inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
E o seu obxetivo agora é, dende logo, mercar unha bicicleta, e despois querrán ter tamén unha moto.
| 彼らの夢は自転車を買う事であり後になってバイクも買う事です | 5 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.6801460385322571,
0.3197941184043884,
-0.01422271691262722,
0.13487973809242249,
0.09987209737300873,
-0.02332066372036934,
0.5722975730895996,
-0.3443341851234436,
0.1890544444322586,
-0.7027848362922668,
-0.7017159461975098,
0.5807830095291138,
-0.01938418298959732,
0.1514799743890762... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
--------
Question: אבל בכל זאת הם חשים את כאבם של אנשי מצרים.
Answer: Ma sentono comunque le sofferenze degli egiziani.
Question: אבל הוא גם מועיל, מפני שהוא אומר לנו שפשטות קיצונית בחוקי תנועה ברמת הפרטים יכולה ליצור מורכ... | In effetti, gli editori Americani del mio libro "L'elefante, la tigre ed il cellulare" hanno aggiunto un sottotitolo infondato, "" India: la nuova potenza del XXI secolo "".
| 7 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-1.0153141021728516,
0.3423256278038025,
-0.48454535007476807,
-0.05019848048686981,
-0.544533371925354,
-0.2975323796272278,
1.3145954608917236,
-0.04108777642250061,
-0.2005453109741211,
-0.6690044403076172,
-1.402729868888855,
0.568505585193634,
-0.6212786436080933,
0.21420004963874817,... |
Q: Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability ... | Ако искате да научите повече за биологията, тогава вие трябва да образовате науката. | 7 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
-0.9065055847167969,
0.6813388466835022,
0.2653411030769348,
-0.5098534822463989,
-0.28867554664611816,
-1.0078715085983276,
0.2428596168756485,
0.20241698622703552,
0.4213343560695648,
-0.6939749121665955,
-0.6952375769615173,
0.28987717628479004,
-0.4844455122947693,
0.3546842634677887,
... |
Q: This task is about translating a given Spanish language sentence to English.
Si los demócratas pueden retener algo del control, especialmente en la Casa Blanca, entonces, tengo esperanzas, de lo contrario, no, no tengo esperanzas para el futuro.
A: | If the Democrats, you know, can retain some sort of control especially in the White House, then, I am hopeful, if not, then no, I'm not hopeful about my future. | 7 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.8861545324325562,
0.33626043796539307,
0.6545524597167969,
-0.44335663318634033,
-0.4283464848995209,
-0.7607041597366333,
-0.00007957319030538201,
1.1743299961090088,
0.5186632871627808,
-0.16878792643547058,
0.3618148863315582,
0.13137459754943848,
-0.11329099535942078,
-0.31620085239... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
ケリーは新しいエネルギーと炭素を得ることに関する多大な新しい研究が必要であることに言及し続け、アラスカ州上院議員、テッド・スティーブンスと一緒に... | นายแครีกล่าวต่อถึงความจำเป็นที่จะต้องมีการวิจัยขนานใหญ่เกี่ยวกับพลังงานใหม่ และการจับโมเลกุลคาร์บอน และกล่าวว่าเขากำลังทำงานร่วมกับนายเท็ด สตีเวนส์ วุฒิสมาชิกรัฐอลาสก้า เพื่อสนับสนุนโรงแยกสาร | 1 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
-0.38630014657974243,
0.07251285761594772,
-0.7926484942436218,
-0.39995914697647095,
-0.031769104301929474,
-1.0739697217941284,
0.8644429445266724,
0.34754621982574463,
-0.2744772434234619,
0.592961311340332,
-0.282473087310791,
0.22634677588939667,
-0.22743818163871765,
0.48484182357788... |
Detailed Instructions: 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'.
Problem:Problem: there are 6 working days in a regular week and for each day , the working hours are 10 . a man earns rs . 2.10 per hour for regular work and... | e | 8 | NIv2 | task1422_mathqa_physics | zs_opt | [
0.09727425873279572,
0.7310737371444702,
-0.02561846934258938,
-0.06846432387828827,
-0.6956375241279602,
-0.2732484042644501,
0.18248604238033295,
0.6740332841873169,
-0.23399558663368225,
0.0610935278236866,
-0.7371938228607178,
-0.2520144581794739,
0.09619520604610443,
-0.67656219005584... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Input: Consider Input: mix together in food processor adding in water slowly., knead and refrigerate 1 hour., roll to 1/4 cm thickness a... | Output: crabmeat, onion, bell pepper, cracker, mayonnaise, cream of mushroom soup, Tabasco sauce, cheddar cheese
| 2 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.8529374599456787,
0.06204250454902649,
-0.4975229799747467,
-0.04058874398469925,
-0.36474570631980896,
0.08023780584335327,
0.7738187313079834,
0.9005069732666016,
-0.6142829656600952,
-0.35637718439102173,
0.0012432708172127604,
-0.47745251655578613,
0.3186696767807007,
0.0320440977811... |
Given the task definition and input, reply with output. Indicate the presence of numerical data in the abstract (whether numerical data plays a key role in medical records), solely using the information from the abstract.
Abstract: We studied 54 neonates with acute cardiorespiratory illness and 21 infants with broncho... | Yes | 5 | NIv2 | task621_ohsumed_yes_no_numerical_answer_generation | zs_opt | [
-0.21484291553497314,
-0.03581763058900833,
-1.2241768836975098,
0.3793390989303589,
0.02191358618438244,
-0.4892963171005249,
0.6183981895446777,
0.6979455947875977,
0.3222421407699585,
0.3305404782295227,
-0.3604721128940582,
0.29580825567245483,
-0.34842392802238464,
0.11072047054767609... |
You are given a statement written in Oriya. 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 .
One example is below.
Q: Statement: 'ରକନୁଦ୍ଦୀନ'ଙ୍କ ଶାସନ ବହୁତ କମ ସମୟ ପାଇଁ ଥିଲା । ଇଲତୁତମିଶଙ୍କ ବିଧବା , ଶାହା ତୁର୍କାନଙ୍କ ... | କେନ୍ଦୁଝର | 9 | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | fs_opt | [
-0.04661906510591507,
1.1379125118255615,
-0.027115866541862488,
0.21992775797843933,
-0.12406586110591888,
-0.1478714942932129,
0.061577655375003815,
1.1154496669769287,
0.08297860622406006,
0.1876477301120758,
-0.32904139161109924,
-0.014316914603114128,
-0.6361489295959473,
-0.104062899... |
You are given a statement written in Malayalam. 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 .
--------
Question: Statement: ഇറ്റലിയിൽനിന്ന് ഈ സമ്പ്രദായം മറ്റു യുറോപ്യൻ രാഷ്ട്രങ്ങളിലേക്കു വ്യാപിച്ചു. പ്രധാന ... | കോൺഗ്രസിന്റെ
| 7 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.3165622055530548,
0.4863678216934204,
0.20126137137413025,
-0.1326027512550354,
-0.19756528735160828,
-0.7351128458976746,
0.1298772394657135,
0.9220085740089417,
0.5151270627975464,
-0.0174560584127903,
-0.04575885087251663,
0.9797435998916626,
-0.4789924919605255,
0.18976566195487976,
... |
Q: A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
The Prime Minster said, We have passed a historic bill to provide 10 reservation to Economically Weaker Sections of the General Category in Lok Sabha ... | প্রধানমন্ত্রী আরও বলেন, “সাধারণ শ্রেণিভুক্ত তথাপি আর্থিকভাবে দুর্বল মানুষের জন্য ১০ শতাংশ সংরক্ষণ প্রদানে লোকসভায় গতকাল আমরা এক ঐতিহাসিক বিল পাশ করেছি। | 7 | NIv2 | task996_pib_translation_english_bengali | zs_opt | [
0.25141263008117676,
0.5477156043052673,
0.6420671939849854,
0.06429899483919144,
0.018552366644144058,
-0.7638806104660034,
0.15323904156684875,
-0.14809714257717133,
-0.202568918466568,
-0.3468029499053955,
-0.6419296264648438,
-0.03958588093519211,
-0.3827991783618927,
0.291014581918716... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Let me give you an example: Context: Architecturally, the school has a Catholic character. Atop the Main Building's gold dome is a golde... | national library of wales | 8 | NIv2 | task469_mrqa_answer_generation | fs_opt | [
0.4352792203426361,
0.8075765371322632,
-0.3637336194515228,
-0.1400965303182602,
-0.007440478540956974,
-0.6611325740814209,
0.31391656398773193,
0.7819540500640869,
-0.08435837924480438,
0.057494085282087326,
0.281423419713974,
0.4129681885242462,
-0.1091817319393158,
0.47782713174819946... |
Instructions: Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Input: Relationship: 'be president of', Argument/Subject 1: 'wilson', Argument/Subject 2: 'princeton university'
Output: | Wilson made advances in education while he was the president of Princeton University in the early 1900s , before entering politics as the governor of New Jersey in 1910 . | 3 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
-0.37350308895111084,
0.480622261762619,
0.249751478433609,
-0.8068937063217163,
-0.5637989640235901,
-1.069488763809204,
0.44349610805511475,
0.06807006150484085,
0.9496321082115173,
-0.10866548866033554,
0.19048035144805908,
-0.30716878175735474,
-0.4231901168823242,
-0.01334255188703537... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: بنابراین تمامی این تغییرات ، وبسیاری تغییرات دیگر ، به گونه ای بر روی هم تلنبار شده اند و مفهومی با عنوان عصر "" آنتروپوسین "" را بوجود آورده اند. و این... | Tutti questi cambiamenti, e molti altri, sono stati raggruppati sotto il termine "" Antropocene "", con il quale dovremmo chiamare l'epoca attuale secondo alcuni geologi, data la pervasività dell'influenza umana. | 6 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.2159663885831833,
0.3058767318725586,
0.0028714267536997795,
-0.21182389557361603,
-0.6732579469680786,
0.23501995205879211,
0.6806235909461975,
0.5664143562316895,
0.19990551471710205,
-0.6124377846717834,
-0.32244670391082764,
0.01868133619427681,
-0.2697793245315552,
-0.0405803695321... |
Detailed Instructions: Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But on... | अधिकतम परिच्छेदन धनात्मक मान होना चाहिए. | 8 | NIv2 | task877_kde4_translation | zs_opt | [
-0.41476231813430786,
0.1276908963918686,
0.8511164784431458,
0.25947365164756775,
0.33643659949302673,
-0.8131487965583801,
0.40878891944885254,
0.13705496490001678,
-0.07946199178695679,
-0.780680775642395,
-0.8945927619934082,
0.2080068588256836,
-0.17128074169158936,
0.3956731557846069... |
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'.
One example is below.
Q: Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to cover the journey ?
Options: a ) 25 m , b ) 45 m , c ) 32 m... | a | 9 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.08251624554395676,
0.2176915407180786,
-0.46128082275390625,
0.2460983246564865,
-0.3415774405002594,
-0.004525608848780394,
0.07943063229322433,
0.6321953535079956,
-0.2085535079240799,
-0.12075138092041016,
-1.0032310485839844,
0.12980395555496216,
-0.02589474804699421,
-0.009036484174... |
Definition: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be... | 1413l | 2 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
0.0018761531682685018,
0.3188208341598511,
-0.45069196820259094,
-0.40292590856552124,
0.09595029056072235,
0.06828229129314423,
0.0908646285533905,
-0.3168683648109436,
-0.07213841378688812,
0.12033972889184952,
-1.136452317237854,
0.12642815709114075,
0.005259642377495766,
0.041817922145... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Crystal: Vet, can you tell u... | (B) hope everything will be perfect | 1 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.6157193779945374,
-0.3688328266143799,
-0.7111454606056213,
-0.41761723160743713,
0.061091143637895584,
-0.04065518081188202,
0.9787510633468628,
1.2073016166687012,
-0.04924899339675903,
-0.08066512644290924,
0.3830726444721222,
0.5478280782699585,
-0.236464262008667,
-0.052691645920276... |
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 ... | run around left twice after look opposite right thrice
| 6 | NIv2 | task131_scan_long_text_generation_action_command_long | fs_opt | [
0.5466247797012329,
0.5591010451316833,
-0.41677194833755493,
0.039581313729286194,
0.1652112603187561,
0.03406335413455963,
0.06370215117931366,
0.8750537633895874,
-0.16631773114204407,
0.02909359708428383,
-0.7159249782562256,
-0.10520994663238525,
-0.6345247030258179,
-0.03413906693458... |
Translate from English to Hindi.
Example: Go to the employment office.
Example solution: रोजगार कार्यालय जाओ.
Example explanation: The translation is accurate.
Problem: I'm not leaving this place!
| Solution: मैं यह जगह नहीं छोड़ने जा रहा हूँ! | 5 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.3756319284439087,
0.2103990614414215,
-0.08193793892860413,
0.4318361282348633,
-0.2774966359138489,
-0.6051871180534363,
-0.07628361880779266,
0.06825106590986252,
0.1001405119895935,
-0.17668035626411438,
-0.1239006370306015,
-0.20051513612270355,
-0.07893677055835724,
0.3644678592681... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Input: Consider Input: Courtney found herself in a great situation.
Output: female
Input: Consider Input: Latoya made me feel glad.
Output... | Output: female
| 2 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.5438183546066284,
0.6191524267196655,
-0.15698480606079102,
-0.6989611983299255,
-0.12259324640035629,
-0.15905871987342834,
0.6985907554626465,
0.22820551693439484,
1.069444179534912,
0.5280622839927673,
-0.36901620030403137,
-0.04630276560783386,
-0.8375470638275146,
-0.44825157523155... |
Detailed Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
See one example... | which is the right side of history? | 4 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
0.00674399035051465,
0.2905808389186859,
0.33187127113342285,
-0.43028903007507324,
0.03544529899954796,
-0.1887962520122528,
0.09240522235631943,
0.26652997732162476,
-0.04806609824299812,
-0.10372107475996017,
-0.4461165964603424,
-0.05353974178433418,
-0.05623548477888107,
-0.3241991400... |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
On... | Offensive | 6 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-0.5420147180557251,
0.9375793933868408,
0.2536524534225464,
0.2922656536102295,
-0.19039568305015564,
-0.8033324480056763,
0.12170057743787766,
0.23386940360069275,
0.30942463874816895,
0.46001651883125305,
-0.4248589277267456,
0.25599920749664307,
-0.49896129965782166,
-0.867866992950439... |
Given the task definition and input, reply with output. Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Is OTHER wrong in the post ? POST : First,... | yes | 5 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
-0.19492492079734802,
0.6699994206428528,
1.0719085931777954,
0.665367841720581,
0.5162475109100342,
-0.9205655455589294,
0.030587071552872658,
0.6481983661651611,
0.29078853130340576,
-0.17113345861434937,
-0.42913302779197693,
-0.33705270290374756,
-0.5720537900924683,
-0.348552048206329... |
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 | [
0.731542706489563,
-0.43924564123153687,
-0.6888978481292725,
1.0103342533111572,
-0.38173049688339233,
-0.4003615975379944,
0.531822681427002,
1.2992218732833862,
0.267299622297287,
-0.39036083221435547,
0.4254148304462433,
0.6621299982070923,
-0.1521383672952652,
-0.519748866558075,
0.... |
Detailed Instructions: In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used i... | False | 8 | NIv2 | task346_hybridqa_classification | zs_opt | [
0.5416346192359924,
-0.4512147605419159,
-0.24800682067871094,
0.3026617169380188,
-0.03950215503573418,
-1.0627107620239258,
0.8977735638618469,
0.49804309010505676,
-0.20164409279823303,
-0.2701791226863861,
-0.15403616428375244,
0.08958888053894043,
0.30378562211990356,
0.26104319095611... |
Detailed Instructions: 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.
Q: une bouse de plus pour besson . j'y crois pas : tout y est : les sa... | NEG | 9 | NIv2 | task483_cls_french_dvd_classification | zs_opt | [
-0.06338343769311905,
0.3110603094100952,
-0.4415161609649658,
0.25403013825416565,
0.21979844570159912,
-0.3135986924171448,
1.263685941696167,
-0.04372740909457207,
0.9013206958770752,
1.0829488039016724,
-0.5639241933822632,
-0.2559983730316162,
0.574288010597229,
-0.23001350462436676,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 4 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.585629940032959,
0.4860900640487671,
0.18855057656764984,
0.17659063637256622,
-0.35513895750045776,
-0.7717527151107788,
1.0354104042053223,
0.2852410674095154,
-0.7011449337005615,
-0.27443042397499084,
-0.4146694540977478,
-0.10613419115543365,
-0.25583767890930176,
-0.005152557045221... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | False | 4 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
0.3040733337402344,
0.9999079704284668,
0.08747038245201111,
-0.07871300727128983,
-0.16709363460540771,
-0.15758031606674194,
0.4720552861690521,
0.5453640222549438,
0.48994430899620056,
0.03453291207551956,
-0.5061264634132385,
0.601151168346405,
-0.44839203357696533,
0.7792845368385315,... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Output: I like(s) playing >Motivates> I enjoy playing
| 2 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.19434422254562378,
0.048965878784656525,
0.11806690692901611,
-0.1797216832637787,
0.03950788825750351,
-0.7650789022445679,
0.7144457101821899,
0.653853714466095,
-0.6143231391906738,
-0.20674452185630798,
-0.5791877508163452,
0.10193435847759247,
-0.32019251585006714,
-0.46424320340156... |
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.
Q: Category: TOP ATHLETES
Clue: On ESPN's list of the 50 top athletes of the 20th century, th... | egyptian & greek
****
| 4 | NIv2 | task307_jeopardy_answer_generation_final | fs_opt | [
0.26866739988327026,
0.553421676158905,
-0.4614056348800659,
0.40462592244148254,
0.32679328322410583,
0.10932376980781555,
0.6623423099517822,
0.09222812950611115,
1.1616389751434326,
-0.3828478753566742,
-0.3052922189235687,
0.8926504850387573,
-1.173539161682129,
-0.37814217805862427,
... |
You will be given a definition of a task first, then some input of the task.
You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ನಾಜಿ ಜರ್ಮನಿ <MASK> ಮೇಲೆ ಅ... | ಪೋಲೆಂಡ್ನ | 1 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
-0.057794250547885895,
0.5468583703041077,
-0.24696040153503418,
-0.5680853128433228,
-0.11411624401807785,
-0.8445978164672852,
0.5496194362640381,
0.22490184009075165,
0.38256698846817017,
0.31082266569137573,
-0.19128012657165527,
-0.251031756401062,
-0.2112344354391098,
-0.051140308380... |
Teacher:In this task, you are to Translate German text to English
Teacher: Now, understand the problem? Solve this instance: Formeln I und II
Student: | Formulas I and II | 6 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
-0.15378302335739136,
0.7500882744789124,
0.678917407989502,
-0.4853380620479584,
-0.14479438960552216,
-0.22740954160690308,
0.5416281223297119,
0.6226909756660461,
0.292405366897583,
-0.46785083413124084,
-0.08284378051757812,
-0.5864478349685669,
-0.5197839140892029,
-0.1222752556204795... |
Definition: 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) ... | Indonesian police said Thursday they have arrested 230 people suspected of starting some of the fires that are spreading health-damaging haze across a large part of Southeast Asia. | 2 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.506886899471283,
0.2149912714958191,
-0.006988117471337318,
-0.7390091419219971,
0.5177708864212036,
-0.7087581753730774,
0.23677334189414978,
1.1328790187835693,
-0.8793370723724365,
0.656896710395813,
-0.8026248812675476,
0.6387276649475098,
-0.31543439626693726,
0.24136048555374146,
... |
Instructions: Given a sentence in French, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
Input: Il a deux fils: l'aîné Maharana Mahendra Singh et le plus jeune Arvind Singh.
Output: | Er hat zwei Söhne: den älteren Maharana Mahendra Singh und den jüngeren Arvind Singh. | 3 | NIv2 | task792_pawsx_french_german_translation | zs_opt | [
-0.5047793984413147,
0.8858261108398438,
-0.30810844898223877,
-0.540866494178772,
-0.6529800891876221,
0.48183050751686096,
1.0552033185958862,
0.10795512795448303,
0.6114882826805115,
-0.47975489497184753,
-0.05678773671388626,
-0.3099227249622345,
-1.2492072582244873,
0.0733477622270584... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
One example: A photo series on the popular Humans of New York Facebook page may have went viral and captured the nation’s attention last Tuesday, but for Daniel Kang, the post really hit home.
... | Shaun White pulled off the impressive feat of winning a gold medal at his third different Olympics on Wednesday, but subsequent headlines haven't been all flattering for the all-world snowboarder. For one thing, his win has brought renewed attention to a sexual harassment lawsuit brought against him in 2016. Details an... | 6 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.7072670459747314,
0.19681061804294586,
-0.06618726253509521,
-0.26966995000839233,
0.9063714146614075,
-0.31353819370269775,
1.0286927223205566,
0.8066586852073669,
-0.40210068225860596,
0.6644467115402222,
0.015577946789562702,
0.37131524085998535,
-0.27873003482818604,
0.52564901113510... |
We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gay marriage. A... | Invalid
****
| 4 | NIv2 | task148_afs_argument_quality_gay_marriage | fs_opt | [
0.10512930154800415,
0.5099746584892273,
0.5685535073280334,
-0.004330808762460947,
0.1091395914554596,
-1.2395832538604736,
-0.1495571732521057,
0.3372306525707245,
0.0303507000207901,
0.3321835398674011,
-0.716597318649292,
0.03536412492394447,
-0.4386415183544159,
-0.4758194386959076,
... |
Given the task definition and input, reply with output. This task is about translating a given English language sentence to Yoruba language.
And regardless of how I might be pressured or punished, even if I were sentenced to death, I declare that not even then would I abandon the almighty Creator of the universe, Jeho... | Bó ti wù kí ilé ẹjọ́ yìí fìyà jẹ mí tó, kódà tí wọ́n bá dájọ́ ikú fún mi, mi ò ni fi Jèhófà, Ọlọ́run Olódùmarè àti Ẹlẹ́dàá ayé àtọ̀run sílẹ̀ láé.” | 5 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.08630240708589554,
1.0983803272247314,
0.6998635530471802,
0.46709781885147095,
-0.6006351113319397,
-0.6935925483703613,
-0.30444270372390747,
0.13421571254730225,
0.3649151921272278,
-0.5125243663787842,
-0.013389259576797485,
0.5698068141937256,
-1.0614603757858276,
-0.130844771862030... |
Definition: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"... | B | 2 | NIv2 | task329_gap_classification | zs_opt | [
-0.7225475311279297,
0.12739309668540955,
0.4655137360095978,
0.08421018719673157,
-0.48072996735572815,
0.5918087363243103,
0.9932969808578491,
0.581940770149231,
0.375060498714447,
0.2348761111497879,
-0.3550983667373657,
-0.15263086557388306,
-0.07564695179462433,
-0.5687305927276611,
... |
Detailed Instructions: 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... | look around left after jump opposite right twice | 8 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.31024348735809326,
1.0365126132965088,
-0.45251229405403137,
-0.20406325161457062,
-0.08287137746810913,
0.5647621154785156,
0.2229553461074829,
0.5205208659172058,
-0.4448367655277252,
-0.5001439452171326,
-0.8608250617980957,
-0.3573940396308899,
-0.6737698912620544,
0.0218061376363039... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
[EX Q]: This is the medical care that goes beyond just medicines.
[EX A]: To jest opieka medyczna, która sięga dalej, niż po same leki.
[EX Q]: And out of it starts growing these little boxes with different browser windows... | Laboratorium w Santa Cruz było miejscem, w którym eksperymentowaliśmy.
| 6 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.7046484351158142,
0.639161229133606,
-0.3551015853881836,
-0.22266149520874023,
-0.6390982866287231,
-1.0167853832244873,
0.2708880305290222,
0.22122406959533691,
0.7971081733703613,
-0.5838065147399902,
0.22837747633457184,
0.5961067080497742,
-0.24989061057567596,
0.6125678420066833,
... |
Detailed Instructions: Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applie... | HYPER | 8 | NIv2 | task1505_root09_semantic_relation_classification | zs_opt | [
-0.3590850234031677,
0.24781212210655212,
0.18145102262496948,
-0.13426104187965393,
-0.9778488874435425,
-0.6077629327774048,
0.6981844305992126,
0.25679129362106323,
0.540564775466919,
-0.9256382584571838,
-1.2554662227630615,
-0.37618112564086914,
-0.4932902455329895,
0.3875817656517029... |
Teacher: 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, industrial supplie... | automotive | 2 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.12189793586730957,
-0.19986090064048767,
-0.4850708842277527,
0.3793914318084717,
0.2240867167711258,
0.06416590511798859,
0.5545390248298645,
0.644843578338623,
-0.4393852949142456,
0.5281265377998352,
0.6046790480613708,
0.3594924509525299,
-0.04313930124044418,
-0.2981202304363251,
... |
Instructions: An answer is given. Generate a question for which the given answer is either a direct or partial answer.
Input: Answer: plumber
Output: | what is the first job of ozzy osbourne? | 3 | NIv2 | task443_com_qa_ans_question_generation | zs_opt | [
-1.364025592803955,
1.3302373886108398,
-0.6449867486953735,
-0.6155810952186584,
0.715255618095398,
-1.1999783515930176,
-0.43952226638793945,
-0.37665411829948425,
0.5539935231208801,
0.3181989789009094,
-0.23804953694343567,
0.49736374616622925,
-1.020828366279602,
-0.1846706122159958,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Mas agora estou na América. Senhor, obrigado. "" Aceito a generosidade, continuo pela rua, e passa por mim, meu Deus, é o mesmo país que acolheu os meus pais desta forma 90 atrás. | Ma adesso sono Americano. Signore, grazie. "" Accetto la generosità, continuo su per la strada, e mi lascio travolgere da quello che è appena successo, mio Dio, è lo stesso paese che ha accolto nella stessa maniera i miei genitori 90 anni fa. | 0 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.3331019878387451,
0.7514439821243286,
-0.03757235407829285,
-0.2054360806941986,
-0.6363123655319214,
-0.4317110776901245,
0.24232631921768188,
0.796994686126709,
0.279164582490921,
0.053910739719867706,
-0.2909301519393921,
0.25315260887145996,
-0.23586316406726837,
0.06066834926605224... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer... | education | 1 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.31658536195755005,
0.09918174147605896,
-0.016627628356218338,
0.22073444724082947,
-0.12230905145406723,
0.007952963002026081,
0.11873970925807953,
0.5335716605186462,
-0.235844686627388,
0.5587705373764038,
-0.6700364947319031,
0.04723167419433594,
-0.11637413501739502,
-0.176383838057... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | A dog taking a rest indoors. | 0 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.7871201038360596,
0.9108151197433472,
0.26011234521865845,
-0.7165347337722778,
-0.4215845465660095,
-0.5173193216323853,
-0.2595953345298767,
0.7686506509780884,
0.26728737354278564,
-0.6995549201965332,
-1.3683010339736938,
-0.29063189029693604,
-0.45838141441345215,
-0.25421109795570... |
Instructions: 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... | run opposite right thrice after look thrice | 3 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.3251556158065796,
0.9658648371696472,
-0.5384840369224548,
0.23143801093101501,
-0.15348368883132935,
0.39294689893722534,
-0.03578751161694527,
0.6659834384918213,
-0.3372207283973694,
-0.22501200437545776,
-0.7636727690696716,
-0.43319690227508545,
-0.552586555480957,
-0.04067174345254... |
Detailed Instructions: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index a... | [17, -15, -11, 8, -5, -18] | 4 | NIv2 | task096_conala_list_index_subtraction | fs_opt | [
0.4399564266204834,
0.10275231301784515,
-1.0274860858917236,
-0.3878207504749298,
0.03679339587688446,
-0.38097837567329407,
1.105995535850525,
0.5255017280578613,
-0.004774287808686495,
-0.08577580749988556,
-0.5434844493865967,
-0.3158024549484253,
-0.5239043831825256,
-0.02668057754635... |
Detailed Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
S... | 21543 | 4 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.36178964376449585,
-0.1113484799861908,
-0.5316814184188843,
0.13823038339614868,
0.03995863348245621,
-0.3299994468688965,
-0.1005987897515297,
0.9069251418113708,
-0.12936195731163025,
0.3648262321949005,
-0.8291363716125488,
0.05922415107488632,
-0.726038932800293,
0.14717236161231995... |
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... | No
| 5 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.4056890308856964,
0.3527757525444031,
0.18885551393032074,
-0.19413982331752777,
-0.7892338037490845,
-0.7795456051826477,
1.1401989459991455,
0.5480703711509705,
-0.5670403242111206,
-0.4590022563934326,
-0.5245006680488586,
-0.6202386617660522,
-0.6383519172668457,
0.4929950535297394,
... |
Definition: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Input: (A) leaving during a 9 hour shift in work in which there is no coverage
(B) not buy... | B | 2 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.6680757999420166,
0.6577245593070984,
0.3136349320411682,
-0.07644349336624146,
-0.5319921970367432,
-0.22909951210021973,
-0.20648404955863953,
0.27935338020324707,
0.388325035572052,
0.12819135189056396,
-0.4261988699436188,
-0.3195796608924866,
0.45035839080810547,
-0.411262422800064... |
Definition: This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not... | What was copper forbidden to be called in Greece? | 2 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.5017250776290894,
0.8338636159896851,
-0.45621946454048157,
-0.031453341245651245,
-0.17695651948451996,
-0.8323380947113037,
1.0492302179336548,
0.8103680610656738,
0.513279914855957,
0.5298956632614136,
-0.48229706287384033,
0.7117345333099365,
-0.353885293006897,
0.4101426601409912,
... |
You will be given a definition of a task first, then some input of the task.
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Event:PersonX tickles the ivories. Intent: 1) its useful to money
Output... | Positive | 1 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.19353611767292023,
-0.046752117574214935,
-0.3170032501220703,
0.22516578435897827,
-0.3438453674316406,
-0.7985468506813049,
1.0600287914276123,
0.22387927770614624,
0.13714781403541565,
0.015199713408946991,
-0.02338128164410591,
-0.2033846378326416,
-0.4442178010940552,
-0.5980215072... |
Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Q: The site collects your computer information for analytics or research. Collection h... | Computer information | 4 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-1.2162346839904785,
-0.26135683059692383,
-0.6831129789352417,
0.49744611978530884,
-0.5153377056121826,
-0.9123976230621338,
0.3867916464805603,
-0.5705391764640808,
0.6237190961837769,
0.869665801525116,
0.6483311057090759,
0.22572460770606995,
-0.5667799711227417,
-0.041638970375061035... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
U... | Which u.s. army general who won several victories in the mexican-american war was born in 1786?
3rd Commanding General of the United States Army | 0 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-0.43116798996925354,
0.24124613404273987,
-0.5671564340591431,
-0.13630996644496918,
-0.28526464104652405,
-0.5095870494842529,
0.6462648510932922,
0.26498904824256897,
0.18045952916145325,
-0.6588002443313599,
-0.4744294285774231,
-0.3718240559101105,
-0.17011182010173798,
-0.15480282902... |
Detailed Instructions: In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Problem:Sentence 1: Mark volunteered to help with his daughter's team. Senten... | b | 8 | NIv2 | task220_rocstories_title_classification | zs_opt | [
0.26172497868537903,
-0.1945221871137619,
-0.2910671532154083,
-0.2996777892112732,
-0.17429809272289276,
-0.34313249588012695,
0.59898841381073,
0.6256759166717529,
0.34426721930503845,
-0.3167249858379364,
-0.6765150427818298,
-0.6377221345901489,
-0.2857619524002075,
-0.0122476378455758... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Example Input: What applies or why do some people purposely resist officers of the law?
Example Output: Why do some people purposely resist officers of the law?
Example Input: What did no How ... | What centuries did the Roman times take place within?
| 3 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
0.02438979409635067,
1.0045108795166016,
0.3229028582572937,
-0.3094293177127838,
-0.2426144778728485,
-0.8118389844894409,
0.1774427592754364,
0.8735620379447937,
0.5209516286849976,
0.2930492162704468,
-0.4178920090198517,
-0.36551719903945923,
-1.2498890161514282,
-0.5754055976867676,
... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Q: Text: fuck up happened yesterday/lastnight
so i am at my mother's house for a few days and she brough... | wanted to hide things from mother; ended up hiding them too well | 4 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
0.4125405251979828,
0.10481701791286469,
-0.5595495700836182,
-0.24428310990333557,
-0.1680649071931839,
-0.014994930475950241,
0.9345054626464844,
0.6581581830978394,
0.42209720611572266,
-0.1755286455154419,
0.023823104798793793,
0.2809775173664093,
-0.7449792623519897,
0.230535298585891... |
In this task, you're given a context, 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 context and link information to create the q... | How many people lived in Albany when it became the state captial? | 9 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
0.013605864718556404,
0.8013060092926025,
-0.1722104698419571,
0.4100201427936554,
0.08108577877283096,
-0.9159293174743652,
0.5865967869758606,
1.1874330043792725,
0.010589048266410828,
0.10272995382547379,
-0.5212982296943665,
0.13142313063144684,
-1.2412879467010498,
0.39972415566444397... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Input: سأقوم بكتابة بعض الأوامر لتكرار تلك الحركة مرة بعد مرة. فقط أقوم بسحب هؤلاء لأدعهم ينطلقون.
Output: | Se voglio creare un piccolo script per farlo ancora e ancora, devo solo trascinare questi qui e fare in modo che partano. | 2 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.21037572622299194,
0.16299010813236237,
-0.8179418444633484,
-0.25393879413604736,
-0.3421070873737335,
0.3194100558757782,
0.49838677048683167,
0.33605265617370605,
0.5008139610290527,
-0.2963724732398987,
-0.8724876046180725,
-0.07820190489292145,
-0.2586718201637268,
0.37717705965042... |
Given the task definition, example input & output, solve the new input case.
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try t... | energy destruction. | 1 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.19562530517578125,
0.8209871053695679,
-0.6553190350532532,
0.37175512313842773,
-0.11090211570262909,
-1.0567758083343506,
0.3877968192100525,
1.1012028455734253,
-0.3551180958747864,
0.22496652603149414,
-0.9820477962493896,
0.11475194990634918,
-0.23811805248260498,
-0.032509677112102... |
Instructions: A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: इसका मतलब ये गड़बड़बाजी की है।
Output: | याचा अर्थ गडबड आहे. | 3 | NIv2 | task1081_pib_translation_hindi_marathi | zs_opt | [
0.31482845544815063,
0.5718231797218323,
-0.01921921595931053,
0.3930929899215698,
0.45116615295410156,
-0.40163367986679077,
0.2575729489326477,
0.31150397658348083,
-0.5589719414710999,
-0.432036817073822,
-1.8166782855987549,
-0.609723687171936,
0.0663793683052063,
0.37218034267425537,
... |
Q: 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 fou... | Laptop | 7 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.9073789715766907,
0.302673876285553,
-0.5698032379150391,
0.852658748626709,
0.07340263575315475,
0.31126368045806885,
0.25631505250930786,
0.8209054470062256,
0.6867239475250244,
0.2821199297904968,
0.5022435188293457,
0.17049768567085266,
0.03728438913822174,
0.021459469571709633,
0.... |
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 agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New info... | a man is taking his kids to practice in his minivan | 1 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.2267920970916748,
0.7058036923408508,
0.2858046293258667,
-0.5923696756362915,
0.18728604912757874,
0.026389146223664284,
0.19309458136558533,
0.6407209634780884,
0.40233951807022095,
-0.2969629168510437,
-0.9783371686935425,
-0.6075140237808228,
0.15300044417381287,
-0.3239864110946655... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Q: Bill Gates falou da importancia da educación e, en particular, do modelo que KIPP facilita. "O coñecemento é poder"
A: | بيل گيتس درباره اهميت آموزش ايراد سخن كرد و بخصوص ، مدلي كه برنامه KIPP فراهم مي كند "توانا بود هر كه دانا بود." | 4 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.9457106590270996,
0.5009077191352844,
0.4088795781135559,
-0.637869119644165,
-0.48652029037475586,
-1.5994820594787598,
1.259645938873291,
0.33725860714912415,
0.04554196819663048,
0.5701180696487427,
0.058668676763772964,
0.4162968099117279,
-0.13740360736846924,
-0.0740678682923317,
... |
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 'Yes' or 'No'.
Example I... | No
| 3 | NIv2 | task227_clariq_classification | fs_opt | [
-0.40370309352874756,
-0.019601471722126007,
0.09314371645450592,
0.28526878356933594,
-0.09304916113615036,
-1.0665156841278076,
0.5415536761283875,
0.2760641574859619,
0.1382445991039276,
0.11946440488100052,
0.06396722048521042,
-0.6396751403808594,
-0.1896619200706482,
-0.1774808168411... |
Q: In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
و ارفکشاد، شالح را آورد، و شالح، عابررا آورد.
A: | And Arphaxad begat Salah; and Salah begat Eber. | 7 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
-0.5349684357643127,
0.8388479351997375,
0.22473692893981934,
-0.02360394597053528,
-0.41406887769699097,
0.13430702686309814,
0.9847489595413208,
-0.3052356243133545,
1.2597650289535522,
0.2291039079427719,
-0.3261050581932068,
0.6823089718818665,
-1.169740080833435,
0.07814735919237137,
... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive... | _____ first aired on the 3rd of October 1983, and starred Bill Oddie. | 1 | NIv2 | task1407_dart_question_generation | fs_opt | [
-0.42596763372421265,
0.4610084295272827,
-0.5805535316467285,
-0.3121122121810913,
-0.1658310741186142,
0.29002445936203003,
0.8475295305252075,
0.8771170973777771,
0.09101230651140213,
0.10203009843826294,
-0.6865826845169067,
0.22188566625118256,
0.113298699259758,
-0.16369953751564026,... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Ale jest też coś zaskakującego.
| But here's what's surprising. | 5 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.980146050453186,
1.1622920036315918,
0.6350643038749695,
-0.06670733541250229,
-0.15171007812023163,
-0.6284209489822388,
0.6203237771987915,
-0.8759485483169556,
0.3028155267238617,
-0.4978417158126831,
-0.3265877366065979,
0.6931852698326111,
-0.7886980175971985,
0.24463212490081787,
... |
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 .
Q: Statement: 1956 மே 17, 18, 19, 20 தேதிகளில் <MASK>யில் நடைபெற்ற தி.மு.க. 2ஆவது மாநில மாநாட்டில் தேர்தலில் பங்கேற்... | திருச்சி | 4 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.8775022029876709,
0.5616310834884644,
0.19945070147514343,
0.20368824899196625,
0.1723804771900177,
-0.7936737537384033,
-0.4183084964752197,
0.2150650918483734,
0.19995607435703278,
0.41687220335006714,
-0.016772184520959854,
-0.03725240007042885,
0.046752482652664185,
-0.10081881284713... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
That has got to hurt!
Output: | يبدو ان هذا مؤذى للغاية | 1 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
-0.1000719740986824,
0.5605829954147339,
0.18388959765434265,
-0.3658413290977478,
0.3481084704399109,
0.46087828278541565,
0.8607664108276367,
0.5536156892776489,
0.6236987113952637,
0.5400886535644531,
-0.30133920907974243,
-0.05897967517375946,
-0.38549378514289856,
-0.05179827660322189... |
Definition: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Input: English sentence: 14 An acute isosceles triangle, is inscribed in a circle.
Output: | 14 Isang matinding tatsulok isosceles, ay inscribed sa isang bilog. | 2 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.1759498417377472,
0.7649698853492737,
-0.04010843485593796,
-0.470897376537323,
0.5291451811790466,
-1.0298469066619873,
0.6907773017883301,
0.6227477192878723,
0.35130906105041504,
0.15947479009628296,
-0.1179770827293396,
0.3482631742954254,
-0.20084640383720398,
-0.397360622882843,
... |
In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
One example: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solution is here: a, 931, 13245
Explanation: Here, every 3rd element from array are 'a', '931', an... | 153, 371, 2925, 6493, 9251, u, 6079, 1529, O, 1529, 6417 | 6 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.1715458780527115,
-0.033643655478954315,
-0.3819350004196167,
-0.7032755017280579,
-0.22547778487205505,
-0.33353379368782043,
0.5051069259643555,
0.5027356743812561,
-0.5241861343383789,
-0.07915579527616501,
-0.790438175201416,
0.3681696653366089,
0.010521166026592255,
0.18880537152290... |
Part 1. Definition
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Part 2. Example
អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួតពានរង្វាន់ពិភពលោកនៃកីឡាបាល់ឱបឆ្នាំ2007ដែលប្រព្រឹត្... | 「それは私の記憶であり、私の記憶はAWB契約について持ち上がった疑惑と、DFATおよびニューヨークでのミッションがそれに対応しており、心に留めてほしいのは、私はニューヨークでの国連のミッションや国連石油食料交換プログラムへの直接的な官僚的責任を持たないことだ」と彼は語った。 | 7 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.44648006558418274,
0.3770941495895386,
-0.7233521342277527,
0.32976675033569336,
-0.15084052085876465,
-0.8976288437843323,
0.165615513920784,
0.3310321569442749,
0.05428023636341095,
-0.7126718759536743,
-0.5727616548538208,
0.6047027111053467,
-0.696072518825531,
0.5638054609298706,
... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | Solution: [9, 51, 228, 126, 144, 196, 21, 90] | 5 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.3523592948913574,
0.5229585766792297,
-0.247528076171875,
-0.021314799785614014,
0.1695655882358551,
-0.06263561546802521,
1.0451879501342773,
0.48904627561569214,
-0.26511505246162415,
0.14543628692626953,
-0.49753260612487793,
0.19656115770339966,
-0.39835962653160095,
-0.351450353860... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | The hotel had a big elevator parking lot.
| 1 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.4801705479621887,
0.7673821449279785,
-0.02596907690167427,
-0.07215024530887604,
-0.07203459739685059,
0.030579637736082077,
-0.21590806543827057,
0.4307750165462494,
-0.49909287691116333,
-0.47608041763305664,
0.15240725874900818,
0.17536480724811554,
-0.36305662989616394,
-0.815947711... |
Given the task definition, example input & output, solve the new input case.
Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
Example: According to Gran , the company has no plans to move all production to Russia , alt... | neutral | 1 | NIv2 | task843_financial_phrasebank_classification | fs_opt | [
-0.5449644327163696,
-0.010717391967773438,
-0.18163517117500305,
-0.09442564100027084,
0.29268449544906616,
0.6369642615318298,
0.36873382329940796,
0.8203994631767273,
0.11551010608673096,
0.4655155837535858,
-0.1712150275707245,
0.2884819507598877,
-0.022834114730358124,
-0.544864833354... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | False | 8 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
0.042656272649765015,
0.13948841392993927,
-0.18476420640945435,
0.12778496742248535,
0.28036266565322876,
-0.11580219864845276,
-0.025538522750139236,
1.007234811782837,
-0.14126113057136536,
0.5152007341384888,
-1.1723729372024536,
0.157120943069458,
-0.006733694113790989,
0.233545169234... |
Detailed Instructions: 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.
See one example below:
Problem: Twenty-year-old Will Hunting of South Boston is a self-taught, ... | Answer: Vietnam War | 4 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.3942723274230957,
0.47925302386283875,
-0.4329136610031128,
-0.37399864196777344,
0.4252857565879822,
-0.4793218970298767,
0.7264604568481445,
0.6460721492767334,
-0.015623316168785095,
0.3918758034706116,
0.12869113683700562,
0.5282145738601685,
-0.8166772127151489,
0.4333367943763733,
... |
Detailed Instructions: You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
Problem:After eating, exercise is not well recomended, so ... | False | 8 | NIv2 | task116_com2sense_commonsense_reasoning | zs_opt | [
-0.3627816438674927,
0.44196921586990356,
-0.25478917360305786,
0.344762921333313,
-0.532511293888092,
-0.7798264622688293,
0.12359052896499634,
0.6739389896392822,
-0.2745097875595093,
0.15573400259017944,
-0.8293721675872803,
-0.11027581244707108,
-0.1347714215517044,
0.10616573691368103... |
Part 1. Definition
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.... | No | 7 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.7267109155654907,
0.2248474657535553,
0.4170350432395935,
0.1548844575881958,
-0.4289555549621582,
-0.7703346014022827,
1.186506986618042,
0.6162618398666382,
-0.14998885989189148,
-0.6136090755462646,
-0.6047189235687256,
-0.08425819873809814,
-0.5374994277954102,
0.33182114362716675,
... |
Detailed Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Problem:Context... | what does melania trump wish? | 8 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-1.1687440872192383,
0.8423659205436707,
-0.08477430045604706,
0.30791229009628296,
0.2712497413158417,
-0.7275856733322144,
-0.019903035834431648,
0.11114931106567383,
-0.12714146077632904,
-0.22181180119514465,
-0.44513338804244995,
0.42659372091293335,
-1.0749928951263428,
-0.4542161822... |
Teacher: 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, with less than 15 words. New information can be introduced. Avoid usin... | The man has cart and is walking on the street. | 2 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.30617958307266235,
0.713339626789093,
0.8463876247406006,
-0.5509124994277954,
0.4586638808250427,
-0.6853644251823425,
-0.48647207021713257,
0.6606498956680298,
-0.020232556387782097,
0.14294973015785217,
-0.5112524628639221,
0.10884901881217957,
-0.6281735301017761,
-0.696166515350341... |
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".
Input: Consider Input: Review: I thought this was a very good movi... | Output: no
| 2 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.13540413975715637,
0.4107280373573303,
-0.4240584075450897,
0.39801329374313354,
0.36682820320129395,
-0.3567914068698883,
1.0030635595321655,
1.2715551853179932,
-0.16342397034168243,
0.00872896984219551,
-0.12475059926509857,
0.20573142170906067,
-0.6661121845245361,
0.282248347997665... |
Detailed Instructions: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Problem:name an animal that you hear at night
Solution: | dog | 8 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
-0.19218730926513672,
1.343012809753418,
-0.15225279331207275,
-0.09160932898521423,
-1.0628780126571655,
-0.7665392756462097,
0.8128803968429565,
0.3188317120075226,
-0.1599949598312378,
-0.10750626772642136,
-0.32043778896331787,
0.30799999833106995,
-1.0580408573150635,
-0.5046935081481... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | I was offered the job and took it. | 8 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.2176036834716797,
0.7463172674179077,
-0.022667761892080307,
-0.790608286857605,
-0.4260914921760559,
0.5280386209487915,
0.29309016466140747,
0.5258744955062866,
-0.2797067165374756,
-0.3362581133842468,
-0.5123487710952759,
0.013456635177135468,
0.0374104380607605,
-0.1009769663214683... |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of ... | Race | 4 | NIv2 | task280_stereoset_classification_stereotype_type | zs_opt | [
-0.25134527683258057,
0.4397648572921753,
-0.012990021146833897,
0.5602726936340332,
-0.10003814101219177,
0.6073079705238342,
1.1873447895050049,
0.5504422187805176,
0.6496939063072205,
0.14510706067085266,
-0.73943030834198,
0.0019852807745337486,
-0.4418080449104309,
0.04942864924669266... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
what is the main language in Jamaica Inn? | English | 0 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.09961671382188797,
0.3904947340488434,
-0.6430823802947998,
0.11845141649246216,
-0.34880533814430237,
-0.12672895193099976,
0.8329124450683594,
-0.27382147312164307,
0.0661146268248558,
-0.4799613356590271,
0.37128210067749023,
-0.22146490216255188,
-1.0278035402297974,
-0.084941044449... |
Definition: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round... | [-122, 19.0, -122, 246, -22.5] | 2 | NIv2 | task368_synthetic_even_or_odd_calculation | zs_opt | [
-0.605475127696991,
0.6162952184677124,
-0.1884218454360962,
-0.1380411982536316,
0.2740388512611389,
0.060617219656705856,
1.1378703117370605,
0.09357185661792755,
0.15680986642837524,
0.44591259956359863,
-0.6423777937889099,
-0.3207220435142517,
-0.3320462703704834,
-0.16624431312084198... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
One example: อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ของการแข่งขันรักบี้เวิลด์คัพปี2007 ที่สนามปาร์กเดแพร็งส์ ที่กรุงปารีส ประเทศฝรั่งเศส
Solu... | 連合副会長のエイミー・ワッサー-シンプソン氏によると、男は発砲前に「私はイスラエルに腹を立てているムスリムのアメリカ人だ」と叫んだ。 | 6 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
0.010779484175145626,
0.4268331527709961,
-0.6286654472351074,
0.36953648924827576,
-0.14035193622112274,
-0.5472208261489868,
0.24081631004810333,
0.43011578917503357,
0.4380778968334198,
0.06730787456035614,
-0.8077691793441772,
1.3141231536865234,
-0.6703025102615356,
0.5430816411972046... |
In this task, you will be presented with a question having multiple possible answers in Vietnamese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
One example: Question: Quạt điện đã kêu quá to và làm phiền người khác, mặc dù họ để nhiều thứ... | C | 6 | NIv2 | task1130_xcsr_vi_commonsense_mc_classification | fs_opt | [
0.4148162007331848,
0.2077942192554474,
-0.7014778256416321,
0.09567534178495407,
-0.10271988809108734,
-0.5363393425941467,
0.7768396735191345,
0.7328355312347412,
0.3702513575553894,
0.20279338955879211,
-0.08651620894670486,
0.30472105741500854,
0.21863961219787598,
-0.7333291172981262,... |
In this task, given a sentence in the Vietnamese language, your task is to convert it into the English language.
Example input: Theo Trung tá Forbes Peters của Hải quân Australia, các quan chức Indonesia cũng hài lòng như các thủy thủ, Peters nói rằng "Các tùy viên hải quân và đại sứ đang ở đây và họ ôm chặt vào Trung... | He issued an injunction against the use of the test. | 3 | NIv2 | task536_alt_translation_vi_en | fs_opt | [
-0.03309598192572594,
0.15750795602798462,
-0.46502894163131714,
-0.5212053060531616,
0.2776453495025635,
-0.7900643348693848,
0.3711640238761902,
-0.48986440896987915,
0.8242092132568359,
-0.04646582528948784,
-0.11111602187156677,
1.0512115955352783,
0.16492360830307007,
0.01159123331308... |
Detailed Instructions: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Q: Statement: ah i jig when they jog Choices:... | 1 | 9 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
-0.2892035245895386,
0.10490509867668152,
-0.4803681969642639,
0.4166303277015686,
-0.016823558136820793,
-0.7003355026245117,
-0.1333073526620865,
0.7622337341308594,
-0.3382316827774048,
-0.3148685395717621,
-0.6316767930984497,
-0.624131441116333,
-0.09061776101589203,
-0.52427232265472... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Q: Article: A cafe owner has defended h... | Yes | 4 | NIv2 | task310_race_classification | zs_opt | [
0.9901340007781982,
0.1527857482433319,
-0.3257579505443573,
0.12801551818847656,
0.09139922261238098,
0.07862412929534912,
1.0550649166107178,
0.8395103216171265,
0.14760568737983704,
0.4474267363548279,
0.7705156803131104,
0.38693201541900635,
-0.2846837043762207,
0.19710835814476013,
... |
Definition: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: if 2994 ã · 14.5 = 173 , then 29.94 ã · 1.45 = ?
Options: a ) 17.1 , b ) 17.3 , c ) 17.5 , d ) 17.7 , e ) 17.2
Output: | b | 2 | NIv2 | task1420_mathqa_general | zs_opt | [
0.06048191711306572,
0.030024994164705276,
-0.45780420303344727,
-0.6015077829360962,
0.15392115712165833,
-0.18382292985916138,
0.8411273956298828,
0.2288626730442047,
0.10982752591371536,
-0.14310646057128906,
-1.0660712718963623,
0.02032056450843811,
0.20312047004699707,
-0.174932673573... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [-210, -346, 23.0, -2.5, 21.0, -298, 182, 238, 5.0, -58, -20.5]
| 7 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.43442413210868835,
0.4626951813697815,
-0.2317541390657425,
-0.2172464281320572,
0.05110235884785652,
0.22412341833114624,
1.1000192165374756,
0.1826249361038208,
-0.49719327688217163,
0.19184136390686035,
-1.1481083631515503,
-0.3091667890548706,
-0.48797979950904846,
-0.28439560532569... |
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... | No
| 0 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.4961071014404297,
0.25053417682647705,
0.448411226272583,
0.19367194175720215,
-0.5150265693664551,
-0.9752029180526733,
0.9798805713653564,
0.6079238653182983,
-0.5498809218406677,
-0.3435920178890228,
-0.7654988765716553,
-0.38849931955337524,
-0.7843765020370483,
0.057927556335926056,... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Let me give you an example: The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caus... | Autopsy in critical illness: is it obsolete? | 8 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.6315009593963623,
0.1426437795162201,
-0.4696767330169678,
0.26702171564102173,
0.6617244482040405,
0.002023892942816019,
0.4717182219028473,
1.0137313604354858,
-0.3803025186061859,
0.8869478702545166,
-0.1604028344154358,
1.0853805541992188,
-0.14514806866645813,
0.5037368535995483,
... |
Q: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
the movie Tennessee Johnson, when was it released?
A: | 1942 | 7 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
0.2549913227558136,
1.5330029726028442,
-0.43714067339897156,
1.393451452255249,
0.2895781099796295,
-0.4896460175514221,
0.3805999159812927,
1.3845466375350952,
0.18779127299785614,
0.6989166736602783,
0.1842065304517746,
-0.1563267707824707,
-0.5618778467178345,
-0.7752025127410889,
-0... |
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