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 |
|---|---|---|---|---|---|---|
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: لذا يتراكب كل شيء فوق الآخر مثل هنا في ساو باولو.
Student: | Ecco una cosa spiaccicata contro un'altra, qui siamo a Sao Paulo. | 6 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.1259479522705078,
0.7478801608085632,
-0.014055432751774788,
-0.5409272909164429,
-0.5184602737426758,
0.029161987826228142,
0.45047426223754883,
1.0568616390228271,
-0.09966199845075607,
-0.6773620843887329,
0.3910374641418457,
0.10497742146253586,
-0.7833950519561768,
0.17336562275886... |
You will be given a definition of a task first, then some input of the task.
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.
9... | -1630 | 1 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.49027347564697266,
0.28785499930381775,
-1.10792076587677,
0.054995376616716385,
-0.26841890811920166,
0.26375678181648254,
0.5454263687133789,
1.233020544052124,
0.42613887786865234,
-0.06678606569766998,
-0.44950926303863525,
-0.2539524435997009,
-0.5221080780029297,
0.080150373280048... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Eles criam nichos para outras espécies. | Crean nichos para otras especies. | 0 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-1.414270043373108,
0.43084290623664856,
0.2626017928123474,
0.5456247329711914,
-0.2593480050563812,
-0.06786522269248962,
0.1674652099609375,
0.4657832384109497,
0.5946019291877747,
-0.1646738052368164,
-0.4533436894416809,
-0.3874131441116333,
-0.9407384991645813,
0.4801463484764099,
... |
Detailed 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 'Y... | No | 9 | NIv2 | task227_clariq_classification | zs_opt | [
-0.15636935830116272,
-0.0035884592216461897,
-0.5111499428749084,
0.3573874533176422,
-0.6008705496788025,
-1.3820457458496094,
0.6265431642532349,
0.233016699552536,
0.3507894277572632,
0.3235458433628082,
0.0781172513961792,
-0.1970815658569336,
-0.4372807741165161,
0.14659909904003143,... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Input: Consider Input: ['7763', '6003', 'V']
Output: 13766
Input: Consider Input: ['6051', '5303', '1509', '2797', 'Z', '4777', '721', '8563', 'K', '63', '9115', 'd', '7305', '9743', ... | Output: 71396
| 2 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
0.22683288156986237,
0.5206639766693115,
-0.7039250135421753,
-0.7826724052429199,
-0.2894216775894165,
0.3988494277000427,
0.1283125877380371,
-0.0338921844959259,
-0.15704378485679626,
0.14953002333641052,
-0.8420737385749817,
-0.23908694088459015,
0.3797944188117981,
-0.3253505229949951... |
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 conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emoti... | informal | 0 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
0.025844542309641838,
0.5675492286682129,
-0.24572312831878662,
-0.7176690697669983,
0.11530561745166779,
-0.44956037402153015,
0.8465643525123596,
0.6562741994857788,
-0.24091538786888123,
-0.027809210121631622,
-1.0113286972045898,
-0.6425968408584595,
-0.5946098566055298,
0.256933271884... |
Instructions: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Input: Context: The War of the League of Cambrai, sometimes known as the War of the ... | lombardy | 3 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.790899395942688,
0.30071765184402466,
-1.194709062576294,
0.35606181621551514,
0.7480517625808716,
-0.36226019263267517,
0.8057044148445129,
0.9322353601455688,
0.04746682941913605,
0.24066975712776184,
0.3786481022834778,
0.6327356100082397,
-0.596583366394043,
0.4528057277202606,
-0.... |
Detailed Instructions: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slat... | N | 9 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.474131464958191,
0.4532427191734314,
-0.051539696753025055,
-0.695236325263977,
0.022060217335820198,
0.49265187978744507,
0.3099815249443054,
0.5544191598892212,
0.45964738726615906,
0.23182964324951172,
-0.34710174798965454,
-0.02950567752122879,
-0.7519714832305908,
-0.19086125493049... |
Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Don't create questions wh... | How often did he go out to play and splash?
| 7 | NIv2 | task015_mctaco_question_generation_frequency | fs_opt | [
-0.46732401847839355,
0.39877212047576904,
-1.0604342222213745,
0.3152052164077759,
-0.4018455147743225,
-0.8687103986740112,
0.38215306401252747,
0.6998996734619141,
-0.5793302655220032,
-0.058291517198085785,
-0.7986676096916199,
0.25720927119255066,
-0.25912943482398987,
0.4926431775093... |
Teacher:In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Teacher: Now, understand the problem? Solve this instance: Generative Adversarial Networks (GANs) can produce ... | We develop a novel approach to model object compositionality in images in a GAN framework. | 6 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
-0.5471635460853577,
-0.11228174716234207,
0.21555037796497345,
-0.3872860074043274,
-0.19321149587631226,
-0.5785341858863831,
0.6857061386108398,
0.8151474595069885,
0.2749057412147522,
0.18084707856178284,
-0.7325880527496338,
-0.14949513971805573,
-0.6662073135375977,
0.540722250938415... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Let me give you an example: We notice a man in a kayak and a yellow helmet coming in from the left. As he approaches, his kayak
The answer to this example can be: flips upside - dow... | skateboard free in the road with other boys, until arrive all skateboarders to an street intersection. | 8 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.06878605484962463,
0.5805953145027161,
-0.3859831690788269,
-0.35044294595718384,
-0.40786460041999817,
-0.4363519549369812,
0.14401370286941528,
0.7064192891120911,
0.24351096153259277,
0.3660491704940796,
-0.11027567088603973,
0.019453557208180428,
-0.49341386556625366,
0.0557322688400... |
Detailed Instructions: 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... | Yes | 9 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.5425722599029541,
0.5186895132064819,
0.3468518853187561,
0.44973087310791016,
0.12380807846784592,
-1.4239263534545898,
0.23905789852142334,
0.7542555332183838,
-0.2494586557149887,
0.019986335188150406,
-0.34764039516448975,
0.5919828414916992,
-0.9754843711853027,
0.6003679037094116,... |
Given the task definition and input, reply with output. 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.
Even my kids like this. They are always asking for hot cocoa. Its not too sweet and very chocolaty. It is... | Positive | 5 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
0.062149979174137115,
-0.21080613136291504,
0.8915644884109497,
0.11640587449073792,
0.08436155319213867,
-0.16698302328586578,
0.3034156262874603,
0.21396131813526154,
0.0894448533654213,
-0.1911306530237198,
-0.0036695878952741623,
-0.7237551212310791,
-0.3297216296195984,
-0.26425412297... |
Detailed Instructions: Adverse drug reactions are appreciably harmful or unpleasant reactions resulting from an intervention related to the use of medical products, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the p... | non-adverse drug event | 8 | NIv2 | task1495_adverse_drug_event_classification | zs_opt | [
0.1369931548833847,
0.17659246921539307,
-0.29098665714263916,
-0.5307946801185608,
-0.3593723475933075,
-0.8008756637573242,
0.4311859905719757,
1.0890967845916748,
0.8362682461738586,
0.22163257002830505,
-0.626468300819397,
0.10399846732616425,
-0.516299307346344,
-0.3984122574329376,
... |
Teacher:You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Teacher: Now, understand the problem? Solve this instance: Category: TV TEENS
Clue: W... | fred savage | 6 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.11762325465679169,
1.0508716106414795,
0.029740598052740097,
-0.463008314371109,
0.25382429361343384,
0.2553453743457794,
0.3220474123954773,
0.4481046795845032,
0.08663403987884521,
0.04921749234199524,
-0.21381084620952606,
-0.26720505952835083,
-0.8844485282897949,
-0.154719471931457... |
Detailed Instructions: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Problem:Paragraph: Its harder to overcome friction between heavier objects and the floor than it is between lighter objects and the floor... | more | 8 | NIv2 | task1731_quartz_question_answering | zs_opt | [
0.3028387725353241,
0.5698335766792297,
-0.11702875047922134,
-0.0928601399064064,
-0.05557778850197792,
-0.6381464600563049,
0.26685166358947754,
0.8181787729263306,
0.6905487775802612,
-0.08033020794391632,
-0.0026341076008975506,
0.00651737442240119,
-0.6498932838439941,
0.6185585260391... |
You will be given a definition of a task first, then some input of the task.
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
A cordon was put in place around the Hull Paragon Interchange in the city centre at about 15:40 BST after reports of a smell ... | Dozens of people were evacuated from a bus and railway station because of a suspected gas leak. | 1 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.5629075765609741,
0.7890924215316772,
0.48351988196372986,
-0.48248761892318726,
-0.21425580978393555,
-0.7964924573898315,
0.260762095451355,
0.4733777642250061,
-0.3538611829280853,
0.012773947790265083,
-0.2091224640607834,
0.24625647068023682,
-0.040497273206710815,
0.076868310570716... |
Detailed Instructions: A text is given in Marathi. Translate it from the Marathi language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: ବନ୍ୟା ପରିସ୍ଥିତିର ମୁକାବିଲା ପାଇଁ ବିହାର ସରକାରଙ୍କୁ ସମସ୍ତ ପ୍ରକାର ସହାୟତା ଯୋଗାଇ ଦେବାଲାଗି କେନ୍ଦ୍ର ସରକାର ଆଶ୍ୱାସନା ଦେଇଛନ୍ତି । ଜାତୀୟ ବିପର୍ଯ୍... | जे शौर्य पुरस्कार विजेते आहेत, आपल्या देशाचा सन्मान वाढवणारे लोक आहेत, त्यांच्या संपूर्ण माहितीसह आज शौर्य पुरस्कार विजेत्यांचे एक पोर्टल सुरू केले जात आहे. | 9 | NIv2 | task1056_pib_translation_oriya_marathi | zs_opt | [
0.3010755777359009,
0.5969822406768799,
-0.17362868785858154,
-0.0720793828368187,
0.26323044300079346,
-1.1772046089172363,
0.7003793716430664,
-0.007311491295695305,
-0.3950619101524353,
-0.07374601066112518,
-0.536039412021637,
-0.4824499785900116,
-0.2815254330635071,
0.243054419755935... |
Q: 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 det... | Yes | 7 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.15115125477313995,
0.3458443582057953,
-0.03848414868116379,
-0.3391523063182831,
-0.25877031683921814,
-0.5505668520927429,
1.1491962671279907,
0.31105655431747437,
-0.6254822015762329,
-0.06335661560297012,
-0.1883264183998108,
-0.285264790058136,
-0.8267870545387268,
0.148497909307479... |
Part 1. Definition
Translate the given Spanish text to English
Part 2. Example
A method for converting a series of m-bit information words to a modulated signal is described.
Answer: Se describe un método para convertir una serie de palabras de informacion de bits m a una señal modulada.
Explanation: The translation is... | Aplicable a la industria del automóbil. | 7 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
0.0351736806333065,
-0.20043328404426575,
0.24324089288711548,
-0.31929874420166016,
0.40388360619544983,
-0.6286161541938782,
0.2197728455066681,
0.461963951587677,
0.7298256158828735,
-0.09021637588739395,
-0.420332670211792,
0.07069636881351471,
0.2872872054576874,
0.027996666729450226,... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Example: M: I am considering ... | (C) The piano. | 1 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.5054996609687805,
0.3419625461101532,
-1.3505021333694458,
0.0029546308796852827,
0.6003062129020691,
-0.39146798849105835,
1.2426631450653076,
0.6500789523124695,
0.09614994376897812,
0.10787741839885712,
-0.35717225074768066,
0.10073438286781311,
0.40344011783599854,
-0.284597933292388... |
Definition: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Input: For the meatballs, 1 lb lean ground beef, 1 lb ground veal (or may use ground beef or ground pork as well), 2/3 cup roasted red pepper, mi... | meatballs, lean ground beef, ground veal, roasted red pepper, parmesan cheese, garlic, onion, eggs, breadcrumbs, salt, black pepper, red pepper, water, meatballs, spaghetti sauce | 2 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
0.06027793884277344,
0.1868182122707367,
-0.36731821298599243,
0.7357181310653687,
-0.28334134817123413,
-0.13275280594825745,
1.0424041748046875,
0.672178328037262,
-0.27551811933517456,
-0.1709805577993393,
-0.09742413461208344,
-0.13999934494495392,
-0.742949366569519,
-0.24067969620227... |
Given the task definition and input, reply with output. In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in w... | S, v, d, d, z, 9541, 433, 8045, 8767 | 5 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
0.13294734060764313,
0.7628112435340881,
-0.2945026755332947,
-0.1472168117761612,
0.03716098144650459,
0.25310003757476807,
0.5259367823600769,
0.1975502222776413,
-0.1298096925020218,
0.3472408652305603,
-0.4515191316604614,
0.19601941108703613,
0.15003804862499237,
-0.06930020451545715,... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
One example: The tro... | plate | 6 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.04263468459248543,
1.1163244247436523,
0.24594996869564056,
-0.4524003267288208,
0.03163923695683479,
-0.4320511817932129,
0.8423449993133545,
0.7131697535514832,
-0.03312412649393082,
-0.5000182390213013,
0.5604504942893982,
0.43065083026885986,
-0.3427516222000122,
0.2647385597229004,
... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | turn opposite right thrice after look right
| 1 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.367256760597229,
0.5780757069587708,
-0.6565456390380859,
0.24977347254753113,
-0.08763226121664047,
0.2874628007411957,
0.02415458858013153,
0.6958877444267273,
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-0.9019996523857117,
-0.3421720862388611,
-0.5831606388092041,
-0.11394806206226349... |
Instructions: Given a sentence, generate a new 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 being ... | You are likely to erect a bell in someone 's home . | 3 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.47873932123184204,
0.9950107336044312,
-0.5637824535369873,
0.43582582473754883,
0.2764141857624054,
-0.5608713626861572,
-0.1420769989490509,
0.7351993918418884,
-0.08208432048559189,
-0.10166896879673004,
-0.9270594120025635,
0.3895607590675354,
-0.8432325124740601,
-0.090635977685451... |
Q: A text is given in Marathi. Translate it from the Marathi language to the Oriya language. The translation must not omit or add information to the original sentence.
ବଳଦଗାଡ଼ି ଭଳି, ଏହାକୁ ଆପଣ ଚଲାଉଛନ୍ତି ।
A: | लोक सभा आणि राज्य सभा दोन्ही निवडणुका करून आले आहेत त्यांना माहित आहे. | 7 | NIv2 | task1056_pib_translation_oriya_marathi | zs_opt | [
0.2653670310974121,
1.083626389503479,
-0.37250906229019165,
0.2927321195602417,
-0.22811007499694824,
-1.1485388278961182,
0.5306425094604492,
0.19768977165222168,
0.07915160059928894,
-0.3524553179740906,
-0.26375025510787964,
-0.8134946823120117,
0.2653130292892456,
0.040773190557956696... |
Detailed Instructions: 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.
Problem:5, ['A', 'w', '9367', 'j', 'J', '457', 'z', 'C', 'V', 'S', 'P', '8791', '8675', '2... | A, w, 9367, j, J, 457, z, C, V, S, P, 8791, 8675, 2373, w, B, p, y, 1057, 4815 | 8 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
0.7995611429214478,
0.17980912327766418,
-0.3621431589126587,
-0.10853318125009537,
-0.5372211933135986,
0.01629948988556862,
0.5835549831390381,
-0.04218855872750282,
-0.1243240162730217,
-0.20029008388519287,
-0.915773868560791,
-0.23523050546646118,
0.36206626892089844,
-0.0203238539397... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Unrelated | 0 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
0.44150370359420776,
0.496981143951416,
-0.24405765533447266,
0.48737800121307373,
-0.5238885879516602,
0.0032398048788309097,
0.6087747812271118,
1.3182023763656616,
-0.2634280323982239,
-0.29764580726623535,
-0.7060855031013489,
0.07564685493707657,
-0.5655778646469116,
0.164748728275299... |
Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Verify if the sentiment of the following document towards the entity Melissa Gilbert is Positive . Gilbert ... | no
| 0 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-1.2775810956954956,
-0.0763101577758789,
0.4599584639072418,
0.02282559685409069,
0.20755000412464142,
-0.727451503276825,
-0.12356383353471756,
0.21392542123794556,
0.4448968470096588,
0.2531011700630188,
0.23823007941246033,
0.018279779702425003,
-0.16860589385032654,
-0.077841408550739... |
TASK DEFINITION: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentenc... | False
| 8 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.4811456799507141,
0.07860250771045685,
-0.326144814491272,
-0.23121169209480286,
0.11443370580673218,
-0.1995408535003662,
0.7610071897506714,
1.1312798261642456,
-0.12123743444681168,
0.1787402331829071,
-0.3716813027858734,
0.2823348045349121,
-0.6174073219299316,
-0.18434666097164154,... |
Detailed Instructions: In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
See one example below:
Problem: 7
Solution: Yes
Explanation: 7 is a prime number as it has no f... | No | 4 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.36064612865448,
1.1500166654586792,
0.06838428229093552,
0.02070668898522854,
-0.15842464566230774,
-0.5115649700164795,
0.8869790434837341,
1.0295588970184326,
0.32072219252586365,
-0.28392648696899414,
-0.29206886887550354,
0.1073281317949295,
-0.5242198705673218,
-0.02546232193708419... |
In this task, you are given a sentence in English language and its corresponding French translation. Here, your job is to output "yes" if the translation is correct, otherwise output "no".
--------
Question: English: What are your sustainable solutions for the planet?
French: Que pensez-vous de la formule actuelle de... | no
| 7 | NIv2 | task831_giga_fren_classification | fs_opt | [
-0.3471541702747345,
0.4573829174041748,
0.5831432342529297,
0.1946733295917511,
0.2718142867088318,
-0.8843933343887329,
-0.1583787053823471,
0.06164536625146866,
-0.16730906069278717,
0.39810216426849365,
-0.0024933302775025368,
-0.35976463556289673,
0.0024175290018320084,
-0.53106337785... |
Definition: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the... | [-21, -3, -11, -14, -20, -11] | 2 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.1620306670665741,
0.07751258462667465,
-0.8700306415557861,
0.1970961093902588,
0.3307434916496277,
-0.09678103774785995,
0.9539566040039062,
0.3567206859588623,
0.30377957224845886,
0.045327119529247284,
-0.7930501103401184,
-0.3347134590148926,
-0.3793424963951111,
0.26320889592170715,... |
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... | no
| 3 | NIv2 | task115_help_advice_classification | fs_opt | [
-0.41175201535224915,
0.5113574266433716,
0.1976834088563919,
0.11642561107873917,
0.2074592113494873,
-1.326583981513977,
0.42717739939689636,
0.7935604453086853,
-0.010502595454454422,
0.13019102811813354,
-0.31092339754104614,
-0.13153019547462463,
-0.5225005149841309,
-0.53432959318161... |
Detailed Instructions: In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
Problem:She put mustard on a sta... | C | 8 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | zs_opt | [
0.07587026059627533,
1.0117254257202148,
-0.5464400053024292,
-0.966183066368103,
0.188304603099823,
-0.3758591413497925,
0.33140015602111816,
0.6335801482200623,
0.23507380485534668,
0.011648358777165413,
-0.28811773657798767,
-0.05933668464422226,
0.2612992525100708,
-0.41665971279144287... |
We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FA... | Not similar
| 0 | NIv2 | task147_afs_argument_similarity_gay_marriage | fs_opt | [
-0.0395670160651207,
0.6914697885513306,
0.41975218057632446,
0.3135329484939575,
0.15315455198287964,
-0.2882247269153595,
0.05714862421154976,
0.7271308898925781,
-0.3085519075393677,
0.03152981027960777,
-0.6336435079574585,
0.3981063961982727,
-1.0410089492797852,
-0.270866334438324,
... |
In this task, you need to provide the correct option for a given problem from the provided options.
--------
Question: Problem: the ratio between speed of the two trains is 7 : 8 . if the 2 nd train runs 400 km in 4 hrs , what is the speed of the 1 st train ?
Options: a ) 87.9 , b ) 87.5 , c ) 87.7 , d ) 87.6 , e ) 43... | c
| 7 | NIv2 | task1421_mathqa_other | fs_opt | [
-0.02452171966433525,
0.7599759101867676,
-0.16080370545387268,
0.1512453854084015,
-0.24830114841461182,
0.5005106925964355,
-0.22600625455379486,
0.9557501077651978,
0.11466668546199799,
-0.2576180696487427,
-0.40361112356185913,
-0.23602494597434998,
0.15203391015529633,
-0.224816903471... |
Given the task definition and input, reply with output. In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
A little shiver ran down her spine.
| Singular | 5 | NIv2 | task431_senteval_object_count | zs_opt | [
-1.3291876316070557,
0.7108438611030579,
0.3181028366088867,
0.018449435010552406,
-0.24943585693836212,
-0.22551214694976807,
0.7053526043891907,
0.007019848097115755,
0.17308518290519714,
-0.45872431993484497,
-0.3212871551513672,
0.03054497204720974,
-0.31849342584609985,
-0.19231003522... |
Detailed Instructions: Given a sentence in Dutch, generate a new Dutch 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 ... | Als u vraagt om een schilderij te schilderen dan moet u uw handen regelen. | 8 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.35590341687202454,
0.8687735795974731,
-0.4707452356815338,
-0.24204246699810028,
-0.2179410606622696,
-0.33861199021339417,
0.47266143560409546,
0.5037908554077148,
0.38786745071411133,
-0.5319598317146301,
-0.4171611964702606,
0.6063097715377808,
-0.629639744758606,
0.3285928368568420... |
You will be given a definition of a task first, then some input of the task.
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equall... | PersonX created a meal plan for PersonY because he needed to lose weight; _ was a nutritionist. | 1 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.4328569769859314,
0.4529675543308258,
0.19611988961696625,
0.12306457757949829,
0.10609129816293716,
-0.014806445688009262,
0.8543351888656616,
0.7969433069229126,
-0.11577187478542328,
-0.8406015038490295,
0.13296471536159515,
-0.3081504702568054,
-0.4071139097213745,
-0.141576066613197... |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: And then there are six different categories of things we can do to change the trajectory.
Student: | Ed infine ci sono sei diverse categorie di cose che possiamo fare per cambiarne la traiettoria. | 6 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.07811644673347473,
0.2287331074476242,
1.185523509979248,
-0.2791932225227356,
-0.7399422526359558,
-0.35594886541366577,
-0.08068528771400452,
0.6078672409057617,
0.43064361810684204,
-0.4317060708999634,
0.2370263785123825,
-0.11895178258419037,
-0.46548354625701904,
-0.55314707756042... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Q: Text: this happened sunday night, so not quite today so screw it. also not using a throw away because... | thought it'd be fun if i beat my girlfriend whilst having sex. she did not enjoy. | 4 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
-0.530634880065918,
0.5513423085212708,
-0.09585819393396378,
-0.4437556266784668,
-0.31922656297683716,
-0.1128896176815033,
0.12425060570240021,
0.9237418174743652,
-0.18934090435504913,
-0.09063820540904999,
-0.4943559169769287,
0.10400966554880142,
-0.3244251012802124,
-0.3877283334732... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words ar... | ['when', 'I', 'was', 'seven', 'years', 'old,', 'I', 'saw', 'my', 'uncle', 'doing', 'his', 'homework', 'he', 'was', 'a', 'he', 'was', 'a', 'student', 'at', 'the', 'University', 'of', 'New', 'Orleans', 'studying', 'to', 'be', 'an', 'engineer', 'and', 'I', 'asked', 'him', 'what', 'his', 'homework', 'was,', 'he', 'said', '... | 1 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
0.9839624166488647,
0.3612440824508667,
-0.02458866313099861,
0.07845976203680038,
0.7620296478271484,
-0.8039506077766418,
0.2961212992668152,
0.932052731513977,
-0.6192419528961182,
0.07640460878610611,
-0.6215758919715881,
-0.07398030161857605,
-0.006608573719859123,
-0.0238013509660959... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 4 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.19431741535663605,
0.3979864716529846,
0.4276881814002991,
-0.397892028093338,
-0.47366106510162354,
-0.7205405235290527,
1.0497369766235352,
0.01885680854320526,
-0.4759919047355652,
-0.4503035247325897,
-0.2840040326118469,
-0.6273541450500488,
-0.6043245792388916,
0.3018968403339386,
... |
Teacher: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Category: construction
Words: ... | protein | 2 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
-0.08431882411241531,
0.6216885447502136,
0.2331235706806183,
-0.4115794897079468,
0.01987820491194725,
0.0902886763215065,
0.07827484607696533,
0.6412930488586426,
0.13016682863235474,
-0.2576960325241089,
-0.9517443180084229,
0.16961117088794708,
-0.6842485666275024,
-0.24743831157684326... |
Detailed Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Problem:These are not black winter truffles (Tuber melanosporum). I thought the price was too good to be... | True | 8 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
-0.8633502721786499,
-0.13479594886302948,
0.1613440066576004,
0.24599656462669373,
-0.22941550612449646,
-0.06512138992547989,
0.23684188723564148,
0.25302812457084656,
-0.031414709985256195,
0.029110819101333618,
-0.02977912686765194,
0.06382711231708527,
-0.5511195063591003,
-0.08349795... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
[EX Q]: Y entonces, ¿cómo estás destilando esto para comprender las discontinuidades potenciales, para luego tomar la decisión de hacer algo en este momento para que estés preparado y listo?
[EX A]: そしてどのようにしてこのような経験を生かして... | 素晴らしいことでした
| 6 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.13115587830543518,
0.22658786177635193,
0.06355084478855133,
-0.29923734068870544,
-0.40112370252609253,
-0.35975393652915955,
0.9264712333679199,
0.6391421556472778,
0.449299693107605,
-0.2941538095474243,
-0.6719845533370972,
0.25206905603408813,
-0.7677034735679626,
0.428965151309967... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | positive | 8 | NIv2 | task284_imdb_classification | fs_opt | [
-0.10398487001657486,
0.05926082655787468,
-0.6506386995315552,
-0.12029360979795456,
0.24021312594413757,
-0.06351753324270248,
1.051816463470459,
1.1568386554718018,
0.19524693489074707,
0.17572280764579773,
-0.7690073251724243,
-0.008889452554285526,
-1.147019624710083,
-0.0245078392326... |
Part 1. Definition
In this task, you will be presented with a question having multiple possible answers in Spanish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Part 2. Example
Question: Era un regalo popular y común este año, así que se d... | B | 7 | NIv2 | task1131_xcsr_es_commonsense_mc_classification | fs_opt | [
0.25458988547325134,
0.5326671004295349,
-0.20158526301383972,
-0.03200072422623634,
0.08224236965179443,
-0.07909566164016724,
0.8766113519668579,
0.7093889713287354,
0.3605947196483612,
-0.640937089920044,
-0.06839989870786667,
-0.09876184910535812,
-0.05764716491103172,
0.20144864916801... |
Q: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in th... | 4a, 2c | 7 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.3333311676979065,
0.10898415744304657,
0.1795784831047058,
0.06328833103179932,
0.14351604878902435,
0.35341012477874756,
0.0908060073852539,
1.1970093250274658,
-0.5289678573608398,
0.04755207151174545,
-0.13616275787353516,
-0.20823633670806885,
0.5708668231964111,
-0.4719877243041992... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences a... | 1 | 1 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.6383639574050903,
1.0494232177734375,
0.2738393247127533,
-0.13157466053962708,
-0.43013545870780945,
-0.1545393466949463,
0.1960659623146057,
0.133636474609375,
0.1906965970993042,
-0.26102280616760254,
-0.5978056192398071,
-0.058843955397605896,
-0.3596286177635193,
0.0075408373959362... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Input: Consider Input: En el caso de las drogas, que necesitábamos libertarios, antiprohibicionistas, legisladores, y políticos liberales.
Output: Nel caso della droga, ci servivano liberali, anti-proibizionisti, legalizz... | Output: Ho lavorato con un biologo sintetico, e ho creato un profumo che si ingoia, ossia una pillola cosmetica che si mangia e la fragranza fuoriesce dalla superficie della pelle quando traspirate.
| 2 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.5611336827278137,
0.8074932098388672,
-0.5139706134796143,
0.14731621742248535,
-0.05858101323246956,
-0.8108960390090942,
-0.7510223388671875,
1.1778558492660522,
0.5026435852050781,
0.027090206742286682,
-0.3848492503166199,
-0.06486141681671143,
-0.057251639664173126,
-0.528885006904... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Input: それで私たちは現在「ノマド」と呼ばれる正に部族女性自身の初のファッションブランドに着手しました
Output: | و لذلك قررنا أن ندشن أول علامة تجارية مسجلة على الإطلاق للنساء القبليات و التي تسمى الأن "" نوماد "" | 2 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
0.13029444217681885,
0.061318378895521164,
0.12532444298267365,
-0.13798892498016357,
-0.12877283990383148,
-0.10642722994089127,
0.022031232714653015,
0.27550339698791504,
0.571449339389801,
0.4203447997570038,
0.09436798095703125,
-0.24512355029582977,
-1.135709524154663,
-0.564258575439... |
Given the task definition and input, reply with output. In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and shoul... | kangaroo | 5 | NIv2 | task401_numeric_fused_head_reference | zs_opt | [
-0.24914541840553284,
0.7624030113220215,
0.2530001699924469,
-0.6887335777282715,
-0.40918153524398804,
0.023863401263952255,
0.7092189788818359,
1.2690515518188477,
0.17096790671348572,
0.07853807508945465,
-0.4213860332965851,
0.21999767422676086,
-0.5933815240859985,
-0.246267825365066... |
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum b... | mero
| 6 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
-0.10665137320756912,
0.339482843875885,
-0.029426924884319305,
0.14679837226867676,
-0.7433217763900757,
0.29318881034851074,
-0.11661285161972046,
0.6081199645996094,
0.10698743164539337,
-0.7312281131744385,
-0.5218384265899658,
0.35918092727661133,
-0.6169108152389526,
0.40910258889198... |
Part 1. Definition
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that... | In what century was the Eglise Saint-Etienne constructed? | 7 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.8370524644851685,
0.4484129250049591,
-1.043736219406128,
-0.4156612753868103,
0.11198833584785461,
-0.6446532011032104,
1.290341854095459,
1.0697404146194458,
0.15445180237293243,
0.48652589321136475,
0.04736331105232239,
0.49904826283454895,
-0.8970183730125427,
0.3750455379486084,
-... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | True
| 0 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.2130541056394577,
0.18591028451919556,
-0.3715566396713257,
-0.15534722805023193,
-0.38606446981430054,
0.2698274254798889,
0.6529337763786316,
1.0906102657318115,
-0.033384837210178375,
-0.30004987120628357,
-1.1487146615982056,
-0.08457326889038086,
0.004611713346093893,
0.17863935232... |
Definition: In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Input: Passage: No Cities to Love w... | Answer: post-punk | 2 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.5049557089805603,
0.8753359913825989,
-0.745841383934021,
0.30992746353149414,
0.4640677273273468,
-0.26692864298820496,
0.563825786113739,
0.8290303945541382,
-0.008029310032725334,
0.4445090591907501,
-0.09736387431621552,
0.22332243621349335,
-1.1102404594421387,
-0.017172809690237045... |
Detailed Instructions: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in ... | [24795, -41, 1, -15, 95] | 9 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.2675446569919586,
0.05606039986014366,
-0.6549190878868103,
-0.30695557594299316,
-0.05767300724983215,
-0.4218880534172058,
1.1328439712524414,
-0.23017974197864532,
-0.2651379704475403,
-0.3670216500759125,
-1.0860071182250977,
-0.2103501558303833,
-0.48873698711395264,
-0.20274057984... |
Translate the given Spanish text to English
After a sufficient time, the composition is removed by rinsing the hair.
Después de un tiempo suficiente, se elimina la composicion enjuagando el pelo.
The respective ends of the axle tube overlap the adjacent ends of the trailing arm sections and their front faces coincide... | Aplicable a la industria del automóbil.
| 0 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.22080948948860168,
-0.08057454228401184,
-0.016780372709035873,
0.23280954360961914,
0.0812876969575882,
-0.6949011087417603,
0.4306957721710205,
0.41672372817993164,
-0.5057057738304138,
0.6617377400398254,
-0.1801210641860962,
-0.9048947095870972,
0.008140147663652897,
0.1375766843557... |
Q: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniqu... | SELECT first_name , country_code FROM players ORDER BY birth_date LIMIT 1 | 7 | NIv2 | task107_splash_question_to_sql | zs_opt | [
0.7580463290214539,
0.3285124599933624,
-1.1615957021713257,
0.9930591583251953,
-0.37459856271743774,
-0.3639977276325226,
0.7414582371711731,
1.044360637664795,
-0.38649046421051025,
0.4590187668800354,
0.04868146777153015,
0.355377733707428,
0.07296101748943329,
0.42137807607650757,
0... |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used f... | Output: ADV
| 2 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.3339742422103882,
0.35635602474212646,
-0.21518278121948242,
0.0912562906742096,
-0.020968172699213028,
-0.3238879442214966,
0.5167586803436279,
0.7329031229019165,
-0.23618873953819275,
-0.21527428925037384,
-0.5499588251113892,
0.19232507050037384,
-0.4654221534729004,
0.31600761413574... |
instruction:
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
question:
It would have been nice. I'm a female engineer but no work will take me in! So
answer:
Hope... | Hope Speech
| 9 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.265560507774353,
0.22546935081481934,
-0.04949335753917694,
0.11813122779130936,
-0.28801286220550537,
-1.0096434354782104,
0.15322133898735046,
0.3717100918292999,
0.2154368758201599,
0.11267068982124329,
-0.567055344581604,
-0.011943928897380829,
0.055495381355285645,
0.32511341571807... |
Detailed Instructions: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not... | What do the goblins take after killing the stallion? | 9 | NIv2 | task193_duorc_question_generation | zs_opt | [
0.06517666578292847,
0.6302319765090942,
-0.9355169534683228,
-0.28085124492645264,
-0.07021909952163696,
-0.7506321668624878,
0.6910603046417236,
0.4706307053565979,
-0.6274974942207336,
-0.10139577835798264,
-0.22807607054710388,
0.09137382358312607,
-0.5321861505508423,
0.27676653861999... |
Q: 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".
Steve: Hey, Ranae. Do you happen to know where the ... | 6 | 7 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
-0.03584296256303787,
-0.23642924427986145,
-0.25789669156074524,
0.05988718196749687,
0.7357555627822876,
-0.1763940304517746,
0.9524633884429932,
0.9602663516998291,
-0.02866489067673683,
0.3729584515094757,
0.022696077823638916,
0.31609365344047546,
-0.22866588830947876,
0.5385925769805... |
You will be given a definition of a task first, then some input of the task.
A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
कुंडली पासून मानेसर पर्यंतच्या 83 किलोमीटर लांबीच्या दुसऱ्या टप्प्याचे आज लोकार... | दूसरा चरण, जो कुंडली से मानेसर तक 83 किलोमीटर लम्बा है, उसका आज लोकार्पण किया गया। | 1 | NIv2 | task1082_pib_translation_marathi_hindi | zs_opt | [
0.07246321439743042,
0.18520474433898926,
0.26754671335220337,
0.2687532901763916,
-0.17630605399608612,
-0.10455358773469925,
-0.18461276590824127,
0.34318530559539795,
-0.28057169914245605,
-0.2105814665555954,
-0.3894766569137573,
-0.29453691840171814,
0.17170450091362,
0.29976695775985... |
Detailed Instructions: This task is about translating a given French language sentence to English.
Q: En 2010, ils ont décidé que ce serait désormais OK que les corporations dépensent autant d'argent qu'elles veulent pour nous imposer un choix de vote.
A: | In 2010, they decided that it'd be just fine for corporations to spend as much money as they want telling us who to vote for. | 9 | NIv2 | task1690_qed_amara_translation | zs_opt | [
0.28197428584098816,
0.8379737734794617,
0.13888442516326904,
-0.11525487899780273,
-0.22220507264137268,
-1.6578137874603271,
0.15100233256816864,
0.44213801622390747,
0.32787901163101196,
0.30150434374809265,
0.9287081956863403,
-0.41944146156311035,
0.6662428379058838,
-0.98450666666030... |
Given the task definition, example input & output, solve the new input case.
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 a... | hydroelectric | 1 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.5937021374702454,
0.8941053152084351,
-0.5186647176742554,
0.5664417743682861,
0.09645672142505646,
-1.0569777488708496,
0.16640210151672363,
0.5270817279815674,
0.18918465077877045,
0.22107872366905212,
0.14624479413032532,
-0.3258035480976105,
-0.11014197766780853,
-0.5326420068740845,... |
Detailed Instructions: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at mos... | A 12-year-old girl livestreamed her suicide by hanging. | 8 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
0.769615888595581,
0.3117769956588745,
-0.6822550892829895,
-0.6839646100997925,
-0.14687958359718323,
-0.016826050356030464,
0.9666834473609924,
1.0964841842651367,
-1.003853440284729,
0.3326365351676941,
0.1866963505744934,
0.08639946579933167,
-0.40332144498825073,
0.41632139682769775,
... |
Detailed Instructions: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Q: Context: Carson t... | True | 9 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.0760669931769371,
-0.6084569692611694,
0.5816087126731873,
-0.08550513535737991,
-0.28720372915267944,
-0.14182263612747192,
0.9424681663513184,
0.84967041015625,
0.3640238046646118,
0.44378966093063354,
-0.10423228144645691,
-0.010301345959305763,
-0.09155602753162384,
0.22467663884162... |
Q: In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Context: Quinn ... | B | 7 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
-0.057298384606838226,
0.6113139390945435,
0.20954003930091858,
-0.25695762038230896,
0.010168192908167839,
-0.06509533524513245,
0.6685251593589783,
0.2611364424228668,
-0.17494253814220428,
0.37167561054229736,
-0.38290226459503174,
-0.6047728061676025,
0.2627117335796356,
-0.21060103178... |
Q: In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
Premise: Texas' Nineteenth Congre... | Entailment | 7 | NIv2 | task1385_anli_r1_entailment | zs_opt | [
-0.6163773536682129,
-0.38533708453178406,
0.2519037127494812,
0.6552870273590088,
0.07690958678722382,
-1.636434555053711,
0.6501010656356812,
0.1263679713010788,
0.5217033624649048,
0.23983865976333618,
-0.41035449504852295,
0.30142009258270264,
-0.652162492275238,
-0.22182270884513855,
... |
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 question. Your task is to generate an answer that is relevant to the question.
Are you willing to do shopping with me?
Solution: I only like to shop during festivals
Wh... | I am very fresh. | 0 | NIv2 | task565_circa_answer_generation | fs_opt | [
-0.1897726207971573,
0.31006982922554016,
-0.04464498907327652,
0.4314439296722412,
0.0020720884203910828,
-0.23489320278167725,
0.5084757804870605,
0.2548336982727051,
0.376361608505249,
0.125667005777359,
-0.46347230672836304,
0.030831322073936462,
-0.396822988986969,
0.4424336552619934,... |
Detailed Instructions: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Q: What is the highest peak in Germany?
A: | zugspitze | 9 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
-0.3050360083580017,
1.2004895210266113,
0.1391119360923767,
-0.32361358404159546,
-0.6268154382705688,
0.2198755443096161,
0.7426514029502869,
0.8107022047042847,
0.2980973720550537,
-0.9963952302932739,
-0.3397020101547241,
0.2110629826784134,
-1.356431007385254,
-0.06297963857650757,
... |
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
One example: Hello. How may I aid you today?
Solution is here: agent
Explanation: This is a pretty straightforward dialogue, and the speak... | customer | 6 | NIv2 | task575_air_dialogue_classification | fs_opt | [
0.10184253752231598,
0.4422868490219116,
-0.24493911862373352,
-0.739518404006958,
-0.10553177446126938,
-0.12830187380313873,
0.769113302230835,
-0.0070182569324970245,
0.7254078388214111,
0.37836071848869324,
-0.7383908629417419,
-0.026211775839328766,
-0.5220309495925903,
0.080426692962... |
Detailed Instructions: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
See one example below:
Problem: Japanese: 詳細は昨日UTC17時30... | No | 4 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.04907666891813278,
-0.05663672834634781,
-0.04495144635438919,
0.2003340721130371,
0.08074593544006348,
-0.28935977816581726,
-0.31639689207077026,
-0.1774606555700302,
-0.26072487235069275,
-0.12678033113479614,
-0.1510695368051529,
0.4750131070613861,
-0.3029809594154358,
0.6625338792... |
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be ... | Output: Are bronchoalveolar lavage fluid D dimer levels higher and more prevalent in black patients with pulmonary sarcoidosis?
| 2 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.12157668173313141,
0.43367239832878113,
-0.815361499786377,
0.32299724221229553,
0.43468040227890015,
-0.7469664812088013,
0.9283523559570312,
0.9484798908233643,
-0.20445579290390015,
0.5546057224273682,
-0.6316842436790466,
0.25243866443634033,
-0.20333197712898254,
0.23451296985149384... |
You will be given a definition of a task first, then some input of the task.
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 char... | None | 1 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.43311363458633423,
0.4154512286186218,
-0.2731586992740631,
-0.3538725972175598,
0.24413682520389557,
-0.06291715800762177,
0.3489731252193451,
0.3551408052444458,
0.6650006771087646,
-0.28042396903038025,
0.017189493402838707,
-0.5269442796707153,
-0.16638794541358948,
0.29893845319747... |
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" based on your judgment.
E... | Inversion
| 3 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.8299542665481567,
0.516861617565155,
0.4391530156135559,
-0.11176159977912903,
-0.10891135036945343,
0.06316325813531876,
0.5641633868217468,
0.44182634353637695,
0.4561923146247864,
-0.3245611786842346,
-1.1198158264160156,
-0.4896292984485626,
-0.4733006954193115,
-0.08689899742603302... |
Given a sentence in Dutch, generate a new Dutch 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 being... | Je zou een kopen omdat je een plek wilt om persoonlijke huisdieren te houden. | 0 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.667244553565979,
0.6799106597900391,
-0.23879852890968323,
-0.2780311107635498,
-0.19445586204528809,
-0.761496365070343,
0.09771326184272766,
0.32775402069091797,
0.45439767837524414,
-0.5259177684783936,
-0.7088084816932678,
1.0588595867156982,
-0.7290065288543701,
0.21659566462039948... |
Instructions: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require ... | Why does he cease to complete his homework? | 3 | NIv2 | task193_duorc_question_generation | zs_opt | [
0.573412299156189,
0.04814867302775383,
-0.2585609257221222,
0.007221691310405731,
0.22789528965950012,
-0.8516812324523926,
0.08514301478862762,
0.707962155342102,
-0.2701154351234436,
-0.33038339018821716,
0.23591464757919312,
0.5679210424423218,
0.2531139850616455,
0.12149845063686371,
... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
One example is below.
Q: you have encouraged me thank you for sharing
A: Hope Speech
Rationale: The given text con... | Not Hope Speech | 9 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
0.16294196248054504,
-0.0050295633263885975,
-0.07464155554771423,
-0.18148231506347656,
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-1.173218011856079,
0.478534072637558,
0.8098030090332031,
0.05709218606352806,
0.38696369528770447,
-0.2967222332954407,
0.07937755435705185,
-0.526216983795166,
0.2163306176662445... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Q: The Battle of Corunna (1809) took place in which war?
A: | battle of corunna | 4 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.5206245183944702,
0.6551506519317627,
-0.4584120810031891,
0.177676722407341,
-1.1916630268096924,
-0.4271230101585388,
-0.4807332158088684,
1.1614171266555786,
0.5220510959625244,
0.04572509974241257,
-0.36767905950546265,
0.10756116360425949,
-1.1603354215621948,
-0.21234387159347534,
... |
Part 1. Definition
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" based o... | Original | 7 | NIv2 | task428_senteval_inversion | fs_opt | [
0.0334685742855072,
-0.09894782304763794,
0.5619608759880066,
0.3031611442565918,
0.19324710965156555,
-0.06598509848117828,
0.6504324674606323,
0.3263868987560272,
0.4539251923561096,
-0.5164577960968018,
-1.1066901683807373,
-0.5490900874137878,
-0.7969810962677002,
-0.2253359854221344,
... |
Detailed Instructions: In this task, you are given a sentence. You are expected to recognize the name of any form of chemical substances. Although there might be several correct answers, you need to write one of them.
Q: Mechanistic Aspects of hSOD1 Maturation from the Solution Structure of Cu(I) -Loaded hCCS Domain 1 ... | Cu(I) | 9 | NIv2 | task1483_chemical_extraction_chemprot_dataset | zs_opt | [
-0.4633280634880066,
1.0394511222839355,
-0.39408764243125916,
-0.9744741320610046,
-0.16121375560760498,
-0.497247576713562,
0.42416316270828247,
0.4072730541229248,
0.2198292315006256,
0.09787058085203171,
-0.7242499589920044,
-1.0523741245269775,
-0.3188627064228058,
0.03062522411346435... |
You will be given a definition of a task first, then some input of the task.
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 alte... | A man beat up the Monster gang one night in an alley. | 1 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.4102998971939087,
0.22687114775180817,
0.21493542194366455,
-0.2463957965373993,
0.0680275410413742,
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0.008881848305463791,
0.48529839515686035,
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-0.28040599822998047,
0.28731319308280945,
-0.15765558183193207,
-0.29939061403... |
Detailed Instructions: 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... | The decay on PersonX's teeth is bad, but PersonY's are healthy. It's because _ regularly brushes his teeth. | 9 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.9962102174758911,
0.38263094425201416,
-0.3091452717781067,
-0.4870522618293762,
0.14733734726905823,
-0.8435325026512146,
1.419537901878357,
0.7468094229698181,
-0.49770379066467285,
-0.704254150390625,
-0.15836180746555328,
0.15638510882854462,
-0.5106783509254456,
0.20534835755825043,... |
You will be given a definition of a task first, then some input of the task.
A text is given in Bengali. Translate it from the Bengali language to the English language. The translation must not omit or add information to the original sentence.
আর সেই লক্ষ্য প্রাপ্তির জন্য আপনার শরীর, মন, বুদ্ধি ও সাহস নিয়ে পরিশ্রম কর... | Following this, if you have the courage to act on your dreams, and develop your will-power, mind, brain, body and time in that direction, then we are definitely on the right path. | 1 | NIv2 | task995_pib_translation_bengali_english | zs_opt | [
-0.35828539729118347,
0.7702745199203491,
0.23034431040287018,
-0.2371121197938919,
-0.4956302046775818,
-0.30650797486305237,
0.68535315990448,
-0.2683268189430237,
-0.05961804836988449,
-0.7512850761413574,
-0.5787445306777954,
0.20149078965187073,
-0.6475949883460999,
0.3708537817001343... |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 1
| 0 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.18505796790122986,
0.7616581916809082,
0.04015467315912247,
0.2912711501121521,
0.013827566057443619,
-0.9176784753799438,
0.5705775618553162,
0.7805210947990417,
0.3056783378124237,
-0.019703330472111702,
-1.0260615348815918,
0.15329205989837646,
-0.5485510230064392,
0.02953453175723552... |
Q: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Queen Gorgo of Sparta tells her men about the Battle of Marathon, in which King Darius of Persia was killed by Gene... | Answer: Xerxes' | 7 | NIv2 | task194_duorc_answer_generation | zs_opt | [
1.0098079442977905,
0.4596588611602783,
-0.7341516613960266,
-0.33641165494918823,
0.19810357689857483,
-0.768752932548523,
0.571679949760437,
0.5471426248550415,
0.14622339606285095,
0.6225133538246155,
-0.06979349255561829,
0.7165478467941284,
-0.5267436504364014,
-0.021119989454746246,
... |
Q: 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.
DNA replication fidelity is a key determinant of genome stability and is central to the evolution of species and to the origins of human diseases. Here we review our current u... | DNA replication fidelity | 7 | NIv2 | task1586_scifact_title_generation | zs_opt | [
-0.5198695659637451,
1.069451093673706,
-0.2971489727497101,
-0.4857962131500244,
-0.9020413160324097,
-0.3985790014266968,
0.77866530418396,
0.2854909896850586,
0.522495687007904,
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-0.5566896200180054,
0.5743762254714966,
-0.6881991028785706,
0.2224155068397522,
-0.... |
Teacher: 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.
Tea... | [113, 139, 69] | 2 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.1208367645740509,
-0.2100502848625183,
-0.4952567517757416,
-0.5774608254432678,
0.4754350781440735,
-0.5627989768981934,
0.6398467421531677,
0.45492053031921387,
-0.7170649766921997,
0.2555149495601654,
-0.4991203546524048,
0.052661918103694916,
-0.37605005502700806,
-0.909598827362060... |
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 connect with each other
****
| 4 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.3356637954711914,
0.6068548560142517,
-0.5261930823326111,
-0.5265535116195679,
0.08103477954864502,
0.008549118414521217,
0.7518647313117981,
0.7240455150604248,
0.16834165155887604,
-0.3693286180496216,
-0.4126875400543213,
-0.16860663890838623,
-0.41844022274017334,
-0.69133925437927... |
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".
Let me give you an example: She shone her light around the space, followin... | Past | 8 | NIv2 | task429_senteval_tense | fs_opt | [
-0.4349047541618347,
0.8852958679199219,
0.2756781280040741,
-0.2816954255104065,
0.13515599071979523,
0.004439420998096466,
0.6616562604904175,
0.9721578359603882,
0.41463541984558105,
0.02927558124065399,
-0.5130796432495117,
0.29159045219421387,
-0.8404305577278137,
-0.251422643661499,
... |
Teacher:Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence ... | Former research chimps to get new life at Georgia sanctuary. | 6 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
0.10783375799655914,
-0.05171453207731247,
-0.3282114863395691,
-0.260570764541626,
0.40817099809646606,
-0.4335533678531647,
-0.1700429767370224,
0.965408205986023,
-0.8140298128128052,
-0.051866475492715836,
-0.030781958252191544,
0.5548009872436523,
-0.8347136974334717,
0.09467060863971... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions shoul... | Question: What racist organization do we see on the rise in the second half of the film?, Answer: Ku Klux Klan
| 3 | NIv2 | task182_duorc_question_generation | fs_opt | [
1.1193302869796753,
0.6677310466766357,
-0.4568241536617279,
0.08960558474063873,
0.1802719682455063,
-0.37281113862991333,
0.7333182096481323,
0.6817815899848938,
-0.3188345432281494,
0.055025938898324966,
-0.12057812511920929,
0.7345389127731323,
-0.2827332019805908,
0.4160175621509552,
... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['6', '9', 'n', 'g', '4'], ['6', '9', 'n', 'g', '0'], ['6', '9', 'n', '4', '0'], ['6', '9', 'g', '4', '0'], ['6', 'n', 'g', '4', '0'], ['9', 'n', 'g', '4', '0']] | 9 | NIv2 | task208_combinations_of_list | fs_opt | [
0.10286599397659302,
0.12284980714321136,
-0.49433451890945435,
0.07077176868915558,
0.6399505138397217,
-0.737027645111084,
0.40339887142181396,
1.2503092288970947,
-0.44901007413864136,
0.19759434461593628,
-0.15359923243522644,
-0.05598194897174835,
-0.0807410255074501,
-0.3565309047698... |
Given the task definition and input, reply with output. In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose t... | REFERENCE airspeed | 5 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.41479817032814026,
0.8743625283241272,
-0.3832809329032898,
-0.9673044681549072,
0.22628723084926605,
-1.1782341003417969,
0.7280750274658203,
0.5509321689605713,
0.10505682229995728,
-0.04481475055217743,
-0.9038575887680054,
0.6287659406661987,
-0.6555607914924622,
0.07422368228435516... |
Teacher:Construct a question that every answer in the list is correct and reasonable for it.
Teacher: Now, understand the problem? Solve this instance: cold, doesn't taste good
Student: | name a reason you might send a bowl of soup back. | 6 | NIv2 | task821_protoqa_question_generation | zs_opt | [
0.12226125597953796,
0.5194756984710693,
0.3363057076931,
-0.8052579760551453,
0.4064277410507202,
-1.317340612411499,
-0.11751489341259003,
0.6074353456497192,
-0.2655971646308899,
-0.597538948059082,
0.43157416582107544,
-0.017907187342643738,
-0.7749140858650208,
-0.6355208158493042,
... |
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