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 |
|---|---|---|---|---|---|---|
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, mixing things, s... | The easiest way to clean detritus from the sand in an aquarium is to use a long, flexible piece of plastic tubing. Start a syphon, and use the tubing to vacuum the bottom, syphoning the dirty water and detritus into a bucket to be added back to the tank. | 8 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.3832220137119293,
0.6096018552780151,
-0.9551122188568115,
0.04155251756310463,
-0.2083134651184082,
-0.7231692671775818,
0.39650046825408936,
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-0.16185049712657928,
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0.3712475299835205,
0.44565629959106445,
-0.4801766574382782,
-0.38181596994400024,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Q: Jeśli ktoś mógłby sięgnąć pod krzesło przed sobą - znajdziecie tam przyklejone coś.
A: | اگه یه نفر لطفا دست کنه زیر یه صندلی یکی از این اسباب بازی ها رو اون زیر خواهد یافت. | 4 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.5366960763931274,
1.0428022146224976,
-0.3443301320075989,
-0.6898735761642456,
-0.4991989731788635,
-0.35227885842323303,
1.580704689025879,
-0.5866445302963257,
0.3753150701522827,
0.38643789291381836,
-0.2949438989162445,
0.49578857421875,
-0.4763793349266052,
0.9960426688194275,
0... |
In this task, you need to reverse the order of words in the given sentence.
Example: Sentence: luggage surrounds a vehicle in an underground parking area
Example solution: area parking underground an in vehicle a surrounds luggage
Example explanation: This is a correct answer, as it correctly reverses the order of the ... | Solution: sleigh open onehorse a in snow the through ride a enjoying is couple the | 5 | NIv2 | task376_reverse_order_of_words | fs_opt | [
-0.06600615382194519,
1.1628550291061401,
-0.48619312047958374,
-0.2323777675628662,
0.18568599224090576,
0.22810325026512146,
-0.03828582912683487,
0.4560791850090027,
0.9375796914100647,
-0.6970416307449341,
-0.9652564525604248,
-0.19817709922790527,
0.023450572043657303,
-0.225089162588... |
Detailed Instructions: 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 ev... | No | 8 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.4921603500843048,
0.4845513701438904,
0.2103949785232544,
-0.059625640511512756,
-0.5865089893341064,
-1.081616759300232,
1.2014245986938477,
0.41444098949432373,
-0.6107209920883179,
-0.444915235042572,
-0.624110221862793,
-0.5412756204605103,
-0.5421684980392456,
0.3870907425880432,
... |
Teacher: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on ... | non-personal | 2 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.4285510182380676,
0.07389048486948013,
0.06075070798397064,
0.060600921511650085,
-0.38520097732543945,
-0.41260361671447754,
0.855371356010437,
0.5853582620620728,
0.16943515837192535,
0.0579213909804821,
-0.2020445168018341,
0.1666698157787323,
-0.042295996099710464,
-0.16758304834365... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | weakener | 3 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.3287162780761719,
0.8334499597549438,
0.11277197301387787,
-0.1735588014125824,
0.142581045627594,
-1.0590131282806396,
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0.738909125328064,
0.46914902329444885,
-0.9071100354194641,
-0.9437101483345032,
0.30995863676071167,
-0.37889009714126587,
-0.08758392930030823,
... |
Instructions: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Input: Tagalog sentence: Ito ay nakasulat sa isang maliwanag at estilo ay isang magandang pagpapakilala sa subject kahit para sa isang baguhan.
Output: | It is written in a lucid style and is a good introduction to the subject even for a beginner. | 3 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
0.5353385806083679,
0.3090171813964844,
0.14956480264663696,
-0.6565417647361755,
0.5038975477218628,
-0.8018553256988525,
0.27750229835510254,
0.8899922370910645,
-0.02728375419974327,
0.12831123173236847,
-0.42650550603866577,
0.043066225945949554,
-0.4181022644042969,
-0.144202113151550... |
You will be given a definition of a task first, then some input of the task.
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., Person... | No | 1 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.13521330058574677,
0.36453789472579956,
0.3146996796131134,
-0.11664241552352905,
-0.28664809465408325,
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1.2591683864593506,
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-0.6771432161331177,
-0.343330979347229,
-0.1212766095995903,
-0.47294682264328003,
-0.5386923551559448,
0.41611629724502... |
Detailed Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation ... | strengthener | 8 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.07535967975854874,
0.500935435295105,
-0.18259763717651367,
0.25030460953712463,
-0.1341213434934616,
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0.8597851991653442,
1.2359999418258667,
0.4765021800994873,
-0.3593929409980774,
-1.3082460165023804,
0.073759526014328,
-0.6678844690322876,
-0.10087165236473083,
... |
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. If the conversation begins with a question, label it '1' otherwise '0'.
Example: Person1: Passport , please , madam... | 0 | 1 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.08054541051387787,
0.45890796184539795,
-0.2107885777950287,
0.2565819323062897,
0.3177095353603363,
0.04481511563062668,
0.7166440486907959,
0.03504529595375061,
0.3412701487541199,
-0.11889900267124176,
-0.21959543228149414,
-0.5818697810173035,
-0.0714118629693985,
-0.1982359588146209... |
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Billet Head.
Intloko yebhilethi.
A high contrary wind is necessary to overcome the effect of a moderate stream.
Sisithethe ukumisa kumsinga womoya one-... | Inkangeleko yomzantsi mayikhangelwe
| 0 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
-0.23585820198059082,
0.8737179636955261,
-0.2627454996109009,
-0.4335591495037079,
0.17839235067367554,
-1.0151069164276123,
1.0099928379058838,
-0.1658109873533249,
0.5294449329376221,
-0.4861728549003601,
-0.4411180317401886,
-0.5709380507469177,
-0.10729861259460449,
0.2613299489021301... |
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 | [
-0.8904716968536377,
0.13193844258785248,
0.12624399363994598,
-0.31251615285873413,
-0.21680210530757904,
-0.6073863506317139,
0.6699232459068298,
1.2674083709716797,
0.39109116792678833,
0.46257907152175903,
-0.30887076258659363,
0.13342750072479248,
-0.15149015188217163,
0.3618058860301... |
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 are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente... | (Laughter) There will be software companies, there will be hotels, there will be bars. | 0 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.9716877937316895,
0.5245967507362366,
0.14036248624324799,
-0.12092134356498718,
-0.1996927261352539,
0.600598931312561,
0.4355006217956543,
0.9623590111732483,
-0.16733278334140778,
-0.06505024433135986,
-0.404502272605896,
0.23978249728679657,
-0.4754312038421631,
-0.08805912733078003... |
Detailed Instructions: 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 ... | Lane found ethnicity question confusing. | 8 | NIv2 | task067_abductivenli_answer_generation | zs_opt | [
-0.5151422023773193,
0.6640625,
-0.0679125264286995,
-0.6663166880607605,
-0.18623028695583344,
0.3582553565502167,
1.0393646955490112,
0.42490583658218384,
-0.14356976747512817,
-0.1434326171875,
-0.274044930934906,
0.438724160194397,
-0.19280722737312317,
-0.11557117849588394,
-0.25000... |
In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
Wouldn't work on my S5 | Negative | 0 | NIv2 | task761_app_review_classification | zs_opt | [
-1.0856807231903076,
-0.13561028242111206,
-0.16532939672470093,
-0.7401619553565979,
0.1566314846277237,
-0.6429688334465027,
0.1501389741897583,
0.28180378675460815,
0.3719518780708313,
0.5317179560661316,
-0.7921066284179688,
-0.3350033164024353,
0.16783767938613892,
-0.1091972589492797... |
Detailed Instructions: In this task, you are given a sentence in English language and its corresponding French translation. Here, your job is to output "yes" if the translation is correct, otherwise output "no".
Q: English: What, if anything, could the Pavilion do in order to enhance your organization’s overall experie... | yes | 9 | NIv2 | task831_giga_fren_classification | zs_opt | [
-0.38917264342308044,
0.32404568791389465,
0.203844353556633,
-0.2537449300289154,
0.18813088536262512,
-0.8364613056182861,
0.4452308416366577,
0.27773627638816833,
0.4005899131298065,
0.42768365144729614,
0.1005745381116867,
-0.043673548847436905,
-0.4684235155582428,
0.7065760493278503,... |
In medical studies, the efficacy of medical treatments (called interventions) is evaluated within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that describe the intervention(s) of the study. You should list the phrase in the same order that they... | not found
****
| 4 | NIv2 | task180_intervention_extraction | fs_opt | [
-0.21996614336967468,
0.14095869660377502,
-0.34677255153656006,
-0.8888950347900391,
-0.2481074333190918,
-0.2180657982826233,
0.6819841861724854,
0.8489020466804504,
0.16169047355651855,
0.34770745038986206,
-1.026782512664795,
0.2848033308982849,
-0.4944646954536438,
-0.2504880428314209... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
See one example below:
Problem: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Solution: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Explanat... | به عقیده ی من چنین دیدگاهی به بهترین وجه نه وسیله ی یه دین شناس یا فیلسوف ، بلکه وسیله ی همفری بوگارت در پایان فیلم "" کازابلانکا "" بیان شده. ببخشید اگه فیلم رو ندیدید ، به عشقش میگه که باید برای مصالحی کلی تر از هم جدا شن. بهش می گه ، نمی تونم لهجه اش رو تقلید کنم ، اما بهش می گه "" پی بردن به این که مشکلات سه تا آدم... | 4 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.4628746807575226,
0.4830976724624634,
-0.2794216275215149,
-0.16739016771316528,
-0.3116346001625061,
-0.3042604327201843,
1.12642240524292,
0.06446632742881775,
-0.14611545205116272,
-0.16051295399665833,
-0.8548818826675415,
0.28448933362960815,
-0.7434886693954468,
0.09530403465032578... |
Part 1. Definition
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 prob... | मेरी बेटियाँ रात भर खुली पर बात कर सकती हैं. | 7 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.4467979073524475,
0.7400553226470947,
0.23923587799072266,
-0.06462247669696808,
-0.6634613871574402,
-0.7831838726997375,
0.5724220275878906,
0.7385716438293457,
-0.1435411423444748,
-1.0172927379608154,
-1.3078125715255737,
0.3340035676956177,
-0.546432614326477,
-0.09593796730041504,... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
One example: In the southwestern part of Nigeria, the plant is known as Gbe'borun.
Solution is here: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe 'borun شناخته می شود.
Explanation: The English sentence is correctly translat... | می دونید که ما آن را دیده ایم — بر روی CD-ROM ها چیزهای فرامتنی داشته ایم | 6 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.21225443482398987,
0.22314007580280304,
-0.07614153623580933,
0.08788595348596573,
-0.13404633104801178,
-0.6547890305519104,
1.4884893894195557,
0.2657722532749176,
-0.15537914633750916,
0.5529165267944336,
-0.7562596797943115,
0.17422516644001007,
-0.9436064958572388,
0.61133742332458... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | vinegar.
| 3 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.5499811172485352,
1.0313750505447388,
-0.10142403095960617,
0.12817388772964478,
-0.17605750262737274,
-1.1529126167297363,
0.19848313927650452,
0.498130202293396,
0.13401851058006287,
-0.2373800277709961,
-0.9121612310409546,
0.5042045712471008,
-0.5823496580123901,
-0.1725410372018814,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Input: Consider Input: تكلفة الطاقة الشمسية انخفضت 50 بالمئة منذ السنة الماضية.
Output: هزینه انرژی خورشیدی ۵۰ درصد کمتر از سال گذشته بوده است.
Input: Consider Input: فان ذلك سيأخذ بين واحد إلى ثلاثة كيلومتر مربع من البصمة ... | Output: خیلی از مردم فکر می کنند که خواهند شد.
| 2 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.6010844111442566,
1.1324992179870605,
-0.7106994390487671,
-0.8006367683410645,
-0.5769877433776855,
-0.6512908339500427,
0.758665919303894,
0.4500516653060913,
1.055814266204834,
0.002766472054645419,
-0.5256819128990173,
0.4953151345252991,
-0.01401288527995348,
0.018486734479665756,
... |
Teacher:In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Teacher: Now, understand the problem? Solve this instance: It's like a bee hive.
Student: | Is your department busy this time of year? | 6 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.22258839011192322,
0.42334312200546265,
0.2588372230529785,
0.22876256704330444,
0.2121371030807495,
-1.210647463798523,
-0.10780207812786102,
1.0418217182159424,
-0.1767292618751526,
-0.15223893523216248,
-0.06261547654867172,
-0.27515891194343567,
-0.5639269351959229,
-0.6695526838302... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | WP VBZ DT NN IN NNS WP MD VB DT NN IN DT NN IN DT NN WP$ NN VBZ NN IN DT NNS . | 3 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
0.1085016280412674,
0.5063751935958862,
-0.7191488742828369,
0.8088032007217407,
-0.20401877164840698,
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0.9949418902397156,
0.15093010663986206,
-0.08517815172672272,
-0.08745788037776947,
-0.6801800727844238,
0.47622424364089966,
-0.48077619075775146,
0.214779019355773... |
Given the task definition and input, reply with output. 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 conjuncti... | NN | 5 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.15036094188690186,
0.35171180963516235,
-0.18594618141651154,
1.0902595520019531,
0.17638660967350006,
-0.9850667715072632,
0.6883547306060791,
0.9306484460830688,
-0.6893006563186646,
-0.07215478271245956,
-0.20689111948013306,
-0.20996493101119995,
-0.06045600771903992,
-0.223900213837... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Example input: Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um planeta do tipo da Terra que poderá ter vida, mas ainda não vimos nenhum deles.
Example ou... | Looking at one of these particular summaries, I can then drill into the concept of Time magazine Person of the Year, bringing up all of them. | 3 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.44853460788726807,
0.6646571159362793,
0.03287121653556824,
-0.560976505279541,
-0.2951011061668396,
-1.009870171546936,
-0.1137881651520729,
0.0006091436371207237,
0.49178391695022583,
-0.6858550310134888,
-0.11536656320095062,
0.4724767506122589,
-0.5226194262504578,
0.121377825736999... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Q: أمي كانت تقول عن ذلك بأنه شيء يجعل حياتك أصعب وأبدع أكثر مما قد تتصور.
A: Mia madre descriveva l'essere genitore come quello che rende la vita molto più meravigliosa e difficile di quanto si possa immaginare.
****
Q: ان ... | E poi dobbiamo fornire formazione, sviluppo delle capacità.
****
| 4 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.32191741466522217,
0.3698214292526245,
0.07133220136165619,
-0.35630717873573303,
-0.8138695359230042,
-0.10576856136322021,
0.615796685218811,
1.408933401107788,
0.33341607451438904,
-0.38510745763778687,
-0.8520313501358032,
0.09146265685558319,
-1.1388187408447266,
0.514594554901123,... |
Given the task definition and input, reply with output. In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including app... | Non-identity-attack | 5 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.546678364276886,
0.905528724193573,
0.09772691130638123,
0.23054131865501404,
-0.20396700501441956,
-0.23651918768882751,
0.5924296379089355,
0.23034243285655975,
0.5908376574516296,
0.025167595595121384,
0.028584016487002373,
0.08277919143438339,
-0.5338691473007202,
-0.731899380683898... |
Detailed Instructions: Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Problem:Tar And Feather Him And Run Him Out Of Town..... Oh wait I guess we can't do that now days..... So just SLAP HIM and tell him to straighten up!!!!
Solution: | Yes | 8 | NIv2 | task1722_civil_comments_threat_classification | zs_opt | [
0.3296888768672943,
1.3769323825836182,
0.9349856972694397,
0.16189420223236084,
-0.14451563358306885,
-0.38848114013671875,
0.3505631983280182,
0.8715837001800537,
0.0712648257613182,
0.2927679717540741,
-0.4065386950969696,
0.3001927137374878,
-1.0515952110290527,
-0.8398379683494568,
... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Nie utraciłem przecież zdolności myślenia i pisania.
A: | As minhas capacidades de pensar e escrever não foram afectadas. | 7 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.7482901811599731,
1.1088464260101318,
0.34167125821113586,
-0.5150892734527588,
-0.11251313239336014,
-0.5383013486862183,
0.9164854288101196,
-0.21299701929092407,
0.4235454201698303,
-1.010251522064209,
-0.052076030522584915,
0.4273853302001953,
-0.5318931341171265,
0.6603869199752808... |
In this task you are given a premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Let me... | 2 | 8 | NIv2 | task1176_xcopa_commonsense_reasoning_ta | fs_opt | [
-0.14794108271598816,
0.8136152029037476,
0.3864224851131439,
0.28104859590530396,
-0.03251353278756142,
-0.4837947189807892,
-0.2631762623786926,
0.882696807384491,
0.11302009224891663,
0.6385337114334106,
-0.5639338493347168,
0.06215141341090202,
-0.15659034252166748,
-0.2946712970733642... |
Part 1. Definition
In this task, you need to provide the correct option for a given problem on probability from the provided options.
Part 2. Example
Problem: in a throw of a coin find the probability of getting a tail ?
Options: a ) 1 / 2 , b ) 1 / 3 , c ) 1 / 4 , d ) 2 / 5 , e ) 2 / 7
Answer: a
Explanation: "s = { h... | a | 7 | NIv2 | task1424_mathqa_probability | fs_opt | [
0.06988503783941269,
0.3514896333217621,
-0.3894917964935303,
-0.2282746285200119,
0.0010788217186927795,
0.025989744812250137,
1.017314076423645,
0.7120667099952698,
0.26780080795288086,
0.17497366666793823,
-0.3785574436187744,
0.26113396883010864,
0.08610033988952637,
-0.177883982658386... |
In this task, you are given a list of unique integers you need to swap the positions of maximum and minimum element in the list and return the updated list.
[272, 456, 486, 115, 337, 359, 195, 108, 216, 68, 421, 435, 83, 134, 348, 69, 99, 476, 427, 145] | [272, 456, 68, 115, 337, 359, 195, 108, 216, 486, 421, 435, 83, 134, 348, 69, 99, 476, 427, 145] | 0 | NIv2 | task1151_swap_max_min | zs_opt | [
-0.3319697678089142,
-0.024319522082805634,
-0.11165730655193329,
-0.2873445451259613,
-0.6850020885467529,
-0.3104434013366699,
1.0661756992340088,
-0.058994367718696594,
-0.6131759881973267,
0.07012884318828583,
-0.7556599378585815,
-0.15781468152999878,
0.11818757653236389,
0.1957166790... |
Instructions: You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Input: System Reference: the wharf inn, phone number is 4156737411, and the postcode is 94133.
Origina... | 0 | 3 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.5656068325042725,
0.7651699781417847,
-0.5061353445053101,
-0.4586757719516754,
0.48802393674850464,
-0.5466513633728027,
0.8047341108322144,
-0.5216578245162964,
-0.34143006801605225,
-0.30578505992889404,
-0.7595136761665344,
0.1161855012178421,
-0.2547762393951416,
-0.286141872406005... |
Detailed Instructions: Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question.
Q: Question... | which country was pinckney's treaty signed with? | 9 | NIv2 | task442_com_qa_paraphrase_question_generation | zs_opt | [
0.4761369824409485,
1.031245470046997,
0.15660107135772705,
-0.6535962820053101,
-0.5101057291030884,
-0.31173765659332275,
2.0836353302001953,
0.30565863847732544,
-0.5221064686775208,
-0.17776066064834595,
-0.6324844360351562,
0.24392595887184143,
-0.7471750378608704,
0.973210871219635,
... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Image copyright PA Image caption The Great Clock has three dedicated clocksmiths who maintain it
Big Ben's bongs could fall silent if repairs costing up to £40m are not carried out, politic... | Big Ben's bongs may fall silent for months or even years as urgent repairs are carried out. Two of Britain's largest newspapers reported Sunday that Parliament's massive clock and the tower that supports it need as much as $61.7 million in repairs—work that will silence the famous bell. The Sunday Times, citing a Westm... | 0 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.5221594572067261,
1.003220558166504,
-0.7151206731796265,
0.044689204543828964,
0.8474451303482056,
-0.6035582423210144,
0.049940332770347595,
0.6604245901107788,
-0.7490819692611694,
0.06484337151050568,
0.24211759865283966,
0.7608857750892639,
-0.10375317931175232,
0.10816831886768341,... |
Detailed Instructions: The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please be... | Some of these experiences may contradict official reports, but it is critical to understand that all residents of Nigeria do not have one unified experience. | 9 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.4379575550556183,
0.6689391136169434,
0.03476734459400177,
0.2826496362686157,
0.19837114214897156,
-0.8036961555480957,
0.503345787525177,
0.4993909001350403,
-0.1788794845342636,
-0.40991395711898804,
-0.18099918961524963,
0.3755502700805664,
-0.3252093195915222,
0.28916874527931213,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a review of a product in the Polish language. Your task is to classify the given product review into these three categories: 1) positive, 2)neutral, 3) negative based on its content.
Example: Text: Biję się z myślam... | negative | 1 | NIv2 | task634_allegro_reviews_classification | fs_opt | [
-0.8151977062225342,
0.7407493591308594,
-0.12766702473163605,
0.049412768334150314,
0.32179543375968933,
-0.16716203093528748,
0.8324719667434692,
0.5500118732452393,
-0.03200351446866989,
0.4897158741950989,
-0.05365385487675667,
0.6690158843994141,
-0.5328214168548584,
0.334690541028976... |
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follo... | user
| 7 | NIv2 | task1599_smcalflow_classification | fs_opt | [
-0.2496364563703537,
0.586054801940918,
-0.1657579243183136,
-0.05860251560807228,
-0.5361493825912476,
-0.018578052520751953,
0.44768044352531433,
-0.06288427114486694,
0.2169521450996399,
-0.22127555310726166,
-0.26974600553512573,
-0.09948892891407013,
-0.6490026116371155,
0.28083905577... |
Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks ... | I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WA... | 3 | NIv2 | task130_scan_structured_text_generation_command_action_long | zs_opt | [
0.12803560495376587,
0.6985335350036621,
-0.5130564570426941,
0.3404211401939392,
0.06804033368825912,
-0.15643709897994995,
-0.09420841932296753,
0.3716309666633606,
-0.28549593687057495,
-0.026485534384846687,
-0.8149698972702026,
-0.2953316569328308,
-0.5154231786727905,
-0.274629175662... |
Teacher:Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a ... | I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN | 6 | NIv2 | task130_scan_structured_text_generation_command_action_long | zs_opt | [
0.10051348805427551,
0.8896092176437378,
-0.31669527292251587,
0.10183869302272797,
-0.1245613694190979,
-0.014291608706116676,
0.015334352850914001,
0.058663006871938705,
-0.22860126197338104,
-0.30871978402137756,
-0.7154483795166016,
-0.3132089376449585,
-0.6149097681045532,
-0.27579107... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
M... | Mac OS X-användare: | 1 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | zs_opt | [
0.13035309314727783,
0.6688944101333618,
-0.4522189199924469,
-0.8662230968475342,
0.1793580949306488,
-0.28935718536376953,
0.5718421936035156,
0.5403740406036377,
0.7833269834518433,
0.13565337657928467,
0.0722067654132843,
0.2544216513633728,
-0.17178216576576233,
-0.11396832764148712,
... |
Definition: You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of... | Entity. | 2 | NIv2 | task046_miscellaneous_question_typing | zs_opt | [
0.7997410297393799,
-0.16512586176395416,
-0.2807273268699646,
0.4132506251335144,
-0.16393978893756866,
-1.2238906621932983,
0.8401033878326416,
0.7918332815170288,
-0.5372604727745056,
-0.3081871271133423,
-0.4943617284297943,
0.34156763553619385,
-0.2063623070716858,
-0.0035931426100432... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
See one example below:
Problem: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Le... | Di fatto, si dimostra la stessa cosa della dimostrazione dell'ultimo teorema di Fermat. | 4 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.42546114325523376,
0.825323760509491,
0.31421205401420593,
-0.5163456201553345,
-0.1358766257762909,
-0.7548897862434387,
-0.49943429231643677,
1.2745342254638672,
-0.5867943167686462,
0.04249522089958191,
-0.7704932689666748,
0.46759647130966187,
-0.17280519008636475,
-0.02271132916212... |
Instructions: 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.
Input: 20, ['x', 'h', 'n', 's', 'Z', '7945', '3319', 'J', 'r', '4457', 'x', '1189', '1781', 'W', 'H', '8347', 'N', 'G', '667', '4811', '247', '4827', 'D'... | x, 247, A | 3 | NIv2 | task1542_every_ith_element_from_starting | zs_opt | [
0.25633493065834045,
0.540107011795044,
-0.5939064025878906,
-0.6301355361938477,
-0.5287820100784302,
-0.10367702692747116,
0.8039602041244507,
-0.12860244512557983,
-0.17393508553504944,
-0.15749475359916687,
-0.8485627174377441,
0.13632749021053314,
-0.20528173446655273,
-0.100009009242... |
In this task, you will be given two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect relationship, answer with "plausible", otherwise answer with "not plausible".
Example input: The woman went to the bank... | not plausible | 3 | NIv2 | task392_inverse_causal_relationship | fs_opt | [
-0.9858807325363159,
0.7602081298828125,
0.38307031989097595,
-0.39765283465385437,
-0.16982203722000122,
-0.44587820768356323,
-0.04536032676696777,
0.6971206068992615,
0.7185184955596924,
0.14030057191848755,
-0.8217641115188599,
0.6206242442131042,
-0.20221437513828278,
-0.2802238464355... |
Detailed Instructions: This task is to translate the English language Input to Telugu Language Output
Problem:April 7, 2016
Solution: | ఏప్రిల్ 18, 2016 | 8 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
-0.1259831041097641,
0.8336702585220337,
0.28435564041137695,
-0.05951052904129028,
0.849985659122467,
-0.3837016224861145,
0.06432551145553589,
0.1977120339870453,
0.04336725175380707,
-0.3028038442134857,
0.3749782145023346,
0.06561033427715302,
-0.3507704734802246,
0.33302074670791626,
... |
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been se... | C
| 1 | NIv2 | task534_farstail_entailment | fs_opt | [
0.5184810161590576,
0.42632830142974854,
0.31140851974487305,
0.15087491273880005,
-0.20019356906414032,
-0.2627984881401062,
0.6082693934440613,
0.3660486936569214,
0.320063978433609,
-0.2751826047897339,
-0.3852408528327942,
0.9050778150558472,
-0.7083947658538818,
-0.576535701751709,
... |
This task is about translating a given English language sentence to French.
Let me give you an example: How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change?
The answer to this example can be: Comment devrions nous inscrire l'intention sur tous les ... | Tu peux commencer à expérimenter ta paix. | 8 | NIv2 | task1689_qed_amara_translation | fs_opt | [
-0.14767298102378845,
1.0633540153503418,
0.5476420521736145,
-0.1496123969554901,
0.17594173550605774,
-1.2010058164596558,
0.5114948153495789,
-0.14980028569698334,
0.8071784973144531,
-0.5004540085792542,
0.13921517133712769,
0.6064176559448242,
-0.4375428855419159,
-0.13468685746192932... |
TASK DEFINITION: The task is to generate the correct answer for a given math problem.
PROBLEM: Problem: ? x 12 = 173 x 240
SOLUTION: 3460
PROBLEM: Problem: a and b invests rs . 10000 each , a investing for 6 months and b investing for all the 12 months in the year . if the total profit at the end of the year is rs . ... | 180 kmph
| 8 | NIv2 | task1726_mathqa_correct_answer_generation | fs_opt | [
0.5319424867630005,
0.32027310132980347,
-0.7873653173446655,
-0.5458920001983643,
-0.7578077912330627,
1.038334608078003,
0.7136005759239197,
-0.1354096531867981,
-0.14125794172286987,
-0.6796563863754272,
-0.341972291469574,
0.5296270847320557,
0.04316478967666626,
-0.2991015613079071,
... |
Q: 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.
Yummy! We had the chicago breakfast pizza. Enough for two people. SUPER friendly staff. If we are ever back ... | POSITIVE | 7 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-1.2057726383209229,
0.21246932446956635,
0.10540695488452911,
0.2540134787559509,
-0.2652367055416107,
-0.5563262701034546,
0.47220760583877563,
0.5131869316101074,
0.5926076173782349,
-0.15202131867408752,
0.4739166498184204,
0.2567113935947418,
-0.1938473880290985,
0.2693873643875122,
... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: તેમણે અમેઠીમાં કલાશ્નિકોવ એસોલ્ટ રાયફલનુ ઉત્પાદન કરનાર સંયુક્ત સાહસ ઇન્ડો-રશિયન રાયફલ્સ પ્રા
Soluti... | خساروں کو آگے لے جانے کے سلسلے میں عائد شرائط میں نرمی ۔ | 4 | NIv2 | task1001_pib_translation_gujarati_urdu | fs_opt | [
-0.46925708651542664,
0.33236783742904663,
-0.2394995391368866,
-0.5901191830635071,
-0.2324988842010498,
-0.3191189467906952,
0.6153099536895752,
0.206300750374794,
0.08180117607116699,
-0.5167094469070435,
-1.1346194744110107,
0.05539184808731079,
-0.6796464323997498,
0.3580116927623749,... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | No | 3 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.5833445191383362,
0.46426352858543396,
0.533739447593689,
-0.40800249576568604,
-0.47257527709007263,
-1.1084054708480835,
1.1859811544418335,
0.04328890144824982,
-0.641480028629303,
-0.7960081100463867,
-0.5572254657745361,
-0.3122008442878723,
-0.7432737350463867,
0.02450888231396675,... |
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: You w... | You write on a sheet of homework . | 4 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
0.11206575483083725,
0.7691375613212585,
0.40419265627861023,
-0.7155807018280029,
-0.029787879437208176,
-0.7573817372322083,
0.6224297881126404,
1.0865399837493896,
-0.3603207468986511,
-0.09572484344244003,
-1.2281947135925293,
0.2302931845188141,
-0.25932255387306213,
0.409778356552124... |
Detailed Instructions: In this task, you're given a passage, 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'.
Q: Passage: Benny Moldov... | Answer: German Economic Association | 9 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.09328499436378479,
0.18834331631660461,
-0.5701158046722412,
-0.2490786463022232,
0.029966115951538086,
0.3055628836154938,
0.995724081993103,
0.8488358855247498,
0.25672152638435364,
-0.01401226781308651,
-0.43534159660339355,
0.8459000587463379,
-0.5253065228462219,
0.17712610960006714... |
instruction:
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".
question:
Event:PersonX holds the ___ in PersonX's hands. Intent:
answer:
Positive
question:
Event:PersonX saves so much money. Intent:... | Positive
| 9 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.3151816129684448,
0.4248930811882019,
0.03743070736527443,
-0.3807262182235718,
-0.5609045028686523,
-0.9685466289520264,
0.6877340078353882,
0.48269033432006836,
0.07769085466861725,
-0.17433437705039978,
-0.17244772613048553,
0.5489436388015747,
-0.5453788042068481,
-0.203273877501487... |
Teacher:You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Teacher: Now, understand the problem? Solve this instance: Pers... | 0 | 6 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
0.21848011016845703,
0.004166001453995705,
-0.17337846755981445,
-0.22426268458366394,
0.19697891175746918,
-0.3539452850818634,
0.6790785789489746,
0.4621642529964447,
-0.2790358066558838,
0.07455003261566162,
-0.5501364469528198,
0.1896180361509323,
-0.5807486772537231,
-0.31794565916061... |
Definition: In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
Input: i used to feel sadness about this having fond memories of formation and friendships in tec parishes
Output: | love | 2 | NIv2 | task875_emotion_classification | zs_opt | [
0.0582745224237442,
0.4848552644252777,
0.4773954153060913,
-0.32660794258117676,
-0.16204333305358887,
-1.0417200326919556,
0.8979140520095825,
0.5737361311912537,
0.27892738580703735,
-0.43609097599983215,
-0.26533088088035583,
-0.11830127239227295,
-0.6795381307601929,
-0.08560788631439... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Input: مى دانيد كه شما در آن موقع استاد روياپردازى بوده ايد ؟
Output: | You know, when you were masters of daydreaming? | 3 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.7550081610679626,
0.7452425956726074,
-0.05917859077453613,
-0.4928053021430969,
-0.7733975648880005,
-0.08993719518184662,
0.4999232292175293,
1.1867382526397705,
0.6921790838241577,
-0.2865199148654938,
-0.4541669189929962,
-0.0044050016440451145,
-0.22228527069091797,
0.2145919948816... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Let me give you an example: 処方箋を支払う為の保険は ？
The answer to this example can be: Terán seguro para pagar a receita?
Here is why: The Japanese sentence is correctly translated into Galician, because the meaning is preserved... | Se durante décadas tivemos unha ferramenta sinxela para mantener a saúde especialmente nos pacientes pobres, por que non a usamos? | 8 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.4800698459148407,
1.2545244693756104,
-0.0843820571899414,
-0.5999984741210938,
-0.1079304963350296,
-1.636479139328003,
0.8445794582366943,
0.5383211970329285,
0.04298371076583862,
-0.4039362072944641,
-0.15515580773353577,
0.7867707014083862,
-0.986691415309906,
0.3943106532096863,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Ex Input:
W przypadku śledztwa bardzo pomocnym jest ustalenie przyczyny śmierci, w niektórych przypadkach kieruje to śledztwo na właściwe tory i pomaga ustalić prawdziwą tożsamość mordercy.
Ex Output:
لذا.. ان هذه التقنية تس... | اننا اسبح في الفضاء داخل النفق الهوائي للتجارب مما يعني انني سوف استطيع ان اتدرب على السباحة في الهواء كما اريد بكل أمان قبل الشروع بالقفز.. شكرا جزيلا كوستا
| 1 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-1.0824222564697266,
0.35289931297302246,
-0.7082433104515076,
-0.8871164321899414,
-0.15837162733078003,
0.3672455847263336,
0.8349611759185791,
0.12202191352844238,
0.3066447377204895,
0.10436414182186127,
-0.5878173112869263,
0.10118492692708969,
-0.17065837979316711,
0.6281802654266357... |
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 ... | jump around left thrice and look around right
| 0 | NIv2 | task131_scan_long_text_generation_action_command_long | fs_opt | [
0.5766704082489014,
0.4123503565788269,
-0.2622194290161133,
-0.14399167895317078,
0.2588956952095032,
0.05144469067454338,
0.17457209527492523,
0.8216150999069214,
-0.18066993355751038,
0.014332117512822151,
-0.5895844101905823,
-0.17675526440143585,
-0.6457459926605225,
-0.06636190414428... |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
One example is below.
Q: Sentence 1: Marcus needed clothing for a b... | Broadway bound | 9 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
0.42824894189834595,
0.4325772225856781,
-0.6785688400268555,
0.1146586686372757,
0.5467126369476318,
-0.7381287813186646,
-0.2631160020828247,
0.886594295501709,
0.5089889168739319,
0.3238466680049896,
-0.44394874572753906,
0.23779825866222382,
-0.4180132746696472,
0.4341374635696411,
-... |
Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Let me give you an example: Who influenced the fundamentalist sorry no non-Talib... | disfluent | 8 | NIv2 | task1623_disfl_qa_disfluent_question_classification | fs_opt | [
0.22674521803855896,
0.08219289779663086,
0.1803375631570816,
-0.3272261619567871,
-0.4089949429035187,
-0.2246159315109253,
0.9958493113517761,
-0.0876801386475563,
0.04671459272503853,
-0.21269580721855164,
-0.5488530993461609,
-0.6826866269111633,
-0.701547384262085,
-0.2252197712659835... |
Given the task definition and input, reply with output. Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Naiulat sa isang bidyo na inilagay sa websayt na nagbabahagi ng bidyo na YouTube na nagpa... | 映像共有サイトのYoutubeに映像がアップロードされ、国連平和維持軍が標的とされて爆撃されたのを見せていると報告されている。 | 5 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.6120939254760742,
0.17039372026920319,
-0.2053341567516327,
-0.12780135869979858,
-0.45021939277648926,
0.623897910118103,
0.6225551962852478,
0.2598133981227875,
-0.8072962760925293,
-0.5105628371238708,
-0.32447874546051025,
0.614855170249939,
-0.6784912943840027,
0.43542927503585815,... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: هنا ترون ممارسات براءات الإختراع قبل قواعد منظمة التجارة العالمية ، قبل العام 95 قبل الأدوية المضادة للفيروسات العكوسة.
Student: | כאן אתם רואים את מצב הפטנטים לפני חוקי ארגון הסחר העולמי, לפני שנת 95 '. לפני התרופות האנטי-רטרוויראליות. | 6 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.18370157480239868,
0.4218788146972656,
-0.43715009093284607,
-0.21832822263240814,
-0.4945675730705261,
0.09136611223220825,
0.21601121127605438,
0.6061285734176636,
0.5759276151657104,
-0.43686622381210327,
-0.7180687189102173,
0.6075034737586975,
-0.3386905789375305,
-0.45824640989303... |
Detailed Instructions: 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 consistency, answers should be in all lower cased letters.
Problem:Category: STATE LICENSE PLATES
Clue: This state first put an o... | florida | 8 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.7055518627166748,
0.7951434850692749,
-0.6058245301246643,
-0.24070876836776733,
-0.33083677291870117,
-0.05967777222394943,
0.7911376357078552,
0.7068455219268799,
0.029236644506454468,
0.2263508141040802,
-0.11080567538738251,
-0.07456089556217194,
0.30977851152420044,
0.5378165245056... |
This task is to translate the Telugu Language Input to English Language Output
Let me give you an example: నేను వీడియో చేస్తున్నాను
The answer to this example can be: I am making a video.
Here is why: Both the sentences says the same meaning in different languages, so it is a correct translation.
OK. solve this:
ఏం మ... | What's wrong with you ? why this username ??? | 8 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.4007556438446045,
0.26925036311149597,
0.04892333596944809,
0.5717611312866211,
0.013523932546377182,
-0.2479340136051178,
-0.29608678817749023,
0.9287896156311035,
-0.44003793597221375,
0.17461709678173065,
0.4491075575351715,
-0.35353797674179077,
-0.3190810978412628,
-1.0333449840545... |
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... | ['CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_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', ... | 4 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.41548216342926025,
-0.30765870213508606,
0.15445174276828766,
-0.11615657806396484,
-0.17050497233867645,
-0.7298542857170105,
0.11921541392803192,
0.8879076242446899,
-0.1721837967634201,
0.1709524393081665,
0.09589946269989014,
0.24674630165100098,
-0.4759017527103424,
-0.3757144510746... |
instruction:
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
question:
¿India? ¿Cómo dividirás tu tiempo de aquí en adelante?
answer:
بازگشت به هند ؟ چگونه وقت خودت را در آینده تقسیم می کنی ؟
question:
Y hoy tenemos algo así como pesimismo evangélico a nuestro alrededo... | ما به ۱۴ نوع اندازه نیاز داریم ، و ما در حال افزایش ظرفیت های خود در شبیه سازی آنها با سرعت یک اندازه اضافه به ازای هر دهه هستیم.
| 9 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.8882706165313721,
0.506415843963623,
0.3773224651813507,
-0.1970365345478058,
-0.697258710861206,
0.008889501914381981,
1.0253525972366333,
0.7511845231056213,
-0.29666924476623535,
-0.33029624819755554,
-1.1946903467178345,
0.5647978186607361,
-0.4370144009590149,
0.4819403290748596,
... |
TASK DEFINITION: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
PROBLEM: Statement: નાંદરખા <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના દક્ષિણ ભાગમાં આવેલા... | ભારત
| 8 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.6283998489379883,
0.6357815265655518,
0.5616618990898132,
-0.26354682445526123,
-0.016882434487342834,
-0.22821980714797974,
1.1606327295303345,
1.4355695247650146,
-0.586994469165802,
0.023705191910266876,
-0.11417043209075928,
0.6648948192596436,
-0.4748000204563141,
-0.038543403148651... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Question: If America has a bigger in... | America | 0 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.4101199507713318,
0.5162655115127563,
-0.047133974730968475,
0.024184036999940872,
-0.4187887907028198,
0.030331958085298538,
-0.09454198181629181,
0.9401320219039917,
-0.2216738760471344,
0.29005974531173706,
-0.7859723567962646,
-0.3321646451950073,
0.48890721797943115,
-0.03380663692... |
In this task, you will be shown a correct English sentence. You need to generate an incorrect form of the input sentence.
Q: The fish industry affects these animals because these companies used the fish to create different foods , like oil .
A: | The industry of the fish affect this animals because , this companies used the fish in the elaboration of diferents foods lke oil . | 4 | NIv2 | task1558_jfleg_incorrect_answer_generation | zs_opt | [
-0.6428753733634949,
0.46851247549057007,
-0.6804315447807312,
-0.1741616129875183,
-0.4632008671760559,
-0.8611354827880859,
0.2410205453634262,
0.6415645480155945,
-0.27169328927993774,
-0.33412933349609375,
0.20734500885009766,
-0.06613250821828842,
-0.34935861825942993,
-0.717211723327... |
TASK DEFINITION: In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
PROBLEM: Are you going out Saturday night?
SOLUTION: X an... | Y has just moved into a neighbourhood and meets his/her new neighbour X.
| 8 | NIv2 | task567_circa_text_generation | fs_opt | [
0.2741257846355438,
0.4826778769493103,
-0.5238116383552551,
0.3442046642303467,
0.12125569581985474,
-0.11611826717853546,
0.22744935750961304,
0.4857719838619232,
0.26441317796707153,
0.20158998668193817,
-0.9294494390487671,
0.00035930779995396733,
-0.45481228828430176,
0.21860714256763... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | green_drawer | 9 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.7901654243469238,
-0.2372952699661255,
-0.3988320827484131,
-0.08342641592025757,
-0.13686871528625488,
-0.3134846091270447,
0.6519876718521118,
0.6241292357444763,
-0.23973238468170166,
0.0062791574746370316,
-0.27698639035224915,
0.753393292427063,
0.24957962334156036,
0.39994439482688... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the in... | Te acordarías de un amigo del teléfono porque quieres llamarlo a menudo. | 0 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.12132172286510468,
0.6330441236495972,
-0.4609158933162689,
-0.3589123487472534,
-0.0937323123216629,
-0.9164965152740479,
0.5188604593276978,
0.8873714804649353,
0.44066956639289856,
-0.741819441318512,
-0.30919283628463745,
0.21359987556934357,
-0.06325478851795197,
-0.040322266519069... |
Given a scientific passage and an answer, generate a question for the given answer.
One example: Passage: A frameshift mutation is a deletion or insertion of one or more nucleotides that changes the reading frame of the base sequence. Deletions remove nucleotides, and insertions add nucleotides. Consider the following ... | Sedimentary rocks form in what kind of layers? | 6 | NIv2 | task594_sciq_question_generation | fs_opt | [
0.5855428576469421,
0.38007688522338867,
-0.5370830297470093,
0.5575848817825317,
0.030010472983121872,
-1.0250964164733887,
0.7330288887023926,
0.8927165269851685,
0.8222866058349609,
-0.4013470411300659,
-0.386074960231781,
0.2285497784614563,
-0.9010143280029297,
0.1479697823524475,
0... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Example Input: Context: Infectious Records is a record label whose bands have included Ash Symposium My Vitriol Sea... | 3
| 3 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.08936095237731934,
-0.017657991498708725,
-0.3296367824077606,
0.967815101146698,
-0.02830071561038494,
-0.17399752140045166,
0.21589112281799316,
0.7326779365539551,
-0.3637580871582031,
0.06818199902772903,
-0.4368631839752197,
0.5056648254394531,
-0.38899698853492737,
-0.3159247040748... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Problem:Przynajmniej coś opatentowali co mogło być wykorzystane do tworzenia przydatnych rzeczy.
Solution: | بلاخره آن ها حق امتیاز چیزی را ثبت کرده بودند که به درد انجام کار مفیدی می خورد. | 8 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.18581366539001465,
1.7541122436523438,
-0.18851247429847717,
-0.11636309325695038,
-0.3920697271823883,
-0.6574753522872925,
1.1211681365966797,
0.6615666151046753,
0.7480716109275818,
0.07246409356594086,
-1.292128562927246,
0.11924087256193161,
-0.513295590877533,
-0.18860387802124023... |
Definition: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer,... | The narrator does not like being accused . | 2 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.3314049243927002,
0.31561124324798584,
0.4719547927379608,
0.07461565732955933,
0.16639983654022217,
-0.5924254655838013,
0.8963675498962402,
-0.19003133475780487,
0.32056111097335815,
-0.27842795848846436,
-1.071774959564209,
-0.09335418045520782,
-0.7117746472358704,
0.210369780659675... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
--------
Question: I myślę, że to szczęście, co jest ważne, to szczęście nie pochodzi tylko z jego własnej historii, albo z jego radości muzyki.
Answer: E penso que a felicidade, o importante desta felicidade non vén só da ... | Agora, parte diso débese á tecnoloxía.
| 7 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.968320906162262,
1.2787532806396484,
-0.4000999331474304,
-0.5064074397087097,
-0.6602322459220886,
-0.5733208656311035,
1.1397078037261963,
0.25566861033439636,
-0.010616647079586983,
-0.5016613006591797,
-0.3033914566040039,
0.6228574514389038,
-0.4959633946418762,
0.31294000148773193... |
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
Example: hNarAik
Example solution: hNrk
Example explanation: The three vowels in the input 'a, 'A', and 'i' are removed.
Problem: GugXOHv... | Solution: GgXHvDpKjG | 5 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.39015963673591614,
0.8454079031944275,
-0.19901789724826813,
-0.905640184879303,
0.4308757781982422,
-0.7996330857276917,
0.6034407615661621,
-0.01159489993005991,
-0.013519865460693836,
-0.4901435375213623,
-0.5919552445411682,
-0.4202941656112671,
0.02311849035322666,
-0.83075833320617... |
Detailed Instructions: A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomia... | 65201 | 9 | NIv2 | task090_equation_learner_algebra | zs_opt | [
0.33791130781173706,
1.0078151226043701,
-0.6913301944732666,
-0.7292757034301758,
-0.5441567897796631,
-0.36657023429870605,
1.2202930450439453,
0.5457907915115356,
-0.08200228214263916,
-0.8653436899185181,
-0.5175719261169434,
0.9620734453201294,
-0.944999098777771,
0.15154513716697693,... |
Detailed Instructions: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the s... | True | 4 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
-0.3682163655757904,
0.2336515486240387,
0.09804824739694595,
0.027032524347305298,
0.22763192653656006,
-0.6114554405212402,
0.6418905258178711,
0.8130345344543457,
-0.16734163463115692,
0.46093907952308655,
-0.4126121997833252,
0.29996347427368164,
-0.4591197371482849,
0.1453603506088256... |
Teacher:This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HO... | ¿Cuál es la participación de Endesa en Aguas de Barcelona? | 6 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.8361417651176453,
0.5771359205245972,
0.23134814202785492,
-0.7562657594680786,
0.3342105448246002,
-0.5772497653961182,
0.8074384331703186,
0.9622526168823242,
0.17788755893707275,
0.23511844873428345,
0.12632426619529724,
0.660945475101471,
-0.17877039313316345,
-0.12183773517608643,
... |
Detailed Instructions: Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and... | You must have gotten on a fast train or something and headed out here to the countryside. | 9 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.5424666404724121,
0.9787818789482117,
0.6313201189041138,
-0.05295826122164726,
0.3834396004676819,
-0.771131694316864,
0.12496430426836014,
0.6455279588699341,
-0.08830193430185318,
-0.4985392093658447,
-0.45597410202026367,
-0.014910980127751827,
-0.8268967866897583,
0.4709625542163849... |
Given the task definition, example input & output, solve the new input case.
This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Example: Fact: deep sea a... | work force | 1 | NIv2 | task1400_obqa_incorrect_answer_generation | fs_opt | [
-0.1853310763835907,
0.25742220878601074,
-0.7036181688308716,
0.21229107677936554,
-0.21292197704315186,
-0.392263799905777,
-0.0881258025765419,
0.45836085081100464,
-0.2730526924133301,
0.09918157756328583,
-0.22480353713035583,
-0.01962829753756523,
-0.6865310072898865,
-0.265133321285... |
Detailed Instructions: In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].
Q: The paper attempts to combine Variational Aut... | en | 9 | NIv2 | task265_paper_reviews_language_identification | zs_opt | [
-0.2298056185245514,
-0.28681811690330505,
-0.06464990973472595,
0.09850452095270157,
0.6688327789306641,
-0.4333387315273285,
0.6606124639511108,
1.3807153701782227,
0.09416977316141129,
0.9234249591827393,
-0.3231929838657379,
0.25203460454940796,
-0.22156143188476562,
0.4486074447631836... |
Detailed Instructions: Two analogies that relate actions to the tools used to perform the action is given in the form "A : B. C : ?". "A : B" relates action A to tool B. Your task is to replace the question mark (?) with the appropriate tool for the given action C, following the "A : B" relation.
Problem:toast : toaste... | key | 8 | NIv2 | task1156_bard_analogical_reasoning_tools | zs_opt | [
0.9400591850280762,
0.9661247134208679,
-0.7420447468757629,
0.6346808075904846,
-0.452148973941803,
0.25774437189102173,
0.8872829675674438,
0.7135745286941528,
0.20851677656173706,
-0.0881047248840332,
0.08691678196191788,
-0.162925124168396,
-0.07624829560518265,
-0.10880184918642044,
... |
Detailed Instructions: In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Problem:claim: Drones Should Be Used to ... | support | 8 | NIv2 | task738_perspectrum_classification | zs_opt | [
-1.4260562658309937,
0.5513803958892822,
0.004639605991542339,
-0.959882378578186,
-0.6215610504150391,
-0.15282273292541504,
1.0128206014633179,
0.4326910376548767,
1.0739811658859253,
0.15371155738830566,
-0.5816977620124817,
0.08556997776031494,
-0.4726632833480835,
0.27927422523498535,... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in German, generate a new German 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 hi... | Sie werden wahrscheinlich einen Bussitz in einer A ablehnen. | 1 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.5621905326843262,
0.2944355010986328,
0.12100909650325775,
-0.1799241602420807,
-0.06902948021888733,
0.09813825786113739,
0.8480678796768188,
0.7532246112823486,
0.5220003724098206,
-0.4201778769493103,
-0.4819801151752472,
-0.08246530592441559,
-0.5102658867835999,
0.02253615483641624... |
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.
Example Input: Is OTHER wrong in the post ? POST : Because of serious family problems, I’m living ... | no
| 3 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.2069476991891861,
0.2304733693599701,
-0.10845163464546204,
0.13891643285751343,
0.6509179472923279,
-0.42551904916763306,
0.9496078491210938,
1.1270520687103271,
-0.19615361094474792,
0.05055516958236694,
0.10665564239025116,
0.46802008152008057,
-0.9155105352401733,
0.11911287903785706... |
Detailed Instructions: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
See one example below:
Problem: Questions are gathered from anonymized, aggregated queri... | What measures are used for evaluation? | 4 | NIv2 | task461_qasper_question_generation | fs_opt | [
-0.5765167474746704,
-0.4569501280784607,
-0.1302957385778427,
0.5740386247634888,
0.25507962703704834,
-0.5241947174072266,
0.47951996326446533,
0.5811198949813843,
-0.22540703415870667,
0.2972220778465271,
-0.2675974369049072,
-0.07877502590417862,
-0.34699422121047974,
0.155726328492164... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Let me give you an example: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't ... | Na verdade, é mais rápido ler do que ver. | 8 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
0.02559622749686241,
0.783349871635437,
0.07409684360027313,
-0.5799463987350464,
-0.1565290242433548,
-0.6972423195838928,
-0.198698490858078,
0.2020183503627777,
0.6709961891174316,
-0.7449896335601807,
-0.29507702589035034,
0.4388637840747833,
-0.5155928730964661,
0.35841989517211914,
... |
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 | 9 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.25831201672554016,
0.18213880062103271,
0.12645882368087769,
-0.33684471249580383,
-0.5917967557907104,
-0.7065088748931885,
0.9224505424499512,
0.4860004782676697,
-0.5182127952575684,
-0.5799409747123718,
-0.537145733833313,
-0.6023930311203003,
-0.7840430736541748,
0.25719988346099854... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
Example: sentence1:region is nat... | yes | 1 | NIv2 | task970_sherliic_causal_relationship | fs_opt | [
-0.20083925127983093,
0.5908225178718567,
0.2500298023223877,
-0.1415417343378067,
0.04279811680316925,
0.010245155543088913,
0.4032624661922455,
0.623252809047699,
0.06181669235229492,
-0.19724732637405396,
-0.5014958381652832,
-0.4444270730018616,
0.07544932514429092,
-0.3167902827262878... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Example: 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がありました父は母に見事な治療を施しました
Example solution: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Example explanation: The Japanese sentence i... | Solution: Questi tipi di stress hanno un particolare effetto sulla fisiologia dello stress. | 5 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
0.03013615868985653,
0.28611665964126587,
-0.583156943321228,
-0.4964011311531067,
-0.20160339772701263,
-1.0558531284332275,
0.7992329001426697,
1.1989326477050781,
0.3807262182235718,
-0.6883218884468079,
-0.677139401435852,
0.6263186931610107,
-0.693321704864502,
0.27377817034721375,
... |
Teacher: In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? If you are still confused, see... | Matos won the gold medal in Sydney in 2000; he finished in 11th place in Athens four years later. | 2 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
0.28892701864242554,
0.8154882192611694,
-0.20066684484481812,
0.2152332365512848,
-0.023416535928845406,
-0.6788397431373596,
-0.6827543377876282,
0.36517658829689026,
0.049914948642253876,
-0.2201973795890808,
-0.6063875555992126,
0.5263832807540894,
0.013281148858368397,
-0.069665148854... |
Instructions: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Input: entity: level
before: unfinished
after: finished
attr: completion
Output: | completion of level was unfinished before and finished afterwards | 3 | NIv2 | task1631_openpi_answer_generation | zs_opt | [
0.21556684374809265,
0.545556366443634,
0.07499873638153076,
-0.25001832842826843,
-0.6094236373901367,
-0.8735730051994324,
0.019548548385500908,
0.5901529788970947,
-0.33760035037994385,
-0.1667555868625641,
0.09644382447004318,
-0.08293793350458145,
-0.8202027082443237,
0.15086691081523... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Example: Agora, está ao lado, ou na miña casa.
Example solution: Now, it's next door, or in my house.
Example explanation: The Galician sentence is correctly translated into English. `casa` is correctly translated as `hou... | Solution: We had a team that worked on a project in Boston last year that took three people about two and a half months. | 5 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
0.009648301638662815,
1.256291151046753,
-0.35337042808532715,
-0.518761157989502,
0.22041377425193787,
-1.67710542678833,
0.4044366776943207,
0.4634281396865845,
-0.2759653925895691,
-0.004816384986042976,
-0.38392889499664307,
0.6964377164840698,
-0.8206219673156738,
-0.06009308993816376... |
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