inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
One example: ['238', 'h', '92', 'U', '2799']
Solution is here: 2
Explanation:... | 15 | 6 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
0.061737384647130966,
0.4474484324455261,
-0.22521525621414185,
-0.3256992995738983,
-0.006670170463621616,
-1.0019954442977905,
0.4232670068740845,
0.20925357937812805,
-0.8250788450241089,
0.24319905042648315,
-0.9835385680198669,
0.08843004703521729,
0.4590768814086914,
-0.1002768352627... |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Let me give you an example: Problem: a multiple choice test consists of 4 ... | a | 8 | NIv2 | task1678_mathqa_answer_selection | fs_opt | [
0.46504926681518555,
0.06829212605953217,
0.042061496526002884,
0.16459080576896667,
0.03386320173740387,
0.5629494190216064,
0.3237137198448181,
0.7384543418884277,
-0.3904353976249695,
-0.08550622314214706,
-0.7883938550949097,
0.039878662675619125,
0.35426074266433716,
0.038405604660511... |
Given the task definition, example input & output, solve the new input case.
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... | Sang-ayon sa orihinal na ulat ng Reuters, ang pangulo ng Venezuela na si Hugo Chavez ay pinapagalaw ang kanyang Rebulusyong Bolivarian upang isunulong ang pagsasabansa ng maraming pribadong mga kompanya at pagbubuklod laban sa kanyang mga kalaban. | 1 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
-0.22533336281776428,
0.4045235812664032,
-0.5112853050231934,
0.5295820236206055,
0.22808408737182617,
-0.02724485471844673,
0.4979776442050934,
0.9040390253067017,
-0.1776328980922699,
-0.5051970481872559,
-1.1659963130950928,
0.5451714992523193,
-0.02998727187514305,
0.26899591088294983... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned i... | In what year was the Archivist of the US hired?
| 6 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.1674441248178482,
0.15644758939743042,
-0.3227706253528595,
0.15473414957523346,
0.1552799791097641,
0.4579479694366455,
0.7586374878883362,
1.2008929252624512,
-0.3337123990058899,
-0.006433052942156792,
-0.4579947590827942,
-0.09741100668907166,
-0.6240997314453125,
0.18981896340847015... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
One example is below.
Q: Given Relationship: 'make', Sentence: 'Jenny made the announcement that her baby was an alien.'
A: made
Rationale: The output relationshi... | bombed | 9 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.20473110675811768,
1.7091050148010254,
-0.19996188580989838,
-0.10143595933914185,
-0.6744235157966614,
-0.5348538756370544,
0.2396649718284607,
0.6299670934677124,
-0.06529209017753601,
-0.360984742641449,
-0.33563879132270813,
0.7518161535263062,
-0.7417383193969727,
0.140958338975906... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words ar... | ['In', 'this', 'video', 'I', 'want', 'to', 'introduce', 'you', 'to', 'the', 'idea', 'of', 'a', 'geometric', 'sequence', 'geometric', 'sequence', 'and', 'I', 'have', 'a', 'ton', 'of', 'more', 'advanced', 'videos', 'on', 'the', 'topic,', 'but', "it's", 'really', 'a', 'good', 'place', 'to', 'start,', 'just', '', 'understa... | 4 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
0.36586910486221313,
0.08853543549776077,
-0.09475808590650558,
-0.1392684131860733,
0.6626608371734619,
-0.8703784942626953,
0.4369926452636719,
1.0077286958694458,
-0.6317729353904724,
-0.06181168183684349,
-0.1924438774585724,
0.23276031017303467,
-0.08908246457576752,
-0.09286316484212... |
Definition: This task is to translate a news commentary given in English language into French 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.
Input: Therefore, the 60th anniversary of the fir... | Ainsi, le 60ème anniversaire du bombardement de Dresde par les forces alliées le 13 février 1945 fut probablement un des moments les plus importants pour la « politique du souvenir » allemande que ne le sera le 60ème anniversaire du 8 mai 1945. | 2 | NIv2 | task1371_newscomm_translation | zs_opt | [
0.09633942693471909,
0.03474848344922066,
0.24392667412757874,
0.14294365048408508,
-0.011290892958641052,
-0.7505965232849121,
0.9610756039619446,
0.10916893184185028,
0.564813494682312,
0.04890251159667969,
-0.08214051276445389,
0.14640553295612335,
-0.1923495978116989,
0.725614607334137... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | 0
| 6 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.14590322971343994,
-0.07155285030603409,
-0.36792075634002686,
-0.2669365406036377,
-0.03910718113183975,
-0.3602457642555237,
0.20920570194721222,
0.4348996877670288,
-0.8156076073646545,
0.2459796816110611,
-0.9216067790985107,
0.5315353870391846,
0.14526981115341187,
0.15595112740993... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
One example: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
Solution is here: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده... | این منم که ابزار استاندارد تقویت حافظه رو پوشیدم | 6 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.1312631368637085,
0.7786142230033875,
0.20308302342891693,
0.06573604792356491,
-0.5145977139472961,
-0.23509164154529572,
1.7719169855117798,
-0.027640778571367264,
-0.011905813589692116,
-0.5581954121589661,
-1.0165859460830688,
1.0432710647583008,
-0.8194438815116882,
0.4358913898468... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: مرکزی کابینہ نے وزیراعظم جناب نریندر مودی کی صدارت میں نارکوٹک ڈرگس اور سائیکو ٹروپک اشیاء اور پیش کیمیکلز اور متعلقہ معاملوں میں منشی... | मंत्रिमंडल ने अन्य पिछड़े वर्गों के उप-श्रेणीकरण की समीक्षा आयोग के गठन को मंजूरी दी प्रधानमंत्री श्री नरेन्द्र मोदी की अध्यक्षता में आज केन्द्रीय मंत्रिमंडल की बैठक में अन्य पिछड़ी वर्गों के उप-श्रेणीकरण के मुद्दे पर संविधान के अनुच्छेद 340 के अन्तर्गत एक आयेाग के गठन के प्रस्ताव को मंजूरी प्रदान कर दी है। | 9 | NIv2 | task1054_pib_translation_urdu_hindi | zs_opt | [
0.04749675095081329,
-0.03741060197353363,
0.16974547505378723,
-0.4973754286766052,
-0.009568016976118088,
-0.9720702171325684,
1.2032310962677002,
0.3125283122062683,
-0.23707306385040283,
-0.0028901086188852787,
-0.3390997350215912,
-0.14281588792800903,
-0.002004581270739436,
0.2288718... |
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 though there exist ... | CNN | 8 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
-0.0018493006937205791,
0.8305769562721252,
-0.1146603673696518,
-0.09609154611825943,
0.1911434680223465,
-0.19666561484336853,
0.5204604864120483,
0.4151245653629303,
-0.13236163556575775,
0.7187491655349731,
0.08742743730545044,
0.7011111974716187,
-0.7506955862045288,
0.243697777390480... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Ex Input:
Sente... | circulatory
| 1 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
-0.12018220126628876,
0.8929590582847595,
0.04895252361893654,
-0.18115048110485077,
-0.1558556854724884,
-0.7327684760093689,
0.44854190945625305,
0.6945981979370117,
-0.05841035395860672,
-0.32455962896347046,
-0.7638389468193054,
-0.38986095786094666,
-0.8316071033477783,
0.146593242883... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Let me give you an example: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
The answer to this example can be: (Applause) However there is a political battle in our country.
Here is why: The Arabic sentence is correctly translat... | It's an index of large companies from developed markets across the world. | 8 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.1486760526895523,
1.0515947341918945,
0.6726734638214111,
-0.8206814527511597,
-0.28331258893013,
0.024703800678253174,
0.5189050436019897,
0.09324818849563599,
0.24805423617362976,
0.15621015429496765,
-0.7362525463104248,
0.3572264313697815,
-0.9125301837921143,
0.020214907824993134,
... |
Definition: 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.
Input: [265, 353, 559, -280, 277, 545, 481, 161]
Output: | [260, 350, 560, -280, 280, 540, 480, 160] | 2 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.39160579442977905,
0.5834876298904419,
-0.23896580934524536,
-0.04869086295366287,
-0.2999069094657898,
0.022251155227422714,
0.7093675136566162,
-0.1028587594628334,
-0.03811896592378616,
0.1550261229276657,
-0.9091625213623047,
0.19708669185638428,
-0.41196805238723755,
0.060717776417... |
Instructions: Construct a question that every answer in the list is correct and reasonable for it.
Input: tall, strong, ugly, big, terrifying, monstrous
Output: | give a word frankenstein would use to describe himself in a personal ad. | 3 | NIv2 | task821_protoqa_question_generation | zs_opt | [
-0.049720555543899536,
1.4045240879058838,
-0.01761997863650322,
-0.7850558757781982,
-0.3246629238128662,
-1.0523924827575684,
-0.06618655472993851,
-0.04244592785835266,
-0.21423140168190002,
0.10666218400001526,
-0.5907971262931824,
0.45976006984710693,
-0.5414848327636719,
-0.313052713... |
Translate the given Spanish text to English
Example input: A method for converting a series of m-bit information words to a modulated signal is described.
Example output: Se describe un método para convertir una serie de palabras de informacion de bits m a una señal modulada.
Example explanation: The translation is fl... | El material de matriz puede ser vidrio, sílices fusionadas o metal. | 3 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
0.07895113527774811,
0.43579185009002686,
-0.1356825828552246,
-0.04190309718251228,
0.23579324781894684,
-0.7991422414779663,
0.1316184252500534,
1.1636364459991455,
0.7448461055755615,
0.09751611948013306,
-0.24264295399188995,
0.26940423250198364,
0.3292762339115143,
0.11493781954050064... |
Definition: In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Tweet: La Selecta FUCKING WOOOONNNNNNN!!!! Hope ... | yes | 2 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-1.5788350105285645,
-0.07628138363361359,
-0.03974045440554619,
0.28726914525032043,
-0.2939015030860901,
-0.7634876370429993,
-0.13416633009910583,
0.4415099024772644,
0.2759760022163391,
-0.10841985046863556,
-0.7580879330635071,
0.24114631116390228,
0.12712466716766357,
-0.300195336341... |
Given the task definition and input, reply with output. You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Paragraph: In bigger atoms, valence electrons are farther from the nucleus.
Question: In science class... | bigger | 5 | NIv2 | task1731_quartz_question_answering | zs_opt | [
0.31204649806022644,
0.826870322227478,
-0.006360586266964674,
-0.06381472200155258,
-0.6598105430603027,
-0.8223021030426025,
0.5347028970718384,
0.43014806509017944,
0.055943019688129425,
-0.08384950459003448,
0.34345415234565735,
-0.14095063507556915,
-0.41238653659820557,
-0.1044632196... |
Teacher:A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: श्री राव एक महान विद्वान और अनुभवी प्रशासक थे और उन्होंने हमारे इतिहास के एक महत्वपूर्ण ... | വലിയൊരു പണ്ഡിതനും അനുഭവസമ്പന്നനായ ഭരണാധികാരിയുമായിരുന്ന അദ്ദേഹം നമ്മുടെ ചരിത്രത്തിലെ നിര്ണ്ണായകമായൊരു ഘട്ടത്തില്രാഷ്ട്രത്തെ നയിച്ചു. | 6 | NIv2 | task1017_pib_translation_hindi_malayalam | zs_opt | [
0.49094605445861816,
0.34988778829574585,
0.6102581024169922,
-0.661220908164978,
-0.5418715476989746,
-0.5270443558692932,
0.8503735065460205,
0.24068531394004822,
-0.14920610189437866,
-0.3188987076282501,
-0.6339551210403442,
0.09453225880861282,
-0.9425026178359985,
-0.0992621481418609... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
[Q]: Cosa farete da grandi? "" E mi ha detto: "Beh, servizi finanziari,"
[A]: بعد الحرب.. أين أكملت عملك ؟ فقال لي.. حسناً.. لقد انتقلت للعمل في المجال الاقتصادي
[Q]: Mi chiedo cosa succederà loro.
[A]: أتساءل ما الذي سيح... | شريحة وشاعر وفتى.
| 5 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.7089141011238098,
0.5051416158676147,
-0.31132641434669495,
-0.9854457974433899,
-1.1335253715515137,
-0.349887877702713,
0.4819831848144531,
0.6449492573738098,
0.4933628439903259,
-0.5989904403686523,
-0.40316998958587646,
0.4853716492652893,
-0.4537087678909302,
0.09600430727005005,
... |
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.
--------
Question: Sentence: 'a shelf on the wall with plants and decor under a clock'. Remove all words of length '2' in the given senten... | a young boy plays tennis a court
| 7 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
-0.09020783752202988,
0.496908962726593,
-0.6523345708847046,
-0.8940935134887695,
0.07627590000629425,
-0.8520194292068481,
-0.011730736121535301,
0.731149435043335,
-0.004294759128242731,
-0.33306872844696045,
-0.5397965908050537,
-0.2738499641418457,
-0.7662400603294373,
0.0002525692107... |
Q: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce th... | An ecosystem is an environment and all the members of that environment. | 7 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
-0.13496313989162445,
0.8701103329658508,
-0.6792715191841125,
-0.33468377590179443,
-0.5658245086669922,
-1.4223941564559937,
-0.4341621398925781,
1.142638087272644,
-0.26799941062927246,
-0.01900157891213894,
-1.0699162483215332,
0.9178831577301025,
-0.7949709892272949,
0.092870160937309... |
Given the task definition and input, reply with output. Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
I ship you guys please get back together
| not hate | 5 | NIv2 | task1604_ethos_text_classification | zs_opt | [
-0.7057657241821289,
0.7791247367858887,
0.1733471006155014,
0.1941186785697937,
-0.19989711046218872,
-0.39251261949539185,
0.4405212998390198,
0.00820240005850792,
0.15973010659217834,
0.5242316722869873,
0.06725460290908813,
0.547343909740448,
-0.23660269379615784,
-0.37083500623703003,... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length o... | O, o, 4905, 3841 | 1 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
-0.009880558587610722,
0.35923945903778076,
-0.8258216381072998,
-0.3945404291152954,
-0.23160803318023682,
0.08540862053632736,
0.4125952124595642,
0.3687041699886322,
-0.2083953320980072,
-0.02952258475124836,
-0.4749287962913513,
-0.22126053273677826,
0.34043461084365845,
0.000973157584... |
instruction:
A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
question:
2017. A Contempt petition has been filed in the High Courts of Meghalaya and Uttarakhand.
answer:
మేఘాలయ, ఉత్తరాఖండ్ హైకోర్టుల్లో ... | వ్యవస్థ లో మార్పు రావాలి అని నేను నమ్ముతున్నాను, అయితే అదే కాలం లో సామాజిక స్రవంతి లో కూడాను ఒక పరివర్తన చోటు చోసుకోవాలి.
| 9 | NIv2 | task1047_pib_translation_english_telugu | fs_opt | [
-0.5575308203697205,
0.15051576495170593,
-0.022377965971827507,
-0.09040046483278275,
0.7200886011123657,
-1.1354942321777344,
0.012251188978552818,
0.5871814489364624,
-0.43601953983306885,
0.29724112153053284,
0.033718887716531754,
-0.17356738448143005,
-0.44521304965019226,
0.303075700... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
[Q]: English sentence: cats and mice (spite and Malice) – a form of competitive tapeworm;
[A]: nwamba na ụmụ oke (n'agbanyeghị na Malice) - ụdị asọmpi asọmpi;
[Q]: English sentence: Signi... | 14 Ma ub͕u a Jehova ekwuwo, si, N'arọ atọ, dika arọ onye egoro ọlu, ka agēlelì nsọpuru Moab, ya na ìgwè madu-ya nile bara uba; ndi fọduru gādi kwa ntà nke-uku, nādighi ike.
| 5 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.014022480696439743,
0.5800164341926575,
-0.23552706837654114,
-0.5487812757492065,
0.3496761918067932,
-0.871680736541748,
0.011189097538590431,
-0.11286476254463196,
-0.3336477279663086,
-0.4354546368122101,
-0.3164045810699463,
0.5306015014648438,
-1.0207879543304443,
-0.4550533890724... |
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... | No
| 1 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.13448752462863922,
-0.025460215285420418,
0.15081623196601868,
0.3761554956436157,
-0.32432126998901367,
-1.2500863075256348,
1.3056766986846924,
0.46002981066703796,
-0.3899489641189575,
-0.4606364965438843,
-0.35268574953079224,
-0.08027148246765137,
-1.0951268672943115,
0.447286069393... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if... | yes | 1 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.603063702583313,
0.3593693971633911,
0.0033009047619998455,
0.0280800499022007,
0.3107280135154724,
-0.3204525113105774,
-0.8883113265037537,
0.7662307024002075,
-0.23674635589122772,
0.10241588205099106,
-0.3422703146934509,
0.23734575510025024,
0.20963703095912933,
-0.1095051467418670... |
TASK DEFINITION: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it sho... | Hateful
| 8 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.27516621351242065,
0.14953309297561646,
0.7737741470336914,
0.7052626609802246,
-0.37136125564575195,
-0.44894319772720337,
0.5956590175628662,
0.826597273349762,
0.47381705045700073,
0.22453390061855316,
-0.29348260164260864,
-0.2829688489437103,
-0.7534415125846863,
-0.294611752033233... |
Q: In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
['791', '877', '1867', 'O', 'R', '187', 'U', 'z', 't', 's', 'G', '8485', 'a', '9281', '9671', '4489', '2837', '7743', ... | O, R, U, z, t, s, G, a, n, S, d | 7 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.6105231046676636,
1.3199485540390015,
-0.3642676770687103,
-0.23484745621681213,
0.1481260061264038,
-0.767535924911499,
0.39375224709510803,
-0.7021430730819702,
0.04856805503368378,
0.18738225102424622,
-0.061071887612342834,
-0.2846556305885315,
0.38027817010879517,
0.115664541721344... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
Problem:06 मार्च, 2019
Solution: | March 06, 2019 | 8 | NIv2 | task1024_pib_translation_hindi_english | zs_opt | [
0.24812549352645874,
0.5044074058532715,
0.22534619271755219,
0.3346990942955017,
-0.2104448676109314,
-1.1856629848480225,
0.7271677851676941,
0.05212555080652237,
-0.4051380753517151,
-0.6901035308837891,
-0.41838186979293823,
-0.38782334327697754,
-0.554377555847168,
0.3965149521827698,... |
Detailed Instructions: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slat... | Y | 9 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.3750404119491577,
0.5976489782333374,
-0.25996533036231995,
-0.5856777429580688,
0.13891297578811646,
0.16258391737937927,
0.6404666900634766,
0.18064722418785095,
0.36464807391166687,
0.21418792009353638,
-0.25201350450515747,
0.05252484977245331,
-0.9253493547439575,
-0.01948682405054... |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
അടുത്ത അഞ്ച് വര്ഷങ്ങളെ 'പരിവര്ത്തനത്തിനായി പഠിപ്പിക്കാനും, ശാക്തീകരണത്തിനായുള്ള വിദ്യാഭ്യാസത്തിനും നയിക്കാനുള്ള അറിവിനുമായി നമുക്ക് മാറ്റാം', പ്രധ... | ਇਤਿਹਾਸ ਵਿੱਚ ਕਿਸੇ ਵੀ ਸਮੇਂ ਸਾਨੂੰ ਇੰਨੀਆਂ ਜ਼ਿਆਦਾ ਸੰਭਾਵਨਾਵਾਂ ਪ੍ਰਾਪਤ ਨਹੀਂ ਹੋਈਆਂ, ਜੋ ਅਵਸਰਾਂ ਅਤੇ ਖੁਸ਼ਹਾਲੀ ਨੂੰ ਲੱਖਾਂ ਲੋਕਾਂ ਦੇ ਜੀਵਨਕਾਲ ਵਿੱਚ ਇੱਕ ਵਾਸਤਵਿਕਤਾ ਬਣਾ ਦੇਣ।
| 0 | NIv2 | task1005_pib_translation_malayalam_punjabi | fs_opt | [
0.1050163209438324,
0.6073805689811707,
0.4622807502746582,
-0.5658375024795532,
0.0053120022639632225,
-1.047080636024475,
0.3380279839038849,
0.4176982641220093,
-0.13579611480236053,
-0.06893661618232727,
-0.5991611480712891,
-0.47732657194137573,
-0.42146772146224976,
0.115061566233634... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Q: ובכן, לורד מנספילד היה צריך לעשות החלטה במקום, מפני שאם ג 'יימס סומרסט היה דבר חוקי, הוא לא היה זכאי לצו של הביאס קורפוס, רק אם הוא היה אדם משפטי.
A: | マンスフィールド卿は直ちに決断を迫られましたなぜならジェームズ・サマーセットが法律上の物であれば彼は法律上の人のみに適用可能な人身保護令状の対象ではなくなるからです | 9 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-1.1286295652389526,
0.33729302883148193,
0.21772128343582153,
-0.6973661184310913,
-0.3900940716266632,
-0.6251293420791626,
-0.5058979988098145,
0.06215445697307587,
0.685970664024353,
-0.2593136429786682,
0.032064713537693024,
-0.0888727679848671,
-0.91058748960495,
-0.7681558132171631,... |
In this task, you will be shown a passage in Persian. You need to write a question in Persian for the passage. Your question should be answerable based on the passage and only have one correct answer.
تعدادی از عوامل بر سطح اسید معده، از جمله رژیم غذایی تاثیر می گذارد، بنابراین ممکن است لازم باشد تا یک رژیم غذایی کم س... | چه میوه های برای رفلاکس مفید است؟ | 0 | NIv2 | task468_parsinlu_rc_question_generation | zs_opt | [
-0.30521294474601746,
0.7774069905281067,
-0.4875214993953705,
-0.5401771664619446,
-0.6553648710250854,
0.23922199010849,
1.714578628540039,
0.5965578556060791,
0.22503584623336792,
-0.3777141571044922,
-0.5916731357574463,
-0.2939567565917969,
-1.5188084840774536,
0.7075962424278259,
0... |
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).
Example Input: मितेव ने हवाला दिया कि "पारिवारिक समस्याओं के कारण तनाव" पोपो... | Nearing the end of the second mark, Team New Zealand managed to overtake Alinghi to gain a 14 second lead.
| 3 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-0.06128311902284622,
0.06563448160886765,
0.3495995104312897,
-0.6333128213882446,
0.2690275311470032,
0.21197018027305603,
0.5420114994049072,
0.4274764955043793,
0.10126622021198273,
-0.5331661701202393,
-0.5886588096618652,
-0.10686786472797394,
-0.7441754341125488,
-0.0052478895522654... |
This task is about translating a given English language sentence to French.
We understood it so profoundly that a feeling of empathy was born. | les gens ont tellement senti, qu'il y a eu un sentiment de fraternité qui est né. | 0 | NIv2 | task1689_qed_amara_translation | zs_opt | [
0.7571953535079956,
0.7596068382263184,
0.655367374420166,
-0.2845337986946106,
-0.11768846213817596,
-1.4071335792541504,
0.8214918375015259,
-0.05988961458206177,
1.2261784076690674,
0.42955857515335083,
-0.07793895900249481,
0.009592761285603046,
-0.7638499140739441,
0.2405039519071579,... |
You will be given a definition of a task first, then some input of the task.
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some sugg... | What did Will and Skander end up doing after their encounter ? | 1 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.33478185534477234,
-0.1705884039402008,
0.2783772945404053,
-0.06274024397134781,
-0.15677517652511597,
0.32427549362182617,
0.48351970314979553,
0.6345664262771606,
-0.406997412443161,
0.4773424565792084,
-0.42891445755958557,
-0.5669469237327576,
0.18275055289268494,
-0.067679524421691... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
One example: Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?
Solution is here: Who did the Han Chinese want to help the Mongols fight?
Explanation: The input initiall... | Up until 1990, Saudi Arabia played an important role in restraining what groups? | 6 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.25592970848083496,
0.9140609502792358,
-0.08488650619983673,
-0.9796764850616455,
-0.5869482755661011,
-0.5948904752731323,
0.9447006583213806,
0.7964398264884949,
0.21092435717582703,
0.31252554059028625,
-0.5424971580505371,
-0.3450278639793396,
-0.9074535369873047,
-0.434135019779205... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
5, ['O', 'Y', 'u', 'a', '527', 'V', 'n', 'P', '3519', 'W', '8011', 'K', 't', 'm', '3747', 's', '3231', '8541'] | O, Y, u, a, 527, V, n, P, 3519, W, 8011, K, t | 0 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
0.48436349630355835,
0.2190050631761551,
-0.6382541656494141,
-0.11609074473381042,
-0.19506090879440308,
-0.17209649085998535,
0.4193801283836365,
-0.01563240773975849,
-0.07557057589292526,
-0.12534268200397491,
-0.9548560380935669,
-0.22792865335941315,
0.32741984724998474,
-0.048264820... |
Teacher:In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an eleme... | [-71, 176, 99, -116, 77, 173, 6, 94, 51] | 6 | NIv2 | task122_conala_list_index_addition | zs_opt | [
-0.20660199224948883,
0.05920913815498352,
-0.5562870502471924,
-1.0336799621582031,
-0.1558736264705658,
-0.06687185168266296,
0.7157512903213501,
0.8005949854850769,
0.01482498086988926,
0.317952036857605,
-0.3736608028411865,
-0.08342908322811127,
-0.02691769041121006,
-0.38785284757614... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[39, -3, 18... | [-66, -92, -86, 88]
| 0 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
-0.6097314357757568,
0.6222215890884399,
0.1727956235408783,
-0.8978967666625977,
-0.07405110448598862,
-0.24943828582763672,
0.9397261738777161,
0.34440892934799194,
0.15726442635059357,
0.34010839462280273,
-0.8160563707351685,
-0.10310477018356323,
-0.11756426095962524,
-0.4201449155807... |
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, pay specia... | Output: AGE
| 2 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.44151759147644043,
0.5005877017974854,
-0.4717828035354614,
0.25944751501083374,
-0.18837323784828186,
-0.38800644874572754,
0.937558650970459,
0.8512353897094727,
-0.5621874332427979,
0.13376501202583313,
0.0026984254363924265,
0.2957148253917694,
-0.6266380548477173,
-0.167290166020393... |
Definition: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable th... | acceptable | 2 | NIv2 | task616_cola_classification | zs_opt | [
-0.35675790905952454,
0.5084917545318604,
0.1878240704536438,
-0.7976456880569458,
-0.08095912635326385,
-0.6675457954406738,
0.4137619733810425,
-0.06007932126522064,
0.8383983969688416,
0.07403242588043213,
-0.8107113838195801,
-0.008195201866328716,
-0.3130357265472412,
0.14063286781311... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
[Q]: what do you call a fish with four ... | an APBT
| 5 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.32791799306869507,
0.9463656544685364,
-0.04497522860765457,
0.16871342062950134,
-0.6053400039672852,
-0.14971205592155457,
0.8315780162811279,
0.4220580756664276,
-0.08978823572397232,
-0.35080552101135254,
-0.44115492701530457,
0.2016426920890808,
-0.29322630167007446,
-0.08978278189... |
You will be given a definition of a task first, then some input of the task.
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
T... | True | 1 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
0.08526276051998138,
0.5598517656326294,
0.16728806495666504,
0.16546979546546936,
-0.09204170852899551,
-0.2966875433921814,
0.517166793346405,
0.5465129613876343,
0.18089443445205688,
0.22610190510749817,
0.1545361429452896,
0.3104838728904724,
-0.419194757938385,
-0.590665876865387,
0... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Input: It's a 28-page software patent, but I will summarize what it covers. Spoiler alert: Unlocking your phone by sliding an icon with your finger. (Laughter) I'm only exaggerating a little bit. It's a broad pat... | זהו פטנט על תוכנה בן 28 עמודים, אבל אני אסכם את מה שהוא מכסה. זהירות ספויילר: הוא פותח את נעילת הטלפון על ידי החלקה של אייקון. (צחוק) אני קצת מגזים. זהו פטנט רחב. | 2 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.9470916986465454,
0.2563313841819763,
-0.22051170468330383,
-0.6127290725708008,
-0.23383551836013794,
-0.6770584583282471,
-0.10693532228469849,
0.23898917436599731,
0.8579835891723633,
-0.2821188271045685,
-0.8439502120018005,
0.637352705001831,
-0.6066774129867554,
-0.276375979185104... |
Teacher: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Teacher: Now, understand the problem? If you are still confused, see t... | yes | 2 | NIv2 | task199_mnli_classification | fs_opt | [
-0.31341713666915894,
0.017175640910863876,
0.8482472896575928,
-0.2695062458515167,
0.26938679814338684,
-1.155604600906372,
-0.40161728858947754,
0.4153643548488617,
0.15517550706863403,
-0.325234591960907,
-0.2262383997440338,
-1.5009433031082153,
-0.028791196644306183,
-0.6203442811965... |
A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
He said India has never been an aggressor. | ভারত কখনও আগ্রাসী দেশ হয়ে ওঠেনি বলেও তিনি মন্তব্য করেন। | 0 | NIv2 | task996_pib_translation_english_bengali | zs_opt | [
0.24627479910850525,
0.8033027052879333,
0.1650504320859909,
-0.07839711010456085,
-0.038343653082847595,
-1.4583369493484497,
1.31998610496521,
-0.27041494846343994,
0.14066359400749207,
-0.6726784706115723,
-0.32028231024742126,
-0.20242702960968018,
-1.421260118484497,
0.237195074558258... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Q: ("" Para manternos competitivos no mercado actual, témome que imos ter que te remplazar por un calquera. "") ("" Vendín a miña alma por unha décima parte do que custa agora. "") É obvio que esta non é a maneira na que a ... | ("" امروزه براي اينكه در بازار رقابت باقي بمانيم ، متاسفانه بايد اعلام كنم كه مجبوريم شما را با يك شخص پليد جايگزين كنيم! "") ("" روحم را به ازاي يك دهم چيزهاي مضخرفي كه در حال اتفاق افتادن است فروختم. "") بديهي است كه اين طريقه اي نيست كه مردم بخواهند كارشان را انجام دهند. | 4 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-1.073219895362854,
1.5986756086349487,
0.14129097759723663,
-0.7125797271728516,
-0.6380722522735596,
-0.7262510061264038,
0.5494760870933533,
0.23714889585971832,
0.007368016056716442,
-0.21001994609832764,
-0.4150405526161194,
0.4637833535671234,
-1.054713487625122,
0.6279053688049316,
... |
Q: You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
I had no idea what this stuff was when it was served to me at a restaurant recently - and I could not stop eating it! Finally figured out it was Kalamata Olive... | Positive | 7 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
0.3081739544868469,
-0.40992075204849243,
-0.27438145875930786,
0.18859031796455383,
-0.045524485409259796,
-0.3603937029838562,
0.4375748634338379,
0.7606940865516663,
0.15934063494205475,
0.28743547201156616,
-0.047644179314374924,
0.06355006247758865,
-1.1461842060089111,
-0.36744856834... |
In this task, given a sentence in the English language, your task is to convert it into the Khmer language.
Q: In the email, the company's chief executive, Jeff Bezos apologised again, and described the earlier actions as "stupid, thoughtless and painfully out of line with our principles."
A: | នៅក្នុងសារអេឡិចត្រូនិចនោះ ប្រធានប្រតិបត្តិរបស់ក្រុមហ៊ុនគឺលោកជេហ្វ ប៊ីហ៊្សូស បានធ្វើការសុំទោសម្តងទៀត និងចាត់ទុកសកម្មភាពមុននេះថា "ឆ្កួត មិនបានគិតគូរ និងមិនស្របតាមគោលការណ៍របស់ខ្លួនយ៉ាងគួរឲ្យសោកស្តាយ។" | 4 | NIv2 | task555_alt_translation_en_kh | zs_opt | [
-0.41769614815711975,
-0.017534231767058372,
0.21354246139526367,
-1.0533663034439087,
-0.13790109753608704,
-0.7112617492675781,
0.8448941111564636,
-1.3736379146575928,
-0.02144697681069374,
0.2380707561969757,
-0.045099202543497086,
0.5380227565765381,
0.18204182386398315,
-0.6613047122... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Q: Person1: I'll help you , Lucy . Look at ... | 1 | 9 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
0.22998332977294922,
0.6440017223358154,
0.0002595346886664629,
-0.36762839555740356,
-0.13280467689037323,
-0.7466622591018677,
0.9888284206390381,
-0.11835750192403793,
0.21790526807308197,
-0.3812847435474396,
-0.6078119277954102,
-0.3111594319343567,
-0.24010014533996582,
0.04189178720... |
Teacher: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 t... | No | 6 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.342937171459198,
0.2649034857749939,
0.2804890275001526,
-0.23297083377838135,
-0.5619406700134277,
-0.587541937828064,
1.3066613674163818,
0.11897854506969452,
-0.4257066249847412,
-0.45424318313598633,
-0.6001843214035034,
-0.560830295085907,
-0.5268852710723877,
0.18540117144584656,
... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Input: Incluso considerando que o cerebro acadara o seu tamaño actual fai case 300 ou 400.000 anos, fai 100.000 anos todo isto ocorreu moi moi rápido.
Output: | למרות שהמוח האנושי הגיע לגודלו הנוכחי כמעט לפני 300,000 או 400,000 שנים, לפני 100,000 שנים כל זה קרה במהירות רבה מאוד. | 2 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.6382027864456177,
0.6115801334381104,
0.06968674063682556,
-0.941042959690094,
-0.4902464747428894,
-0.385364294052124,
0.2582710087299347,
-0.12920406460762024,
0.46340447664260864,
-0.3868369162082672,
-0.31785714626312256,
0.2083970159292221,
-0.8603747487068176,
0.5214594602584839,
... |
Definition: A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Input: તેમણે કેરળ સરકારને આયુષ્માન ભારતના અમલીકરણને વધુ ઝડપી બનાવવા વિનંતી કરી હતી જેથી કરીને કેરળના લોકોને લાભ મળે.
Output: | He urged the Government of Kerala to expedite the implementation of Ayushman Bharat scheme, so that the people of Kerala can be benefitted. | 2 | NIv2 | task1080_pib_translation_gujarati_english | zs_opt | [
-0.3241555094718933,
0.5841290950775146,
0.06319798529148102,
-0.03192347660660744,
-0.533330500125885,
-0.786297082901001,
0.8563903570175171,
-0.036776427179574966,
-0.3535240888595581,
-0.011995987966656685,
-0.36609843373298645,
0.20887945592403412,
-0.8007628321647644,
0.6484514474868... |
TASK DEFINITION: In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, ... | for
| 8 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
0.573998212814331,
0.25073671340942383,
-0.5734974145889282,
-0.08203992247581482,
-0.029191847890615463,
-0.6979223489761353,
0.5729570388793945,
0.9862737655639648,
-0.19161182641983032,
0.01571778580546379,
-0.401582807302475,
0.07854200154542923,
-0.5967830419540405,
0.251953661441803,... |
Part 1. Definition
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Part 2. Example
Context: Tracy didn't go home that e... | Yes | 7 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.4019199013710022,
0.26882243156433105,
0.20383885502815247,
0.5378550291061401,
0.2109326720237732,
-0.5826141834259033,
0.42282047867774963,
0.5842263698577881,
0.3957614302635193,
0.14299212396144867,
-0.24500571191310883,
-0.12242694199085236,
-0.1171501874923706,
-0.1743391454219818,... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
Q: ... | joy | 4 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.44816333055496216,
-0.2946397662162781,
0.15750259160995483,
-0.4919666647911072,
-0.7906286716461182,
-0.46720051765441895,
0.4917566180229187,
1.2017518281936646,
-0.09353938698768616,
-0.08501581102609634,
-0.34077689051628113,
0.04974933713674545,
-0.0033152722753584385,
0.275223433... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: in what time will a train 100 meters long cross an electric pole , if its speed is 162 km / hr
Options: a ) 8.5 seconds , b ) 2.22 seconds , c ) 3.5 seconds , d ) 2.5... | b
****
| 4 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.26503825187683105,
-0.0786096602678299,
-0.31911414861679077,
0.002443599049001932,
0.02457406185567379,
0.18095870316028595,
-0.2768871486186981,
0.48517870903015137,
-0.37379735708236694,
0.44418957829475403,
-0.7779604196548462,
0.16930729150772095,
0.63325434923172,
-0.23348888754844... |
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 Spanish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: ¿Dónde po... | E | 1 | NIv2 | task1131_xcsr_es_commonsense_mc_classification | zs_opt | [
-0.2542048692703247,
0.9764784574508667,
-0.21995174884796143,
-0.30534082651138306,
-0.6908326745033264,
-0.3897407650947571,
0.48865175247192383,
1.156715750694275,
-0.1068752110004425,
-0.19866403937339783,
0.30661967396736145,
0.04717417061328888,
0.2210865467786789,
-0.440970361232757... |
In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
[Q]: @HillF1 @SilverstoneUK I'm coming on Saturday for Qually and the race on Sunday, can't wait 😊 #excitement #needalewiscap
[A]: Happy
[Q]: i be... | Happy
| 5 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | fs_opt | [
-1.2998778820037842,
0.1354556381702423,
0.8515208959579468,
-0.32121193408966064,
-0.4499363899230957,
-0.6170323491096497,
0.31475329399108887,
-0.0842597484588623,
0.1277237832546234,
-0.4280037581920624,
-0.6846855878829956,
0.22328786551952362,
-0.08790388703346252,
-0.005427544005215... |
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow... | Negative | 9 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.9727636575698853,
0.09242266416549683,
0.6209745407104492,
0.4106906056404114,
0.2922721803188324,
-0.9791674613952637,
0.8580456376075745,
0.7807400226593018,
0.3000756800174713,
0.36633187532424927,
-0.06347749382257462,
0.033292196691036224,
-0.5733823776245117,
-0.5506113767623901,
... |
Instructions: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Input: Context : ISO 3166-2:LB is the entry for Lebanon in ISO 3166-2, part of the ISO 3166 standard published by the International... | Who set the standards for ISO 3166-2:LB? | 3 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
-0.07500414550304413,
0.3814004361629486,
-1.023636817932129,
-0.657498836517334,
0.05009402334690094,
0.48552536964416504,
0.4169033169746399,
0.27945882081985474,
-0.6557440757751465,
-0.6618595123291016,
-1.3772311210632324,
0.991779625415802,
-0.7898534536361694,
0.40892165899276733,
... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must b... | Sentence 1: Billy skipped piano lessons but made sure to attend his guitar lessons because he hated playing the _ .
Answer1: piano.
Sentence 2: Billy skipped piano lessons but made sure to attend his guitar lessons because he loved playing the _ .
Answer2: guitar. | 4 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.5356085896492004,
0.3397071957588196,
-0.16936349868774414,
-0.0922863557934761,
0.711001992225647,
-0.8069697022438049,
0.5926616191864014,
1.0603673458099365,
-0.5875644683837891,
-0.11507486552000046,
-0.31438276171684265,
0.13561736047267914,
-0.6073637008666992,
-0.05933320894837379... |
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.
[Q]: Personality: I had ... | I am an animal phobic. They freak me out. What about you?
| 5 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.6382691860198975,
0.4415174722671509,
-0.3883923292160034,
-0.4344976544380188,
-0.03955334424972534,
-0.018433885648846626,
0.771552324295044,
0.40057092905044556,
0.12224932014942169,
0.08783801645040512,
-0.25232067704200745,
0.3596748113632202,
-0.7928828001022339,
0.177951484918594... |
Detailed Instructions: In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
See one example below:
Problem: Sentence: 'a hot dog in a bun with ketchup on a plate with french fries'. How many words start with the letter 'a' in the sentence... | 3 | 4 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
-0.03268025815486908,
0.3896152377128601,
-0.20083829760551453,
-0.6264128684997559,
-0.6428866982460022,
-0.09137453138828278,
0.26253074407577515,
0.573517382144928,
0.33315902948379517,
-0.7533409595489502,
-0.2968304455280304,
0.08788859844207764,
-0.03606075793504715,
0.16235873103141... |
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Input: Consider Input: El dye-test (prueba de Sanbin-Feldman) es el método de referencia para el diagnóstico de
Output: The dye-test (Sanbin-Feldman test) is the reference method f... | Output: A population estimate of blood creatinine levels is made in a group of pregnant women, obtaining the following results mean (×) 0.8 mg / dL; typical deviation (s) 0.62 mg / dL; sample size (n) 85 women. According to the previous data, the confidence interval for the population mean (μ) with a confidence level o... | 2 | NIv2 | task1433_head_qa_language_translation_es_to_en | fs_opt | [
0.02634527161717415,
-0.2653582692146301,
-0.5087407231330872,
-0.2934879660606384,
0.6761487722396851,
-0.09369339048862457,
0.5661906003952026,
0.9490870237350464,
-0.33046066761016846,
0.20543834567070007,
-0.6767165660858154,
1.0397831201553345,
-0.46503758430480957,
0.6446092128753662... |
Definition: In this task, you need to reverse the order of words in the given sentence.
Input: Sentence: the man is smiling as he skis downhill
Output: | downhill skis he as smiling is man the | 2 | NIv2 | task376_reverse_order_of_words | zs_opt | [
-0.6520659327507019,
0.8728023171424866,
0.21174463629722595,
-1.1267399787902832,
0.14892996847629547,
0.1296817511320114,
0.7555055618286133,
-0.11543905735015869,
0.47020018100738525,
-0.18146196007728577,
-1.503972053527832,
0.40221232175827026,
-0.06287898123264313,
0.2466933578252792... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
--------
Question: Lembrem-se, é essa estrutura em rede que cria estes tópicos emergentes. Digamos que pegamos em dois deles, por exemplo cidades e genética, e vemos se existem palestras que façam, de uma forma criativ... | Chcę wam powiedzieć o tym, czego możemy się nauczyć z badania genomów żyjących osób i wymarłych ludzi.
| 7 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
-1.2504358291625977,
0.7817296981811523,
0.1772153377532959,
-0.7566914558410645,
-0.5592724084854126,
-0.2798749804496765,
0.9256911873817444,
-0.18922235071659088,
0.27394187450408936,
-0.754076361656189,
-0.8179877996444702,
0.9314444065093994,
-1.0406713485717773,
0.15181410312652588,
... |
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: करनाली मप्सातुंग नामक हिमनद से निकलकर ... | अयोध्या | 6 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.23045054078102112,
0.49074462056159973,
-0.10163819789886475,
-0.6248265504837036,
0.22736352682113647,
-1.2621474266052246,
-0.13321256637573242,
0.4264465868473053,
0.024682704359292984,
-0.12823306024074554,
-0.5373127460479736,
-0.4757339656352997,
-0.34672731161117554,
-0.3049624562... |
Q: 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 with its h... | shell | 7 | NIv2 | task471_haspart_answer_generation | zs_opt | [
-0.8559516668319702,
0.6214463114738464,
0.18476688861846924,
0.0743052065372467,
-0.6106652021408081,
-0.17648044228553772,
-0.43556010723114014,
0.2352222502231598,
0.513912558555603,
-0.7915999293327332,
-0.7719417214393616,
0.5279754400253296,
-0.0023815880995243788,
0.0659113228321075... |
TASK DEFINITION: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
PROBLEM: Sentence1: Miranda had a craving for something salty. Sentence2: She tried to eat some chips but she still craved something. Sentence3: She d... | Garcia
| 8 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.47952955961227417,
0.0011573242954909801,
-0.28329023718833923,
-0.5787121057510376,
0.5644344687461853,
-0.3885480463504791,
0.6412050724029541,
0.7729580402374268,
0.09563738107681274,
-0.3687600791454315,
-0.7442699670791626,
-0.23245452344417572,
-1.0505280494689941,
0.01957222074270... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there a... | [4, 7] | 1 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.037525348365306854,
0.6577972769737244,
-0.4036307632923126,
-0.20339202880859375,
0.39961910247802734,
0.3795577883720398,
0.9072870016098022,
0.13063469529151917,
0.2814173698425293,
0.2506016194820404,
-0.3294481039047241,
-0.27949076890945435,
-0.038430355489254,
-0.00658983970060944... |
In this task, you need to answer basic science questions. For each question, several terms are intentionally masked with ***. This masking can cover very few or many of the question words. Clearly, if masked terms are important, the modified question will be impossible to answer. Please indicate the correct answer with... | E. | 4 | NIv2 | task043_essential_terms_answering_incomplete_questions | zs_opt | [
0.3177372217178345,
0.03898220509290695,
0.36813485622406006,
-0.4572541117668152,
-0.5296943187713623,
-0.8384265899658203,
0.6243453621864319,
0.8274699449539185,
-0.9273993968963623,
0.10039743781089783,
-0.06794968247413635,
0.3213678002357483,
-0.5627366304397583,
-0.4025801718235016,... |
instruction:
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of d... | Invalid
| 9 | NIv2 | task149_afs_argument_quality_death_penalty | fs_opt | [
0.5522485971450806,
0.7072386741638184,
0.23224851489067078,
0.03367131948471069,
-0.6474027633666992,
-1.9156789779663086,
0.6266011595726013,
0.1213085949420929,
-0.05609029531478882,
0.12330923229455948,
-0.5620115399360657,
-0.301984578371048,
-0.3999514579772949,
0.3094182312488556,
... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: [-263, -245]
Student: | [-260, -240] | 6 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.9346023797988892,
0.6844164133071899,
0.292128324508667,
-0.725926399230957,
-0.5512687563896179,
-0.6982772350311279,
0.7619408369064331,
-0.2566562592983246,
-0.2221546769142151,
0.20467796921730042,
-0.7313071489334106,
0.17034773528575897,
-0.622864842414856,
-0.35655683279037476,
... |
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.
Input: Consider Input: [-86.423, 157.154, 69.56... | Output: -9.307
| 2 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.48198917508125305,
0.28133922815322876,
-1.1341376304626465,
-0.901106059551239,
0.16360895335674286,
0.46205049753189087,
0.23731808364391327,
0.36636102199554443,
-0.22434192895889282,
0.17503350973129272,
-1.2379648685455322,
0.4436851441860199,
-0.6378812789916992,
0.020816840231418... |
Teacher:In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Teacher... | began | 6 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.355413556098938,
0.4459078311920166,
0.07071951776742935,
-0.027245832607150078,
-0.2896099388599396,
0.5883947610855103,
-0.5178215503692627,
0.643650233745575,
-0.47057482600212097,
0.39705467224121094,
-0.2831093668937683,
0.4725719690322876,
-0.3265819549560547,
0.008359774015843868,... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Q: A evolución darwiniana é lenta; prodúcese ó longo de centos de miles de anos.
A: אבולוציה דארוויניסטית היא איטית; לוקחת מאות אלפי שנים.
****
Q: No ano 2000, o Centro para a Prevención e o Control de Enfermidades, o CD... | היא הצליחה ללמוד אנגלית ולמדה את זה כשפה זרה.
****
| 4 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.7169709205627441,
0.41887882351875305,
-0.303753525018692,
-0.24197335541248322,
-0.7424910068511963,
-1.1060090065002441,
-0.08055204153060913,
0.21834954619407654,
0.3286861181259155,
0.2609546184539795,
-0.4336639642715454,
0.3641439378261566,
-1.015223741531372,
0.3290953040122986,
... |
Instructions: We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the sa... | Not similar | 3 | NIv2 | task147_afs_argument_similarity_gay_marriage | zs_opt | [
-0.3917221426963806,
0.19135108590126038,
0.24050192534923553,
-0.14572873711585999,
0.2287786304950714,
-0.07489940524101257,
0.5779904127120972,
0.6589378118515015,
-0.3846285045146942,
0.20923250913619995,
-0.9309842586517334,
0.551122784614563,
-0.5231631994247437,
-0.30623477697372437... |
Detailed Instructions: 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.
Problem:[690, 978, -256, 369, -157, -17, -877, 479, -710, 977, 599]
Solution: | [690, 980, -260, 370, -160, -20, -880, 480, -710, 980, 600] | 8 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.1511019915342331,
0.7408202886581421,
-0.44914519786834717,
-0.5273511409759521,
-0.5370337963104248,
0.013302766717970371,
0.481685996055603,
-0.13086533546447754,
-0.2592450678348541,
-0.25727221369743347,
-0.4250596761703491,
0.3472454249858856,
-0.7188817262649536,
0.432383120059967... |
Instructions: Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate... | Completion C | 3 | NIv2 | task156_codah_classification_adversarial | zs_opt | [
-0.38642144203186035,
0.9336587190628052,
-0.25476640462875366,
-0.6329268217086792,
-0.20059716701507568,
-0.30653661489486694,
0.46246302127838135,
-0.573276937007904,
0.30372852087020874,
-0.2673531174659729,
-0.55596923828125,
0.2990754246711731,
0.3133159875869751,
-0.1473768055438995... |
Detailed Instructions: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Problem:The journalist, who remains on bail on suspicion of phone hacking and corruption, was lent the retired police horse in ... | Met Police lent Sun editor Rebekah Brooks a horse | 8 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
0.15848517417907715,
0.49069321155548096,
-0.43358153104782104,
0.12184207141399384,
-0.0004607394803315401,
-0.1646551638841629,
-0.44346243143081665,
0.9877981543540955,
-0.0336693599820137,
-0.03787979483604431,
-0.6749964952468872,
1.2025907039642334,
-0.5496962070465088,
0.62847596406... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | Solution: #1 return needles
#2 return spoon
#3 return the number of #1
#4 return the number of #2
#5 return if #3 is equal to two
#6 return if #4 is equal to one
#7 return if both #5 and #6 is true | 5 | NIv2 | task176_break_decompose_questions | fs_opt | [
1.080596923828125,
-0.2017606943845749,
-0.6492812633514404,
0.7187806367874146,
0.25187766551971436,
-0.36251020431518555,
1.0730793476104736,
0.23148901760578156,
-0.6054674983024597,
0.3261411488056183,
-0.445656418800354,
0.1388653814792633,
0.07571519911289215,
0.5394464135169983,
0... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: Joy doesn't know how to play chess but has always wanted to learn. Sentence2: ... | Joy, Her grandfather | 1 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.20942094922065735,
0.446514755487442,
-0.3995225727558136,
0.03210243582725525,
0.398192822933197,
-0.4015530049800873,
0.47606784105300903,
0.8978151082992554,
0.25739240646362305,
0.000049910449888557196,
-0.25366491079330444,
-0.6668018102645874,
-0.032551851123571396,
0.074787825345... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Sin embargo, ahora sabemos... y les diré ahora mismo que sabemos que este cáncer no se expande por un virus.
| אולם, אנחנו יודעים כעת — ואני אומרת לכם כאן ועכשיו — שאנחנו יודעים שהסרטן הזה אינו מופץ על ידי וירוס. | 5 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.3968580961227417,
0.9999108910560608,
0.3844969868659973,
0.03201794624328613,
-0.5662540197372437,
-0.09162994474172592,
0.23374304175376892,
0.7866994738578796,
0.9098457098007202,
-0.3206760585308075,
-0.12483519315719604,
0.6421672105789185,
-1.146610975265503,
0.154903843998909,
... |
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.
Q: Personality: I take he... | Yes me too. Where are you from? | 4 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.7924654483795166,
0.5305516719818115,
-0.3439711630344391,
0.06978544592857361,
-0.5601158142089844,
0.09704301506280899,
0.6234024167060852,
-0.7660672068595886,
0.4740617275238037,
-0.9795455932617188,
-0.16048426926136017,
0.14895111322402954,
-0.648244321346283,
0.6462676525115967,
... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | N | 4 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.0863572359085083,
0.7275028228759766,
0.35501354932785034,
-0.6628634929656982,
-0.10873018205165863,
0.46386775374412537,
0.41145750880241394,
0.679949939250946,
0.039286576211452484,
0.05130764842033386,
-0.4624709486961365,
0.4141053557395935,
-0.78127521276474,
-0.20671387016773224,... |
instruction:
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, finding remain... | -271
| 9 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.4734087288379669,
0.33187997341156006,
-0.3406901955604553,
-0.7906797528266907,
0.09740407019853592,
-0.3095962405204773,
1.2647761106491089,
0.6052921414375305,
0.27224892377853394,
-0.46894371509552,
-0.6083897352218628,
0.3403249979019165,
-0.2778359353542328,
0.13833731412887573,
... |
Q: Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Question: What is the temperature at which condensation of water vapor occurs called? Answer: the dew point
A: | The temperature at which condensation of water vapor occurs is called the dew point. The dew point varies depending on air temperature and moisture content. | 7 | NIv2 | task593_sciq_explanation_generation | zs_opt | [
1.3315407037734985,
0.20501014590263367,
-0.21403257548809052,
-0.15363460779190063,
-0.7245969176292419,
-0.2528040111064911,
-0.1218448132276535,
0.16306975483894348,
0.4140349328517914,
-0.2627180218696594,
0.30097731947898865,
-0.42425206303596497,
-0.3025169372558594,
0.49545797705650... |
Part 1. Definition
Given a sentence in Arabic, generate a new Arabic 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 pr... | أنت متحمس للتخطيط لنادي رقص في منطقة وسط المدينة. | 7 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
0.7854880094528198,
0.2835702896118164,
-0.4721716046333313,
-0.3702578544616699,
-0.36253291368484497,
0.17605416476726532,
1.229666829109192,
0.4110390543937683,
0.49851351976394653,
-0.685958981513977,
-0.3474333882331848,
0.06139024347066879,
-0.9457932710647583,
0.09202331304550171,
... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[EX Q]: @SarahSaner Hi Sarah! We�re always passing each other by...
[EX A]: positive
[EX Q]: @Leighkid ugh i didnt try them yet.... phil is useless and i... | positive
| 6 | NIv2 | task195_sentiment140_classification | fs_opt | [
-2.022081136703491,
-0.19692492485046387,
0.7828935384750366,
0.20951113104820251,
0.5749861001968384,
-0.8158600926399231,
-0.02307625487446785,
0.8248826265335083,
0.5343323945999146,
0.6214017271995544,
-0.3795972466468811,
-0.6551508903503418,
-0.14368894696235657,
-0.8451553583145142,... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Sentence: 'a black an white photo of a skateboarder in the air'. Count the number of co... | 23 | 1 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.38208532333374023,
0.4327675998210907,
-0.614969789981842,
-0.6640957593917847,
0.484408974647522,
0.17428767681121826,
-0.1707315444946289,
0.677840530872345,
-0.06779693067073822,
-0.08726924657821655,
-0.43331319093704224,
-0.20922505855560303,
-0.0070743318647146225,
-0.6561614871025... |
Instructions: You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possibl... | elementary | 3 | NIv2 | task1712_poki_classification | zs_opt | [
-0.39522919058799744,
1.2295992374420166,
0.4857026934623718,
-0.3106803596019745,
-0.2634707987308502,
-0.8689424395561218,
0.18246451020240784,
0.7873839139938354,
0.16586121916770935,
-0.8636534214019775,
-0.5673309564590454,
0.4873815178871155,
0.11452269554138184,
-0.16459181904792786... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
می شود ۱۰۰ ، ۰۰۰ نوع مختلف. نام بردن آنها یک روز طول می کشد.
A: | Têm 100 mil, levaria todo o dia. | 7 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.7823149561882019,
0.7642945647239685,
0.25454187393188477,
0.3939995765686035,
-0.7159278392791748,
-0.20664751529693604,
0.33965617418289185,
0.2659965455532074,
0.8242868185043335,
0.02604692615568638,
-0.7933224439620972,
0.29950639605522156,
-0.08565887063741684,
0.48167911171913147... |
Q: 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 commonsense plausibility, that is to have reasonable probability of it be... | कारों का एक पायलट रूस का शिष्टाचार नष्ट कर दिया जाता है लेकिन के रूप में. | 7 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.8134745359420776,
0.11604800820350647,
0.19468748569488525,
0.08292411267757416,
-0.4823973476886749,
-1.0210204124450684,
0.7646998167037964,
1.084179401397705,
-0.1983659267425537,
-0.8507342338562012,
-0.9127386808395386,
-0.5198708772659302,
0.04839347302913666,
0.17583352327346802,... |
Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with ... | Who was the oldest president when he took office from United States?
Donald John Trump | 3 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-0.21544653177261353,
0.6566599607467651,
-0.49529358744621277,
-0.2420535683631897,
-0.4983108639717102,
-0.2572285830974579,
0.34740763902664185,
0.43039798736572266,
0.20821821689605713,
0.05013410374522209,
-0.5822199583053589,
-0.20445214211940765,
-0.0990845263004303,
-0.067633360624... |
Teacher:In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understa... | The Al Asad Airbase is operated by the United States Air Force, which houses the The Lockheed AC-130 (attack aircraft) and the McDonnell Douglas F-15 Eagle ( aircraft fighter). The United States Air Force fought in the United States bombing of Libya in 1986. | 6 | NIv2 | task1409_dart_text_generation | zs_opt | [
0.045589447021484375,
0.6605632305145264,
-0.8315708637237549,
-0.7405479550361633,
-0.052882976830005646,
-0.27565568685531616,
0.9658656716346741,
0.3707272410392761,
-0.11894121021032333,
-0.14247441291809082,
-0.4725213050842285,
-0.2962166666984558,
0.05033073574304581,
-0.26229554414... |
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creati... | When did Hayek begin presenting his ideas on the limits of human knowledge?
| 3 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
0.7543420195579529,
0.2314433753490448,
-0.370297908782959,
-0.13480262458324432,
0.512635350227356,
-0.38076260685920715,
1.014474868774414,
1.2621272802352905,
0.08588092029094696,
0.4628610610961914,
-0.33926719427108765,
0.18252289295196533,
-0.4194800853729248,
-0.23573848605155945,
... |
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