persian.
Q: Here you see submissive gestures from two members of very closely related species.
A: | در اینجا شما دوژست مطیعانه از دوگونه خیلی نزدیک به هم را میبینین | 9 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-1.1013286113739014,
0.7185754776000977,
-0.5589683055877686,
-0.06871924549341202,
-0.5334113836288452,
0.4036621153354645,
0.6854451894760132,
0.43377017974853516,
0.3597502112388611,
0.09908701479434967,
-0.21423643827438354,
0.315138578414917,
-0.05104345828294754,
0.5381824970245361,
... |
Detailed Instructions: In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(the reviewer is not satisfied).
Problem:EVIL DEAD is a g... | POS | 8 | NIv2 | task477_cls_english_dvd_classification | zs_opt | [
-0.3939266800880432,
-0.6436468958854675,
-0.07992865890264511,
0.4413923919200897,
-0.06252284348011017,
-0.69456946849823,
0.6475887894630432,
0.5878589153289795,
0.1721552461385727,
0.594943106174469,
0.1767922192811966,
-0.09664734452962875,
-0.38601696491241455,
0.0041282158344984055,... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | a
| 0 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.3556930422782898,
0.15515179932117462,
-0.8057908415794373,
0.2716994285583496,
0.37381523847579956,
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0.3878718614578247,
0.6188369989395142,
-0.17111796140670776,
0.5232018828392029,
0.10084372758865356,
0.5024216175079346,
-0.6903829574584961,
0.31865525245666504,
... |
Given the task definition and input, reply with output. Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it a... | Do increase of MMP-13 expression in multi-stage oral carcinogenesis and epigallocatechin-3-gallate suppress MMP-13 expression? | 5 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.605252742767334,
0.874295711517334,
-0.5282971858978271,
-0.01766703836619854,
0.2797912359237671,
-0.3763898015022278,
0.11662960052490234,
1.0118623971939087,
0.6961529850959778,
0.5059665441513062,
-0.7027155756950378,
-0.060135629028081894,
-0.8025639653205872,
-0.06762830913066864,
... |
Given the task definition, example input & output, solve the new input case.
Generate a correct and concise answer for the question based on the words in the context.
Example: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar ... | New York City | 1 | NIv2 | task1327_qa_zre_answer_generation_from_question | fs_opt | [
0.28591012954711914,
0.3764021396636963,
-0.43306827545166016,
-0.19450795650482178,
0.4298136830329895,
0.23537059128284454,
0.6255834698677063,
0.6894108057022095,
0.02218058332800865,
0.09672877937555313,
0.6340051889419556,
0.9930658340454102,
-1.3332862854003906,
0.024859607219696045,... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: ଶ୍ରୀ ବିଜୟ ଗୋୟଲ ମଧ୍ୟ ସୂଚନା ପ୍ରଦାନ କରିଥିଲେ ଯେ ଉଚ୍ଚତ୍ତମ ନ୍ୟାୟାଳୟ ସିଜେଆଇର ପୂର୍ବତନ ଅବସର ପ୍ରାପ୍ତ ବିଚାରପତି ଆରଏମ ଲୋଧାଙ୍କ ନେତୃତ୍ୱରେ ଏକ କମି... | In the pursuit of these Kautuhalshalas, let us reinforce the glorific spirit of India where shashtarth, tark and vad vivaad, continuous dialectics, led to constant synthesis. Let us, as I have said on many earler occasions, produce Argumentative and Pragmatic Indians rather than intolerant and dogmatic citizens. | 9 | NIv2 | task988_pib_translation_oriya_english | zs_opt | [
-0.6241453289985657,
0.4085814356803894,
-0.10379906743764877,
0.492847204208374,
0.24047112464904785,
-0.3305635154247284,
-0.1196981891989708,
0.38237908482551575,
-0.48545390367507935,
-0.20854872465133667,
-0.23794260621070862,
-0.6864014863967896,
-0.11441411077976227,
0.8142452239990... |
instruction:
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political religio... | non-religious
| 9 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | fs_opt | [
-0.7148724794387817,
-0.12666457891464233,
0.22099001705646515,
0.1537034809589386,
-0.8753341436386108,
-0.5343946814537048,
0.5526232719421387,
0.0874466747045517,
-0.3748173415660858,
-0.25420674681663513,
-0.6124783754348755,
-0.1477634310722351,
-0.012346621602773666,
-0.2857953906059... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
thanks what can you tell me about its tourism?
what can you tell me about gujarat?
I can. Gujarati businesses played a prominent ro... | I can. Gujarati businesses played a prominent role to serve the economy of Karachi and Mumbai during the British Raj. | 0 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
-0.561199426651001,
0.9599609971046448,
0.13729283213615417,
-0.8988786935806274,
-0.20701926946640015,
-0.37457770109176636,
0.8737572431564331,
-0.444044291973114,
-0.24124819040298462,
-0.9311386346817017,
-0.3431997299194336,
-0.20141449570655823,
-0.5780062675476074,
-0.00367932184599... |
In this task, you are to Translate German text to English
[Q]: Die Ausführung kann im Zwangs- oder Naturumlauf erfolgen.
[A]: The cooling space is operated in a boiled state.
[Q]: abführt, so dass sich diese nicht an unerwünschten Stellen ablagern können.
[A]: The suction mechanism is formed as lateral channel compr... | Seismo-acoustic signals recorded by vibration sensors are digitized and stored.
| 5 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
-0.4548698961734772,
0.06766847521066666,
0.13165916502475739,
-0.15201759338378906,
0.05503813922405243,
0.1915884017944336,
0.09122159332036972,
0.8254421949386597,
-0.24460849165916443,
0.4642340838909149,
0.08784294873476028,
0.16360029578208923,
0.17218217253684998,
0.0234218668192625... |
In this task, you're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly different fro... | Yes
| 7 | NIv2 | task630_dbpedia_14_classification | fs_opt | [
-0.1553635597229004,
0.6512106657028198,
-0.7043906450271606,
0.3790174126625061,
-0.028346603736281395,
-0.20245492458343506,
0.574713945388794,
0.191837877035141,
0.26487189531326294,
-0.4122667908668518,
-0.2581031322479248,
0.9808878898620605,
-1.0635536909103394,
0.34248992800712585,
... |
instruction:
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.... | [81, 185, 155, 47]
| 9 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.6685564517974854,
0.47780412435531616,
-0.07621261477470398,
-0.7350051999092102,
0.10353004932403564,
-0.4698358178138733,
0.918887734413147,
0.300979882478714,
-0.6008201837539673,
0.685306191444397,
-0.8161911368370056,
0.43444034457206726,
-0.18271975219249725,
-0.33310455083847046,... |
Detailed Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Problem:What was the last movie julia roberts was in?
Solution: | What was the last movie julia roberts was in in 2017? | 8 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.609056830406189,
1.7159634828567505,
-0.7215912342071533,
0.6299428939819336,
-0.9275112152099609,
0.5019406080245972,
0.5237213373184204,
0.18536077439785004,
0.1302320957183838,
-0.44126132130622864,
0.756399393081665,
-0.09140132367610931,
0.4840691387653351,
-0.3104589581489563,
0... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
الآن هناك مشكلة واضحة ، والتي هي ، هل هناك ما يكفي من المال في العالم لتمويل هذه الاشياء ؟
A: | Pojawia się oczywisty problem, czy jest dość dużo pieniędzy na świecie? | 7 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.19237330555915833,
1.1813257932662964,
0.49846386909484863,
-0.0727519690990448,
-0.5071467161178589,
-0.5020524859428406,
0.5720890760421753,
0.3015230894088745,
-0.028253301978111267,
-0.237210214138031,
-0.32489949464797974,
0.4340669512748718,
-0.12497387826442719,
0.288139820098876... |
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 will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnec... | Text one | 0 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.34360310435295105,
0.4036537706851959,
0.3319548964500427,
-0.3787202835083008,
0.5366143584251404,
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0.7778393030166626,
1.093794345855713,
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-0.4406135082244873,
-0.4905499219894409,
-0.6807790994644165,
0.12778227031230927,
... |
Instructions: In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: in a lake , there is a patch of lily pads . every day , the patch doubles in size . it takes 39 days for the patch to cover the entire lake , how many... | d | 3 | NIv2 | task1422_mathqa_physics | zs_opt | [
-0.5306845903396606,
0.6405887007713318,
-0.08797141909599304,
-0.9467124342918396,
-0.7514616847038269,
-1.1501450538635254,
0.2754969298839569,
0.5231775045394897,
-0.2684132158756256,
-0.7142678499221802,
-0.5358566045761108,
0.3232862949371338,
-0.08703364431858063,
0.2588502764701843,... |
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".
Example input: Tweet: @justinchuan Awww! I was thinking about you lo... | yes | 3 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.4003077745437622,
0.11755156517028809,
0.4198969006538391,
0.4591435492038727,
0.05235740914940834,
-0.9578105211257935,
-0.03836936503648758,
0.37886327505111694,
0.09276366233825684,
0.23566263914108276,
-0.47949522733688354,
-0.38809123635292053,
-0.3634546399116516,
-0.4130267500877... |
TASK DEFINITION: In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
PROBLEM: the u.s. dollar rose against the new taiwan dollar thursday , gaining nt$ #.## to close at nt$ ##.### .
SOLUTION: u.s. dollar closes higher on taipei forex
PROBLEM: fighting raged... | foreigners may finally get to see all of sweden
| 8 | NIv2 | task288_gigaword_summarization | fs_opt | [
0.3333066403865814,
0.2468428760766983,
-0.7018758654594421,
-0.13893859088420868,
-0.5894001722335815,
0.44703322649002075,
0.9224697351455688,
1.1607704162597656,
-0.09980925172567368,
-0.13768471777439117,
-0.501456081867218,
0.5261721014976501,
-0.996181845664978,
0.4285765290260315,
... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Sentence 1: ... | yes | 6 | NIv2 | task199_mnli_classification | zs_opt | [
-0.3720358610153198,
0.41965237259864807,
0.4351402819156647,
-0.916999876499176,
0.31525784730911255,
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0.6720967888832092,
0.9595625996589661,
0.4624258875846863,
0.2936827540397644,
-0.30814969539642334,
-0.9202021956443787,
-0.9857862591743469,
-0.8520212173461914,
... |
Given the task definition and input, reply with output. Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: 13 Oo curad kasta oo dameer ah waa inaad ku madax furtaa wan yar; oo haddii aadan doonaynin inaad madax furto, de ... | 13 And every firstling of an ass thou shalt redeem with a lamb; and if thou wilt not redeem it, then thou shalt break his neck: and all the firstborn of man among thy children shalt thou redeem. | 5 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
-0.44340139627456665,
0.84727942943573,
-0.10708148032426834,
-0.3812887668609619,
-0.5606721639633179,
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0.0819685161113739,
0.3271142840385437,
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-0.36827194690704346,
0.3175109326839447,
0.4328415095806122,
-0.8758797645568848,
0.06979390978813171... |
You will be given a definition of a task first, then some input of the task.
Classify the given hotel review based on the sentiment it expresses into two classes: negative and positive.
The hotel itself was beautiful and wonderful staff but the bottom line for me was that it was impossible to sleep through the night b... | negative | 1 | NIv2 | task902_deceptive_opinion_spam_classification | zs_opt | [
-0.48238199949264526,
0.6242071986198425,
-0.12249857932329178,
-0.44097644090652466,
0.1793907880783081,
-0.17576797306537628,
0.5337375402450562,
0.7062677145004272,
0.10497286170721054,
0.5291101336479187,
-0.16059590876102448,
0.44043099880218506,
-0.3884723484516144,
-0.78797429800033... |
Definition: 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 input is a... | [['30', 'VISITOR', 'Shamrocks'], ['Shamrocks', 'VISITOR_SCORE', '5'], ['30', 'HOME', 'Montreal'], ['Montreal', 'HOME_TEAM_SCORE', '3'], ['Jan.', 'DAY', '30']] | 2 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
0.08716127276420593,
0.21050895750522614,
-0.5500503182411194,
-0.6144855618476868,
-0.5388016700744629,
-0.019946221262216568,
1.4273678064346313,
-0.2523001432418823,
0.4411159157752991,
-0.8720649480819702,
-0.868215024471283,
-0.14292341470718384,
-0.30182820558547974,
0.39934027194976... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Output: Gina pulled a book on the new boy.
| 2 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.3257693648338318,
0.1266026496887207,
-0.11094412207603455,
-0.11214451491832733,
-0.3124045431613922,
0.05316665768623352,
0.1779276728630066,
0.6038614511489868,
-0.3310849666595459,
-0.5131001472473145,
-0.812157154083252,
0.46345189213752747,
-0.5865809917449951,
-0.23684528470039368... |
Definition: A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: 14वें वित्त आयोग (2018-19 तथा 2019-20) की शेष अवधि के दौरान मिशन लागू करने के लिए 1290 करोड़ रुपये का (केन्द्रीय हिस्से के रूप में 950 करो... | 14ਵੇਂ ਵਿੱਤ ਕਮਿਸ਼ਨ (2018-19 ਤੇ 2019-20) ਦੀ ਬਾਕੀ ਅਵਧੀ ਦੌਰਾਨ ਮਿਸ਼ਨ ਲਾਗੂ ਕਰਨ ਲਈ 1290 ਕਰੋੜ ਰੁਪਏ ਦੀ (ਕੇਂਦਰੀ ਹਿੱਸੇ ਵਜੋਂ 950 ਕਰੋੜ ਰੁਪਏ ਦੀ ) ਵਿਵਸਥਾ ਕੀਤੀ ਗਈ ਹੈ। | 2 | NIv2 | task1011_pib_translation_hindi_punjabi | zs_opt | [
0.201376810669899,
0.32133749127388,
0.21689563989639282,
0.18073101341724396,
0.267090380191803,
-0.5792941451072693,
0.48355311155319214,
0.18480797111988068,
-0.47974860668182373,
-0.12947309017181396,
-0.4196559190750122,
0.1297002136707306,
-0.20592597126960754,
0.654230535030365,
-... |
instruction:
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 indi... | red_bucket
| 9 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.20193663239479065,
-0.3069435656070709,
-0.44021549820899963,
-0.03783462941646576,
-0.14283406734466553,
-0.26214098930358887,
-0.19868069887161255,
0.8044009804725647,
-0.1187053769826889,
0.2508189380168915,
-0.28028422594070435,
0.3466537296772003,
-0.24101631343364716,
0.13328796625... |
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.
Example Input: 与論島に住むイヴァン・ブラッキンが地震の経験を語った。
Example Output: លោកអ៊ីវ៉ាន់ប្រេកឃីន ជាអ្នកស្រុកនៃកោះយ៉រុន បានរៀបរាប់ពីបទពិសោធន៍របស់គាត់ក្នុងការរញ្ជួយដ... | ការលាលែងដំណែងរបស់សារ៉ានស្កីជារដ្ឋមន្រ្ដីនៃកិច្ចការដាយអាស្ពូរ៉ានិងជេរ៉ូសាឡេមត្រូវបានយល់ព្រមដោយនាយករដ្ឋមន្រ្ដីអារៀលសារ៉ន នៅកិច្ចប្រជុំគណៈរដ្ឋមន្រ្ដីនៅថ្ងៃសៅរ៍។
| 3 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.1420285999774933,
-0.4785522520542145,
-0.290841668844223,
0.049760181456804276,
0.26207566261291504,
-0.6823363304138184,
1.0524088144302368,
0.1925349235534668,
-0.4632461667060852,
0.07598821818828583,
-0.6486902832984924,
0.8666267395019531,
-0.7146612405776978,
0.3795289993286133,
... |
Given the task definition, example input & output, solve the new input case.
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... | A few days ago Russian <B-MISC> President Boris <B-PER> Yeltsin <I-PER> issued a decree on state regulation of foreign barter deals , and Volkova <B-PER> said this " could substantially improve the situation " . | 1 | NIv2 | task610_conllpp_ner | fs_opt | [
0.11281098425388336,
-0.035943642258644104,
-0.043805643916130066,
0.5971356630325317,
0.12715768814086914,
0.054331645369529724,
-0.08640226721763611,
1.136582374572754,
-0.246109277009964,
0.2848767638206482,
-0.1704985499382019,
0.40981706976890564,
-0.17501525580883026,
0.3026015162467... |
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 short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, ge... | Anti-stereotype | 0 | NIv2 | task316_crows-pairs_classification_stereotype | fs_opt | [
-0.05293472856283188,
0.532402753829956,
0.06944097578525543,
-0.0506305955350399,
-0.31856685876846313,
0.36514055728912354,
0.6571280360221863,
1.0096765756607056,
0.7061493992805481,
0.08916433155536652,
-0.4240196943283081,
-0.13429231941699982,
-0.5787999629974365,
0.01767503470182418... |
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 and a question. You're expected to write an **incorrect** answer to the given question, such that it is relevant to the given sentence. Your answer should not be completely o... | the staircase landing is a spikier surface | 0 | NIv2 | task1383_quarel_write_incorrect_answer | fs_opt | [
-0.4906311631202698,
1.0320992469787598,
-0.4586763083934784,
0.052984438836574554,
0.16344328224658966,
0.11920147389173508,
0.5567243695259094,
0.33464211225509644,
0.03389814496040344,
-0.5962813496589661,
-0.2928774952888489,
0.7614635229110718,
-0.7157110571861267,
-0.0179072245955467... |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Q: Carla slid the book to Dale.
A: 1
****
Q: They pushed through the crowd.
A: 1
****
Q: The sky cleared.
A: | 1
****
| 4 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
-1.1168365478515625,
1.1584112644195557,
-0.09224014729261398,
-1.4215978384017944,
0.5437557697296143,
-0.8162330985069275,
1.0033760070800781,
0.5618525743484497,
0.3214903771877289,
0.02467040903866291,
-0.46769624948501587,
-0.2874710261821747,
-0.7378741502761841,
-0.7414418458938599,... |
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.
Q: The item was delivered here in great condition. My 5 month old American Eskimo likes the tug a jug even without any treats or kibble ins... | Negative | 9 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.2402675449848175,
-0.4254077970981598,
0.24299192428588867,
0.08612732589244843,
-0.13492663204669952,
-0.6101111173629761,
0.28721871972084045,
-0.02904656156897545,
-0.37845516204833984,
0.2341012805700302,
0.28817102313041687,
0.21906837821006775,
-1.0777225494384766,
-0.215443611145... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
--------
Question: My son made me feel excited.
Answer: male
Question: The situation makes this boy feel disappointed.
Answer: male
Quest... | female
| 7 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.3884328603744507,
0.29483455419540405,
-0.1208181157708168,
-1.1802222728729248,
-0.4377824664115906,
-0.615334153175354,
0.7135844230651855,
0.5583856701850891,
0.5728052854537964,
-0.06639048457145691,
-0.7439206838607788,
0.042103059589862823,
-1.1812278032302856,
-0.4777569770812988... |
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... | a | 5 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.36546021699905396,
0.24091371893882751,
-0.7976996302604675,
0.7482165098190308,
-0.12693949043750763,
0.4006311297416687,
0.5287771224975586,
0.34045401215553284,
-0.3622375428676605,
-0.18810412287712097,
0.17191262543201447,
0.4430418312549591,
-0.2053394615650177,
0.00104481284506618... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Problem:و در آخر سخنرانی ، می پرسیدم ، "" چند نفر از آنها اسم خود را پیدا کرده اند ؟ "" و هیچ وقت بیشتر از دو سوم جمعیت دستش را بالا نمی برد.
Solution: | And at the end of the speech, I would ask, "" How many people have found a name? "" And I never had fewer than two-thirds of an audience hold up their hand. | 8 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.13520163297653198,
0.86456298828125,
-0.4568890929222107,
-0.6844515800476074,
-1.169989824295044,
-0.3743716776371002,
1.092365026473999,
-0.3449658751487732,
0.163583904504776,
-0.2902776598930359,
-0.3259682059288025,
0.9703586101531982,
-0.7253755927085876,
0.0589248426258564,
0.7... |
Teacher:In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentenc... | ironic | 6 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-1.1987066268920898,
0.5118396282196045,
0.8352477550506592,
-0.34969520568847656,
-0.2573361098766327,
0.20542685687541962,
0.6943178176879883,
0.1989184319972992,
1.0021448135375977,
-0.149888813495636,
-0.35082995891571045,
-0.20391252636909485,
-0.4719337224960327,
-0.20148587226867676... |
instruction:
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
question:
श्रीमती इरानी ने तुरा,मेघालय में मुगा सिल्क सीड उत्पादन केंद्र, अगरतला, त्रिपुरा में रेशम छपाई और प्रसंस्करण इकाई, संगाइपत इम्फाल मे... | നമുക്ക് ആര്ട്ടിഫിഷ്യല് ഇന്റലിജന്സിലൂടെ പ്രകൃതിദുരന്തങ്ങളെക്കുറിച്ച് കുടുതല് നല്ലരീതിയില് മുന്കൂട്ടിഅറിയാനാകുമോ?
| 9 | NIv2 | task1017_pib_translation_hindi_malayalam | fs_opt | [
-0.6936973333358765,
-0.09125678241252899,
0.159030020236969,
-0.16651472449302673,
-0.1549387276172638,
-0.7451430559158325,
-0.2771879732608795,
0.7882313132286072,
-0.4043598175048828,
0.1313152313232422,
-0.4277459979057312,
0.10246666520833969,
-0.5358260273933411,
0.2522744834423065,... |
Part 1. Definition
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 inc... | caviar | 7 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.7720873951911926,
0.6541262269020081,
0.10209158807992935,
0.4557516872882843,
0.22114554047584534,
-0.24536629021167755,
0.45599687099456787,
0.910740315914154,
0.6618886590003967,
-0.23580841720104218,
0.09920835494995117,
-0.19262057542800903,
-0.9213608503341675,
0.01912635937333107,... |
Detailed Instructions: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Problem:Michael displayed her the sculpture
Solution: | Michael displayed the sculpture to her | 8 | NIv2 | task132_dais_text_modification | zs_opt | [
-0.6644988656044006,
0.9942611455917358,
0.6314153671264648,
-0.25117164850234985,
-0.014100214466452599,
-0.39551669359207153,
0.21731212735176086,
0.07931666076183319,
0.4171859323978424,
-0.638691782951355,
-0.03058435395359993,
-0.6551390886306763,
0.18299058079719543,
0.38939759135246... |
Instructions: Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian.
Input: 中国はまず経済システムを諸外国に開放し、(... | Japanese | 3 | NIv2 | task1370_newscomm_classification | zs_opt | [
0.13011851906776428,
-0.19005486369132996,
0.29890161752700806,
0.32044801115989685,
0.2018612176179886,
0.6158427596092224,
-0.33753207325935364,
0.7843647003173828,
-0.04897269606590271,
0.13468046486377716,
-0.05437278002500534,
-0.33604544401168823,
-0.19043748080730438,
-0.49039345979... |
Given the task definition and input, reply with output. You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
E... | good to be with someone | 5 | NIv2 | task924_event2mind_word_generation | zs_opt | [
-0.001696927472949028,
0.1984681338071823,
0.2552415132522583,
0.06161387637257576,
-0.1650378704071045,
-0.5240064859390259,
0.8634020090103149,
0.5613858699798584,
0.09996401518583298,
-0.11076566576957703,
0.32483723759651184,
-0.0009227341506630182,
-0.7873802781105042,
-0.198193043470... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to write an incorrect answer to the given question. Along with the question, you are also given the correct answer(s) and the associated paragraph. An incorrect answer should be closely related to the content of the para... | The president. | 1 | NIv2 | task055_multirc_write_incorrect_answer | zs_opt | [
0.12777885794639587,
0.4193323850631714,
0.04087105393409729,
-0.5478880405426025,
0.9084131717681885,
-0.06209810823202133,
0.12968231737613678,
1.1040276288986206,
-0.09861606359481812,
-0.32136428356170654,
-0.06006421893835068,
1.068439245223999,
-0.33756619691848755,
-0.15886187553405... |
A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence.
One example: મંત્રીમંડળનાં આ નિર્ણયનો લાભ કેન્દ્ર સરકારનાં આશરે 48
Solution is here: క్యాబినెట్ల ఈ నిర్ణయం యొక్క ప్రయోజనం కేంద్ర ప్రభుత్వానికి సుమారు 48... | ద్వైపాక్షిక మరియు ప్రపంచ స్థాయి ప్రాముఖ్యం కలిగి వున్న పలు అంశాలపై అధ్యక్షులు శ్రీ శీ మరియు నేను ఒకరి అభిప్రాయాలను మరొకరితో తెలియజెప్పుకోనున్నాము. | 6 | NIv2 | task1013_pib_translation_gujarati_telugu | fs_opt | [
-0.3731447160243988,
0.14722871780395508,
-0.07121237367391586,
0.103272944688797,
0.01328190229833126,
-0.5312539339065552,
0.9082752466201782,
0.12530535459518433,
0.031363531947135925,
-0.3452165424823761,
-0.6949993371963501,
-0.2679119110107422,
-0.5393489599227905,
0.9525842666625977... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Ex Input:
Sente... | Bivalves
| 1 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
-0.18735410273075104,
0.4727635085582733,
-0.2921047508716583,
-0.7007261514663696,
0.03013383038341999,
-0.2263345569372177,
0.31274479627609253,
0.35935157537460327,
-0.16925901174545288,
-0.482702374458313,
-0.24400775134563446,
-0.31613972783088684,
-1.3126206398010254,
0.3767953515052... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Q: Fact1: Robin ... | Robin Cavendish falls ill from polio at age 28, not long after meeting and marrying his wife Diana. Paralyzed from the neck down and unable to breathe without the assistance of a respirator, he is given only three months to live. Initially he is depressed, refusing to see his wife or newborn son Jonathan and wishing to... | 4 | NIv2 | task103_facts2story_long_text_generation | zs_opt | [
0.1687660962343216,
0.5206338167190552,
-0.11138743907213211,
-0.14063790440559387,
-0.563025176525116,
-0.617307186126709,
-0.022302284836769104,
0.45604580640792847,
0.4340769648551941,
0.26861143112182617,
-0.7354943752288818,
0.6662948727607727,
-0.23023095726966858,
0.5710456371307373... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Input: اکنون ما با تمامی این مدل ها آشنا هستیم.
Output: | الآن ، نحن نألف كل هذه الأمثلة. | 2 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.18883077800273895,
0.20279516279697418,
-0.36551231145858765,
-0.2587810158729553,
-0.5825865268707275,
-0.021070756018161774,
0.8894163966178894,
0.3162074089050293,
1.2436916828155518,
0.19631211459636688,
-1.226623296737671,
0.182930588722229,
0.4245026111602783,
0.4501187801361084,
... |
You are given a statement written in Hindi. 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 .
Statement: चिनाब नदी <MASK> के हिमाचल प्रदेश के लाहौल और स्पीति जिले के ऊपरी हिमालय में टांडी में चंद्रा और भागा नद... | 2003
| 0 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.8294637203216553,
-0.18681861460208893,
-0.17642629146575928,
-0.013806542381644249,
-0.008176954463124275,
-0.7417908906936646,
0.39760762453079224,
0.8159983158111572,
-0.6014293432235718,
0.24199895560741425,
0.0687161460518837,
0.12860196828842163,
-0.40027493238449097,
-0.0013789109... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Example Input: 4, ['A', '865', 'W', 'T', 'L', 'X', '9859', 'q', '8911', '717', 'Q', 'F', 'e', '2691', '3913', '5... | n, W, 6783, n, r
| 3 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.03301471471786499,
0.35543292760849,
-0.7340695858001709,
-0.39372518658638,
-0.34108656644821167,
-0.29252833127975464,
0.5442159175872803,
-0.11297378689050674,
-0.7793184518814087,
-0.005432005040347576,
-0.8410236239433289,
-0.08690836280584335,
0.2525627613067627,
-0.117168463766574... |
Part 1. Definition
Given a sentence in English, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
Part 2. Example
The NBA season of 1975 -- 76 was the 30th season of the National Basketball Association .
Answer: Die Saison 1975 - 76 de... | Eine kleine und mittelmazedonische jüdische Gemeinde ist an der Mittelmeerküste, vor allem in Gush Dan und im Norden Israels, sehr lange präsent. | 7 | NIv2 | task780_pawsx_english_german_translation | fs_opt | [
0.12363572418689728,
-0.10394172370433807,
-0.06074581295251846,
-0.010439259931445122,
0.0480923131108284,
-0.4394006133079529,
1.5204203128814697,
0.46749624609947205,
0.4578937292098999,
0.669150173664093,
-0.014369849115610123,
0.813767671585083,
-1.4751343727111816,
-0.196163952350616... |
Instructions: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Input: unbalanced
Output: | balanced | 3 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.539218008518219,
1.5232000350952148,
0.09178279340267181,
-0.409443736076355,
-0.4761013984680176,
-0.4315323829650879,
-0.3939450979232788,
0.6226849555969238,
-0.06822812557220459,
-0.3493340015411377,
-0.8560595512390137,
-0.5427358150482178,
-1.4075281620025635,
-0.11883009225130081,... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No | 3 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.3299608528614044,
0.3830626606941223,
-0.11762727051973343,
-0.05573555454611778,
-0.65766841173172,
-0.952323317527771,
1.326695203781128,
0.2906336188316345,
-0.4452328681945801,
-0.2873918414115906,
-0.5649664402008057,
-0.3867834508419037,
-0.5030361413955688,
-0.10378403961658478,
... |
Instructions: You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0.
Input: System Reference: the the orchard hotel is a moderate h... | 0 | 3 | NIv2 | task1284_hrngo_informativeness_classification | zs_opt | [
-0.18044671416282654,
0.9865133762359619,
-0.9586460590362549,
-0.03778832405805588,
-0.5000457167625427,
-1.4480767250061035,
0.8926634788513184,
0.16385380923748016,
0.4311459958553314,
-0.4127902388572693,
-0.6134526133537292,
-0.4659510850906372,
-0.6123740077018738,
0.1530273258686065... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
One example is below.
Q: What are arteries, ve... | moon | 9 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.44353869557380676,
0.7175452709197998,
-0.3770703077316284,
0.864619255065918,
-0.4173840880393982,
-1.1562647819519043,
0.11763203144073486,
0.22138623893260956,
-0.13951119780540466,
-0.2610692083835602,
0.4209147095680237,
-0.5099707245826721,
-1.0214426517486572,
-0.15698488056659698... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Example Input: 大人2人と子ども1人はフレズノのCommunityRegionalMedicalCenterに運ばれた。
Example Output: ຜູ້ໃຫຍ່ສອງຄົນ ແລະ ເດັກນ້ອຍອີກໜຶ່ງຄົນ ໄດ້ຖືກນໍາໂຕສົ່ງໂຮງພະຍາບານເຂດຊ... | ວີນັສ ໄດ້ຮັບ 1.407 ລ້ານໂດລາສະຫະລັດ ເຊິ່ງລາວກ່າວວ່າ "ຂອບໃຈ ສະໂມສອນຂອງອັງກິດ - ພວກເຮົາລ້ວນຫຼິ້ນຢູ່ໃນສະພາບດຽວກັນ."
| 3 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.4553113579750061,
0.019980471581220627,
-0.7090408205986023,
-0.4683697819709778,
0.09305891394615173,
-0.4268832802772522,
0.4874664545059204,
0.230152428150177,
-0.34089481830596924,
-0.7783018350601196,
-0.9047626852989197,
1.1694926023483276,
-0.8819018602371216,
0.48810458183288574... |
In this task, you need to reverse the order of words in the given sentence.
One example is below.
Q: Sentence: luggage surrounds a vehicle in an underground parking area
A: area parking underground an in vehicle a surrounds luggage
Rationale: This is a correct answer, as it correctly reverses the order of the words.
Q:... | it in oven an has kitchen white a | 9 | NIv2 | task376_reverse_order_of_words | fs_opt | [
0.2156401127576828,
0.8220199942588806,
-0.24411633610725403,
-0.17285916209220886,
-0.3241507411003113,
-0.2085568606853485,
-0.14962992072105408,
0.5249775648117065,
0.6129095554351807,
-0.07543619722127914,
-0.5122134685516357,
0.07767174392938614,
0.07165909558534622,
-0.15593038499355... |
Teacher: Given a sentence in French, generate a new French 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 ... | Après avoir payé le chèque d' une pension, on part habituellement. | 2 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
-0.09061354398727417,
0.6979300379753113,
0.329196572303772,
-0.396837055683136,
0.4298139810562134,
-0.6843426823616028,
0.5833951830863953,
0.5386666059494019,
0.11528655886650085,
-0.42657071352005005,
0.11128580570220947,
-0.1843557208776474,
-0.24961130321025848,
-0.19224631786346436,... |
Teacher: Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following example:
អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប... | 成長段階にある雄羊の胎児の脳中のアロマターゼホルモン類のレベルが低いことが脳を完全に雄性化しないようにし、性的にオス志向のラムとなったかもしれないと、羊の研究者は仮定している。 | 2 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
-0.06690247356891632,
0.3522069454193115,
-0.5893248319625854,
0.28850990533828735,
-0.48679932951927185,
-0.47108253836631775,
0.33817723393440247,
0.3988521695137024,
-0.06588368117809296,
-0.7455511093139648,
-1.0650978088378906,
0.8101075887680054,
-0.7009603381156921,
0.51461082696914... |
Detailed Instructions: 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 will be considered as in high school. There are only tw... | elementary | 8 | NIv2 | task1712_poki_classification | zs_opt | [
-0.051952701061964035,
1.114131212234497,
0.688006579875946,
-0.44916534423828125,
-0.48395246267318726,
-0.7332152128219604,
0.9037476778030396,
0.3291148543357849,
-0.123383529484272,
-0.5773483514785767,
-0.2965702712535858,
0.10581545531749725,
0.06556959450244904,
0.2054007649421692,
... |
Definition: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Input: Accurate chromosome segregation requires carefully regulated interactions between kinetochores and microtubules, but how plasticity is achieved to correct dive... | Aurora B phosphorylates spatially distinct targets to differentially regulate the kinetochore-microtubule interface. | 2 | NIv2 | task1586_scifact_title_generation | zs_opt | [
0.24464671313762665,
0.44692838191986084,
-0.610016405582428,
-0.44538041949272156,
-0.6568157076835632,
-0.37513941526412964,
0.9843624830245972,
0.5646989345550537,
0.1282697170972824,
0.5742005109786987,
-0.3688293695449829,
-0.3297547698020935,
-0.18316955864429474,
0.4790995419025421,... |
In this task, you are given a context sentence containing a blank (_). You are expected to fill the blank with one word to make the sentence convey a cultural stereotype. A stereotype is an over-generalized belief about a particular group of people. Your answer must not contain more than one word.
Input: Consider Inpu... | Output: exotic
| 2 | NIv2 | task277_stereoset_sentence_generation_stereotype | fs_opt | [
-0.07406121492385864,
0.5267614126205444,
-0.324188768863678,
-0.08604590594768524,
0.3405229449272156,
-0.09181729704141617,
0.2767910361289978,
1.221222996711731,
-0.0006216163747012615,
-0.564965009689331,
-0.8723930716514587,
-0.2610529065132141,
-0.7166882753372192,
0.1394434571266174... |
instruction:
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 h... | No
| 9 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.4054132401943207,
0.3305821418762207,
0.271005243062973,
-0.31740444898605347,
-0.6014364957809448,
-0.67574143409729,
1.1289727687835693,
0.3274382948875427,
-0.5272853970527649,
-0.6029605865478516,
-0.5418909192085266,
-0.5374189019203186,
-0.7429499626159668,
0.31550419330596924,
0... |
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Input: Consider Input: نخستین سه تمدن جهان، بر اساس زمان آغاز آنها، بینالنهرین، مصر و هند هستند که به تمدنهای مرده، مشهور بوده و تمدن غربی، از همین سه تمدن، نشات... | Output: در گیاهشناسی به نهنج و تخمدان رسیده یک گیاه گلدار
| 2 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
0.39099061489105225,
0.7374358773231506,
-0.6992497444152832,
0.2613198161125183,
0.17314043641090393,
-0.35478371381759644,
0.9178166389465332,
1.3143579959869385,
-0.3716338276863098,
0.17916271090507507,
-0.434950053691864,
1.0549588203430176,
-0.5103871822357178,
-0.22390218079090118,
... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Joshua Kangombe saw what was happening: wildlife disappearing, poaching was skyrocketing, and the situation seemed very hopeless.
Joshua Kangombe capì cosa stava succedendo: gli animali selvaggi stavano scomparendo, la cac... | ed avere dei piccoli. Perciò, questa informazione genetica torna davvero alle popolazioni.
| 0 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-1.0342381000518799,
0.6207823753356934,
-1.0267956256866455,
-0.7125105261802673,
-0.6989297866821289,
0.2403128445148468,
-0.3140803873538971,
1.1240878105163574,
-0.23571842908859253,
-0.429106742143631,
0.5600216388702393,
-0.6657465696334839,
-0.8049365282058716,
0.12637567520141602,
... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Example Input: " What I battled I have never seen the likes of.
Example Ou... | Present
| 3 | NIv2 | task429_senteval_tense | fs_opt | [
-0.6775932312011719,
0.674085259437561,
0.3976150155067444,
0.44133827090263367,
0.14485608041286469,
0.06860959529876709,
0.6207486391067505,
0.7217233777046204,
-0.14422330260276794,
-0.12572328746318817,
-0.5666635632514954,
-0.2338656783103943,
-0.5949451923370361,
-0.13877364993095398... |
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 types: "span", "d... | Output: 133.
| 2 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.3219863474369049,
0.24259604513645172,
-0.7764407396316528,
-0.028062475845217705,
0.15060532093048096,
-0.20646198093891144,
0.5852111577987671,
0.20046696066856384,
0.16427040100097656,
-0.37935805320739746,
-0.46590089797973633,
0.7280973196029663,
-0.7066255807876587,
0.0841442421078... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location ... | None | 9 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
0.3526897430419922,
0.379441499710083,
0.009154252707958221,
-0.042312100529670715,
-0.325508713722229,
-0.27719253301620483,
0.6694753766059875,
0.09237401187419891,
0.556814432144165,
-0.6988832950592041,
-0.5952911972999573,
0.6281481981277466,
-0.13182632625102997,
-0.07404057681560516... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Example input: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Example output: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Example explanation: The H... | لذا كنت أفكر ، هل يمكن إزالتنا نحن كمبتدعين ونحاول أن نجعل الموسيقى هي الصوت ونجعل الرسوم المتحركة تتبعها. | 3 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.7514178156852722,
0.42327824234962463,
0.10509273409843445,
-0.3870053291320801,
-0.7740225791931152,
-0.641499400138855,
0.7544052004814148,
-0.10465444624423981,
-0.00024081079754978418,
-0.4715108871459961,
-0.921393632888794,
-0.23450501263141632,
-0.7773809432983398,
-0.06831350177... |
Detailed Instructions: In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" bas... | Inversion | 9 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.5574785470962524,
-0.034638531506061554,
0.17920970916748047,
-0.20414027571678162,
0.04968666657805443,
-0.3871905207633972,
0.4116177558898926,
0.4422202706336975,
0.11275394260883331,
0.2629774212837219,
-0.7536405324935913,
-0.5519307255744934,
-0.5308617353439331,
-0.29601922631263... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Q: In realtà è lo smartphone africano.
A: | Tak naprawdę to smartfon Afryki. | 9 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
0.011473271064460278,
0.3928384482860565,
-0.6787839531898499,
-0.723141074180603,
-0.754770815372467,
-0.743362307548523,
0.31563618779182434,
-0.1612042635679245,
0.19317969679832458,
0.004549788311123848,
-0.47863227128982544,
0.5031940937042236,
-0.7325610518455505,
0.5176095366477966,... |
Given the task definition and input, reply with output. In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
claim:... | undermine | 5 | NIv2 | task738_perspectrum_classification | zs_opt | [
-0.4759136736392975,
0.4182397425174713,
0.5476040244102478,
-0.015426257625222206,
-0.3754305839538574,
-0.3832375407218933,
0.576802134513855,
1.0977833271026611,
0.3378424644470215,
-0.08952006697654724,
-0.15413475036621094,
-0.2953466773033142,
-0.21311858296394348,
0.0499580018222332... |
Detailed Instructions: You are given a statement written in Marathi. 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 .
Problem:Statement: डेव्हिड जेफ्री वाइनलॅंड (फेब्रुवारी २४, इ.स. १९४४) - ) हा <MASK> नोबेल ... | अमेरिकेचा | 8 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
-0.41208013892173767,
0.23685972392559052,
-0.49617287516593933,
-0.28630775213241577,
-0.14834000170230865,
0.03359833359718323,
0.11474338173866272,
0.18288235366344452,
0.5084549188613892,
-0.7697935104370117,
-0.49682098627090454,
0.36231499910354614,
-0.3900231122970581,
-0.1079894900... |
Teacher: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Solution: 第一にキリバス共和国が... | ではこの湖の海岸線の長さはいくつですか | 2 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.7733919620513916,
-0.10107755661010742,
-0.07215440273284912,
-1.0069122314453125,
-0.23958942294120789,
-0.8386572599411011,
0.16715556383132935,
0.010572194121778011,
0.1762249767780304,
-0.28665849566459656,
0.2506392002105713,
0.11477232724428177,
-0.7357207536697388,
-0.048093844205... |
Part 1. Definition
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Part 2. Example
De Britse premier David... | Uma "aliança dos voluntariosos" foi estabelecida, e convocamos todos os estados, organizações relevantes, empresas interessadas e indivíduos qualificados a se unirem a ela. | 7 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.7110778093338013,
0.6037813425064087,
0.20741835236549377,
-0.1499621421098709,
-0.25803831219673157,
0.6986974477767944,
-0.16979822516441345,
0.5985875725746155,
0.5137186646461487,
-0.24224621057510376,
-0.3893067240715027,
0.5252435207366943,
-0.5817010402679443,
0.09562844038009644... |
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
One example: Problem: on a sum of money , the simple interest for 2 years is rs . 330 , while the compound interest is rs . 340 , the... | d | 6 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.8193745017051697,
-0.06404750794172287,
-0.5451096296310425,
-0.477306604385376,
0.06708556413650513,
-1.024648666381836,
1.3424001932144165,
0.9921897649765015,
0.032494429498910904,
0.09628762304782867,
-0.029496783390641212,
0.47321462631225586,
-0.9734448194503784,
-0.185984805226326... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Per... | Yes | 1 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.27309733629226685,
-0.03537413105368614,
0.7472647428512573,
-0.06512945890426636,
-0.18058930337429047,
-0.9832662343978882,
0.8764300346374512,
0.7166682481765747,
-0.8273516297340393,
-0.5005569458007812,
-0.27141302824020386,
-0.6447271704673767,
-0.39988452196121216,
-0.124188959598... |
Teacher:In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Teacher: Now, understand the problem? Solve this instance: 178 + 5236 -... | 14260 | 6 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.3479710519313812,
0.0730891078710556,
-1.1816641092300415,
0.05682409927248955,
-0.23547683656215668,
-0.006265014410018921,
0.9525542855262756,
0.9650925397872925,
0.14933526515960693,
-0.5335091352462769,
-0.4960387945175171,
-0.42686790227890015,
-0.5833635330200195,
0.34400573372840... |
Detailed Instructions: In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking cou... | overruling | 8 | NIv2 | task274_overruling_legal_classification | zs_opt | [
-0.027031835168600082,
0.5724182724952698,
0.6453276872634888,
-0.035438112914562225,
-0.21207097172737122,
-0.6714564561843872,
0.7014356851577759,
0.7074364423751831,
0.242275208234787,
-0.5353649258613586,
-0.5227833986282349,
-0.4138845205307007,
-0.9717003107070923,
0.1490199863910675... |
Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it con... | No | 3 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.5968146324157715,
0.760679304599762,
0.084257572889328,
-0.13527829945087433,
-0.5254418849945068,
-0.42575982213020325,
0.3599894940853119,
1.2228312492370605,
-0.09126530587673187,
0.20116689801216125,
-0.2278204709291458,
-0.042691417038440704,
-0.5667126178741455,
-0.330681324005126... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a list of integers. You need to find the median of the list of integers and return that as the output. The median is the middle value in the list of numbers such that half of the elements are less than the median an... | 229 | 1 | NIv2 | task1405_find_median | zs_opt | [
0.17006902396678925,
-0.08980632573366165,
-0.836540699005127,
-0.30572009086608887,
0.021213345229625702,
0.8006936311721802,
0.49390316009521484,
0.5505977869033813,
-0.03422059863805771,
0.11503805220127106,
-0.9740938544273376,
0.17268526554107666,
-0.282834529876709,
-0.07672966271638... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | 9 | NIv2 | task1204_atomic_classification_hinderedby | zs_opt | [
1.0906214714050293,
0.6139492988586426,
0.15877896547317505,
-0.3450987935066223,
-0.5330251455307007,
-0.9716336727142334,
0.6057888865470886,
0.5151976346969604,
-0.5994526743888855,
-0.272533118724823,
-0.5732989311218262,
-0.8746513724327087,
-0.8193047642707825,
0.06500876694917679,
... |
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Q: Baselines We thoroughly compare our approaches to the following baselines:
Direct source$\rightarrow $target: A standard NMT model trained on given sourc... | Direct source$\rightarrow $target: A standard NMT model trained on given source$\rightarrow $target Multilingual: A single, shared NMT model for multiple translation directions Many-to-many: Trained for all possible directions among source, target, and pivot languages Many-to-one: Trained for only the directions to tar... | 4 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.24858397245407104,
0.824565589427948,
-0.15209798514842987,
-0.08348120003938675,
-0.27984365820884705,
-0.5718938112258911,
0.9900307655334473,
0.06910492479801178,
0.4461939334869385,
0.14878302812576294,
-0.5186009407043457,
0.10772308707237244,
-0.7934343218803406,
0.444571614265441... |
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in se... | Yes
| 3 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
0.2290908396244049,
0.0015129019739106297,
0.7238114476203918,
0.8952754735946655,
0.21213200688362122,
-0.46001118421554565,
-0.389257550239563,
0.9629629850387573,
-0.6049410700798035,
0.06565587222576141,
-1.2710356712341309,
0.32195723056793213,
-0.45931679010391235,
-0.042240783572196... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | Adolfo Suarez Madrid-Barajas Airport is located in Madrid, Paracuellos de Jarama, San Sebastian de los Reyes and Alcobendas and is operated by ENAIRE. It has a runway name of 14R/32L with a length of 3500. | 6 | NIv2 | task1409_dart_text_generation | fs_opt | [
0.2024923861026764,
0.622862696647644,
-0.8023188710212708,
-0.2643345296382904,
-0.0786406397819519,
0.20284920930862427,
0.285549521446228,
1.2166070938110352,
-0.42576199769973755,
0.37855255603790283,
-0.24003379046916962,
0.23803265392780304,
-0.0968615859746933,
-0.8111437559127808,
... |
Detailed Instructions: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expr... | Positive | 8 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.12472088634967804,
-0.4634765684604645,
-0.19919174909591675,
0.24591746926307678,
-0.04656846448779106,
-0.6389514803886414,
0.7738732099533081,
0.4646185040473938,
0.3167525827884674,
-0.25630098581314087,
-0.5113207101821899,
0.6306006908416748,
-0.10116688907146454,
-0.5374590158462... |
Detailed Instructions: You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Q: Abhandlungen_aus_dem_Mathematischen_Seminar_der... | "Abh.Math.Semin.Univ.Hambg" is the abbreviation for Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg. Their ISSN number is 0025-5858, their LCCN number is 32024459 and their CODEN code is AMHAAJ. | 9 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.45037081837654114,
0.21586991846561432,
-0.3960655629634857,
-1.1517350673675537,
-0.8230893611907959,
-0.30039459466934204,
1.1717033386230469,
0.025499891489744186,
-0.34559088945388794,
0.46986228227615356,
-1.1261038780212402,
0.8601731061935425,
-0.6786829233169556,
0.0477720126509... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Context: Mount Carlisle is a stratovolcano in Ala... | 1 | 6 | NIv2 | task633_dbpedia_14_answer_generation | zs_opt | [
0.320300817489624,
0.18577660620212555,
0.20660676062107086,
-0.13702353835105896,
-0.011998599395155907,
-0.12531599402427673,
0.23317593336105347,
0.23400937020778656,
-0.09920612722635269,
-0.241944819688797,
0.01714468002319336,
-0.34126707911491394,
-0.10667984187602997,
-0.1911395192... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Problem:הם היו כבדים מאוד, די לא נוחים.
Solution: | Były bardzo ciężkie i dość niewygodne. | 8 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
0.12642163038253784,
0.8257027864456177,
-0.3015647530555725,
-0.24219352006912231,
-0.2490350604057312,
-0.6912074089050293,
1.1002843379974365,
-0.49237683415412903,
0.4598539173603058,
-0.10673287510871887,
-0.4340251088142395,
0.3178195655345917,
-0.1933964639902115,
0.1620176732540130... |
Teacher: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` f... | b | 2 | NIv2 | task232_iirc_link_number_classification | fs_opt | [
0.5523524284362793,
0.43374237418174744,
-0.19300733506679535,
-0.20640932023525238,
-0.011442597024142742,
-0.40743911266326904,
1.4458485841751099,
0.6406245827674866,
0.3746819496154785,
0.613756537437439,
-0.3620733618736267,
0.6421432495117188,
-0.8083139061927795,
0.02951901219785213... |
Teacher:You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? Solve this instance: Statement: <MASK> ਜੋ ਪੰਜ ਦਰਿਆਵਾਂ ਦਾ ਖੇਤਰ ਹੈ ਧਰਤ... | ਪੰਜਾਬ | 6 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
1.2098972797393799,
1.226046085357666,
0.04463353008031845,
0.018601655960083008,
-0.4671113193035126,
-0.16492444276809692,
0.5949438214302063,
0.7523331642150879,
0.16458594799041748,
-0.11754715442657471,
-0.5082514882087708,
-0.5588512420654297,
-0.3152347207069397,
-0.2567664086818695... |
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: આ ટાવરની ડિઝાઇન સ્કીડમોર, ઓઈંગ એન્ડ મેરિલે તૈયાર કરી હતી. આ જ કંપનીએ અમેરિકામાં શિકાગોમાં વિલિસ ટા... | ભારત
****
| 4 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
-0.30052003264427185,
1.0059634447097778,
-0.16947168111801147,
0.45773130655288696,
-0.14334431290626526,
-0.8941901326179504,
0.17140580713748932,
0.9089837074279785,
-0.24538293480873108,
0.45374611020088196,
0.4996761083602905,
0.5485490560531616,
-0.1816418170928955,
-0.15784226357936... |
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.
['2419', '3415']
2419, 3415
['3459', '3923', '9849', '5325', '7691', '4715', 'E', 'K', 'g', 'c', 'K', '8849']
3459, 3923, 9849, 5325, 7691, 4715, 8849
['1447', '... | 1447, 8495, 1177, 6031, 9493, 5413, 1539, 3361, 3443
| 0 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
0.5506735444068909,
0.3106769919395447,
-0.44434022903442383,
-0.45585277676582336,
-0.3106323480606079,
-0.3080916404724121,
1.0033178329467773,
-0.4164327383041382,
-0.8400554656982422,
0.3674262464046478,
-0.7017233371734619,
-0.24056774377822876,
0.1510176956653595,
-0.1519685387611389... |
Given the task definition, example input & output, solve the new input case.
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 up... | strengthener | 1 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.29494085907936096,
0.5899131894111633,
-0.1495020091533661,
0.28646329045295715,
0.11646813899278641,
-0.6651006937026978,
0.6056931614875793,
1.3225467205047607,
0.3476998209953308,
-0.5078434348106384,
-1.1182961463928223,
0.02141672745347023,
-0.13917259871959686,
-0.2416545450687408... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | John Henson was on the 2010-2011 North Carolina Tar Heels Men's Basketball Team. The 6'10" forward hails from Tampa, FL. | 3 | NIv2 | task1409_dart_text_generation | fs_opt | [
0.09814149141311646,
0.6695061922073364,
-0.42598211765289307,
-0.4351170063018799,
0.012811894528567791,
-0.46716928482055664,
0.49131038784980774,
0.8111454248428345,
-0.33961308002471924,
0.3047243654727936,
-0.07337667793035507,
0.26249387860298157,
-0.6918874382972717,
-0.733559191226... |
Detailed Instructions: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Q: Context: Taylor sent me a text message about their birthday party and told me not to tell the others.
Answer... | What will happen to Others? | 9 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.34424084424972534,
0.8290494084358215,
0.135637104511261,
-0.2899005711078644,
0.1273001730442047,
-1.293954610824585,
-0.0969860851764679,
0.20145216584205627,
0.5579521059989929,
0.10292388498783112,
0.6347734332084656,
0.037969835102558136,
-1.195958137512207,
-0.10217519849538803,
... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. Y... | to decorate the room | 0 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.2767382860183716,
0.4141690731048584,
0.03819703310728073,
-0.2412048578262329,
0.4113730788230896,
0.27170854806900024,
0.1204904317855835,
0.45586931705474854,
0.32972729206085205,
-0.1597519963979721,
-0.08072240650653839,
-0.671001136302948,
-0.43242835998535156,
-0.2144059389829635... |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Q: CONTEXT: Raúl Navarro, subdelegado del Gobierno en Tarragona, dijo ayer que las 700 hectáreas del rec... | subdelegado del Gobierno en Tarragona | 4 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
-1.1134673357009888,
0.41797733306884766,
0.23572736978530884,
-0.39228540658950806,
-0.3691447377204895,
0.17975783348083496,
-0.3316532373428345,
0.6289221048355103,
0.5018676519393921,
-0.1648167371749878,
0.1006775051355362,
0.32388588786125183,
-1.138000249862671,
0.881412148475647,
... |
Given the task definition and input, reply with output. You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified... | stereotype | 5 | NIv2 | task319_stereoset_classification_profession | zs_opt | [
-0.9935157895088196,
0.39233219623565674,
0.044812753796577454,
0.2356192171573639,
0.05033675581216812,
0.03067885711789131,
-0.15298238396644592,
0.7597779631614685,
0.5441746711730957,
0.06937362253665924,
-0.6445167660713196,
-0.2316114455461502,
-0.502799391746521,
-0.1552128791809082... |
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any ... | Going on a diet was easier for PersonX but not PersonY because _ did not know about any different programs. | 3 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.8671476244926453,
0.02318280003964901,
-0.33933916687965393,
-0.2057550698518753,
0.14347338676452637,
-0.9777672290802002,
1.3421416282653809,
0.6293686032295227,
-0.5035635232925415,
-0.6161271929740906,
-0.3066098093986511,
-0.12014400959014893,
-0.9328852891921997,
0.4047636389732361... |
In this task, you need to reverse the order of words in the given sentence.
[EX Q]: Sentence: a close up of a plate of food
[EX A]: food of plate a of up close a
[EX Q]: Sentence: a man in blue shirt and white shorts with a frisbee
[EX A]: frisbee a with shorts white and shirt blue in man a
[EX Q]: Sentence: a man t... | car his in seated while phone his on talking man a
| 6 | NIv2 | task376_reverse_order_of_words | fs_opt | [
0.13308802247047424,
0.7338786125183105,
-0.4828505218029022,
-0.7198169827461243,
-0.3462415933609009,
0.601330041885376,
0.7022580504417419,
-0.13567033410072327,
0.11439844220876694,
0.11583995074033737,
-0.8207157850265503,
-0.06401422619819641,
0.3979252576828003,
0.34816405177116394,... |
Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Q: (CNN) When a man snatched a wallet from a passerby's hand Tess Aboughoushe ran after him. When she caught him she invited him for ... | Kobe Steel
****
| 4 | NIv2 | task419_persent_answer_generation | fs_opt | [
-0.13947437703609467,
0.1114722266793251,
-0.38874727487564087,
-0.4039071202278137,
0.5747225284576416,
-0.020899120718240738,
0.37666821479797363,
0.9308249354362488,
-0.42305076122283936,
0.40263867378234863,
0.43828973174095154,
0.6612991094589233,
-0.2791832685470581,
0.26808935403823... |
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