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 |
|---|---|---|---|---|---|---|
Definition: You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Input: T... | broom | 2 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.1075555682182312,
0.4604101777076721,
-0.015145710669457912,
-0.0992635190486908,
0.005511418450623751,
-0.4098646640777588,
0.0050095804035663605,
0.5902965068817139,
0.03638477250933647,
-0.10631458461284637,
0.10471592843532562,
0.09805916994810104,
-0.023678865283727646,
-0.57947570... |
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate... | D
| 7 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
0.38741955161094666,
0.06461118161678314,
-0.25673365592956543,
-0.3794659376144409,
0.56352698802948,
-0.48028045892715454,
1.0173256397247314,
0.7805631160736084,
-0.08169300854206085,
0.06826431304216385,
-0.21606436371803284,
0.16001030802726746,
-0.39491674304008484,
-0.33027470111846... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwis... | no | 5 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.18282243609428406,
-0.2054615318775177,
-0.17916446924209595,
0.22345960140228271,
0.47686681151390076,
-0.3370867371559143,
0.212263822555542,
0.4952435791492462,
0.0913919135928154,
-0.3063870072364807,
-0.4784277081489563,
0.14735393226146698,
0.12234481424093246,
0.3355429470539093,... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choi... | ab
| 7 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
0.2425052970647812,
0.030356306582689285,
-0.132529154419899,
-0.21569599211215973,
-0.35362985730171204,
0.09616948664188385,
0.5126785039901733,
0.7955129146575928,
0.06764541566371918,
0.5169824361801147,
-0.451996386051178,
0.05261681601405144,
-0.2988279163837433,
-0.02019258216023445... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
One example: A mosquito stings me
I sting a mosquito... | first | 6 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
0.08124212175607681,
0.536363959312439,
0.11934450268745422,
-0.334879070520401,
-0.45665156841278076,
-0.6483361721038818,
0.4420851171016693,
0.20469343662261963,
0.00974301341921091,
-0.14424632489681244,
-0.5830956697463989,
-0.7566705942153931,
-0.8532565832138062,
-0.389051616191864,... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese 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: The plant will be built on the coast of the Mediterranean ... | ４，５００名の出席者の中には、１８２カ国の政府代表団、ビジネス産業界からの代表、環境組織、研究機関が含まれる。
| 3 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.31776100397109985,
0.5569891929626465,
0.009706322103738785,
-0.5195872783660889,
0.2338646948337555,
0.31667566299438477,
0.3043982684612274,
0.22664788365364075,
-0.13235262036323547,
-0.40401142835617065,
-0.16427190601825714,
0.658564031124115,
-0.5806111693382263,
0.141431242227554... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. 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 classification of each word from the labels (reason) = [NO_DIFF (co... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO... | 7 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.2942744791507721,
-0.12465443462133408,
0.1299760788679123,
-0.4531327188014984,
0.5590530633926392,
-0.5980322360992432,
0.4494622051715851,
0.8371087908744812,
-0.3805729150772095,
0.2642079293727875,
-0.06834659725427628,
0.07026365399360657,
-0.2891562283039093,
-0.07186238467693329,... |
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: Consider Input: The number of UG medical seats have been increased by 30 in the last four and half years.
Output: છેલ્લાં સાડા ચાર વર્ષ અગાઉ સ્... | Output: રવાન્ડાની સત્તાવાર મુલાકાત દરમિયાન પ્રધાનમંત્રીનું પ્રેસ નિવેદન
| 2 | NIv2 | task1079_pib_translation_english_gujarati | fs_opt | [
-0.5978707075119019,
0.779082179069519,
0.23378148674964905,
-0.8045608401298523,
0.2350967824459076,
-0.7916122078895569,
0.8121957182884216,
0.003930013161152601,
0.5540924072265625,
-0.801188051700592,
-0.06036262959241867,
1.2539422512054443,
-0.6447402834892273,
-0.028651732951402664,... |
Instructions: You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must n... | Jason prefers solo trips over trips with friends, because the _ are better for focusing on himself. | 3 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.6436365842819214,
0.4746801555156708,
0.04874509200453758,
0.17433100938796997,
0.45792701840400696,
-0.73883455991745,
0.4713447093963623,
1.0190269947052002,
-0.6465240716934204,
-0.42643457651138306,
-0.2892921566963196,
0.2709975242614746,
-0.24730335175991058,
-0.1136794239282608,
... |
You will be given a definition of a task first, then some input of the task.
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 langu... | English | 1 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.24561147391796112,
0.4765055179595947,
0.4946679472923279,
0.22175046801567078,
0.017730383202433586,
-0.4529258906841278,
0.1150786280632019,
0.30730634927749634,
0.047059737145900726,
-0.44552081823349,
-0.030664967373013496,
0.09935948252677917,
-0.14275598526000977,
-0.1017331704497... |
Q: Translate from English to Hindi.
You must be hungry.
A: | तुम भूखी होगी. | 7 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
0.34325072169303894,
1.1643950939178467,
0.02482128143310547,
-1.0107792615890503,
-0.823998212814331,
-0.4122864305973053,
0.12055068463087082,
-0.09516465663909912,
-0.6299765110015869,
-0.21894584596157074,
0.09727311134338379,
-0.7755280137062073,
-0.9798300266265869,
0.273950725793838... |
A text is given in Marathi. Translate it from the Marathi language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: आणि कुठे ना कुठे भेटण्याचा बिंदू ठरवावा लागेल.
A: | சமரசத்தின் மூலம் இணைப்பு புள்ளியை முடிவு செய்ய வேண்டும். | 4 | NIv2 | task1083_pib_translation_marathi_tamil | zs_opt | [
0.5940585732460022,
0.3359072208404541,
0.30468258261680603,
-0.19122204184532166,
0.10022033751010895,
-1.1335684061050415,
0.4781149625778198,
-0.4188951849937439,
-0.18948550522327423,
0.1313086450099945,
-0.26501330733299255,
-0.3097938299179077,
-0.43200409412384033,
0.708790421485900... |
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 Polish.
Entonces, ¿qué tenemos que hacer? Tenemos que dar a nuestros estudiantes el gusto por las fronteras, por lo que está fuera de esa circunferencia, por lo que está fuera... | Co trzeba zrobić? Musimy nauczyć studentów szukania poza granicami, poza faktami. | 5 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.7441812753677368,
0.965795636177063,
0.22152139246463776,
-0.05375441536307335,
-0.20121335983276367,
-0.37917274236679077,
0.23174817860126495,
0.03794914484024048,
0.07341565191745758,
-0.3417420983314514,
-0.285520076751709,
0.7313235998153687,
-0.5558667182922363,
-0.068943321704864... |
You are given a sentence from a conversation between a human and a virtual assistant. Your task is to classify the sentence into one of the following five action categories - INFORM, INFORM_INTENT, OFFER, REQUEST, REQUEST_ALTS. If the sentence is about informing something, generate 'INFORM'. If it is about requesting s... | Output: INFORM_INTENT
| 2 | NIv2 | task880_schema_guided_dstc8_classification | fs_opt | [
0.14416638016700745,
0.3413114547729492,
0.4052407145500183,
0.7554647922515869,
0.5099487900733948,
0.06587375700473785,
-0.23478606343269348,
0.6889115571975708,
0.24999505281448364,
0.3494871258735657,
-0.2708449959754944,
-0.45871028304100037,
-0.5924032330513,
0.030521173030138016,
... |
Given the task definition, example input & output, solve the new input case.
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', respectiv... | 0 | 1 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
-0.1366238296031952,
-0.13736656308174133,
0.2758781313896179,
0.24846309423446655,
0.4272317886352539,
-0.30835849046707153,
-0.3422606289386749,
0.39996129274368286,
-0.04017758369445801,
-0.15229761600494385,
-0.1170421689748764,
-0.39346644282341003,
0.10155253112316132,
-0.27785494923... |
Part 1. Definition
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. 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 classification of each word from the labels (rea... | ['NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'STEM_BASED_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO... | 7 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.24795953929424286,
-0.08363073319196701,
-0.07159943878650665,
-0.03646841645240784,
0.7907533049583435,
-0.7034395933151245,
0.5236178636550903,
0.8783411979675293,
-0.1828843355178833,
0.41048890352249146,
0.14653389155864716,
-0.3442344069480896,
-0.48189622163772583,
0.02510214969515... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ... | Fresh coffee grounds and water
| 5 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.9962760210037231,
0.043211936950683594,
-0.8538605570793152,
0.10129442811012268,
0.45977193117141724,
-0.5205363035202026,
0.767747700214386,
1.0874097347259521,
0.3974425792694092,
0.14183226227760315,
-0.0975966677069664,
-0.22603796422481537,
-0.028319988399744034,
-0.260819166898727... |
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
Ex Input:
@p0stca... | Sad
| 1 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
-1.012478232383728,
0.4394562840461731,
0.8977890014648438,
-0.0032201712019741535,
0.1781730353832245,
-1.1729044914245605,
0.5932712554931641,
0.3440951704978943,
0.4306689500808716,
0.779839038848877,
-0.7187942862510681,
-0.10064564645290375,
-0.19667883217334747,
-0.21001052856445312,... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Example: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Output: 父が医師だったので父に担当してもらえるという大きな利点... | シルクスクリーン印刷に製本に箱作りに夢中になりました | 1 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.43692445755004883,
0.3809671998023987,
-0.5657391548156738,
0.09697302430868149,
0.23725837469100952,
-0.08473294973373413,
0.15281866490840912,
1.021862506866455,
0.04555162787437439,
-0.1713796705007553,
-0.5829249024391174,
0.6477495431900024,
-0.25231724977493286,
-0.119688794016838... |
Q: Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 王立協会は、「しかし、若者が科学の授業の中で特殊創造説を取り上げるならば、先生はなぜ進化論が完全な科学理論であるか、そして、特殊創造説が、どんな形であれ、なぜ科学的でないかを説明する... | Yes | 7 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-1.2481718063354492,
-0.2976873517036438,
0.5481364727020264,
-0.3119766116142273,
-0.14315560460090637,
-1.0268781185150146,
0.2212560921907425,
0.468993604183197,
-0.4066581428050995,
-0.5842363834381104,
-0.2567877769470215,
-0.09291525930166245,
-0.7257934808731079,
0.4387640953063965,... |
Teacher: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. Yo... | Yes | 2 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.05592366307973862,
-0.21619492769241333,
0.40123236179351807,
-0.060280945152044296,
-0.06481730192899704,
-0.833847165107727,
0.6889673471450806,
0.9368008375167847,
-0.44940245151519775,
-0.2307460755109787,
-0.16224688291549683,
-0.21983090043067932,
-0.7509994506835938,
-0.0682694986... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contain... | Non-obscene | 4 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.15620556473731995,
0.07801773399114609,
0.28888243436813354,
0.14212554693222046,
0.46696335077285767,
-0.30484628677368164,
0.38691437244415283,
1.108355164527893,
0.34112149477005005,
0.5011402368545532,
-0.38313210010528564,
0.10218502581119537,
-0.13131824135780334,
-0.8135169744491... |
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'.
Ex Input:
Problem: 82 a 7 + 6 b ____ 190 if a and b represent positive single digits in the correctly worked computation above , what is the value of a + 2 b ?
Options: a ) 2 , b... | e
| 1 | NIv2 | task1422_mathqa_physics | fs_opt | [
-0.10051974654197693,
0.23724636435508728,
-0.1278073638677597,
0.23189806938171387,
-0.2895311415195465,
0.17221227288246155,
0.34611082077026367,
0.7789205312728882,
-0.31318041682243347,
-0.20661099255084991,
-0.688220739364624,
0.0899878740310669,
0.6659901142120361,
-0.603234052658081... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully... | Yes. | 1 | NIv2 | task057_multirc_classify_incorrect_answer | zs_opt | [
0.7460031509399414,
0.2973414659500122,
0.15151825547218323,
0.04964043200016022,
0.44278180599212646,
-0.2736012041568756,
0.338154673576355,
0.5579644441604614,
-0.32518523931503296,
0.1304195672273636,
-0.21216464042663574,
0.07457423210144043,
-0.6006622314453125,
0.061778903007507324,... |
Instructions: In this task, you are given dvd product reviews in Japanese 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.
Input: タイトルに疑問 . ￣'μ¨31£￣§3¨a§£-- "¨£" "'¨3¨-''" "'"¨\-£￣-"" 1-¬33¬¶￣-§'a\3§o... | POS | 3 | NIv2 | task486_cls_japanese_dvd_classification | zs_opt | [
-0.5009733438491821,
-0.4030287563800812,
-0.28425517678260803,
-0.16991335153579712,
0.1453445851802826,
-0.11130236834287643,
1.7128090858459473,
-0.2251681238412857,
0.026295417919754982,
0.34287938475608826,
-0.5729360580444336,
-0.5053839683532715,
-0.40453970432281494,
-0.07368341088... |
Detailed Instructions: In this task your given two statements in Italian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: Mi sono punto con la spilla.
Si è format... | effect | 9 | NIv2 | task1173_xcopa_commonsense_cause_effect_it | zs_opt | [
-0.19843608140945435,
0.39617490768432617,
-0.16375631093978882,
-0.49083971977233887,
-0.2237209975719452,
-0.5631909966468811,
0.14967074990272522,
1.362369418144226,
0.4340713918209076,
-0.4967883229255676,
-0.03374546766281128,
0.5452951192855835,
-0.6880216002464294,
0.054533552378416... |
TASK DEFINITION: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
PROBLEM: Jack made me feel excited.
SOLUTION: joy
PROBLEM:... | joy
| 8 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.36865919828414917,
0.26521021127700806,
0.2315601259469986,
-0.720930814743042,
-0.1669600009918213,
-0.09844973683357239,
1.1347378492355347,
0.5663732290267944,
0.36433136463165283,
-0.022720685228705406,
-0.1940126121044159,
-0.3289482593536377,
-0.8440264463424683,
-0.13668474555015... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Problem:And our approach would be, if we could do this, then we could fundamentally address the three issues holding back 3D printing from being a manufacturing process.
Solution: | もしそれができたなら 3Dプリントが本格的な製造プロセスとなることを妨げている ３つの問題を解決できます | 8 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
0.06685337424278259,
-0.08882634341716766,
0.09827877581119537,
-0.3647160530090332,
0.14687979221343994,
-0.29106253385543823,
-0.6335541605949402,
0.415001779794693,
-0.2540931701660156,
0.5404186248779297,
-0.12071998417377472,
-0.24447916448116302,
0.36416152119636536,
0.07198260724544... |
Detailed Instructions: You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given questio... | 1, 8. | 9 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
1.0193800926208496,
0.647815465927124,
-0.5672968626022339,
-0.22342006862163544,
0.6241409778594971,
-0.6099867820739746,
0.1167261004447937,
1.0822862386703491,
0.22270643711090088,
0.4528493285179138,
-0.5366789102554321,
0.3489883542060852,
-0.6071615815162659,
0.22664545476436615,
-... |
Given the task definition and input, reply with output. 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 listi... | #1 return timezones
#2 return #1 of the state of Texas
#3 return #2 of Strathmore Airport and its environs | 5 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.8652939796447754,
-0.12188876420259476,
-0.6729827523231506,
0.4395034909248352,
0.08107049763202667,
-0.10998496413230896,
1.053659200668335,
0.20982980728149414,
-0.18755200505256653,
0.20877595245838165,
-0.613406777381897,
0.2319290041923523,
-0.027252571657299995,
0.3428107798099518... |
Part 1. Definition
In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
Part 2. Example
North Willingham is a village and civil parish in the ... | Square Enix Holdings Co., Ltd. 株式会社スクウェア・エニックス・ホールディングス , Kabushiki gaisha Sukuwea Enikkusu Hōrudingusu is a Japanese video game developer, publisher, and distribution company that is best known for its roleplaying video game franchises, which include Final Fantasy, Dragon Quest, and Kingdom Hearts. | 7 | NIv2 | task192_hotpotqa_sentence_generation | fs_opt | [
-0.14612963795661926,
0.18422183394432068,
0.25252267718315125,
-0.33482587337493896,
0.002138577401638031,
-0.1704246997833252,
-0.2937777042388916,
0.5107190608978271,
-0.1529894471168518,
-0.22903545200824738,
0.33464065194129944,
0.3364546000957489,
-0.5181252360343933,
-0.560875415802... |
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, answer with "agai... | for | 0 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
0.4233396649360657,
0.8363591432571411,
-0.783925473690033,
0.05031352490186691,
-0.5007050633430481,
-0.5259920954704285,
0.3507068157196045,
0.6959834098815918,
0.3897532522678375,
-0.07301557064056396,
0.3489290475845337,
0.4753165543079376,
-0.42225539684295654,
0.276427686214447,
0.... |
Given the task definition and input, reply with output. Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
He tries to find the source of the noise. He
| steps drunkenly past him. | 5 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
-0.2843776345252991,
1.1747733354568481,
0.16753363609313965,
0.1099587008357048,
-0.04826691001653671,
0.5558268427848816,
0.36346113681793213,
0.2604248523712158,
0.3032551407814026,
0.1162523627281189,
-0.832705020904541,
-0.11328491568565369,
-0.7777618765830994,
-0.27804940938949585,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
['3415', 'V', 'b', 'y',... | 3415, 22, 2, 25, 4, 345, 3149 | 1 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
0.0054506962187588215,
0.06123148277401924,
0.19623826444149017,
0.06555087864398956,
0.5626963376998901,
-0.12729358673095703,
0.27973175048828125,
0.228863924741745,
0.448803186416626,
-0.39241695404052734,
-0.10435590147972107,
-0.29514461755752563,
0.5769648551940918,
-0.84079736471176... |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used f... | VERB | 0 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.45049506425857544,
0.11537615954875946,
-0.1805098056793213,
0.10523390769958496,
-0.16303911805152893,
-0.6039856672286987,
0.6649004220962524,
0.6415339708328247,
-0.25829535722732544,
-0.04046159237623215,
-0.7674131393432617,
0.006272932514548302,
-0.5082393884658813,
0.2340912073850... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Solution: Original | 5 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.6325229406356812,
0.9871463775634766,
0.39135661721229553,
-0.7502528429031372,
-0.09892643988132477,
-0.3339245319366455,
0.5974315404891968,
0.5051783323287964,
0.4473349452018738,
-0.36058443784713745,
-0.5362454652786255,
-0.4246443510055542,
-1.0281410217285156,
0.00954291224479675... |
Teacher:Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) Ther... | Climate change protesters blocked traffic across London’s government district of Westminster on Monday as they launched two weeks of peaceful civil disobedience to call for urgent action to curb carbon emissions. | 6 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.6253762245178223,
0.5035988688468933,
-0.21209244430065155,
-0.4179019629955292,
-0.1620543897151947,
-1.3008613586425781,
-0.2972525656223297,
0.3847925066947937,
-0.06573650240898132,
0.19056159257888794,
-0.2161102592945099,
1.135819435119629,
-0.8297646045684814,
0.027470657601952553... |
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in se... | Output: No
| 2 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
0.48990392684936523,
0.04850749298930168,
0.5420085787773132,
0.29302507638931274,
0.11880902945995331,
-0.8795391321182251,
-0.5590287446975708,
1.248420238494873,
-0.6455535888671875,
-0.15472137928009033,
-0.2021784782409668,
0.713138222694397,
-0.17147013545036316,
-0.21980172395706177... |
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.
One example: Sentence: 'a white cat on a desk near a computer monitor'. Count the number of vowels in the given sentence.
Solution is here: 16
Explanation: This sent... | 16 | 6 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.2973017692565918,
0.47550004720687866,
-1.0468175411224365,
-0.5720354318618774,
0.24914303421974182,
0.4079093039035797,
-0.3247283101081848,
0.9035904407501221,
0.183074489235878,
-0.08239828050136566,
0.04717297852039337,
0.056624554097652435,
0.18579375743865967,
-0.42008286714553833... |
Teacher:You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Teacher: Now, understand the problem? Solve this instance: CONTEXT: Censura
La representación a... | sociedades de moral más puritana | 6 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
0.5265123844146729,
0.06654668599367142,
-0.26085126399993896,
0.43077850341796875,
0.2673220932483673,
0.003625958226621151,
0.16311398148536682,
0.8242208957672119,
-0.08827267587184906,
0.2630060017108917,
-0.14327606558799744,
-0.03950969874858856,
-0.5352078676223755,
-0.1559450477361... |
Definition: In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Input: Sentence: The baker... | Developer | 2 | NIv2 | task342_winomt_classification_profession_pro | zs_opt | [
-1.3494632244110107,
0.7002528309822083,
-0.2975015640258789,
-0.6215033531188965,
-0.12421324104070663,
0.08243431895971298,
0.1801818162202835,
0.1963704228401184,
0.7295726537704468,
-0.2524082064628601,
-1.6069475412368774,
0.31350892782211304,
-0.5745726823806763,
-0.26316261291503906... |
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... | What country was Cuba a territory of? | 0 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
0.8406699299812317,
0.35582879185676575,
-0.4273465573787689,
-0.7208163738250732,
0.08994722366333008,
-0.30049172043800354,
0.5076775550842285,
1.331695556640625,
-0.03650946170091629,
0.6282320022583008,
-0.10913784801959991,
-0.7546457052230835,
-0.40979695320129395,
-0.069224074482917... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: Aqui ele já está na terceira amostra.
Student: | Tutaj jest już przy trzeciej próbce. | 6 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.3452204465866089,
0.21943220496177673,
-0.08420975506305695,
-0.7224129438400269,
-0.15708298981189728,
-0.333176851272583,
0.7525070309638977,
-0.00499344477429986,
0.5108193159103394,
-0.09858864545822144,
-0.3333887457847595,
0.36029481887817383,
0.13879096508026123,
-0.4631361365318... |
Definition: Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur b... | False | 2 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
-0.2596311867237091,
0.3667287826538086,
-0.8655096292495728,
0.8012607097625732,
-0.042988359928131104,
-0.5903245806694031,
-0.026396071538329124,
0.7505525946617126,
-0.15953311324119568,
-0.06896311044692993,
-0.3712894916534424,
-0.14608429372310638,
0.06817936897277832,
-0.0291894599... |
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Let me give you an example: Context: During ... | Answer: none | 8 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.9242927432060242,
0.7245790958404541,
-0.2066771388053894,
-0.6658512353897095,
-0.0672152191400528,
-0.41932442784309387,
-0.519222617149353,
0.39508265256881714,
0.02335263229906559,
-0.1337732970714569,
-0.12940430641174316,
0.2952105402946472,
-0.963477373123169,
-0.1671303808689117... |
You will be given a definition of a task first, then some input of the task.
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 p... | when telling stories | 1 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
0.29588189721107483,
0.29046493768692017,
-0.23696714639663696,
0.45167088508605957,
-0.21571514010429382,
-0.30956560373306274,
0.9286030530929565,
0.2485189288854599,
-0.023998890072107315,
0.030759606510400772,
-0.22271151840686798,
-0.32238227128982544,
-0.7343558073043823,
-0.07995020... |
Teacher: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 numerical elements in the given list. Return 0 if no numerical element in the list.
Teacher: Now, understand the problem? Solve this instance: ['1665', '7107'... | 8 | 6 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.3683878779411316,
0.2780246138572693,
-0.05422743782401085,
-0.7763376235961914,
-0.33276939392089844,
-0.2571743130683899,
0.5023704171180725,
-0.08999846130609512,
-0.6771553754806519,
0.6708341836929321,
-0.17827185988426208,
-0.07998596876859665,
0.1411738097667694,
-0.2257602363824... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Input: נתן למורים מרשמים שהם יצייתו להם בכיתות, כך שאפילו אם הם לא מבינים מה הם עושים ולא איכפת להם מטובת ילדינו, כל עוד הם יצייתו למרשמים, ילדינו יתחנכו.
Output: | Dajmy nauczycielom skrypty do przerobienia w klasach by nawet gdy nie będą wiedzieli co robią i nie będzie ich obchodzić dobro naszych dzieci, tak długo jak przerabiają skrypt nasze dzieci zostaną wykształcone. | 3 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-0.727042555809021,
0.5499292016029358,
-0.19777007400989532,
-0.12105263769626617,
-0.3683471083641052,
-0.9966610670089722,
0.5409672260284424,
-0.067743219435215,
0.5193931460380554,
-0.5082597732543945,
-0.05879955366253853,
0.09666265547275543,
-0.2656015157699585,
-0.0032464871183037... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Ma... | g, H, D, 777, 2633, 6587 | 1 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.10468633472919464,
0.5747145414352417,
-0.09236298501491547,
-0.48587799072265625,
0.3313726782798767,
-0.33813831210136414,
0.6285969018936157,
0.06795874238014221,
0.046940162777900696,
0.32542091608047485,
-0.8411639928817749,
-0.3950271010398865,
0.3210368752479553,
-0.1627711802721... |
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Input: Consider Input: Context: After consultation with my Generals and military experts, please be advised that the United States Government will n... | Output: given his opinion
| 2 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
0.11605480313301086,
0.7683386206626892,
0.1555081307888031,
0.5587458610534668,
-0.10046443343162537,
-0.35189810395240784,
-0.05129468813538551,
0.64673912525177,
-0.8897168636322021,
0.7155619263648987,
-0.16161547601222992,
-0.332488477230072,
-0.42947685718536377,
0.22941912710666656,... |
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "Fal... | True
| 6 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
-0.29849743843078613,
0.0005179704749025404,
-0.243240624666214,
-0.1686268001794815,
-0.6929476261138916,
-1.08223557472229,
0.65879225730896,
1.2377407550811768,
0.22627386450767517,
0.18797653913497925,
-0.14538432657718658,
-0.13060027360916138,
-0.5302568078041077,
0.10828801989555359... |
Given the task definition and input, reply with output. In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Context: Jordan did not want to be hurt again. Jordan kept friends at a distant... | How would Others feel as a result? | 5 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.3731999397277832,
1.1045801639556885,
0.2370198667049408,
-0.35444989800453186,
-0.32082778215408325,
-0.5620871782302856,
0.6829533576965332,
0.254116415977478,
0.6666914820671082,
0.06825123727321625,
-0.3390461206436157,
0.4000091552734375,
-1.4817454814910889,
0.03446653485298157,
... |
Q: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't ... | Are phospholipase C epsilon 1 ( PLCE1 ) haplotypes associated with increased risk of gastric cancer in Kashmir Valley? | 7 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
-0.2103956639766693,
0.5580852031707764,
-0.30900871753692627,
0.02362135425209999,
0.31930264830589294,
-0.4879818558692932,
0.9181171655654907,
0.7045564651489258,
-0.019035570323467255,
0.29772529006004333,
-0.8239814043045044,
-0.26373040676116943,
-0.6226646900177002,
0.05540480464696... |
Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Example Input: മാറുമറയ്ക്കാൻ... | Not in Expected Language
| 3 | NIv2 | task681_hope_edi_malayalam_text_classification | fs_opt | [
-0.14370989799499512,
0.019869985058903694,
0.2439311444759369,
0.105218805372715,
-0.05040864273905754,
-0.7513976097106934,
-0.5376192331314087,
0.7694741487503052,
-0.43352580070495605,
0.4353286325931549,
-0.6202267408370972,
0.45371347665786743,
0.09065959602594376,
0.0228645540773868... |
Given the task definition and input, reply with output. In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Context_1 : UnIndian is a 2015 Austr... | Goddess, an Australian romantic comedy film staring Magda Szubanski, was released in what year? | 5 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.23143921792507172,
0.3620971739292145,
-0.8080239295959473,
-0.29164862632751465,
0.4885108768939972,
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0.4117065668106079,
1.1358211040496826,
-0.36374640464782715,
-0.17376303672790527,
0.16449761390686035,
0.5468147993087769,
-0.4508762061595917,
-0.05473512411117554... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Input: Consider Input: [[-13, -42, 6, 32, -41], [... | Output: [4688640, 108, 13160, 536640, -63240, -93, -2520]
| 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.267840713262558,
0.08261798322200775,
-0.8980376720428467,
-0.3229832947254181,
0.0045435018837451935,
-0.6350207328796387,
1.2800419330596924,
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-0.6460459232330322,
-0.34615811705589294,
-0.8889738917350769,
0.22698725759983063,
-0.7255407571792603,
-0.428717225790023... |
Detailed Instructions: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, indu... | beauty | 8 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
0.24916349351406097,
-0.10907337069511414,
-0.16394302248954773,
0.3047780692577362,
0.07984325289726257,
0.32630234956741333,
-0.6874276399612427,
0.5683231353759766,
-0.3877311944961548,
0.5390291213989258,
-0.5224661827087402,
0.18089860677719116,
0.1870267689228058,
-1.0512526035308838... |
In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
[EX Q]: এই শহরে সেরা BBQ,গ্রিলস ... তাদের তাদের সেহরি / ইফতারের খাবার পছন্দনীয় ... তাদের খাবার তাজা মনে হচ্ছে ... যদিও আমি তাদের ময়লা পাত্রোতে... | negative
| 6 | NIv2 | task1496_bengali_reviews_sentiment_classification | fs_opt | [
-0.7423481345176697,
0.18333140015602112,
-0.1677427589893341,
0.02121441625058651,
-0.3922334909439087,
-0.4268355965614319,
0.808203935623169,
0.8918952941894531,
0.04696868732571602,
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-0.03309427946805954,
-0.05131357163190842,
-0.1534055769443512,
-0.019510863348841... |
Detailed Instructions: 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 ... | सेक्स जानवरों से आता है. | 9 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.4845234453678131,
0.28494352102279663,
-0.2140902876853943,
0.4140675663948059,
-0.36326390504837036,
-0.6342904567718506,
0.5006257891654968,
0.5374702215194702,
-0.608808159828186,
-0.7041184902191162,
-0.46526116132736206,
0.3112661838531494,
-0.3466731905937195,
0.7033085823059082,
... |
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Context: Riley... | B | 0 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
-0.225987046957016,
0.5030983686447144,
-0.21233147382736206,
0.05701620504260063,
-0.422881156206131,
0.0706305205821991,
0.8253463506698608,
0.4943746328353882,
0.10895080864429474,
-0.1953127533197403,
-0.10027006268501282,
-0.2232787311077118,
0.055986352264881134,
-0.1910947561264038,... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Q: עובד מפעל צעיר שעובד במשמרות לילה, שמצליח להתגנב מרצפת הייצור, שבה דרך אגב מותקנות מצלמות וידאו במעגל סגור, ומוצא פינה שבה באחת עשרה בלילה הוא יכול להתקשר לחברה שלו רק כדי להגיד לילה טוב.
A: | Un giovane operaio di fabbrica che lavora su turni la notte, che riesce a sgattaiolare dal piano, dove ci sono le telecamere a circuito chiuso, e trovare un angolo alle 11 di sera da cui chiamare la sua ragazza e augurarle la buona notte. | 9 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.46053454279899597,
1.0040255784988403,
-0.28398561477661133,
0.43190327286720276,
-0.537419319152832,
-0.06677132844924927,
-1.0772700309753418,
0.7327255606651306,
-0.32634836435317993,
-0.21538130939006805,
-0.4851686656475067,
0.036274299025535583,
-0.27698126435279846,
0.25859344005... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | b | 4 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.7537673115730286,
-0.12034440040588379,
-0.6229698657989502,
0.12013433873653412,
0.047731153666973114,
-0.7405903339385986,
0.7751439809799194,
0.9267566204071045,
-0.3608238101005554,
-0.37780338525772095,
0.0869947224855423,
0.5261616706848145,
-0.6095834374427795,
0.07517403364181519... |
TASK DEFINITION: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way,... | drink with a straw
| 8 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.27141159772872925,
0.796613335609436,
-0.6301037669181824,
0.15303722023963928,
-0.09583854675292969,
-0.11115233600139618,
0.6142940521240234,
0.4365323781967163,
-0.050871070474386215,
0.47121042013168335,
0.010006960481405258,
0.21239188313484192,
-0.2324594259262085,
-0.2920268476009... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You'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 an... | acceptable | 0 | NIv2 | task616_cola_classification | fs_opt | [
-0.43855664134025574,
0.8559441566467285,
0.6879662275314331,
-0.43955761194229126,
0.18798808753490448,
-0.7576327323913574,
0.6817706823348999,
0.34258371591567993,
0.4943069815635681,
0.23683986067771912,
-0.6418790817260742,
-0.33032625913619995,
-0.32892823219299316,
0.050418168306350... |
instruction:
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 ... | Yes
| 9 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.45605993270874023,
-0.013381732627749443,
0.49095743894577026,
-0.11387895047664642,
-0.4857594072818756,
-1.1137067079544067,
0.7946246862411499,
0.9723349213600159,
-0.5551963448524475,
-0.5027416944503784,
-0.4782049357891083,
-0.29145222902297974,
-0.7564327716827393,
-0.151647359132... |
Definition: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Input: Reviews: A very poor seller with NO custo... | True | 2 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.7393035888671875,
-0.19259776175022125,
0.05144625902175903,
-0.8413292765617371,
-0.12441104650497437,
-0.15650048851966858,
0.9541794657707214,
0.8513796329498291,
-0.2568654417991638,
0.5435757040977478,
-0.6637395620346069,
-0.3923226594924927,
-0.17611092329025269,
0.09001798182725... |
Teacher: 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: Ex... | NN | 2 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.46845465898513794,
0.4269658923149109,
-0.586950421333313,
0.3285239338874817,
0.09110884368419647,
-0.9488090872764587,
1.066084384918213,
0.4706314504146576,
-0.3709578216075897,
0.06800264120101929,
-0.04804467409849167,
0.40503990650177,
-0.2650607228279114,
0.17935049533843994,
0.... |
Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny... | Funny | 3 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.3371445834636688,
0.8344161510467529,
0.045707061886787415,
-0.22524158656597137,
-0.5280869603157043,
-0.49441879987716675,
0.1931099146604538,
0.982844352722168,
-0.2567531168460846,
0.05933481827378273,
-0.4774034023284912,
-0.5745900273323059,
-0.45710504055023193,
-0.099360704421997... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence sh... | No | 5 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.6359137296676636,
0.5215113162994385,
0.6184203624725342,
-0.00483743054792285,
-0.01423062663525343,
-0.3580648601055145,
0.3973256051540375,
-0.0970068871974945,
-0.41154056787490845,
-0.3917093873023987,
-0.6441835165023804,
-0.2441481053829193,
-0.8048359155654907,
0.388310015201568... |
Given the task definition and input, reply with output. In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Gaylord "Greg" Focker (Stiller) is preparing to celebrate his... | Answer: At a bar | 5 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.045928701758384705,
0.32077115774154663,
-0.6875011324882507,
-0.10685205459594727,
0.031115923076868057,
-0.17805220186710358,
0.6230183839797974,
0.9201397895812988,
-0.3625900149345398,
-0.31171518564224243,
-0.18336176872253418,
0.3683328926563263,
-0.7837685346603394,
-0.23252050578... |
Given a scientific passage and an answer, generate a question for the given answer.
Q: Passage: One source of indoor air pollution is radon gas. Radon is a radioactive gas that may seep into buildings from rocks underground. Exposure to radon gas may cause lung cancer. Another potential poison in indoor air is carbon m... | Carbon monoxide, radon gas, dust and pet dander are sources of what kind of pollution? | 4 | NIv2 | task594_sciq_question_generation | zs_opt | [
-0.05878206342458725,
1.7448186874389648,
-0.6995986700057983,
-0.611213207244873,
-0.007038903422653675,
-0.39690494537353516,
0.35741639137268066,
1.17759370803833,
-0.12745796144008636,
-0.10068358480930328,
-0.7782771587371826,
0.47346067428588867,
-0.925750195980072,
-0.69853013753890... |
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.
[EX Q]: Sanskrit belongs to the family Indo-European languag... | English
| 6 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
0.2704453468322754,
0.2974562644958496,
0.32060909271240234,
-0.378767192363739,
0.03220157325267792,
-0.6443451046943665,
0.19269734621047974,
0.021216001361608505,
0.16515538096427917,
-0.5678936839103699,
0.3072429895401001,
0.1472950279712677,
-0.5958737730979919,
-0.14178255200386047,... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | Solution: run around left twice after jump right twice | 5 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.2460659146308899,
0.5870878100395203,
-0.4452439844608307,
-0.04924610257148743,
-0.14377586543560028,
0.2945523262023926,
0.10545587539672852,
0.8068447709083557,
-0.3477952480316162,
-0.23995795845985413,
-0.9158175587654114,
-0.4469931721687317,
-0.7566124796867371,
-0.136616140604019... |
Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables... | A crashing sound wakes Alexa up >Causes/Enables> Alexa is frightened | 3 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
0.025814350694417953,
0.8210620880126953,
-0.034734345972537994,
0.34122365713119507,
-0.1578545719385147,
-0.6318415403366089,
0.2111912965774536,
1.2269887924194336,
0.020111097022891045,
0.09361676126718521,
-0.5727381706237793,
0.7262002229690552,
-0.5999337434768677,
-0.67158067226409... |
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: There are only four possible bases that make up each dna nucleotide: adenine, guanine, thymine, and? Answer: cytosine
A: | The only difference between each nucleotide is the identity of the base. There are only four possible bases that make up each DNA nucleotide: adenine (A), guanine (G), thymine (T), and cytosine (C). | 7 | NIv2 | task593_sciq_explanation_generation | zs_opt | [
0.6920037269592285,
0.9371069073677063,
-0.2150055319070816,
0.45487892627716064,
-0.1961677074432373,
-1.163605809211731,
-0.01764863170683384,
0.06807807087898254,
0.4047360420227051,
0.042953938245773315,
-0.14639560878276825,
0.49746355414390564,
-0.9250490665435791,
-0.066785939037799... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Input: Todo o mundo participa.
Output: | 全員が、授業に参加する必要があるのです。 | 3 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
0.04865502938628197,
0.521552324295044,
-0.16346938908100128,
-0.7818211913108826,
-0.10135013610124588,
-0.8439508676528931,
-0.324912965297699,
-0.3153064250946045,
0.18540024757385254,
-0.6614146828651428,
-0.7152423858642578,
0.12502822279930115,
-0.5727828145027161,
0.2731598019599914... |
Given the task definition and input, reply with output. In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Sentence-1: I have a saltwater aquarium with some fish and seahorses.<sep>Sentence-2: I have pets .
| Yes | 5 | NIv2 | task566_circa_classification | zs_opt | [
-0.8572450876235962,
-0.05032826215028763,
-0.08340564370155334,
0.26146623492240906,
-0.33173906803131104,
-0.6172833442687988,
0.09438226372003555,
0.6280336976051331,
-0.29311081767082214,
-0.3454766273498535,
-0.005812234245240688,
0.08152550458908081,
-0.6742809414863586,
-0.308205366... |
Detailed Instructions: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Q: If you're broke or middle-aged, forget about proposing to this Cambodian beauty pageanteer.
Even if she happens to dig frugal, graying foreigners, the marriage woul... | If you're an American looking for a wife and happen to be, well, broke and old, there's no point in looking in Cambodia. Under Cambodian law, it's now illegal for the country's women to marry foreigners who are age 50 and up, or who make less than $30,960 a year. Officials say the intention is to stamp out "fake marria... | 9 | NIv2 | task1291_multi_news_summarization | zs_opt | [
-0.13191238045692444,
0.1646936684846878,
-0.5256540775299072,
-0.8698714971542358,
0.7244943380355835,
0.7200524210929871,
0.3447858989238739,
1.3190720081329346,
-0.5475978851318359,
0.459725022315979,
-0.6680514812469482,
1.160658597946167,
-0.3852192163467407,
0.22921359539031982,
-0... |
A text is given in Oriya. Translate it from the Oriya language to the Telugu language. The translation must not omit or add information to the original sentence.
Let me give you an example: ରେଳବାଇରେ ଇଣ୍ଟରନେଟ ସଂଯୋଗ
The answer to this example can be: అంతర్జాల చుక్కాని
Here is why: Correct translation for given sentence.... | ఈ రెండు కారిడోర్ లు ఒకసారి నిర్మాణం అయ్యాయంటే గనక ఆయా ప్రాంతాలలో ప్రజా రవాణా ను ఎంతో సౌకర్యవంతం గా మార్చివేయగలుగుతాయి. | 8 | NIv2 | task1019_pib_translation_oriya_telugu | fs_opt | [
-1.01035737991333,
1.1324189901351929,
-0.5565059185028076,
0.2795199155807495,
0.09757967293262482,
-0.2378075122833252,
0.3559994101524353,
0.5537392497062683,
0.07064754515886307,
-0.0969502255320549,
-0.37634700536727905,
-0.4787079095840454,
-0.0801035463809967,
-0.3180665671825409,
... |
Q: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Category: poker
Words: deck, queen, rudder, call, hearts
A: | rudder | 7 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.5021653175354004,
0.2958499789237976,
-0.8911669850349426,
-0.05104833096265793,
-0.21608881652355194,
0.4429173171520233,
0.6751686930656433,
-0.33891332149505615,
0.36986494064331055,
-0.7798575162887573,
-0.28104516863822937,
0.29233884811401367,
-1.0448651313781738,
0.224624902009964... |
This task is about translating a given French language sentence to English.
--------
Question: Et sinon, c'est normal qu'il y ai autant de gays?
Answer: Anyway... There are so many fags around here ...am I wrong?
Question: Vous ne pouvez pas mettre la capote ?
Answer: Can't you put the top up?
Question: Viendra u... | There will come a time, maybe later, then you look back, you think,
| 7 | NIv2 | task1690_qed_amara_translation | fs_opt | [
0.031819261610507965,
0.08470809459686279,
0.5483411550521851,
-0.39024901390075684,
-0.025148045271635056,
-0.6381527185440063,
-0.16125065088272095,
0.6299892663955688,
-0.08288834989070892,
-0.07155083119869232,
-0.8972976207733154,
0.13273657858371735,
-0.21386092901229858,
-0.63696390... |
Q: In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
[2, 5, 7, 6, 2, 1, 2, 3, 2, 3]
A: | [5, 7, 6, 1] | 7 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.5559563040733337,
0.5655855536460876,
-0.254842072725296,
-0.3525230884552002,
0.06039582937955856,
-0.576683521270752,
1.1266599893569946,
-0.1664545238018036,
-0.7594584226608276,
-0.06532742083072662,
-1.1290555000305176,
-0.05601070821285248,
-0.35843774676322937,
-0.080607458949089... |
In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label... | not
****
| 4 | NIv2 | task386_semeval_2018_task3_irony_detection | fs_opt | [
-0.9247329235076904,
0.6741513609886169,
0.7095879912376404,
0.4640956521034241,
-0.09548555314540863,
-0.24494574964046478,
0.21816633641719818,
0.39634132385253906,
0.6233644485473633,
0.19125300645828247,
-0.3530136048793793,
-0.3667358458042145,
-0.5175653696060181,
-0.2684642076492309... |
Definition: In this task, you will be presented with a question having multiple possible answers in Russian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Input: Question: Когда кто-то смотрит такой фильм, как "Пила", что он, скорее всего, ... | C | 2 | NIv2 | task1139_xcsr_ru_commonsense_mc_classification | zs_opt | [
-0.009941456839442253,
0.13521933555603027,
0.08961664140224457,
-0.10689746588468552,
-0.5314309597015381,
0.0004354853881523013,
1.1659369468688965,
0.9616327285766602,
0.3101300895214081,
-0.28204697370529175,
-0.7715978026390076,
-0.27369946241378784,
-0.1689239889383316,
0.34260898828... |
You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and completely. In those ca... | A, C, F, G.
| 5 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.09926404058933258,
0.4839633107185364,
-0.442630410194397,
0.20846149325370789,
0.13866229355335236,
-0.789332926273346,
0.36300230026245117,
0.8666865825653076,
-0.15566213428974152,
0.6544995307922363,
-0.05394640564918518,
0.6312991380691528,
-0.8013768196105957,
0.2142447978258133,
... |
Given a hotel review and the corresponding polarity of review (i.e., Negative or Positive) identify if the polarity is correct. Write 'true' if it's correct, 'false' otherwise.
Review: First, several day s prior to my stay, I called and spoke at length with the concierge and made a breakfast order for room-service Sat... | false | 0 | NIv2 | task903_deceptive_opinion_spam_classification | zs_opt | [
0.2702747583389282,
-0.11505965888500214,
-0.7056397795677185,
0.3446413278579712,
-0.3007257878780365,
-0.6567976474761963,
0.4033281207084656,
0.6605309247970581,
-0.30154916644096375,
0.12223423272371292,
0.49729132652282715,
0.12062271684408188,
-0.8778421878814697,
-0.3206074833869934... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
One example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution is here: Italia berhasil mengalahkan Portugal 31-... | Sejak awal kerusuhan pada 27 Oktober, lebih dari 8.000 kereta telah disuluh, lebih dari 2.700 orang ditahan dan 12 bangunan rusak. | 6 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
0.012578311376273632,
1.0275923013687134,
-0.6354809403419495,
0.18621613085269928,
-0.37731310725212097,
-0.5128200054168701,
0.5556706190109253,
0.3791038990020752,
-0.18331223726272583,
-0.42387181520462036,
-1.1380470991134644,
0.990721583366394,
-0.6850039958953857,
0.7428749203681946... |
Instructions: Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate ... | No | 3 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.7017889618873596,
0.5179824233055115,
0.29273951053619385,
0.18430525064468384,
-0.9089082479476929,
-1.2329227924346924,
-0.4409499764442444,
0.9296852350234985,
0.017792075872421265,
-0.09006396681070328,
-0.3064873218536377,
-0.2928241193294525,
-0.49542999267578125,
0.12625177204608... |
Q: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
A woman in white shirt is brushing the white dog's fur while the blow dry blows on its head while in the back, a woman is trimming the light brown dog's fur. A woman in black shirt and ... | walked in the building while she's holding sticks in snow. | 7 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
-0.5934373140335083,
0.7336709499359131,
-1.1368135213851929,
0.028844337910413742,
0.13070881366729736,
0.24658334255218506,
-1.0743334293365479,
0.7968398928642273,
0.42512401938438416,
0.1455063819885254,
-0.4230189919471741,
-0.3812587857246399,
0.44929054379463196,
-0.4341019690036773... |
Part 1. Definition
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Part 2. Example
A lion has _ legs.
Answer: four
Explanation: The most logical numeric answer in words is four.
Part 3. Exercise
New species are believed to arrive in the Mediterranean at t... | four | 7 | NIv2 | task672_nummersense | fs_opt | [
0.5421406626701355,
0.3599903881549835,
-0.8682352304458618,
-0.1802971065044403,
-0.38318321108818054,
-0.19635635614395142,
0.24795912206172943,
0.06382693350315094,
-0.29813796281814575,
-0.5145444869995117,
-0.22972139716148376,
0.5660831928253174,
-1.1657295227050781,
0.23786504566669... |
In this task, you will be presented with a question having multiple possible answers in Portuguese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Let me give you an example: Question: Foi um presente popular e comum este ano, por isso diri... | E | 8 | NIv2 | task1137_xcsr_pt_commonsense_mc_classification | fs_opt | [
-0.0926293283700943,
0.38817620277404785,
-0.04153470695018768,
-0.10187027603387833,
-0.5669419765472412,
-0.25158369541168213,
0.1184140145778656,
1.3755302429199219,
0.2016734778881073,
0.0033177484292536974,
-0.09433725476264954,
0.314863383769989,
-0.29038482904434204,
-0.185241043567... |
TASK DEFINITION: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
PROBLEM: Category: nutritional value
Words: heavy, fat, protein, obese, carbs
SOLUTION: obese
PROBLEM: Category:... | fine
| 8 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
0.166487455368042,
0.7211588025093079,
0.1835559606552124,
-0.6803669929504395,
-0.26748114824295044,
0.28383511304855347,
0.5346167683601379,
0.4941865801811218,
0.24900004267692566,
-0.33702075481414795,
-0.4348677396774292,
-0.43899184465408325,
-1.0094571113586426,
0.15807539224624634,... |
Part 1. Definition
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Part 2. Example
Comment: Enoug... | Non-threat | 7 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.33933404088020325,
0.9650212526321411,
0.4037076234817505,
-0.029644638299942017,
0.010321498848497868,
-1.161184310913086,
0.6153423190116882,
0.8230054378509521,
0.563919186592102,
-0.003031239379197359,
0.21204304695129395,
0.273776113986969,
-1.1356837749481201,
-0.46273529529571533... |
Detailed Instructions: A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: జనరిక్ మరియు అత్యవసర ఔషధాల సేకరణలో, డ్రగ్ సప్లయిల సోర్సింగ్ లో సహాయం;
A: | ਕ) ਜੈਨਰਿਕ ਅਤੇ ਜ਼ਰੂਰੀ ਦਵਾਈਆਂ ਹਾਸਲ ਕਰਨਾ ਅਤੇ ਦਵਾਈਆਂ ਦੀ ਸਪਲਾਈ ਦੀ ਸੋਰਸਿੰਗ ਵਿੱਚ ਸਹਾਇਤਾ ਦੇਣਾ। | 9 | NIv2 | task1066_pib_translation_telugu_punjabi | zs_opt | [
-0.28933119773864746,
0.3798466920852661,
-0.15349972248077393,
0.4513375163078308,
-0.1865289807319641,
-1.6237552165985107,
0.3401593267917633,
0.2910148799419403,
-0.10587526857852936,
-0.05867175757884979,
-0.5875293016433716,
-0.8048188090324402,
-0.6455227136611938,
0.506247639656066... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators... | for the type records of all rows , most of them fuzzily match to transfer . | 1 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.28676944971084595,
-0.3598475456237793,
-0.2625618577003479,
0.5537837743759155,
0.33653393387794495,
-0.25073233246803284,
0.43689852952957153,
0.6136907935142517,
0.0714532807469368,
-0.20997577905654907,
-0.433463990688324,
-0.31902602314949036,
0.4020948112010956,
0.5442192554473877,... |
Detailed Instructions: In this task if the pronoun is female or gender-neutral you are to replace it with a male pronoun. If there are no pronouns add a male-gendered word to the sentence.
Problem:might watch teen wolf on mtv. heard michelle clunie is good in that too.
Solution: | Might watch Teen Wolf on MTV. Heard Michelle Clunie is good in that. | 8 | NIv2 | task1669_md_gender_bias_text_modification | zs_opt | [
-0.38424503803253174,
1.020155429840088,
-0.408058762550354,
-0.3166642189025879,
-0.10581105947494507,
0.7039070725440979,
0.3932994604110718,
0.04078591242432594,
0.6774804592132568,
-0.37902310490608215,
-0.04676607996225357,
-0.7525410652160645,
-0.8153457641601562,
-0.4251276552677154... |
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Input: Consider Input: The food is absolutely amazing.\nHowever, keep in mind it's SOUTH indian food, which means it's on the spicy side.\nI had the lemon rice and also the Dosa with spinach filling. Of cours... | Output: 1 star
| 2 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.9090569019317627,
-0.31777364015579224,
-0.5347433090209961,
0.08429470658302307,
0.21253317594528198,
-1.1600048542022705,
0.9334270358085632,
1.1387593746185303,
-0.029128989204764366,
-0.22671085596084595,
0.40614911913871765,
0.44056397676467896,
-0.40487074851989746,
0.2150569260120... |
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)
One example is belo... | Fact1: Chords with three notes are referred to as triads. Fact2: Organized crime syndicates in Asia are often referred to as triads. | 9 | NIv2 | task169_strategyqa_sentence_generation | fs_opt | [
0.025775782763957977,
0.21968330442905426,
-0.6014479398727417,
0.05866739898920059,
-0.41383880376815796,
-0.9702568650245667,
0.814457893371582,
0.9210440516471863,
-0.3899306654930115,
0.35285311937332153,
-0.3652113974094391,
-0.09749031066894531,
-0.6247628927230835,
-0.46585571765899... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
I've been to Round Corner twice, ... | NEGATIVE | 1 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-0.003891481552273035,
0.3960147202014923,
-0.11718574166297913,
0.02520841918885708,
0.39456504583358765,
-0.17582419514656067,
0.19019676744937897,
1.2825770378112793,
0.0382964089512825,
0.07032399624586105,
0.4058758616447449,
-0.24978192150592804,
-0.5799174904823303,
0.11228350549936... |
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 | 3 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.2517477869987488,
0.23079276084899902,
0.29251086711883545,
-0.13814100623130798,
-0.5719632506370544,
-0.6843003034591675,
1.10585618019104,
0.4312834143638611,
-0.16271370649337769,
-0.1351970136165619,
-0.5031214356422424,
-0.4784294068813324,
-0.6884368658065796,
0.4536430239677429,
... |
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