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 |
|---|---|---|---|---|---|---|
In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the input.
Q: The athlete ... | The athlete admired the scientist .
****
| 4 | NIv2 | task1364_hans_answer_generation | fs_opt | [
-0.3358200192451477,
0.4584906995296478,
0.0543043278157711,
0.1416052281856537,
0.44320183992385864,
-0.3187936842441559,
0.01428327988833189,
0.21377041935920715,
0.7161778211593628,
-0.8348230123519897,
-1.093141794204712,
-0.49151527881622314,
-0.23754003643989563,
-0.04308121651411056... |
Given the task definition and input, reply with output. In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by... | None | 5 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.8475298881530762,
0.6939707398414612,
0.2762046456336975,
0.08642049133777618,
0.29396921396255493,
0.2003936469554901,
0.04403338208794594,
0.48067355155944824,
0.38800787925720215,
0.010628335177898407,
-0.6755542159080505,
-0.2686401605606079,
-0.45211973786354065,
-0.040120758116245... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to replace a letter in the sentence with another given letter.
Example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Output: grnup nf mntnrcycle... | a large boat vs out vn the water | 1 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.45888662338256836,
0.6546504497528076,
-0.795558750629425,
-0.2722225785255432,
0.3775632083415985,
-0.0015437714755535126,
-0.32985344529151917,
0.6632087230682373,
0.36537081003189087,
-0.16791799664497375,
-0.37444716691970825,
-0.5165873169898987,
0.1381353735923767,
-0.668509006500... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'a group of people with green jackets riding motor cycles near the street'. Remove all words of length '4' in the given sentenc... | a group of people green jackets riding motor cycles the street | 0 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
-0.029359038919210434,
0.2871270179748535,
-0.3507622182369232,
-0.574966311454773,
-0.19833214581012726,
-0.6049026846885681,
0.018882086500525475,
0.3787948489189148,
0.03720199689269066,
-0.22865960001945496,
-1.3121389150619507,
-0.4786612391471863,
-0.03012801520526409,
-0.50189876556... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Example input: PersonX does PersonX's job well
Example o... | happy,enjoying | 3 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.37196919322013855,
0.5223754644393921,
-0.003504494670778513,
-0.5261391997337341,
-0.6564764976501465,
-0.8134430646896362,
1.4715012311935425,
0.6820956468582153,
0.05977615341544151,
-0.7418137788772583,
0.25604432821273804,
0.16780796647071838,
-0.6893006563186646,
0.618685722351074... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
One example: Title: Marcus Buys Khakis. Sentence 1: Marcus ... | When he awoke, he found that almost all the people had accepted! | 6 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.22483940422534943,
0.9174641370773315,
0.020647110417485237,
-0.17484159767627716,
-0.02165371924638748,
0.4262951612472534,
0.5225582122802734,
0.659196138381958,
0.2341194897890091,
0.06805596500635147,
-0.8492587208747864,
-0.06871236115694046,
-0.42996183037757874,
0.361267775297164... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text ... | Individual | 1 | NIv2 | task337_hateeval_classification_individual_en | fs_opt | [
-1.1087126731872559,
0.5058149695396423,
0.7647109031677246,
-0.36766213178634644,
0.16673561930656433,
-0.45943981409072876,
0.573478102684021,
0.40054816007614136,
-0.11635592579841614,
-0.007048233412206173,
-0.33381420373916626,
0.20692211389541626,
-0.18373963236808777,
-0.64628684520... |
Given the task definition, example input & output, solve the new input case.
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 sa... | what years did cale yarborough win winston cup champs? | 1 | NIv2 | task442_com_qa_paraphrase_question_generation | fs_opt | [
0.07947193086147308,
0.9381070733070374,
0.45810019969940186,
-0.3874204158782959,
0.1364496350288391,
0.052781060338020325,
1.0329399108886719,
0.6837472915649414,
-0.4650936722755432,
-0.40789902210235596,
-1.0723717212677002,
0.1387355923652649,
-0.4154397249221802,
0.1981169581413269,
... |
Detailed Instructions: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Q: ¿Qué fármacos son de utilidad para frenar el hipercortisolismo endógeno?
A: | What drugs are useful to stop endogenous hypercortisolism? | 9 | NIv2 | task1433_head_qa_language_translation_es_to_en | zs_opt | [
-0.16692784428596497,
0.7023434638977051,
0.014285673387348652,
-0.255037397146225,
-0.2633005976676941,
-0.28487417101860046,
0.37200236320495605,
0.5881239175796509,
0.48826420307159424,
-0.8212558627128601,
-0.8527714014053345,
0.27689415216445923,
-0.5030279755592346,
-0.03142331168055... |
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? If you are still confused... | 0 | 2 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.19313424825668335,
-0.2274804413318634,
0.07031624019145966,
0.2237483263015747,
0.16798830032348633,
-0.47005972266197205,
0.387040913105011,
0.3125019669532776,
-0.023211238905787468,
-0.0968489944934845,
0.31274673342704773,
-0.4412328600883484,
-0.23526988923549652,
-0.11549779772758... |
Given the task definition, example input & output, solve the new input case.
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Example: name[xname], cuisine[Fast Food], rating[average], familyFrien... | I would recommend xname because xname is affordable with decent food. it's in Chinatown. | 1 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.5573242902755737,
0.8845528364181519,
-0.6043034791946411,
0.03931259736418724,
0.006037395913153887,
0.16699573397636414,
0.6894742250442505,
0.4041544497013092,
0.22117288410663605,
-0.3574143648147583,
0.5680993795394897,
-0.1287159025669098,
-0.07127316296100616,
-0.0503058880567550... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | occupation
| 3 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.2581062912940979,
0.1613081842660904,
-0.16322848200798035,
0.053271811455488205,
0.23844672739505768,
0.10278817266225815,
-0.14594413340091705,
0.6121730804443359,
0.3341885805130005,
-0.036242030560970306,
-0.056956272572278976,
0.854568600654602,
-1.2815606594085693,
0.28298446536064... |
Detailed Instructions: In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Me... | Building | 9 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | zs_opt | [
0.4125499427318573,
-0.068282350897789,
0.6333422660827637,
0.04669446870684624,
0.27978765964508057,
-0.6506932973861694,
-0.7677010297775269,
0.5187573432922363,
-0.15607428550720215,
-0.6556509137153625,
0.27709174156188965,
-0.4613049030303955,
-0.511896014213562,
-0.020344456657767296... |
In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
济宁市任城区人民检察院指控：一、××罪2016年7月18日凌晨6时许，在位于济宁市任城区太白中路71号院内的济宁百货总公司办... | 放火 | 0 | NIv2 | task1667_cail2018_answer_generation | zs_opt | [
-0.6207091808319092,
0.703162431716919,
-0.027298297733068466,
-0.16479234397411346,
-0.10181772708892822,
0.03307535499334335,
-0.9583240747451782,
0.687250018119812,
-0.31218066811561584,
-0.5316741466522217,
0.08890365064144135,
0.09767375886440277,
-0.20871472358703613,
0.4084420204162... |
A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
Ex Input:
प्रधानमंत्री ने कृषि क्षेत्र में मूल्यवर्धन की अहमियत का भी उल्लेख किया।
Ex Output:
কৃষিতে মূল্য সংযুক্তিকরণের প্রয়োজনীয়তার কথাও প্রধানমন্ত্র... | ভারতে ‘আন্তর্জাতিক সৌর জোট’-এর প্রথম মহাসভা ‘I
| 1 | NIv2 | task1010_pib_translation_hindi_bengali | fs_opt | [
-0.5484260320663452,
-0.3966977000236511,
0.2678438425064087,
0.200839564204216,
-0.04622320830821991,
-0.4859914183616638,
0.1256544291973114,
-0.01740705966949463,
-0.7069809436798096,
0.2690936326980591,
-0.5516771078109741,
-0.12076772749423981,
0.057997532188892365,
0.4489082098007202... |
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].
Verify if the sentiment of the following document towards the entity Shahid Khaqan Abbasi is Positive . âT... | yes
| 0 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-0.48193156719207764,
0.19305092096328735,
0.19221387803554535,
-0.4244157075881958,
-0.5856422185897827,
-0.6434346437454224,
0.725068986415863,
0.5431863069534302,
0.08086469769477844,
0.22792401909828186,
-0.5715585947036743,
0.19008199870586395,
-0.23194855451583862,
0.1886195242404937... |
Part 1. 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 comp... | A, B, E, F. | 7 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.5951715111732483,
0.4014309048652649,
-0.48570284247398376,
0.2892862856388092,
0.11358402669429779,
-0.4688557982444763,
0.7644181251525879,
1.0615978240966797,
0.6169980764389038,
0.39700740575790405,
-0.5189719200134277,
0.6417527794837952,
-0.2852040231227875,
-0.375901997089386,
-... |
Instructions: Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
In... | carpooling | 3 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
-0.39506494998931885,
0.462393581867218,
0.5568295121192932,
-0.3277985155582428,
-0.23626244068145752,
-0.372077077627182,
0.6956062316894531,
0.04453065246343613,
-0.3531264066696167,
-0.7181025147438049,
-0.5065401792526245,
-0.5961347222328186,
-0.4753797650337219,
0.2255772352218628,
... |
In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from the passage (c) have a ... | Què és Thelma i Louise? | 3 | NIv2 | task836_viquiquad_question_generation | fs_opt | [
0.7204046249389648,
1.1989712715148926,
-0.5489171743392944,
0.2563832998275757,
-0.05200967192649841,
-0.034209948033094406,
0.5917381644248962,
0.387675940990448,
-0.3276614546775818,
-0.29974693059921265,
-0.7845618724822998,
0.047147441655397415,
-0.5822030305862427,
-0.066348716616630... |
Teacher:This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "s... | 7000. | 6 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.34472590684890747,
0.653536856174469,
-0.46449095010757446,
-0.45007050037384033,
0.19071057438850403,
-0.9968662261962891,
0.9256871938705444,
1.1351408958435059,
0.48432236909866333,
0.044407933950424194,
-0.2203129082918167,
0.5964399576187134,
-0.6910984516143799,
-0.2589718103408813... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
[EX Q]: Category: physical activity
Words: bend, winter, fall, climb, exercise
[EX A]: winter
[EX Q]: Category: mode of transport... | light
| 6 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
-0.16010266542434692,
0.6721937656402588,
-0.10060460865497589,
-0.2811954617500305,
0.006158539094030857,
0.23039981722831726,
-0.11789773404598236,
0.25876954197883606,
0.035244181752204895,
-0.4749610424041748,
-0.888200581073761,
0.08531972765922546,
-0.8314980864524841,
0.129160672426... |
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.
એક ઘેરી, ધુમ્મસવાળું રાતનું દ્રશ્ય, શેરીની લંબાઈને બતા... | Gujarati | 0 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.9721245765686035,
0.32131147384643555,
1.0300350189208984,
-0.23628392815589905,
-0.07915236055850983,
-0.22203579545021057,
0.36622798442840576,
0.01344778947532177,
-0.04911014437675476,
-0.5634288787841797,
-0.7080856561660767,
-0.04634489119052887,
-0.26956722140312195,
0.0066828690... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You sh... | Of the two players Pouille faced at he 2013 French Open, which achieved the highest career ranking? | 1 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.24243754148483276,
0.40233689546585083,
-1.103045105934143,
-0.24692341685295105,
0.9059646129608154,
-0.15678463876247406,
1.2212399244308472,
1.1411967277526855,
-0.009721560403704643,
0.3633067011833191,
-0.23547066748142242,
0.2732433080673218,
-0.3260756731033325,
0.0998199954628944... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
--------
Question: Comment: So who is going to be put in charge of wak... | Non-sexual-explicit
| 7 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.21946346759796143,
0.20826256275177002,
-0.06713506579399109,
0.47282710671424866,
-0.19879835844039917,
-0.5005509853363037,
-0.07906103134155273,
0.5883983373641968,
-0.2802882194519043,
0.18532535433769226,
-0.4842105507850647,
0.19767333567142487,
-0.18755030632019043,
-0.7919170856... |
TASK DEFINITION: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
PROBLEM: It's nice to revisit all the memories.
SOLUTION: Do you enjoy being back home?
PROBLEM: I'm down for a nice long spin.
SOLUTION: Want to go for a bike ride tomorrow?
PROBLEM: I've alw... | Have you ever been to the opera?
| 8 | NIv2 | task568_circa_question_generation | fs_opt | [
0.4975634515285492,
0.1967427134513855,
-0.42801305651664734,
-0.12264151871204376,
0.1350902020931244,
-0.580774188041687,
0.5725557804107666,
0.1033560186624527,
0.4345749020576477,
-0.11876293271780014,
-0.40165144205093384,
0.3973015546798706,
-0.46401095390319824,
0.09040845930576324,... |
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
[EX Q]: Human females have ____ X chromosomes.\Question: Choose the right answer from options given a) two b) six c) one d) eight
[EX A]: a
[EX Q... | b
| 6 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.6256403923034668,
0.321469783782959,
-0.3979896903038025,
-0.6948714852333069,
-0.44645264744758606,
-0.7280067801475525,
0.5116527080535889,
0.6849269270896912,
-0.18879446387290955,
-0.011039616540074348,
-0.5584548711776733,
-0.5149868726730347,
-0.3214966058731079,
0.031296495348215... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
--------
Question: I ordered these after a fair bit of searching online... | 1
| 7 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
0.41467684507369995,
-0.05353930592536926,
-0.13902533054351807,
0.6656930446624756,
0.5318392515182495,
-1.021343469619751,
0.7853358387947083,
0.8600565791130066,
-0.6917908191680908,
0.2279520183801651,
-0.03606712445616722,
-0.5512477159500122,
-0.8139731884002686,
0.10163275897502899,... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Problem:این خوشه ها چقدر بزرگ هستند ؟ تا چه فاصله ای را پوشش می دهند ؟
Solution: | כמה גדולים המקבצים? כמה רחוק הם מגיעים? | 8 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.3878282904624939,
0.5128141641616821,
0.1752358227968216,
0.0462576225399971,
-0.04909084737300873,
-0.07255819439888,
0.5712381601333618,
0.04375004768371582,
0.24262738227844238,
-0.5854962468147278,
-1.6934888362884521,
0.8001998066902161,
-0.6408284306526184,
0.6479465961456299,
0... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
****
| 4 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.25022321939468384,
0.31293725967407227,
0.30079054832458496,
-0.6067937612533569,
-0.9682939052581787,
-0.4778158366680145,
1.4705926179885864,
0.371246874332428,
-0.1708749234676361,
-0.4152415990829468,
-0.5700873732566833,
-0.5318015813827515,
-0.7520248293876648,
0.30370214581489563,... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Let me give you a... | 1, 2, 5, 6, 12, 17, 18, 19 | 8 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
0.29497307538986206,
-0.21990707516670227,
-0.7013273239135742,
-0.5296051502227783,
0.3626139163970947,
-0.552248477935791,
0.8176754713058472,
0.1570448875427246,
-0.8613207340240479,
0.2903135418891907,
-0.6855060458183289,
-0.02576519548892975,
-0.35876232385635376,
0.5049424171447754,... |
instruction:
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
question:
[[30, 28, -31, -8, 35], [-2... | [-1080, -799200, 4300, -164, 97920]
| 9 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.3014225959777832,
-0.021837487816810608,
-1.0851268768310547,
-0.1498049795627594,
-0.027378283441066742,
-0.5556896328926086,
1.2604808807373047,
0.5478447675704956,
-0.7585434913635254,
-0.16047921776771545,
-1.068818211555481,
0.3057846128940582,
-0.746132493019104,
-0.279870390892028... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or t... | None | 0 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.1455243080854416,
0.14398789405822754,
-0.30937689542770386,
0.12465637922286987,
0.06360214948654175,
-0.009972674772143364,
0.5348929762840271,
0.4604378044605255,
-0.07150822877883911,
-0.13032567501068115,
-0.13989104330539703,
-0.46284401416778564,
-0.21970289945602417,
-0.02429280... |
A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Example Input: 4)ఎంట్రి 41 విషయంలో కింది ప్రత్యామ్నాయం చేరుస్తారు అవి 41.
Example Output: प्रविष्टि 41 के लिए बदले में निम्न प्रविष्टि होगी 41 सवर, संवारा... | अब इस पाबंदी को समाप्त करने और विदेशी एयरलाइनों को एयर इंडिया में मंजूरी रूट के तहत 49 प्रतिशत तक निवेश करने की अनुमति देने का निर्णय लिया गया है।
| 3 | NIv2 | task1046_pib_translation_telugu_hindi | fs_opt | [
0.30538976192474365,
-0.18834735453128815,
-0.14411130547523499,
0.6886579990386963,
0.25335264205932617,
-0.3376903533935547,
-0.20140768587589264,
1.0727750062942505,
-0.11625941842794418,
0.47305965423583984,
-0.21362099051475525,
0.5221424102783203,
-0.14080479741096497,
0.258777141571... |
Detailed Instructions: 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 -
'.': ... | NUM | 8 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.2743098735809326,
0.022979889065027237,
-0.23197679221630096,
0.0026184185408055782,
0.03840552270412445,
-0.5302078127861023,
0.5690746307373047,
0.7351699471473694,
-0.2872968018054962,
0.11814431846141815,
-0.5118269920349121,
0.06926766782999039,
-0.6087902784347534,
0.25811403989791... |
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: Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Notti... | Solution: 3 | 5 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.10400879383087158,
0.278087317943573,
0.25256669521331787,
-0.325860857963562,
-0.07758570462465286,
0.27315565943717957,
0.2204582393169403,
0.37260425090789795,
-0.07047826051712036,
-0.2640688419342041,
-0.55342698097229,
-0.3807820975780487,
-0.28520864248275757,
0.06891729682683945,... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Changed
| 3 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.8589257001876831,
1.0034213066101074,
0.2750159502029419,
-0.12557995319366455,
-0.09177408367395401,
-0.15424460172653198,
0.16341643035411835,
0.9104387760162354,
0.22909408807754517,
-0.3854735493659973,
-0.599940836429596,
-0.6112594604492188,
-0.8400286436080933,
-0.313022553920745... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
درسته ، این واقعا در قران هست ، ولی تحت شرایط ویژه. در زمان فتح مکه شهری که جنگ در شهر مقدس مکه ممنوع است درسته ، این واقعا در قران هست ، ولی تح... | نعم ، انها تقول ذلك ، ولكن في سياقٍ محدد جدا فقط: عند فتح متوقع في حرم مدينة مكة المكرمة حيث كان القتال ممنوعا عادة. ويأتي الإذن محميا بشروط. | 1 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.045588333159685135,
0.8581055402755737,
-0.5999428033828735,
-0.17205432057380676,
-0.6027789115905762,
0.09389440715312958,
0.7765600681304932,
0.4116899371147156,
0.5998265147209167,
-0.28311020135879517,
-0.5482402443885803,
-0.0852411687374115,
-0.8979065418243408,
0.176718100905418... |
Part 1. Definition
In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, the... | None | 7 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | fs_opt | [
-0.2831552028656006,
0.3861912488937378,
-0.3998756408691406,
0.3561059236526489,
-0.14712929725646973,
-0.34285834431648254,
1.2727631330490112,
-0.12182892858982086,
0.3934403657913208,
-0.6530880928039551,
-0.6695396900177002,
0.8903104066848755,
-0.22253721952438354,
0.0739543065428733... |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
How can I import email messages from Outlook into Gmail? | Is it worth switching from Gmail to iCloud for email? | 0 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-1.0684807300567627,
1.01515793800354,
0.3167467713356018,
-0.7550702095031738,
0.40680190920829773,
-0.8522383570671082,
0.47771039605140686,
-0.0853472501039505,
0.14175204932689667,
-0.36223304271698,
0.05890946090221405,
0.21691526472568512,
-0.202134370803833,
0.07256682217121124,
-... |
instruction:
In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
question:
What is on my calendar tomorrow?
answer:
You have one event on your calendar. Your "Epic quest to defeat e... | I've put that on your calendar.
| 9 | NIv2 | task1603_smcalflow_sentence_generation | fs_opt | [
-0.24272745847702026,
0.25388723611831665,
-0.342174768447876,
-0.8271342515945435,
-0.5860035419464111,
-0.8645098209381104,
0.7333105802536011,
-0.32423606514930725,
0.3743961453437805,
-0.15473602712154388,
-0.20855027437210083,
0.2572064697742462,
-0.37770915031433105,
0.10497182607650... |
In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a d... | clouds moving over the trees | 4 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.2391885370016098,
0.1139664351940155,
-0.31723159551620483,
-0.3254334330558777,
-0.3016033172607422,
-0.8601603507995605,
0.0720144510269165,
1.0204910039901733,
-0.3122158944606781,
0.028737280517816544,
-0.39723876118659973,
-0.5315999984741211,
-0.1895439624786377,
0.044031254947185... |
TASK DEFINITION: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
PROBLEM... | 25431
| 8 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.18874317407608032,
0.2304256558418274,
-0.3491359353065491,
0.035730041563510895,
0.25708940625190735,
-0.029187239706516266,
0.28116464614868164,
0.5083334445953369,
-0.26865607500076294,
-0.049865446984767914,
-0.6246777772903442,
-0.1937488317489624,
-0.7243000268936157,
0.12358394265... |
Definition: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it sho... | Yes | 2 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.5614650249481201,
0.37479108572006226,
0.6264399290084839,
0.2302786111831665,
-0.18844616413116455,
0.024842213839292526,
0.5626122951507568,
0.8578800559043884,
-0.007008671760559082,
-0.572587788105011,
-0.6357499361038208,
0.6404990553855896,
-0.7080118656158447,
0.5224396586418152,... |
Given the task definition and input, reply with output. In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from... | What closes around Joyce? | 5 | NIv2 | task193_duorc_question_generation | zs_opt | [
0.6114051342010498,
0.1663208305835724,
-0.5133215188980103,
-0.14107182621955872,
0.5084150433540344,
-0.2629932165145874,
1.0304553508758545,
0.7589703798294067,
-0.3205694258213043,
0.6842650175094604,
-0.4617488384246826,
0.32109689712524414,
-0.15212589502334595,
0.5768796801567078,
... |
Given the task definition, example input & output, solve the new input case.
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Example: Then, the camel stops and the woman gets down from the camel.
Output: A woman rides a camel hold... | The skiers cut back and fourth down a steep ski slope hill. | 1 | NIv2 | task455_swag_context_generation | fs_opt | [
-0.09186255186796188,
0.8265429139137268,
-0.6760760545730591,
0.2561517357826233,
-0.04939284175634384,
0.25101250410079956,
-0.3099045157432556,
1.2666767835617065,
0.7288616895675659,
-0.3805840313434601,
-0.7334281802177429,
0.15044882893562317,
-0.03194486349821091,
-0.269562065601348... |
Given a text, write a compressed version of it in a single sentence.
Q: But natural games are not quite so straightforward. I begin by mentioning again the rather surprising no-free-lunch theorem proved by Bill Macready and David Wolpert as postdoctoral fellows at the Santa Fe Institute a few years ago.
A: Natural ga... | The hierarchy upward in a complexity is a "sink" where the order of the universe contructed by such agents has been "dumped" by the biosphere for billions of years.
****
| 4 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-1.0922789573669434,
0.15349440276622772,
-0.5090780258178711,
-0.17265012860298157,
-0.4455167055130005,
-0.27376794815063477,
0.6201555728912354,
0.22253288328647614,
0.24173343181610107,
-0.2021840512752533,
0.10657963156700134,
-0.13078190386295319,
-1.010955572128296,
0.00065421382896... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Example input: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2... | These findings suggest that the influences of butyrate on colonic inflammatory responses may result in part from its influence on NF-kappaB activation. This activity of butyrate apparently involves its ability to inhibit deacetylases. | 3 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.2399098128080368,
0.303851842880249,
-0.36869728565216064,
0.17336615920066833,
0.5647821426391602,
-0.5166754126548767,
0.41389787197113037,
0.7629712820053101,
-0.08118432760238647,
0.35438400506973267,
-0.47803395986557007,
0.12166152894496918,
-0.9140708446502686,
0.3290947675704956,... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Q: The more you sweat, the faster you will burn calories and fat.
A: Cu cât transpiri mai mult, cu atât vei arde mai repede calorii și grăsimi.
****
Q: Hurricane Isaac Moves Inland... | O maimuță bate la tobe.
****
| 4 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
0.11428685486316681,
0.7539212703704834,
-0.3595036566257477,
-0.22985048592090607,
-0.512235164642334,
-1.1986315250396729,
-0.20616573095321655,
0.7450662851333618,
0.7520506381988525,
0.3567156195640564,
0.4876956343650818,
-0.33474352955818176,
-0.7450162172317505,
-0.07873798906803131... |
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... | scrape off as much tape as you can using a cotton swab, apply nail polish remover with a cloth, let it set, then remove the tape and wash the glass well.
| 3 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.2226373553276062,
0.8132154941558838,
-0.6763554811477661,
0.6232703328132629,
-0.36791396141052246,
-0.7479982376098633,
0.2941036820411682,
0.5258492231369019,
-0.05446125194430351,
0.4431131184101105,
-0.38091227412223816,
0.2707371115684509,
-0.24991880357265472,
-0.27037572860717773... |
Q: In this task, you are given a sentence. You are expected to recognize the name of any form of chemical substances. Although there might be several correct answers, you need to write one of them.
Aspirin inhibits mTOR signaling, activates AMP-activated protein kinase, and induces autophagy in colorectal cancer cells.... | mTOR | 7 | NIv2 | task1483_chemical_extraction_chemprot_dataset | zs_opt | [
0.5201199054718018,
0.31127792596817017,
0.3693816661834717,
-0.17191307246685028,
-0.0981072187423706,
-0.6872541904449463,
0.7397589087486267,
0.5351302623748779,
0.13274061679840088,
0.32089418172836304,
-0.05949174240231514,
-0.34561437368392944,
-1.10664701461792,
-0.14559799432754517... |
Given the task definition and input, reply with output. This task is about translating a given English language sentence to Yoruba language.
In 1982, the complete New World Translation of the Holy Scriptures was released, with printing and binding done in Japan.
| Láàárín ọdún mẹ́sàn tá a mú un jáde, a pín ẹ̀dà mílíọ̀nù kan ó lé ẹgbẹ̀rún lọ́nà ogóje (1,140,000) fáwọn èèyàn, èyí sì fẹ́rẹ̀ẹ́ tó ìlọ́po márùndínlọ́gọ́rin (75) iye àwọn akéde tó wà ní Japan nígbà náà. Lọ́dún 1982, a mú Ìwé Mímọ́ ní Ìtumọ̀ Ayé Tuntun jáde lódindi, orílẹ̀-èdè Japan la ti tẹ̀ ẹ́, ibẹ̀ náà la sì ti dì í p... | 5 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.41674795746803284,
0.2340984046459198,
-0.15693040192127228,
0.7583966851234436,
0.5835258960723877,
-0.23986314237117767,
-0.640609622001648,
0.34471166133880615,
0.48711010813713074,
-0.5786784887313843,
-0.3042582869529724,
0.668825626373291,
-0.5457613468170166,
0.23192012310028076,
... |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
--------
Question: Sentence1: Sarah had never been on a boat befor... | A
| 7 | NIv2 | task296_storycloze_correct_end_classification | fs_opt | [
0.1623622477054596,
0.038151293992996216,
-0.7708029747009277,
0.02012672834098339,
0.256712406873703,
-0.4968722462654114,
0.45285743474960327,
0.8517336845397949,
-0.3372776508331299,
0.12444949895143509,
-0.1645483672618866,
0.02434743568301201,
-0.039503954350948334,
-0.635188102722168... |
TASK DEFINITION: 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 e... | No
| 8 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.641006350517273,
-0.5303546190261841,
0.06071484088897705,
-0.2730899155139923,
0.18894922733306885,
-1.0710458755493164,
1.7294063568115234,
0.5553523302078247,
-0.934420645236969,
-0.2635076344013214,
-0.4186350107192993,
0.1790304332971573,
-0.6527782678604126,
0.4830265939235687,
0... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given 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 pa... | no | 0 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.3021125793457031,
-0.14843329787254333,
0.2949174642562866,
-0.03996531665325165,
0.19336551427841187,
-0.873615026473999,
0.3138135075569153,
0.511269211769104,
0.01657305471599102,
0.3160126209259033,
-0.020367827266454697,
-0.3146744966506958,
-0.062373701483011246,
0.080756172537803... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Ex Input:
که از کشتیهای نیواورلئان پیاده میشدند.
Ex Output:
gringas on the boats from New Orleans.
Ex Input:
و با این کار درواقع خودش را دست انداخته است.
Ex Output:
and that he would make a fool of himself.
Ex Inp... | there being neither ceremony nor fearfulness to delay the moment of meeting, she was with him as he entered the house,
| 1 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.6782349348068237,
0.42024731636047363,
-0.7970961332321167,
0.055065833032131195,
-0.8095537424087524,
-0.5076481103897095,
0.5127079486846924,
0.4940120577812195,
0.7398800849914551,
0.2607230544090271,
-0.36933469772338867,
0.6379936933517456,
-0.1830138862133026,
-0.09847888350486755... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following ex... | an apple | 2 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.14898613095283508,
0.06706075370311737,
-0.34122011065483093,
-0.038173459470272064,
-0.19595515727996826,
-0.42502275109291077,
0.0358084961771965,
0.696510374546051,
0.46929481625556946,
-0.22417379915714264,
-0.3171650767326355,
-0.1910935789346695,
-0.6457082033157349,
0.29624453186... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Example input: ولكن ماهي حقوق الإنسان ؟
Example output: Mas o que são direitos humanos?
Example explanation: The Arabic sentence is correctly translated into Portugese, because the meaning is preserved.
Q: وماذا سيكون مصير... | E como sobreviverão numa terra estranha? | 3 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.19564393162727356,
1.0380975008010864,
-0.2852327525615692,
-0.6105385422706604,
-0.8645918369293213,
-0.25439342856407166,
0.5824993848800659,
0.3135179281234741,
0.17985223233699799,
-0.13837867975234985,
-1.1177254915237427,
0.33166050910949707,
-0.8886652588844299,
0.321607708930969... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Example Input: Context: dang I'm Mormo... | no
| 3 | NIv2 | task241_tweetqa_classification | fs_opt | [
0.5054116249084473,
-0.3439865708351135,
-0.25617900490760803,
0.49517542123794556,
0.31949132680892944,
-0.8412931561470032,
0.38797569274902344,
0.0416484996676445,
-0.4755716919898987,
-0.08474119007587433,
-0.19535791873931885,
0.1353783905506134,
0.3045586943626404,
0.1855466365814209... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of lo... | less { hop { filter_eq { all_rows ; player ; jerry grote } ; from } ; hop { filter_eq { all_rows ; player ; andrew goudelock } ; from } } | 0 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.461387038230896,
-0.09106599539518356,
-0.431317001581192,
0.6724115610122681,
0.372846782207489,
-0.594426155090332,
0.30956125259399414,
0.32412004470825195,
-0.00003108929377049208,
-0.20298345386981964,
-0.5223063826560974,
0.03982025757431984,
-0.20239408314228058,
0.532643556594848... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Example input: A Miña esperanza é que a beleza e propósito deste universo microscópico poida inspirar enfoques novos e creativos na investigación do cancro.
Example output: No final, espero que a beleza e propósito des... | Vamos brincar um pouco. | 3 | NIv2 | task1246_ted_translation_gl_pt | fs_opt | [
-1.1564416885375977,
1.08555006980896,
-0.3399318754673004,
-0.9299389123916626,
-0.33598488569259644,
-1.2126820087432861,
-0.9376929402351379,
0.5395128726959229,
-0.4258081912994385,
-0.1808328628540039,
-0.6694623827934265,
0.6143556833267212,
-0.7712001800537109,
0.18064497411251068,
... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Q: Text: Para sa aming mga tanggapan sa UK, kami ay naghahanap para sa isang:
A: | Tagalog | 4 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
0.11663394421339035,
0.4988833963871002,
0.7525855302810669,
-0.7623488903045654,
0.30143266916275024,
-0.866917610168457,
-0.09353984892368317,
0.03658206760883331,
0.4979451298713684,
-0.04169240966439247,
0.6836053729057312,
0.5308650732040405,
-0.5683196187019348,
0.18379142880439758,
... |
Teacher:In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Teacher: Now, understand the problem? Solve this instance: SECTION 1. SHORT TITLE.
This Act may be cited as the ``Medicare Patient Choice Act of
1995''.
SEC. 2. FINDINGS.
... | Medicare Patient Choice Act of 1995 - Amends title XVIII (Medicare) of the Social Security Act to require health maintenance organizations and competitive medical plans, among other things, to: (1) have a minimum 85 percent loss-ratio of benefits-to-premiums; (2) assure Medicare enrollees timely access to in-network pr... | 6 | NIv2 | task1658_billsum_summarization | zs_opt | [
0.8697860240936279,
-0.25922155380249023,
-0.32657283544540405,
-0.223054438829422,
0.7461645603179932,
-0.10600300133228302,
1.0515542030334473,
1.1699860095977783,
-0.06159374117851257,
0.6934456825256348,
-0.06324590742588043,
0.1939104050397873,
0.34704750776290894,
-0.0608176253736019... |
Instructions: Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no ... | Neutral | 3 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
0.1860649436712265,
-0.21772004663944244,
-0.08912703394889832,
0.32569587230682373,
0.2470727264881134,
-0.6279975175857544,
1.3908566236495972,
0.3104185461997986,
-0.5451536178588867,
0.05185708776116371,
-0.5400828123092651,
-0.44980156421661377,
0.31405872106552124,
-0.178770422935485... |
You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0.
Let me give you an example: System Reference: x is a reasonably priced fast... | 1 | 8 | NIv2 | task1284_hrngo_informativeness_classification | fs_opt | [
-0.8193085193634033,
0.7965753078460693,
-0.7859570384025574,
-0.34965306520462036,
-0.5360100269317627,
-0.7990913391113281,
1.5856366157531738,
0.621536135673523,
0.09836241602897644,
-0.015370343811810017,
-0.3310824930667877,
-0.6372498273849487,
-0.2632899880409241,
0.2652070522308349... |
Given the task definition and input, reply with output. In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Passage: Once Upon a Time (season 7) -- The seventh season of the... | 1 | 5 | NIv2 | task1661_super_glue_classification | zs_opt | [
-0.037852801382541656,
1.208599328994751,
-0.1769193410873413,
-0.040787629783153534,
0.17764925956726074,
-0.4015132486820221,
0.4823651611804962,
0.4753645658493042,
-0.16971023380756378,
0.016206782311201096,
-0.13096317648887634,
0.45302438735961914,
-0.519164502620697,
0.1117971539497... |
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.
Kahit ang mga bilang ng mga naniningarilyo at mananatili o bumaba sa mga maunlad na mga l... | 先進地域での喫煙者の数は一定の値で固定しているか減少しているが、世界の人口の多くが住んでいて、すでに世界の喫煙者の84％を抱えている発展途上や過渡期の地域では上昇している。 | 5 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-1.0038009881973267,
0.8129230737686157,
0.06812291592359543,
-0.377191960811615,
-0.2580900192260742,
0.050493769347667694,
0.5763183832168579,
0.039986226707696915,
0.017163658514618874,
-1.0092625617980957,
-1.1865613460540771,
0.4751341938972473,
-1.1948370933532715,
0.7667393684387207... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
See one example below:
Problem: این یک خانه ی اسکیمو می شود.
Solution: Così diventa un igloo.
Explanation: The Farsi sentence is correctly translated into Italian, because the meaning is preserved.
Pro... | Adesso ce n'è un altro. | 4 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.5409048795700073,
0.750672459602356,
-0.5049120187759399,
-0.17115351557731628,
-0.40064185857772827,
-0.9449477791786194,
0.7396664619445801,
0.47426092624664307,
0.11893650144338608,
-0.33504050970077515,
-0.4865926504135132,
1.0722357034683228,
-0.5783145427703857,
0.4154382050037384... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
One example: Lucifer how many episodes are in season 3?
Solution is here: How many episodes o... | Who was the highest paid NBA player from for the 2017-18 NBA season? | 6 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.39922457933425903,
0.13337039947509766,
-0.05004536360502243,
-0.7024606466293335,
-0.07083863765001297,
-0.05861306190490723,
0.2812780737876892,
-0.5284991264343262,
-0.14116398990154266,
-0.295492947101593,
-0.32368549704551697,
0.40616241097450256,
-1.0157620906829834,
0.02737467736... |
Q: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected c... | ab | 7 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.5011579990386963,
0.5788763761520386,
0.04429873079061508,
-0.061926230788230896,
-0.16570182144641876,
-0.4186984896659851,
0.7166253924369812,
0.709180474281311,
0.06687139719724655,
0.44040974974632263,
0.11887989938259125,
0.13123095035552979,
-0.311703085899353,
-0.2459583133459091... |
In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.
V... | Neutelings: B-PER | 0 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.5481517314910889,
0.37217283248901367,
0.25093233585357666,
0.028543703258037567,
-0.3569784164428711,
-0.12301193177700043,
1.6149176359176636,
0.036583732813596725,
0.10077101737260818,
-0.5488709807395935,
-0.601900577545166,
0.15053066611289978,
-0.03901241719722748,
0.1145586222410... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Example: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Output: Es una lucha interna, una lucha en contra ... | Aunque estamos haciendo algo aparentemente revolucionario, realmente nos proponemos hacer tan pocas cosas nuevas, como es posible. | 1 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-0.25452831387519836,
0.3268950283527374,
-0.30528920888900757,
0.06088779866695404,
0.03133835643529892,
0.007171466946601868,
-0.31333303451538086,
0.680100679397583,
-0.10717889666557312,
-0.4377901256084442,
-0.40365633368492126,
-0.2673274278640747,
-0.8945968151092529,
-0.50882017612... |
Given the task definition and input, reply with output. In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
im very much the opposite of it my cool is based on drinking and socializing without rememberiing meeti... | love | 5 | NIv2 | task512_twitter_emotion_classification | zs_opt | [
-1.1783102750778198,
0.4379986524581909,
0.5300650000572205,
0.5816119313240051,
-0.17015014588832855,
-0.7708741426467896,
-0.01970505714416504,
0.1839921921491623,
0.6267814040184021,
-0.1417005956172943,
0.10141769796609879,
-0.33286988735198975,
-0.5256398320198059,
0.12918978929519653... |
Q: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Context: Riley talked to Remy a bit before he left for school.
Answer: did this to catch up
A: | Why did Riley do this? | 7 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
0.031577613204717636,
1.251131296157837,
0.8860659599304199,
-0.8071255683898926,
-0.8202159404754639,
-0.23333892226219177,
0.008584259077906609,
0.5442394018173218,
0.5985224843025208,
-0.4939321279525757,
-0.2556012272834778,
0.3572273552417755,
-0.9068810939788818,
0.466857373714447,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Q: להשתמש בביוטכנולוגיה היכן שזה שימושי, בעיקר במניעתם של מזיקים ומחלות.
A: | Usando a biotecnologia onde é útil, especialmente contra pragas e na resistência a doenças. | 4 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
-0.8032598495483398,
0.5499717593193054,
0.01716376468539238,
0.7765313386917114,
-0.7196723222732544,
-0.5595666170120239,
0.041521962732076645,
0.6536055207252502,
0.10300438106060028,
-0.23185420036315918,
-0.9422173500061035,
0.9734617471694946,
0.18858349323272705,
0.06371723860502243... |
Part 1. Definition
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 reasonable pr... | Ein Zeitungstext wird durch eine Bombe beendet. | 7 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.4508737325668335,
0.5303404331207275,
0.41574710607528687,
-0.2798992097377777,
0.22921761870384216,
-0.5397058725357056,
0.4709726870059967,
0.856717586517334,
0.3533996641635895,
-0.30536240339279175,
-0.5663591623306274,
0.03524918109178543,
-1.265394687652588,
0.23447763919830322,
... |
You need to answer the question 'Are the given steps in order?', given a set of steps describing a process. Your answer must be either Yes or No. If the answer is No, that means the steps are out of order and do not make sense in the order they are in. If the answer is Yes, that means the steps are in order and make se... | No | 9 | NIv2 | task1548_wiqa_binary_classification | fs_opt | [
0.4971104860305786,
-0.13313652575016022,
-0.9218442440032959,
0.2033756971359253,
0.010933855548501015,
-0.8889230489730835,
0.25836601853370667,
1.1030268669128418,
-0.7847630977630615,
0.3556309640407562,
0.012547567486763,
-0.45782774686813354,
0.06622746586799622,
0.4244228005409241,
... |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | true | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-0.922916054725647,
-0.03088969737291336,
0.9211487770080566,
0.7745181918144226,
-0.29718518257141113,
-1.5182225704193115,
0.09135088324546814,
0.7784684896469116,
0.3757745623588562,
0.35460197925567627,
-0.18799030780792236,
-0.6191095113754272,
-0.5739488005638123,
-0.480277419090271,... |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example Input: প্রধানমন্ত্রী বলেন, সমগ্র ব্যবস্থাটিকে উদ্ভাবন-বান্ধব করে তুলতে তাঁর সরকার কাজ করে চলেছে। এরফলে, নতুন নতুন চিন্তাভাবনা জন্ম নেবে আর তা থে... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ, ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਦੀ ਪ੍ਰਧਾਨਗੀ ਹੇਠ ਅੱਜ ਇੱਥੇ ਕੇਂਦਰੀ ਮੰਤਰੀ ਮੰਡਲ ਦੀ ਮੀਟਿੰਗ ਵਿੱਚ ਹੋਰ ਪਿਛੜੇ ਵਰਗਾਂ (ਓ ਬੀ ਸੀਜ਼) ਦੇ ਉੱਪ-ਸ਼੍ਰੇਣੀਕਰਨ ਦੇ ਮੁੱਦੇ ਉੱਤੇ ਸੰਵਿਧਾਨ ਦੀ ਧਾਰਾ 340 ਅਧੀਨ ਇੱਕ ਕਮਿਸ਼ਨ ਕਾਇਮ ਕਰਨ ਨੂੰ ਪ੍ਰਵਾਨਗੀ ਦੇ ਦਿੱਤੀ ਹੈ।
| 3 | NIv2 | task1025_pib_translation_bengali_punjabi | fs_opt | [
-0.18764688074588776,
0.4062815308570862,
-0.2899596691131592,
-0.03878150135278702,
-0.1646982878446579,
-0.4278625249862671,
0.7878708839416504,
0.9750361442565918,
-0.09795662760734558,
0.5075435042381287,
-1.287086009979248,
0.2960807681083679,
0.017199566587805748,
-0.3243144750595093... |
Teacher:In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Teacher: Now, understand the problem? Solve this instance: Eric chose not to share only zucchini with Joel, so _ was still hungry. (A) Eric (B) J... | B | 6 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
-0.260200560092926,
0.3345625400543213,
0.5368629693984985,
-0.3229208290576935,
-0.6327565908432007,
-0.561855137348175,
1.3081090450286865,
0.3411661982536316,
-0.2548595666885376,
-0.3739585280418396,
0.6613290309906006,
-0.038994960486888885,
-0.34122687578201294,
-0.45441409945487976,... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of 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... | [48, 41] | 1 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.21113839745521545,
0.3435226082801819,
-0.20042304694652557,
-0.023397427052259445,
0.07051433622837067,
0.16438502073287964,
0.9401109218597412,
-0.0010102333035320044,
0.17337428033351898,
0.23020580410957336,
-0.6168085336685181,
-0.46253859996795654,
-0.5676993727684021,
-0.53901481... |
Teacher:The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translati... | Ove mlade dame žive u kulturi riže, ali one znaju nešto što jako malo ljudi u kulturi riže zna. | 6 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.3340393602848053,
0.639712929725647,
-0.3737957179546356,
0.28187233209609985,
0.29844510555267334,
-0.7272875905036926,
0.15311911702156067,
0.35551464557647705,
-0.49046456813812256,
-0.06219692900776863,
-0.25336289405822754,
0.02215564250946045,
-0.43195414543151855,
-0.158522754907... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
এক্ষেত্রে প্রদেয় সুদের হারকে... | അടുത്ത തലമുറ അടിസ്ഥാനസൗകര്യവും വേഗവും വൈദഗ്ധ്യവും വലിപ്പവുമെല്ലാം ഊന്നല് നല്കേണ്ട മേഖലകളായി തിരിച്ചറിഞ്ഞുകൊണ്ട് ഒരു പുതിയ ഇന്ത്യ കെട്ടിപ്പടുക്കാന് ഞങ്ങള് പ്രതിജ്ഞാബദ്ധരാണ്. | 0 | NIv2 | task1003_pib_translation_bengali_malayalam | fs_opt | [
-0.3650950789451599,
0.6148778796195984,
0.037607692182064056,
-0.35624033212661743,
-0.12330539524555206,
-0.39916735887527466,
1.0212119817733765,
0.7253023386001587,
0.287954717874527,
0.31927490234375,
-0.8744639158248901,
-0.19522303342819214,
-0.5220212936401367,
0.020005811005830765... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Sentence1: Thank you for using Cambridge TownInfo centre, and have a wonderful day. Sentence2: Sure. A white Lexus will pick you up at 1:30 at Saffron Brasserie. The contact number is 07399... | Answer: (B) System | 0 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.2901998460292816,
0.34561383724212646,
-0.012808212079107761,
-0.5965262651443481,
-0.12607407569885254,
-0.7432913780212402,
-0.15690405666828156,
0.8347049951553345,
0.31596776843070984,
0.16974081099033356,
0.10435976833105087,
-0.18358010053634644,
0.21254825592041016,
-0.06816706061... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | False
| 3 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
1.0320484638214111,
-0.11112476885318756,
-0.6032994985580444,
0.10160069912672043,
0.3437787592411041,
-0.40163999795913696,
0.7337332963943481,
0.6733618974685669,
-0.07928557693958282,
0.10528643429279327,
-0.009416960179805756,
0.27964282035827637,
-0.9641281366348267,
0.01604073867201... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
One example is below.
Q: Which writer rode Devon Loch in the 1956 Grand National?
A: dick francis
Rationale: The answer is precise and accurately answers the question b... | james boswell | 9 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
-0.09278278797864914,
0.19724008440971375,
0.11423943936824799,
-0.5013424158096313,
-0.3546140789985657,
-0.600592851638794,
1.3272676467895508,
-0.6735218167304993,
0.5158447027206421,
-0.5157246589660645,
-0.44378915429115295,
0.7259042263031006,
-0.4817078709602356,
0.12699291110038757... |
Definition: This task is to translate the English language Input to Telugu Language Output
Input: among the bustle of life,
Output: | వాయువేగంతో ఓవర్లాకింగ్, | 2 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
0.3545166850090027,
0.7001457214355469,
0.1770620197057724,
0.2505870461463928,
0.2726232409477234,
-0.8042291402816772,
-0.13039317727088928,
0.0625024065375328,
-0.150018110871315,
-0.13418753445148468,
-0.30349522829055786,
0.13344302773475647,
-0.3949369490146637,
0.327007532119751,
... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Example input: Title: Marcus Buys Khakis. Sentence 1: Marc... | He vowed to get in better shape and try again. | 3 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.5537289381027222,
0.7305310964584351,
0.3304535150527954,
-0.2915167808532715,
-0.10712137073278427,
0.20225447416305542,
0.0980280339717865,
0.5608184337615967,
0.36530372500419617,
0.18107053637504578,
-0.8258306980133057,
0.023865051567554474,
-0.34166422486305237,
0.1039698123931884... |
In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
One example is below.
Q: They both let out relieved breaths at the doctor's words.
A: Plural
Rationale: ... | Singular | 9 | NIv2 | task431_senteval_object_count | fs_opt | [
-1.3042218685150146,
0.6767247319221497,
-0.3222111761569977,
-0.6010726094245911,
-0.3892768323421478,
-0.3839123249053955,
1.1416378021240234,
-0.13496974110603333,
0.42661505937576294,
-0.7718027830123901,
-0.612939715385437,
0.3332315683364868,
-0.6785028576850891,
-0.01445561926811933... |
Given the task definition, example input & output, solve the new input case.
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: I have bought several of the Vitality canned dog food products and have foun... | Positive | 1 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
-0.38174861669540405,
-0.36727118492126465,
-0.44599002599716187,
0.5299153923988342,
0.30619382858276367,
-0.41589513421058655,
0.5997192859649658,
1.0315755605697632,
0.4036775529384613,
-0.059398867189884186,
0.20499220490455627,
-0.005726414732635021,
-0.4007149934768677,
-0.6207520961... |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: Originals drive creativity and change in the world.
Student: | Os orixinais impulsan a creatividade e o cambio no mundo. | 6 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-1.0198180675506592,
0.5865316390991211,
0.644497811794281,
-0.39794570207595825,
-0.4030461311340332,
-1.8716365098953247,
-0.4783324599266052,
0.09093386679887772,
-0.5007082223892212,
-0.3872046172618866,
-0.04194320738315582,
-0.06714767217636108,
-0.6683177351951599,
-0.71420055627822... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
--------
Question: On March 14, this year, I posted this poster on Facebook.
Answer: Il 14 marzo di quest'anno ho pubblicato questo manifesto su Facebook.
Question: The decision was to protect the marshes.
Answer: La de... | C'è stato un gran abbassamento del prezzo del caffè.
| 7 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.02152104303240776,
0.1372632086277008,
-0.35381248593330383,
0.05387797951698303,
-0.9120051860809326,
-1.1215171813964844,
0.44472700357437134,
1.398512363433838,
-0.18177945911884308,
0.3009357452392578,
0.0820864737033844,
0.2577914297580719,
0.26507502794265747,
0.13248570263385773,... |
Definition: In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Input: [3, 4, 6, 4, 3]
Output: | [6] | 2 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.23289093375205994,
0.5741007328033447,
-0.4869794249534607,
-0.5411454439163208,
0.1486610770225525,
0.09561348706483841,
1.120711088180542,
-0.2778145670890808,
-0.4248054623603821,
0.003939400892704725,
-1.176987648010254,
-0.02659962698817253,
0.20130154490470886,
-0.6434699296951294... |
Teacher: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', o... | 1 | 6 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
-0.32959145307540894,
0.008512587286531925,
-0.079048290848732,
0.1351250261068344,
0.11496484279632568,
-0.7198200821876526,
0.6185882091522217,
0.6658855676651001,
0.1437804102897644,
0.05767185986042023,
-0.35247117280960083,
-0.4466943144798279,
-0.5004621744155884,
-0.49006187915802,
... |
instruction:
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
question:
What year was the constructor established upon separation whose driver finished a close second to Ayrton Senna in 1983 British Formula Thre... | Alejandro Moreno
| 9 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
0.13125991821289062,
0.1379118263721466,
0.46776315569877625,
-0.6694798469543457,
-0.24255681037902832,
-0.7089039087295532,
-0.22668687999248505,
0.37611615657806396,
0.20253953337669373,
-0.21357303857803345,
0.40306174755096436,
0.9987868666648865,
0.05443341284990311,
-0.1841717511415... |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
आज के युग में acebookयूजर, twitter यूजर और इंस्टाग्राम के यूजर विचार-विमर्श को नया रूप दे रहे हैं। | ഇന്നത്തെ ചര്ച്ചകള്ക്ക് രൂപം നല്കുന്നത് ഫെയ്സ്ബുക്കുകാര്, ട്വിപ്പീള്സ്, ഇന്സ്റ്റാഗ്രാമര്മാര് എന്നിവരാണ്. | 0 | NIv2 | task1017_pib_translation_hindi_malayalam | zs_opt | [
0.15519118309020996,
0.12900783121585846,
0.3272271752357483,
0.14827096462249756,
0.1358601450920105,
-1.1530406475067139,
0.2588169574737549,
0.16064459085464478,
0.12444274872541428,
-0.3630914092063904,
-0.7155179977416992,
-0.6906176209449768,
-0.666049063205719,
-0.12885592877864838,... |
You are given a statement written in Telugu. 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 .
Example Input: Statement: లేళ్ళపల్లి ప్రకాశం జిల్లా, త్రిపురాంతకం మండలం లోని గ్రామం. ఇది మండల కేంద్రమైన త్రిపురాంత... | దేవాలయాలు
| 3 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
1.0958549976348877,
0.5642260313034058,
0.10883153975009918,
0.01894216239452362,
0.3050896227359772,
-1.2920258045196533,
0.7765191793441772,
1.3276543617248535,
-0.9168436527252197,
-0.18729771673679352,
-0.07725338637828827,
0.7557026147842407,
-0.1116529107093811,
0.030355004593729973,... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Let me give you an example: In the southwestern part of Nigeria, the plant is known as Gbe'borun.
The answer to this example can be: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe 'borun شناخته می شود.
Here is why: The Engli... | و با این وجود ، این روش های سریع تر ، ارزان تر و بهتر را نمی توان در مقیاس بین المللی به کار برد. به دلیل ترس از پول شویی با وجود اینکه اطلاعات کمی وجود دارد تا هرگونه ارتباط روشنی بین پول شویی و این نقل و انتقال های کوچک مالی را پشتیبانی کند. | 8 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.3682035207748413,
0.5532607436180115,
0.08522862195968628,
0.06709393858909607,
-0.06489002704620361,
-0.43290406465530396,
1.1676273345947266,
0.5288535356521606,
-0.30916136503219604,
0.5466600060462952,
-1.0013542175292969,
0.1335783302783966,
-1.1894431114196777,
0.4136941432952881,... |
Q: 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 det... | No | 7 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.32163307070732117,
0.44861289858818054,
0.6329820156097412,
-0.09407976269721985,
-0.597630500793457,
-0.8353558778762817,
1.235282063484192,
0.38967788219451904,
-0.6230010390281677,
-0.3482714891433716,
-0.4527904689311981,
-0.40794625878334045,
-0.6990383863449097,
0.41577044129371643... |
Detailed Instructions: A question is presented to you in this task, and your job is to write a potentially correct answer.
Problem:who played juni in spy kids 4?
Solution: | Daryl Sabara | 8 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
-0.08871075510978699,
1.6533699035644531,
-0.9899230599403381,
-0.14422747492790222,
-1.0110076665878296,
0.45007190108299255,
0.06939713656902313,
0.20034483075141907,
0.8227479457855225,
0.17156627774238586,
0.38787055015563965,
0.3474457859992981,
-0.2763212323188782,
-0.152261674404144... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'fir... | [{'first': -50, 'second': -88}, {'first': -7, 'second': -63}, {'first': 71, 'second': -90}] | 1 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.24370673298835754,
0.23464861512184143,
-0.26179075241088867,
-0.029269251972436905,
0.5673778057098389,
0.21676449477672577,
0.46431323885917664,
0.4203100800514221,
0.42123928666114807,
-0.048780061304569244,
-0.4101339280605316,
-0.7736347913742065,
-0.6144038438796997,
-0.1192224621... |
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