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 |
|---|---|---|---|---|---|---|
Detailed Instructions: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or ... | Hate Speech | 4 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.36731410026550293,
0.11118011176586151,
0.5187453627586365,
0.30410104990005493,
-0.15173737704753876,
-1.0831395387649536,
0.08092819899320602,
0.7707834243774414,
0.25255078077316284,
0.41254374384880066,
-0.2897852063179016,
-0.2757561504840851,
-0.8871147632598877,
-0.97850567102432... |
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 presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely t... | Andrew Jackson | 0 | NIv2 | task339_record_answer_generation | fs_opt | [
-0.31870996952056885,
0.5493267774581909,
-0.5511086583137512,
0.5815726518630981,
-0.02556147612631321,
0.26173529028892517,
0.5585682392120361,
0.9216465353965759,
-0.3154703676700592,
0.6131344437599182,
0.05189722776412964,
0.8715088367462158,
-0.4369722306728363,
0.15829622745513916,
... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[EX Q]: [-352, -788, -731, 157, 390]
[EX A]: [-350, -790, -730, 160, 390]
[EX Q]: [893, 530, 25, -492, 946, 484, -277, -393, -101]
[EX A]: [... | [330, 280, 380, -730]
| 6 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-1.347520112991333,
0.6333709955215454,
-0.2372734695672989,
-0.15590062737464905,
-0.36051738262176514,
-0.3666360676288605,
0.5420733690261841,
-0.001480362843722105,
-0.402226060628891,
0.051338013261556625,
-0.6999284625053406,
0.4106884002685547,
-0.6551626324653625,
0.308247804641723... |
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
[EX Q]: Contex... | C
| 6 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.4063304364681244,
0.13258473575115204,
-0.44699445366859436,
0.34854257106781006,
-0.05942380800843239,
0.16177630424499512,
0.4205784797668457,
1.4902234077453613,
0.12394444644451141,
-0.12486549466848373,
-0.5861043930053711,
0.8127440214157104,
0.1701732575893402,
-0.2507346272468567... |
Instructions: In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even thoug... | CNN | 3 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
-0.055013976991176605,
0.3075506389141083,
-0.24549426138401031,
0.33529144525527954,
0.06368513405323029,
0.5118842124938965,
0.2026960849761963,
1.372127890586853,
-0.0009209304116666317,
0.7183259129524231,
-0.6343358755111694,
-0.16090215742588043,
-0.016427677124738693,
0.256509125232... |
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 research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is stil... | purpose | 1 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.6013692021369934,
0.3563297986984253,
-0.1710887849330902,
-0.4444682002067566,
0.14667192101478577,
0.1713486909866333,
0.29954853653907776,
0.4301055669784546,
0.5205085873603821,
0.029915546998381615,
-0.48182979226112366,
0.11883140355348587,
-0.1930369734764099,
0.08460551500320435... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Problem:E por essa razão, têm muita dificuldade com a linguagem.
Solution: | ולכן יש להם קושי רב עם שפה. | 8 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
0.19273929297924042,
1.0310009717941284,
0.26533347368240356,
-0.5710341930389404,
-0.30175653100013733,
-0.040319010615348816,
0.23481693863868713,
0.29235565662384033,
1.1150895357131958,
-0.677067756652832,
-0.7692721486091614,
-0.0925329327583313,
-0.4266817569732666,
-0.05978382378816... |
Detailed Instructions: In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Q: At the barbecue, the collard greens were less of a hit than the mashed potatoes. The _ must have been seasoned just right. (A) c... | B | 9 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
0.5480235815048218,
0.4118310213088989,
-0.7037228345870972,
-0.1530144214630127,
-0.5949530601501465,
-0.7426644563674927,
0.584609866142273,
1.0350112915039062,
0.10138710588216782,
0.435055673122406,
0.03891927748918533,
0.20646968483924866,
0.4115350842475891,
0.12489832937717438,
-0... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location ... | None | 1 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
-0.46468934416770935,
0.48555779457092285,
-0.10991832613945007,
0.07804103940725327,
-0.08577078580856323,
0.3385111391544342,
0.3395109176635742,
0.08097583055496216,
0.5829982757568359,
-0.8625973463058472,
-0.6066312789916992,
1.0672593116760254,
-0.19109565019607544,
-0.16775539517402... |
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person.... | Yes | 9 | NIv2 | task632_dbpedia_14_classification | fs_opt | [
-0.04982714354991913,
0.4840865731239319,
-0.032305628061294556,
0.11970938742160797,
0.5711780190467834,
-0.6448959112167358,
0.6413893699645996,
0.6308863162994385,
-0.6227632164955139,
0.5085335373878479,
0.4528038203716278,
0.2274063527584076,
-0.07027977705001831,
-0.2812163829803467,... |
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: CONCORD, MASSACHUSETTS – Stelt u zich voor dat actievoe... | CONCORD, MASSACHUSETTS – Imagine que um grupo de paladinos tentava alertar o público para um perigo que consideravam existir, embora as provas demonstrassem que o perigo não era real, e que ao propagar os seus receios, este grupo levava as pessoas a terem comportamentos que o colocavam a si e ao público em geral em ris... | 4 | NIv2 | task1375_newscomm_translation | zs_opt | [
0.14383120834827423,
0.37670794129371643,
-0.0706050768494606,
-0.47568416595458984,
-0.2946358323097229,
-0.195801243185997,
0.03423716127872467,
0.4055604040622711,
0.5671970844268799,
-0.2786460816860199,
-0.571278989315033,
0.31334447860717773,
-0.6586393117904663,
-0.13672026991844177... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option A | 6 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.301364004611969,
0.41365253925323486,
-0.2129916250705719,
0.12990838289260864,
0.23888009786605835,
0.25512534379959106,
0.18365736305713654,
0.9475368857383728,
-0.06366841495037079,
0.11225579679012299,
-0.9103613495826721,
0.37146711349487305,
-0.5710223913192749,
-0.6425766348838806... |
Given the task definition and input, reply with output. In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
[2, 1, 1, 0, 1, 3, ... | [2, 0, 6] | 5 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.47379112243652344,
1.0061936378479004,
0.07202979922294617,
-0.36055514216423035,
0.022329572588205338,
-0.5583717823028564,
0.8369358777999878,
0.08707547187805176,
-0.3065139353275299,
-0.015490885823965073,
-0.9906169176101685,
-0.022504406049847603,
-0.23541754484176636,
-0.13668560... |
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 an inner list you shoul... | [-45, 49, -47, 1519, -675, -115, 0, -651, -43, 2749635, -1161, -366275]
| 3 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.15276555716991425,
-0.11314965784549713,
-1.0478780269622803,
-0.04154220223426819,
0.07610256969928741,
-0.3596239387989044,
1.2719038724899292,
0.7922227382659912,
-0.5727224349975586,
-0.34206894040107727,
-0.9178289771080017,
-0.2721261978149414,
-0.36595314741134644,
-0.268162876367... |
Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
[Q]: Isang "Asian Security Source" ay nagsabi na ang mga misayl ay inilunsad sa direksyon ng Tsina na hindi sinasadya, at bumagsak sa loob ng han... | 非営利の癲癇財団によって開催されたインターネットフォーラムは、心ない破壊者の一団によって先週攻撃された。
| 5 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.3827696442604065,
-0.2959042489528656,
-0.3461639881134033,
-0.2922689914703369,
0.009163073264062405,
-0.6072433590888977,
0.8570692539215088,
0.19463258981704712,
0.258978009223938,
-0.2697386145591736,
-0.9147899746894836,
0.6416712999343872,
-0.7437076568603516,
0.39811596274375916,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Then, the camel stops and the woman gets down from the camel... | After, President Kennedy talks, then the crow start to run and shoot. | 0 | NIv2 | task455_swag_context_generation | fs_opt | [
0.07452484220266342,
0.7672630548477173,
-0.620657205581665,
-0.02830507792532444,
-0.2722115218639374,
-0.06836813688278198,
0.3572033643722534,
1.465166449546814,
0.6978139877319336,
-0.11244358122348785,
-1.0652072429656982,
-0.22698453068733215,
-0.30593425035476685,
0.1104502603411674... |
This task is to translate the Telugu Language Input to English Language Output
Example: నేను వీడియో చేస్తున్నాను
Example solution: I am making a video.
Example explanation: Both the sentences says the same meaning in different languages, so it is a correct translation.
Problem: తో RAM యొక్క 2GB మరియు ఒక వీడియో ప్రాసెస... | Solution: With 2GB of RAM and a video processor Intel HD Graphics, Yoga Pro Tab 3 has sufficient power for everyday use and for such a difficult devaysa as pico projector. No, of course occasionally retarding system, and once I took off from what that game, but these are isolated cases. | 5 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.10626178979873657,
0.015469281002879143,
-0.1593952178955078,
0.9008655548095703,
-0.2811307907104492,
-0.3182530403137207,
-0.8026976585388184,
1.2800666093826294,
-0.46074792742729187,
-0.1897677779197693,
0.548396110534668,
-0.06740304082632065,
0.00033445877488702536,
-0.41459977626... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
Example input: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example output: อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ของ... | การเสียชีวิตเกิดขึ้นในเมืองโทเลียรา และมีเหตุการณ์ที่คล้ายกันเกิดขึ้นในเมืองซาคาราฮาซึ่งอยู่ห่างออกไป 130 กิโลเมตร(80.8ไมล์) | 3 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
0.0601218044757843,
0.49295783042907715,
-0.7582544088363647,
0.3908308744430542,
-0.1296566128730774,
-0.8454580903053284,
0.005769528914242983,
0.2255306988954544,
-0.04533485323190689,
-0.2230427861213684,
-0.7042173147201538,
1.1580761671066284,
-0.4357728660106659,
0.8935253620147705,... |
In this task, you are given a sentence in the Hindi 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).
Q: क्रास्नेन्कोव ने कहा कि ओरलोव के शब्द चेचन्या को अस्थिर करने में मदद कर रह... | Krasnenkov said Orlov's words were helping destabilize Chechnya and told reporters that "Human rights defenders are miserable people." | 4 | NIv2 | task433_alt_hi_en_translation | zs_opt | [
0.13478514552116394,
0.6167895793914795,
0.7751341462135315,
-0.6198679208755493,
0.4637242257595062,
-0.5621026158332825,
0.5533424019813538,
-0.18656384944915771,
0.050624966621398926,
-0.5865068435668945,
-0.5096893310546875,
-0.43965116143226624,
-1.1822980642318726,
0.0087637975811958... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | Solution: [6, -16.5, -258, -114, -18.0, -20.5, -306] | 5 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.13190583884716034,
0.7023062705993652,
-0.3452163338661194,
0.0171506367623806,
0.15882255136966705,
-0.21695581078529358,
1.2208411693572998,
0.2166268229484558,
-0.2750447392463684,
0.1941966414451599,
-0.8952893614768982,
-0.38322776556015015,
-0.5990285873413086,
-0.2093250602483749... |
Detailed Instructions: Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expr... | Neutral | 8 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
-0.14253515005111694,
-0.3807066082954407,
0.16693967580795288,
0.004837191663682461,
-0.015592547133564949,
-0.6984224319458008,
1.0637590885162354,
0.8672544956207275,
0.1344062089920044,
0.520524799823761,
-0.24398496747016907,
0.7152688503265381,
-0.49889689683914185,
-0.34623983502388... |
Detailed Instructions: In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from ... | Quants anys era major Leonardo de Rafael? | 8 | NIv2 | task836_viquiquad_question_generation | zs_opt | [
0.5983755588531494,
0.9657871723175049,
-0.6898899078369141,
0.18301039934158325,
-0.6998456120491028,
-0.4261646270751953,
0.40654683113098145,
1.4846510887145996,
0.16747188568115234,
0.25294721126556396,
-0.20583119988441467,
0.39426255226135254,
-0.6604203581809998,
-0.0902939587831497... |
In this task, you are given a question. You have to answer the question based on your information.
Let me give you an example: Roman Yakub won first price in a Choral Composition Competition at a liberal arts college founded by who?
The answer to this example can be: William Egbert
Here is why: This is a good example,... | Gina Carano | 8 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.5643240213394165,
0.36767661571502686,
0.20823660492897034,
-0.7168902158737183,
0.25240588188171387,
0.5126186013221741,
0.8376917839050293,
-0.2945736050605774,
0.7595870494842529,
0.5083205103874207,
0.634559690952301,
0.7881640195846558,
-0.7730176448822021,
-0.5522857308387756,
0... |
Given the task definition and input, reply with output. The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Swedish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally writt... | Han svor åt oss på tyska (vilket jag anser vara ett utomordentligt väl lämpat språk för detta ändamål), hoppade runt och skakade sina knutna nävar, samt kallade oss för alla fula ord han kunde på engelska. | 5 | NIv2 | task1648_opus_books_en-sv_translation | zs_opt | [
-0.5209790468215942,
1.4910614490509033,
0.32822275161743164,
-0.5100679397583008,
-0.08495191484689713,
-0.2977093458175659,
1.1100174188613892,
-0.5252249836921692,
0.043469175696372986,
-0.39394211769104004,
0.33495354652404785,
1.1462533473968506,
-1.2414454221725464,
-0.27691981196403... |
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'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 t... | annoyed at the cyclist | 0 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
0.05277509242296219,
-0.19832782447338104,
0.23103195428848267,
-0.1490270048379898,
0.5159749984741211,
0.00588400661945343,
0.43319666385650635,
0.9127726554870605,
-0.2112899124622345,
-0.24750864505767822,
-0.10018830746412277,
-0.1351994127035141,
-0.3551483154296875,
-0.1857258677482... |
Teacher:A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: ਰਾਜਸਥਾਨ ਫੀਡਰ ਅਤੇ ਸਰਹਿੰਦ ਫੀਡਰ ਦੇ ਸੀਏ ਦੀ ਫੰਡਿੰਗ ਨਾਬਾਰਡ ਰਾਹੀਂ ਮੌਜੂਦਾ ਢਾਂਚੇ ਤਹਿਤ ਐੱਲਟੀਐੱ... | રાજસ્થાન ફીડર અને સરહિંદ ફીડર સીએ માટે આ ભંડોળ નાબાર્ડની વર્તમાન પદ્ધતિ હેઠળ PMKSY-AIBP પ્રોજેક્ટ LTIF હેઠળ પ્રાપ્ત થશે. | 6 | NIv2 | task1044_pib_translation_punjabi_gujarati | zs_opt | [
-0.207679882645607,
0.14395743608474731,
0.8547039031982422,
-0.590591549873352,
-0.372465044260025,
-0.5448015332221985,
0.3866296708583832,
-0.12885335087776184,
-0.46453002095222473,
-0.10326241701841354,
-0.4242560863494873,
-0.519001841545105,
-0.785627007484436,
0.05006898194551468,
... |
In this task, you need to reverse the order of words in the given sentence.
Example Input: Sentence: a motorcycle surrounded by people in a room
Example Output: room a in people by surrounded motorcycle a
Example Input: Sentence: two zebras standing together with trees in the background
Example Output: background the... | racquet tennis holding other each to next standing guys of couple a
| 3 | NIv2 | task376_reverse_order_of_words | fs_opt | [
0.623603105545044,
0.9127824306488037,
-0.7249637842178345,
-0.7730013132095337,
-0.10661423206329346,
-0.8362443447113037,
0.5862104296684265,
0.05353093892335892,
-0.06568453460931778,
-0.4048834443092346,
-1.163731336593628,
0.24441896378993988,
-0.09819144010543823,
-0.4806442260742187... |
Teacher:The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Teacher: Now, understand the problem? Solve this instance:... | to improve | 6 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.5129328966140747,
0.23779796063899994,
-0.004429735708981752,
-0.8643866777420044,
-0.5311473608016968,
-0.5438684225082397,
0.5623424053192139,
0.4506855010986328,
0.1113787442445755,
-0.2603653073310852,
-0.004869252443313599,
-0.21755748987197876,
-0.918868362903595,
-0.1964948475360... |
Teacher:In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Teacher: Now, understand the problem? Solve this instance: ACTION1: talking to a fre... | no | 6 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.29873329401016235,
-0.2753894329071045,
0.4120418429374695,
-0.15994012355804443,
-0.11029897630214691,
-0.8172231912612915,
-0.3684452772140503,
0.7101524472236633,
0.09105312824249268,
0.39569902420043945,
-0.1202135756611824,
-0.5728258490562439,
-0.8558046817779541,
-1.2682073116302... |
Detailed Instructions: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, find... | 4 | 8 | NIv2 | task835_mathdataset_answer_generation | zs_opt | [
-0.10544764995574951,
0.27096062898635864,
-0.3150869309902191,
-0.7766665816307068,
0.14211268723011017,
-0.005825758911669254,
1.114551305770874,
0.9983864426612854,
-0.08875502645969391,
-0.6847659349441528,
-0.6262749433517456,
0.2585500180721283,
-0.4814237654209137,
0.065200209617614... |
Given the task definition and input, reply with output. This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may invo... | ¿Cuál es la formación de relieve que ocupa gran parte del centro de la Península? | 5 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.2069493979215622,
0.46850982308387756,
0.039045676589012146,
-0.9019733667373657,
-0.10180094838142395,
-0.08731288462877274,
-0.17523729801177979,
1.3620901107788086,
0.1215168759226799,
-0.6992331147193909,
-0.5111017227172852,
0.38704556226730347,
-0.4540114402770996,
0.00888470094650... |
Instructions: 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 incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Input: Beg... | 2 | 3 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.10979227721691132,
0.872759222984314,
0.38836485147476196,
-0.31533241271972656,
-0.48196694254875183,
-0.23231425881385803,
0.44742536544799805,
1.04600989818573,
0.25319138169288635,
0.4147944450378418,
-0.8592304587364197,
-0.2602023482322693,
-0.44618672132492065,
-0.289517939090728... |
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.
पावसाचा एकेक थेंब, हे पाणी वाचवण्यासाठी तीन महिने मनरेगाच्या पैशांचे काम, त्यात... | अब मैं मेरे जनजातीय भाइयों को गांव के मेरे किसानों से आग्रह करता हूं कि अच्छी क्वालिटी का बाम्बू अपने खेत की मेढ़ पर, बाकी जो खेती करते हैं वो करते रहें हम, खेत के किनारे पर अगर हम बाम्बू लगा दें, दो साल में, तीन साल में वो कमाई करना शुरू कर देगा। | 1 | NIv2 | task1082_pib_translation_marathi_hindi | zs_opt | [
0.03969746083021164,
0.5706017017364502,
-0.38625186681747437,
0.1894455850124359,
0.4662507176399231,
-1.4921784400939941,
0.12518349289894104,
0.5053300857543945,
-0.487878680229187,
0.18722409009933472,
-0.4508644938468933,
-0.40107834339141846,
0.10935606062412262,
-0.23740020394325256... |
TASK DEFINITION: You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story t... | less.
| 8 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.40883034467697144,
0.6112514138221741,
-0.8162431716918945,
-0.43670910596847534,
0.5178450345993042,
-0.6761730909347534,
0.8791086673736572,
0.8494887351989746,
-0.07323132455348969,
0.27145227789878845,
-0.6131834983825684,
-0.22571411728858948,
-0.6474705934524536,
0.3659142255783081... |
Teacher: In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Teacher: Now, understand the problem? If you are still confused, see the following example:
A herd of sheep standing together grazing in a pasture.
Solution: ઘેટાંની ટોળાં એક ... | એક વિમાનના આંતરિક ભાગમાંથી વાદળો અને પાંખની ધાર જુઓ. | 2 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | fs_opt | [
-0.018007714301347733,
0.563250720500946,
0.2436540424823761,
-0.548725426197052,
0.2273966372013092,
-0.8088357448577881,
-0.46027305722236633,
0.608281135559082,
-0.5244942307472229,
-0.1262969970703125,
-0.6780915260314941,
-0.29913783073425293,
-0.433960497379303,
-0.19173602759838104,... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the numbers 0 (entailment), 1 (neutral), or 2(cont... | 0 | 9 | NIv2 | task1612_sick_label_classification | fs_opt | [
-0.12384889274835587,
0.7771123051643372,
0.15502040088176727,
-0.398172527551651,
0.09417775273323059,
-0.38312748074531555,
0.3197782635688782,
0.6591019630432129,
0.3677314519882202,
0.07906228303909302,
-0.19376978278160095,
-0.19634190201759338,
-0.39179933071136475,
-0.20541709661483... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | Solution: WRB | 5 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.33918797969818115,
0.5486704111099243,
-0.18250587582588196,
0.0826360285282135,
-0.05837760120630264,
-0.6539387702941895,
0.9049769639968872,
0.5840757489204407,
-0.5381385684013367,
0.36035269498825073,
-0.23246288299560547,
0.37448617815971375,
-0.22828714549541473,
0.111982256174087... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer ... | span | 0 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
1.0061060190200806,
0.2671454846858978,
-0.7208539247512817,
0.20729750394821167,
0.1347963511943817,
0.2615642249584198,
0.08989019691944122,
-0.4303669035434723,
-0.34099265933036804,
0.26531198620796204,
0.12369653582572937,
-0.45461514592170715,
-0.4988747239112854,
-0.2042280435562133... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same ... | 300. | 0 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.8022327423095703,
0.5540107488632202,
-0.29343414306640625,
-0.46709996461868286,
0.5320392847061157,
-0.9816169738769531,
1.0775411128997803,
0.6936004161834717,
0.06203038617968559,
-0.022356856614351273,
-0.06226830184459686,
0.34846916794776917,
-0.9729472398757935,
0.048617020249366... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Example: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Output: Pregunteille: ... | Tremoísta: Sorte | 1 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.7432229518890381,
0.9813671112060547,
0.20757359266281128,
-0.43302711844444275,
0.047724343836307526,
0.41131842136383057,
0.05519174784421921,
0.24187977612018585,
-0.6317172646522522,
-0.26824259757995605,
0.15949605405330658,
0.040313638746738434,
-0.2859235405921936,
-0.45943397283... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | Output: physical property
| 2 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.39857468008995056,
0.2080746442079544,
-0.4786358177661896,
0.4096824526786804,
0.428866982460022,
-0.5350109934806824,
-0.2211255580186844,
0.9524552822113037,
0.04767395928502083,
0.08230355381965637,
-0.29638680815696716,
-0.05748622119426727,
-0.36634159088134766,
-0.2329845428466797... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example solution: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្... | Solution: BBC News ក៏បាននិយាយថាលោកខូមេអ៊ិនិ បានបញ្ជាក់ថាសេដ្ឋកិច្ចរបស់អ៊ីរ៉ង់ "គឺកំពុងមានដំណើរការក្រោមកំរិតសូន្យ។" | 5 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
0.0069518862292170525,
0.616417407989502,
-0.6161617636680603,
0.3689570426940918,
-0.24619370698928833,
-0.24654871225357056,
0.4137783646583557,
0.44115716218948364,
-0.22993525862693787,
-0.6356725692749023,
-1.2091007232666016,
0.8655502796173096,
-0.8013955950737,
0.740047812461853,
... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Polish.
I'm really leaning into me, because I, because I have to think about what decisions I'm going to make on the fly as that Beethoven text is running in time through my head and I'm trying to figure out what kinds of transfo... | Odnoszę to do siebie, bo to ja muszę na bieżąco podejmować decyzje, mając wciąż w głowie tego Beethovena cały czas kombinuję, jak go przeobrazić. | 7 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
-0.2252788096666336,
1.0260159969329834,
-0.3570520877838135,
-0.09252262115478516,
-0.023795336484909058,
-1.3364195823669434,
0.9831925630569458,
0.007975317537784576,
0.7745562791824341,
-0.2297317385673523,
0.2855902910232544,
0.4567664861679077,
-0.6997933387756348,
0.0402891635894775... |
TASK DEFINITION: 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.
P... | B
| 8 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
-0.36256280541419983,
-0.1781865805387497,
-0.13244856894016266,
-0.03148001804947853,
0.19512850046157837,
0.05587657913565636,
0.5560907125473022,
0.9266570806503296,
-0.11517130583524704,
0.06329598277807236,
-0.3100135922431946,
0.26736706495285034,
-0.5147874355316162,
-0.407067000865... |
Detailed Instructions: 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... | Yes | 8 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.48255711793899536,
0.11646414548158646,
0.4302945137023926,
0.19212684035301208,
-0.8031420707702637,
-1.497073769569397,
0.5550855398178101,
0.5385701060295105,
-0.5817083716392517,
-0.11939872056245804,
-0.5443264245986938,
-0.7552106380462646,
-0.609794020652771,
0.0191199891269207,
... |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
પ્રધાનમંત્રી શ્રી મોદી સજવાલમાં ચેનાબ નદી પર 1640 મીટર લાંબા, ટૂ લેન ધરાવતા પુલનું શિલારોપણ કરશે... | சஜ்வாலில் ஜீனப் ஆற்றின் குறுக்கே 1640 மீட்டர் நீளத்திற்கு அமைக்கப்பட உள்ள இருவழி பாலத்திற்கும் பிரதமர் அடிக்கல் நாட்டவுள்ளார். | 5 | NIv2 | task1063_pib_translation_gujarati_tamil | zs_opt | [
-0.5591686367988586,
0.5092422962188721,
0.1488805115222931,
0.016580544412136078,
-0.025215819478034973,
-0.23130792379379272,
-0.32536780834198,
0.10914668440818787,
-0.6155152320861816,
-0.3924177885055542,
-0.04278818517923355,
0.5985063314437866,
-0.18785452842712402,
0.20915853977203... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
(笑) 中華街のESLクラスの「 It 's Raining, it' s Pouring 」も夜行電車のおじさんのいびきも逃さない | (Śmiech) Zdobędę głos uczniów na kursie języka angielskiego w dzielnicy Chinatown, recytujących rymowankę 'It' s Raining, It 's Pouring'. "" Wsadzę przedrzeźniacza do pociągu nocnego po to, żeby zdobyć dźwięk chrapiącego starca. | 0 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.5200722217559814,
0.18406635522842407,
0.08821769803762436,
-0.5048179626464844,
-0.149874746799469,
-0.44965317845344543,
0.43045133352279663,
-0.12286622822284698,
-0.16122744977474213,
-0.4888453483581543,
-0.049852386116981506,
0.3076574206352234,
-0.2862464189529419,
-0.05184985697... |
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate... | C
| 0 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
0.44448328018188477,
0.15421366691589355,
0.3174641728401184,
-0.5957611799240112,
0.7904823422431946,
-0.2827712893486023,
0.7993792295455933,
0.7432679533958435,
-0.15991556644439697,
-0.02423357404768467,
0.3822314739227295,
-0.04140741378068924,
0.009300998412072659,
-0.219472676515579... |
You are given a background paragraph that describes one or more causal or physical relationships, such as a relationship in economics, scientific law, or nature. You need to come up with a fictional story that makes use of the concepts or the relationship described in the provided paragraph. Make sure that your story ... | Archaeologists studied data about human settlements. One was 100,000 years old called village R, and the other one was about 9,000 years old called village N. The older settlement was located in Africa, the other one wasn't. | 0 | NIv2 | task059_ropes_story_generation | zs_opt | [
0.6097675561904907,
-0.03450630605220795,
-0.1620597541332245,
0.354038268327713,
-0.5923083424568176,
-0.8810792565345764,
0.23051416873931885,
0.5654850006103516,
-0.30975067615509033,
-0.02581683173775673,
-0.632813572883606,
0.011174515821039677,
-0.6830209493637085,
0.2255363762378692... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
One example: Afinal de contas elas é que decidem, e decidiram mesmo.
Solution is here: אחרי הכל, הם החליטו, והם עשו,
Explanation: The Portugese sentence is correctly translated into Hebrew, because the meaning is prese... | רק תראו את הניגוד. | 6 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
0.2466258555650711,
1.0908869504928589,
0.39498355984687805,
-0.00537154683843255,
-0.5424075126647949,
-0.3657180666923523,
0.7552775144577026,
0.6117215156555176,
0.7613767385482788,
-0.24484097957611084,
-0.5108159780502319,
0.39883577823638916,
-0.8922896385192871,
-0.1022738516330719,... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Problem:Sentence 1: But minut... | slate | 8 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.1446669101715088,
0.4727867841720581,
-0.16169258952140808,
-0.3361630439758301,
-0.022424781695008278,
0.19953200221061707,
-0.038078632205724716,
0.5632081031799316,
-0.08825113624334335,
-0.26296013593673706,
-0.428327739238739,
-0.06603796780109406,
-0.21076646447181702,
-0.50338917... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Input: Consider Input: claim: The drinking age should be lower... | Output: undermine
| 2 | NIv2 | task738_perspectrum_classification | fs_opt | [
-0.4517103135585785,
0.8722023963928223,
0.06551875174045563,
-0.2784932553768158,
-0.23443138599395752,
-0.49430033564567566,
0.6699439287185669,
0.8882777690887451,
0.4941776394844055,
0.5988037586212158,
-0.4240661561489105,
-0.6745385527610779,
-0.9947783946990967,
-0.2367003709077835,... |
TASK DEFINITION: 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 .
PROBLEM: Statement: राष्ट्र के लिए सम्मान के प्रतीक इस मंदिर को १९८३ से कंबोडिया के राष्ट्रध्वज में... | लाटविया
| 8 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
1.1276177167892456,
0.030591579154133797,
-0.35665056109428406,
-0.04448426142334938,
0.1772594302892685,
-0.7532085180282593,
0.25520461797714233,
0.5648533701896667,
-0.5483458042144775,
0.02213711477816105,
0.29599064588546753,
0.5127817988395691,
-0.4264034032821655,
-0.069717392325401... |
Teacher:Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Teacher: Now, und... | That's good to hear. I like making friends too! | 6 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.010596923530101776,
-0.08004595339298248,
0.1258998066186905,
0.07016094028949738,
-0.0676003247499466,
-0.3842248320579529,
0.8889757394790649,
0.54669588804245,
-0.25831568241119385,
-0.23990336060523987,
0.04191942885518074,
-0.025805748999118805,
-0.8995867967605591,
-0.244242638349... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Problem:Hai fermosura en calquera parte.
Solution: | 美は至るところで見つかるものです | 8 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.5390119552612305,
0.6428982615470886,
-0.036026377230882645,
-0.990985631942749,
-0.3651069104671478,
-0.9920183420181274,
0.43253839015960693,
-0.08776598423719406,
0.045597098767757416,
-0.5013099908828735,
-0.6644653677940369,
0.11587724089622498,
-0.7846063375473022,
0.6344801187515... |
Detailed Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
See one example below:
Problem: रोजगार कार्यालय जाओ.
Solution: Go to the employment office.
Explanation: The translation is correct
... | That's how you know a man. | 4 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
0.13462373614311218,
0.19298261404037476,
0.1379537135362625,
0.67030930519104,
0.06139054894447327,
-0.7925963401794434,
0.07491755485534668,
-0.13081935048103333,
-0.38313859701156616,
0.06856493651866913,
-0.2726479768753052,
-0.2735744118690491,
0.014412786811590195,
0.5152694582939148... |
Definition: 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.
Input: Category: emotional status
Words: mad, comfortable, fine, detached, dull
Output: | dull | 2 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.19394966959953308,
0.043098144233226776,
0.01957072503864765,
-0.6643426418304443,
0.05367719382047653,
0.0794253870844841,
0.6114089488983154,
-0.14182692766189575,
0.8583883047103882,
-0.3435404598712921,
-0.9280358552932739,
-0.14646905660629272,
-0.8537424802780151,
0.105609685182571... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | JJ | 8 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.5267138481140137,
1.0913704633712769,
-0.3934549391269684,
0.7571116089820862,
-0.13589328527450562,
-0.7475343942642212,
0.7102147340774536,
0.6578482389450073,
-0.07474502921104431,
0.16747094690799713,
-0.4382518231868744,
0.5085937976837158,
-0.24247759580612183,
-0.0972515344619751,... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Q: אז, קודם כל, זה יהיה נורא מעבר לכל דמיון.
A: | これは想像をこえる恐ろしいものになるでしょうこれは想像をこえる恐ろしいものになるでしょう | 9 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.49619531631469727,
0.497230589389801,
0.6334325075149536,
-0.263439416885376,
-0.5046451091766357,
-0.18029575049877167,
-0.09685967862606049,
0.06993518769741058,
0.8465396165847778,
-0.6673363447189331,
-0.7182999849319458,
-0.029880821704864502,
-0.537217378616333,
0.0105544114485383... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'man holding a sandwich above a basket of fries'. ... | holding a sandwich above a basket of fries | 1 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
0.2129228115081787,
0.1025211438536644,
-0.006399399600923061,
-0.6912078857421875,
0.18214160203933716,
-0.22317922115325928,
0.46668359637260437,
0.4224078357219696,
0.12603801488876343,
-0.3197067975997925,
-1.148858904838562,
-0.5892779231071472,
-0.6408337950706482,
-0.264827132225036... |
Teacher:In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Teacher: Now, understand the problem... | (B) | 6 | NIv2 | task302_record_classification | zs_opt | [
1.3077867031097412,
0.7793967127799988,
-0.648850679397583,
-0.8996490240097046,
0.033383578062057495,
-0.5312885046005249,
0.14403939247131348,
0.35798174142837524,
0.197252094745636,
0.23591220378875732,
0.3418978750705719,
0.7413369417190552,
0.35717156529426575,
-0.05884715914726257,
... |
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 | task1200_atomic_classification_xeffect | fs_opt | [
0.41821378469467163,
0.2399950921535492,
0.35563334822654724,
-0.18615427613258362,
-0.718697726726532,
-0.6793755292892456,
1.4301676750183105,
0.7850067615509033,
-0.29744693636894226,
-0.20616760849952698,
-0.7901902198791504,
-0.09649108350276947,
-0.9061286449432373,
-0.09265279769897... |
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: Who featured on the 2002 Eve hit Gangsta Lovin?
A: | alicia keys | 4 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.3908045291900635,
0.4386112689971924,
0.08587045222520828,
-0.06623592227697372,
-0.5429433584213257,
-0.08598864823579788,
0.49248743057250977,
0.06157165393233299,
-0.3724934756755829,
-0.14317041635513306,
-0.37595435976982117,
0.6606171131134033,
-0.8530583381652832,
0.19135162234306... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
[EX Q]: Title: Portfolio. Sentence 1: Kate was cleaning he... | One of the legs had a crack.
| 6 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.4215514659881592,
0.5278575420379639,
-1.014908790588379,
-0.18994645774364471,
0.1108505055308342,
-0.5863376259803772,
0.7715916633605957,
0.9209731221199036,
0.165548175573349,
0.13481998443603516,
-0.27877211570739746,
0.2719583213329315,
-0.2857501208782196,
-0.16104570031166077,
... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
Input: Consider Input: ingredients: '1 envelope savory herb soup mix', '1 c. water', '1 lb. boneless, skinless chicken breast, cut into thin strips', '2 c. assorted vegetables', 'hot cooked rice',<sep> directions... | Output: Christmas Morning French Bread
| 2 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.7576621770858765,
0.10837375372648239,
-0.6969863176345825,
0.5777084231376648,
0.42308932542800903,
-0.27890485525131226,
0.9716006517410278,
0.9966239929199219,
-0.0537753626704216,
-0.07938253879547119,
0.3913901448249817,
0.3697711229324341,
-0.13562503457069397,
0.5736829042434692,
... |
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Example: Passage: Martin Luther married Katharina von Bora, one of 12 nuns he had helped escape from the Nimbschen Cistercian convent in April 1523, w... | Solution: the Merkits | 5 | NIv2 | task1608_xquad_en_answer_generation | fs_opt | [
0.5742798447608948,
0.7047700881958008,
-0.8059091567993164,
0.5199804306030273,
-0.0803876593708992,
-0.41874849796295166,
-0.03519830480217934,
0.3967434763908386,
0.16150255501270294,
-0.3106665313243866,
-0.308416485786438,
0.5723342895507812,
-1.863990306854248,
0.06955555826425552,
... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Hindi, generate a new Hindi 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... | आप दीवार में एक बिजली सॉकेट खोजने के लिए विरल हैं. | 1 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.6034383177757263,
0.20003338158130646,
0.06578998267650604,
0.6210308074951172,
-0.13445378839969635,
-0.19082266092300415,
0.2188795506954193,
0.39458462595939636,
-0.29701781272888184,
-0.9913280010223389,
-0.9498888254165649,
-0.45770537853240967,
0.23117637634277344,
0.3866296410560... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
See one example below:
Problem: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Solution: خوب ، من چیزی ... | ما محتاج یک گفتگوی بزرگتر و بین المللی هستیم. | 4 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.2681581974029541,
0.5236803293228149,
-0.3973042666912079,
0.021664023399353027,
-0.34383058547973633,
-0.2617983818054199,
0.48929619789123535,
0.35537827014923096,
-0.5351545214653015,
-0.19128701090812683,
-0.6389096975326538,
0.42909470200538635,
-0.1882193237543106,
0.1020418256521... |
Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Q: 2018 Winter Olympics: Mike Pence tweets '#FAKENEWS' on report about skater Adam Rippon
At about the same time as Pence took to Twitter a W... | Mike Pence | 4 | NIv2 | task419_persent_answer_generation | zs_opt | [
0.1891069859266281,
-0.4325369596481323,
-0.44419607520103455,
0.8246679306030273,
0.6728781461715698,
-0.37856799364089966,
0.00590355833992362,
0.6241002082824707,
-0.00847876351326704,
-0.15638279914855957,
-0.5180823802947998,
1.059287667274475,
0.046067312359809875,
0.4340524673461914... |
Teacher:In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | False | 6 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.24677018821239471,
0.06148684024810791,
-0.3446560204029083,
0.49446558952331543,
-0.24847012758255005,
-0.7303389310836792,
1.1591154336929321,
0.5865350961685181,
-0.3364614248275757,
-0.01875103823840618,
-0.15384235978126526,
0.002679459284991026,
0.30025237798690796,
-0.29374900460... |
Instructions: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Input: What is a legal doctrine that obligates courts to follow historical cases when making a ruling on a similar case, Context: Federal law originates with the Constitution, which gi... | stare decisis | 3 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
-0.0049135624431073666,
-0.010398279875516891,
-0.10750371217727661,
-0.4702117145061493,
-0.3991345763206482,
-0.28729456663131714,
0.6627704501152039,
0.5929975509643555,
-0.0484825074672699,
-0.19951029121875763,
-0.8866523504257202,
-0.6770154237747192,
-0.6619406938552856,
0.478218793... |
Q: This task is to translate the Telugu Language Input to English Language Output
6x9inch 2-వే కోక్సియల్ కార్ స్పీకర్
A: | 6x9inch 2-way Coaxial Car Speaker | 7 | NIv2 | task1617_cc_alligned_translate_tel_eng | zs_opt | [
-0.5518300533294678,
0.13334372639656067,
0.9600464105606079,
0.011589156463742256,
-0.1768265813589096,
-0.38991403579711914,
-0.43863382935523987,
-0.43159961700439453,
-0.2900221049785614,
-0.30058595538139343,
0.573515772819519,
0.2951928973197937,
-0.7278029918670654,
0.24872435629367... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Polish.
See one example below:
Problem: It's sort of the biggest TiVo box you've ever seen.
Solution: To największa nagrywarka, jaką w życiu widzieliście.
Explanation: The English sentence is correctly transla... | Zrobiłam z niego ramę czasową na próbę przeczytania powieści, zbioru krótkich opowiadań lub wspomnień z każdego kraju na świecie. | 4 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
0.13399821519851685,
0.531397819519043,
0.36463525891304016,
0.3991912603378296,
0.5425615310668945,
-0.6269901990890503,
0.6794434785842896,
-0.8613040447235107,
-0.1580171436071396,
0.11816562712192535,
0.462259441614151,
0.45073819160461426,
-0.634731650352478,
0.5268828868865967,
-0.... |
Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not ref... | No | 9 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-0.8828675746917725,
0.1486969292163849,
0.6555614471435547,
0.4799746870994568,
0.39596498012542725,
-0.22318023443222046,
0.20211024582386017,
0.2817930579185486,
0.22570094466209412,
0.371084988117218,
0.3005205988883972,
-0.3410041332244873,
-0.5823843479156494,
-0.5400902032852173,
... |
Given the task definition and input, reply with output. In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Questio... | 1 | 5 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.6586405038833618,
0.12013477087020874,
-0.6932766437530518,
-0.5258573293685913,
0.7008317708969116,
0.34414732456207275,
0.9186041355133057,
0.919554591178894,
-0.7966873645782471,
0.5115476846694946,
-0.43052858114242554,
0.6943418383598328,
-0.6675163507461548,
-0.22653542459011078,
... |
instruction:
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
question:
През 2009 г. благодарение на единадесет нови партньорства за управление този подход ще стане още поефективен.
answer:
Eleven new management partnerships in ... | Proposal for a Council Regulation - Set-aside for year 2008 (C6-0302/2007)
| 9 | NIv2 | task271_europarl_translation | fs_opt | [
-0.7825113534927368,
1.3009376525878906,
0.1106548011302948,
0.14460095763206482,
-0.2765636444091797,
-0.7478842735290527,
0.6478525400161743,
0.929794192314148,
0.474594384431839,
0.013048509135842323,
-0.40195101499557495,
0.4275150001049042,
-0.3894180655479431,
-0.034799572080373764,
... |
Definition: 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 the proper one. Carefully read the given text... | AGE | 2 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
0.2718958854675293,
0.36040717363357544,
-0.6633622646331787,
-0.15788213908672333,
-0.46968579292297363,
-0.2102455496788025,
1.7523714303970337,
0.7164143323898315,
0.10213655233383179,
0.15585827827453613,
-0.430264949798584,
0.6322651505470276,
-0.7477387189865112,
0.05759843438863754,... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Problem:Comment: The Ottaw... | Non-threat | 8 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
0.553866982460022,
0.1799723505973816,
-0.16755187511444092,
-0.23302999138832092,
0.6992579102516174,
-0.3799811601638794,
0.49578791856765747,
1.6089869737625122,
-0.35379770398139954,
0.48034796118736267,
-0.4990226626396179,
0.564721405506134,
-0.20003458857536316,
0.13256925344467163,... |
Definition: Given an entity as input, output another entity which is part of the input entity. 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 meronym (i.e., output entity) is in a part-of relationship w... | glycerin | 2 | NIv2 | task471_haspart_answer_generation | zs_opt | [
-0.7211756110191345,
0.5404626727104187,
0.05449838936328888,
0.009434147737920284,
-0.43012917041778564,
-0.16175320744514465,
-0.5995654463768005,
0.20089317858219147,
0.561066746711731,
-0.7706117630004883,
-0.7170475721359253,
0.4991614818572998,
-0.026790577918291092,
-0.5708110928535... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Input: Consider Input: Muitas pessoas nesse contexto dizem: "" Vamos apostar no dólar. Vamos apostar em imóveis em Nova Iorque.
Output: يقول الكثير من الناس في هذا السياق ، "" فلنتعامل بالدولار ، فلنستثمر في سوق العق... | Output: لكن هناك شيئا واحدا قد قامو بمعالجته انه هناك العديد من المستاجرين.
| 2 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
-0.19510413706302643,
0.8143782019615173,
-0.21187621355056763,
-0.08566407859325409,
-0.11906944960355759,
0.42294222116470337,
0.2735493779182434,
0.764920175075531,
0.8706908822059631,
-0.13906696438789368,
-0.567145824432373,
0.13701534271240234,
-0.7556067109107971,
-0.431479126214981... |
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few ... | To keep her accountable and not quit. | 8 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.05468150973320007,
0.9189202785491943,
-0.2362399697303772,
0.4445968270301819,
-0.3422553837299347,
-0.013447321951389313,
0.6031718254089355,
0.21900330483913422,
-0.11092271655797958,
-0.7515020370483398,
0.15948936343193054,
0.28236818313598633,
-1.1360588073730469,
-0.00283027929253... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Q: می گویند اصل ازدواج برای اینه.
A: | ذلك حقاً الهدف من الزواج. | 4 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.5382347106933594,
1.4976122379302979,
0.11100964993238449,
-0.1365092545747757,
-0.6850203275680542,
0.7111616134643555,
0.8743195533752441,
0.7574530839920044,
0.5380901098251343,
-0.548165500164032,
-0.9076223373413086,
0.7238752841949463,
-0.2746775150299072,
0.3259364068508148,
0.... |
Detailed Instructions: A text is given in Marathi. Translate it from the Marathi language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: பருவநிலை மாற்றம் தொடர்பான பிரச்சினைகளும் இருக்கின்றன.
A: | ही आव्हान हवामानबदलाशी देखील संबंधित आहेत. | 9 | NIv2 | task1084_pib_translation_tamil_marathi | zs_opt | [
0.5963544845581055,
0.47766822576522827,
-0.0017041091341525316,
0.29779908061027527,
-0.43915262818336487,
-1.6711838245391846,
0.7288537621498108,
0.09566456824541092,
-0.4634803831577301,
-0.372490793466568,
-0.1596561074256897,
-0.33675646781921387,
-0.8504186272621155,
0.6587830781936... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Ex Input:
President Trump told "CBS Evening News" anchor Jeff Glor Wednesday it's "true" Russia meddled in the 2016 presidential election, and he "would" hold Russian President Vladimir Putin re... | Will outraged consumers convince Verizon to backtrack on its newest fee, just as they did with Bank of America? Perhaps: The New York Times notes that yesterday's announcement of the $2 fee, which will be levied against customers who make one-time bill payments using a credit or debit card over the phone or online, led... | 1 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.26157495379447937,
0.18695490062236786,
-0.1141824722290039,
-0.16293387115001678,
0.9268494844436646,
-0.18829426169395447,
1.0047568082809448,
0.838361382484436,
-0.2839077115058899,
0.35799640417099,
-0.08970537781715393,
0.6448451280593872,
-0.3682555556297302,
0.24375995993614197,
... |
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. You have to... | Yes
| 3 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.2081983983516693,
-0.16295476257801056,
0.1019962877035141,
-0.047113507986068726,
-0.22454483807086945,
-1.2867398262023926,
1.2593564987182617,
0.8372225761413574,
-0.4593104124069214,
-0.5496340990066528,
-0.4696260690689087,
0.11421100795269012,
-1.168252944946289,
0.2350211292505264... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
[Q]: ['3979', 'C'... | 3, 4, 5, 6, 8, 9, 13, 16
| 5 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.14201755821704865,
0.6634300351142883,
-0.5840196013450623,
-0.6184402704238892,
0.218743234872818,
0.000249374657869339,
0.5219627022743225,
0.14997953176498413,
-0.5972011685371399,
0.1555517315864563,
-0.5695635080337524,
-0.28810885548591614,
0.10000406205654144,
-0.0638858899474144... |
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 return one of the emotions which are expressed by the Character in the given sentence. For ... | knowledgeable
| 6 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
0.08819874376058578,
-0.20185163617134094,
-0.02953224629163742,
-0.6894339323043823,
0.021442685276269913,
0.26697221398353577,
1.0207384824752808,
1.2168138027191162,
0.1670018434524536,
-0.5037026405334473,
-0.13424594700336456,
-0.06600668281316757,
0.10952066630125046,
0.2336377501487... |
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: रामगढमधल्या महिला अभियांत्रिकी महाविद्यालयाच्या इमारतीचे उद्घाटन पंतप्रधान करतील.
A: | وزیراعظم رام گڑھ میں ویمن انجینئرنگ کالج بلڈنگ کا بھی افتتاح کریں گے۔ | 4 | NIv2 | task989_pib_translation_marathi_urdu | zs_opt | [
0.42511746287345886,
0.8323459029197693,
-0.14720134437084198,
-0.9036223888397217,
0.0009545311331748962,
-0.9994810819625854,
0.3162895441055298,
0.7331169247627258,
-0.20617711544036865,
0.0329338014125824,
-0.46554750204086304,
-0.1968250870704651,
-0.05301821231842041,
0.0646413341164... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
[EX Q]: Now Korah, the son of Izhar, the son of Kohath, the son of Levi, and Dathan and Abiram, the sons of Eliab, and On, the son of Peleth, sons of Reuben, took men:
[EX A]: این را بکنید که مجمرهابرای خود... | و به قبایل بنی مراری که از لاویان باقیمانده بودند، از سبط زبولون یقنعام را با نواحی آن و قرته را با نواحی آن.
| 6 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
0.34680014848709106,
0.8371627330780029,
-0.44119346141815186,
-0.47814345359802246,
-0.5731717348098755,
0.09017320722341537,
0.5608896017074585,
0.5153554677963257,
-0.23193594813346863,
0.14376318454742432,
-0.6052037477493286,
0.9971064329147339,
-0.5756828784942627,
-0.42263263463974,... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Example Input: Context: Kendall is a hard worker and contributed to their success.
Answer: successful
Example Output: How would Kenda... | How would Kendall feel afterwards?
| 3 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
-0.36995363235473633,
0.8360456228256226,
0.3651677370071411,
-0.6217564940452576,
0.15215779840946198,
-0.7418283820152283,
0.19155646860599518,
0.496831476688385,
0.22338324785232544,
0.055287882685661316,
-0.5842428207397461,
-0.03737884759902954,
-0.6918240785598755,
0.1576188355684280... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Non-obscene | 4 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.4002225697040558,
0.678810715675354,
0.7729015350341797,
-0.3509311079978943,
0.2796061038970947,
0.14815443754196167,
0.36143141984939575,
0.3606470823287964,
0.5071001052856445,
0.45843827724456787,
-0.0038498789072036743,
-0.02368786185979843,
-0.012241249904036522,
-0.40893393754959... |
Q: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
English sentence: Well in fact he had composed his first chess puzzle at age sixteen and it was the conventional type of chess puzzle "white to play and mate in two moves":
A: | Well sa katunayan siya ay binubuo ng kanyang unang chess-isip nang malalim sa edad na labing-anim at ito ay ang maginoo uri ng chess tuliruhin "white sa play at kasamahan sa loob ng dalawang inililipat": | 7 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.8906143307685852,
0.6459029912948608,
-0.5024932622909546,
-0.6284551620483398,
0.02948606014251709,
-0.19412383437156677,
0.8439204096794128,
0.5245773792266846,
0.3095036447048187,
-0.20362886786460876,
-0.023031823337078094,
0.7745762467384338,
-1.0363003015518188,
-0.6275696754455566... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
[Q]: سازمان ملل اخیرا اعلام کرده است که بحران سوریه با حدود ۵۰۰۰ نفری که در هر ماه کشته میشوند «به شدت در حال وخیم شدن» است.
[A]: The UN recently said that the Syrian conflict is “drastically deteriorating” with up to 5,... | 7 Clean your nose
| 5 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.2247057855129242,
0.8653048872947693,
-0.05253627151250839,
-0.3015478551387787,
-0.4545333683490753,
-0.5576585531234741,
-0.19786405563354492,
0.8830702900886536,
-0.4745829105377197,
0.9500447511672974,
-0.4337730407714844,
0.08222217857837677,
-0.1836746335029602,
0.4842128753662109... |
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... | No | 7 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.4285074472427368,
0.36828848719596863,
0.20606300234794617,
-0.029550548642873764,
-0.5516355037689209,
-0.996073842048645,
1.0650227069854736,
0.29610586166381836,
-0.5745044946670532,
-0.47492715716362,
-0.5548949837684631,
-0.35788267850875854,
-0.49379128217697144,
0.3283557295799255... |
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.
مذکورہ معاملے کی روشنی میں سڑک ٹرانسپورٹ اور شاہراہوں کی وزارت نے سنٹرل موٹر وہیکل 1989 کے ضابطہ 8 میں ترمیم کا عمل شروع کیا ہے اور اس سلسلے میں جلد ہی ا... | ઇસરો દ્વારા સંશોધન અને વિકાસ હાથ ધરીને વિકસાવવામાં આવેલા લોંચ વ્હિકલ્સ, ટેકનોલોજી ટ્રાન્સફર અને સ્પેસ પ્રોડક્ટ્સનું માર્કેટિંગ જેવા વાણિજ્યિક ઉત્પાદનોનો લાભ લેવામાં આવશે
| 0 | NIv2 | task1002_pib_translation_urdu_gujarati | fs_opt | [
-0.4897526502609253,
-0.1109919548034668,
0.05794578790664673,
-0.32185107469558716,
-0.44590234756469727,
-0.5198289155960083,
-0.3638734817504883,
0.24459758400917053,
-0.03935340791940689,
-0.2248644232749939,
-0.42144712805747986,
-0.04606788605451584,
-0.14286909997463226,
-0.22345416... |
Instructions: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: 兵士は銃弾を発射し、それは17歳の運転手を貫通し、少年を殺害した。
Output: | Tentara menembak, melewati pengemudi berusia 17 tahun dan membunuh anak laki-laki tersebut. | 3 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
0.038846004754304886,
0.5587224960327148,
-0.05549312382936478,
-0.8491510152816772,
-0.14840558171272278,
-0.8483295440673828,
0.22091829776763916,
0.11724317073822021,
0.3266236186027527,
0.027943715453147888,
-0.6552680134773254,
0.4939538538455963,
-0.9321156740188599,
0.29428505897521... |
Given the task definition and input, reply with output. In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
(A) not giving my co-worker a ride home and h... | B | 5 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.2461491823196411,
0.6585893630981445,
0.12804538011550903,
0.3419242203235626,
-0.8255887627601624,
0.0843353271484375,
-0.0011923941783607006,
0.5492876768112183,
0.526808500289917,
0.39061176776885986,
-0.3094214200973511,
0.3657509982585907,
0.4872598648071289,
-0.46220099925994873,
... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
English sentence: 28:31 “You shall make the robe of the ephod all of blue.
Output: | 28:31 At gagawin mo ang balabal ng epod na taganas na bughaw. | 1 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.1742495447397232,
0.5818026065826416,
-0.3382956087589264,
-0.13898801803588867,
0.30062752962112427,
-0.934635579586029,
0.2145676612854004,
0.5040490627288818,
0.052465274930000305,
0.3347233831882477,
-0.09230319410562515,
0.4703655540943146,
-0.0028316883835941553,
0.0293353050947189... |
You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Ex Input:
Statement: ਬਾਅਦ ਵਿੱਚ ਇਹ <MASK> ਦੇ ਜੇਹਲਮ ਜ਼ਿਲੇ ਵਿੱਚ ਵਗਦਾ ਹੈ। ਇੱਥੇ ਇਹ ਪੰਜਾਬ ਦੇ ਸਮਤਲ ਮੈਦਾਨ ਵਿੱਚ ਵਗਦਾ ਹੋਇਆ ... | ਮਹਾਰਾਸ਼ਟਰ
| 1 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.037240393459796906,
0.7589494585990906,
-0.2722581624984741,
-0.31957367062568665,
-0.1664080023765564,
-0.7280110120773315,
0.14604583382606506,
0.601393461227417,
-0.4766937494277954,
-0.19875039160251617,
-0.703779935836792,
0.029038596898317337,
-0.6084476709365845,
-0.01954964362084... |
Instructions: You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Input: How many pounds is in 12 grams ?
Of the following are simple sentences ?
Parts of a camera and its... | What skills are necessary to be a good supervisor ? | 3 | NIv2 | task675_google_wellformed_query_sentence_generation | zs_opt | [
-0.1322728991508484,
0.4900969862937927,
-0.6178538799285889,
-0.48526257276535034,
-0.2050999402999878,
0.14026907086372375,
0.2440333068370819,
-0.054627884179353714,
-0.45400190353393555,
-0.8738166093826294,
-0.45771703124046326,
-0.07573557645082474,
-0.3567069470882416,
0.36794877052... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.