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 |
|---|---|---|---|---|---|---|
Given the task definition and input, reply with output. In this task, you are given a sentence in Persian, and your task is to translate it into English.
من خیلی وقتها احساس میکنم کارم واقعا شبیه شلیک با کلاشینکف است!
| I chose Digital Kalaeshinkov as a name because I feel many times what I am doing is like shooting with a Kalashinkov. | 5 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-1.2446929216384888,
0.8624780774116516,
0.041602153331041336,
-0.1356687843799591,
-0.17493638396263123,
0.5419902801513672,
0.662935733795166,
0.32300063967704773,
0.9107298851013184,
-0.4236825108528137,
-0.17881977558135986,
0.3084089756011963,
-0.8830411434173584,
0.582482099533081,
... |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of ... | It is cold outside. | 7 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-1.0861027240753174,
0.6074368953704834,
0.3680321276187897,
-0.69108647108078,
0.011450523510575294,
-0.6283282041549683,
-0.1295277178287506,
0.6911354064941406,
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-0.5569678544998169,
-0.8190599679946899,
-0.6764324903488159,
-0.7884141206741333,
-0.10119380056858063... |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Good
****
| 4 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.3296222686767578,
0.24256989359855652,
0.048910193145275116,
-0.14135612547397614,
-0.40683430433273315,
-0.5631347298622131,
0.00470288610085845,
0.3610602617263794,
-0.15485680103302002,
0.3389531970024109,
-0.7807958126068115,
-0.51088547706604,
-0.4309239983558655,
-0.32996901869773... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
But the Scottish Social Attitudes survey also suggested the popularity of the European Union had fallen. The researchers said this suggested focusing... | Scottish independence support 'at highest ever level' | 0 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
0.5345699787139893,
0.7443109154701233,
-0.4356566071510315,
-0.25491422414779663,
0.7868812084197998,
-0.434680312871933,
0.4845272898674011,
0.31840619444847107,
-0.10395687818527222,
0.273338258266449,
0.2965865135192871,
1.234083890914917,
-0.5650305151939392,
0.043957360088825226,
-... |
instruction:
In this task, you need to Translate Czech text to English.
question:
Způsob náleží do oboru povrchových úprav kovů a řeší vytvoření povlaku na povrchu absorbéru slunečního kolektoru, který by měl dostatečnou protikorozní odolnost a současně zabezpečoval vysokou účinnost kolektoru. Podle vynálezu se to... | The arrangement comprises a rotary heat exchanger station (3) in which the flue gas (AG) of the boiler (1) is heated with brown coal, the heat obtained from the flue gas (AG) serves to temper the combustion air (VL) supplied to the boiler (1) . A heat exchanger unit (5) is arranged in parallel with the rotary heat exch... | 9 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
0.16566376388072968,
-0.03823944926261902,
-0.6775944232940674,
0.1319991648197174,
0.30757758021354675,
-0.7730226516723633,
0.4548453688621521,
0.8149650692939758,
-0.17966827750205994,
0.3683148920536041,
-0.015303919091820717,
0.218216672539711,
-0.2215195894241333,
0.41445255279541016... |
Instructions: In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
Input: how fast is one g, Answer: This acceleration experienced by an object is due to the vector sum of non-gravitational forces acting on an object free to move.
... | No | 3 | NIv2 | task1294_wiki_qa_answer_verification | zs_opt | [
-0.38322991132736206,
0.40916770696640015,
0.1523323655128479,
-0.7103579640388489,
0.22940969467163086,
-0.6561931371688843,
0.08865255117416382,
0.6902494430541992,
-0.006393134128302336,
-0.6289713978767395,
-0.7478192448616028,
-0.5558999180793762,
-0.4791281223297119,
-0.1663417965173... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have ... | Вы, скорее всего, заметите грызуна в унитазе. | 1 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.2911339998245239,
0.4582064747810364,
-0.00020371947903186083,
-0.14717799425125122,
-0.31345006823539734,
0.5718878507614136,
0.1973644495010376,
0.8717765808105469,
0.39496517181396484,
-0.24592472612857819,
-0.9291436672210693,
-0.27875030040740967,
-0.38679736852645874,
-0.017433982... |
Teacher:In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Teacher: Now, understand the problem? Solve this instance: [-53, -81, ... | [28, 57, 55, 147, 29] | 6 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.6599913835525513,
0.00038402099744416773,
-0.08305802941322327,
-0.45151782035827637,
-0.3313801884651184,
-0.35277828574180603,
1.0783867835998535,
0.4613080620765686,
0.3082367777824402,
-0.03573787584900856,
0.12200808525085449,
-0.5434873700141907,
-0.3378451466560364,
-0.0876594409... |
Teacher:In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Teacher: Now, understand the problem? Solve this instance: Questi... | Breast cancer is rare in teens. It becomes more common as women get older. | 6 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
-0.29027050733566284,
0.6129258871078491,
-0.3617614507675171,
-0.6797385811805725,
-0.03178582340478897,
-0.8079134225845337,
0.8585003614425659,
1.0216469764709473,
0.5164163112640381,
0.3476400673389435,
0.0662161260843277,
0.16346696019172668,
-0.12923675775527954,
-0.10950009524822235... |
Detailed Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger word... | Sentence 1: Although PersonX was a better English teacher than PersonY _ always questioned when to use a comma.
Sentence 2: Although PersonX was a better English teacher than PersonY _ never questioned when to use a comma. | 8 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.20488321781158447,
0.6990092992782593,
0.040737688541412354,
-0.5500304698944092,
0.26211199164390564,
-0.3235938251018524,
0.8419907093048096,
0.9634851217269897,
-0.13690981268882751,
-0.3915961980819702,
-0.22956612706184387,
0.2091175615787506,
-0.5278685688972473,
0.0577766783535480... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Spanish, generate a new Spanish 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 ... | Si quieres terminar el juego, entonces debes barrer el altar. | 1 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.34486058354377747,
0.6175541281700134,
-0.36298152804374695,
-0.14053522050380707,
0.1680714190006256,
-0.4583889842033386,
0.006032789126038551,
1.3787143230438232,
0.2019624412059784,
-0.5578293800354004,
-0.3598530888557434,
0.3046535849571228,
0.00767467450350523,
-0.512281477451324... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
既に多くの場合医師に直接見てもらう必要はありません
أصلا اليوم ، ليس عليك الذهاب إلى الطبيب في عدة حالات.
（ 笑 ） 『 ID 』の記事はグラフィックデザイナーのピーター・サヴィルからファッションデザイナーのアレキサンダー・マックイーンと写真家のニック・ナイトに渡った
(ضحك) فهذه المجلة ومن خلال مصصم الجرافيك بيتر سافيل توجهت ... | لذلك المرأة التي تريد أن تملك طفلا ذكيا ومضحكا وقويا ينبغي عليها أن تتاكد أنها مارست الكثير من الجنس مع شخص ذكي, وشخص مضحك وشخص قوي, لتحصل على جوهر كل من هؤلاء الرجال داخل طفلها, وحينما يولد الطفل, سيأتي هؤلاء الثلاثة رجال ويعترفون بأبوتهم على الطفل.
| 0 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
-0.8698970675468445,
-0.3081739842891693,
-0.12692517042160034,
-0.6134023666381836,
-0.5510514378547668,
0.29511162638664246,
0.8929250240325928,
-0.505468487739563,
0.6563535928726196,
-0.43469929695129395,
-0.8736076354980469,
0.23868538439273834,
-0.64879310131073,
0.4876970052719116,
... |
Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Example Input: Poster: There's a reason our state motto is "Agricultu... | Positive
| 3 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.5950441360473633,
0.23291000723838806,
0.04409053176641464,
0.4738662838935852,
0.1125144436955452,
-0.8655011057853699,
0.06896005570888519,
0.9002947211265564,
0.21481522917747498,
0.462890625,
-0.6505638360977173,
0.7244285345077515,
0.1944875866174698,
0.03289388120174408,
-0.1942... |
TASK DEFINITION: In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
PROBLEM: [-57.334, 24.995, 72.2... | 78.706
| 8 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.28762882947921753,
0.34177327156066895,
-1.124980092048645,
-1.243025302886963,
-0.12593436241149902,
0.5409880876541138,
0.7433767914772034,
0.1625102013349533,
-0.19255246222019196,
-0.2262216955423355,
-0.9958261847496033,
0.3557306230068207,
-0.871543824672699,
0.4177165627479553,
... |
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.
Input: Consider Input: Where does vanilla come from in the world?
Output: Which country is ... | Output: Who actually wrote the book art of the deal?
| 2 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.7654198408126831,
0.9287838935852051,
0.5281794667243958,
-0.3276599049568176,
-0.703182578086853,
0.8987625241279602,
0.063133604824543,
0.20834514498710632,
0.1913387030363083,
0.057111915200948715,
-0.2592196762561798,
0.43654361367225647,
-1.2309149503707886,
-0.3447651267051697,
... |
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Solution: È probabile che spazzi un topo in una tana abbandonata. | 5 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
-0.12839363515377045,
0.16265499591827393,
-0.16922211647033691,
0.6218502521514893,
-0.20372682809829712,
-0.7508294582366943,
0.5194410085678101,
1.3163914680480957,
-0.15217894315719604,
-0.2217269241809845,
-0.9573229551315308,
0.1413702517747879,
-0.17777204513549805,
0.09883922338485... |
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 | task1200_atomic_classification_xeffect | zs_opt | [
0.35557228326797485,
0.4083337187767029,
0.2968505620956421,
-0.38691088557243347,
-0.5437395572662354,
-1.1232880353927612,
1.2659200429916382,
0.2611828148365021,
-0.4777427911758423,
-0.466256707906723,
-0.4641525149345398,
-0.34206753969192505,
-0.6634312272071838,
0.25158125162124634,... |
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 religious on the top... | religious | 4 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | zs_opt | [
-0.5051271915435791,
0.33341601490974426,
0.5951072573661804,
-0.06988842785358429,
-0.5514487028121948,
-0.6282258033752441,
-0.00928826816380024,
0.2014876902103424,
-0.025493182241916656,
0.29609280824661255,
-0.7947673201560974,
-0.20628967881202698,
-0.15518444776535034,
-0.6333080530... |
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... | X, E, Z, p, w, S, N, B, Y, V, 1845, 2469, 3229, 7325, 6421, 2553, 8661, 533, 1169, 7013, 6453, 531 | 5 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
0.0776977613568306,
0.5534810423851013,
0.029771436005830765,
-0.1154264360666275,
-0.012023739516735077,
-0.5182102918624878,
0.6803383827209473,
0.1561407446861267,
-0.19772908091545105,
0.4046540856361389,
-0.5601083040237427,
0.2759075164794922,
-0.0815044566988945,
-0.3326947987079620... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
But Joshua the son of Nun, which standeth before thee, he shall go in thither: encourage him: for he shall cause Israel to inheri... | و اموریانی که در آن کوه ساکن بودندبه مقابله شما بیرون آمده، شما را تعاقب نمودند، بطوری که زنبورها میکنند و شما را از سعیر تاحرما شکست دادند. | 1 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-0.08306405693292618,
0.6705207228660583,
-0.6132578253746033,
-0.01104767620563507,
-0.6700606346130371,
0.5566662549972534,
1.0022714138031006,
0.600432276725769,
0.8516083359718323,
0.719485878944397,
-0.24396473169326782,
0.8213905096054077,
-0.4190773367881775,
-0.27967238426208496,
... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j... | 2591y9063wcD2133P1791665lwK80393943ui98612635
| 1 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.06619418412446976,
-0.08456026017665863,
-0.5362621545791626,
-0.04729351028800011,
-0.2765708863735199,
-0.3177728056907654,
0.6184279322624207,
0.23605811595916748,
-0.7561011910438538,
0.037058163434267044,
-0.8637703657150269,
0.12292265892028809,
0.2780684530735016,
-0.0173902362585... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | There is a man playing a sport. | 9 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.3298015892505646,
0.8187990188598633,
0.47919684648513794,
-0.5698951482772827,
0.12811100482940674,
-0.2197953462600708,
-0.43010881543159485,
0.7164153456687927,
0.2886331081390381,
-0.37814706563949585,
-1.0380054712295532,
-0.1450926810503006,
-0.5515553951263428,
-0.258388340473175... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Input: Il fatto che il mio colore preferito ora è il blu, ma sono sempre gay — (Risate) — è la prova dell'influenza e dei limiti di mia madre. (Risate)
Output: | 現在の私は青が好きですが相変わらずゲイですから ― （ 笑 ） これは母親の影響力とその限界を同時に証明している訳です （ 笑 ） | 2 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.6732827425003052,
0.4610002338886261,
-0.18870502710342407,
-0.3905271589756012,
-0.21420103311538696,
-0.4254912734031677,
-0.2804035544395447,
1.076568603515625,
0.33098194003105164,
-0.3608444333076477,
-0.7099751234054565,
0.23577715456485748,
-0.3387500047683716,
0.3932006061077118... |
Definition: 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
Input: “For God shows no partiality.”nRomans 2
Output: | Hope Speech | 2 | NIv2 | task679_hope_edi_english_text_classification | zs_opt | [
-0.017581487074494362,
0.019704818725585938,
0.6181260347366333,
0.11821681261062622,
-0.595061182975769,
-0.863419234752655,
0.13586199283599854,
0.6673935055732727,
0.0805155485868454,
0.13721734285354614,
-0.010004924610257149,
-0.12060043960809708,
-0.11148533225059509,
-0.104309260845... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
[Q]: aXjEmgxvNTPQOsALQXNCKRYK, opyxPlJDzYmgxvNTPQOshbAlqZu
[A]: a, b, d, g, h, j, l, m, n, o, p, q, s, t, u, v, x, y, z
[Q]: f... | e, g, h, i, k, m, n, o, r, s, t, y
| 5 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.18526695668697357,
1.1423933506011963,
0.03712473809719086,
-0.6088510751724243,
0.29337289929389954,
0.058109886944293976,
0.9121466279029846,
-0.09778828918933868,
-0.017497066408395767,
0.017125003039836884,
-0.8691351413726807,
-0.16168838739395142,
0.10281035304069519,
-0.366751253... |
In this task, you're given a statement, 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'.
Q: Context: In February 1933 he moved to HMS ... | Answer: 1904 | 4 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.6689687967300415,
0.4412439167499542,
0.19782279431819916,
-0.7915538549423218,
0.7358587980270386,
-0.5620209574699402,
0.3370286226272583,
-0.3310224711894989,
0.11041449755430222,
-0.03753058612346649,
0.3480958640575409,
0.0696994811296463,
-0.41285261511802673,
-0.39539632201194763... |
This task is to translate the English language Input to Telugu Language Output
Ex Input:
Telugu
Ex Output:
మూడ్ రత్నాలు
Ex Input:
"Best time I ever had!!!!"
Ex Output:
"నాకు లభించిన ఉత్తమ సమయం !!!!"
Ex Input:
Game Two heroes of Disney online
Ex Output:
| ఆట డిస్నీ యొక్క రెండు నాయకులు ఆన్లైన్
| 1 | NIv2 | task1616_cc_alligned_translate_eng_tel | fs_opt | [
-0.6688152551651001,
0.3413480818271637,
-0.055931735783815384,
0.28313571214675903,
-0.5496474504470825,
-0.15214556455612183,
0.447543740272522,
0.2628837525844574,
-0.31018805503845215,
-0.250699907541275,
-0.12596219778060913,
-0.041199758648872375,
-0.7619233727455139,
-0.291718870401... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transli... | बहुत सी फ़ाइलों का प्लेसहोल्डर, जीयूआई में नहीं | 0 | NIv2 | task877_kde4_translation | fs_opt | [
-0.7682580947875977,
0.0893930047750473,
0.42195335030555725,
-0.12984029948711395,
-0.07909192144870758,
-0.13797536492347717,
0.5635919570922852,
0.008577548898756504,
-0.2146419733762741,
-0.9458063244819641,
-0.6098437309265137,
0.12069771438837051,
-0.10298628360033035,
0.612615108489... |
Detailed Instructions: Given the sentence, generate "yes, and" response. "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..."). 1 In short, a "Yes, and... | Okay, well, I mean, he's a trusted brand name, and Twinkie is nothing to sneeze at. | 9 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.43217092752456665,
0.7142304182052612,
0.5823462009429932,
-0.1134449690580368,
0.4074894189834595,
-0.9452027082443237,
0.012376870959997177,
0.6428408622741699,
0.00889344047755003,
-0.5902227163314819,
-0.5462149977684021,
-0.22606348991394043,
-0.7395733594894409,
0.5876661539077759,... |
Detailed Instructions: 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
Q: Event:PersonX meets PersonY's de... | appeciative | 9 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.35574400424957275,
0.0029202045407146215,
0.059560805559158325,
-0.2973199784755707,
-0.259477436542511,
-0.8544297218322754,
0.6893198490142822,
0.20105832815170288,
0.022387050092220306,
-0.3090585470199585,
0.4735305905342102,
-0.12327700853347778,
-0.6184003353118896,
0.1210407689213... |
Part 1. Definition
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using p... | A mother sits next to her daughter. | 7 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
0.05182807892560959,
0.10845449566841125,
0.27977222204208374,
-0.2582222819328308,
0.4251743257045746,
-0.13115261495113373,
-0.22045889496803284,
0.7700732350349426,
0.3078024387359619,
-0.06517249345779419,
-0.6233120560646057,
-0.38121497631073,
-0.7379763722419739,
-0.3480917811393738... |
Instructions: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mi... | Microwave a glass of milk, pour milk out, then place glass on top of butter. | 3 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.13450020551681519,
1.2543141841888428,
-0.5500567555427551,
0.205094575881958,
-0.39992812275886536,
-0.3972557783126831,
0.37512868642807007,
0.5481224656105042,
0.18988478183746338,
0.20163747668266296,
-0.33854982256889343,
0.12901802361011505,
-0.10278171300888062,
-0.462017297744751... |
Detailed Instructions: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Q: Gujarati: ઘણા લોકો અને બરફીલા પર્વત તળિયે સ્નોબોર્ડસ
English:... | No | 9 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-0.6425754427909851,
0.6425701379776001,
-0.2964039146900177,
0.07978284358978271,
-0.1010546013712883,
-1.0899699926376343,
0.5599766969680786,
0.058549463748931885,
0.08891397714614868,
-0.8618758916854858,
-0.3434474468231201,
0.5569536685943604,
-0.6636598110198975,
0.3290621042251587,... |
Instructions: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Cha... | Original | 3 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.8362463116645813,
1.001946210861206,
0.6319447755813599,
-0.42356640100479126,
-0.2580956220626831,
-0.10516898334026337,
0.06293079257011414,
0.7335910797119141,
0.06161494553089142,
-0.4503172039985657,
-0.34982216358184814,
-0.16411960124969482,
-0.9118166565895081,
-0.05114574357867... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
One example is below.
Q: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار ... | تعتبر الولادة ، وهي كذلك دائما ، حدثا نفسيا هائلا. | 9 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.6694822907447815,
0.30401110649108887,
-0.6769590377807617,
-0.6017553806304932,
-0.14283475279808044,
-0.037248071283102036,
1.1950455904006958,
0.07308340072631836,
0.3639400601387024,
0.1025073379278183,
-0.7890228629112244,
0.36221471428871155,
-0.24125075340270996,
0.76234328746795... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
[EX Q]: این شکل خیابان در ۶ سال پیش است.
[EX A]: וככה זה נראה לפני שש שנים.
[EX Q]: به ما این امکان را می دهد که به حافظه دراز مدتمان دسترسی داشته باشیم و مقداری از آن را که احتیاج داریم بیرون بکشیم ، مخلوطش کنیم ، با توجه ب... | אלה השראות ראשונות לפרוייקט הזה.
| 6 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-0.38240915536880493,
0.845734179019928,
0.3469356894493103,
-0.16809049248695374,
-0.2954850494861603,
-0.05835816636681557,
0.746117353439331,
0.21087424457073212,
0.9002524614334106,
-0.5509419441223145,
-0.8760765194892883,
0.59526127576828,
-0.5437408089637756,
0.3520413637161255,
0... |
Detailed Instructions: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a mer... | yes | 8 | NIv2 | task472_haspart_classification | zs_opt | [
-0.942115306854248,
0.4414968490600586,
0.6565827131271362,
0.14318948984146118,
-0.27967625856399536,
-0.49380791187286377,
0.12176793813705444,
0.42743462324142456,
0.5427854061126709,
-0.6600902676582336,
-0.6676359176635742,
-0.07901108264923096,
-0.2507950961589813,
-0.001199933118186... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Problem: Person1: My eyes water continuously . Why ?
Person2: Perhaps because of the dirty ai... | 1 | 8 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
-0.11930689215660095,
1.2384167909622192,
-0.014773251488804817,
-0.981940507888794,
0.008856969885528088,
-0.6005065441131592,
0.28681421279907227,
0.2731308043003082,
0.07586435973644257,
-0.2947067618370056,
-0.2713041603565216,
-0.8368104696273804,
-0.7991045713424683,
-0.1052325367927... |
Given the task definition, example input & output, solve the new input case.
In this task, a passage will be given and the goal is to identify an event from the passage. An event is defined as a single word representing something that happened, is happening, or may happen. An event can be factual or hypothetical, posit... | been | 1 | NIv2 | task388_torque_token_classification | fs_opt | [
0.6463038325309753,
0.5139355659484863,
0.20593035221099854,
0.5560501217842102,
0.037199608981609344,
-0.11552996933460236,
-0.28285831212997437,
1.0632874965667725,
-0.11420807987451553,
0.09151870012283325,
-0.12756076455116272,
-0.20893594622612,
-0.03259386494755745,
-0.26568818092346... |
You will be given a definition of a task first, then some input of the task.
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 us... | Do cytokine mobilization of bone marrow cells and pancreatic lesion improve streptozotocin-induced diabetes in mice by transdifferentiation of bone marrow cells into insulin-producing cells? | 1 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.3934144973754883,
0.5033789873123169,
-0.6215898394584656,
-0.0737139955163002,
0.34396955370903015,
-0.8623991012573242,
-0.29611316323280334,
1.336049199104309,
0.6234793663024902,
0.0222255177795887,
-0.8589179515838623,
-0.15876126289367676,
-0.11585505306720734,
0.5332688093185425,
... |
Teacher: A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Union Minister of Agriculture and Farmers Welfare Shri... | இந்த சூழ்நிலையில் இருந்து ஏழைகளை வெளிக்கொண்டு வருவதற்கு, பிரதம மந்திரி ஆவாஸ் யோஜனா திட்டத்தின்கீழ், ஒவ்வொரு வீடற்ற ஏழைகளுக்கும் ஒருவீட்டை வழங்குவதற்கு முயற்சிகள் மேற்கொள்ளப்படுகின்றன. | 2 | NIv2 | task991_pib_translation_english_tamil | fs_opt | [
-0.2608448266983032,
0.10389220714569092,
-0.1524701714515686,
-0.04117351770401001,
0.27919891476631165,
-0.7505388259887695,
-0.16901472210884094,
0.08337707817554474,
-0.49998152256011963,
0.4629320800304413,
-0.18655920028686523,
0.27398377656936646,
0.301252156496048,
0.16628731787204... |
Given the task definition and input, reply with output. This task is about translating a given English language sentence to Spanish.
And so working in this kind of open way in an art practice you get to end up here, place where you never would have expected.
| De modo que al trabajar de esta forma abierta en prácticas artísticas uno termina en lugares que nunca habría esperado. | 5 | NIv2 | task1691_qed_amara_translation | zs_opt | [
-0.4997852146625519,
0.651671826839447,
-0.08945881575345993,
0.09845418483018875,
-0.04679267480969429,
-0.33584511280059814,
-0.5767754316329956,
0.8210132122039795,
0.43233901262283325,
-0.694752037525177,
-0.08182624727487564,
0.4759739637374878,
-0.2067602574825287,
0.0967583358287811... |
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
--------
Question: Láìpẹ́ yìí ni wọ́n gba Irina láày... | Yoruba
| 7 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | fs_opt | [
0.1839345544576645,
0.34720319509506226,
0.4284331202507019,
0.24882549047470093,
0.04586845636367798,
-0.6273162364959717,
-0.23947517573833466,
0.45269984006881714,
0.08803966641426086,
-0.44864845275878906,
-0.7081437110900879,
0.4712678790092468,
-0.6835335493087769,
-0.104670390486717... |
Given the task definition, example input & output, solve the new input case.
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: نئی دہلی،13۔اپریل ۔ صدر جمہوریہ جناب پرنب مکھرجی نے راشٹرپتی بھون می... | ગ્રાહક બાબતો, ખાદ્યાન્ન અને જાહેર વિતરણ મંત્રાલયનાં રાજ્ય મંત્રી | 1 | NIv2 | task1002_pib_translation_urdu_gujarati | fs_opt | [
-0.08302522450685501,
0.1946614682674408,
0.12760233879089355,
-0.257959246635437,
-0.6041077375411987,
0.003926372155547142,
0.1754559576511383,
-0.1459665298461914,
0.11726072430610657,
-0.33876967430114746,
-0.69437575340271,
0.38783010840415955,
-0.200785294175148,
0.2095431089401245,
... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Q: Professor: E então, já apanhaste a imagem de novo?
A: | Nauczyciel: Masz to z powrotem? | 9 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.31388115882873535,
0.7005656957626343,
0.26244068145751953,
-0.5362851619720459,
-0.2576996088027954,
-0.436811625957489,
0.3886025547981262,
0.3022024631500244,
0.4778135120868683,
-0.09681650251150131,
-0.2468504011631012,
0.1184394508600235,
-0.10232630372047424,
0.9008560180664062,
... |
Teacher: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 i... | ADP | 6 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.425204873085022,
0.05877288058400154,
-0.11785769462585449,
0.04439474269747734,
-0.1105668693780899,
-0.4361644387245178,
0.6842665076255798,
0.7244445085525513,
-0.4541080892086029,
-0.1543896198272705,
-0.5452684164047241,
0.1364065408706665,
-0.5445313453674316,
0.07583306729793549,
... |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that defin... | only { filter_eq { all_rows ; wood ; green } }
****
| 4 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.6256279349327087,
-0.02362027019262314,
-0.4798547029495239,
0.3987070918083191,
0.2393416315317154,
-0.6276699900627136,
0.49560976028442383,
0.4898603558540344,
0.22444412112236023,
-0.23183691501617432,
-0.26705706119537354,
-0.08071863651275635,
-0.1342298686504364,
0.428417086601257... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Q: Vexamos uns vídeos do que pasou cando probamos estes fármacos en vermes.
A: Veamos unos videos de lo que sucedió al probar estos fármacos en gusanos.
****
Q: Moitos de nós pensamos que a compaixón nos baleira, mais a... | Y pensé: "" ¿Qué estoy pensando?
****
| 4 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-1.0747418403625488,
0.8450022339820862,
-0.007070664782077074,
-0.8151233196258545,
-0.3354133367538452,
-1.3828489780426025,
1.0318546295166016,
1.135396957397461,
-0.13474175333976746,
-0.07955143600702286,
-0.22500157356262207,
0.4342426061630249,
-0.35827380418777466,
0.51344072818756... |
Definition: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Input: آن جماعت را روزگار به سر آمد؛ دستاورد آنان براى آنان و دستاورد شما براى شماست؛ و از آنچه آنان مىکردهاند، شما بازخواست نخواهید شد.
Output: | Those were the people, and they have passed away. Theirs the reward for what they did, as yours will be for what you do. You will not be questioned about their deeds. | 2 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.6472030282020569,
0.9001596570014954,
-0.4612640142440796,
-0.748623788356781,
-0.707925021648407,
0.3004280626773834,
0.9771161079406738,
0.47088906168937683,
0.4173140823841095,
0.28936392068862915,
-0.8564354181289673,
0.6144117116928101,
-0.5848840475082397,
0.3109273910522461,
0.... |
Q: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the deficatio... | unique | 7 | NIv2 | task212_logic2text_classification | zs_opt | [
0.2648140490055084,
-0.43316328525543213,
-0.3268740773200989,
0.36010903120040894,
0.3385782539844513,
-0.7175753712654114,
0.7465710639953613,
0.6901299953460693,
0.4892483949661255,
0.09990756213665009,
-0.054937705397605896,
0.18979623913764954,
0.01570298708975315,
0.5260148048400879,... |
You will be given a definition of a task first, then some input of the task.
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym... | basketball PartOf game | 1 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.5441002249717712,
0.8967808485031128,
-0.27775681018829346,
0.08288883417844772,
0.057289429008960724,
-0.14174899458885193,
1.1665141582489014,
0.07707476615905762,
0.38978761434555054,
-0.825485110282898,
-0.5924184322357178,
0.2876877188682556,
-0.7580134868621826,
-0.0815669968724250... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Q: Porque o motivo de reunificar a política e a economía é que, se non o facemos, a innovación tecnolóxica vai xerar unha caída enorme na demanda agregada, o que Larry Summers denomina como estancamento secular.
A: | لأن الهدف الأساسي من توحيد المجالين الإقتصادي والسياسي هو — إذا لم نفعل ذلك ، فبالتالي ستُحدِث الإبتكارات التكنولوجية تدني كبير في الطلب الكلي ، وهو ما يشير له لاري سمرز بالركود العلماني. | 4 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-1.247443675994873,
0.8247414827346802,
0.1686607003211975,
-0.6274468898773193,
-0.7949844598770142,
-0.7996582984924316,
-0.05566486716270447,
0.02921486273407936,
-0.14338606595993042,
0.4250295162200928,
-0.3009178042411804,
0.3474297523498535,
-0.1652882844209671,
0.32078421115875244,... |
Detailed Instructions: In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Problem:['367', '463', '229']
Solution: | 2, 3, 4, 6, 7, 9 | 8 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
0.015225364826619625,
0.09512201696634293,
-0.4992312788963318,
-0.8044570684432983,
-0.4443995952606201,
0.7059322595596313,
1.2945231199264526,
-0.40827274322509766,
-0.6891121864318848,
0.027301251888275146,
-0.47803494334220886,
-0.30729740858078003,
-0.6646894216537476,
-0.15159009397... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write ... | Her kids like(s) sledding >Motivates> Amy takes her kids sledding | 8 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.3863871097564697,
-0.1826801300048828,
-0.001301758922636509,
-0.140574112534523,
0.11397393047809601,
-1.1342850923538208,
0.2766609191894531,
0.6442726850509644,
0.0024915672838687897,
-0.1716725379228592,
-0.6857610940933228,
0.3513001799583435,
-0.7758440971374512,
-0.17161072790622... |
TASK DEFINITION: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way,... | insert a meat thermometer into the leg of the turkey and ensure it reads at least 180F.
| 8 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.6927741765975952,
0.02749042399227619,
-0.6217058300971985,
0.7276189923286438,
-0.078229159116745,
0.012764778919517994,
0.8869510889053345,
0.6969659924507141,
-1.093019962310791,
0.34422826766967773,
0.5133035778999329,
0.24454385042190552,
-0.4728735685348511,
0.327739953994751,
0.... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question having multiple possible answers in Italian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Cosa fare... | D | 1 | NIv2 | task1143_xcsr_it_commonsense_mc_classification | zs_opt | [
0.3549138605594635,
0.4372399151325226,
-0.7485313415527344,
0.3753945231437683,
-0.7770035266876221,
-0.14297494292259216,
1.0015897750854492,
0.7277051210403442,
-0.33009254932403564,
-0.4504053592681885,
-0.06792245805263519,
0.5824869275093079,
0.041656918823719025,
-0.2206342518329620... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Two dissenting judges of the five concluded that these dis... | पांच में से दो विवादास्पद न्यायाधीशों ने निष्कर्ष निकाला कि ये भेद असंवैधानिक हैं, लेकिन इसका सुधार सिद्धांत रूप से Diet की विधायी उपायों पर निर्भर करता है। | 2 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.10659231245517731,
0.0911855697631836,
0.4248889088630676,
0.10496508330106735,
0.06818197667598724,
-0.2160884141921997,
0.3906187415122986,
0.6080161929130554,
-0.32497429847717285,
-0.5351821184158325,
-0.592454731464386,
-0.5168894529342651,
-0.8462604880332947,
0.312206506729126,
... |
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 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 integ... | [23, -611, -43, 0, 117117, 1443, 21, 2303, 0, 1155] | 0 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.07157790660858154,
-0.24067991971969604,
-0.7557039260864258,
0.18007898330688477,
0.24081705510616302,
0.011615229770541191,
1.1541391611099243,
0.7515985369682312,
-0.5957488417625427,
-0.039979591965675354,
-1.1198354959487915,
-0.5416010618209839,
-0.056649960577487946,
-0.1726698577... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Problem:The test is believed to have been a reaction t... | माना जाता है कि यह परीक्षण इज़राइल और अमेरिकी सैन्य अभ्यासों की प्रतिक्रिया है, जिसे ईरानी सरकार ईरानी परमाणु विकास कार्यक्रम से संबंधित सुविधाओं पर हमले के लिए प्रशिक्षण मान रही थी। | 8 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.21864616870880127,
0.47070494294166565,
0.463448703289032,
-0.37417566776275635,
0.0612386055290699,
-0.06510651111602783,
0.9961987733840942,
0.8761422634124756,
0.36049893498420715,
-0.5723364949226379,
-0.933281421661377,
0.1592281013727188,
-0.9622249603271484,
-0.18983429670333862,... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
[EX Q]: Ma la risposta, ovviamente, era stata influenzata dal colore della pelle.
[EX A]: Respondían, como está claro, por el color de la piel.
[EX Q]: Tutto bene in un'esplosione teorica del telefono di un terrorista.
[E... | Ella está muy contenta con su ministra de energía que les dio electricidad a todos, está contenta por haberla votado.
| 6 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.5698747634887695,
0.6482036113739014,
-0.3962252736091614,
-0.4303906559944153,
-0.7936094999313354,
-1.165197491645813,
0.4179527759552002,
1.1709442138671875,
-0.11636793613433838,
-0.1799715757369995,
-0.5723228454589844,
0.9987459778785706,
-0.410528302192688,
0.22327634692192078,
... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Problem:A bathroom with orange post its everywhere, a bottle of liquor, book, shower and toilet.
Solution: | નારંગી સાથેનું બાથરૂમ તેના દરેક સ્થળે, દારૂની એક બોટલ, પુસ્તક, ફુવારો અને શૌચાલય. | 8 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
0.27491262555122375,
0.8612011075019836,
-0.10624151676893234,
-0.6355513334274292,
0.6117926239967346,
-0.9385195374488831,
-0.03495796024799347,
-0.44976547360420227,
0.0009191080462187529,
-0.5829991102218628,
0.07809554040431976,
-0.11278174817562103,
-0.9581111669540405,
0.06220577657... |
Teacher: In this task, you are given a tuple, comprising 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. Yo... | Yes | 2 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.6568454504013062,
-0.24795277416706085,
0.27329009771347046,
-0.06647210568189621,
-0.29079699516296387,
-1.1545424461364746,
1.0208840370178223,
0.7877557873725891,
-0.7870407104492188,
-0.24372345209121704,
-0.15903490781784058,
-0.4981403350830078,
-0.845925509929657,
-0.1614308059215... |
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... | Yes | 4 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.4788331985473633,
0.3719925880432129,
0.15847396850585938,
-0.016094276681542397,
-0.5974247455596924,
-1.0765489339828491,
1.1170486211776733,
0.626967191696167,
-0.7834663391113281,
-0.35791313648223877,
-0.4925154745578766,
-0.310932457447052,
-0.473889023065567,
0.24356570839881897,
... |
Teacher:In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Teacher: Now, understand the problem? Solve this instance: Question: They are secondary interoceptor mechanoreceptors:
Options: <1> The... | 3 | 6 | NIv2 | task1431_head_qa_answer_generation | zs_opt | [
-0.30139321088790894,
0.2621249556541443,
-0.13331961631774902,
0.09354261308908463,
-0.003085778094828129,
-0.0664343386888504,
0.7265312671661377,
0.3344699740409851,
0.17758816480636597,
-0.6437287330627441,
-0.31461572647094727,
-0.7495999336242676,
0.09383908659219742,
-0.032045494765... |
Q: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wh... | select the rows whose date record fuzzily matches to 19 november 1997 . take the score record of this row . select the rows whose date record fuzzily matches to 19 november 2003 . take the score record of this row . the first record is greater than the second record . the score record of the first row is 1 0 . the sco... | 7 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.20791329443454742,
-0.17904770374298096,
-0.37972292304039,
0.047817155718803406,
0.07450757920742035,
-0.6790734529495239,
0.42634475231170654,
0.5912559032440186,
0.019742609933018684,
-0.12366265058517456,
-0.5196409225463867,
0.24272340536117554,
0.11566954106092453,
0.56245088577270... |
TASK DEFINITION: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
PROBLEM: When didn't violence start in war no sorry when did it start?
SOLUTION: When did violence start in war?
PROBLEM: How is no why is the need for established sorry accept... | Who lives longer on average than Greeks and New Zealanders?
| 8 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
0.0962514579296112,
0.7591190338134766,
0.01448279619216919,
-0.43451249599456787,
-0.22881203889846802,
-0.1237206906080246,
1.1940194368362427,
0.40987199544906616,
0.6412281394004822,
0.06229441985487938,
0.13273650407791138,
-0.5897912383079529,
-1.4447839260101318,
0.24499258399009705... |
Detailed Instructions: 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 ... | What did Carolina Link get an Acadamy award for in the 20th century? | 4 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.5731238126754761,
0.8295297622680664,
-0.7965388298034668,
0.07718044519424438,
-0.18990182876586914,
-0.1260920912027359,
0.7717698216438293,
0.9850785732269287,
-0.08338585495948792,
0.19226254522800446,
-0.45707401633262634,
0.3096187710762024,
-1.012265682220459,
0.27208057045936584,... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Kan man inte direkt klassificera torven som en förnybar, icke-fossil energ... | State aid is not only counterproductive because, as the Jonckheer report acknowledges, it gives rise to subsidy hunting with firms relocating from one country to another, but it is unacceptable because it allocates public monies to the enrichment of a handful of private shareholders.
| 0 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.614126443862915,
0.9336103796958923,
0.21619868278503418,
-0.5415852069854736,
0.14851707220077515,
-0.7130293846130371,
0.48962852358818054,
1.3571834564208984,
0.08846741914749146,
0.26969248056411743,
-0.07479214668273926,
-0.12661223113536835,
-0.47978806495666504,
-0.54798805713653... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | recognizing a tort for the intentional spoliation of evidence
****
| 4 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.18038763105869293,
0.34588661789894104,
-0.22119355201721191,
0.09788526594638824,
0.4516991078853607,
-0.7144143581390381,
0.38722115755081177,
1.1570887565612793,
-0.4356430172920227,
-0.07225935161113739,
-0.6201134324073792,
0.4940229654312134,
0.3652225434780121,
-0.0436148792505264... |
Instructions: In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Input: Shall we head back to mine?
Output: | Y has just travelled from a different city to meet X. | 3 | NIv2 | task567_circa_text_generation | zs_opt | [
0.023694876581430435,
1.1029986143112183,
-0.5916750431060791,
0.4110299348831177,
-0.16411450505256653,
-0.07867405563592911,
-0.2902093529701233,
0.4324297606945038,
0.40207648277282715,
-0.1731971800327301,
-1.0572891235351562,
0.25563690066337585,
-0.6662260293960571,
0.470152467489242... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Input: Consider Input: English: The proposal for an amendment to this regulation on the application of the Protocol on the exces... | Output: No
| 2 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.4173591732978821,
0.4526805281639099,
0.20376789569854736,
0.20908254384994507,
0.4243719279766083,
-0.497249960899353,
0.87734454870224,
0.6803748607635498,
0.22325973212718964,
0.4053989052772522,
0.1375339925289154,
0.706539511680603,
-0.7108826637268066,
0.2409323900938034,
-0.6407... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
[EX Q]: Question: Who did Wendi Richter be... | In the 2010 season Frankel won the Royal Lodge Stakes and Group One Dewhurst Stakes
| 6 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
0.3114548325538635,
0.7268933057785034,
-0.7023009061813354,
-0.22375038266181946,
-0.057270146906375885,
-0.48821163177490234,
0.38222283124923706,
0.7891833782196045,
-0.458545982837677,
0.18524673581123352,
-0.10582403838634491,
0.8743466138839722,
-0.39776262640953064,
0.20046365261077... |
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 statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct op... | ಘಾನಾ | 0 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.2630707621574402,
0.1145872175693512,
-0.6431755423545837,
-0.5353965163230896,
-0.24391521513462067,
-0.24211499094963074,
0.22844260931015015,
0.728157639503479,
-0.08195826411247253,
-0.14755338430404663,
0.2671384811401367,
-0.4099545478820801,
-0.15614691376686096,
0.244233489036560... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | music | 4 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.3085097670555115,
0.7076278328895569,
-0.023183293640613556,
-0.2218434065580368,
0.40984082221984863,
0.003889171639457345,
-0.0909881740808487,
0.2636955976486206,
-0.1459438055753708,
0.009607156738638878,
-0.17441925406455994,
-0.03315877914428711,
-0.17186838388442993,
-0.436512410... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
One example: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్టి వింత
Solution... | Now, your passenger is not to have any whiskey, do you understand? | 6 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.39523476362228394,
1.1313345432281494,
0.35911279916763306,
0.1038515567779541,
0.002706531435251236,
-1.5586521625518799,
-0.1821899116039276,
0.08111285418272018,
-0.4314235746860504,
-0.39630967378616333,
-0.5558521747589111,
0.010184058919548988,
-0.8624835014343262,
-0.079378865659... |
This task is to translate a news commentary statement given in German language into Spanish 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.
Q: Erstens müssen Länder mit Leistungsbilanzübersch... | Primero, los países con superávits de cuenta corriente como Alemania, Japón y China deben reconocer que su propio crecimiento (y el de los demás) depende de reducir el desequilibrio global entre ahorro e inversión, lo que resultará en un achicamiento de los déficits externos en otras partes. | 4 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.9184775352478027,
0.7357836365699768,
-0.35385629534721375,
-0.4826190769672394,
0.06715622544288635,
0.5015681982040405,
0.7927781343460083,
0.7381905913352966,
0.08333846926689148,
-0.22586239874362946,
-0.24051128327846527,
0.2346225380897522,
-0.6846330761909485,
0.01587601192295551... |
Detailed Instructions: 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.
Q: 何名が飛行機に搭乗していたかは不明であるが、怪我人は報告されていない。
A: | ບໍ່ມີໃຜຮູ້ວ່າມີຈັກຄົນທີ່ຢູ່ໃນເຮືອບິນລຳດັ່ງກ່າວແຕ່ມີລາຍງານວ່າບໍ່ມີຜູ້ໄດ້ຮັບບາດເຈັບ. | 9 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
0.23901575803756714,
0.5236128568649292,
-0.4940592050552368,
-1.0859431028366089,
-0.09615178406238556,
-0.47416454553604126,
0.8927391767501831,
0.1992093026638031,
-0.25403985381126404,
-0.37732362747192383,
-0.49740293622016907,
0.18223249912261963,
-0.9921162128448486,
0.6322678327560... |
You will be given a definition of a task first, then some input of the task.
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.
OBJECTIVE To detect clustered regularly interspaced short palindromic repeats (CRISPR) in Shigella, ... | [Detection of CRISPR and its relationship to drug resistance in Shigella]. | 1 | NIv2 | task1586_scifact_title_generation | zs_opt | [
-0.45603829622268677,
0.7398736476898193,
-0.35803884267807007,
0.011555095203220844,
-0.4590512216091156,
-0.5442169904708862,
0.35523438453674316,
0.45056062936782837,
0.14008431136608124,
0.3168060779571533,
-0.41014108061790466,
0.5780119299888611,
-0.30202871561050415,
0.1901457309722... |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | no | 9 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.23592650890350342,
-0.06699711084365845,
-0.030649423599243164,
0.34917521476745605,
0.4632716178894043,
-0.7300950288772583,
0.8894225358963013,
0.9530272483825684,
0.023242464289069176,
-0.3046453297138214,
-0.19242845475673676,
0.02377166412770748,
-0.9595545530319214,
-0.04812685400... |
In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
Let me give you an example: Property tax -- Property tax or 'house tax' is a local tax on buildings, along with appurtenan... | will there be a season 3 of marseilles | 8 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
0.5466551184654236,
-0.009758190251886845,
-0.04466914013028145,
0.044026292860507965,
1.2992523908615112,
-0.31940528750419617,
1.3220102787017822,
1.453519344329834,
-0.24061745405197144,
0.4792957901954651,
-0.6227720975875854,
0.5697177648544312,
-0.785987377166748,
-0.1265711188316345... |
instruction:
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
question:
Is OTHER wrong in the post ? POST : First Y'all need a little bit of back st... | no
| 9 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.5747734904289246,
-0.22065706551074982,
-0.4269472360610962,
0.3222356140613556,
0.13319683074951172,
0.19898448884487152,
0.2324836403131485,
1.1468994617462158,
-0.0653717964887619,
-0.49978843331336975,
-0.02977018430829048,
0.7578696608543396,
-0.41537201404571533,
0.1013215705752372... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
[EX Q]: I remember one particularly low moment.
[EX A]: Lembro-me de um momento em que eu estava particularmente em baixo.
[EX Q]: So they have all of the information embedded in them of what was constructed.
[EX A]: Tê... | Para si, o sonho aqui então é que — Quero dizer, quem é o dono da eletricidade daqueles painéis a longo prazo?
| 6 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
0.06268171966075897,
0.9700302481651306,
0.16444426774978638,
-0.621616780757904,
-0.529060423374176,
-1.45674729347229,
0.6505481004714966,
1.2417354583740234,
0.10210242867469788,
-0.11623072624206543,
-0.1595374494791031,
0.7077081203460693,
-0.6801695823669434,
0.4800034165382385,
0.... |
In this task, you will be given a sentence in the Indonesian language(Bahasa variant). Your job is to convert it into the English language.
One example: Baru-baru ini beberapa kota busana telah diamanatkan sebagai indeks masa tubuh minimum untuk para model di landas pacu.
Solution is here: Recently some fashion capital... | "Michael is passionate about building opportunity for Ontario families and we're happy to have him on the team." | 6 | NIv2 | task543_alt_translation_bh_en | fs_opt | [
-0.9868108034133911,
0.49481910467147827,
0.23093077540397644,
-0.37876081466674805,
0.4709509015083313,
-0.5207644701004028,
0.3634952902793884,
-0.15324443578720093,
0.29885178804397583,
0.02403073012828827,
-0.4374232888221741,
0.14440220594406128,
-0.7487819790840149,
0.050414882600307... |
Definition: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not gen... | C | 2 | NIv2 | task309_race_answer_generation | zs_opt | [
0.5906386375427246,
0.31861019134521484,
-0.5706536173820496,
0.05061518773436546,
0.47685685753822327,
-0.16168034076690674,
0.8269311189651489,
0.06700122356414795,
0.3251086473464966,
0.010481803677976131,
-0.3181350827217102,
0.17527848482131958,
-0.10166718810796738,
-0.55668348073959... |
Teacher:In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" ... | Changed | 6 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.2160620242357254,
1.015944242477417,
0.48124605417251587,
-0.6770917773246765,
-0.3919232487678528,
-0.8001625537872314,
0.6495157480239868,
1.0577608346939087,
0.020821984857320786,
-0.22539103031158447,
-0.37922996282577515,
-0.575829029083252,
-0.6424670219421387,
0.00711118336766958... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
oIxnUToesaA
Output: | xnTs | 1 | NIv2 | task365_synthetic_remove_vowels | zs_opt | [
0.5384063720703125,
0.8417285680770874,
-0.1997932493686676,
-0.23457491397857666,
0.7149263620376587,
-0.7459205389022827,
0.6198039650917053,
0.6038457751274109,
0.2605692148208618,
-0.11015888303518295,
-0.1074294000864029,
-0.3918045163154602,
-0.06365208327770233,
-0.86664879322052,
... |
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
Q: [21, 63, 46, 2... | 171
****
| 4 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.30722999572753906,
0.5543138980865479,
0.3260541558265686,
-0.4543023705482483,
-0.4343665838241577,
-0.3373691439628601,
0.4990360736846924,
-0.03261135518550873,
0.43822285532951355,
-0.29621201753616333,
-0.3178321123123169,
0.05185043811798096,
-0.6340968608856201,
-0.15163268148899... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Q: Oh, I had no idea. Can yo... | assistant
****
| 4 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.7161790132522583,
0.573900043964386,
-0.2743743658065796,
-0.3796110451221466,
-0.24249742925167084,
0.1521410495042801,
0.6078243851661682,
-0.33654725551605225,
1.0556955337524414,
-0.5139932632446289,
-0.497685968875885,
-0.355110228061676,
-0.25172311067581177,
0.12335589528083801,
... |
You will be given a definition of a task first, then some input of the task.
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the pa... | French food group Danone said it would sue wholesale dairy exporter Fonterra and stop buying products from the New Zealand firm following a contamination scare that sparked the recall of infant milk formula across Asia. | 1 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.7125831842422485,
0.5182642340660095,
0.14387182891368866,
0.473511278629303,
0.3141704201698303,
0.3793809413909912,
0.17812195420265198,
1.587206244468689,
-0.2885627746582031,
0.2668650150299072,
0.3133544325828552,
0.8439891338348389,
-1.2367782592773438,
0.3979152739048004,
-0.294... |
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... | b | 4 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.40523773431777954,
0.4347493648529053,
-0.13931554555892944,
0.12852942943572998,
-0.10768245160579681,
0.12624329328536987,
0.8563816547393799,
0.6094993352890015,
0.2314879149198532,
0.24295130372047424,
-0.06243254989385605,
0.39555859565734863,
-1.1090149879455566,
-0.208891093730926... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: CONTEXT: William Dickson «W. D.» Boyc... | haber sido el fundador de los Boy Scouts de América | 6 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
0.29800036549568176,
-0.20877569913864136,
-0.21137306094169617,
0.01782771572470665,
0.39792466163635254,
-0.03589964285492897,
0.588341474533081,
1.0815759897232056,
0.19713109731674194,
0.11695919930934906,
-0.12177417427301407,
0.5238809585571289,
-0.42989879846572876,
0.07126922160387... |
Teacher: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 .
Teacher: Now, understand the problem? Solve this instance: Statement: फिरोज शाह के मृत्यु ने अराजकता और विघट... | फिरोजाबाद | 6 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.5051621198654175,
1.1776057481765747,
0.29414892196655273,
-0.7858797907829285,
0.11104830354452133,
0.47983288764953613,
-0.5389120578765869,
1.0553520917892456,
0.07399125397205353,
0.1347009241580963,
-0.18615782260894775,
-0.09754060953855515,
-0.45765745639801025,
-0.554935932159423... |
Teacher: You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Teacher: Now, understand the problem? If you are still confused, see the following example:
2019 Election update: Buhar... | Entertainment | 2 | NIv2 | task612_yorubabbc_classification | fs_opt | [
0.33304280042648315,
-0.09068994224071503,
0.2315644919872284,
0.48030683398246765,
-0.064478799700737,
-0.26102209091186523,
-0.5703036785125732,
0.14172881841659546,
0.08821521699428558,
0.167031928896904,
-0.1374398171901703,
-0.3450823128223419,
-0.7158929109573364,
-0.1167537346482276... |
Definition: 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 are plausible, pick the one that makes most sense.
Input: Beginnin... | 2 | 2 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.3132404386997223,
0.532960832118988,
0.37505587935447693,
-0.326369971036911,
-0.006792506203055382,
0.04621446505188942,
0.08469928801059723,
-0.06348463892936707,
0.47449028491973877,
-0.2850680649280548,
-0.5652406811714172,
0.03604265674948692,
-0.5357533693313599,
-0.16319453716278... |
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 will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 deci... | [0.148 0.852] | 0 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.3388577997684479,
0.6001946926116943,
-0.7528544664382935,
-0.6767067313194275,
0.20801252126693726,
0.23052199184894562,
0.6649524569511414,
0.27243801951408386,
0.338908314704895,
0.08777298778295517,
-0.5883508324623108,
0.108150415122509,
-0.06883945316076279,
-0.0528503954410553,
... |
Q: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
... | DET | 7 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.618727445602417,
0.16991141438484192,
-0.17142625153064728,
0.4275957942008972,
-0.1281190663576126,
-1.0200212001800537,
0.6767874956130981,
0.7907190918922424,
-0.23214998841285706,
0.03654137998819351,
-0.5358062982559204,
0.25517815351486206,
-0.739185631275177,
0.41949230432510376,
... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Example: 6, 14, ['9545', '5185', '166... | Solution: g, c, n | 5 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
0.3285030722618103,
0.052641890943050385,
-0.6718734502792358,
-0.13841739296913147,
-0.1289084553718567,
-0.09053891897201538,
0.7199419736862183,
0.07361352443695068,
-0.9368607997894287,
-0.04560232535004616,
-0.7933052778244019,
-0.05720536783337593,
0.10477080941200256,
0.179605588316... |
Detailed Instructions: Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Problem:Japanese: 報告によると、これはゼネラルマネジャーのブライアン・キャッシュマンが、今シーズンのここまでにひざ裏の腱のけがが驚くほど多いことを懸念し... | Yes | 8 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.32388073205947876,
-0.5549376010894775,
-0.4077523946762085,
-0.1762179732322693,
0.1781628578901291,
-0.6787903904914856,
0.3985331058502197,
0.6631693840026855,
-0.635880708694458,
-0.2518049478530884,
-0.4945588707923889,
0.6506749391555786,
-0.29558855295181274,
0.7848109006881714,
... |
Given the task definition and input, reply with output. In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphab... | DT | 5 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.7322618365287781,
0.280072957277298,
-0.3186205327510834,
0.8044857382774353,
0.053444139659404755,
-0.6134442090988159,
0.43934303522109985,
0.3308241069316864,
-0.593408465385437,
0.1850515604019165,
-0.3662026524543762,
0.15012916922569275,
-0.022325187921524048,
0.12309741973876953,
... |
instruction:
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
question:
Reviews: This came on a slow... | True
| 9 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.04753417521715164,
-0.13593700528144836,
-0.37785425782203674,
-0.33759284019470215,
-0.10552754253149033,
0.18497872352600098,
0.5835553407669067,
0.3882056474685669,
-0.6828986406326294,
0.2827482223510742,
-0.6353663206100464,
0.5849916338920593,
-0.03210543468594551,
0.1965379416942... |
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