inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Definition: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: English: Officials said that it was unlikely that the missing miners we... | Yes | 2 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.4507846236228943,
0.06639117002487183,
0.6403181552886963,
0.23464015126228333,
-0.06458570063114166,
-0.9196650385856628,
0.3176841735839844,
0.23141244053840637,
-0.5073158740997314,
-0.44661596417427063,
-0.273032546043396,
0.19517093896865845,
-0.5338185429573059,
0.6583284139633179... |
Given the task definition and input, reply with output. In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy... | Sentence 1: The garbage can created an obstruction, but the recycle bin was not a problem, because the _ was in the way of the bicycle.
Answer1: garbage can.
Sentence 2: The garbage can created an obstruction, but the recycle bin was not a problem, because the _ was out of the way of the bicycle.
Answer2: recycle bi... | 5 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.4223173260688782,
0.3177422285079956,
0.12563809752464294,
-0.0487922839820385,
0.7718881964683533,
-0.7001034021377563,
0.4220476746559143,
1.1297721862792969,
-0.603532075881958,
-0.30608195066452026,
-0.6692166328430176,
0.03231685608625412,
-0.4712749719619751,
-0.15151916444301605,
... |
instruction:
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You h... | No
| 9 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
0.46507734060287476,
0.2050890028476715,
-0.07951603084802628,
0.46252015233039856,
-0.509796142578125,
-1.0818407535552979,
1.1250624656677246,
0.6937516927719116,
-0.8499957323074341,
-0.24343465268611908,
-0.8670477867126465,
-0.26433420181274414,
-0.4105198085308075,
0.2716107368469238... |
In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise. Please answer with "Contradiction", "Neutral", or "Entailment".
Ex Input:
Premise: She hated to think of his... | Contradiction
| 1 | NIv2 | task1388_cb_entailment | fs_opt | [
-0.19170993566513062,
0.6227540373802185,
-0.20502623915672302,
0.36421364545822144,
-0.034201089292764664,
-0.585863471031189,
0.6154713034629822,
0.945154070854187,
0.8070955276489258,
-0.16683737933635712,
-1.005685567855835,
0.3503545820713043,
-0.20030197501182556,
-0.4947468638420105... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based ... | Sad | 1 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
-1.535691499710083,
-0.0643736869096756,
0.886791467666626,
0.38484466075897217,
0.30385833978652954,
-0.6305989027023315,
0.27404284477233887,
0.6975094079971313,
0.23948046565055847,
0.2803250551223755,
-0.3130437135696411,
-0.7565125823020935,
-0.1176479309797287,
0.006372353993356228,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | No emotion,No emotion,No emotion,No emotion,No emotion
| 0 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
-0.12883323431015015,
0.05171499401330948,
-0.04898800700902939,
-0.2733415961265564,
0.09958752244710922,
0.42776307463645935,
0.6601649522781372,
0.4674055576324463,
-0.03929721564054489,
-0.2377387136220932,
-0.13631203770637512,
0.21770982444286346,
-0.8215159177780151,
0.6598882079124... |
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.
[EX Q]: In the Spanish countryside, a middle-aged man named Héctor (Karra Elejalde) and his wife (Candela Fernández... | Answer: Mrs. Lovett.
| 6 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.3983255922794342,
0.45789170265197754,
-0.44479596614837646,
0.006059615407139063,
0.40917250514030457,
0.4318811595439911,
0.6956914663314819,
0.9850388765335083,
-0.5525280237197876,
0.29529479146003723,
-0.9661563038825989,
0.6496767997741699,
-0.7953463792800903,
0.1506577879190445,
... |
Detailed Instructions: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Q: Context: Alex invited their friend Cameron to the party even though nobody likes Cameron.
Answer: be nice
A: | Why did Alex do this? | 9 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
0.23674839735031128,
1.0781264305114746,
0.3346518278121948,
-0.7924820184707642,
-0.453671395778656,
-0.7052251100540161,
0.13331148028373718,
-0.46173810958862305,
0.9521751403808594,
0.7213419079780579,
0.18283884227275848,
0.31659334897994995,
-0.9696444869041443,
-0.010024625808000565... |
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The ... | Wrong
| 3 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
-0.10114029049873352,
0.49826979637145996,
-0.33873599767684937,
-0.032890886068344116,
0.14394070208072662,
-1.0022087097167969,
0.2362755388021469,
0.5167827606201172,
-0.03594673052430153,
-0.1613101065158844,
-0.16213029623031616,
0.4189186096191406,
-0.7183874249458313,
-0.30226197838... |
Instructions: You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Input: What is fluency of voice ?
How many square feet does it take to make one yard ?
Do islams eat honey ?
Wha... | What does the scarab b ? | 3 | NIv2 | task674_google_wellformed_query_sentence_generation | zs_opt | [
-0.3710891008377075,
0.8756061792373657,
-0.2548910081386566,
-0.5057291984558105,
-0.3314977288246155,
0.5673465728759766,
0.6392521858215332,
-0.15715596079826355,
-0.26204824447631836,
-0.5102789402008057,
-0.8437142372131348,
-0.5365328788757324,
-0.5504626035690308,
-0.040071558207273... |
Detailed Instructions: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Problem:It comes a week after the search giant announced that AlphaGo had beaten French Go champion Fan Hui. That was seen as a pivotal moment for AI, similar to IBM's Deep Blue be... | Google's artificial intelligence (AI) software will go head-to-head with the world's highest ranked Go player Lee Sedol, the firm has said. | 8 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.12392428517341614,
-0.27469751238822937,
-0.1260831356048584,
-0.2540391683578491,
0.23038893938064575,
-0.5054860711097717,
0.013801351189613342,
0.3627428114414215,
-0.3685530722141266,
0.21332581341266632,
-0.2259151041507721,
0.4793304204940796,
-0.15153434872627258,
0.13261514902114... |
Detailed Instructions: 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 high commonsense plausibility, that is to have reasonabl... | Daten auf der Speicherkarte können hinzugefügt oder gelöscht werden. | 9 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.1827559918165207,
0.04239511489868164,
0.03986334428191185,
-0.7782484292984009,
-0.552885890007019,
-0.4134347140789032,
1.0218100547790527,
1.1989006996154785,
0.4706990718841553,
-0.41733407974243164,
-0.12218225747346878,
0.0920102596282959,
-0.594059944152832,
0.4432709217071533,
... |
Part 1. Definition
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 ser... | jump left thrice after turn opposite left thrice | 7 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.4399643540382385,
0.4937581717967987,
-0.47075173258781433,
0.04033716022968292,
0.1756521761417389,
0.3027592599391937,
0.4162435531616211,
0.772018551826477,
-0.10683254897594452,
-0.2670189440250397,
-0.9889563322067261,
-0.3785852789878845,
-0.8091573715209961,
-0.09471336007118225,
... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | Because they really wanted to go to Costa Mesa . | 6 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
-0.19644887745380402,
0.8231654763221741,
0.051926422864198685,
0.5058310627937317,
0.1258593201637268,
-0.9061384201049805,
0.026951538398861885,
0.7386087775230408,
-0.4232521057128906,
-0.14124777913093567,
-0.2323867678642273,
-0.12471485137939453,
-0.1951102614402771,
-0.2812715768814... |
Teacher: In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Teacher: Now, understand the problem? If you are still confused, see the following example:
Review: These are junk! Bot... | True | 2 | NIv2 | task1313_amazonreview_polarity_classification | fs_opt | [
-0.006754584610462189,
0.16656115651130676,
-0.14775657653808594,
0.11268365383148193,
0.14486415684223175,
-1.2082027196884155,
0.9309009313583374,
0.5575703978538513,
0.285713791847229,
0.12861396372318268,
-0.24245625734329224,
0.08782187104225159,
0.011286534368991852,
-0.6055090427398... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Nie można się jej pozbyć.
Output: | نمى توانيد از شر آن خلاص شويد. | 1 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
0.00017798953922465444,
1.3925460577011108,
0.25522783398628235,
-0.3011752665042877,
-0.4503042697906494,
-0.05770343169569969,
0.9799202680587769,
0.20821404457092285,
0.6870108842849731,
0.6207629442214966,
-0.4299280047416687,
-0.2467142939567566,
-0.4516197741031647,
0.512665510177612... |
Teacher:In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
T... | Apply cupcake liners to the pan | 6 | NIv2 | task080_piqa_answer_generation | zs_opt | [
0.3940218985080719,
0.4371148347854614,
-0.14779433608055115,
0.2975156903266907,
-0.22262516617774963,
-0.2713838219642639,
-1.0766496658325195,
0.5622305870056152,
-0.29490381479263306,
0.17657272517681122,
0.17115658521652222,
0.507758378982544,
0.05950867012143135,
-0.12362547218799591... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
Problem:ഈ സങ്കല്പങ്ങള് സാധാരണക്കാരുടെ ജീവിതങ്ങള് മാറ്റിക്കൊണ്ടിരിക്കുകയാണെന്ന് അദ്ദേഹം പറഞ്ഞു.
Solution: | તેમણે એવો પણ ઉલ્લેખ કર્યો હતો કે આ પ્રકારની વિવિધ પહેલોને કારણે સામાન્ય માનવીનુ જીવન ધોરણ સુધરી રહ્યું છે. | 8 | NIv2 | task1042_pib_translation_malayalam_gujarati | zs_opt | [
0.2775329351425171,
0.4957900047302246,
0.1298477053642273,
-0.7237856388092041,
-0.01321505568921566,
-1.364284634590149,
0.8303486704826355,
0.006299648433923721,
-0.10977597534656525,
-0.45585304498672485,
-1.0024210214614868,
-0.13334156572818756,
-1.269916296005249,
0.1560760289430618... |
In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
One example is below.
Q: Question: The government of Canada is considerin... | The more dense the medium, the slower the light moves. | 9 | NIv2 | task223_quartz_explanation_generation | fs_opt | [
-0.30783140659332275,
0.536698579788208,
-0.14877110719680786,
-0.9351118803024292,
-0.3071645498275757,
-0.7612392902374268,
0.5642558336257935,
1.0628186464309692,
-0.5491617918014526,
0.13302519917488098,
-0.23605333268642426,
-0.4681304693222046,
-0.14436808228492737,
0.405128717422485... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Se... | Identifiable | 0 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-1.4825563430786133,
0.47974392771720886,
-0.3187231421470642,
-0.17969420552253723,
0.41912540793418884,
0.31113138794898987,
-0.2844997048377991,
0.9421937465667725,
0.4275854229927063,
0.39538678526878357,
-1.0994793176651,
-0.07173524796962738,
-0.014420781284570694,
-0.265674114227294... |
Definition: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (... | Do vitamin D and glucocorticoids differentially modulate chemokine expression in human airway smooth muscle cells? | 2 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
1.849292278289795,
0.05466672033071518,
-0.43500685691833496,
-0.2575020492076874,
0.19079507887363434,
-0.7644474506378174,
1.3868167400360107,
0.514519453048706,
-0.07469287514686584,
0.4998350739479065,
-0.8968625068664551,
0.31682705879211426,
-1.116836428642273,
0.2551027834415436,
... |
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... | Jed and Jake entered into a pet store.
| 6 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.4498034715652466,
0.1468270868062973,
-0.040093131363391876,
-0.2373236119747162,
0.2864273190498352,
-0.38764452934265137,
0.5448761582374573,
0.9142190217971802,
-0.5154201984405518,
-0.42823150753974915,
-0.670572817325592,
0.17354944348335266,
-0.34964579343795776,
-0.071674801409244... |
Definition: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for t... | #1 return person
#2 return a syringe
#3 return if #1 is holding #2 | 2 | NIv2 | task176_break_decompose_questions | zs_opt | [
1.0472135543823242,
-0.14956621825695038,
-0.7789425849914551,
0.6582765579223633,
0.3218752145767212,
-0.5504360198974609,
1.1954596042633057,
0.12442749738693237,
-0.2747006416320801,
0.7446946501731873,
-0.43523621559143066,
0.06041676551103592,
0.010027614422142506,
0.4442102015018463,... |
In this task, given a sentence in the Vietnamese language, your task is to convert it into the English language.
Kinh phí cho các xe điện mới dự kiến chủ yếu đến từ TfL, tuy nhiên Khu Croydon của London cũng đã xác nhận họ sẽ đóng góp 3 triệu bảng cho dự án. | Funding for the new trams is expected to largely come from TfL, however the London Borough of Croydon has also confirmed a £3m contribution to the project. | 0 | NIv2 | task536_alt_translation_vi_en | zs_opt | [
-0.44390448927879333,
0.030467532575130463,
0.25731581449508667,
-0.593212902545929,
0.16621209681034088,
-0.037630848586559296,
0.28604739904403687,
0.4441903233528137,
0.5080411434173584,
-0.6536020040512085,
-0.015891939401626587,
0.5277848243713379,
0.23025931417942047,
-0.046170320361... |
A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Example Input: पंतप्रधान नरेंद्र मोदी यांनी जनतेला गुजराती नववर्षाच्या शुभेच्छा दिल्या आहेत.
Example Output: এক শুভেচ্ছা বার্তায় প্রধানমন্ত্রী বলেছেন, ... | খেলা সমাজকে একজোট করার জন্য এবং আমাদের যুবদের যে কৃতিত্ব রয়েছে, তাদের মধ্যে যে প্রতিভা আছে সেটা খুঁজে বের করার উত্তম পদ্ধতি।
| 3 | NIv2 | task1062_pib_translation_marathi_bengali | fs_opt | [
-0.5907337665557861,
0.32311803102493286,
-0.19323185086250305,
-0.2806219160556793,
0.2263382375240326,
-0.8429960012435913,
0.8563826084136963,
0.45026999711990356,
-0.2840075194835663,
-0.45612725615501404,
-1.0283294916152954,
0.2314058542251587,
-0.2532915472984314,
-0.026669610291719... |
Q: Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
house... | house Synonym cover | 7 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.12089569866657257,
1.54256010055542,
0.3230782747268677,
-0.2756134867668152,
-0.2418527454137802,
-1.0075886249542236,
0.8249223232269287,
0.08463513851165771,
-0.06491114944219589,
-0.615088701248169,
-0.6735568046569824,
0.9168033599853516,
-1.0531730651855469,
0.14555656909942627,
... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Input: And instead of getting normal perception, you're getting an anarchic, convulsive stimulation, or release, of all of these visual cells in the inferotemporal cortex.
Output: | Y en vez de la percepción normal, se obtiene una anárquica y convulsiva estimulación o liberación de todas estas células visuales, en el cortex inferotemporal. | 2 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.3626747131347656,
0.0798322930932045,
0.16232487559318542,
-0.1685970425605774,
-0.014080222696065903,
-0.3937901258468628,
-0.46322745084762573,
1.2848483324050903,
0.8809595704078674,
-0.26158255338668823,
-0.40198540687561035,
-0.3641965985298157,
-0.7080483436584473,
0.1050608828663... |
Instructions: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an in... | True | 3 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.8789346814155579,
0.171930193901062,
-0.5325757265090942,
-0.28735819458961487,
-0.37412145733833313,
-1.1498284339904785,
0.45202934741973877,
0.2995462715625763,
0.40942323207855225,
-0.26131296157836914,
-0.882856547832489,
-0.004828325472772121,
-0.07112365961074829,
0.0618599392473... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: Union Minister of Agriculture and Farmers Welfare Shri Radha Mohan Singh today met Ms
Solution: தொழி... | தொழில்நுட்பம் காரணமாக இவர்களது பாடல்களை எங்கு வேண்டுமானாலும், எந்த நேரத்தில் வேண்டுமானாலும் எத்தனை முறை வேண்டுமானாலும் நம்மால் கேட்க முடியும். | 4 | NIv2 | task991_pib_translation_english_tamil | fs_opt | [
-0.11054033041000366,
0.17365296185016632,
-0.03262576088309288,
0.44740381836891174,
0.22580604255199432,
-0.7455163598060608,
-0.137629896402359,
0.0029523391276597977,
-0.6130079030990601,
0.6862393617630005,
-0.026476318016648293,
0.06426438689231873,
0.13420939445495605,
0.33870238065... |
Teacher:In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Teacher: Now, understand the problem? Solve this instance: El grupo de los representantes está reunido ... | The group of representatives is currently meeting in Brussels and I will try to join them as soon as possible. | 6 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.1360531449317932,
0.6755291223526001,
0.2707256078720093,
-0.5736483931541443,
0.04889274761080742,
-0.653852641582489,
0.8942723870277405,
0.05899157375097275,
-0.05401619151234627,
-0.05677391588687897,
0.26109468936920166,
0.6615312099456787,
-0.35819193720817566,
-0.3187752068042755... |
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.
One example is below.
Q: Category: EVERYBODY TALKS ABOUT IT...
Clue: In the winter of 1971-72... | henry stanley | 9 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
0.019222605973482132,
0.2912437915802002,
-0.3050706386566162,
-0.18645299971103668,
-0.02414604276418686,
-0.5840734839439392,
0.3882485330104828,
0.4046931862831116,
0.6441793441772461,
-0.14354586601257324,
-0.19969233870506287,
-0.2056763619184494,
-0.7448844909667969,
0.40535414218902... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | strengthener | 0 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
0.6795169711112976,
0.4517756700515747,
-0.6465016007423401,
0.29490014910697937,
-0.01607227884232998,
-0.5684903264045715,
1.1319940090179443,
1.3635051250457764,
0.8640091419219971,
-0.3767920136451721,
-1.4821441173553467,
0.3711652159690857,
-0.44517332315444946,
-0.1533810794353485,
... |
Detailed Instructions: In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Q: Enough is Allah for a witness between us and you: we certainly knew nothing of your worship of us!
A: | پس خدا میان ما و شما از جهت شهادت کافی است که ما یقینا از پرستش شما نسبت به خود بی خبر بودیم. | 9 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.02944371849298477,
1.1984069347381592,
0.4268414080142975,
-0.8492516279220581,
-0.5438308119773865,
-1.652209997177124,
0.37477925419807434,
0.35638725757598877,
-0.017549000680446625,
0.07748931646347046,
-0.140032559633255,
-0.02548113837838173,
-0.8319371938705444,
0.691405534744262... |
TASK DEFINITION: You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and comple... | C, F, G.
| 8 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.44725942611694336,
0.779248833656311,
-0.8343529105186462,
-0.6301394701004028,
0.8876280784606934,
0.11697963625192642,
1.054472804069519,
0.985100507736206,
-0.27019333839416504,
0.48204511404037476,
-0.02803979441523552,
0.813892662525177,
-0.27899086475372314,
0.040357694029808044,
... |
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 agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Women are walking | 9 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.4996093511581421,
0.9093621969223022,
0.527472734451294,
-0.6598048806190491,
0.33059975504875183,
-0.3463890850543976,
-0.2187192738056183,
0.59549880027771,
0.36332252621650696,
-0.33594420552253723,
-0.8230332136154175,
-0.17087700963020325,
-0.7339962720870972,
-0.0968368649482727,
... |
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'.
Example Input: (A) ghosting a friend
(B) telling SO's mom and the girl he cheated on me with that he ... | A
| 3 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
0.2019161581993103,
0.8253567218780518,
0.24881337583065033,
-0.41713058948516846,
-0.48792707920074463,
-0.0664842277765274,
-0.10856068134307861,
0.555801510810852,
0.036866236478090286,
0.3104088306427002,
-0.3151278495788574,
-0.014571936801075935,
0.16582246124744415,
-1.0991892814636... |
instruction:
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
question:
['1305', 'e', 'K', '1709', 'u', '5425', 'n', '6857', '... | 16
| 9 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
0.1508179008960724,
0.30364274978637695,
-0.4113539457321167,
-0.43822434544563293,
0.04890984669327736,
-0.47975313663482666,
0.8344280123710632,
0.39742130041122437,
-0.7009015083312988,
0.6569347381591797,
-0.5784382820129395,
0.3292016088962555,
-0.08077257871627808,
-0.037530049681663... |
Given the task definition and input, reply with output. In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Tweet: I hat... | no | 5 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-1.3089464902877808,
0.36346936225891113,
0.8055405020713806,
0.10141359269618988,
0.07866623997688293,
-0.8846656680107117,
-0.3945210576057434,
0.8172256946563721,
-0.013773487880825996,
0.017627719789743423,
-0.27134329080581665,
0.023425843566656113,
-0.08619340509176254,
-0.9704979062... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | Vinceni | 6 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.07149280607700348,
0.6628142595291138,
-0.1634662002325058,
0.1089782565832138,
0.0384080745279789,
0.17522281408309937,
0.5387259721755981,
1.0550702810287476,
-0.2112315595149994,
0.5386042594909668,
0.016731666401028633,
0.7109343409538269,
-0.7774025797843933,
0.19686400890350342,
... |
Detailed Instructions: Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Problem:Verify if the sentiment of the following document towards the entity Daniel Ki... | no | 8 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-1.7085180282592773,
0.06777406483888626,
0.48512306809425354,
-0.1613403856754303,
-0.9356918334960938,
-1.02827787399292,
1.0180250406265259,
0.21636441349983215,
-0.02140539139509201,
0.39250054955482483,
0.022806573659181595,
-0.07774599641561508,
-0.3379885256290436,
0.034052859991788... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
--------
Question: Beginnin... | 1
| 7 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.4671039581298828,
0.023718688637018204,
0.003748111193999648,
-0.021128017455339432,
-0.5453987717628479,
-0.268657922744751,
-0.07756680250167847,
0.6915503740310669,
-0.18015915155410767,
-0.2937214970588684,
-0.2998430132865906,
-0.2187548726797104,
-0.4956269860267639,
-0.3172244131... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
5... | -25482 | 1 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.3899899423122406,
0.15797895193099976,
-0.8702085614204407,
0.04530786722898483,
-0.183100163936615,
0.5518262982368469,
0.8604699373245239,
1.0060893297195435,
0.47087058424949646,
-0.25834405422210693,
-0.8289558291435242,
-0.24729296565055847,
-0.6827117204666138,
0.28738152980804443... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Exa... | Solution: Unidentifiable | 5 | NIv2 | task350_winomt_classification_gender_identifiability_pro | fs_opt | [
-1.04380202293396,
0.8585776090621948,
-0.029038354754447937,
-0.7544921636581421,
0.04606596753001213,
-0.015404255129396915,
-0.0633736252784729,
0.9451746344566345,
0.7439497709274292,
0.010408423840999603,
-0.8685652017593384,
0.20292502641677856,
-0.2555246353149414,
-0.48633870482444... |
Given the task definition and input, reply with output. 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 input. And the generated sentence should have high commonsense plau... | Usted puede unirse al esfuerzo desde la parte superior de un edificio. | 5 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.7538812160491943,
1.1687729358673096,
0.677138090133667,
-0.2653823494911194,
0.35729479789733887,
0.011223319917917252,
0.23581941425800323,
1.7327234745025635,
0.04547230899333954,
-0.40311771631240845,
-0.9193800687789917,
0.12289279699325562,
-0.8278059959411621,
0.1928146928548813,... |
Part 1. Definition
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Part 2. Example
We notice a man in a kayak and a yellow helmet coming in from the left. As he approaches, his kayak
Answer: flips upside - down
Explanation: Flippi... | runs down someone's cheek as he watches. | 7 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.036192089319229126,
0.40157628059387207,
0.23466789722442627,
-0.7232604026794434,
0.11016331613063812,
-0.6116182804107666,
0.1109595000743866,
1.0595040321350098,
0.42607706785202026,
0.2455005943775177,
-0.5297901630401611,
-0.09049257636070251,
-1.016330361366272,
-0.0228150561451911... |
Detailed Instructions: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lis... | [24, 70, 70, 60, 61, -91] | 4 | NIv2 | task207_max_element_lists | fs_opt | [
0.5339637994766235,
0.04582242667675018,
-0.9542058110237122,
0.1785469949245453,
0.2756715416908264,
-0.08046980947256088,
0.8162263631820679,
1.124789834022522,
-0.14367762207984924,
-0.012333334423601627,
-0.26009562611579895,
0.1978447139263153,
-0.07104045152664185,
-0.029153846204280... |
In this task your given two statements in Swahili. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: Wazazi walikimbilia chumbani kwa mtoto wao.
Mtoto aliamka na k... | effect
****
| 4 | NIv2 | task1175_xcopa_commonsense_cause_effect_sw | fs_opt | [
-0.5597481727600098,
0.7436683177947998,
-0.25447648763656616,
-0.28097155690193176,
-0.7286152839660645,
-0.11501394957304001,
0.6574732661247253,
0.8667289018630981,
0.42732319235801697,
-0.7477335929870605,
-0.2774333953857422,
0.5885841846466064,
-0.6442880034446716,
-0.032214596867561... |
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
このアイデアはとてもシンプルで
Solution: A ideia é muito, muito simples.
Reason: The Japanese sentence is correctly translated into P... | Novamente, vou defender que a principal razão para isto, de não nos termos saído muito bem, é que estamos a lutar vendados. | 2 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
0.4585653245449066,
0.40120506286621094,
0.3213636875152588,
-1.379901647567749,
-0.1345827728509903,
-1.218751072883606,
-0.14271414279937744,
0.9154258966445923,
0.5166059732437134,
-0.2778281569480896,
-0.26253625750541687,
0.24599769711494446,
-1.1334553956985474,
-0.08209965378046036,... |
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.
[EX Q]: Infectious bronchitis (IB) and Newcastle disease (ND) are common viral diseases of chickens, which are caused by ... | Galactose-1-phosphate uridyltransferase (GalT), an in vivo-induced antigen of Actinobacillus pleuropneumoniae serovar 5b strain L20, provided immunoprotection against serovar 1 strain MS71 a1111111111 a1111111111 a1111111111 a1111111111 a1111111111 OPEN ACCESS
| 6 | NIv2 | task1161_coda19_title_generation | fs_opt | [
-0.22770622372627258,
0.3101685643196106,
-0.044987913221120834,
-0.12655340135097504,
0.2549317479133606,
-0.35986173152923584,
1.1453263759613037,
0.704906702041626,
0.13910597562789917,
0.4733485281467438,
-0.5357412695884705,
0.5213223099708557,
-0.7953037023544312,
0.8255742788314819,... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
And if ye shall say, What shall we eat the seventh year? behold, we shall not sow, nor gather in our increase:
و در تمامی زمین ملک خود برای زمین فکاک بدهید.
And Jacob rent his clothes, and put sackcloth up... | و کاهن برای وی به قوچ قربانی جرم رانزد خداوند گناهش را که کرده است کفاره خواهدکرد، و او از گناهی که کرده است آمرزیده خواهدشد.
| 0 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
-0.44646355509757996,
0.9993643760681152,
-0.7573800683021545,
-0.09091745316982269,
-0.8339893817901611,
0.4888876676559448,
0.4780477285385132,
0.3187379539012909,
0.5933710932731628,
0.044411711394786835,
-0.5009169578552246,
0.6893109083175659,
-1.3705081939697266,
0.39535999298095703,... |
Definition: A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: ଇନ୍ଧନ ବ୍ୟୟ ହ୍ରାସ ଲାଗି ତୈଳ ବଜାରର ଉତ୍ପାଦକ ଓ ଉପଭୋକ୍ତାଙ୍କ ମଧ୍ୟରେ ଭାଗୀଦାରୀ ଉପରେ ଗୁରୁତ୍ୱାରୋପ
Output: | இறுதியாக முக்கியமாக, சம்பந்தப்பட்ட நாட்டின் நாணயத்திற்கு தற்காலிக நிவாரணம் வழங்க, கட்டண நிபந்தனைகள் மறு பரிசீலனை செய்யப்பட வேண்டும் என்று அவர் கேட்டுக்கொண்டார். | 2 | NIv2 | task1073_pib_translation_oriya_tamil | zs_opt | [
-0.18596506118774414,
0.6140182614326477,
0.019481930881738663,
0.5562235713005066,
-0.29822975397109985,
-0.4283866286277771,
0.6174831986427307,
0.6706658601760864,
0.005670906975865364,
0.1790705919265747,
-0.7672820687294006,
-0.9910857677459717,
-0.12348917126655579,
0.202961072325706... |
Teacher: In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Tracy slept awkwardly on their new bed and was having some pain, so Tra... | Who is Erich and Otto's stepfather? | 2 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.47651612758636475,
-0.22241395711898804,
-0.7442591786384583,
0.6665045022964478,
0.10081474483013153,
-0.15369978547096252,
0.9176340699195862,
0.45367375016212463,
0.2529814839363098,
0.7932018041610718,
-0.6645005941390991,
0.3257240653038025,
-0.7668004035949707,
0.32043564319610596,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
The task is to generate the correct answer for a given math problem.
a multiple choice test consists of 4 questions, and each question has 5 answer choices. in how many r ways can the test be comple... | 11 | 0 | NIv2 | task1726_mathqa_correct_answer_generation | fs_opt | [
0.3201795816421509,
0.675233006477356,
0.426578164100647,
0.402814656496048,
-0.11128756403923035,
1.2868797779083252,
1.0288335084915161,
0.08049247413873672,
-0.24212095141410828,
-0.3847998380661011,
-0.4248315095901489,
-0.24998971819877625,
-0.5807060599327087,
0.3559824228286743,
0... |
Definition: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Input: Beginnin... | 1 | 2 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.6842141151428223,
0.4968636929988861,
-0.15027841925621033,
-0.2591850161552429,
-0.39931178092956543,
0.2413846254348755,
-0.12516096234321594,
0.2954150140285492,
0.35766953229904175,
-0.3574368953704834,
-0.6297926306724548,
0.020083962008357048,
-0.05764831602573395,
-0.125445932149... |
Instructions: In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Input: રેલવે સ્ટેશન બરફ સાથે આવરી લે છે. ... | Gujarati | 3 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.06142546236515045,
0.35392165184020996,
0.45125219225883484,
-0.30687955021858215,
0.236234650015831,
-0.6538265943527222,
0.23798759281635284,
-0.3498856723308563,
0.16279694437980652,
-0.7476520538330078,
-0.10423975437879562,
-0.1491314172744751,
0.24081137776374817,
0.01738649792969... |
Detailed Instructions: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Problem:Reviews: Bands are good quali... | False | 8 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.3433104157447815,
0.1616511344909668,
-0.3714674711227417,
-0.003183536697179079,
-0.22030583024024963,
0.034396350383758545,
0.9115697145462036,
0.5335558652877808,
-0.3939493000507355,
0.2768293023109436,
-0.8195356726646423,
0.21023809909820557,
-0.4435342848300934,
0.154954686760902... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Example input: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Example output: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Example explanation: The English sentence is correctly tran... | 第二の問題アプリのダウンロードの順番は重要でしょうか ？ | 3 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.45430874824523926,
0.1763693243265152,
-0.5680339336395264,
-0.03320278599858284,
-0.3808648884296417,
-0.771952211856842,
1.3193421363830566,
-0.7145307064056396,
-0.008575210347771645,
-0.3502448797225952,
-0.6936987042427063,
-0.3092554211616516,
-0.7815862894058228,
0.319842845201492... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all... | [['4', 'd', '7', '4'], ['4', 'd', '7', '7'], ['4', 'd', '4', '7'], ['4', '7', '4', '7'], ['d', '7', '4', '7']] | 1 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.13785988092422485,
0.7913050055503845,
-0.7939302921295166,
0.38307732343673706,
0.5348833203315735,
0.06937319040298462,
0.5237610936164856,
0.37026447057724,
0.4208306670188904,
-0.10505594313144684,
-0.402957558631897,
-0.3420705199241638,
0.1554785668849945,
0.06326490640640259,
0... |
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 | [
0.9563976526260376,
0.04323442280292511,
-0.35037362575531006,
0.31603845953941345,
-0.16401267051696777,
-1.157699704170227,
0.9338107109069824,
0.890711784362793,
-0.40306010842323303,
-0.3581886291503906,
-0.34671732783317566,
0.46127671003341675,
-0.1214054524898529,
-0.086223304271698... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Input: خب جهانی که ما در آن زندگی می کنیم جهانی که هرگفت و شنودی توانایی بالقوه آن را دارد که محور بحث و جدل شود ، جایی که سیاستمداران ما نمی توانند با یکدیگر صحبت کنند و جایی که حتا برای بی اهمیت ترین مس... | Así que este mundo no que vivimos, este mundo no que cada conversación ten o potencial de converterse nunha rifa, onde os políticos non poden falar uns cos outros e onde mesmo o máis trivial dos asuntos ten alguén que pelexa apaixonadamente a favor e en contra, non é normal. | 2 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.2334825098514557,
0.9206938743591309,
-0.018444346264004707,
-0.17177662253379822,
-0.4299757480621338,
-1.3781344890594482,
-0.22958199679851532,
0.11493686586618423,
0.463801771402359,
-0.02904396504163742,
-0.9929982423782349,
0.2852715849876404,
-0.17411379516124725,
0.3567133545875... |
Definition: In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2... | 3 | 2 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
0.013529667630791664,
-0.038427405059337616,
-0.3076276183128357,
0.12455624341964722,
0.057444341480731964,
0.14502406120300293,
0.6056499481201172,
0.7717227935791016,
0.21113130450248718,
0.31896182894706726,
-0.5672532320022583,
-0.14578336477279663,
0.23137696087360382,
-0.05758869275... |
Teacher: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Teacher: Now, understand the problem? If you are still confused, see the following example:
रोजगार कार्यालय जाओ.
Solution: Go to the employment of... | Risuke no longer working, Since you've ruled out of the tour. | 2 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.49081742763519287,
0.27504676580429077,
0.7587858438491821,
-0.06257067620754242,
0.14594987034797668,
-0.7231111526489258,
-0.1603778600692749,
0.026147041469812393,
0.0807218998670578,
-0.31295305490493774,
0.007709784898906946,
-0.47842222452163696,
0.3315466642379761,
0.138578504323... |
Definition: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity... | None | 2 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
0.12266302108764648,
0.20381519198417664,
-0.058813393115997314,
-0.03573397919535637,
-0.2372281849384308,
0.26405975222587585,
0.8870465755462646,
0.01579469069838524,
0.5633636713027954,
-0.5282676219940186,
-0.7078901529312134,
0.7689259648323059,
0.04385749250650406,
0.219523608684539... |
Definition: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: 男子と女子のナショナルチームの間のプレースタイルの違いは何でしょうか？
Output: | :Ano ang kaibahan ng istilo ng paglalaro sa pagitan ng mga koponan ng mga lalaki at ng mga babae? | 2 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.46519026160240173,
-0.2913098633289337,
-0.680266797542572,
-0.3538055419921875,
0.05160380154848099,
-0.19624699652194977,
0.9307706356048584,
0.38698551058769226,
0.21223625540733337,
-0.4524238705635071,
-1.4382492303848267,
0.5519798398017883,
-1.0501127243041992,
0.6202534437179565... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Input: En cada lugar, construímos exposicións cunha historia, e a historia viaxou.
Output: | هر مکان ، ما نمایشگاهی با ماجراهای اونها برپا می کردیم ، و این طوری ماجرای اونها به همه جا می رفت. | 2 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.44253042340278625,
0.27890366315841675,
0.11975239217281342,
-0.05955304205417633,
-0.19515502452850342,
-0.6709357500076294,
-0.2931445240974426,
0.7957772016525269,
-0.04709010198712349,
0.3830384314060211,
-0.24943584203720093,
-0.10637365281581879,
-0.27922317385673523,
0.7492813467... |
In this task, you are to Translate German text to English
One example: Das Textilband (1) ist insbesondere als (Kreuz-) Band-, Ligament- oder Sehnenersatz einzusetzen.
Solution is here: The textile band (1) is used particularly as (cross) ligament or tendon replacement.
Explanation: The translation is fluent, formal, a... | The invention relates to a profiled rail for supporting plate-shaped elements, particularly for inlay mounting of ceiling plates for louvered ceilings. | 6 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
0.04142084717750549,
0.5976273417472839,
-0.8302407264709473,
0.6349709033966064,
-0.012439277023077011,
-0.49225980043411255,
0.8554096221923828,
-0.16904285550117493,
-0.1119624599814415,
0.6604479551315308,
-0.3380511999130249,
0.43759679794311523,
-0.5632565021514893,
0.475138425827026... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ'... | NOUN | 9 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.7069365978240967,
0.37131017446517944,
0.15357032418251038,
-0.058403488248586655,
0.13306930661201477,
-0.7407337427139282,
0.7287977337837219,
0.9247351884841919,
-0.7014293670654297,
-0.32441937923431396,
-0.3536927103996277,
0.08722785860300064,
-0.5033529996871948,
0.397107928991317... |
Instructions: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Input: Sentence: xname is a coffee shop providing Indian food in the £2... | rating[high], familyFriendly[yes], cuisine[Indian] | 3 | NIv2 | task1597_nyc_slot_filling | zs_opt | [
-0.7708225250244141,
0.28003841638565063,
-0.25296828150749207,
-0.4403948187828064,
-0.2962733805179596,
0.6062654256820679,
0.8428812026977539,
0.5112196207046509,
0.13127577304840088,
-0.4949955940246582,
0.44594472646713257,
-0.422252893447876,
-0.6659650802612305,
-0.00032183364965021... |
Detailed Instructions: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expr... | Neutral | 9 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.47126758098602295,
-0.5631296038627625,
-0.1352299451828003,
0.06887657195329666,
0.048732586205005646,
-1.0224552154541016,
0.9824715256690979,
-0.2589675188064575,
0.4178987741470337,
-0.016983110457658768,
-0.34352850914001465,
-0.12432656437158585,
-0.3399008512496948,
-0.2593787908... |
Q: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you sh... | [37, 2021, 207, -615, 0, -1599, -429, 17, -9, -4389] | 7 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.46334129571914673,
0.382801353931427,
-0.488136887550354,
-0.27886587381362915,
-0.06974273920059204,
-0.19479922950267792,
1.2230379581451416,
0.0471891425549984,
-0.093837670981884,
0.10528038442134857,
-0.9183008074760437,
-0.1409960836172104,
-0.37340110540390015,
-0.476888954639434... |
Given the task definition, example input & output, solve the new input case.
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a fr... | #1 return invoices
#2 return #1 from Chicago IL
#3 return number of #2 | 1 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.795473575592041,
-0.04857964068651199,
-0.8706108331680298,
0.8397711515426636,
0.3136892318725586,
-0.2225896418094635,
0.9086686372756958,
0.5172293186187744,
-0.4834367334842682,
0.326287180185318,
-0.3821689188480377,
0.0607951320707798,
0.08715914189815521,
0.5974761247634888,
0.1... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer ... | span | 4 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
0.6461383104324341,
-0.061478499323129654,
-0.27965718507766724,
-0.22086471319198608,
-0.24178561568260193,
0.0244895052164793,
0.0060029467567801476,
0.19390718638896942,
-0.3095625936985016,
0.33062541484832764,
-0.36204618215560913,
-0.08472039550542831,
-0.2892811596393585,
-0.0600143... |
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Q: Riley saved every dollar that they made waiting tables at the local diner.
A: | What does Riley need to do before this? | 4 | NIv2 | task596_mocha_question_generation | zs_opt | [
0.14993853867053986,
1.4238451719284058,
0.40385162830352783,
-0.28339943289756775,
-0.756992518901825,
0.3415640592575073,
0.4331083297729492,
0.31971079111099243,
0.9271069765090942,
-0.6118979454040527,
-0.08561483025550842,
0.25996699929237366,
-0.1433873474597931,
0.8869415521621704,
... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
[EX Q]: Sent... | Unidentifiable
| 6 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-1.1401231288909912,
0.38643646240234375,
0.19966979324817657,
-0.4966764748096466,
0.4091680645942688,
-0.2824461758136749,
-0.2807900309562683,
0.7569953799247742,
0.38187849521636963,
0.32251250743865967,
-0.3847966492176056,
0.24925924837589264,
-0.005558718461543322,
0.010568546131253... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in the s... | 1b, 3c
| 7 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
-0.10827231407165527,
0.12627765536308289,
-0.6370477676391602,
-0.09797833859920502,
-0.1258881837129593,
-0.5422677993774414,
-0.084535151720047,
0.914324164390564,
-0.0960904061794281,
-0.13868993520736694,
-0.8941344618797302,
0.11836917698383331,
0.16941556334495544,
-0.33826816082000... |
Teacher:In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwis... | Option 1 | 6 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.454241544008255,
0.38196706771850586,
-0.32527369260787964,
0.23120668530464172,
0.45896297693252563,
-0.46206289529800415,
-0.45425552129745483,
1.0023249387741089,
0.22939303517341614,
0.3469852805137634,
-0.45470499992370605,
-1.1731188297271729,
-0.1618388593196869,
-0.2902760207653... |
instruction:
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE i... | NOT
| 9 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-0.5653367042541504,
0.3019821345806122,
0.4050213694572449,
0.6819736957550049,
-0.3305681347846985,
-0.4525735378265381,
0.6563959121704102,
0.5642707347869873,
0.8971458077430725,
0.5539776682853699,
-0.13305673003196716,
-0.1539742648601532,
-0.2639648914337158,
-0.454193651676178,
-... |
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Input: Consider Input: Sentence1: Ray walked home from school everyday. Sentence2: And he noticed that the ... | Output: He got a raise at his job for having his new degree!
| 2 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.4652128219604492,
0.6353315711021423,
0.39564377069473267,
-0.5802920460700989,
0.03127354383468628,
-0.3590753376483917,
-0.11719118058681488,
0.858788251876831,
0.2012854963541031,
0.2166358381509781,
-0.6951446533203125,
0.27649638056755066,
-0.4280533790588379,
-0.1544244885444641,
... |
TASK 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 two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
PROBLE... | [15, 40, 28, 196, 75, 63, 66]
| 8 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.14005222916603088,
-0.12387551367282867,
-0.04185670614242554,
-0.5760840177536011,
-0.11779067665338516,
-0.022558456286787987,
1.4642434120178223,
-0.018718954175710678,
-0.28290772438049316,
0.13563136756420135,
-0.6459826231002808,
-0.4818621575832367,
-0.6475145220756531,
-0.314079... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Ex Input:
Havia aglomeração.
Ex Output:
C'erano agglomerati.
Ex Input:
Um pouco como a curvatura do universo.
Ex Output:
Un po 'come la curvatura dell'universo.
Ex Input:
Ainda até que você aprenda como mesclar... | Ma a meno che non impariamo a usare hard power e soft power insieme per adottare così strategie che io chiamo "" smart power "" non riusciremo ad affrontare i nuovi problemi che ci stanno davanti.
| 1 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.82008957862854,
0.8188422322273254,
-0.20181041955947876,
-0.2930467128753662,
-1.0532705783843994,
-0.5953842401504517,
-0.051420409232378006,
0.26567476987838745,
0.47506874799728394,
-0.541014552116394,
-1.1704981327056885,
0.21887102723121643,
0.04973899573087692,
0.0924151986837387... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | 2 | 0 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.5203075408935547,
0.894500732421875,
0.20939207077026367,
-0.665874183177948,
0.03328472375869751,
-0.1653050184249878,
1.534163236618042,
-0.4042125642299652,
0.41481006145477295,
-0.7747260332107544,
-0.15554627776145935,
-0.11718280613422394,
-0.8789864778518677,
-0.3695943355560303,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 0 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
0.4036638140678406,
0.4502776265144348,
0.16316582262516022,
-0.09634041786193848,
-0.5429044961929321,
-0.8804504871368408,
1.6352988481521606,
0.2431851178407669,
-0.47306299209594727,
-0.3991967439651489,
-0.5342592597007751,
-0.2396552562713623,
-0.878949761390686,
0.14827056229114532,... |
instruction:
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
question:
CivilRightsDefenceという団体が計画したイベントで、被疑者の家族や報道を含めた平和的な抗議行動だ。
answer:
ក្រុមការពារសិទ្ធិស៊ីវិល និងសមាជិកគ្រួសាររបស់ជនជាប់ចោទ ព្រ... | លោកបារ៉ាក់ អូបាម៉ា ដែលជាសមាជិកព្រឹទ្ធសភាពថ្មីមួយមកពីរដ្ឋអៀលីនន័រ និងជាបេក្ខជនប្រធានាធិបតីរបស់សហរដ្ឋអាមេរិកឆ្នាំ2008 បានយកឈ្នះលើការប្រកួតប្រជែងទាំងបីក្នុងគណៈបក្សប្រជាធិបតេយ្យថ្ងៃនេះ ការប្រជុំជ្រើសរើសបេក្ខភាពពីរធ្វើនៅរនើប្រាស្កានិងវ៉ាស៊ីនតោន និងការបោះឆ្នោតសាកល្បងធ្វើនៅលូវីសស៊ាណា។
| 9 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.2194199413061142,
0.5617568492889404,
-0.29968422651290894,
-0.05504047870635986,
-0.17562474310398102,
-1.126828908920288,
0.7693946361541748,
0.1157594621181488,
-0.2455102801322937,
0.07318591326475143,
-0.9026006460189819,
0.6665204167366028,
-1.298187494277954,
-0.06384582817554474... |
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'.
Ex Input:
(A) not letting my roommate make out with their bf
(B) leaving the room that I'm having my ... | B
| 1 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.25686725974082947,
0.6711251735687256,
-0.036878276616334915,
-0.1574845314025879,
-0.49902278184890747,
0.0037322454154491425,
-0.28066927194595337,
0.3015926480293274,
0.05598587542772293,
0.4837803244590759,
-0.07665953040122986,
-0.013253798708319664,
0.3062184751033783,
-1.01608562... |
You will be given a definition of a task first, then some input of the task.
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
From the sidelines, his classmates cheer wildly. The referee
Output: | lifts someone's hand overhead. | 1 | NIv2 | task453_swag_answer_generation | zs_opt | [
0.1595299392938614,
1.0843760967254639,
-0.06407603621482849,
0.1852724552154541,
-0.15532857179641724,
0.23281489312648773,
-0.2973995506763458,
0.5420626997947693,
0.7138239145278931,
-0.4059799313545227,
-1.3452081680297852,
-0.23689860105514526,
-0.5769311189651489,
-0.1457353830337524... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Poden ver que hai uns estantes.
A: | في هذه المهمة ، ترون مجموعة من الأرفف. | 7 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.5053313374519348,
0.557208776473999,
0.09178075194358826,
-0.30589285492897034,
-0.12062862515449524,
-0.39121344685554504,
0.16350002586841583,
0.23509620130062103,
0.5267279744148254,
0.44988998770713806,
-0.4340108036994934,
-0.04025312885642052,
-0.5517528653144836,
0.68992233276367... |
Part 1. Definition
In this task, you need to reverse the order of words in the given sentence.
Part 2. Example
Sentence: luggage surrounds a vehicle in an underground parking area
Answer: area parking underground an in vehicle a surrounds luggage
Explanation: This is a correct answer, as it correctly reverses the order... | animal large the at barking field the in is dog the | 7 | NIv2 | task376_reverse_order_of_words | fs_opt | [
-0.17185181379318237,
0.8652198314666748,
-0.5212962627410889,
-0.045690543949604034,
-0.20743997395038605,
0.08120139688253403,
0.5137576460838318,
0.36274629831314087,
0.4951721131801605,
-0.29058170318603516,
-1.2209080457687378,
0.28250622749328613,
-0.10863111913204193,
-0.28255209326... |
Instructions: In this task, you need to write an incorrect answer to the given question. Along with the question, you are also given the correct answer(s) and the associated paragraph. An incorrect answer should be closely related to the content of the paragraph and/or the question but will not truthfully answer the qu... | Anyone can handle it. | 3 | NIv2 | task055_multirc_write_incorrect_answer | zs_opt | [
0.7441871166229248,
0.7765747308731079,
-0.7175728678703308,
-0.18860045075416565,
0.05177070200443268,
-1.1763969659805298,
0.6280641555786133,
1.0696016550064087,
0.2805534601211548,
0.2037677764892578,
-0.5403822660446167,
0.9792566299438477,
-0.582586407661438,
-0.2237366884946823,
0... |
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: फर्क होता है अख़बार के ontent का और इसी ontent के आधार पर आप लोग कहते हैं, ये ताजा खबर है, नई खबर है।
Output: | न्यूजपेपर मध्ये छापण्यात येणारी माहिती रोज वेगळी असते हा फरक असून या आधारावरच लोक म्हणतात ताजी खबर आहे नवीन खबर आहे. | 3 | NIv2 | task1081_pib_translation_hindi_marathi | zs_opt | [
0.5661047697067261,
0.3014507591724396,
0.08855229616165161,
0.825416088104248,
0.21450114250183105,
-0.932701051235199,
0.025546560063958168,
0.21471039950847626,
-0.0964021161198616,
-0.812402069568634,
-1.3490971326828003,
-0.48227083683013916,
-0.2746603488922119,
0.3906252682209015,
... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: המסכים הפכו את האזרחים לצופים.
Student: | الشاشات جعلت المواطن مجرد مُشاهد. | 6 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.11065758019685745,
0.2902088165283203,
0.2562299966812134,
-0.9843947887420654,
0.028617948293685913,
0.23143219947814941,
0.6591117978096008,
0.2505115866661072,
0.7457590103149414,
-0.1700768917798996,
-0.405889630317688,
-0.16503508388996124,
-0.7608493566513062,
-0.48900502920150757... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced... | Non-aggresive | 9 | NIv2 | task335_hateeval_classification_aggresive_en | fs_opt | [
-0.4169863164424896,
0.14835461974143982,
1.0415973663330078,
0.2593735456466675,
-0.28900155425071716,
-0.9503491520881653,
0.41338032484054565,
1.0442909002304077,
-0.07015316188335419,
0.3631375730037689,
0.12213537842035294,
-0.050417087972164154,
-0.9339290857315063,
-0.69718837738037... |
In this task, you are given an article. Your task is to summarize the article in a sentence.
[Q]: Media playback is not supported on this device
Coleman says he will step down when his current contract expires at the end of the 2018 World Cup campaign.
He guided Wales to the Euro 2016 semi-finals in their first appear... | Dozens of leading news organisations, including the BBC, are taking part in a scheme that will allow their web-based articles to load more quickly on smartphones and tablets.
| 5 | NIv2 | task1290_xsum_summarization | fs_opt | [
0.597285270690918,
0.45158010721206665,
-0.6824361085891724,
-0.23197689652442932,
0.6965733170509338,
0.4334098994731903,
0.5601032376289368,
0.9278038740158081,
-0.22930355370044708,
-0.11732716113328934,
0.39604586362838745,
0.33809155225753784,
0.3451560437679291,
0.6210283041000366,
... |
You will be given a definition of a task first, then some input of the task.
In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question shoul... | De quin estil és el Retaule de Sant Miquel? | 1 | NIv2 | task836_viquiquad_question_generation | zs_opt | [
0.377381294965744,
0.6903314590454102,
-0.5497993230819702,
0.3730488419532776,
-0.042207345366477966,
-0.5749115347862244,
0.23196347057819366,
0.9449880123138428,
-0.10897920280694962,
0.14764612913131714,
-0.3546832799911499,
0.7175413966178894,
-0.3476882576942444,
0.6479301452636719,
... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
One example: 5 + 3
Solution is here: 2
Explanation: Here, '+' represents subtra... | -2834 | 6 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.35794639587402344,
0.42603224515914917,
-1.0491313934326172,
0.07131771743297577,
-0.4652393162250519,
0.2595170736312866,
0.9790392518043518,
1.4713492393493652,
0.6520437002182007,
-0.5190161466598511,
-0.6329358220100403,
-0.0008323476067744195,
-0.7515984177589417,
0.123513102531433... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
זהו עולם גופני, והזן נמצא למעשה בתוך הגוף, | انه عالم الجسد ، و بالحق تتواجد الفصائل في الجسد ، | 0 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
0.530544638633728,
0.9272572994232178,
0.021244637668132782,
-0.49771928787231445,
-0.1348574161529541,
0.07372255623340607,
0.12914268672466278,
-0.6072283983230591,
0.6510978937149048,
-0.752328097820282,
-1.2129194736480713,
0.5351083874702454,
-0.993752121925354,
0.5211388468742371,
... |
Given the task definition and input, reply with output. In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of p... | RBR | 5 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
0.2108328640460968,
0.266399621963501,
-0.02851119637489319,
0.36819690465927124,
-0.0976986438035965,
-0.5474464297294617,
0.571764349937439,
0.8958848714828491,
-0.32805919647216797,
-0.4080617129802704,
-0.37791597843170166,
0.31407755613327026,
-0.47567039728164673,
-0.1113018766045570... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Example: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Output: Poradzi sobie, ale trzeba na nią uważać.
The Arabic sentence is correctly translated ... | Pierwszy cel osiągnięty. | 1 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
0.1612531989812851,
1.1224390268325806,
0.06729837507009506,
-0.47234705090522766,
-0.24048161506652832,
0.05268871784210205,
0.8805115222930908,
-0.469523549079895,
0.4738043546676636,
0.3775820732116699,
-0.7366481423377991,
0.21305759251117706,
-0.37603649497032166,
0.18239322304725647,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
つまり全てのものはリミックスでリミックスにより独創性が発揮できます
Output: | Credo che tutto sia un remix, e credo che sia un modo migliore di concepire la creatività. | 1 | NIv2 | task1096_ted_translation_ja_it | zs_opt | [
-0.18673506379127502,
0.828289270401001,
0.1336648166179657,
0.35539934039115906,
-0.12257758527994156,
0.0729050263762474,
0.0034865867346525192,
1.0086908340454102,
0.28733372688293457,
-0.5074030160903931,
-0.5384635925292969,
0.35719168186187744,
-0.6296411752700806,
0.4482755064964294... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Generate a correct and concise answer for the question based on the words in the context.
Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the ... | Aquarius | 0 | NIv2 | task1327_qa_zre_answer_generation_from_question | fs_opt | [
0.9836781024932861,
0.2759743630886078,
-0.42552298307418823,
-0.7950718998908997,
0.07185406982898712,
-0.549087405204773,
0.6525237560272217,
0.41460782289505005,
0.6040380001068115,
0.1424179971218109,
0.6706099510192871,
0.3313180208206177,
-1.450430154800415,
0.49190279841423035,
0.... |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | 1
| 6 | NIv2 | task201_mnli_neutral_classification | fs_opt | [
0.013381993398070335,
-0.444148451089859,
-0.5913085341453552,
0.2612932622432709,
0.17251180112361908,
-0.3438389301300049,
0.5401403307914734,
1.5799052715301514,
-0.19530045986175537,
-0.1764720380306244,
0.10548770427703857,
-0.036173246800899506,
-0.25633761286735535,
-0.4183289706707... |
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