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Given the task definition and input, reply with output. 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. സൈബര്‍സെക്യൂരിറ്റി, ഡിജിറ്റല്‍സാങ്കേതികവിദ്യ, എന്നിവയില്‍ പുതിയരൂപരേഖയ്ക്ക് നാം സമ്മതിച്ചതില്‍ എനി...
इंडियन ओशेन क्षेत्र में हमारा ऑपरेशनल कोऑपरेशन तेजी से आगे बढ़ रहा है।
5
NIv2
task1018_pib_translation_malayalam_hindi
zs_opt
[ -0.6446796655654907, 0.4167199730873108, 0.23620812594890594, -0.2675318121910095, -0.11767344921827316, -0.5809058547019958, 0.23659217357635498, 0.08521458506584167, 0.4567158818244934, -0.3150431215763092, -0.37508898973464966, 0.1584424376487732, -0.4957246482372284, 0.0190687384456396...
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage. Remy was a web developer and made a lot of money on a few websites.
How would Remy feel afterwards?
0
NIv2
task596_mocha_question_generation
zs_opt
[ -0.446157842874527, 1.2603013515472412, 0.44831329584121704, -0.33222442865371704, -0.6730466485023499, 1.0342650413513184, 0.19265025854110718, 1.2769970893859863, 0.4707035422325134, 0.25284501910209656, -0.36135464906692505, 0.2612631022930145, -0.8180783987045288, -0.0767425149679184, ...
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform...
strengthener
0
NIv2
task936_defeasible_nli_snli_classification
fs_opt
[ 0.5998900532722473, -0.2643420398235321, -0.8280577659606934, -0.060130923986434937, 0.29393842816352844, -0.8429065942764282, 0.9462325572967529, 1.3411316871643066, 0.5624227523803711, -0.3007204830646515, -0.8011751770973206, 0.36830857396125793, -0.6829639673233032, 0.06701789796352386...
Teacher: This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a se...
[['[TABLECONTEXT]', '[TITLE]', 'List of career achievements by Jack Nicklaus, PGA Tour career summary'], ['1964', 'EARNINGS_($)', '113284'], ['[TABLECONTEXT]', 'YEAR', '1964']]
2
NIv2
task1410_dart_relationship_extraction
fs_opt
[ -0.02891349047422409, -0.052982546389102936, -1.3388501405715942, -0.18562555313110352, -0.3274499177932739, -0.27210524678230286, 0.5977036356925964, 0.2952282428741455, 0.06370435655117035, -0.09782535582780838, -0.18433524668216705, 0.11538012325763702, -0.40922752022743225, 0.330593109...
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 pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each ...
The man is wearing green
0
NIv2
task189_snli_neutral_to_contradiction_text_modification
fs_opt
[ -0.051621973514556885, 0.8134018182754517, 0.3458717465400696, -0.5495436787605286, 0.3265764117240906, -0.5125339031219482, -0.06814068555831909, 0.7931877374649048, 0.1774166375398636, -0.07631988078355789, -0.5397557020187378, -0.17452141642570496, -0.5997364521026611, -0.03706018626689...
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text. Personality: I joined a new team last month. I am a soccer player. Nike cleats are my favori...
Are you married? Any kids?
0
NIv2
task1730_personachat_choose_next
zs_opt
[ 0.031068230047822, 0.4776874780654907, -1.0500872135162354, 0.5497971773147583, -0.3631502687931061, -0.14534878730773926, 1.1462225914001465, 0.11337776482105255, 0.06227210909128189, -0.6340134143829346, -0.22871708869934082, 0.031024472787976265, -0.4780166745185852, 0.3169010281562805,...
TASK DEFINITION: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew. PROBLEM: Em África, uma cobra que podia fazer o solo fumegar. SOLUTION: באפריקה, על נחש שיכל לגרום לאדמה לעשן. PROBLEM: O meu não é. SOLUTION: שלי לא. PROBLEM: Como é que sabemos isso? SOLUTION:
איך אנו יודעים זאת?
8
NIv2
task1278_ted_translation_pt_he
fs_opt
[ -0.13640406727790833, 0.10252635180950165, -0.03287681192159653, -0.5289193987846375, -0.610756516456604, -0.1331615447998047, 0.9209496974945068, 0.2934768497943878, 0.07233982533216476, -0.1128382533788681, -0.917369544506073, -0.008628804236650467, -1.37473464012146, -0.2750266790390014...
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance. Let me give you a...
73
8
NIv2
task1446_farthest_integers
fs_opt
[ -0.2513965964317322, 0.07033570110797882, 0.11025378108024597, -0.2157840132713318, 0.0023385619278997183, -0.5135315656661987, 0.8743311166763306, 0.31163346767425537, 0.7046449184417725, -0.20603588223457336, -0.09297250211238861, 0.015018212608993053, -0.5552595257759094, -0.05581812560...
Part 1. Definition In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then rev...
MU3511eGu324973871587
7
NIv2
task267_concatenate_and_reverse_all_elements_from_index_i_to_j
fs_opt
[ -0.12475002557039261, 0.16847088932991028, -0.36122846603393555, -0.5209673047065735, 0.06605039536952972, 0.10782621055841446, 0.4714955985546112, 0.10147362947463989, -0.4652760624885559, 0.2179894745349884, -1.178112506866455, -0.209572434425354, 0.12911340594291687, -0.2893598675727844...
In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is unnecessary to answ...
Gina's grandma wanted Gina to feed the dogs.
1
NIv2
task332_tellmewhy_answer_generation
fs_opt
[ -0.8506168127059937, -0.11271026730537415, -0.4133375883102417, 0.1765209436416626, -0.32345879077911377, -0.831566572189331, -0.06730896234512329, 0.41790279746055603, -0.5957878232002258, 0.16269901394844055, 0.1007942259311676, 0.21961984038352966, -0.26610395312309265, 0.14895072579383...
The task is to generate text based 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 emotional reaction to the event, i.e. how that person feels after doing the action. Example Input: PersonX builds PersonX's own computer Exa...
loving.
3
NIv2
task1595_event2mind_text_generation_1
fs_opt
[ -0.233743354678154, 0.7570996284484863, -0.008836543187499046, -0.5448676347732544, -0.4293596148490906, -0.19081033766269684, 1.347400426864624, 0.8565475940704346, 0.5084415674209595, -0.4951457381248474, 0.11402655392885208, 0.18834860622882843, -0.5081413388252258, 0.3281945586204529, ...
Given the task definition and input, reply with output. Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question. duane eddy
Which of these tracks was a hit for Duane Eddy?
5
NIv2
task897_freebase_qa_topic_question_generation
zs_opt
[ -0.25434839725494385, 0.7916221022605896, -0.8400058746337891, 0.06547650694847107, -0.1771964132785797, 0.28220334649086, 0.6698264479637146, -0.13644494116306305, 0.3963150978088379, -0.4324628710746765, -0.6304932832717896, -0.03702972084283829, -0.7774608731269836, -0.1863197237253189,...
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase". One example: اگر Apple ID و ایمیل خود را فراموش کرده ام چه کاری می توانم انجام دهم؟ <sep> Apple ID و رمز عبور خ...
not-paraphrase
6
NIv2
task465_parsinlu_qqp_classification
fs_opt
[ -0.7871164083480835, 0.7400128245353699, -0.2577108144760132, -0.6152732372283936, -1.0081143379211426, -0.2165611982345581, 2.0454554557800293, 0.36938342452049255, 0.2055785357952118, -0.39951291680336, -0.25488221645355225, -0.20282766222953796, -0.9116380214691162, 0.30437538027763367,...
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line. Q: Charles William Dickey , 1940 , an...
Not paraphrase
4
NIv2
task400_paws_paraphrase_classification
zs_opt
[ -0.4661400616168976, 0.43277835845947266, 0.16801151633262634, -0.4031035602092743, -0.31691765785217285, 0.0048658824525773525, 1.057213306427002, 0.11857282370328903, 0.25952717661857605, -0.324257493019104, -0.5148236155509949, 0.2130393087863922, -0.691296398639679, 0.03436503559350967...
Given the task definition, example input & output, solve the new input case. You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types: (1) Humans: Any individual or group of h...
Organization.
1
NIv2
task046_miscellaneous_question_typing
fs_opt
[ 1.0243723392486572, -0.42662927508354187, -0.43312525749206543, 0.30028846859931946, 0.2781235873699188, -0.6357470750808716, 0.8621872663497925, 1.0923476219177246, -0.23483163118362427, -0.1546074002981186, -0.6460160613059998, 0.20156770944595337, 0.09925179183483124, -0.061766810715198...
You will be given a definition of a task first, then some input of the task. In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, wi...
A person is in the snow.
1
NIv2
task189_snli_neutral_to_contradiction_text_modification
zs_opt
[ -0.33980655670166016, 0.9254558086395264, 0.2165350317955017, -0.6254875063896179, 0.5887836217880249, 0.030522095039486885, 0.10868722945451736, 0.7199364900588989, 0.31924474239349365, -0.422291100025177, -0.9497530460357666, -0.30059635639190674, -0.3265441954135895, -0.3638534545898437...
In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative. que du bonheur . quel plaisir que l annonce de la sortie dvd d UN CHATEAU AU SOLEIL.Que cell...
POS
0
NIv2
task483_cls_french_dvd_classification
zs_opt
[ 0.46862995624542236, -0.38285335898399353, -0.8113229274749756, 0.579364538192749, 0.31617534160614014, 0.3666577935218811, 1.704337477684021, 1.0753511190414429, -0.12785929441452026, 0.2085583209991455, -0.22720786929130554, -0.744072675704956, -0.3525961637496948, -0.19278183579444885, ...
Q: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B. [9813, 4427, '8939', 'A', 'o', '8889', '4491', 'A', 'N', 1661], [9941, 'S', 'F', '8939', 'A', 'o', '8889', '4491', 'Y', 6761, 3277] A:
8939, A, o, 8889, 4491
7
NIv2
task605_find_the_longest_common_subsequence_in_two_lists
zs_opt
[ -0.6536532640457153, 0.38280630111694336, -0.7576693296432495, -0.34017109870910645, -0.5737884044647217, -0.08717796206474304, 0.03541858494281769, -0.35195302963256836, -0.4342030882835388, 0.21583062410354614, -1.0463197231292725, 0.2330070286989212, 0.6192964911460876, 0.31157952547073...
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic. Input: Ninguém tem de aprovar a nossa ideia. Output:
لا أحد عليه إعطاء الضوء الأخضر لفكرتك.
2
NIv2
task1277_ted_translation_pt_ar
zs_opt
[ -0.18697546422481537, 0.9635192155838013, 0.17539408802986145, -1.1291942596435547, -0.619992733001709, -0.2027813345193863, 0.5402758121490479, -0.0751289427280426, 1.1085995435714722, 0.22988978028297424, -0.5416638851165771, -0.4828503131866455, -0.35337018966674805, 0.2446795552968979,...
Instructions: 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 still missing in the previous works? What are the high-level resear...
purpose
3
NIv2
task1163_coda19_section_classification
zs_opt
[ -0.8215121626853943, 0.6728970408439636, -0.23569291830062866, -0.7442223429679871, -0.059726692736148834, -0.050867710262537, 0.06247621402144432, 0.45520371198654175, 0.007043768651783466, 0.061040282249450684, -0.7987080812454224, -0.24271884560585022, -0.042208295315504074, 0.133007839...
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. Input: Consider Input: PersonX tells PersonY what happened Outpu...
Output: to be the best
2
NIv2
task1596_event2mind_text_generation_2
fs_opt
[ -0.49966001510620117, 0.8035706281661987, 0.01946892775595188, -0.27629774808883667, -0.26017749309539795, 0.03286927938461304, 0.4218869209289551, 0.30940935015678406, 0.2584175169467926, -0.24940891563892365, -0.10952936857938766, -0.0842190682888031, -0.5161507725715637, 0.0064784740097...
This task is to translate the Telugu Language Input to English Language Output Example input: నేను వీడియో చేస్తున్నాను Example output: I am making a video. Example explanation: Both the sentences says the same meaning in different languages, so it is a correct translation. Q: స్నేహం, విశ్వాసం, ప్రేమ, పొందడానికి మార్పి...
Friendship, trust, love, all through the exchange to get,
3
NIv2
task1617_cc_alligned_translate_tel_eng
fs_opt
[ -0.33439043164253235, 0.4387577772140503, 0.025555092841386795, 0.25407689809799194, -0.17610061168670654, -0.5293295979499817, -0.25019192695617676, 0.5039597153663635, -0.3586105406284332, -0.5559424161911011, 0.31690508127212524, -0.21463243663311005, -0.23908081650733948, -0.2767213582...
You will be given a definition of a task first, then some input of the task. 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. 9, ['2915', '6203', 'D', '5021', 'E...
2915, 6203, D, 5021, E, L, 2539, h, g, D, 1123, 543, 5223, 9347, 7707, 2807, N, 8901
1
NIv2
task078_all_elements_except_last_i
zs_opt
[ -0.286876380443573, 0.1651473343372345, -0.13098573684692383, -0.12310519814491272, -0.457069993019104, -0.15908537805080414, 0.2670634984970093, 0.08924208581447601, -0.39819878339767456, -0.10332155972719193, -1.136230707168579, -0.43227288126945496, 0.14610376954078674, -0.1986385434865...
You will be given a definition of a task first, then some input of the task. You are given a statement written in Tamil. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Statement: தௌலாதர் சிகரம் (ஆங்கிலம்: D...
மண்டிக்கு
1
NIv2
task953_wiki_cloze_ta_multiple_choice_question_answering
zs_opt
[ 0.12527279555797577, 1.2621371746063232, -0.2872354984283447, -0.1317887008190155, -0.22801925241947174, -1.0934998989105225, -0.6062834858894348, 0.7899295091629028, 0.47602152824401855, 0.1980939656496048, 0.6565535664558411, -0.09736974537372589, -0.525391161441803, 0.07410445809364319,...
Teacher: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense. Teacher: Now, unde...
1
2
NIv2
task069_abductivenli_classification
fs_opt
[ -0.31155917048454285, 0.4530189335346222, 0.23819774389266968, -0.4531572759151459, -0.24217116832733154, -0.4139682352542877, 0.11597598344087601, 0.8968130946159363, -0.0757654458284378, 0.350302517414093, -0.2693490982055664, -0.05263444036245346, -0.17316685616970062, -0.51622384786605...
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. PersonX brushes away a ___
brushes away a tv
0
NIv2
task1596_event2mind_text_generation_2
zs_opt
[ -0.3325778841972351, 0.8544390201568604, -0.18297970294952393, -0.4906042814254761, -0.5381457209587097, -0.36993473768234253, 0.9009614586830139, 0.4583953619003296, 0.032494012266397476, -0.4130992293357849, -0.32240328192710876, -0.0864102765917778, -0.649219274520874, 0.451164901256561...
Given the task definition and input, reply with output. Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when tw...
Cells make up the structure and function of plants and animals.
5
NIv2
task038_qasc_combined_fact
zs_opt
[ 0.0438859760761261, 0.8407627940177917, -0.4689090847969055, 0.34272682666778564, -0.2933976650238037, -1.0986719131469727, -0.10743291676044464, 0.8908806443214417, -0.49375617504119873, 0.23534353077411652, -1.1634608507156372, 0.3068629801273346, -0.5339319109916687, 0.11213856190443039...
Teacher:In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct. Teacher: Now, understand the problem? Solve this instance: Now superseded by theodolite. Student:
Ngoku kusetyenziswa isixhobo esisetyenziswe ekucandeni ilizwe okanye umhlaba
6
NIv2
task872_opus_xhosanavy_translation_eng_xhosa
zs_opt
[ 0.4624592661857605, 0.503166139125824, -0.12727634608745575, -0.5406739711761475, -0.27135559916496277, -1.518444299697876, 0.4099857211112976, 0.5194458961486816, 0.9237124919891357, -0.5416977405548096, 0.47987574338912964, -0.4021034240722656, -0.09984312951564789, -1.0432698726654053, ...
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician. [Q]: Tacy jesteśmy normalnie: stoimy przy dystrybutorze i czujemy się dość bezradni. [A]: Velaí estamos nós habitualmente; parados na gasolineira, sentíndonos impotentes. [Q]: Co myślicie o nauce? [A]: Que opinan da apren...
Cando chegamos fomos directos ás rúas, comezamos a falar con xente de todas partes e démonos conta de que as cousas eran un pouco distintas da retórica que tiñamos oído nos medios de comunicación.
5
NIv2
task1261_ted_translation_pl_gl
fs_opt
[ -0.9444938898086548, 0.5986107587814331, 0.31436219811439514, -1.2639808654785156, -0.38089707493782043, -1.2709747552871704, 0.9738275408744812, 0.26391205191612244, 0.19652634859085083, 0.08807748556137085, -0.23875606060028076, -0.004742726683616638, -0.3570444583892822, 0.2837613821029...
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B. Example Input: ['h', 'l', 2659, 5135, 4075, 'B', 'Z', 7075, '8385', 'I', '5937', 'N', 'H', '7143', '9643', '7171', 'z', 'c', 'A', '2163', 'm', 5383, 'S', 8583, 3589, 'S'], [5819, 317, 1243, 6949, 3195, 'A', 'p', 'F', '...
2093, 5929, 853, g, s, q, 1795, 75, 5073, 4799, z, 6829, 7865, 6801, f, b, W, 9629, V, 3931, P, I, 5783
3
NIv2
task605_find_the_longest_common_subsequence_in_two_lists
fs_opt
[ -0.36184176802635193, 0.1516173630952835, -0.12786436080932617, -0.41268083453178406, -0.16788841784000397, -0.34714657068252563, 0.6905255317687988, 0.7467946410179138, -0.6515133380889893, 0.10770271718502045, -0.8921822309494019, 0.23092865943908691, -0.29290926456451416, 0.228073298931...
TASK DEFINITION: In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time. PROBLEM: उत्पादकों को उचित विपणन सम्बन्धी जा...
English
8
NIv2
task427_hindienglish_corpora_hi-en_language_identification
fs_opt
[ 0.1441115438938141, -0.012379053048789501, 0.6269571781158447, 0.04302702844142914, 0.07471048831939697, -0.5380300283432007, 0.46942171454429626, 0.3065684735774994, -0.1899336576461792, -0.13697487115859985, -0.5497378706932068, -0.048720210790634155, -0.11752650141716003, -0.17943616211...
You will be given a definition of a task first, then some input of the task. In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of l...
[-48000, 1280, -12, 4]
1
NIv2
task851_synthetic_multiply_evens
zs_opt
[ -0.4050520062446594, 0.6533109545707703, -0.4812590777873993, 0.11207886040210724, 0.31693562865257263, 0.2376737743616104, 1.0652852058410645, 0.2443259060382843, 0.1141907349228859, -0.024532131850719452, -0.6429852247238159, 0.012592814862728119, -0.2976078987121582, -0.4676442742347717...
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values. Let me give you an example: [7, 1, 5, 8, -4] The answer to this example can b...
[19, 35, 126, 103, 93, 107, 36, 129, 60, 19, 7, 7]
8
NIv2
task125_conala_pair_differences
fs_opt
[ -0.3068103492259979, 0.4363917112350464, -0.5543437004089355, -0.00502520427107811, -0.2671773433685303, 0.2844952344894409, 0.7789954543113708, 0.5061781406402588, 0.49020856618881226, -0.6678693890571594, -0.26721224188804626, -0.3172467052936554, -0.1914691925048828, -0.0203682444989681...
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the q...
The lead camel driver was discharged from the Army in what state?
9
NIv2
task236_iirc_question_from_passage_answer_generation
fs_opt
[ 0.5144327282905579, 0.25868237018585205, -0.8267557621002197, -0.010386471636593342, -0.023546531796455383, -0.5022243857383728, 1.060999870300293, 1.004736304283142, 0.128427654504776, 0.10024043917655945, -0.3466618061065674, 0.40336766839027405, -0.4571669101715088, 0.11590723693370819,...
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters. Input: Consider Input: Category: FEDERAL PUBLIC SERVANTS Clue: With 7 years' service, this ma...
Output: corsica
2
NIv2
task307_jeopardy_answer_generation_final
fs_opt
[ -0.8550361394882202, 1.345355749130249, -0.013383750803768635, -0.3875419497489929, 0.2647806704044342, -0.13840389251708984, 0.47434747219085693, -0.19890543818473816, 0.555645227432251, -0.35309797525405884, -0.2539597451686859, 0.17753607034683228, -0.374165415763855, -0.377905249595642...
Detailed Instructions: In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time. Q: The old person who incurs ...
English
9
NIv2
task1621_menyo20k-mt_en_yo_language_identification
zs_opt
[ 0.14289391040802002, 0.5016881227493286, 0.6662254333496094, -0.44575953483581543, -0.12915107607841492, -0.3066104054450989, 0.5620244741439819, 0.6682465672492981, 0.2630879878997803, -0.39019906520843506, 0.22244524955749512, 0.4431152045726776, -1.02909255027771, 0.06686460971832275, ...
In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question One example is below. Q: Hi Does R House have a full bar? A: I'm unable to find whether R. House has a full bar. You'll have to c...
I didn't find any matching events on your calendar.
9
NIv2
task1603_smcalflow_sentence_generation
fs_opt
[ 0.30648690462112427, 0.5270599126815796, -0.42175984382629395, 0.45500099658966064, 0.29421761631965637, -1.8342597484588623, 0.8405159115791321, -0.007054924964904785, 0.38377782702445984, 0.22478699684143066, -0.003247594926506281, 0.1620541512966156, -0.4756942391395569, 0.6448404192924...
Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral". One example is below. Q: Topic: Three Gorges Dam Argument: The Three Gorges Dam is a cause of corruption. A: against Rationale: Here, argument is agains...
in favor
9
NIv2
task209_stancedetection_classification
fs_opt
[ 0.4277075529098511, 0.07391393184661865, 0.5574533939361572, -0.44260457158088684, -0.02346661314368248, -1.2657127380371094, -0.247938871383667, 0.8621129989624023, 0.4765411615371704, 0.13875353336334229, 0.1446618139743805, -0.38220012187957764, -0.33683621883392334, -0.6580020189285278...
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian. Pewne tematy ciągle się pojawiały: ile zarabiają, za kogo chcą wyjść za mąż, czy powinny przenieść się do innej fabryki, czy zostać tam, gdzie są.
Alcune tematiche continuavano ad emergere: quanti soldi guadagnavano, che tipo di marito volevano sposare, se avrebbero dovuto cambiare fabbrica o stare dov'erano.
0
NIv2
task1262_ted_translation_pl_it
zs_opt
[ -1.084245204925537, 1.03121018409729, -0.6958888173103333, 0.06908121705055237, -0.38711774349212646, 0.11132283508777618, 0.48174136877059937, 0.3636784255504608, 0.14608554542064667, -0.38504016399383545, -0.32161402702331543, 0.2356792688369751, -0.059161476790905, 0.5391398668289185, ...
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link]. Example Input: Post: @KaaSeeeR Q ya lo sabem...
Generic
3
NIv2
task338_hateeval_classification_individual_es
fs_opt
[ -0.7676653861999512, 0.5978788137435913, 0.4093341529369354, 0.31737595796585083, -0.5513700246810913, -0.6334906220436096, 0.7420248985290527, 0.8424376845359802, -0.05393334478139877, 0.13791705667972565, -0.5737536549568176, 0.2892040014266968, -0.2376050055027008, -0.29016250371932983,...
Given the task definition and input, reply with output. 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 answ...
storm
5
NIv2
task390_torque_text_span_selection
zs_opt
[ 0.1690717339515686, 0.6712210178375244, -0.36017048358917236, -0.25535959005355835, -0.6166859865188599, -0.20040488243103027, 0.5217719078063965, 0.5134917497634888, -0.07707162201404572, 0.661864161491394, -0.7940942049026489, 0.06447891891002655, -0.661579966545105, 0.0885578840970993, ...
Instructions: In this task, given a sentence in the Burmese Language, your task is to convert it into the English language. Input: သူ သည် ဂျိမ်း(စ်) ဘရောင်း နှင့် လူသိများ သော မီးတောက်များ မဖြစ်ပေါ်ခဲ့ခင် သူ သည် ၁၉၃၃ တွင် မွေးဖွား ခဲ့ ပြီး ဆင်းရဲချို့ တဲ့ စွာ ကြီးပြင်း လာခဲ့သည် ။ Output:
He was born in 1933 and grew up in poverty until he formed James Brown & The Famous Flames.
3
NIv2
task538_alt_translation_bu_en
zs_opt
[ -0.79454505443573, 0.5686144828796387, -0.17587792873382568, -0.3884968161582947, 0.3581322431564331, -0.8360552787780762, 0.1121111512184143, 0.3465471863746643, -0.3232675790786743, 0.23219752311706543, 0.10221722722053528, 0.25094154477119446, -1.1188580989837646, -0.26041358709335327, ...
Given the task definition and input, reply with output. 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 a...
A highly priced, very well rated Japanese restaurant called The Rice Boat is near Express by Holiday Inn in the city center.
5
NIv2
task1409_dart_text_generation
zs_opt
[ -0.8477036952972412, 0.5960249900817871, -0.11568577587604523, -0.11999765783548355, -0.2793603241443634, -0.15114502608776093, 0.5391788482666016, 0.16962416470050812, -0.3726133406162262, -0.2584628462791443, -0.6074647903442383, -0.27303004264831543, -0.05807177722454071, -0.12151260673...
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 the passage (c) have a ...
Output: Quina és la massa de Sírius?
2
NIv2
task836_viquiquad_question_generation
fs_opt
[ 0.6513994932174683, 0.8992428779602051, -0.14249423146247864, 0.2848970592021942, 0.6790013313293457, -0.10202329605817795, 0.6055784225463867, 1.2254990339279175, -0.33570995926856995, -0.21773377060890198, -0.3836621642112732, 0.9959104061126709, -0.6154544353485107, 0.2938868999481201, ...
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
0
NIv2
task1201_atomic_classification_xintent
zs_opt
[ 0.19736352562904358, 0.2327381670475006, 0.28252819180488586, -0.15505902469158173, -0.4772678017616272, -0.677461564540863, 1.5113271474838257, 0.25504982471466064, -0.6530623435974121, -0.47119271755218506, -0.4964527487754822, -0.3958683907985687, -0.99329674243927, 0.3385145962238312, ...
Q: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). What?!, said Faith Hill directly into the camera as her smile turned into ...
फेथ हिल ने कैमरे में सीधे कहा क्या?!, क्योंकि उनकी मुस्कान सदमे में बदल गई थी।
7
NIv2
task432_alt_en_hi_translation
zs_opt
[ -0.7562884092330933, 0.33247053623199463, 0.4283757209777832, 0.02291664481163025, 0.3894556760787964, -0.15725623071193695, -0.38587892055511475, 0.890119731426239, -0.12540268898010254, -0.08261704444885254, -0.6463932394981384, -0.25588464736938477, -0.3131018877029419, -0.0348984003067...
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase". برای خلاص شدن از شر آکنه از چه محصولاتی باید استفاده کنم؟ <sep> چگونه می توانم از آکنه خود خلاص شوم و پوست خوب...
not-paraphrase
0
NIv2
task465_parsinlu_qqp_classification
fs_opt
[ -0.19742608070373535, 0.549435019493103, -0.2752577066421509, -0.2736092507839203, -0.8296868801116943, -0.11538802087306976, 0.835230827331543, 1.0193254947662354, 0.2624663710594177, -0.1244865357875824, -1.2103798389434814, 0.5643514394760132, -0.09315758943557739, 0.3101070523262024, ...
You will be given a definition of a task first, then some input of the task. In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language. An intersection in a town, with street signs, stores, and parked cars. Output:
એક શહેરમાં એક સમાંતર, શેરી ચિહ્નો, સ્ટોર્સ અને પાર્ક કરેલી કાર.
1
NIv2
task438_eng_guj_parallel_corpus_en_gu_translation
zs_opt
[ -0.18750247359275818, 0.2557376027107239, 0.5186498761177063, -0.39118337631225586, 0.542837381362915, -0.12453807145357132, 0.24088288843631744, -0.0536225251853466, 0.38384172320365906, -0.40844833850860596, -0.4986945688724518, -0.012258145958185196, -0.6380628347396851, 0.0113276001065...
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi. Let me give you an example: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers. The answer to this example can be: خوب ، من چیزی ن...
و در آخر از همه ، دادگاه به اتفاق آرا رای داد که خانواده شوهر او باید برای کاری که با او کرده اند دستگیر شوند ، و برادر نامرد او نیز برای فروختن او دستگیر شد ــــ (تشویق تماشاگران) ـــ و آنها موافقت کردند که سحر حق قانونی برای گرفتن خسارت مدنی را داراست.
8
NIv2
task1103_ted_translation_es_fa
fs_opt
[ -0.3181593716144562, 0.5251703262329102, -0.2064117193222046, 0.1285964548587799, -0.28742027282714844, -0.22565770149230957, 0.49294236302375793, 0.5910727977752686, -0.3235325813293457, -0.3468250632286072, -0.33673620223999023, 0.3977050185203552, -0.3437098264694214, -0.451651453971862...
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th...
What are the names of students who have taken Statistics courses?
9
NIv2
task184_break_generate_question
fs_opt
[ 0.9012409448623657, -0.07506726682186127, -0.6500192284584045, 0.3433186709880829, 0.5322035551071167, -0.3583093285560608, 0.9263983964920044, 0.32774513959884644, -0.6507712602615356, 0.6193366050720215, -0.26699838042259216, 0.546549916267395, 0.0857725739479065, 0.32325005531311035, ...
Given the task definition, example input & output, solve the new input case. In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify...
geopolitical
1
NIv2
task1493_bengali_geopolitical_hate_speech_binary_classification
fs_opt
[ -0.8601299524307251, 0.2586241066455841, 0.40960371494293213, 0.47600823640823364, -0.5312663912773132, -0.27419063448905945, 0.09583127498626709, 0.4633294343948364, 0.10294237732887268, -0.11403584480285645, -0.3666118383407593, -0.4982832670211792, -0.05240195244550705, -0.6289973258972...
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: Gates might even be planning a television ...
Il se pourrait même que Gates prépare un documentaire télévisé sur profilage racial.
2
NIv2
task1371_newscomm_translation
zs_opt
[ -0.16864131391048431, -0.21733517944812775, 0.2653764486312866, 0.3955610394477844, 0.34654849767684937, -0.011671679094433784, 0.2369372844696045, 0.3762853741645813, 0.5779558420181274, 0.1450781524181366, -0.6464127898216248, 0.05303903669118881, -0.06582242250442505, 0.2906177639961242...
In this task, you are given dvd product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative. Let me give you an example: Endlich . Endlich erscheint Staffel 2 auf DVD. Habe ewig darauf ...
NEG
8
NIv2
task480_cls_german_dvd_classification
fs_opt
[ -0.26361891627311707, 0.5207608342170715, -0.4206732213497162, 0.263427197933197, -0.07372470200061798, 0.15927782654762268, 1.7403209209442139, 0.9681577086448669, 0.286329448223114, 0.665032148361206, -0.2678372263908386, -0.051073186099529266, -0.11318765580654144, -0.2170598804950714, ...
Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., ...
Sentence 1: Even though PersonX lost more weight than PersonY, _ still ate more sweets overall despite this. Sentence 2: Even though PersonX lost more weight than PersonY, _ still ate fewer sweets overall despite this.
3
NIv2
task030_winogrande_full_person
zs_opt
[ 0.34497547149658203, 0.4882084131240845, -0.0680851861834526, -0.06262253224849701, 0.3026314079761505, -0.23374029994010925, 0.6609957814216614, 0.8673833608627319, -0.09621158242225647, -0.5298460721969604, -0.6358437538146973, -0.2629310190677643, -0.6278988122940063, -0.098683774471282...
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese. Let me give you an example: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore. The answer ...
Estes são os rapazes dos elétricos, o monopólio dos transportes existente na época.
8
NIv2
task1255_ted_translation_it_pt
fs_opt
[ -0.3561779856681824, 1.0988829135894775, 0.1592857539653778, -0.06208448112010956, -0.330849289894104, -0.31886768341064453, -0.8377200365066528, 1.974621295928955, -0.33671799302101135, 0.17620667815208435, -0.6805917620658875, -0.022672168910503387, 0.2031656801700592, -0.194678932428359...
Instructions: In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative. In...
In 1949, Catholic priests OBanion Holden and Bovard Webb are constantly harassed by the Communist Peoples Party at their remote mission outpost in China. Adding to Father OBanions troubles is the missions cook, Siu Lan France Nuyen, an attractive Chinese girl who makes no secret of her love for him. Under the leadershi...
3
NIv2
task103_facts2story_long_text_generation
zs_opt
[ 0.14321769773960114, -0.03136894106864929, -0.6431398391723633, -0.36172178387641907, -0.40542465448379517, -0.12099748849868774, -0.14111870527267456, 0.6093385815620422, 0.1284041702747345, 0.17755226790905, -0.7515839338302612, -0.23518717288970947, 0.1950135976076126, 0.395177841186523...
Given the task definition, example input & output, solve the new input case. In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains inform...
3
1
NIv2
task1541_agnews_classification
fs_opt
[ -0.9123167395591736, 0.5974762439727783, -0.3428073525428772, 0.44015753269195557, 0.2371286153793335, 0.573680579662323, -0.3740842938423157, 1.0937998294830322, -0.11238641291856766, -0.18168754875659943, -0.4432864785194397, 0.41952383518218994, 0.1417013704776764, -0.2896195650100708, ...
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 underst...
The record high in Fairfield in a year is 114°F.
2
NIv2
task1409_dart_text_generation
fs_opt
[ -0.15090715885162354, 0.07656195759773254, -0.9559918642044067, -0.44669219851493835, 0.13058575987815857, -0.2642253041267395, 0.6769741773605347, 0.9880467653274536, -0.4125700891017914, -0.22959259152412415, -0.4353199601173401, 0.16836610436439514, -0.329325407743454, -0.14831824600696...
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential...
NN
5
NIv2
task382_hybridqa_answer_generation
fs_opt
[ 0.6692094802856445, 0.6888573169708252, -0.41097474098205566, 0.5097613334655762, 0.21037524938583374, -0.6286901235580444, 0.9104698896408081, 0.8851137161254883, -0.7759441137313843, -0.3129746913909912, -0.46838170289993286, 0.5975853204727173, -0.645051121711731, 0.17972640693187714, ...
Detailed Instructions: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas. See one example below: Problem: excavator, crane, pelican, hoist, upraise Solution: pelican Explanation: The common category here are wo...
plain
4
NIv2
task142_odd-man-out_classification_no_category
fs_opt
[ 0.14870741963386536, 0.7561587691307068, -0.1143491119146347, -0.11888398230075836, 0.31597888469696045, -0.1168980598449707, 0.45383960008621216, 0.38215938210487366, -0.07135245949029922, -0.4108596742153168, -1.0764230489730835, 0.2765117883682251, -0.8226699829101562, 0.404949069023132...
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided. Q: name[xname], cuisine[Italian], price[less than £20], location[riverside], near[xnear] A:
xname, an Italian restaurant near xnear in the riverside area, serves food for less than £20.
4
NIv2
task1598_nyc_long_text_generation
zs_opt
[ -0.6948834657669067, 0.8227810859680176, -0.6975091695785522, -0.5586667060852051, -0.820020318031311, -0.032654959708452225, 0.9269348382949829, 0.5839920043945312, 0.04138607531785965, -0.7484468817710876, 0.6293216943740845, 0.019640853628516197, -0.5680299401283264, 0.20141005516052246...
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence. തെലുങ്ക്, തമിഴ് സിനിമാ വ്യവസായത്തോടും അതുമായി ബന്ധപ്പെട്ട ആളുകളോടും എനിക്ക് അപേക്ഷിക്കാനുള്ളത് അവിടെ നിക്ഷേപമിറക്കുന്നതിനും, ചലച്ചിത്രങ്ങള്‍ ചിത്രീകരി...
I appeal to the Hindi, Telugu and Tamil Film Industry and people associated with it to definitely think over for investment, shooting of films and establishment of theatres and other resources in Jammu and Kashmir.
0
NIv2
task1022_pib_translation_malayalam_english
zs_opt
[ -0.3619329333305359, 0.5036609172821045, -0.2235558032989502, 0.7999359369277954, -0.04693596065044403, -0.015209854580461979, 0.42098647356033325, 0.45196446776390076, -0.44415608048439026, 0.0669436976313591, 0.9308849573135376, -0.14183911681175232, -1.0793253183364868, 0.16972574591636...
Detailed Instructions: 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. See one example below: Problem: Sentence: 'a white cat on a desk near a computer monitor'. Count the number of vowels in the given sentence. S...
21
4
NIv2
task157_count_vowels_and_consonants
fs_opt
[ 0.365912526845932, 0.6000387668609619, -0.7921122908592224, -0.3511909246444702, 0.23988701403141022, 0.09084862470626831, -0.02658843621611595, 0.9704892039299011, 0.38202157616615295, -0.2655062675476074, 0.24101188778877258, 0.335530549287796, 0.18474194407463074, -0.20962028205394745, ...
You are given a question and some answer options (associated with "A", "B", "C", "D"). You should choose the correct answer based on commonsense knowledge. Avoid answering questions based on associations, the set of answers are chosen deliberately to capture common sense beyond associations. Do not generate anything el...
B
1
NIv2
task073_commonsenseqa_answer_generation
fs_opt
[ 0.41060078144073486, 0.26043450832366943, -0.363012433052063, 0.039227429777383804, -0.16639134287834167, -0.9368389844894409, 0.48383426666259766, 0.7151516675949097, -0.12935499846935272, 0.07285743951797485, -0.714126467704773, 0.16409099102020264, -0.30394038558006287, -0.7335426807403...
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no". [EX Q]: Abstract: Recent population-based studies have suggested that migraine is a risk factor for the development of infarct-like lesio...
yes
6
NIv2
task1587_scifact_classification
fs_opt
[ 0.6280693411827087, -0.02724923938512802, 0.015105072408914566, 0.40984439849853516, 0.2921142280101776, -0.43131405115127563, 0.9006239175796509, 0.9805503487586975, -0.0740782767534256, 0.42319315671920776, -0.20764456689357758, -0.1310400664806366, -0.12576155364513397, 0.19152978062629...
Definition: Given a text, write a compressed version of it in a single sentence. Input: Our annual report highlights a few of our successes during the past year and the partners who helped make them happen. If you're not already a partner and want to be a part of our future, we'd like to talk to you. Output:
If you would like to share in our successes in the future, please consider becoming a partner.
2
NIv2
task1340_msr_text_compression_compression
zs_opt
[ -0.6915459632873535, 1.1613664627075195, -0.2661280035972595, -0.5453105568885803, 0.2085835039615631, -0.6575723886489868, 0.21990171074867249, 0.08462592959403992, 0.3483162820339203, 0.6884450912475586, -0.670337438583374, -0.13616876304149628, -0.5610916018486023, 0.174465149641037, ...
You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Statement: सात साल बाद, अमेरिकी सरकार स्टीव रोजर्स में एक स्वयंसेवक चुनती है, जो पोलियो के कारण कद में छोटा रह गया ...
अरबियन
0
NIv2
task947_wiki_cloze_hi_multiple_choice_question_answering
fs_opt
[ 0.4434944987297058, 0.39498817920684814, -0.017537269741296768, 0.9767247438430786, 0.174247607588768, -0.3613652288913727, 0.05849987640976906, 1.0910404920578003, 0.00022130482830107212, 0.08249722421169281, -0.36588752269744873, 0.4268360733985901, 0.003949359524995089, -0.1208609715104...
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 question and you have to paraphrase the question to create the output question while retaining the meaning of the original question. What can one do after MBBS? Solution:...
What are the best songs to listen to while high?
0
NIv2
task1345_glue_qqp_question_paraprashing
fs_opt
[ -0.047577664256095886, 0.8562715649604797, -0.5999526977539062, 0.03453383967280388, -0.4137517213821411, 0.04080049321055412, 1.0105133056640625, 0.14262479543685913, 0.3905971348285675, 0.17150060832500458, -0.41427165269851685, -0.277365505695343, 0.06564676761627197, 0.4230266511440277...
Q: This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence...
[['The Cricketers', 'eatType', 'coffee shop'], ['The Cricketers', 'food', 'Fast food'], ['The Cricketers', 'customer rating', '3 out of 5'], ['The Cricketers', 'familyFriendly', 'yes'], ['The Cricketers', 'near', 'The Portland Arms']]
7
NIv2
task1410_dart_relationship_extraction
zs_opt
[ -0.1172063872218132, 0.06004074588418007, -1.029603362083435, -0.5546924471855164, -0.32838404178619385, -0.046200186014175415, 1.0572524070739746, -0.17220348119735718, 0.658454179763794, -0.6728124022483826, -0.6719570755958557, 0.09402555972337723, -0.36759525537490845, -0.0150261102244...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentim...
POS
0
NIv2
task476_cls_english_books_classification
fs_opt
[ -0.23250482976436615, 0.6234031915664673, -0.30315691232681274, 0.11714795231819153, 0.45515888929367065, -0.8232177495956421, 0.8408735990524292, -0.023498980328440666, 0.1932395100593567, 0.4852362275123596, -0.8209948539733887, -0.05262327194213867, -0.6824044585227966, -0.4891462326049...
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact. Tagalog sentence: Para sa mga taong pinalilipas lamang ang kanilang oras na walang ginagawa, nabanggit niyang “ang itinuturing na kriminal sa buhay ay ang katamaran at kawalan ng ginaga...
For those people who just let their time pass by doing nothing, the Master mentioned, “what is considered as a crime in life is being indolent and idle. If a person does nothing, he will not be able to develop his wisdom.”
0
NIv2
task451_opus_paracrawl_tl_en_translation
zs_opt
[ 0.11611583828926086, 0.601599395275116, 0.06281135976314545, -0.8979086875915527, 0.001935269683599472, 0.35159483551979065, 0.379250168800354, 0.5274144411087036, -0.25645264983177185, 0.2885071039199829, -0.28008925914764404, -0.24062928557395935, -0.9854707717895508, -0.2310098558664322...
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related...
0
8
NIv2
task1541_agnews_classification
fs_opt
[ -0.9900987148284912, 0.9079009294509888, -0.27557575702667236, 0.5531705617904663, -0.0650067925453186, -0.26317211985588074, -0.13028013706207275, 0.7286831140518188, 0.058238644152879715, -0.31211286783218384, -0.6835247278213501, 0.28958624601364136, -0.13019731640815735, -0.22757354378...
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no". Review: To begin with, I loved göta kanal 1, it had a lot of class...
yes
0
NIv2
task285_imdb_answer_generation
zs_opt
[ -0.49051809310913086, -0.2513442039489746, 0.21637004613876343, -0.22950759530067444, 0.6595045328140259, -0.5383731722831726, 0.36151552200317383, 0.8597095608711243, 0.05674583092331886, -0.15789823234081268, -0.28154122829437256, -0.2172481119632721, -0.5381382703781128, -0.245016053318...
Detailed Instructions: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False". Q: Context: Skylar s...
True
9
NIv2
task384_socialiqa_question_classification
zs_opt
[ -0.4493076205253601, 0.30468282103538513, -0.08953768759965897, -0.618888795375824, -0.2868305444717407, -0.19975006580352783, 0.7730408906936646, 0.6160895228385925, 1.1608233451843262, 0.2779093086719513, -0.024837568402290344, 0.3737177848815918, -0.733887255191803, 0.03653453290462494,...
Detailed Instructions: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not...
Where did Rio spend time in prison?
9
NIv2
task193_duorc_question_generation
zs_opt
[ 0.6711844205856323, 0.3197075128555298, -0.6180437803268433, -0.4908161759376526, -0.270264208316803, 0.6545418500900269, 0.5838708877563477, 1.299940586090088, -0.1837020218372345, -0.23455600440502167, -0.3799203932285309, 0.1792977899312973, -0.42598986625671387, 0.28059297800064087, ...
Definition: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (...
Does proteomics of the red blood cell carbonylome during blood banking of erythrocyte concentrate?
2
NIv2
task847_pubmedqa_question_generation
zs_opt
[ 1.0970396995544434, -0.1651291847229004, -0.2025890052318573, 0.36375266313552856, 0.07968710362911224, -0.4422970712184906, 0.15789753198623657, 1.250123143196106, 0.284524142742157, 0.006827057339251041, -0.3453361392021179, -0.376848965883255, -0.28611528873443604, 0.3597124218940735, ...
Teacher: You are given a sentence in English. Your job is to translate the English sentence into Persian. Teacher: Now, understand the problem? If you are still confused, see the following example: In the southwestern part of Nigeria, the plant is known as Gbe'borun. Solution: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe...
آنها با یکدیگر غذای خود را پرورش می دهند.
2
NIv2
task1093_ted_translation_en_fa
fs_opt
[ -0.4859711527824402, 0.16994811594486237, 0.20284034311771393, -0.3415719270706177, -0.11660315841436386, -0.7921220064163208, 0.9669440984725952, 0.2704804241657257, -0.16899427771568298, 0.18635448813438416, -0.8827837705612183, 0.06643575429916382, -1.0739731788635254, 0.310850292444229...
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no". Review: A surprising misfire from the usually reliable Larry Cohen...
yes
0
NIv2
task285_imdb_answer_generation
zs_opt
[ -1.1477100849151611, 0.2694178521633148, 0.3706395626068115, -0.12115797400474548, 0.10848153382539749, -0.4483861029148102, 0.29871079325675964, 0.5490114688873291, -0.11625009775161743, 0.10119594633579254, -0.06242642551660538, 0.010025124996900558, -0.5448108911514282, -0.1426949799060...
You will be given a definition of a task first, then some input of the task. In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesi...
وقتی جوانتر بود گرایش و انرژی بیشتری برای انجام کارهای هنری داشت.
1
NIv2
task464_parsinlu_entailment_sentence_generation
zs_opt
[ -0.9161250591278076, 0.4969036877155304, 0.1749747097492218, -0.1292283684015274, -0.23661768436431885, -0.17447608709335327, 0.5675979256629944, 0.34771814942359924, 0.19082388281822205, -0.3507888913154602, -0.6285988688468933, 0.3222827613353729, -0.29033362865448, 0.2404598593711853, ...
Detailed Instructions: Given a sentence in the English language, translate it into the Nepali language. Q: Text: Performing rituals based on the Hindu natal chart can remove any astrological negativity. A:
जन्मकुण्डलीको आधारमा कुण्डली पूजा गरी ग्रह नक्षत्रबाट हुने दोष पन्छाइन्छ ।
9
NIv2
task1514_flores_translation_entone
zs_opt
[ -0.6237618327140808, 0.21894167363643646, -0.40939176082611084, 0.533872127532959, -0.46566319465637207, -1.3987847566604614, 0.6156793236732483, -0.22921764850616455, 0.18132378160953522, -0.7190325260162354, -0.46213823556900024, 0.6126003861427307, -0.7572832107543945, 0.481187015771865...
You will be given a definition of a task first, then some input of the task. A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence. আমরা সবাই নতুন উদ্যোগ, নতুন উৎসাহ, নতুন আশা ও সংকল্প নিয়ে অগ্রসর হই এবং দেশও...
हम सब नए जोश, नए उत्साह, नए उमंग और नए संकल्प के साथ आगे बढ़ें, देश को भी आगे बढाए।
1
NIv2
task1009_pib_translation_bengali_hindi
zs_opt
[ -0.7082183361053467, 0.7209422588348389, 0.046809762716293335, 0.029690811410546303, -0.5499683618545532, -0.7792345285415649, 0.51334547996521, 0.025874529033899307, 0.1498795449733734, -0.34031495451927185, -0.8278710246086121, -0.04544375464320183, -0.1953565776348114, 0.794725239276886...
Given the task definition and input, reply with output. A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence. 2018 ല്‍ നമ്മുടെ വ്യാപാരം 21.
2018ம் ஆண்டில் மட்டும் நமது வர்த்தக மதிப்பீடு 21.
5
NIv2
task999_pib_translation_malayalam_tamil
zs_opt
[ -0.5528243184089661, 1.2179352045059204, 0.7437871694564819, -0.303069531917572, 0.14719943702220917, -0.7707891464233398, -0.1904093474149704, 0.13774283230304718, -0.2453819066286087, 0.23016026616096497, -0.7193064093589783, 0.41304171085357666, -0.7225437164306641, -0.12330285459756851...
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...
Positive
0
NIv2
task421_persent_sentence_sentiment_classification
zs_opt
[ -0.7911365628242493, -0.13507407903671265, 0.28544750809669495, -0.18058845400810242, -0.3400513529777527, -0.5918744802474976, 1.5206388235092163, 0.19722868502140045, 1.0131499767303467, 0.4849582314491272, -0.313576877117157, 0.44014453887939453, -0.8362400531768799, -0.6374371647834778...
Definition: 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: claim: Scotland should cede from the union. ...
undermine
2
NIv2
task738_perspectrum_classification
zs_opt
[ 0.2810690999031067, 0.7163512706756592, 0.273379921913147, -0.6360725164413452, -0.10704833269119263, -1.0100347995758057, 0.8094462156295776, 0.364452987909317, 0.4769565463066101, 0.16113844513893127, -0.16122877597808838, 0.12765078246593475, -0.23269285261631012, 0.49325332045555115, ...
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence. Q: Sentence: 'a youn...
Yes
4
NIv2
task114_is_the_given_word_longest
zs_opt
[ 0.2993219494819641, 0.3974716067314148, -0.19126276671886444, 0.1579442173242569, -0.08550819754600525, -0.7833322286605835, 0.19142992794513702, 0.7479172348976135, 0.5541391372680664, -0.3216624855995178, -0.40986159443855286, 0.19592685997486115, -0.07859866321086884, -0.382025003433227...
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. Q: પરંતુ આજે દુનિયામાંથી એક જ વાત આવી રહી છે કે રીફોર્મ (સુધારા), પરફોર્મ (કામગીરી), ટ્રાન્સફોર્મ (પરિવર્તન), એક પછી એક નીતિ વિષયક સમયબદ્ધ નિર્ણયોનો સિ...
The aim is to work together to develop a mutually beneficial relationship in the best interest of ICAI members, students and their organizations. ****
4
NIv2
task1080_pib_translation_gujarati_english
fs_opt
[ -0.37874293327331543, 0.2766065001487732, 0.017372187227010727, 0.18913984298706055, -0.46372976899147034, -1.0644065141677856, -0.1722983717918396, 1.2710040807724, -0.343473881483078, 0.1316172033548355, -0.8857972621917725, 0.0029183756560087204, -0.6368600726127625, 0.5676622986793518,...
Teacher:Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words. Teacher: Now, understand the problem? Solve this instance: great product. great price. i had an old eide reader and was needing a newer docking station that could read sata. seriously, this worked bet...
great product. great price
6
NIv2
task1342_amazon_us_reviews_title
zs_opt
[ 0.06755873560905457, -0.11021874099969864, 0.20585349202156067, -0.6872241497039795, 0.09937647730112076, -0.5119426250457764, 0.9077402353286743, 0.561454176902771, 0.420405775308609, 0.7009915113449097, 0.32609128952026367, 0.23052029311656952, -0.5840258002281189, -0.7845014333724976, ...
TASK DEFINITION: In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page) PR...
Fact1: Chords with three notes are referred to as triads. Fact2: Organized crime syndicates in Asia are often referred to as triads.
8
NIv2
task169_strategyqa_sentence_generation
fs_opt
[ 0.3659703731536865, 0.1049036830663681, -0.35833603143692017, 0.09908007830381393, 0.5468115210533142, -0.7792459726333618, -0.30267322063446045, 0.5847557783126831, -0.13319310545921326, 0.17715395987033844, 0.26444560289382935, 0.03657759726047516, -0.5793368816375732, -0.517205238342285...
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic. Example: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار گیرد. Example so...
Solution: وكنت أقود السيارة إلى المنزل في أحد الأيام ، وتلقيت مكالمة من صديق الزوج ، إتصل بي لأنه كان محبطاً لما يجري لصديقه.
5
NIv2
task1268_ted_translation_fa_ar
fs_opt
[ -0.7059540748596191, 0.3254023790359497, -0.6800328493118286, -0.7025802135467529, -0.1508268415927887, -0.3313657343387604, 1.337262749671936, -0.25159990787506104, -0.09482976794242859, 0.13489380478858948, -1.093227744102478, 0.11090026795864105, -0.22981640696525574, 0.2909139096736908...
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external k...
Is "Crows" likely to raise a ruckus as a culty DVD title in the West?
4
NIv2
task193_duorc_question_generation
zs_opt
[ -0.03526097163558006, -0.41771984100341797, -0.10960301756858826, 0.26305723190307617, -0.07465510070323944, -0.1188037320971489, 0.1093255877494812, -0.08654573559761047, -0.22265146672725677, -0.31182822585105896, -0.41742491722106934, -0.17467689514160156, -0.4862687587738037, 0.3328471...
Detailed Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Y...
No
8
NIv2
task227_clariq_classification
zs_opt
[ -0.3625960946083069, -0.0504801943898201, -0.08051012456417084, 0.6631823778152466, -0.3362455368041992, -0.6654508113861084, 0.5514419078826904, -0.044389575719833374, 0.28885453939437866, 0.3148720860481262, 0.36018216609954834, -0.2233337014913559, -0.7103068232536316, 0.049705922603607...
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal. Example Input: SUMO-specific protease 1 (SENP1) removes SUMO from proteins and plays important roles ...
0
3
NIv2
task848_pubmedqa_classification
fs_opt
[ 0.6322745680809021, 0.47085657715797424, -0.09346958249807358, -0.07283342629671097, 0.9561091661453247, -0.640659749507904, 0.41123080253601074, 1.0448170900344849, -0.2331898808479309, 0.2977898120880127, -0.27362143993377686, -0.39438730478286743, -0.4839896559715271, -0.052501216530799...
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian. Teacher: Now, understand the problem? Solve this instance: אז חייבים להפוך את זה למקצוע. Student:
Ti ritrovi a dover guadagnare disegnando fumetti.
6
NIv2
task1111_ted_translation_he_it
zs_opt
[ -0.6223831176757812, 0.6604093313217163, 0.2814122140407562, -0.30633118748664856, -0.4191875457763672, -0.17498070001602173, 0.3741278052330017, 0.5518059730529785, 0.44744187593460083, -0.7330918312072754, -0.35705041885375977, -0.03499166667461395, -0.1623259037733078, -0.19569903612136...
Teacher: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer wit...
after sitting down in the restaurant
2
NIv2
task165_mcscript_question_answering_commonsense
fs_opt
[ 0.7650814652442932, 0.5077295303344727, -0.8378458619117737, 0.0757392942905426, -0.0868721753358841, 0.25395891070365906, 1.128079891204834, 0.9642316102981567, -0.12348818778991699, 0.099523164331913, -0.3319926857948303, 0.0073532783426344395, -0.30613210797309875, 0.05897556245326996, ...
Detailed Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Y...
No
9
NIv2
task227_clariq_classification
zs_opt
[ -0.1430262327194214, -0.018498443067073822, 0.39627066254615784, 0.16060566902160645, -0.5381810665130615, -1.4689209461212158, 0.6388938426971436, 0.38314324617385864, -0.1679786741733551, 0.44596827030181885, 0.18233659863471985, 0.27952954173088074, -0.22122155129909515, 0.0799867585301...
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 even 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 even numbers in an inner list you sho...
[-756, -1700, -64400, 12672]
4
NIv2
task851_synthetic_multiply_evens
zs_opt
[ -0.32707542181015015, 0.9257588386535645, -0.21232813596725464, -0.7587118148803711, -0.00912591814994812, -0.57725989818573, 1.3189172744750977, 0.00004999816883355379, 0.3150171935558319, -0.06812291592359543, -0.33411720395088196, 0.6423399448394775, -0.7685623168945312, -0.048922263085...
Definition: In this task, you are given a sentence in Persian, and your task is to translate it into English. Input: تنها از برج بالا رفته بود و آن‌ها را تنها گذاشته بود در آفتاب تمشک بچینند. Output:
She had gone up into the tower alone and left them blackberrying in the sun.
2
NIv2
task660_mizan_fa_en_translation
zs_opt
[ 0.8103713989257812, 0.8127464056015015, -0.2925809919834137, -0.06958292424678802, -0.40042734146118164, -0.980437159538269, 0.994909405708313, 0.3880157768726349, 0.013087575323879719, -0.35649147629737854, -1.2798842191696167, 0.09421122074127197, -0.464686781167984, 0.5386101007461548, ...
Generate a correct and concise answer for the question based on the words in the context. Context : Bartolomeo Pagano (27 September 1878 - 24 June 1947) was an Italian motion picture actor. Question : What was the death date of Bartolomeo Pagano? 24 June 1947 Context : Broken Walrus II, is a public sculpture by Amer...
Frederik, Crown Prince of Denmark
0
NIv2
task1327_qa_zre_answer_generation_from_question
fs_opt
[ 0.6180275678634644, 0.7333986163139343, -0.35322725772857666, -0.012822559103369713, -0.35619086027145386, -0.5159382820129395, 0.6304423809051514, 0.5013159513473511, -0.4427090883255005, -0.29934364557266235, 0.10940305888652802, 0.7439086437225342, 0.21994030475616455, 0.270205140113830...
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is co...
Option 1
8
NIv2
task065_timetravel_consistent_sentence_classification
zs_opt
[ -0.44618532061576843, 0.24853862822055817, 0.3178318738937378, 0.13044041395187378, -0.04851914197206497, -0.5226072072982788, 0.5681054592132568, 1.3966140747070312, -0.23198124766349792, 0.09239831566810608, -0.020299427211284637, -0.8070703744888306, -0.4385766088962555, -0.153496891260...
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ...
Solution: Sentence 1: PersonX arrived at the hotel well after PersonY arrived, because _ was stuck in rush hour traffic for hours. Sentence 2: PersonX arrived at the hotel well after PersonY arrived, because _ did not get stuck in rush hour traffic.
5
NIv2
task030_winogrande_full_person
fs_opt
[ 0.3730456829071045, 0.23806925117969513, -0.09588725864887238, -0.25756698846817017, 0.5083568692207336, -0.5296229124069214, 0.7740106582641602, 0.8371458053588867, -0.1124984472990036, -0.6312460899353027, -0.5180569887161255, -0.30403560400009155, -0.6246435642242432, 0.2098380923271179...