inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given the task definition, example input & output, solve the new input case.
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The up... | strengthener | 1 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.3525148630142212,
0.6489576101303101,
-0.3062744140625,
0.2751098871231079,
0.06622235476970673,
-0.5946067571640015,
0.6773490905761719,
1.2680058479309082,
0.47388869524002075,
-0.5123703479766846,
-1.1472773551940918,
0.0644509568810463,
-0.13493117690086365,
-0.15667903423309326,
... |
Detailed Instructions: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in... | gay gym would | 8 | NIv2 | task1504_hatexplain_answer_generation | zs_opt | [
-0.7915916442871094,
0.9305375218391418,
0.048156462609767914,
0.25183212757110596,
-0.3490070700645447,
-0.804234504699707,
-0.4874764084815979,
0.9356784820556641,
0.6271048784255981,
0.08682683110237122,
-0.9906632304191589,
0.022915557026863098,
-0.34230899810791016,
-0.866945266723632... |
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Q: COZA RAPE: Ilé ọlọpàá ìlú Abuja pé Fatoyinbo fún ìfọ̀rọ̀wánilẹ́nuwò
A: Entertainment
****
Q: DR Congo Park: Olùdarí ìbùdó n... | Politics
****
| 4 | NIv2 | task612_yorubabbc_classification | fs_opt | [
0.4808841645717621,
0.43806377053260803,
-0.025832828134298325,
0.3945372402667999,
-0.17525158822536469,
-0.20743189752101898,
-0.30803412199020386,
-0.17486488819122314,
0.214918851852417,
0.11701232194900513,
-0.004547524265944958,
0.07761426270008087,
-0.6074780821800232,
-0.2677258253... |
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creati... | Who married Sacagewea? | 6 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
1.0751701593399048,
0.42889314889907837,
-0.5684438943862915,
0.09820552170276642,
0.07974608242511749,
-0.31360986828804016,
0.7986060380935669,
0.6368560194969177,
0.3453173041343689,
-0.13143379986286163,
-0.2644348740577698,
0.10320417582988739,
-0.8681944012641907,
-0.0918473452329635... |
Given the task definition and input, reply with output. You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: मारग्रेट अल्वा का जन्म 14 अप्रैल 1942 को मैंगलूर... | बंगलौर | 5 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
-0.04871843010187149,
0.3597068190574646,
-0.03217466548085213,
-0.009674817323684692,
0.3205438256263733,
0.2848549783229828,
-0.18805456161499023,
0.5121892094612122,
0.33830201625823975,
-0.14476421475410461,
-0.12598012387752533,
0.6245818138122559,
-0.23070988059043884,
-0.21938300132... |
You will be given a definition of a task first, then some input of the task.
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
i come in once every two weeks to read to the kids .
Output: | i go to reading to the kids every 14 days . | 1 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.6992331743240356,
0.756242036819458,
-0.23586179316043854,
-0.15091100335121155,
-0.09713951498270035,
-0.3999200463294983,
0.830119252204895,
0.2585827112197876,
-0.2411603033542633,
0.07361754029989243,
-0.34832316637039185,
-0.024019351229071617,
-0.5082457065582275,
0.40915155410766... |
Detailed Instructions: Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have rea... | Ще отидеш на концерт на рок, защото се радваш да го направиш. | 9 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
0.39848530292510986,
0.5504118204116821,
-0.09866258502006531,
-0.053151197731494904,
-0.055126748979091644,
-0.8255844712257385,
0.7349929809570312,
0.48711860179901123,
0.3535975217819214,
-0.12699267268180847,
-0.4663132429122925,
0.6805206537246704,
-0.5442322492599487,
0.5215355157852... |
Detailed Instructions: Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the i... | But they respect their sons decision. | 8 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.2735109329223633,
0.31454625725746155,
0.2261960506439209,
0.03633366525173187,
0.18775750696659088,
-0.3325572907924652,
-0.30428066849708557,
1.2226066589355469,
0.017925642430782318,
0.12739387154579163,
-0.38825809955596924,
-0.16199877858161926,
-0.02148430421948433,
0.0087793804705... |
Given the task definition and input, reply with output. Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Glancing back at the drawer she shrugs. Someone
| smiles as someone walks over to the bar. | 5 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
-0.651560366153717,
1.3306775093078613,
0.09634524583816528,
-0.10981477051973343,
-0.30731672048568726,
0.665212869644165,
-0.29750773310661316,
0.32129499316215515,
0.43121567368507385,
-0.0944984182715416,
-0.4966621398925781,
0.04728047922253609,
-0.3827095031738281,
-0.32160484790802,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Intlawulo iyaphelelwa
Output: | The cover expires | 1 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | zs_opt | [
0.273281991481781,
0.5494069457054138,
0.22336384654045105,
-0.10968219488859177,
-0.2984602749347687,
-0.5142395496368408,
0.9233558177947998,
0.594956636428833,
0.514441728591919,
-0.28377461433410645,
-0.06241714209318161,
-0.2327701896429062,
-0.025567393749952316,
-0.14426004886627197... |
Part 1. Definition
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHET... | no | 7 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.3405405879020691,
0.08854931592941284,
-0.04710996896028519,
0.245197594165802,
0.04530736058950424,
-0.2948837876319885,
0.7001171708106995,
1.2565603256225586,
-0.317293643951416,
-0.4717203378677368,
-0.12152044475078583,
0.06422804296016693,
-0.37414348125457764,
-0.3530893325805664,... |
Teacher:Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story... | His plan did not turn out the way he planned for it to. He cut his hand so bad. His mother had to take him to the doctor. | 6 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.26542556285858154,
0.3023529052734375,
0.3033934235572815,
-0.27946165204048157,
-0.035341933369636536,
-1.3647801876068115,
0.21791872382164001,
0.9748748540878296,
-0.07211768627166748,
-0.17932622134685516,
-0.3586663603782654,
-0.14454253017902374,
-0.24739402532577515,
-0.0201709363... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
--------
Question: Yayintshayelelo yenqanawa yomkhosi wemfazwe yokumkani eyayijongwe ngokungabi namfazwe.
Answer: Its introduction into the Royal Navy s... | Average.
| 7 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
0.026805315166711807,
0.4626620411872864,
-0.04555466026067734,
-0.43526050448417664,
-0.2514101564884186,
-0.13703514635562897,
1.1916584968566895,
0.3360122740268707,
0.4683091640472412,
-0.8154680132865906,
-0.47904589772224426,
-0.16147834062576294,
-0.12001658976078033,
0.175012409687... |
instruction:
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
question:
Fact1: Organisms cluster around hydrothermal vents in the ocean floor., Fact2: To survive, some organisms living near hydrothermal vent... | D
| 9 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.30012038350105286,
-0.22499001026153564,
-0.49306076765060425,
0.24176345765590668,
-0.018239296972751617,
-1.6903538703918457,
0.31382131576538086,
0.7953053712844849,
-0.43542394042015076,
0.008551226928830147,
-0.7102668881416321,
-0.25476276874542236,
-0.6165661811828613,
0.342850238... |
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 Galician. Your job is to translate the Galician sentence into Farsi.
Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os ho... | واسم اون "" برو گمشو سلامتی "" و امیدوارم که که در تور این کتاب بیمار نشوم. | 0 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-0.8711939454078674,
0.4588615298271179,
0.01809040829539299,
-0.4216032922267914,
0.09556149691343307,
-0.12546706199645996,
0.8815286159515381,
0.33844906091690063,
-0.6410149335861206,
0.2165224552154541,
-1.3306503295898438,
0.42129701375961304,
-0.47938546538352966,
0.2713318467140198... |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 米国地質調査所（USGS)は、最初の地震は午前9時27分（-3協定世界時）にアマゾン川のアクレ州にあるクルゼイロ・ド・スルから165キロメートルの場所で起こり、リヒタースケールで6.1と測定された、と報告し... | Yes | 0 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.3020423650741577,
-0.22048768401145935,
0.2807523012161255,
-0.051106538623571396,
0.3973098695278168,
-0.5297178626060486,
0.2090928554534912,
0.5075703859329224,
-0.4504527747631073,
-0.6699258685112,
-0.09492576122283936,
-0.17904943227767944,
-0.6512151956558228,
0.22624637186527252... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Example input: [-83, 53, -48, 8]
Example output: [-80, 50, -50, 10]
Example explanation: The output correctly rounds each integer in the inpu... | [780, 310, 640, 810, -460, 380, 470, -610, -20, 700] | 3 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.4937993884086609,
0.6707806587219238,
-0.37224870920181274,
-0.418071448802948,
-0.3259098529815674,
-0.282163143157959,
1.0952223539352417,
-0.06353319436311722,
-0.2746453881263733,
0.4117802381515503,
-0.4986225962638855,
-0.059409718960523605,
-0.474151074886322,
0.2986569404602051,... |
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Let me give you an example: रोजगार कार्यालय जाओ.
The answer to this example can be: Go to the employment office.
Here is why: The translation is correct
... | Can I ask you something? | 8 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.39779001474380493,
0.8335446715354919,
0.22348882257938385,
0.19187144935131073,
0.09465515613555908,
-0.7465866804122925,
-0.2910720407962799,
-0.20059840381145477,
-0.036282166838645935,
-0.2152790129184723,
-0.252539724111557,
-0.05706929787993431,
-0.1681182086467743,
0.355283856391... |
Detailed Instructions: 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.
Problem:আমাদের সরকার যে বাড়িগুলি নির্মাণ করছেন তাদের গঠন শৈলিতে কোনও নির্দিষ্ট পন্হা অবলম্বন করা হচ্ছেনা।
Solution: | നമ്മുടെ ഗവണ്മെന്റ് നിര്മ്മിക്കുന്ന പാര്പ്പിടങ്ങള്ക്ക് വളരെ കടുത്ത വാസ്തുശില്പ്പ സമീപനം എടുക്കാറില്ല. | 8 | NIv2 | task1003_pib_translation_bengali_malayalam | zs_opt | [
0.05119999125599861,
0.7272199392318726,
0.33088552951812744,
-0.07359698414802551,
-0.3740209937095642,
-0.7268780469894409,
0.8676705360412598,
0.6102299690246582,
-0.6801196336746216,
0.03897687792778015,
-1.0474954843521118,
0.21468569338321686,
-0.6887726783752441,
0.5177057981491089,... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a premise and two alternatives in Indonesian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alte... | 1 | 1 | NIv2 | task1170_xcopa_commonsense_reasoning_id | zs_opt | [
-0.609133243560791,
0.6271311044692993,
0.055791158229112625,
0.19583994150161743,
0.14713475108146667,
0.34856531023979187,
0.7866852283477783,
-0.20685717463493347,
-0.0798780620098114,
-0.02179134637117386,
-0.5012584924697876,
-0.4167972207069397,
-0.20933905243873596,
0.00819907430559... |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second enti... | yes
| 3 | NIv2 | task472_haspart_classification | fs_opt | [
-0.43907400965690613,
0.19497118890285492,
0.5070651769638062,
0.09109450876712799,
-0.2363426685333252,
-0.8645816445350647,
-0.1432836651802063,
0.5408799648284912,
0.40178990364074707,
-0.4470975995063782,
-0.5455098152160645,
-0.037256237119436264,
-0.3695389926433563,
0.04765812307596... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
והוא מתחיל לנוע אל מעבר לאכפתיות-עצמית לכיוון אכפתיות רחבה יותר לאחרים.
A: | Facendo così inizia a spostarsi dalla sua personale preoccupazione verso una più ampia considerazione per gli altri. | 7 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.22746144235134125,
0.5096603035926819,
0.2733614444732666,
-0.14212021231651306,
-0.8045637011528015,
-0.13921315968036652,
0.6082436442375183,
0.26170748472213745,
0.4864259958267212,
-0.7864573001861572,
-0.8230288028717041,
0.03628535568714142,
-0.8580718636512756,
0.2546716034412384... |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
One example: Fact1: a plant requires sunlight to grow, Fact2: Plants to avoid are fast-growing vines that can take over an area in no time., Question: What re... | D | 6 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.8607653379440308,
0.04624501243233681,
-0.48450976610183716,
0.025695692747831345,
-0.1312684416770935,
-1.3736507892608643,
0.6828493475914001,
0.481415331363678,
-0.329996794462204,
-0.27432310581207275,
-0.77370685338974,
-0.22317424416542053,
-0.5644303560256958,
0.22926223278045654,... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Q: Constantemente me pregunta la gente: "¿Es realmente posible diseñar ecosistemas microbianos?"
A: | همیشه مردم ازمن می پرسند ، "آیا براستی طراحی اکوسیستم های میکروبی امکان پذیر است ؟" | 9 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
-0.5816072821617126,
0.40880632400512695,
-0.2051416039466858,
-0.36851370334625244,
-0.6217660903930664,
-1.5002087354660034,
-0.2226022630929947,
0.5390884280204773,
-0.12424613535404205,
0.257507860660553,
-0.18409539759159088,
0.16931967437267303,
-0.26877737045288086,
0.28287285566329... |
Q: In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
pric... | name[The Golden Curry], food[Italian], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Café Rouge] | 7 | NIv2 | task958_e2e_nlg_text_generation_parse | zs_opt | [
-0.7008814811706543,
0.29121291637420654,
0.1442752480506897,
-0.6397622227668762,
0.0010643453570082784,
-0.22147998213768005,
0.7172242403030396,
0.41525930166244507,
-0.008086366578936577,
-0.3401816487312317,
0.494306743144989,
-0.6800982356071472,
-0.7158291339874268,
-0.3048015236854... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Obscene
| 5 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.7690526247024536,
0.008502604439854622,
0.7600224018096924,
0.06233414262533188,
0.17887505888938904,
-0.4278563857078552,
-0.04212198033928871,
1.2506306171417236,
0.0785612016916275,
0.9307693243026733,
-0.2643437683582306,
0.11266164481639862,
-0.20529237389564514,
-0.784659683704376... |
instruction:
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".
question:
the man had lipstic... | plausible
| 9 | NIv2 | task392_inverse_causal_relationship | fs_opt | [
-0.5938632488250732,
0.8656970262527466,
0.9769078493118286,
-0.9271252751350403,
-0.41956549882888794,
-0.2500312924385071,
0.27700528502464294,
0.4241883158683777,
0.5156087279319763,
-0.2778679430484772,
-0.8228844404220581,
0.13951930403709412,
-0.7103578448295593,
-0.3807328939437866,... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | No | 0 | NIv2 | task355_casino_classification_negotiation_other_need | zs_opt | [
-0.12259817123413086,
0.20139947533607483,
-0.5278601050376892,
-0.09370860457420349,
-0.5494139194488525,
-0.7087796926498413,
0.7365697026252747,
0.23468264937400818,
-0.5597831606864929,
0.1387004405260086,
-0.02462024614214897,
-0.3401496112346649,
-1.3839943408966064,
-0.1042572259902... |
Instructions: In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Input: Text: OK ... | Yes | 3 | NIv2 | task635_allegro_reviews_answer_generation | zs_opt | [
-1.183626651763916,
0.19302409887313843,
0.06139649450778961,
0.22994574904441833,
0.16148707270622253,
-1.2148020267486572,
0.8127065300941467,
-0.1718313992023468,
0.36833474040031433,
0.5217939019203186,
-0.36633801460266113,
0.35220685601234436,
-0.06133674085140228,
-0.283488750457763... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
A brother and sister who bravely gave chase... | (B)
| 0 | NIv2 | task302_record_classification | fs_opt | [
0.765410304069519,
0.6692015528678894,
-0.6436629295349121,
-0.5659912824630737,
0.08276514708995819,
0.07002846896648407,
0.40520328283309937,
1.1854063272476196,
0.7625762224197388,
-0.018780630081892014,
-0.5771036744117737,
0.8669549226760864,
-0.2728118598461151,
0.3834952116012573,
... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Example input: ['238', 'h', '92', 'U', '2799']
Example output: 3
Example explanat... | 6 | 3 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.127658873796463,
0.3546496629714966,
-0.20254908502101898,
-0.6278287172317505,
0.5532939434051514,
-0.4582293629646301,
0.5083334445953369,
-0.009470656514167786,
-0.8551622033119202,
0.6520836353302002,
-0.5909231901168823,
0.7450647950172424,
0.09037397056818008,
-0.3467575013637543,... |
Translate the given Spanish text to English
Input: Consider Input: The color of the stick is improved by the addition of the chelating agent.
Output: El color de la barra se mejora mediante la adicion del agente acomplejante.
Input: Consider Input: S mix.)
Output: S org.)
Input: Consider Input: The welding bug r... | Output: El micro robot de soldadura incluye un soplete de soldadura.
| 2 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.6516812443733215,
0.8826764822006226,
-0.4475400447845459,
-0.18074429035186768,
-0.47227635979652405,
-0.7326198816299438,
0.12818992137908936,
0.7450604438781738,
0.02806275524199009,
0.2690594494342804,
-0.9529971480369568,
-0.042458392679691315,
0.16204890608787537,
-0.1374728679656... |
TASK DEFINITION: Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
PROBLEM: Authorities seized another 200 million yuan in assets from Huang once known as the ... | Football: Red-carded Wilshere not dirty says Wenger
| 8 | NIv2 | task418_persent_title_generation | fs_opt | [
-0.04531841352581978,
0.2509126663208008,
-0.5034239292144775,
-0.20698873698711395,
0.6465704441070557,
0.22206810116767883,
0.44907262921333313,
1.0140007734298706,
0.036700427532196045,
-0.09405374526977539,
0.2779892683029175,
0.8861858248710632,
-0.27573949098587036,
0.201429009437561... |
Teacher:You are provided with a user review of a restaurant. Your task is to classify the given review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? Solve this instance: Not upset just disappointed. We waited over an hour for rolls and a few apps. The fish... | negative | 6 | NIv2 | task746_yelp_restaurant_review_classification | zs_opt | [
-1.0639824867248535,
-0.13977408409118652,
0.2995389699935913,
-0.29376351833343506,
0.3276721239089966,
-0.3144965171813965,
0.4029393792152405,
0.7125203609466553,
0.09396432340145111,
-0.004975747782737017,
0.8499590754508972,
-0.07162779569625854,
0.018328411504626274,
-0.5139125585556... |
Given the task definition and input, reply with output. Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
カリパリは続く銃撃とSgrenaの間に勇敢に自身の身を投げてイタリア人の国民的英雄となった、彼女の背後からの銃弾は彼を殺し彼女に重傷を負わせた。
| Calipari menjadi pahlawan nasional Italia setelah dia dengan berani melemparkan tubuhnya padanya pada waktu penembakan itu berlanjut, membunuhnya dan benar-benar mencederai Sgrena dengan beberapa peluru di punggungnya. | 5 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.6111311912536621,
0.9109549522399902,
-0.2902108430862427,
-0.32889997959136963,
-0.4226667284965515,
-0.41784510016441345,
0.9013378620147705,
-0.3543154001235962,
0.0039431070908904076,
-0.3212997019290924,
-0.7715489864349365,
1.0481340885162354,
-1.0370887517929077,
0.42102044820785... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: worker a takes 8 hours to do a job . worker b takes 12 hours to do the same job . how long it take both a & b , working together but independently , to do the same job ? ... | b | 0 | NIv2 | task1422_mathqa_physics | zs_opt | [
-0.17805707454681396,
0.4851396679878235,
-0.4161635935306549,
-0.2745721638202667,
-0.5637202262878418,
0.22671018540859222,
0.11281534284353256,
0.593065619468689,
0.047079041600227356,
-0.21064966917037964,
-0.6623594164848328,
0.2819466292858124,
0.7333621978759766,
-0.2582209706306457... |
Given the task definition, example input & output, solve the new input case.
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Example: Question1: How do I get into my Instagram if I forgot my email and my Facebook password?, Questi... | No | 1 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.17853285372257233,
0.1493421494960785,
-0.28006309270858765,
0.33124321699142456,
0.08275053650140762,
0.11690188199281693,
0.9159176349639893,
0.4446503818035126,
-0.49074721336364746,
0.3212910294532776,
-0.1310892105102539,
-0.548311173915863,
-0.1419031023979187,
-0.1048402041196823... |
Part 1. Definition
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Catalan Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the C... | Sus modales, aunque serios, eran suaves, y su reserva parecía más el resultado de una cierta pesadumbre del espíritu que de un temperamento naturalmente sombrío. | 7 | NIv2 | task1652_opus_books_ca-en_translation | fs_opt | [
0.296048104763031,
0.6678618788719177,
-0.3447415232658386,
-0.25170740485191345,
0.1513535976409912,
-0.8739302754402161,
0.7153769731521606,
-0.31313103437423706,
0.08885108679533005,
-0.367654412984848,
0.018355127424001694,
0.04470069706439972,
-1.3166810274124146,
-0.39503324031829834... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Example input: ويوجد أساسا مرجل دوار.
Example output: É basicamente un caldeiro que rota.
Example explanation: The Arabic sentence is correctly translated into Galician, because the meaning is preserved.
Q: بعض الاشخاص يسال... | Algunha xente preguntaba: "" Por que son en branco e negro? | 3 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.4588389992713928,
0.5381277799606323,
-0.17221331596374512,
-0.6254489421844482,
-0.3254040479660034,
-0.10351581126451492,
0.2892322540283203,
0.06755693256855011,
-0.2675936818122864,
-0.19455625116825104,
-0.5830860137939453,
0.18542051315307617,
-0.9288995265960693,
0.48120269179344... |
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 seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | b
| 6 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.370473712682724,
0.28438612818717957,
-0.4251605272293091,
-0.11770854145288467,
0.800429105758667,
-0.6612150073051453,
0.6470876932144165,
1.322487473487854,
-0.16932493448257446,
0.06488140672445297,
-0.45318132638931274,
0.05317595601081848,
-0.04260100796818733,
0.09980076551437378,... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Example: Category: HOMOPHONIC PAIRS
Clue: It's a notation on a percussion store to clash
Examp... | Solution: patrick branwell bronte | 5 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.3744901120662689,
1.0247116088867188,
-0.5868667364120483,
0.2377847582101822,
0.49412572383880615,
-0.42524784803390503,
0.4621850252151489,
0.21471136808395386,
1.0368314981460571,
-0.16874268651008606,
-0.3164939284324646,
0.3152230978012085,
-0.18804684281349182,
-0.0878825336694717... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
[Q]: Talvez tenha comido algo estragado ao almoço, e então as coisas ficam horríveis, enquanto a sua membrana se rasga e ela vê um vírus a sair de dentro dele.
[A]: ربما تناولت شيئاً غير مناسب على الفطور ، و بدأت الأم... | تنكبس على بعضها كلعب الاطفال
| 5 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
0.00017907668370753527,
0.8120685815811157,
-0.3610501289367676,
-0.8646317720413208,
-0.9560615420341492,
-0.10792380571365356,
0.4602256119251251,
0.21968130767345428,
0.1786099076271057,
0.013273520395159721,
-1.0111584663391113,
-0.028434867039322853,
-1.1601312160491943,
0.20320196449... |
Detailed Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each ci... | (D) | 9 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.6726182699203491,
0.34122002124786377,
-0.08842047303915024,
0.42130106687545776,
0.04542367532849312,
-0.8267815113067627,
0.3739301562309265,
1.5383152961730957,
-0.04805169254541397,
-0.3046504855155945,
-0.2604907751083374,
0.6337164044380188,
-0.4247916638851166,
0.04705365002155304... |
Detailed Instructions: 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', a... | B | 9 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
0.5873146057128906,
0.5614883899688721,
-0.07543720304965973,
-0.07351857423782349,
-0.1261652708053589,
-0.32512912154197693,
0.2685896158218384,
0.05880533531308174,
0.5327619314193726,
0.25489145517349243,
-0.1265709102153778,
-0.24717603623867035,
-0.6649146676063538,
-0.18980801105499... |
Detailed Instructions: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comm... | [6.5, -24.5, 2.5, 22.5, 41.5, 49.0, -18.0, -69.5, -54.0] | 8 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.5916805267333984,
0.07409605383872986,
-0.6530821323394775,
-0.42358288168907166,
-0.10733315348625183,
0.5430151224136353,
0.8112487196922302,
0.5902848839759827,
0.0505979061126709,
-0.2817049026489258,
-0.5813345909118652,
-0.49324744939804077,
-0.005350831896066666,
0.39474257826805... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Q: Agora não há mais tempo para mais Roots and Shoots.
A: | So, there's no time for more Roots and Shoots now. | 4 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
0.41489356756210327,
0.8614785075187683,
0.07954002916812897,
-0.5138458013534546,
-0.5983709692955017,
-0.8655498027801514,
-0.08269259333610535,
1.089736819267273,
0.8510150909423828,
-0.7324413657188416,
0.1565319448709488,
0.15567055344581604,
-0.6267836093902588,
0.43010973930358887,
... |
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 doing a specific job, which is given in the sentence. Y... | to have fun
| 1 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.6480523943901062,
0.2185034453868866,
-0.3131643831729889,
-0.49766260385513306,
0.21618977189064026,
-0.3089614510536194,
0.38300615549087524,
0.5059775114059448,
0.2158101499080658,
-0.2543952465057373,
-0.00517586525529623,
-0.5393092632293701,
-0.12931086122989655,
-0.22383296489715... |
Teacher: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Teacher: Now, understand the problem? If you are still confused, see the following example:
entity: arm
before: free
a... | location of glass seed beads was absent before and on the wires afterwards | 2 | NIv2 | task1631_openpi_answer_generation | fs_opt | [
-0.2754841148853302,
0.2824370861053467,
0.10909853130578995,
-0.6523562669754028,
-0.20100896060466766,
-1.4153505563735962,
-0.05932604521512985,
1.0468027591705322,
0.13713516294956207,
0.10368138551712036,
0.2402278184890747,
-0.14310044050216675,
-0.7789695262908936,
-0.65667450428009... |
In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Q: Larson was born ... | Ruth Evangeline | 4 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
-0.42284515500068665,
1.3435711860656738,
0.1610279083251953,
0.33175474405288696,
0.24902378022670746,
-0.030896028503775597,
0.7634804844856262,
1.2299680709838867,
0.4725552797317505,
-0.23031985759735107,
-0.24882228672504425,
0.6357138752937317,
-0.8007699847221375,
-0.187498360872268... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | No | 6 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.34516578912734985,
0.12131659686565399,
0.15467727184295654,
0.4713846743106842,
0.2916160225868225,
-0.08706004917621613,
-0.022294161841273308,
1.1040196418762207,
0.33523988723754883,
-0.1482263207435608,
-0.5679032802581787,
-0.8834241032600403,
-0.46529120206832886,
-0.376985967159... |
Instructions: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Input:... | Yes | 3 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.6861974596977234,
0.4023837149143219,
0.03127593547105789,
0.3863910734653473,
-0.26047199964523315,
-0.2253040075302124,
0.3388284742832184,
0.39222657680511475,
-0.6550496816635132,
-0.16892625391483307,
-0.6804648637771606,
-0.09146320819854736,
-0.19580087065696716,
0.27813076972961... |
instruction:
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
question:
1, ['s', 'C', 'B', 'L', 'f']
answer:
s, C, B, L
question:
2, ['T', 'D', '6925', 'W', 'J'... | V, b, A, 6971, K, 4437, U, 1801, S, 7621, V, 5165
| 9 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.06531605869531631,
0.29069674015045166,
-0.6231920719146729,
-0.3590136170387268,
-0.1845029890537262,
-0.46190202236175537,
0.5523682236671448,
0.1288265883922577,
-0.7268500328063965,
0.14289553463459015,
-0.8312464952468872,
-0.012870529666543007,
0.47968387603759766,
-0.2474664002656... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | 9, 10. | 0 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.06878961622714996,
0.6465960741043091,
-0.2060810625553131,
-0.4142054617404938,
-0.018900036811828613,
-0.35591739416122437,
0.8650361895561218,
0.774410605430603,
0.16529884934425354,
0.014502338133752346,
-1.1287709474563599,
0.008847946301102638,
-0.9416735172271729,
-0.1421135365962... |
Part 1. Definition
A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Part 2. Example
ગાંધીજી ભારતને એક એવા સર્વસમાવેશક રાષ્ટ્ર સ્વરૂપે જોતાં હતાં, જ્યાં વસતિનો દરેક વર્ગ સમાનતા સાથે રહેતો હોય અને દરેક મ... | The PM said, We are used to people saying politically correct things but Sushma Ji was different. | 7 | NIv2 | task1080_pib_translation_gujarati_english | fs_opt | [
-0.2912464737892151,
0.2543894350528717,
0.34815582633018494,
-0.5152119398117065,
0.22713157534599304,
-1.2755244970321655,
0.929873526096344,
0.17092621326446533,
0.23046618700027466,
-0.25468912720680237,
-0.391487717628479,
-0.1326868087053299,
-0.14956262707710266,
0.00013566622510552... |
In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
One example: Are you willing to do shopping with me?
Solution is here: I only like to shop during festivals
Explanation: Based on the given question and answer, the dialogue is about shopping, so the question an... | I have a knitting class. | 6 | NIv2 | task565_circa_answer_generation | fs_opt | [
-0.20230981707572937,
0.629689633846283,
-0.04208621382713318,
0.05004231259226799,
-0.6702595949172974,
-0.5159662961959839,
0.7626627683639526,
-0.3379901051521301,
0.06117389351129532,
0.006968776695430279,
-0.5031311511993408,
0.5794355869293213,
-0.8164641857147217,
0.5921362638473511... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
[EX Q]: What do you do at a gym to lose weight?, Context: The style and role of any minority leader is influenced by a variety of elements, including personality and contextual factors, such as the... | 2.666 million residents
| 6 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.33594781160354614,
0.21286647021770477,
-0.7126398086547852,
-0.31562894582748413,
0.3854972720146179,
-0.6335670948028564,
0.3590145707130432,
0.33351221680641174,
0.3049386739730835,
-0.025592923164367676,
-0.25318124890327454,
0.7108515501022339,
-1.247642993927002,
0.3766110837459564... |
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
UNLABELLED Cytoscape is a popular bioinformatics package for biological network visualization and data integration. Version 2.8 introduces two powerful new features--Custom Node... | Cytoscape 2.8: new features for data integration and network visualization | 0 | NIv2 | task1586_scifact_title_generation | zs_opt | [
-0.3709375858306885,
0.6493659615516663,
-0.1596224308013916,
-0.002967395121231675,
0.34175196290016174,
-0.14453980326652527,
0.25125762820243835,
0.8880975246429443,
0.37400341033935547,
0.6307090520858765,
0.20910346508026123,
-0.026613064110279083,
-1.1108999252319336,
0.3815108537673... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Q: 日と月が一緒に輝くと明るいという意味になります
A: ضعوا رمزا الشمس والقمر وهما يسطعان معًا ، هذا رمز "" البريق "".
****
Q: この写真は10年前ニューヨーク市の排水溝に落ちていたのを拾ったものです
A: هذه صورة وجدتها ملقاه في مصرف في نيويورك من حوالى عشر سنوات مضت.
****
Q: そしてこの... | وكما أن فكرة واجهة المبنى كانت أرخص بكثير ، ليس فقط بسبب المواد مقارنة بالزجاج ولكن أيضا لأننا لم نكن بحاجة إلى أجهزة التكييف بعد الآن.
****
| 4 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
-0.38054803013801575,
0.663162112236023,
-0.8439450263977051,
-0.7574918270111084,
-0.5541267395019531,
-0.331087589263916,
0.8756940364837646,
0.6333929300308228,
0.2866731286048889,
-0.5630391836166382,
-0.320586621761322,
0.46027833223342896,
-0.35875359177589417,
0.5029100179672241,
... |
Detailed Instructions: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
... | [460, 45, 154, 38, 69, 58, 466] | 4 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.2753508687019348,
0.5693870782852173,
-0.46357059478759766,
-0.5541814565658569,
-0.04254135489463806,
-0.6652697324752808,
1.1294329166412354,
0.49134331941604614,
-0.1374211311340332,
0.40959808230400085,
-0.685749888420105,
-0.3115273118019104,
-0.8043439388275146,
-0.109848439693450... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Gavin Newsome is their curre... | assistant | 0 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.5207045078277588,
0.5742875337600708,
-0.023931007832288742,
-0.8779033422470093,
-0.3449583947658539,
0.5289108157157898,
0.8929897546768188,
-0.5433751344680786,
0.6368014812469482,
-0.3463435769081116,
0.36077237129211426,
0.10108785331249237,
-0.524746298789978,
0.30966874957084656,... |
In this task, you are given a hateful post in Spanish 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 have been replaced with [Link].
One example is below.
Q: Post: @Darkeph Ella ... | Generic | 9 | NIv2 | task338_hateeval_classification_individual_es | fs_opt | [
-0.7361264824867249,
0.33725398778915405,
0.3149777054786682,
0.3305357098579407,
-0.43015530705451965,
-0.9780853986740112,
0.7355738878250122,
1.0216565132141113,
-0.0014934386126697063,
0.13700330257415771,
-0.29874321818351746,
0.33036166429519653,
-0.38278502225875854,
-0.236211121082... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: オーストラリアの女子チームは、現在FIFAにより第9位にランクされており、北朝鮮の女子ナショナルフットボールチームと第８位でタイだった前四半期から１ランク落としている。
A: | Tim wanita Australia saat ini menempati peringkat kesembilan menurut FIFA, turun satu tempat dari kuartal sebelumnya ketika mereka terikat di peringkat kedelapan dengan tim nasional sepak bola wanita Korea Utara. | 4 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
0.031007522717118263,
0.20056335628032684,
-0.8076189756393433,
-0.5970765948295593,
0.17224320769309998,
-0.9557117819786072,
0.5164347887039185,
0.059877462685108185,
-0.019371621310710907,
0.08520933985710144,
-0.8269227147102356,
0.5357184410095215,
-1.398656964302063,
0.67112302780151... |
Instructions: You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviat... | Description | 3 | NIv2 | task1289_trec_classification | zs_opt | [
-0.19060605764389038,
0.06602779775857925,
0.22591137886047363,
-0.20339107513427734,
0.24029314517974854,
-0.44305962324142456,
0.13469921052455902,
0.0621856264770031,
-0.20312973856925964,
-0.06457564234733582,
-0.5748243927955627,
-0.23173335194587708,
-0.5735489130020142,
0.1346977800... |
TASK DEFINITION: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
PROBLEM: Passage: While walking by Minnie Mouse's house one day,... | Steve.
| 8 | NIv2 | task002_quoref_answer_generation | fs_opt | [
0.20007294416427612,
0.712669312953949,
-0.6964539885520935,
-0.2836422920227051,
0.26667648553848267,
0.17824450135231018,
0.9856250882148743,
0.5010877847671509,
-0.32968175411224365,
0.07070089876651764,
0.11820662021636963,
-0.00900192093104124,
-0.3622792959213257,
0.3773993253707886,... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
--------
Question: And when I throw this up into the air and catch it, it has the full three-dimensional structure of the protein, all of the intricacies.
Answer: Y cuando lanzo esto al aire y lo atrapo, tiene la estructur... | Y John dijo, "" Apuesta en gente buena haciendo cosas buenas.
| 7 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.35710883140563965,
1.0648674964904785,
-0.26551371812820435,
-0.5011804699897766,
-0.43304377794265747,
0.18069924414157867,
0.4835874140262604,
1.1328041553497314,
0.005619334988296032,
-0.8095834851264954,
-0.5423285961151123,
0.7879201173782349,
-0.9306187629699707,
0.575193166732788... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Swedish: I dag är dessa sjömän ett... | Yes | 5 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
-1.0651147365570068,
0.8867392539978027,
0.2948070764541626,
-0.5073679685592651,
-0.2608191967010498,
-0.6363701224327087,
0.9599411487579346,
0.2335246205329895,
0.5796890258789062,
-0.6070078611373901,
-0.12278428673744202,
1.2106478214263916,
-0.5130349397659302,
0.17026817798614502,
... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Example Input: English sentence: This is the promise offered by "participatory sensing" or "people-centric sensing."
Example Output: Nke a bụ nkwa awa site "participatory N'ịchpụta" ma bụ "... | Ọ bụ Onye Ngwọta site na ịkpọasị na ịbọ ọbọ
| 3 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.3650071918964386,
-0.21920375525951385,
0.34371182322502136,
-0.7233459949493408,
-0.02192770503461361,
-2.710944652557373,
0.2941814661026001,
0.5016453266143799,
0.20912635326385498,
0.11293784528970718,
-0.31824249029159546,
0.6729116439819336,
-0.37269026041030884,
-0.01225577108561... |
Instructions: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in... | CD | 3 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.7072278261184692,
0.3733507990837097,
-0.5879045128822327,
0.4017634987831116,
0.07039598375558853,
-0.8094398975372314,
0.9913781881332397,
0.14553231000900269,
-0.3485327661037445,
-0.29461827874183655,
-0.3410953879356384,
0.6613744497299194,
-0.3125319480895996,
0.3531437814235687,
... |
instruction:
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
question:
Sentence 1: Lucy had to get a tetanus shot. Sentence 2: She was shaking to th... | b
| 9 | NIv2 | task220_rocstories_title_classification | fs_opt | [
-0.11261475086212158,
0.14843931794166565,
-0.7633990049362183,
0.08751295506954193,
0.16038092970848083,
-0.5561490058898926,
0.09877130389213562,
1.5777316093444824,
0.060353539884090424,
0.5036769509315491,
-0.4328446686267853,
0.3439903259277344,
-0.21805736422538757,
-0.10166054964065... |
Definition: A text is given in Marathi. Translate it from the Marathi language to the Oriya language. The translation must not omit or add information to the original sentence.
Input: मात्र ज्याचा आत्मा जागृत झाला, तो स्वत:च्या तेजाने सर्व दिवस रात्र तळपतो.
Output: | କିନ୍ତୁ ଆତ୍ମଜାଗୃତ ମନୁଷ୍ୟ ନିଜର କାନ୍ତି ଦ୍ୱାରା ଦିନ ରାତି ଚମକୁଥାଏ । | 2 | NIv2 | task1055_pib_translation_marathi_oriya | zs_opt | [
0.7370716333389282,
1.0401911735534668,
-0.17074786126613617,
0.05566637963056564,
-0.9659054279327393,
-0.9515346884727478,
0.9979314804077148,
0.3238620162010193,
-0.048417359590530396,
-0.5881441235542297,
-0.7623101472854614,
-0.681222677230835,
-0.8741322159767151,
-0.1571998745203018... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Example: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Example solution: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Example explanation: The... | Solution: No entanto, os seres humanos temos esa idea, de que a Terra - toda ela: os océanos, os ceos - son tan amplos e resistentes que non importa o que lle fagamos. | 5 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.4922020137310028,
1.2884163856506348,
-0.3800867199897766,
-0.905373215675354,
-0.3351978063583374,
-1.526031494140625,
1.1899316310882568,
0.12177512049674988,
-0.2857055068016052,
-0.22296816110610962,
-0.46528059244155884,
1.220702052116394,
-0.15438592433929443,
0.001151081174612045... |
Teacher: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', ... | No emotion,No emotion,No emotion | 6 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.6981338262557983,
0.24969208240509033,
0.18470096588134766,
-0.7424772381782532,
-0.16376858949661255,
-0.1974942833185196,
0.8542051315307617,
-0.08654823899269104,
-0.14396800100803375,
-0.4901341199874878,
0.21180570125579834,
-0.056467875838279724,
-0.8522641658782959,
0.29408794641... |
Definition: In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Input: Sentence1: Jim made spinach cookies. Sentence2: He sold ... | Yes | 2 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
-0.6561775207519531,
-0.1945389360189438,
0.57944655418396,
-0.311063677072525,
0.15406909584999084,
-0.057811714708805084,
-0.21350666880607605,
0.5209221839904785,
0.171360582113266,
0.12693917751312256,
-0.42073652148246765,
-0.3331557512283325,
-0.1540209800004959,
0.11091473698616028,... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Q: لم يُكشف عن أي حالة من حالات تمويل الإرهاب على صعيد المؤسسات المالية في أرمينيا.
A: | No suspicious case of financing of terrorism has been discovered in the financial institutions in Armenia. | 4 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.10976248979568481,
0.5581427812576294,
-0.4275430738925934,
-0.500294029712677,
-0.3472702205181122,
0.8745721578598022,
1.6088074445724487,
1.2758185863494873,
0.100251704454422,
-0.030793407931923866,
0.1823459267616272,
0.0866931900382042,
-1.0407721996307373,
0.15978629887104034,
0... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise g... | True | 1 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.10729587078094482,
0.7221227884292603,
0.16662783920764923,
-0.6531212329864502,
-0.2517206072807312,
-0.26544833183288574,
0.44793158769607544,
0.5946377515792847,
-0.3441687524318695,
0.15909746289253235,
-0.1623295247554779,
-0.3199481964111328,
-0.6087726354598999,
-0.21168856322765... |
Given the task definition and input, reply with output. In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the len... | 5095, i, 2267, 4345, 9499, Z, 1525 | 5 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-0.4689548909664154,
0.32615116238594055,
-0.11607354879379272,
-0.2537614107131958,
-0.07027760148048401,
0.04046624153852463,
0.14556331932544708,
-0.518418550491333,
-0.37557125091552734,
-0.03427208214998245,
-1.0566967725753784,
0.2940448224544525,
-0.30549415946006775,
-0.19181978702... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, ficti... | travel | 5 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-0.9428422451019287,
0.84276282787323,
-0.025818368420004845,
-0.4317604899406433,
-0.523413896560669,
-0.15041163563728333,
-0.14921525120735168,
0.6455551385879517,
0.25752249360084534,
-0.03794108331203461,
-0.17984485626220703,
0.4827730059623718,
-0.4480852484703064,
-0.41479471325874... |
Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) with the appropriate affor... | tree
****
| 4 | NIv2 | task1153_bard_analogical_reasoning_affordance | fs_opt | [
0.059401217848062515,
0.984870195388794,
-0.11310016363859177,
0.582667350769043,
0.041070304811000824,
-0.42780888080596924,
1.0806885957717896,
0.7645362615585327,
0.3252541124820709,
-0.39105239510536194,
-0.41671425104141235,
0.3504369258880615,
-0.3914607763290405,
-0.1709652841091156... |
Teacher:In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotyp... | Unrelated | 6 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.1549718976020813,
0.29300105571746826,
-0.07682979106903076,
0.10165240615606308,
-0.05927172303199768,
-0.025423109531402588,
0.2954736053943634,
1.0790514945983887,
0.3232405483722687,
-0.2552821636199951,
-0.06798339635133743,
-0.034570641815662384,
-0.6558490991592407,
-0.5139276385... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Example: Amsterdam_Airport_Schiphol | runwayName | "09/27 'Buitenveldertb... | Solution: Afonso Pena International Airport is operated by Infraero, Brasilia. The airport is 911 meters above sea level and its runway length 2215. | 5 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.828506350517273,
0.6910134553909302,
-0.1003599688410759,
-0.8613162040710449,
-0.7878276705741882,
0.2737048864364624,
0.7496379613876343,
0.32085248827934265,
0.275754451751709,
0.21819356083869934,
-0.752412736415863,
0.9759701490402222,
-0.2872219681739807,
-0.2338661402463913,
0.... |
Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Q: 1, 9, ['829... | 8291, K, U, 4585, 9373, D, 135, 2113, 1333 | 9 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.8310364484786987,
0.47938475012779236,
-0.5799461603164673,
-0.73176109790802,
-0.5504834651947021,
-0.37090811133384705,
0.3459823429584503,
-0.726982831954956,
-0.6548530459403992,
0.09579314291477203,
-0.6783437728881836,
-0.06431346386671066,
0.13501198589801788,
0.2692044973373413,... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | Yes | 3 | NIv2 | task1208_atomic_classification_xreason | zs_opt | [
0.10538208484649658,
0.5017188191413879,
0.44255727529525757,
-0.2536131739616394,
-0.7021589875221252,
-0.44952359795570374,
0.8005335330963135,
0.246291846036911,
-0.8278411626815796,
-0.4340929388999939,
0.01770924963057041,
-0.5407270193099976,
-0.3694220781326294,
0.4442457854747772,
... |
Teacher:This task is to translate a news commentary given in Italian language into Zhuang 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.
Teacher: Now, understand the problem? Solve this inst... | 在去年的峰会中，关于中央银行的未来的对话认为通胀目标不利于金融稳定，并提出了三个解决方案：中央银行应该采取反周期的政策方针；应该成立世界性的货币当局以促进央行的多边合作；中央银行必须继续把价格稳定作为首要目标。尽管这些解决方案不乏可取之处，但都不足以有效纠正导致2007—2009年全球金融危机的复杂而影响深远的失灵。 | 6 | NIv2 | task1376_newscomm_translation | zs_opt | [
0.1976035237312317,
0.3975147008895874,
-0.60465008020401,
-0.18838226795196533,
-0.12973032891750336,
-0.2787853479385376,
0.6851887106895447,
0.7305651903152466,
-0.5079485774040222,
0.07715818285942078,
-0.0987471416592598,
0.420760840177536,
-0.3738219141960144,
-0.25128018856048584,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Who did the Han Chinese want to help the Khitan no I mean the Mongols fig... | How many types of cilia are there? | 0 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.8224636316299438,
0.7495440244674683,
-0.27335691452026367,
-0.2579299509525299,
-0.40017497539520264,
-0.6881812810897827,
0.8795473575592041,
0.46698248386383057,
0.18223445117473602,
0.039148762822151184,
-0.8239527940750122,
-0.939181387424469,
-0.5293903350830078,
0.151493310928344... |
Detailed Instructions: In this task, you are given news articles and you need to generate a highlight, i.e., a short summary, with a maximum length of 10 lines.
Problem:(CNN) -- A new CNN poll confirms that we're witnessing a quiet reversal in the character of our two major parties. Traditionally, Republicans have alwa... | John Avlon: A new CNN poll shows a reversal in the character of two major parties .
Avlon: Traditionally, GOP coalesce around a front-runner; Democrats root for newcomers .
Now, GOP has an eclectic pool of presidential candidates; Democrats have Hillary Clinton .
Avlon: If Clinton does not run, Democrats will have almo... | 8 | NIv2 | task1553_cnn_dailymail_summarization | zs_opt | [
-0.7148085832595825,
0.35911843180656433,
-0.4846137464046478,
0.1889469027519226,
0.3713248074054718,
-0.1460440456867218,
0.4105936884880066,
0.7315970659255981,
0.49447447061538696,
0.46565669775009155,
0.2993350923061371,
0.5134762525558472,
-0.46498358249664307,
0.34731873869895935,
... |
Q: In this task, you will be shown a passage in Persian. You need to write a question in Persian for the passage. Your question should be answerable based on the passage and only have one correct answer.
دانه لوبیا دارای دو لپه است و حد فاصل لپهها جنین دانه یا رویان وجود دارد. جنین دانه به شکل استوانه است و در اثر رشد... | کدام قسمت دانه باعث رشد ساقه میشود؟ | 7 | NIv2 | task468_parsinlu_rc_question_generation | zs_opt | [
-0.3216913044452667,
0.998932957649231,
-0.3384366035461426,
0.61616450548172,
-0.9750697016716003,
0.7455558776855469,
0.6012622117996216,
0.5676586627960205,
0.011903354898095131,
-0.6830033659934998,
-0.6575461626052856,
0.44882431626319885,
-0.775376558303833,
1.1072640419006348,
0.2... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | green_treasure_chest | 4 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
0.42637643218040466,
-0.33448606729507446,
-0.7829040884971619,
-0.6098119020462036,
-0.5332972407341003,
-0.8361871242523193,
0.207253098487854,
0.5657782554626465,
0.5007511973381042,
0.13030871748924255,
-0.33659231662750244,
0.6303447484970093,
-0.05788744240999222,
-0.0039154505357146... |
In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/after/during/... something ... | What event has already finished? | 3 | NIv2 | task389_torque_generate_temporal_question | fs_opt | [
0.04011356458067894,
0.8706827163696289,
0.21316611766815186,
0.08073987066745758,
-0.2015194296836853,
-0.7073684334754944,
0.8413257598876953,
0.5680254101753235,
0.4372459352016449,
0.08934777975082397,
-0.016578732058405876,
0.37077242136001587,
-0.9072777628898621,
0.22269578278064728... |
TASK DEFINITION: This task is about translating a given English language sentence to French.
PROBLEM: For me, I have three young boys, and I want them to have a really good relationship with their grandparents.
SOLUTION: Pour ma part, j'ai trois jeunes garçons et je veux qu'ils aient une vraiment bonne relation avec l... | Je le sais parce que mon hamster, Hammy, quand elle n'est pas dehors, elle veut sortir aussi.
| 8 | NIv2 | task1689_qed_amara_translation | fs_opt | [
-0.2737778127193451,
0.050199173390865326,
-0.48956647515296936,
-0.6108932495117188,
-0.29854831099510193,
-0.6927759051322937,
0.4711035490036011,
0.6319352388381958,
0.0037706647999584675,
0.24092218279838562,
-0.19541709125041962,
0.3206552267074585,
-0.30777883529663086,
-0.6190633177... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high... | शायद आपको रोटी में गेहूँ मिल जाए । | 1 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.6631541848182678,
0.664513349533081,
0.556013822555542,
0.49919891357421875,
0.01375669427216053,
-0.20875036716461182,
-0.21818169951438904,
1.076519250869751,
-0.3726038932800293,
-0.44134166836738586,
-1.0685598850250244,
-0.41477710008621216,
0.24852204322814941,
-0.2738514542579651... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
See one example below:
Problem: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Solution: E eu continuo a pensar que o transporte é o centro deste universo.
Explanation: The Farsi sentence is cor... | Vem outro artista, pinta a cabeça do militar como um monstro a comer uma donzela, num rio de sangue, em frente ao tanque. | 4 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.5395107865333557,
0.6318508386611938,
0.2771456837654114,
-0.09669968485832214,
-0.8668123483657837,
-0.14594526588916779,
0.10981744527816772,
0.6805412769317627,
0.17320595681667328,
0.2855578362941742,
-0.7410049438476562,
0.003499678336083889,
-0.6269918084144592,
0.4872448444366455... |
instruction:
In this task, you are given a piece of an article. Your task is to generate a short summary of the text. Try to give the summary in just one sentence.
question:
A Shell Rock woman has been hurt in a single-vehicle crash in rural Butler County.
answer:
A Shell Rock woman has been hurt in a crash.
question... | Earl Ray Tomblin signed the municipal gun bill into law.
| 9 | NIv2 | task1355_sent_comp_summarization | fs_opt | [
-0.5753543376922607,
0.6810789108276367,
-0.20913603901863098,
-0.44529789686203003,
0.028983410447835922,
-0.6290912628173828,
0.23270386457443237,
0.8944644331932068,
0.053728897124528885,
-0.07413690537214279,
-0.16991083323955536,
-0.15533997118473053,
0.149436354637146,
-0.36832919716... |
Instructions: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Input: ararrararar
Output: | ararrara | 3 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.08149018883705139,
0.8431359529495239,
-0.1408657282590866,
-0.23140372335910797,
-0.4943975508213043,
-0.048045843839645386,
1.119586706161499,
-0.13275378942489624,
-0.03860658034682274,
-0.3046855628490448,
-0.6342921257019043,
0.10544677823781967,
-0.8338183164596558,
0.520807087421... |
In this task, you are given a review of a product in the Polish language. Your task is to classify the given product review into these three categories: 1) positive, 2)neutral, 3) negative based on its content.
Text: Folia zagięta na łączeniu folii po stronie kleju. Szpachelką do usuwania bąbli szumnie nazwaną " Anti-... | negative | 0 | NIv2 | task634_allegro_reviews_classification | zs_opt | [
-0.6252401471138,
0.21628811955451965,
0.04739383980631828,
-0.4202963709831238,
0.9189175367355347,
-0.5334153175354004,
0.8735555410385132,
0.4345737099647522,
-0.06887650489807129,
0.7422565221786499,
-0.058110952377319336,
0.9222457408905029,
-0.057021614164114,
-0.4798589050769806,
... |
Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: There is something else that we are keen to develop an... | Vi har dessutom något som är mycket viktigt för den rättsstat som vi ju vill bygga upp. | 3 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.3562682867050171,
1.0907154083251953,
0.2814255952835083,
-0.7220472097396851,
0.02799297124147415,
0.0758654773235321,
0.7831496596336365,
0.6938503384590149,
0.04440302401781082,
0.31711244583129883,
-0.37440866231918335,
0.1237204372882843,
-1.0347789525985718,
-0.4611486792564392,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Example: Brindo soluciones. Estoy muy feliz.
Example solution: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Example explanation: The Spanish sentence is correctly translated into Polish, because the meaning is preserve... | Solution: Wielu ludzi kupuje największe domy, na jakie ich stać, a nawet odrobinę większe. | 5 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.5243114233016968,
1.2919952869415283,
-0.4207063615322113,
-0.2845158576965332,
-0.000287108588963747,
-0.8253908157348633,
1.0911673307418823,
-0.2566452920436859,
0.28968462347984314,
-0.5195820331573486,
-0.4318366050720215,
0.8259421586990356,
-0.821506917476654,
0.11384917795658112... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Q: Every time any Westerners came to the village, she hid the girl.
A: | בכל פעם שאדם מערבי הגיע לכפר, היא החביאה את הילדה. | 9 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.19499637186527252,
0.44576138257980347,
-0.17500895261764526,
-0.2853670120239258,
-0.6302664875984192,
-1.0908021926879883,
0.6097216606140137,
0.021035511046648026,
0.47494709491729736,
-0.5231834650039673,
0.032966047525405884,
0.30839723348617554,
-1.3381874561309814,
-0.17618224024... |
Teacher: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Teacher: Now, understand the... | K, 6801, 2139, 8705, 497, 8505, c | 2 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
0.651100754737854,
0.1029977947473526,
-0.839543342590332,
-0.3652240037918091,
-0.30256378650665283,
-0.5907883644104004,
0.3073149621486664,
0.4791945815086365,
-1.266624927520752,
-0.029217764735221863,
-0.2937728762626648,
-0.20206724107265472,
-0.22660969197750092,
-0.0188273936510086... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Example: JkbloNUq, nYblowj
Example solution: b, j, k, l, n, o, q, u
Example explanation: Here, 'JkbloNUq' is the longer string am... | Solution: a, b, c, d, e, f, g, h, j, n, o, p, q, s, t, u, w, y, z | 5 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.32000917196273804,
1.4739861488342285,
-0.6086279153823853,
-0.8460817933082581,
-0.08127972483634949,
-0.05924716591835022,
0.9802399277687073,
-0.12516584992408752,
-0.17374052107334137,
0.5132608413696289,
-0.016516543924808502,
-0.23275837302207947,
-0.4670041799545288,
0.2905211746... |
A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
आपल्याला आपली मूळ शक्ती कायम ठेवत भविष्यातील गरजांच्या अनुरूप आधुनिक बनावे लागेल. | हमें अपनी मौलिक शक्ति को बनाए रखते हुए भविष्य के समाज और इकोनॉमी के हिसाब से हमें ढलना होगा। | 0 | NIv2 | task1082_pib_translation_marathi_hindi | zs_opt | [
0.12104995548725128,
1.057747483253479,
0.3986395597457886,
0.4340677857398987,
-0.08160312473773956,
-0.6549763083457947,
0.549846887588501,
-0.25007304549217224,
0.36100637912750244,
-0.9352070093154907,
-0.864310622215271,
-0.47969692945480347,
-0.8165525794029236,
0.4568359851837158,
... |
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