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 |
|---|---|---|---|---|---|---|
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: [4, 7, 2,... | [4, 7, 2, 5, 6] | 6 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.29444265365600586,
0.7168822288513184,
0.06340965628623962,
-0.6610710024833679,
0.0058245244435966015,
-0.5837624073028564,
0.9105594754219055,
0.2910454273223877,
-0.19764569401741028,
-0.03249763697385788,
-0.22259119153022766,
-0.5883641242980957,
-0.07503559440374374,
-0.0289220195... |
Detailed Instructions: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
See one example below:
Problem: what kind of film is Best Seller?
Solution: crime
Explanation: The answer is correct ... | The Green Slime, Chase a Crooked Shadow | 4 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.35351356863975525,
0.21212217211723328,
-0.6647458076477051,
0.36459875106811523,
-0.07538573443889618,
0.1940087527036667,
-0.040473759174346924,
0.155231773853302,
0.5453298687934875,
-0.07020747661590576,
-0.29607629776000977,
-0.11665445566177368,
-0.5775433778762817,
0.094986706972... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
I have lots and lots of electronic devices but this, without question, is totally the BEST I've ever purchased. I use it every day for everything from e-mail access to listening to music, enjoying a yoga workout, watching movies, ... | Positive Review | 0 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
-0.21024161577224731,
0.1979864537715912,
-0.556167483329773,
-0.654606282711029,
0.015655484050512314,
-0.5350193977355957,
0.910262405872345,
0.5181804895401001,
0.10748980939388275,
-0.017419110983610153,
0.44977855682373047,
-0.1363975554704666,
-0.7767322063446045,
-0.3271892964839935... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
See one example below:
Problem: (Śmiech) Opublikował wiele filmów o przyrodzie.
Solution: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Explanation: The Polish sentence is correctly ... | Ma non è sufficiente. | 4 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-0.8651182651519775,
0.7721593379974365,
-0.048344895243644714,
-0.02168886922299862,
-0.6892120838165283,
0.1753692328929901,
0.5435006618499756,
0.11302860081195831,
-0.6626755595207214,
-0.7300673723220825,
-0.712893009185791,
0.24224905669689178,
-0.7725421786308289,
0.7210562229156494... |
TASK DEFINITION: In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
PROBLEM: چوب، از نظر گیاهشناسی، بخش جامد و سخت زیر پوست ساقه درخ... | False
| 8 | NIv2 | task396_persianqa_classification | fs_opt | [
0.9929865598678589,
0.5321401953697205,
-0.5716886520385742,
0.10456884652376175,
0.1670486032962799,
-0.8976688385009766,
0.42556536197662354,
0.9179894924163818,
-0.2521689236164093,
0.07546382397413254,
-0.36697760224342346,
0.20084576308727264,
-0.8576459884643555,
0.28669580817222595,... |
Given the task definition and input, reply with output. 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, b... | European Union | 5 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
0.4996887743473053,
0.5944305658340454,
-0.03519018739461899,
0.4685637354850769,
0.45297369360923767,
-0.2221108227968216,
0.6233993768692017,
0.3601027727127075,
-0.07601195573806763,
0.8304164409637451,
0.40599513053894043,
0.4042658805847168,
-0.628358006477356,
0.3716280460357666,
0... |
Teacher:Generate a correct and concise answer for the question based on the words in the context.
Teacher: Now, understand the problem? Solve this instance: Context : Griffinia nocturna is a bulbous species of flowering plant which is endemic to Brazil.
Question : Is the taxon rank of Griffinia nocturna species or gen... | species | 6 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
-0.5039525032043457,
0.1658255159854889,
0.25712257623672485,
-0.3926428258419037,
-0.8392910957336426,
-0.8120311498641968,
0.07703176140785217,
0.5558549165725708,
-0.26265257596969604,
-0.1813504546880722,
-1.2109118700027466,
0.42567914724349976,
-1.2448488473892212,
0.1680420339107513... |
In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. The correct answer w... | a casa
| 7 | NIv2 | task837_viquiquad_answer_generation | fs_opt | [
1.0199284553527832,
0.7944008111953735,
-0.5442625284194946,
0.3927982747554779,
0.05069352313876152,
-0.5583864450454712,
1.0026748180389404,
1.118812084197998,
-0.21158325672149658,
0.12179633975028992,
-0.157480850815773,
0.6179651618003845,
-0.2446100264787674,
0.6057100296020508,
-0... |
Instructions: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Input: Paragraph: Transforming growth fac... | True | 3 | NIv2 | task1162_coda19_title_classification | zs_opt | [
0.20476725697517395,
0.27861636877059937,
-0.645940363407135,
-0.025610722601413727,
0.5717989206314087,
-0.591583251953125,
-0.12425118684768677,
0.465079665184021,
0.24105021357536316,
0.44789108633995056,
-0.9190571308135986,
0.08053557574748993,
-0.9135364294052124,
-0.0339741781353950... |
Teacher:In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Teacher: Now, understand the problem? Solve this instance: " So bea... | Present | 6 | NIv2 | task429_senteval_tense | zs_opt | [
-0.8028144836425781,
0.529590368270874,
0.6964871883392334,
-0.07463555037975311,
-0.025475241243839264,
-0.17892980575561523,
0.22498561441898346,
1.145094394683838,
0.09633422642946243,
0.04167311638593674,
-0.3170301616191864,
-0.27065467834472656,
-0.3138560652732849,
-0.57095479965209... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Example: ['238', 'h', '92', 'U', '2799']
Output: 238, 92, 2799
Here, the numbers in the... | 6523, 4915, 3657, 3087, 4885, 7773, 7373, 6801, 8839, 539 | 1 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.22016438841819763,
0.5609627962112427,
-0.7746797800064087,
-0.26835599541664124,
0.1809575855731964,
0.15043692290782928,
0.02475912868976593,
0.19243650138378143,
-0.1956981122493744,
0.52564537525177,
-0.16050982475280762,
-0.36983412504196167,
0.5957483053207397,
-0.1613152623176574... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
[EX Q]: 7, ['1795', '8461', 'F', 'I', '4713', 'f', '5001', 'V', 'q', '47', 'E', 'J', 'r', 'E', '7355'... | 4403, z, 4125, 6689, 8929
| 6 | NIv2 | task063_first_i_elements | fs_opt | [
-0.15747234225273132,
0.6831620931625366,
-0.5179766416549683,
-0.2932070195674896,
-0.37112510204315186,
0.029482165351510048,
0.6860376596450806,
0.4888037443161011,
-0.06544479727745056,
-0.22797420620918274,
-0.8793864250183105,
-0.046796560287475586,
-0.26941606402397156,
-0.038785282... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Input: Zachęcające, prawda?
Output: | Alentador, a que si? | 3 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-1.0274569988250732,
0.8616189956665039,
0.07151433825492859,
-0.9225178956985474,
-0.5040941834449768,
-1.278642177581787,
0.7423027753829956,
-0.8901451826095581,
-0.2039608657360077,
-0.17052051424980164,
-0.8889359831809998,
-0.11950953304767609,
-0.42786386609077454,
-0.20698714256286... |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
See one example below:
Problem: 3, ['a', '34', 'f', '931', '7', '3432', '13245'... | x | 4 | NIv2 | task063_first_i_elements | fs_opt | [
0.03068290650844574,
0.027153607457876205,
-0.4340493977069855,
-0.5553827881813049,
-0.05022845417261124,
0.0515003576874733,
0.6610904932022095,
0.41864776611328125,
0.016619835048913956,
-0.14592862129211426,
-1.0678958892822266,
-0.11059199273586273,
-0.02456287294626236,
-0.3996961116... |
Instructions: Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a di... | Oh, no he doesn't. I might have to eat this guy. | 3 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.32783791422843933,
0.7768039107322693,
0.36436888575553894,
0.07293432950973511,
0.11175170540809631,
-1.0286438465118408,
0.3249819576740265,
0.4996725916862488,
-0.31564438343048096,
-0.6184265613555908,
-0.6673778295516968,
-0.22266629338264465,
-0.8741722106933594,
0.5123380422592163... |
TASK DEFINITION: In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
PROBLEM: SECTION 1. SHORT TITLE.
This Act may be cited as the ``Health Equity and Access under the
Law for Immigrant Women and Families Act of 2014'' or as the ``HEA... | National Monument Designation Transparency Act Requires land reserved as part of a national monument to be confined to the smallest area essential to ensure the proper care and management of the objects of historic or scientific interest protected by the monument. Sets forth additional procedures for the designation ... | 8 | NIv2 | task1658_billsum_summarization | fs_opt | [
0.6446950435638428,
0.45814505219459534,
-0.18370306491851807,
-0.013575160875916481,
0.9398798942565918,
0.11689244210720062,
1.3727056980133057,
1.0053465366363525,
-0.1412063091993332,
0.5110700726509094,
-0.2526569068431854,
0.679945707321167,
-0.37115737795829773,
0.058219704777002335... |
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
[-60, -8, 21, 62]... | 73
| 0 | NIv2 | task1446_farthest_integers | fs_opt | [
0.17304247617721558,
0.2649822235107422,
0.22714164853096008,
-0.28879305720329285,
-0.27616190910339355,
0.08844567835330963,
0.5919545888900757,
0.38102903962135315,
0.39335060119628906,
-0.4758607745170593,
-0.3619316816329956,
-0.27283793687820435,
-0.7004209756851196,
-0.1504966765642... |
You will be given a definition of a task first, then some input of the task.
Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of ... | I can see it. I can see 30 cute mismatched chairs and someone knitted covers for them by hand. | 1 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.6351732611656189,
0.7681649327278137,
0.4474216103553772,
-0.06642770767211914,
0.39857086539268494,
-0.700566291809082,
0.21884505450725555,
0.8229215145111084,
-0.11455408483743668,
-0.4812638461589813,
-0.6987468004226685,
-0.1633199155330658,
-0.6876629590988159,
0.3109060525894165,
... |
In this task, you're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly different fro... | No | 4 | NIv2 | task630_dbpedia_14_classification | zs_opt | [
-0.8154243230819702,
-0.0021491548977792263,
0.0926719382405281,
-0.46378350257873535,
-0.02259395644068718,
-0.42949777841567993,
0.5710253715515137,
0.5874422788619995,
0.08539792150259018,
-0.2150787115097046,
0.1487078219652176,
0.298611044883728,
0.12068795412778854,
-0.19962245225906... |
Q: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: "This was a foreseeable consequence of ignoring safety measures," one at... | Yes | 7 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.19210407137870789,
0.4071168899536133,
0.6580857634544373,
-0.25584253668785095,
0.007555406540632248,
-1.030294418334961,
0.5697436332702637,
0.7667052745819092,
-0.1819242537021637,
-0.5065094232559204,
0.18672320246696472,
0.5954263806343079,
-1.1326864957809448,
-0.02239077724516391... |
Instructions: 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.
Input: इसलिए ऐसे समय में जब देश में गरीबी कम होने की रफ्तार बढ़ी है, योग उन लोगों के लिए भी एक बड़ा माध्यम है जो गरीबी से बाहर निकल रहे हैं।
... | সেজন্য আজ যখন দেশে দারিদ্র্য দূরীকরণে অভিযান দ্রুত গতিতে এগিয়ে চলেছে, তখন যোগ এই দারিদ্র্য দূরীকরণের একটি মাধ্যম হয়ে উঠেছে। | 3 | NIv2 | task1010_pib_translation_hindi_bengali | zs_opt | [
-0.3821784257888794,
0.6046046018600464,
-0.25285452604293823,
0.2159428894519806,
-0.520587682723999,
-0.38249415159225464,
0.21127274632453918,
0.797471821308136,
-0.5396138429641724,
-0.5138206481933594,
-1.2013187408447266,
-0.23502424359321594,
-0.6414467096328735,
0.05276113376021385... |
Detailed Instructions: In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
See one example below:
Problem: Hello! I would love to learn about Antigua and Barbuda today.
Antigua and Barbuda is an island nation in the Caribbean Sea. The country is part of the... | Tiruchirappalli | 4 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
1.0461066961288452,
-0.32575446367263794,
-0.22538399696350098,
-0.3845899701118469,
0.5497938394546509,
-0.8123154044151306,
0.41761302947998047,
0.7387758493423462,
-1.0793540477752686,
0.33978384733200073,
0.09956611692905426,
0.035539962351322174,
-0.37096142768859863,
0.53234040737152... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Q: Advanced Manufacturing Fellowship Act of 1998 - Amends the Higher Education Act of 1965 to direct the ... | A bill to amend title XXI of the Social Security Act to allow qualifying States to use all or any portion of their allotments under the State Children's Health Insurance Program for certain Medicaid expenditures.
****
| 4 | NIv2 | task1659_title_generation | fs_opt | [
0.5888963341712952,
0.04519329220056534,
-0.2905481457710266,
0.0693468302488327,
0.2824631631374359,
-0.13943040370941162,
0.7254360914230347,
0.8222373723983765,
-0.841006338596344,
0.5844954252243042,
-0.11474335938692093,
0.3690814971923828,
-0.31958746910095215,
0.09709891676902771,
... |
Detailed Instructions: 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.
Q: This is one of the worse tasting soups I've ever eaten. I hated it, and now I have a full case. It tastes bitter to me, and my husband ... | Negative | 9 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.5631933212280273,
-0.23415321111679077,
0.38504862785339355,
-0.2759614586830139,
0.5861412286758423,
-0.36842697858810425,
0.6997820734977722,
0.24112209677696228,
0.09932105243206024,
0.46741363406181335,
-0.12003740668296814,
0.29385727643966675,
-0.8522060513496399,
-0.1409422606229... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Example input: Paragraph: The severe acute respiratory... | True | 3 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.4767460227012634,
0.01166079007089138,
-0.2609705924987793,
0.25806570053100586,
0.40796831250190735,
0.1621542125940323,
0.6371871829032898,
0.9505934715270996,
-0.19763672351837158,
0.7810436487197876,
-0.19374865293502808,
0.981448769569397,
0.060582615435123444,
0.1585393249988556,
... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
[EX Q]: Personality: I l... | Oh I'm sorry well mine are very friendly.
| 6 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.10981601476669312,
0.09152133017778397,
-0.96405029296875,
-0.13590693473815918,
-0.009477119892835617,
-0.2951686382293701,
0.9794785976409912,
0.15419632196426392,
-0.26636797189712524,
-0.32565176486968994,
0.309457004070282,
0.4389314651489258,
-0.4484085440635681,
0.344668537378311... |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
[Q]: I see where Farrah gets her rudeness from. Her mother was as horrible to Dr Drew tonight as she was. These women need help #TeenMomOG
[A]: Angr... | Angry
| 5 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | fs_opt | [
-1.0754961967468262,
-0.11038656532764435,
1.0823469161987305,
-0.6992008090019226,
-0.498993456363678,
-0.9860130548477173,
0.653894305229187,
0.6100972890853882,
0.6068911552429199,
0.4215622544288635,
0.07243423163890839,
-0.29178178310394287,
-0.8142654299736023,
-0.7178323268890381,
... |
Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
One example: excavator, crane, pelican, hoist, upraise
Solution is here: pelican
Explanation: The common category here are words related to construction. A pel... | flow | 6 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
-0.2535562515258789,
0.24993330240249634,
-0.31758779287338257,
-0.16166970133781433,
0.002468513324856758,
0.08218894898891449,
0.4591342806816101,
0.5328421592712402,
0.06593933701515198,
-0.2903580963611603,
-0.9526448249816895,
0.06132639944553375,
-0.6507893800735474,
0.37568575143814... |
You will be given a definition of a task first, then some input of the task.
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 a... | 1 | 1 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.2923769950866699,
1.1955690383911133,
0.02941901423037052,
-0.5124424695968628,
0.039999715983867645,
-0.2694777846336365,
1.259488821029663,
-0.2681397795677185,
0.20095494389533997,
-0.6535543203353882,
0.2657783627510071,
0.026431284844875336,
-0.8880748152732849,
-0.34939706325531006... |
Teacher:Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
Teacher: Now, understand the problem? Solve this instance: fit
Student: | grit | 6 | NIv2 | task183_rhyme_generation | zs_opt | [
0.4672695994377136,
1.2683627605438232,
0.16207057237625122,
-0.00812908448278904,
-0.44296568632125854,
-0.17893026769161224,
0.10101956129074097,
0.08748657256364822,
0.2058658003807068,
-0.22009912133216858,
-0.13221853971481323,
-0.48714378476142883,
-0.6287710666656494,
-0.37264508008... |
Detailed Instructions: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Problem:[7277, 3859, 'f', 4861, 1223, 1093, 999, 7101, 'D', 1017, 8847, 1479, 689, 'G', '1947', '721', 'p', '2141', '4689', 'a', '7125', '8003', '3725', 'N', '4737', 'G', '257', 'c', 'm', '6667', ... | 1947, 721, p, 2141, 4689, a, 7125, 8003, 3725, N, 4737, G, 257, c, m, 6667, u, o, G, B, 8747, l, Z, 6945, 3355, n, G, 1089, 3491, 5153 | 8 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.053256455808877945,
0.04083916172385216,
-0.1892930120229721,
-0.2849038243293762,
-0.1715596318244934,
-0.1455269157886505,
0.32979699969291687,
0.7889231443405151,
-0.34878361225128174,
0.1324530839920044,
-0.8521245718002319,
0.18847128748893738,
-0.3323073983192444,
0.21157279610633... |
In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
i cant find it and yet i feel that i am longing for something | love | 0 | NIv2 | task875_emotion_classification | zs_opt | [
0.0021900413557887077,
0.15295058488845825,
0.4824058413505554,
0.03590250760316849,
-0.24373726546764374,
-0.599628210067749,
0.21396809816360474,
0.392687052488327,
-0.5342779159545898,
-1.2252798080444336,
-0.2794521450996399,
-0.4617955684661865,
-1.2610468864440918,
-0.103522196412086... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
--------
Question: Bo pomimo tego, co się do tej pory działo ze spinternetem i autorytarną dyskusją, istnieje obawa, że oni przejdą niezauważeni.
Answer: چون آنچه که تا الان رخ داده با این « چرخش نت » و تاملات اقتدارگرایانه ... | چون که ، می دونید ، وقتی به یک قطعه موسیقی نگان می کنید - مثلاً ، اگه من این کیف کوچکم را باز کنم - خوشبختانه اینجا... قطعه ای موسیقی داریم که روی صفحه پر از نقطه های کوچک سیاه است.
| 7 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.6809075474739075,
0.8472744226455688,
-0.4753744602203369,
-0.24969950318336487,
-0.5650206804275513,
0.2635434865951538,
1.34641695022583,
0.5772661566734314,
0.36362409591674805,
0.09041067957878113,
-0.1497229039669037,
0.8207459449768066,
-0.9753544330596924,
0.05521991848945618,
... |
instruction:
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
question:
Look for her during the day on NBC.
Megyn Kelly’s decision to jump from Fox News to NBC resolves one of the last unanswered questions of the Roger Ailes scandal: Would... | A piece of NBA history has died with Ossie Schectman, the man who scored the first basket in the league's first game. Schectman, a New York Knick, scored against the Toronto Huskies on November 1, 1946, at Toronto's Maple Leaf Gardens. "I scored on a two-handed underhand layup, which was the standard chippy shot back t... | 9 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.4426366686820984,
-0.0755157321691513,
-0.13063782453536987,
0.21212412416934967,
0.5929317474365234,
0.046004652976989746,
0.18998900055885315,
1.1405342817306519,
0.28173160552978516,
-0.09337624907493591,
0.2061389684677124,
0.13618135452270508,
-0.1955796778202057,
0.2084566801786422... |
Given the task definition and input, reply with output. Given a sentence in French, generate a new French 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 plausi... | Vous pouvez avoir besoin d'un timbre ou d'un permis pour creuser une scie. | 5 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.7759219408035278,
0.8283534049987793,
0.5411920547485352,
-0.2802318036556244,
0.2996431589126587,
-0.26445472240448,
0.5605565905570984,
0.6470099687576294,
0.09616218507289886,
-0.15224455296993256,
-1.3938424587249756,
-0.18603667616844177,
-0.18285292387008667,
0.19662925601005554,
... |
Detailed Instructions: 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 t... | 2a, 1c | 8 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.4610358476638794,
0.21041807532310486,
-0.15569476783275604,
-0.18209224939346313,
-0.032001376152038574,
0.32718127965927124,
0.028146078810095787,
1.2413384914398193,
-0.3121545612812042,
0.7105505466461182,
-0.07818727940320969,
0.08665340393781662,
-0.004644565749913454,
-0.66347891... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
One example: Egypt (similar results in Jordan)
Solution is here: مصر (با نتایجی مشابه در اردن)
Explanation: This is a good example. The above sentence is correctly translated from English to Persian.
Now, solve this: Some... | تعدادی از شهروندهای اینترنتی شاهد پرچمهای علم شده در بیرون مدرسهٔ خانم لم وایسز بودند که درخواست به اخراج وی میکردند. | 6 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.8133324384689331,
0.5055747032165527,
0.19551503658294678,
-1.2315871715545654,
-0.5334852933883667,
-0.11327514052391052,
0.6876938939094543,
0.45058926939964294,
-0.08532530069351196,
0.1754419207572937,
-0.16769056022167206,
1.105805516242981,
-0.9780814051628113,
-0.0155386254191398... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Teacher: Now, understand the problem? Solve this instance: En el proceso de convertirse en una supernova, el interior de la estrella se colapsa bajo su propio peso y comienza a girar cada vez más rápido, al igual qu... | In the process of becoming a supernova, the interior of the star collapses under its own weight and it starts rotating ever faster, like an ice skater when pulling their arms in close to their body. | 6 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.4303988218307495,
0.7794920206069946,
-0.29023200273513794,
-0.45675939321517944,
-0.2421584129333496,
0.029170561581850052,
-0.6180254220962524,
1.3766968250274658,
-0.04047654569149017,
-0.38648825883865356,
0.47278884053230286,
-0.08537545800209045,
-0.6870337724685669,
-0.5019619464... |
Teacher:In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the cor... | False | 6 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.1719849407672882,
0.4058406949043274,
0.06517557799816132,
-0.754266619682312,
-0.3029143810272217,
-1.3328548669815063,
0.9097290635108948,
0.43582093715667725,
0.12534388899803162,
-0.31817394495010376,
-0.10683807730674744,
0.15174922347068787,
-0.440438836812973,
-0.1512460112571716... |
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Q: If it were any more of a turkey , it would gobble in Dolby Digital stereo .
A: | NEG | 4 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.7334195971488953,
-0.09153153747320175,
0.3226887285709381,
0.15356846153736115,
0.1907772570848465,
0.35341721773147583,
0.5100475549697876,
0.06836371123790741,
0.10770703852176666,
0.7207676768302917,
0.12899905443191528,
-0.6844103932380676,
0.16384178400039673,
0.01896965317428112,... |
Detailed Instructions: This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The... | [['05.00', 'TUESDAY', 'TV Shop - infomercials'], ['05.00', 'MONDAY', 'TV Shop - infomercials'], ['05.00', 'WEDNESDAY', 'TV Shop - infomercials'], ['05.00', 'THURSDAY', 'TV Shop - infomercials'], ['05.00', 'FRIDAY', 'TV Shop - infomercials']] | 4 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
-0.1645292043685913,
0.12405464798212051,
-0.9328668117523193,
-0.26998335123062134,
-0.8265230655670166,
-0.0395377054810524,
0.4877534508705139,
0.40836837887763977,
0.4849502444267273,
-0.3085416555404663,
-0.4665870666503906,
-0.05169583112001419,
-0.0827254056930542,
0.655466675758361... |
This task is to translate a news commentary given in French language into Russian language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
One example: L’or à 10.000 dollars l’once\xa0?
Solution is he... | Финансирование следующего этапа реализации целей развития | 6 | NIv2 | task1377_newscomm_translation | fs_opt | [
-0.3692898154258728,
0.7157083749771118,
-0.337582528591156,
0.022954510524868965,
-0.18986506760120392,
0.3551969826221466,
0.37290164828300476,
1.2342668771743774,
0.25626105070114136,
-0.6878529787063599,
-0.8278167247772217,
-0.4191047251224518,
-0.39840734004974365,
-0.078878678381443... |
In this task, you are given books product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
--------
Question: Derrière les apparences . Comme elle le dit elle-même, Renée, 54 ans, es... | NEG
| 7 | NIv2 | task482_cls_french_books_classification | fs_opt | [
0.29321229457855225,
0.280662477016449,
-0.20729173719882965,
-0.4766067862510681,
0.7839387655258179,
0.3103501796722412,
1.6539218425750732,
0.5552247166633606,
0.44462770223617554,
0.4662720561027527,
-0.16251246631145477,
0.48774561285972595,
-0.9205142855644226,
0.29807716608047485,
... |
Detailed Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Problem:Article: an indonesian businessman has been arrested and faces five years in jail over a stampede th... | no | 8 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.11845433712005615,
0.20193535089492798,
0.21676616370677948,
0.36112552881240845,
-0.0037995039019733667,
-0.6988233923912048,
0.029123786836862564,
0.7905688285827637,
0.0825025886297226,
0.6099601984024048,
-0.38020217418670654,
0.2558453679084778,
-0.5761906504631042,
0.3909052610397... |
Detailed Instructions: In this task, you will be given two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect relationship, answer with "plausible", otherwise answer with "not plausible".
Q: the man craved a... | plausible | 9 | NIv2 | task392_inverse_causal_relationship | zs_opt | [
-0.6923693418502808,
0.8741686940193176,
0.8718585968017578,
-1.369504451751709,
-0.5870632529258728,
-0.19202706217765808,
0.5990394353866577,
0.8350623250007629,
0.14853714406490326,
-0.0958377793431282,
-0.6818627119064331,
-0.26694852113723755,
-0.5888782739639282,
-0.4305114150047302,... |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Ex Input:
['363', 'w', '151', 'd']
Ex Output:
1, 3, 5, 6
Ex Input:
['q', 'u', '199', 'v', '249']
Ex Output:
1, 2, 4, 9
Ex Input:
['487', 'l'... | 1, 2, 3, 4, 5, 6, 7, 8, 9
| 1 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | fs_opt | [
-0.03949762508273125,
0.033822014927864075,
-0.5440950393676758,
-0.9262076020240784,
-0.4357374310493469,
0.883979856967926,
0.856526792049408,
-0.13642734289169312,
-0.661331295967102,
0.351581871509552,
-0.6128883957862854,
0.19901511073112488,
-0.40782561898231506,
-0.07208478450775146... |
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 sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is... | Past | 0 | NIv2 | task429_senteval_tense | fs_opt | [
-0.5332648754119873,
0.9623449444770813,
0.19839715957641602,
-0.3449627161026001,
0.08207844197750092,
0.07613448798656464,
0.7896349430084229,
1.0507200956344604,
0.4045848548412323,
0.0846087858080864,
-0.4592404365539551,
0.15537023544311523,
-0.332965612411499,
0.03976663574576378,
... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | b
| 6 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
1.4182502031326294,
0.21649622917175293,
-0.7246631383895874,
-0.08070946484804153,
0.3433051109313965,
-0.774170994758606,
1.165095567703247,
0.7545236349105835,
0.216820627450943,
0.4333297908306122,
-0.2248242050409317,
0.30336278676986694,
-0.08845218271017075,
0.24382467567920685,
0... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Input: 正確に削る必要がある
Output: | Tienen que ser torneados con precisión. | 2 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.5648888349533081,
0.475543737411499,
-0.2716890275478363,
-0.017470374703407288,
-0.3586944341659546,
-0.1900438368320465,
0.25741589069366455,
-0.4063601493835449,
0.053857285529375076,
0.025381743907928467,
-0.6476459503173828,
-0.2141721248626709,
-0.5108934044837952,
0.3388065695762... |
You are given a statement written in Oriya. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
One example is below.
Q: Statement: 'ରକନୁଦ୍ଦୀନ'ଙ୍କ ଶାସନ ବହୁତ କମ ସମୟ ପାଇଁ ଥିଲା । ଇଲତୁତମିଶଙ୍କ ବିଧବା , ଶାହା ତୁର୍କାନଙ୍କ ... | ପୁରୀରେ | 9 | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | fs_opt | [
0.10238416492938995,
1.3611619472503662,
-0.14583954215049744,
0.14076021313667297,
-0.1348254531621933,
-0.15293163061141968,
0.26283955574035645,
1.1062474250793457,
0.01746233180165291,
0.2348894476890564,
-0.2119939774274826,
0.0558411069214344,
-0.5157952308654785,
-0.0288321804255247... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
[Q]: Não vai ser fácil.
[A]: 簡単には達成できないでしょう
[Q]: "'Tu e tua mãe deviam ser postos na cadeia.'" Eu nunca tive medo de dizer ao Aboody o que quer que fosse.
[A]: “お前たちは刑務所行きだ ” って息子にはそれまで何でも堂々と話して来ましたし
[Q]: Bem, n... | さて連続するフィボナッチ数を加えると次の数を得ることができますよね
| 5 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
0.24586711823940277,
0.385634183883667,
-0.27854159474372864,
-0.5267793536186218,
-0.3666120171546936,
-0.33421647548675537,
0.663487434387207,
0.4151190519332886,
0.2809330224990845,
-0.4454180598258972,
-0.6195091009140015,
0.018955428153276443,
-0.5153034925460815,
0.6767019629478455,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
One example is below.
Q: A Miña esperanza é que a beleza e propósito deste universo microscópico poida inspirar enfoques novos e creativos na investigación do cancro.
A: No final, espero que a beleza e propósito deste u... | Daqui a cerca de um ano teremos mais de meio milhão de amostras. | 9 | NIv2 | task1246_ted_translation_gl_pt | fs_opt | [
-0.7761424779891968,
0.9856113195419312,
0.36931535601615906,
-0.9349026679992676,
-0.04654912278056145,
-1.1728075742721558,
-0.9767231941223145,
0.6425584554672241,
-0.000014155404642224312,
0.40178436040878296,
-0.4087698459625244,
0.6338146924972534,
-0.2973223328590393,
0.514276623725... |
Detailed Instructions: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Problem:چرا ابن ملجم حضرت علی را به شهادت رساند؟ <sep> چرا حضرت علی دخترش را به عقد عمر ... | not-paraphrase | 8 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-1.11558198928833,
1.010353446006775,
-0.12021085619926453,
-0.10732325911521912,
-1.157771348953247,
-0.05350445210933685,
1.2291215658187866,
0.866549015045166,
0.4997880160808563,
-0.27023714780807495,
-0.03596735745668411,
0.34400734305381775,
-0.21411463618278503,
-0.04281500726938248... |
In this task, you are given an article. Your task is to summarize the article in a sentence.
Q: Writing in her blog, she said she wanted to join the party "just as a regular punter" because she wanted to see a "proper socialist Ireland".
However, in a Facebook post on Monday night, she also called for the Sinn Féin lea... | Irish singer Sinead O'Connor has applied to become a member of the political party, Sinn Féin. | 4 | NIv2 | task1290_xsum_summarization | zs_opt | [
0.06600303947925568,
0.9359220266342163,
-0.7262383103370667,
0.36814719438552856,
0.2890250086784363,
-0.48286187648773193,
0.3880698084831238,
0.866507887840271,
-0.186265230178833,
0.8475806713104248,
0.15150582790374756,
0.19281239807605743,
-0.5457780957221985,
-0.02607865072786808,
... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[64, 43, 48... | [64, 48, 84, 22, 70, 56] | 0 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.47506606578826904,
0.8235751390457153,
0.10215935111045837,
-0.8809651136398315,
-0.17634126543998718,
-0.1112363412976265,
1.035204291343689,
0.38101351261138916,
0.3141651749610901,
0.3012964427471161,
-0.8957024216651917,
-0.2710281014442444,
-0.0969424843788147,
-0.3174024224281311,... |
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
One example: Italia berhasil mengalahkan Portugal 31-5 di grup C dalam Piala Dunia Rugby 2007 di Parc des Princes, Paris, Peranc... | 研究者らは、アメリカジョージア州で「ビッグフット」ハンターを名乗り、その神秘的な生物の死体を発見したと今月主張していた2人の男性は、手の込んだいたずらに参加していたのだと言っている。 | 6 | NIv2 | task1116_alt_id_ja_translation | fs_opt | [
-0.5972541570663452,
0.8921757936477661,
-0.5747978687286377,
0.07573148608207703,
-0.5486162900924683,
-0.3537377417087555,
0.35007917881011963,
0.19255483150482178,
-0.10546702146530151,
-0.7489664554595947,
-0.8100443482398987,
1.0601260662078857,
-0.6516481637954712,
0.6054425239562988... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Powiedzmy, że ta linia przedstawia naukę. Widzieliśmy coś, rozumieliśmy i z czasem wprowadzaliśmy w życie.
| この線は学習を表しています今までの私たちはものを見て理解しその後じっくり実行してきました今までの私たちはものを見て理解しその後じっくり実行してきました | 5 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.3826577663421631,
0.31332796812057495,
0.30673205852508545,
-0.7545416355133057,
0.11435982584953308,
-0.6709693074226379,
-0.1061905175447464,
-0.09246625006198883,
0.47680217027664185,
-0.01621956378221512,
-0.25685063004493713,
0.511480987071991,
-0.4639572203159332,
0.21683508157730... |
Part 1. Definition
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is... | EVERYBODY | 7 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | fs_opt | [
0.3351513743400574,
0.16589057445526123,
0.03211861848831177,
0.3197348713874817,
0.25056248903274536,
-0.3514512777328491,
0.3279985189437866,
0.3606725335121155,
0.22991357743740082,
-0.0005281514022499323,
-0.4585677981376648,
0.32978397607803345,
-0.9743931293487549,
-0.219362407922744... |
Detailed Instructions: In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Problem:He got stuck in a pea... | first | 8 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.2773469388484955,
0.6344201564788818,
0.1564081907272339,
-0.35125991702079773,
-0.2721313536167145,
-0.15881580114364624,
0.3529725968837738,
0.5087554454803467,
0.2789924144744873,
-0.07537567615509033,
-1.0295324325561523,
-1.0969640016555786,
-0.12415236979722977,
-0.458427727222442... |
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Exa... | Solution: No. | 5 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.8325069546699524,
0.2978450655937195,
0.3730367124080658,
0.4979534447193146,
-0.5903422236442566,
-1.4337092638015747,
0.42866313457489014,
0.906775712966919,
0.2387782633304596,
-0.024013929069042206,
-0.42495012283325195,
-0.07888106256723404,
0.0867757722735405,
-0.07497869431972504... |
Part 1. Definition
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easi... | ISO-8859-5 encodes capital letter M as BC hexidecimally, and small letter m as 220 in decimals. | 7 | NIv2 | task1409_dart_text_generation | fs_opt | [
-0.39206594228744507,
0.2012363225221634,
-0.6936882734298706,
-0.3228945732116699,
-0.025012411177158356,
-0.029261045157909393,
0.5547325611114502,
0.7769373655319214,
-0.3417149484157562,
-0.14373871684074402,
-0.6033581495285034,
-0.22497445344924927,
-0.4120909869670868,
-0.3083069324... |
You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e... | elementary | 0 | NIv2 | task1712_poki_classification | zs_opt | [
-0.1472994089126587,
0.864173948764801,
0.5035122632980347,
-0.1912992000579834,
-0.2956317663192749,
-0.5835049152374268,
-0.025386393070220947,
0.613193929195404,
0.4303252100944519,
-0.8493679761886597,
-0.12073054909706116,
0.679306149482727,
-0.04649169370532036,
-0.14256545901298523,... |
Instructions: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Input: daikon
Output: | A daikon is what type of vegetable? | 3 | NIv2 | task897_freebase_qa_topic_question_generation | zs_opt | [
-0.02202681638300419,
0.1756322979927063,
-1.1843767166137695,
-0.15766283869743347,
-0.21406732499599457,
0.09040091186761856,
0.9370166659355164,
0.23597387969493866,
0.5395368337631226,
-0.32011330127716064,
-0.6757279634475708,
-0.6330597400665283,
-1.1620371341705322,
0.23052248358726... |
Q: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
:"Money in hand, I entered a tailor shop and sat down with the shop man... | 「お金を手に持って、私は仕立て屋に入り、インド出身の店主と腰を下ろして、新しいスーツの仕立てを注文しました」 | 7 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.259335458278656,
0.24122445285320282,
-0.18301397562026978,
-0.05405155569314957,
0.40301913022994995,
0.05719197541475296,
0.09464018046855927,
0.2557404637336731,
0.32986873388290405,
-0.20711752772331238,
0.36311301589012146,
-0.21314692497253418,
-0.6558493375778198,
-0.005499330349... |
In this task, you will be given two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect relationship, answer with "plausible", otherwise answer with "not plausible".
Q: the skydiver glided safely to the grou... | not plausible
****
| 4 | NIv2 | task392_inverse_causal_relationship | fs_opt | [
-0.558601975440979,
0.9963292479515076,
0.5259120464324951,
-0.5904927253723145,
-0.004726946819573641,
-0.6294347047805786,
0.2128739058971405,
0.42418622970581055,
0.5141220688819885,
-0.22323080897331238,
-0.7718512415885925,
0.14282731711864471,
-0.2755051851272583,
-0.1085950881242752... |
Teacher: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 y... | [-21, 0, 35, 0, -329, -166725, -517, 1215, 9945, -195, -49735, 171] | 6 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.2977178990840912,
0.017510831356048584,
-0.4695652723312378,
-0.4064961075782776,
-0.01716551184654236,
-0.10057328641414642,
1.0954145193099976,
0.45896586775779724,
-0.34616172313690186,
-0.03836359083652496,
-0.7232980132102966,
-0.5094219446182251,
-0.5499695539474487,
-0.6980779767... |
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct... | levo-dopa
| 0 | NIv2 | task1447_drug_extraction_ade | fs_opt | [
0.32932740449905396,
0.05052516609430313,
-0.1647924780845642,
-0.8806981444358826,
-0.22068166732788086,
-1.065213918685913,
1.1099355220794678,
0.5222779512405396,
0.9779168367385864,
-0.3292424976825714,
-1.1769051551818848,
0.34450849890708923,
-0.7391843795776367,
0.10793163627386093,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
[Q]: Ten płyn to właśnie jest ten czysty płyn.
[A]: ホイップクリームを泡立て過ぎると出てくる透き通った水分と同じ
[Q]: Zwróćcie uwagę na Azję.
[A]: 特にアジアを見て下さい
[Q]: Wiele agresywnych zachowań działo się w kuchni, więc gdy tam byłem, to była czwarta w... | 多くの攻撃的行為は台所で起きました。 4回目に尋ねた時、犬と4時間半、「伏せ」と「動くな」、を犬用マットの上でやりました。
| 5 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
-0.49950137734413147,
0.5696184635162354,
0.10850408673286438,
-0.2618725895881653,
-0.46817243099212646,
-0.6108940839767456,
0.5763514041900635,
-0.5132007598876953,
-0.12362025678157806,
-0.7074253559112549,
-0.12102019041776657,
0.30473852157592773,
-0.30940747261047363,
-0.04502188786... |
You will be given a definition of a task first, then some input of the task.
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 ma... | Non-sexual-explicit | 1 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-1.2038061618804932,
0.3629704415798187,
0.21489551663398743,
0.1412738859653473,
0.1488354206085205,
0.03844912350177765,
0.5181905031204224,
0.5258252024650574,
0.4241757392883301,
0.6438995599746704,
0.37580418586730957,
-0.08679245412349701,
0.2067015916109085,
-0.8070083260536194,
0... |
Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences fro... | I have a large garage >Causes/Enables> My wife parked her car in the garage | 3 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
-0.37957561016082764,
0.4312211871147156,
-0.08697215467691422,
0.09562458097934723,
-0.18622514605522156,
-0.825243353843689,
0.444064199924469,
1.0676605701446533,
0.5470801591873169,
-0.35330379009246826,
-0.7197306752204895,
0.32631784677505493,
-0.28529196977615356,
-0.150858327746391... |
Detailed Instructions: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link info... | How large is the park in Wanstead that is part of Epping Forest? | 9 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
-0.17934760451316833,
0.9052791595458984,
-0.3419049382209778,
-0.31287682056427,
-0.5713003277778625,
-0.875036358833313,
0.7172391414642334,
0.1401626616716385,
0.4994373619556427,
-0.36270835995674133,
-0.29238051176071167,
0.8026779294013977,
-0.5585286021232605,
0.38871991634368896,
... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduc... | Two people are running. | 8 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-0.5490601658821106,
1.178425669670105,
-0.27765321731567383,
-0.17054787278175354,
-0.09698770940303802,
0.12069928646087646,
0.243625208735466,
0.7600880861282349,
0.3425673842430115,
-0.9003591537475586,
-1.5528144836425781,
-0.39214032888412476,
-0.32723134756088257,
-0.174365043640136... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Q: Sentence: 'God Bless our New President and PLEASE GOD bless AMERICA .', Argument/Subject 1: 'god', Argument/Subject 2: 'america'
A: bless
****
Q: Se... | retain control of
****
| 4 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.694934606552124,
0.6032352447509766,
-0.17798073589801788,
-0.021224193274974823,
-0.7372217774391174,
-1.2382314205169678,
0.18268929421901703,
0.7590936422348022,
0.6003229022026062,
0.2020062506198883,
-0.25065404176712036,
-0.07335144281387329,
0.21508626639842987,
0.121117606759071... |
Q: 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', 'surp... | No emotion,No emotion,No emotion,No emotion,No emotion | 7 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.7598226070404053,
0.7221870422363281,
0.33781999349594116,
-0.8045601844787598,
-0.028613470494747162,
-0.21707448363304138,
0.9097456932067871,
-0.5401624441146851,
0.019385363906621933,
-0.6394999623298645,
-0.18453221023082733,
-0.46261727809906006,
-0.41425928473472595,
0.8534019589... |
In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cann... | B_neutral_A
| 3 | NIv2 | task1615_sick_tclassify_b_relation_a | fs_opt | [
-0.5552053451538086,
0.4533528983592987,
0.1449260115623474,
-0.41860297322273254,
-0.16142064332962036,
0.23721438646316528,
-0.16966678202152252,
1.0625100135803223,
0.1848069280385971,
-0.09390240162611008,
-0.9827309846878052,
0.03476271033287048,
0.5401309728622437,
-0.145751416683197... |
TASK DEFINITION: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference... | No
| 8 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-0.8772380352020264,
0.0024254280142486095,
0.45181936025619507,
0.6619498133659363,
0.2216423749923706,
0.24424757063388824,
0.2654946446418762,
0.4440425634384155,
0.11463985592126846,
0.12090548872947693,
0.13587205111980438,
-0.3750467300415039,
-0.5319588780403137,
-0.9332760572433472... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's context, which has to be one of the following... | book | 1 | NIv2 | task573_air_dialogue_classification | zs_opt | [
0.1874455213546753,
0.048569027334451675,
-0.5944311022758484,
0.053531840443611145,
0.506853461265564,
0.22831958532333374,
1.1656627655029297,
0.3570445477962494,
-0.31040340662002563,
0.5495097041130066,
0.21307338774204254,
-0.30943793058395386,
-0.0005801920779049397,
-0.0476399324834... |
Teacher: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Teache... | A | 2 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.3049825429916382,
0.31512701511383057,
0.3078109622001648,
-0.3292260766029358,
0.05877941846847534,
-0.2196614146232605,
0.006330809555947781,
0.16573327779769897,
0.008753588423132896,
-0.04881070554256439,
-0.5535451173782349,
0.16871611773967743,
0.38886067271232605,
-0.7776862978935... |
Teacher:Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Teacher: Now, understand the problem? Solve this instance: What effect do... | proper | 6 | NIv2 | task1623_disfl_qa_disfluent_question_classification | zs_opt | [
0.29932355880737305,
0.3033113479614258,
0.0003096617292612791,
-0.044283848255872726,
-0.2260831594467163,
0.02383466064929962,
0.7565643787384033,
0.21336443722248077,
-0.07290460169315338,
0.016118580475449562,
-1.1041752099990845,
-0.5539392828941345,
-0.9880399703979492,
-0.2614367604... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
--------
Question: @ChrisFAbbott what is it? I can't open it
Answer: negative
Question: can't wait to see blake now.....my days off are all about quality ... | positive
| 7 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.3937127590179443,
0.27286404371261597,
0.8629080653190613,
0.3188992142677307,
0.05495767295360565,
-0.7914002537727356,
0.17666436731815338,
0.4474110007286072,
0.4393448829650879,
0.652815580368042,
-0.5767915844917297,
-0.39029425382614136,
-0.14251235127449036,
-0.4998629093170166,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Input: C... | Output: Non-identity-attack
| 2 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.3583831191062927,
0.07880619168281555,
-0.16179996728897095,
0.5460635423660278,
-0.29608339071273804,
-0.1841854304075241,
0.7216898798942566,
0.6207714080810547,
0.23111993074417114,
0.6409151554107666,
-0.09392406046390533,
0.048450276255607605,
0.2270263284444809,
-0.942148864269256... |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Bad
| 3 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.522653341293335,
0.1467798948287964,
-0.23979461193084717,
-0.6930301189422607,
-0.6928471326828003,
-0.8356035947799683,
0.7018413543701172,
0.18436747789382935,
0.04077303409576416,
0.11667193472385406,
-0.7725092172622681,
0.18110385537147522,
-0.3965955972671509,
-0.3050894141197204... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Input: آشنا نیست ؟
Output: | يبدو ذلك مألوفا ؟ | 3 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.13226023316383362,
1.0636942386627197,
0.08481351286172867,
0.19069281220436096,
-0.4495132565498352,
-0.24531656503677368,
0.9496392607688904,
0.2780322730541229,
0.6536414623260498,
0.7434043884277344,
-0.814079999923706,
-0.5293567180633545,
-0.3854179382324219,
0.1440301239490509,
... |
Teacher:In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appe... | Return the minimum, maximum, and average seating across all tracks. | 6 | NIv2 | task184_break_generate_question | zs_opt | [
0.7053239941596985,
-0.03709032014012337,
-0.7797083854675293,
0.5184769630432129,
0.2489410638809204,
-0.5846911072731018,
0.7900559902191162,
0.36037084460258484,
-0.34721893072128296,
0.4154961407184601,
-0.27332746982574463,
0.5331094264984131,
0.059027545154094696,
0.03431729599833488... |
In this task, you will be presented with a question having multiple possible answers in Portuguese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
One example is below.
Q: Question: Foi um presente popular e comum este ano, por isso dirigiu-... | A | 9 | NIv2 | task1137_xcsr_pt_commonsense_mc_classification | fs_opt | [
0.40199121832847595,
0.5584664344787598,
-0.3483458161354065,
-0.3149021863937378,
-0.435110479593277,
-0.5040740966796875,
-0.43820106983184814,
1.396251916885376,
-0.032103970646858215,
0.2300068438053131,
-0.0842915028333664,
0.2689460813999176,
-0.055171944200992584,
-0.172245085239410... |
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.
इसलिए आप अंदाज कर सकते हैं कि जब 2018 में चर्चा होगी तो हमारे जो initiative हैं वह count होने वाले हैं
আমরা তরুণ জনসমাজপূর্ণ এক দেশ এবং কর্মসংস্থান সৃষ্টি... | জাতীয় স্তরের এই দুটি কর্মসূচির মাধ্যমে ৬০ কোটিরও বেশি গবাদি পশুর টিকাকরণ করা হবে।
| 0 | NIv2 | task1010_pib_translation_hindi_bengali | fs_opt | [
-0.27320295572280884,
0.5376441478729248,
0.19017693400382996,
-0.29617470502853394,
-0.3691486120223999,
-0.48430508375167847,
0.6157664060592651,
0.9202266931533813,
-0.33469313383102417,
-0.2709132432937622,
-0.9808210134506226,
0.028228603303432465,
-0.15525750815868378,
0.638427853584... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | b | 9 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
-0.007367991376668215,
0.05791611969470978,
-0.2175695300102234,
0.33095425367355347,
0.6742858290672302,
-0.3431147336959839,
0.3542861342430115,
1.206606388092041,
-0.05434729903936386,
0.08147712051868439,
-0.6985463500022888,
-0.00327093293890357,
-0.11476415395736694,
0.01358351577073... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: personx performs better on stage whenever persony is on the stage with him and it could be said that _ has his strength from him.
Sentence 2: personx performs better on stage whenever persony is on the stage with him and it could be said that _ was a strength to him.
| 0 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.22155608236789703,
0.3776482939720154,
-0.12303795665502548,
-0.18449991941452026,
0.36840853095054626,
-0.3581250309944153,
0.6877016425132751,
0.6543717384338379,
-0.12492052465677261,
-0.33909741044044495,
-0.49268603324890137,
-0.2645223140716553,
-0.5299698114395142,
-0.156430795788... |
Instructions: A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: کاپی رائٹ(ترمیمی) رولز 2019 کا مسودہ
Output: | খসড়া কপিরাইট (সংশোধনী) রুল্স, ২০১৯ | 3 | NIv2 | task1070_pib_translation_urdu_bengali | zs_opt | [
0.1080322414636612,
1.1185619831085205,
-0.20451264083385468,
-0.465427964925766,
-0.6638976335525513,
-0.5183485746383667,
0.6417519450187683,
-0.30406588315963745,
0.0689619854092598,
-0.6816976070404053,
-0.9508556127548218,
0.18491677939891815,
0.14272421598434448,
0.05401603877544403,... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | True | 8 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.2820364236831665,
0.4489850699901581,
0.0012092737015336752,
-0.11509465426206589,
-0.6321675181388855,
-0.5597390532493591,
1.0529029369354248,
0.19855740666389465,
-0.07567643374204636,
0.4717109203338623,
-0.7150474190711975,
0.07193836569786072,
-0.47027909755706787,
0.3870874047279... |
In this task, you need to reverse 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.
Example: Sentence: 'as a guy jumps over the snow with his snowboard people riding on the lift behind him look on'. Reverse all words of l... | Solution: an old photo of some elpoep standing next to a sinnet court net | 5 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.3756260871887207,
0.7822529077529907,
0.05309351533651352,
-0.98265540599823,
-0.050419580191373825,
-0.21817274391651154,
0.7050130367279053,
0.18266990780830383,
0.14915722608566284,
-1.0974998474121094,
-1.618943691253662,
0.3886289596557617,
-1.1520283222198486,
0.4303078055381775,
... |
Detailed Instructions: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Problem:ACTION1: being upset that my best fiend chose to go on holida... | no | 8 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.3815053403377533,
0.21576277911663055,
0.29333269596099854,
0.08266156911849976,
-0.40493983030319214,
-1.2556284666061401,
-0.0569661483168602,
0.6960879564285278,
0.27635639905929565,
0.5910785794258118,
-0.06127409636974335,
-0.5613694190979004,
-0.841605544090271,
-0.907526612281799... |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Q: CONTEXT: 22 de mayo de 2016 James Hinchcliffe, piloto del equipo Schmidt Peterson Motorsports obtuvo ... | en la edición pasada de 2015 | 4 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
0.22037306427955627,
-0.23302938044071198,
0.27950188517570496,
0.22114504873752594,
0.4901885986328125,
-0.2552410960197449,
0.3215371370315552,
1.298924207687378,
-0.3026459813117981,
0.40154317021369934,
0.0030748331919312477,
0.4290945529937744,
-0.08352748304605484,
0.5195831060409546... |
Q: Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of i... | 你会去上学 因为你想取悦你的父母 | 7 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.3846195936203003,
0.08266882598400116,
0.13046404719352722,
-0.9546639919281006,
0.014450747519731522,
-0.9099340438842773,
-0.7072964310646057,
0.7158586978912354,
-0.16619408130645752,
-0.2697761654853821,
-0.09911414980888367,
0.008469399996101856,
0.07519026100635529,
0.114670731127... |
Given the task definition and input, reply with output. In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Moses prayed: "Our Lord! Thou hast indeed bestowed on Pharaoh and his chiefs splendour and wealth in the life of the present, and so, Our Lord, they m... | و موسی گفت: پروردگارا! فرعون و اشراف و سرانش را در زندگی دنیا زیور و زینت [بسیار] و اموال [فراوان] دادهای که [نهایتا مردم را] از راه تو گمراه کنند، پروردگارا! اموالشان را نابود کن و دل هایشان را سخت گردان که ایمان نیاورند تا آنکه عذاب دردناک را ببینند. | 5 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.020784087479114532,
1.1699999570846558,
-0.06920713186264038,
-0.8378980159759521,
-0.48503628373146057,
-0.018389644101262093,
0.5652222037315369,
0.3356466293334961,
0.1532272845506668,
-0.04370441287755966,
-0.9451714754104614,
0.5174344182014465,
-0.5470243692398071,
-0.494376480579... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducib... | So what does civic hacking look like? | 0 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.5518373250961304,
0.5440202951431274,
0.6693074107170105,
-0.028221022337675095,
-0.07636058330535889,
-0.2250247299671173,
0.31899523735046387,
0.8090835809707642,
0.05792136490345001,
0.033621739596128464,
-0.1944698989391327,
0.6003773808479309,
-0.47509756684303284,
-0.0254400279372... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Example: מה מייחד את המוח האנושי?
Output: 人の脳の何がそんなに特別なのでしょうか ？
The Hebrew sentence is correctly translated into Japanese. They both refer to the h... | そうとは限りません。 | 1 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.8648629188537598,
0.19739776849746704,
0.2630557417869568,
-0.11098362505435944,
-0.4588576555252075,
0.300603449344635,
0.7938201427459717,
-0.3067605495452881,
0.8343268632888794,
-0.654944896697998,
-0.4715358018875122,
0.09944355487823486,
-0.4741472005844116,
0.5687423944473267,
... |
Q: In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
برچسب قیمت یک میز تحریر 9000 ریال است. این میز 7500 ریال فروخته شده است. نـرخ تخفیـف کـدام است؟ <sep> (A) ۱۵٪ (B) ۱۸٪ (C) ۲۰٪ (D) ۱۶٪
A: | D | 7 | NIv2 | task473_parsinlu_mc_classification | zs_opt | [
-0.9214034080505371,
-0.12257897853851318,
-0.5401862859725952,
0.4328395426273346,
-0.6071360111236572,
0.6837113499641418,
0.9407898187637329,
0.5782197713851929,
0.8668990731239319,
-0.16839838027954102,
-0.035273998975753784,
-0.01465538702905178,
-0.10414564609527588,
0.33925107121467... |
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
One example: Sentence1: My dog was bored. Sentence2: I was working all day so I couldn't spend time with him. Sentence3: When I finished work I decided to play with my... | Abby's mother, Abby | 6 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.32087844610214233,
-0.4280588626861572,
-0.0779014378786087,
0.2815585732460022,
-0.13017792999744415,
0.020794657990336418,
0.16959600150585175,
0.9185056686401367,
0.14638127386569977,
-0.3458346724510193,
-0.821494460105896,
-0.232553631067276,
0.3734718859195709,
0.3485519587993622,
... |
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.
Q: MTVやNickelodeonなどの米国テレビネットワークをいくつか所有するバイアコムが昨年10億ドルの訴訟を起こし、YouTubeは著作権で保護された素材が15億回以上閲覧された16万件以上の無許可の動画クリップの中に写っているのを止めるために十分な措置をとっていないと主張した。
A... | វីអេខម ដែលជាម្ចាស់បណ្តាញទូរទស្សន៍សហរដ្ឋអាមេរិកមួយចំនួន មានដូចជា MTVនិងនីខេឡូឌេអន បានដាក់ពាក្យបណ្តឹងដែលមានតំលៃ1កោដិដុល្លារសហរដ្ឋអាមេរិកកាលពីឆ្នាំ ដោយចោទប្រកាន់យូថូប ថាមិនបានធ្វើអ្វីគ្រប់គ្រាន់ក្នុងការបញ្ឈប់របស់ដែលមានកម្មសិទ្ធិបញ្ញារបស់ខ្លួន ពីការលេចចេញនៅក្នុងឈុតវីដេអូខ្លីៗមិនត្រូវបានគេអនុញ្ញាតដល់ជាង160,000វីដេអូ ដែលត្រូ... | 4 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
-0.04210364446043968,
-0.05143839120864868,
-0.08729667216539383,
-0.11461293697357178,
0.26195093989372253,
0.25283282995224,
0.25468695163726807,
0.3548281788825989,
-0.5605006217956543,
-0.18752191960811615,
0.07000401616096497,
0.05230095237493515,
-0.8844431042671204,
0.00877290219068... |
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