inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
--------
Question: Y nos enfrentamos a increíbles retos en seguridad pública porque tenemos una situación en la que 2 / 3 de las personas en las cárceles están aún esperado juicio.
Answer: And we face unbelievable public s... | Color without pigments: this peacock is creating color with shape.
| 7 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.256979376077652,
1.01419198513031,
0.5433903336524963,
-0.29645732045173645,
-0.7008680701255798,
0.12536382675170898,
0.1671627163887024,
0.6413871049880981,
-0.05273068696260452,
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-0.6871116161346436,
0.20249509811401367,
-0.29957011342048645,
0.0728692039847374,
... |
TASK DEFINITION: Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight... | music
| 8 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.26620617508888245,
0.158153235912323,
-0.6313372254371643,
-0.09984887391328812,
0.28551530838012695,
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0.03783189877867699,
0.4752483367919922,
-0.19107568264007568,
0.05809557065367699,
-0.4154924750328064,
0.4240407943725586,
-0.13249582052230835,
-0.544428825378418... |
Given the task definition, example input & output, solve the new input case.
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Yo... | Text two | 1 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.46711164712905884,
0.4574008285999298,
-0.146291583776474,
-0.2411443293094635,
0.31965991854667664,
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-0.43574416637420654,
-0.2939082384109497,
-0.43365901708602905,
-0.143009960651397... |
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Let me give you an example: Event:PersonX treats PersonY's ___ well. Intent: 1) to leave a good impression over person y by doing everything perfectl... | Unknown | 8 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.43753618001937866,
0.46225643157958984,
0.3886581361293793,
-0.29396742582321167,
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1.0697773694992065,
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0.23208317160606384,
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0.19292297959327... |
Q: Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
couch : parlor. refrigerator : ?
A: | kitchen | 7 | NIv2 | task1157_bard_analogical_reasoning_rooms_for_containers | zs_opt | [
0.6737416982650757,
0.8222224712371826,
-0.858823835849762,
0.7535779476165771,
-0.2942768335342407,
0.21648822724819183,
0.8543145656585693,
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0.2426397204399109,
0.17823153734207153,
-0.1325240433216095,
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... |
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 easily understandable b... | Miguel Ángel Jiménez won the bmw asian open 1 with a margin of victory of 2 strokes and a winning score of 274.
****
| 4 | NIv2 | task1409_dart_text_generation | fs_opt | [
0.22486133873462677,
0.6161948442459106,
-0.3957291543483734,
-0.2676650583744049,
0.0641014501452446,
-0.04450579732656479,
0.3683009147644043,
-0.12231552600860596,
-0.5515363216400146,
0.1457657516002655,
-0.3552584648132324,
0.6028759479522705,
-0.2337072789669037,
-0.22116398811340332... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | educated at
| 1 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.4516158103942871,
0.09948210418224335,
-0.5970350503921509,
0.09493710845708847,
0.7195810079574585,
0.27579182386398315,
-0.21393290162086487,
0.690077006816864,
-0.16715626418590546,
0.4560701847076416,
-0.5711885690689087,
0.2948630452156067,
-0.3054771423339844,
-0.49128425121307373,... |
Given an entity as input, output another entity which is part of the input entity. 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., output entity) is in a part-of relationship with its holo... | vesicle | 4 | NIv2 | task471_haspart_answer_generation | zs_opt | [
-0.8819090127944946,
0.6980528235435486,
0.10684941709041595,
0.2690720558166504,
-0.43616175651550293,
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-0.06313315778970718,
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0.725128173828125,
-0.236428901553154,
-0.3386639952659607,
0.48882585763931274,
-0.3247300982475281,
0.378451943397522... |
Teacher:In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Teacher: Now, understand the problem? Solve this instance: [-94, 87]
S... | [181] | 6 | NIv2 | task125_conala_pair_differences | zs_opt | [
-1.3604462146759033,
0.5226290225982666,
-0.14883629977703094,
-0.5667435526847839,
-0.6437433362007141,
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0.8198373317718506,
0.5971163511276245,
0.6003925800323486,
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0.2714875340461731,
-0.5322358012199402,
-0.3102528154850006,
0.1322457492351532,
... |
Q: In this task you are given a tweet that contains some form of irony. You must classify the type of irony the tweet has. Label the tweets ("polarity","situational","other") based on the irony they have. Situational irony happens when a situation fails to meet some expectations, Label these instances as "situational".... | other | 7 | NIv2 | task387_semeval_2018_task3_irony_classification | zs_opt | [
-1.6853479146957397,
0.6634783744812012,
0.3544243574142456,
0.3645993173122406,
-0.5209503173828125,
0.285905659198761,
0.32150834798812866,
0.09938374161720276,
0.6523653864860535,
0.06569105386734009,
-0.12562137842178345,
-0.05772361904382706,
-0.1803121268749237,
0.008622526191174984,... |
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
[EX Q]: M: If you'd like to go there for dinner this evening, I'll phone the restaurant. W: Thank you, bu... | (A) Science
| 6 | NIv2 | task247_dream_answer_generation | fs_opt | [
-0.05392511561512947,
0.4822555184364319,
-0.44480419158935547,
-0.7299255132675171,
0.0982656180858612,
-0.26790642738342285,
0.5837996006011963,
0.3987395763397217,
-0.07355715334415436,
-0.49610528349876404,
-0.47538816928863525,
0.025511840358376503,
0.044615864753723145,
0.08819302171... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: امروزه این مساله نه تنها مشکل بزرگی برای ارتش به شمار میره ، بلکه مساله بزرگیه که در کلیه زمینه های پزشکی فراگیر شده. و اون اینه که ما چطور به جراحت نگاه می کن... | עכשיו, הבעיה הזו היא לא רק בעיה עצומה לצבא, אלא היא גם בעיה גדולה שנפוצה ברחבי השדה הרפואי. והיא איך אנחנו בעצם מסתכלים על פצעים ואיך אנחנו עוצרים אותם מהר בדרך שיכולה לעבוד עם הגוף? | 6 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.22904561460018158,
0.7717812061309814,
-0.0212393831461668,
-0.7007375955581665,
-0.5517548322677612,
0.07275231927633286,
0.9728432893753052,
0.4748843312263489,
0.915488064289093,
-0.8150081038475037,
-0.4096519947052002,
0.08715295791625977,
-0.2641223073005676,
0.10243900865316391,
... |
Given the task definition and input, reply with output. Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
It was the first time in 10 years that more has been borrowed in January than collected through tax and other income. January is usually a key rev... | UK government borrowing hit £8.8bn last month, the highest January figure since records began in 1993, reflecting the cost of pandemic support measures. | 5 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.34280771017074585,
1.0620579719543457,
-0.5077435374259949,
-1.0934348106384277,
0.820912778377533,
0.04010783135890961,
0.7037420272827148,
1.2005784511566162,
-0.2741524875164032,
-0.07831649482250214,
-0.461664080619812,
0.4562097191810608,
-0.7737389802932739,
0.1849178969860077,
-... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF... | 8 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.390353798866272,
0.12658168375492096,
0.011060453951358795,
0.14557680487632751,
0.7670292854309082,
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0.3903005123138428,
0.6573181748390198,
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0.20112226903438568,
0.2319837063550949,
-0.06189962476491928,
-0.4999757409095764,
0.1790669858455658,
... |
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Q: The most important rivers of the d... | Paraphrase | 4 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.6530311703681946,
0.8269109725952148,
0.3278611898422241,
-0.7998478412628174,
-0.27131375670433044,
-0.008976348675787449,
0.8788954019546509,
0.2567344605922699,
0.1821984052658081,
-0.3684040307998657,
0.08173263072967529,
-0.00038803741335868835,
-1.07865309715271,
0.348323583602905... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'a somewhat blurry image a decorated fridge'. Remo... | a somewhat blurry image a fridge | 1 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
-0.1549508273601532,
0.08768245577812195,
0.06952618062496185,
-0.6554983258247375,
0.1843220442533493,
-0.35267001390457153,
0.2551766335964203,
0.24570320546627045,
0.018651172518730164,
-0.1640963852405548,
-0.9357898235321045,
-0.7340194582939148,
-1.063934564590454,
-0.109655424952507... |
In this task, you need to count the occurrences of the given word in the given sentence.
Q: Sentence: 'a flock of ducks swimming in a body of water'. Count the occurrences of the word 'of' in the given sentence.
A: | 2 | 4 | NIv2 | task158_count_frequency_of_words | zs_opt | [
0.07104317843914032,
0.6652140021324158,
-0.6732686758041382,
-0.7072873115539551,
-0.6112679243087769,
0.25593769550323486,
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0.08790961652994156,
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-0.05110874027013779,
-0.08499577641487122,
-0.2995476722717285,
-0.9821704626083374,
0.4711348414421... |
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.
Q: She wore a chandelier in the train.
She wore a dr... | first | 4 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.3287062644958496,
0.27432841062545776,
-0.7091764211654663,
-0.0032969594467431307,
-0.049872174859046936,
-0.4148240089416504,
0.07303570210933685,
0.42566990852355957,
0.38561463356018066,
-0.22221630811691284,
-0.5362626314163208,
-0.9791209101676941,
-0.40531137585639954,
-0.1963073... |
You will be given a definition of a task first, then some input of the task.
The provided file includes inquiries about restaurants, and we ask you to translate those to the Italian language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and fo... | trovami cibo "mexican". | 1 | NIv2 | task173_spl_translation_en_it | zs_opt | [
-0.46937936544418335,
0.798094630241394,
-0.10546599328517914,
0.2907678484916687,
-0.37642237544059753,
-0.016171133145689964,
1.0589945316314697,
0.6902413368225098,
-0.47966253757476807,
-0.7644697427749634,
0.21133649349212646,
0.05754765123128891,
-0.11332570016384125,
0.5920724272727... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | weakener
| 6 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
0.09756176918745041,
0.5305819511413574,
-0.05736646056175232,
0.20283381640911102,
-0.04188242554664612,
-0.9351550340652466,
0.48593807220458984,
0.7288163900375366,
0.17133396863937378,
-0.3997647166252136,
-1.0867083072662354,
-0.197858989238739,
-0.617302417755127,
-0.2911257147789001... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | strengthener | 8 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.13061657547950745,
0.6303141117095947,
0.04528765752911568,
0.11559687554836273,
0.00792063120752573,
-1.2255845069885254,
0.8974502086639404,
1.0572093725204468,
0.5722321271896362,
-0.5233121514320374,
-1.3696894645690918,
0.05786071717739105,
-0.5374419689178467,
-0.11259006708860397... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
We report the experimental results for our two tasks in terms of the correct cl... | correct classification rate (CCR) | 1 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-1.2970554828643799,
0.5576717853546143,
-0.18978747725486755,
-0.3081817030906677,
0.11267655342817307,
-0.499085009098053,
0.31750863790512085,
0.05480034649372101,
0.17426016926765442,
0.3457913398742676,
-0.49030357599258423,
-0.48192477226257324,
0.21745894849300385,
-0.11389803886413... |
Teacher:In this task you will be given a list of strings and you need to concatenate them.
Teacher: Now, understand the problem? Solve this instance: ['v', 'was', 'H', 'involved', 'G']
Student: | vwasHinvolvedG | 6 | NIv2 | task079_conala_concat_strings | zs_opt | [
0.2558194100856781,
-0.3652278780937195,
0.553478479385376,
-0.6053613424301147,
0.12518426775932312,
-0.4216088056564331,
0.6914608478546143,
0.4011204242706299,
0.6907622218132019,
-0.1378220021724701,
-0.5737403035163879,
-0.7936843633651733,
0.357688307762146,
-0.7807077169418335,
0.... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
--------
Question: Being madly in love with all the advances in minimally invasive medicine and technology I often tell my... | Genome-wide analysis of codon usage bias in four sequenced cotton species
| 7 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.38365623354911804,
0.31231173872947693,
-0.12969955801963806,
-0.13025015592575073,
0.5846708416938782,
-0.661847710609436,
0.31579989194869995,
0.9009475708007812,
0.0926331877708435,
0.20234647393226624,
-0.26699280738830566,
-0.03729541599750519,
-0.0030872225761413574,
0.385107457637... |
Given the task definition, example input & output, solve the new input case.
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 s... | Anti-stereotype | 1 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
-0.1456378698348999,
0.4741758108139038,
-0.2722657322883606,
0.3703763484954834,
-0.032842013984918594,
0.01485186256468296,
0.42926573753356934,
0.9321675300598145,
0.5389090180397034,
-0.45991694927215576,
-0.6650011539459229,
0.14863786101341248,
-0.4126901924610138,
-0.343357324600219... |
Detailed Instructions: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, find... | 1/15 | 9 | NIv2 | task835_mathdataset_answer_generation | zs_opt | [
-0.09492574632167816,
0.6123408079147339,
0.038427144289016724,
-0.0767507404088974,
0.34199023246765137,
0.03542529046535492,
0.7811150550842285,
0.4684116840362549,
0.06772136688232422,
-0.6260510683059692,
-0.24775823950767517,
0.02946387231349945,
-0.4927981495857239,
0.086464926600456... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | There is a dog outdoors
****
| 4 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.36024975776672363,
0.7659288048744202,
0.6104079484939575,
-0.42100346088409424,
-0.11636851727962494,
-0.7123099565505981,
-0.21941301226615906,
0.6319706439971924,
0.4509153962135315,
-0.8648441433906555,
-0.6330831050872803,
-0.7447221279144287,
-0.37496817111968994,
-0.3439674377441... |
Teacher: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
♫ עם הכוח לעמוד ♫ ♫ בחצותה את הגבול ♫ ♫ היא אמרה, "" אתם תגדלו חופשיים על האדמה הזו "" ♫ ♫ נשים של תקווה ♫ ♫ נשים של שינוי ♫ ... | Postanowiłem, że opowiem taki dowcip: "" Policzmy: jeśli Verizon ma 70 milionów użytkowników, | 2 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
0.10002106428146362,
0.7058817148208618,
0.11686012148857117,
-0.5460891127586365,
-0.33546319603919983,
-0.5687808990478516,
1.316100001335144,
0.046408262103796005,
0.46495386958122253,
-0.3330327272415161,
-0.5380189418792725,
0.6805005073547363,
-1.0189099311828613,
0.31708621978759766... |
In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Input: Consider Input: 1, ['e', 'u']
Output: e, u
Input: Consider Input: 5, ['721', 'O', 'W', 'N', 'v', 'D', 'B', '7371', '2311', '4289', 'U', '4843', '1089', 'z',... | Output: 8241, b, v
| 2 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.4481677711009979,
0.11184898018836975,
-0.5329418182373047,
-0.415418803691864,
-0.354534387588501,
-0.8168778419494629,
0.7893140912055969,
0.5441199541091919,
-0.5830932259559631,
0.20557156205177307,
-0.3858082890510559,
0.0682348757982254,
-0.43395423889160156,
0.40985068678855896,
... |
Part 1. Definition
This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Part 2. Example
Fact: deep sea animals live deep in the ocean. Question: Frilled sh... | with ice | 7 | NIv2 | task1400_obqa_incorrect_answer_generation | fs_opt | [
-0.04585614800453186,
0.09608075022697449,
-0.614984393119812,
-0.47721830010414124,
-0.5017508864402771,
-0.4560243487358093,
0.6044979095458984,
-0.20683258771896362,
-0.18232744932174683,
-0.33277958631515503,
-0.527393102645874,
0.14358004927635193,
-0.9976676106452942,
-0.179851025342... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
[EX Q]: And you see me worried and trying to protect my child, because you don't leave anyone with this kind of child, even a minister.
[EX A]: ואתם רואים שאני מודאג ומנסה להגן על הילדה שלי כי אסור להשאיר ילדה כזו בחברת מיש... | ונתחיל להיות מסוגלים לעשות כמו שקודי עושה, ובאמת להיות בקשר עם המודלים המדהימים הללו, הקשישים שהיו כאן הרבה מאוד לפנינו.
| 6 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
-0.138993501663208,
0.64698725938797,
-0.3108540177345276,
-0.5229207277297974,
-0.852444589138031,
-0.36194783449172974,
0.8038008213043213,
0.07473953813314438,
0.39961814880371094,
-0.030894458293914795,
-0.28292742371559143,
0.4268800914287567,
-1.4580644369125366,
0.06949391961097717,... |
Detailed Instructions: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restr... | bad | 9 | NIv2 | task1560_blimp_binary_classification | zs_opt | [
-0.057609714567661285,
0.33118271827697754,
-0.0952535942196846,
-0.00701127341017127,
-0.7119185924530029,
-0.8287849426269531,
0.8954743146896362,
0.14739364385604858,
0.2736220359802246,
-0.5200686454772949,
-0.3715910315513611,
-0.5041762590408325,
-0.6956062316894531,
0.42369043827056... |
Q: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
This is understandable, because it is highly likely that Member States which start to cut back on state aid ... | Es comprensible, porque el Estado miembro que empiece reduciendo las ayudas estatales corre el riesgo de que las empresas se vayan, con las correspondientes consecuencias negativas para el empleo. | 7 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.28072860836982727,
1.0620187520980835,
-0.11849940568208694,
-0.5090988278388977,
0.0652344673871994,
-0.5186779499053955,
0.45895829796791077,
1.0748262405395508,
-0.19121116399765015,
0.12290194630622864,
-0.9996412992477417,
-0.9546552896499634,
-0.28628024458885193,
-0.0397672839462... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
excavator, crane, pelican, hoist, upraise
Solution: pelica... | ground | 2 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
0.1492619514465332,
0.5543746948242188,
0.012091251090168953,
-0.2727426290512085,
0.09792859107255936,
-0.41651058197021484,
0.2800053358078003,
0.7395678758621216,
0.1090850979089737,
-0.1941775381565094,
-1.0720659494400024,
0.23591598868370056,
-0.64276123046875,
-0.07453213632106781,
... |
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.
--------
Question: Passage: Zappa expressed opinions on censorship when he appear... | Pilate.
| 7 | NIv2 | task002_quoref_answer_generation | fs_opt | [
0.5613011121749878,
-0.043177492916584015,
-0.5500295162200928,
0.7884841561317444,
0.7933515310287476,
-0.21016821265220642,
1.1441214084625244,
0.9225330352783203,
0.10170269012451172,
0.6302067041397095,
-0.08625147491693497,
0.04574395343661308,
-0.6958954930305481,
-0.2906630635261535... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Q: È stata una trasformazione senza eguali.
A: | 他に類を見ないような変革でした | 9 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.1439463496208191,
0.7948365211486816,
-0.12664934992790222,
-0.28968754410743713,
-0.463167279958725,
-0.3821178078651428,
0.37704408168792725,
1.337631344795227,
0.8257631063461304,
-1.1790812015533447,
-0.31268981099128723,
-0.7603565454483032,
-0.5043009519577026,
0.3486833870410919,... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT | 4 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.17809359729290009,
0.8583792448043823,
-0.19847935438156128,
0.023828091099858284,
-0.014965035021305084,
-0.009901097044348717,
0.0721883624792099,
0.009833906777203083,
-0.16643866896629333,
-0.3140720725059509,
-0.808895468711853,
-0.08406524360179901,
-0.669171929359436,
-0.261234879... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Problem:Comment: Try socio... | Non-threat | 8 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.5998709201812744,
0.736053466796875,
0.7954882383346558,
-0.13143691420555115,
-0.09406456351280212,
-0.16946622729301453,
1.243064522743225,
0.7670285701751709,
-0.026708979159593582,
0.11482512950897217,
0.05609672889113426,
0.021930541843175888,
-0.784477949142456,
-0.924438536167144... |
Teacher: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to... | A woman jumps for joy in the park. | 2 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.19140487909317017,
0.47527390718460083,
0.14862917363643646,
-0.5752742290496826,
0.2201119214296341,
-1.0282862186431885,
-0.35029900074005127,
1.1078155040740967,
0.12456810474395752,
-0.003139513311907649,
-0.6431006789207458,
-0.15199561417102814,
-0.9745582342147827,
-0.66162770986... |
Definition: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the labe... | formal | 2 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
-0.38091880083084106,
0.08788557350635529,
-0.4599262773990631,
0.5103485584259033,
0.14634543657302856,
0.08699563145637512,
0.7740682363510132,
0.13176360726356506,
0.2611106038093567,
0.13232769072055817,
0.09762123227119446,
-0.24395157396793365,
-0.010925544425845146,
0.15971739590168... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | He started packing his own lunch. | 6 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.3213268518447876,
0.550702691078186,
-0.24563699960708618,
-0.7841349840164185,
-0.5294656753540039,
0.5570482611656189,
0.48058879375457764,
0.7573399543762207,
-0.1756184995174408,
-0.4771654009819031,
-0.44559693336486816,
0.18262404203414917,
-0.020680930465459824,
-0.00396260898560... |
Detailed Instructions: Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the ... | Is the relationship between insomnia with short sleep duration associated with hypercholesterolemia : a cross-sectional study? | 9 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.7700133323669434,
0.2998100221157074,
-0.5736203789710999,
-0.488361120223999,
0.03724878653883934,
0.03629392758011818,
0.5373426675796509,
0.9457839131355286,
-0.013587328605353832,
0.03152690455317497,
-0.632537841796875,
0.4371190071105957,
-0.7325447797775269,
0.20633983612060547,
... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Example: 1975 - 76年のNBAシーズンは、全米バスケットボール協会の30番目のシーズンでした。
Output: La saison 19... | La branche codice 2 est mise à jour quotidiennement et le codice de branche 3 est mis à jour tous les 6 mois. | 1 | NIv2 | task815_pawsx_japanese_french_translation | fs_opt | [
0.4785875380039215,
-0.3106990456581116,
-0.17299458384513855,
0.1755462884902954,
0.5196787714958191,
-0.7882190942764282,
0.8180142641067505,
0.48005130887031555,
0.3273998498916626,
0.23427456617355347,
-0.5452187061309814,
0.38816893100738525,
-0.6585962772369385,
-0.002696869662031531... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Problem:English sentence: He presented his law of radiation, stating that, for a given atom or molecule, the emission and absorption frequencies are the same.
Solu... | Siya itinanghal ang kanyang batas ng radiation, na nagpapahiwatig na, para sa isang atom o titing, ang paglabas at Absorsyon frequencies ay ang parehong. | 8 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.4054619073867798,
0.36643218994140625,
0.7788169384002686,
-0.7728533148765564,
0.4073665738105774,
-1.2198100090026855,
0.6835142970085144,
0.5382510423660278,
-0.21441158652305603,
0.19493362307548523,
-0.42633920907974243,
-0.07239188253879547,
-0.837872326374054,
-0.1697019636631012,... |
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.
(CNN) Republican candidate Donald Trump has... | (C)
| 0 | NIv2 | task302_record_classification | fs_opt | [
0.039685383439064026,
0.014762474223971367,
-0.24821868538856506,
0.17137010395526886,
0.20970681309700012,
-0.2594209313392639,
0.7504339218139648,
0.846024751663208,
0.17106661200523376,
0.9783152341842651,
-0.2440309077501297,
0.26965996623039246,
-0.5915100574493408,
-0.125221326947212... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in ... | [443, 599, 337, 971, 587] | 5 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.512172520160675,
0.3687524199485779,
-0.3047010004520416,
-0.34176427125930786,
0.12689796090126038,
0.046293891966342926,
0.806124210357666,
0.1959165334701538,
-0.09557554125785828,
0.1756885051727295,
-1.0927176475524902,
-0.5833505988121033,
-0.11248978972434998,
-0.6372969150543213... |
Given the task definition, example input & output, solve the new input case.
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Example: you have encouraged me thank... | Hope Speech | 1 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.10018102079629898,
0.016218720003962517,
0.2130046933889389,
-0.031584836542606354,
-0.019609322771430016,
-0.43414151668548584,
-0.1135132908821106,
1.0297056436538696,
0.24463266134262085,
0.4123515486717224,
-0.1565743088722229,
-0.17842000722885132,
0.2307475209236145,
-0.4528682827... |
Definition: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Input: [146... | [73, 53, 22, 472, 382] | 2 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.8548175692558289,
0.3169516921043396,
-0.31385302543640137,
-0.45224541425704956,
-0.10518382489681244,
0.04903209209442139,
1.1900768280029297,
-0.07714579999446869,
0.35594627261161804,
0.40397804975509644,
-0.9802908897399902,
-0.23105096817016602,
-0.29536792635917664,
-0.1113503873... |
Definition: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Input: Context : Lord Chumley is a 1914 short drama film directed by James Kirkwood.
Answer : James Kirkwood
Output: | Who was responsible for the direction of Lord Chumley? | 2 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
-0.3633214831352234,
0.7599235773086548,
0.22510522603988647,
-0.2662332355976105,
-0.07699845731258392,
-0.322726845741272,
0.4161984920501709,
-0.6876634359359741,
-0.15227840840816498,
-0.6944759488105774,
-0.6062321066856384,
0.1537145972251892,
-0.17771625518798828,
-0.117569215595722... |
Detailed Instructions: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slat... | N | 8 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.2418780326843262,
0.7990480661392212,
0.0046949791721999645,
-0.6909032464027405,
-0.366099089384079,
0.6274547576904297,
0.9521119594573975,
0.5468795299530029,
0.4050517976284027,
-0.1012406200170517,
-0.4329253137111664,
-0.17438295483589172,
-0.35671716928482056,
-0.1697010099887848... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: as you would do if I were your sister.
A: | همان گونه که اگر خواهرت بودم میافزودی؟ | 4 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
-0.8548694849014282,
1.2472952604293823,
0.030503351241350174,
-0.1757378727197647,
-0.43055033683776855,
-0.421576589345932,
0.54441237449646,
0.3768303394317627,
0.8553287982940674,
0.6828734874725342,
0.2889126241207123,
0.1320788711309433,
-0.4609355330467224,
-0.4118220806121826,
1.... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 写真がMattsのキャンペーン用の印刷物に載った時、背後の人々は写真から削... | Yes | 5 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.7039738297462463,
-0.5143587589263916,
0.2364938110113144,
0.16383427381515503,
0.1446276605129242,
-1.2665324211120605,
0.6506163477897644,
0.7344970703125,
-0.3810752034187317,
-0.18796449899673462,
-0.5619236826896667,
0.20843425393104553,
-0.4155837297439575,
0.19248154759407043,
... |
Given a sentence in Japanese, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
North Downs Wayは、メドウェイバレーウォークまたは高速道路橋の東端にあるメドウェイ高架橋を横切っています。 | North Downs Way穿过Medway Valley Walk东端的Medway高架桥或Autobahn桥。 | 0 | NIv2 | task818_pawsx_japanese_chinese_translation | zs_opt | [
-0.5615459680557251,
-0.20363828539848328,
-0.6298261880874634,
-0.19304250180721283,
-0.43586957454681396,
-0.06600335240364075,
0.1377405822277069,
0.10927785187959671,
0.5360971689224243,
-0.2367503046989441,
-0.396910697221756,
-0.2578742504119873,
0.13415464758872986,
0.46959692239761... |
You are given a conversation between two people.'Person1:' and 'Person2:' are used to separate their respective dialogues. You have to classify if there exist more than 2 unique emotions in conversation. If there are more than 2 unique emotions present in the conversation, the output should be classified as '1' else it... | 1
| 7 | NIv2 | task1535_daily_dialog_uniqueness_classification | fs_opt | [
0.46860331296920776,
-0.147258460521698,
-0.09674406051635742,
0.15636900067329407,
0.49591848254203796,
-0.7689090967178345,
0.6439977884292603,
0.401828408241272,
-0.2510337829589844,
-0.17161773145198822,
0.434730589389801,
-0.12947902083396912,
-0.2752111256122589,
0.210142120718956,
... |
Definition: Translation from English to Telugu.
Input: So what the hell am I supposed to tell O'Keefe?
Output: | సోవాట్ది హెల్నేనుకీఫే చెప్పండిచేయాలో am | 2 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
0.03351110592484474,
1.0181028842926025,
-0.29331183433532715,
0.587173342704773,
0.10200490057468414,
-0.4708235561847687,
-0.40061265230178833,
-0.1372072845697403,
0.49714118242263794,
0.058354541659355164,
-0.38417133688926697,
0.3145178258419037,
-0.9718248844146729,
-0.03977237641811... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
[EX Q]: Person1: Excuse me . I am interested in getting a library... | 0
| 6 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.2653815448284149,
-0.1644071340560913,
-0.4561711251735687,
-0.12833455204963684,
0.8964424133300781,
-1.0610487461090088,
0.9477026462554932,
0.6549426317214966,
-0.07955929636955261,
-0.35410064458847046,
-0.017394334077835083,
-0.03439648076891899,
-0.746080756187439,
0.16498655080795... |
Teacher:In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer u... | 53214 | 6 | NIv2 | task300_storycloze_order_generation | zs_opt | [
0.26835495233535767,
0.5970270037651062,
0.027859680354595184,
-0.6613367199897766,
-0.22592368721961975,
-0.3765558898448944,
0.059991657733917236,
0.4426020383834839,
-0.24578070640563965,
0.14037242531776428,
-0.9814937710762024,
-0.0024159164167940617,
-0.8749740123748779,
-0.391844689... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Example: PPdQTlHHTJEe, DydQTlHHVnmlLu
Output: dQTlHH
Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe... | EYHxb | 1 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
-0.12565457820892334,
1.2264246940612793,
-0.6380894780158997,
-0.1991901993751526,
0.13186895847320557,
-0.5576326847076416,
0.10951708257198334,
-0.2078126221895218,
0.07940793037414551,
0.06292804330587387,
-0.7019435167312622,
-0.674533486366272,
0.2792045474052429,
-0.0921366810798645... |
Teacher:We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gun cont... | Valid | 6 | NIv2 | task150_afs_argument_quality_gun_control | zs_opt | [
0.2880935072898865,
0.7165541648864746,
0.6757657527923584,
-0.5151460766792297,
-0.23903682827949524,
-1.731968879699707,
0.3620925843715668,
0.8138994574546814,
0.29085755348205566,
0.34816694259643555,
-0.5230792760848999,
-0.5323963165283203,
-0.3041146993637085,
0.04797924682497978,
... |
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Example Input: agios nikolaos, crete
Example Output: Aghios Nikolaos is a fishing port and holiday resort on which Greek island?
Example Input: david jason
Example Output: In which UK TV series did Ro... | Which US television sitcom, starring Carroll O'Connor as Archie Bunker, debuted in January 1971?
| 3 | NIv2 | task897_freebase_qa_topic_question_generation | fs_opt | [
0.051306094974279404,
0.14056721329689026,
-0.46502619981765747,
-0.9177035689353943,
0.06453391909599304,
-0.47986504435539246,
1.1548559665679932,
-0.3090035617351532,
0.2569436728954315,
0.47487810254096985,
0.22412800788879395,
-0.14494408667087555,
-1.6426198482513428,
-0.497944295406... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., Person... | No | 1 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.16510029137134552,
0.051158834248781204,
0.3023679256439209,
0.1965506225824356,
-0.09854811429977417,
-0.7638026475906372,
0.7821406126022339,
0.6199594736099243,
-0.6334168314933777,
-0.2846977114677429,
-0.15121698379516602,
-0.40437427163124084,
-0.6256459951400757,
0.045103248208761... |
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 intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements tha... | Yes | 2 | NIv2 | task607_sbic_intentional_offense_binary_classification | zs_opt | [
-0.9353041648864746,
0.00044211966451257467,
0.7860095500946045,
0.48375967144966125,
0.3262799382209778,
-0.774980366230011,
-0.20415791869163513,
0.5509436130523682,
0.013325009495019913,
0.5842850208282471,
-0.13693085312843323,
-0.5308759808540344,
-0.7368575930595398,
-0.4701998233795... |
Q: 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.
日本人が２つのソーラーセイルを宇宙空間で展開しており、これは初めてのソーラーセイル試験ではない。
A: | វាមិនមែនជាការសាកល្បងបង្ហោះផ្កាយរណបដើរដោយបន្ទះសូឡាលើកទីមួយនោះទេ ដោយប្រទេសជប៉ុនឆ្លាប់បានបង្ហោះផ្កាយរណបដើរដោយបន្ទះសូឡានេះចំនួនពីរចូលក្នុងលំហអាកាសរួចមកហើយ។ | 7 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
-0.5775184631347656,
0.2640085816383362,
-0.04887686297297478,
-0.7852103114128113,
0.02561972662806511,
-0.6383642554283142,
0.374752402305603,
0.3797685503959656,
-0.3014851212501526,
-0.4136292338371277,
-0.8660873770713806,
0.13491195440292358,
-0.6640744805335999,
0.4288838803768158,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input.... | Je kunt een kalendertabblad gebruiken om mezelf te herinneren aan iemands verjaardag. | 0 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.36606213450431824,
0.8625698089599609,
-0.11385655403137207,
-0.2653051018714905,
-0.01950470544397831,
-0.8232102394104004,
0.46952491998672485,
0.3581975996494293,
0.2960355877876282,
-0.5576087236404419,
-0.27309006452560425,
0.41497111320495605,
-0.4239106774330139,
0.48754546046257... |
Q: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
शिक्षा बोर्ड.
A: | Board of Education? | 7 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
-0.3033857047557831,
1.109681487083435,
0.9090837836265564,
-0.13344834744930267,
0.16742932796478271,
-1.1384245157241821,
0.1035761907696724,
-0.2937746047973633,
-0.3459720015525818,
-0.9194322824478149,
0.639914333820343,
0.3399270176887512,
-0.6517013311386108,
0.3597409129142761,
-... |
Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: 2011ના નિર્ણય, કે જેમાં એએફએસ, કાનપુરને સૈન્યની 8.
Output: | 90 ਏਕੜ ਡਿਫ਼ੈਂਸ ਜ਼ਮੀਨ ਕੇਂਦਰੀ ਵਿਦਿਆਲਾ ਸੰਗਠਨ ਨੂੰ ਟ੍ਰਾਂਸਫ਼ਰ ਕੀਤੇ ਜਾਣ ਦੀ ਪ੍ਰਵਾਨਗੀ ਦਿੱਤੀ ਗਈ ਸੀ। | 3 | NIv2 | task1043_pib_translation_gujarati_punjabi | zs_opt | [
-0.11943726241588593,
0.23141589760780334,
0.05439674109220505,
-0.501402735710144,
0.06842584908008575,
-1.5287744998931885,
1.0063974857330322,
0.051232561469078064,
-0.045589618384838104,
-0.04702101647853851,
-0.5304960608482361,
-0.3469938635826111,
-1.1751829385757446,
0.221877709031... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Q: ['l', 7331, 'b', 7563, 'K', 8139, 7019, 'g', 9743, 5063, 4213, 2721, 6971, 'F', 'a', 4455, 6945, '8421', '5767', 'P', 'y', 'k', 'U', '4099', '1639', 'M', '2415', '7821', '9365', 'O', 'r', '5485', 'J', '2813', 'k', '7... | 8421, 5767, P, y, k, U, 4099, 1639, M, 2415, 7821, 9365, O, r, 5485, J, 2813, k, 7481, 5221, 9233, O | 4 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.47664958238601685,
0.3900585174560547,
-0.16007015109062195,
-0.7454921007156372,
-0.5475066304206848,
-0.01374180056154728,
0.28324776887893677,
0.1509092003107071,
-0.5058334469795227,
0.2305978536605835,
-0.9699440598487854,
0.3628872036933899,
0.2198272943496704,
0.3154665529727936,... |
Teacher:In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid ... | There was an evacuation they put in place. | 6 | NIv2 | task067_abductivenli_answer_generation | zs_opt | [
0.115531787276268,
0.6130756139755249,
-0.5782545208930969,
-0.6511318683624268,
-0.18088942766189575,
-0.13054537773132324,
0.7150992155075073,
0.0972684696316719,
-0.3474384546279907,
-0.16704899072647095,
-0.41999953985214233,
0.5555214881896973,
-0.5165732502937317,
-0.4610686302185058... |
Part 1. Definition
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Part 2. Example
તેમણે અમેઠીમાં કલાશ્નિકોવ એસોલ્ટ રાયફલનુ ઉત્પાદન કરનાર સંયુક્ત સાહસ ઇન્ડો-રશિયન રાયફલ્સ પ્રા
Answer: مشترکہ وینچر انڈو-... | اس کا مطلب یہ ہے کہ جو لوگ کام کو ایشور سمجھتے ہیں اور اس کی دن رات پوجا کرتےہیں، انہیں دنیا کی تمام خوشیاں اور قناعت نصیب ہوتی ہے۔ | 7 | NIv2 | task1001_pib_translation_gujarati_urdu | fs_opt | [
-0.34958410263061523,
0.32365161180496216,
0.16454669833183289,
-0.6602321863174438,
-0.136099174618721,
0.0890304297208786,
1.0600770711898804,
0.5572123527526855,
0.037966273725032806,
-0.4723547101020813,
-0.9711272716522217,
0.16995730996131897,
-1.1880366802215576,
0.17696012556552887... |
Part 1. Definition
The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) re... | kichen | 7 | NIv2 | task088_identify_typo_verification | fs_opt | [
-0.3797900676727295,
0.46507930755615234,
0.19918078184127808,
0.6787434816360474,
0.46843934059143066,
-1.1469461917877197,
0.7162700891494751,
0.13951510190963745,
-0.28521040081977844,
0.13983260095119476,
-0.22780385613441467,
-0.5293625593185425,
-0.9935920238494873,
-0.22860978543758... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: (笑) そんなに長くはかかりません
Student: | (Risate) Ma, credetemi, non ci vorrà molto. | 6 | NIv2 | task1096_ted_translation_ja_it | zs_opt | [
-0.13204699754714966,
0.8751212954521179,
0.22409726679325104,
-0.903952419757843,
-0.40899714827537537,
-0.2772422432899475,
0.33387523889541626,
0.2069266438484192,
0.18845047056674957,
-0.5772542953491211,
-0.14127889275550842,
0.15886366367340088,
-0.11681541800498962,
-0.2034782469272... |
Instructions: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Input: Title: Geometry test. Sentence 1: Mike has a geometry test tomorrow. Sentence 2: He also has b... | He made a bad grade on his test. | 3 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.8267960548400879,
0.8898038864135742,
0.6642810106277466,
-0.847230076789856,
0.06302085518836975,
0.11544009298086166,
0.32195109128952026,
0.5395540595054626,
0.3758241832256317,
-0.06977318227291107,
-0.8605531454086304,
-0.17373447120189667,
-0.1857495903968811,
0.04521888121962547,... |
instruction:
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
question:
Who initiates shipping?, Context: The States General of the United Provinces were in control of the Dutch East India Company (VOC) and the Dutch West India Company (WIC), but ... | the globe
| 9 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.5747389197349548,
0.15870720148086548,
-0.1867813915014267,
-0.6332031488418579,
0.3897845149040222,
0.3899775743484497,
0.2570551335811615,
0.12136071920394897,
-0.3920711874961853,
0.0027103121392428875,
0.2599027156829834,
0.3811803460121155,
-0.9369401335716248,
-0.35119593143463135,... |
Given the task definition and input, reply with output. Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classificat... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_... | 5 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
-0.4729706645011902,
0.0028778233099728823,
0.05497758835554123,
-0.38029760122299194,
0.2060958594083786,
0.07354080677032471,
0.11328241974115372,
0.7788959741592407,
-0.0183117613196373,
-0.23075255751609802,
-0.40315043926239014,
-0.5382832288742065,
-0.2504209280014038,
-0.18010166287... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | walk around right thrice and run thrice
| 3 | NIv2 | task131_scan_long_text_generation_action_command_long | fs_opt | [
0.6506744623184204,
0.4755265712738037,
-0.542926549911499,
0.14643895626068115,
0.15304432809352875,
0.05822944641113281,
0.03636989742517471,
0.825514554977417,
-0.27093321084976196,
0.11468945443630219,
-0.5504409074783325,
-0.13355638086795807,
-0.5147614479064941,
-0.1524871438741684,... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Let me give you an example: Passage: The group... | Answer: 1893 | 8 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.13495415449142456,
0.38433775305747986,
-0.41460710763931274,
-0.3947107791900635,
0.6374514102935791,
-0.5059592127799988,
0.5580006241798401,
1.2212162017822266,
0.42851027846336365,
0.009763507172465324,
-0.5473019480705261,
0.23735690116882324,
-0.9433558583259583,
0.2821364402770996... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
[Q]: សភាតំណាងរាស្រ្តបានកំពុងជជែកច្បាបកែប្រែបីបួនដែលបានស្នើឡើងទៅកាន់គម្រោងច្បាប់កែទម្រង់រដ្ឋាភិបាលក្នុងតំបន់ដែលមានគោលបំណងក្នុងការផ្លាស់ប្ដូរត... | メージャーは新しく独立するスコットランドと分離後の英国のあいだに通貨同盟はありえないと言い、「スコットランド民族党が交渉の余地があると思っている通貨同盟は英国にスコットランドの負債を引き受けることを要求する」と言った。
| 5 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
-0.08281313627958298,
0.23017260432243347,
-0.32590609788894653,
-0.2015393078327179,
-0.056604787707328796,
-0.9021131992340088,
0.9258818626403809,
0.38149207830429077,
-0.4818548262119293,
-0.7803431153297424,
0.09949428588151932,
0.6663699746131897,
-0.6297614574432373,
-0.143358528614... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Even... | English | 1 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.593946099281311,
0.6744931936264038,
0.8058971166610718,
-0.25055456161499023,
0.1871565878391266,
-0.47608524560928345,
0.5295884609222412,
0.8011906743049622,
0.0755482092499733,
-0.11897098273038864,
0.4361110329627991,
-0.08062902092933655,
0.13111348450183868,
-0.2299201339483261,
... |
The task is to generate the correct answer for a given math problem.
Let me give you an example: a multiple choice test consists of 4 questions, and each question has 5 answer choices. in how many r ways can the test be completed if every question is unanswered ?
The answer to this example can be: 625
Here is why: Tot... | 1875 | 8 | NIv2 | task1726_mathqa_correct_answer_generation | fs_opt | [
0.32336124777793884,
1.2135316133499146,
0.236770898103714,
0.058270372450351715,
-0.03215447813272476,
-0.4629628360271454,
1.0286269187927246,
0.10850825160741806,
-0.46363747119903564,
-0.12065073847770691,
-0.1170719712972641,
0.4038127362728119,
-1.0297839641571045,
0.5272610187530518... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
[Q]: الفن يجب ان يكون احد الادوات التي نطور مجتمعنا من خلاله
[A]: A arte deveria ser uma das ferramentas para melhorarmos a nossa sociedade.
[Q]: هذا من سي بي سي سانداي مورنينغ - تم عرضه من أسبوعين تقريبا.
[A]: Isto é o ... | Porquê? Para manipularem o resultado da pesquisa.
| 5 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.4887252449989319,
0.7208374738693237,
-0.00523445475846529,
-0.8279966115951538,
-0.26409196853637695,
-0.23834849894046783,
0.09074441343545914,
0.5694576501846313,
0.2393186390399933,
-0.19167403876781464,
-0.6396785378456116,
0.1897350251674652,
-0.6502612829208374,
0.124754711985588... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | select the row whose number of episodes record of all rows is maximum . the english title chinese title record of this row is dark tales ii 聊齋 貳 . | 9 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.15402883291244507,
-0.1260790079832077,
-0.1628577560186386,
0.255252480506897,
0.10569393634796143,
-0.2569917142391205,
0.46358659863471985,
0.3064844012260437,
0.09804587811231613,
-0.18518738448619843,
-0.7998946905136108,
0.3708283305168152,
-0.07876621186733246,
0.4842717945575714,... |
Teacher: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Teacher: Now, understand the prob... | Toxic | 2 | NIv2 | task327_jigsaw_classification_toxic | fs_opt | [
-0.4599805772304535,
0.5025019645690918,
0.9649226069450378,
-0.3846466541290283,
-0.08173451572656631,
-0.9560239315032959,
0.9508745074272156,
0.13709218800067902,
0.4765961170196533,
0.5892624855041504,
-0.05003853142261505,
-0.18459966778755188,
-0.9106966853141785,
-0.8903671503067017... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Input: עכשיו, לבסוף התברר שמדובר בשירבוט של ביל גייטס.
Output: | Poi si è scoperto che erano gli scarabocchi di Bill Gates. | 2 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.9168523550033569,
0.9906729459762573,
-0.11782823503017426,
0.4883366823196411,
-0.6806559562683105,
-0.5799112319946289,
0.6129459142684937,
0.5570703744888306,
0.6476187705993652,
-0.238072007894516,
-0.7855706214904785,
0.47165924310684204,
0.343164324760437,
0.357488751411438,
0.1... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Example: Comment: President lied under oath about consensual sex...
No... | Solution: Sexual-explicit | 5 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.7780354022979736,
0.22002947330474854,
0.5442419052124023,
0.33368512988090515,
0.013070262968540192,
-0.6171607971191406,
0.5338701009750366,
0.6655635833740234,
0.14954929053783417,
0.37666624784469604,
0.4415028691291809,
0.0503571480512619,
-0.4912744164466858,
-0.9375708103179932,
... |
Detailed Instructions: In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Problem:4, ['w', '9053', 'S', '171', '5407', '193', '5755', '495', 'v', '4169', 'V', '5197', '1097', 'j', 'x', '7483', 'z', '2027', '8441', '186... | w, 5407, v, 1097, z, 3979, g, j, p, 3473, 2825 | 8 | NIv2 | task1542_every_ith_element_from_starting | zs_opt | [
0.02575209178030491,
0.4846445322036743,
-0.23063603043556213,
-0.5395592451095581,
-0.23953765630722046,
0.1300165355205536,
0.5817149877548218,
0.1346161961555481,
-0.27013862133026123,
0.40479576587677,
-0.5656617879867554,
-0.08519556373357773,
0.3024670481681824,
-0.08367325365543365,... |
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in se... | Yes | 8 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
-0.04844047129154205,
0.2435966283082962,
0.8321660757064819,
0.1497119814157486,
-0.5014439821243286,
-0.7936418056488037,
-0.2666260004043579,
0.9319398403167725,
-0.17030590772628784,
-0.3783823549747467,
-0.3750510811805725,
0.051839668303728104,
-0.49397003650665283,
0.125365227460861... |
Detailed Instructions: 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].
Q: Spanish Prime Minister Mariano Rajoy vows that his government will not allow Cata... | Hundreds of thousands rally against Catalonia secession | 9 | NIv2 | task418_persent_title_generation | zs_opt | [
0.8992238640785217,
0.566957950592041,
0.1453361213207245,
0.10470740497112274,
-0.23610304296016693,
0.46416008472442627,
0.4595004916191101,
1.4558879137039185,
-0.3792040944099426,
-0.15177330374717712,
-0.7521206140518188,
0.5427731871604919,
-0.5645055770874023,
-0.0532895065844059,
... |
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".
Let me give you an example: Article: australia 's current account deficit shrunk by a record #.## billion dollars -lrb- #.## billi... | no | 8 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.34095197916030884,
0.1875859647989273,
-0.20668473839759827,
0.2683216333389282,
-0.39453262090682983,
-0.44242337346076965,
0.03436528146266937,
0.7412028312683105,
-0.046495407819747925,
0.14819291234016418,
-0.2439746856689453,
-0.1789408028125763,
-0.6048601865768433,
0.194604337215... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Input: یکجور شوخی بود ، چون مشتق گیری دوگانه از کلمه ای یونانی است.
Output: | ある種のジョークありギリシャ語から派生した二つの意味を持っています | 3 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.8603298664093018,
0.8051464557647705,
-0.17911246418952942,
-0.7220596075057983,
-0.5490866899490356,
0.41567516326904297,
1.1891751289367676,
-0.18926379084587097,
1.3007383346557617,
-0.7535911798477173,
-1.3806111812591553,
0.6620630621910095,
-0.26440006494522095,
-0.160877674818038... |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Q: [header] How to style hair with hot rollers [title] Get the rollers ready. [step] Go ahead and p... | A | 4 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.31036314368247986,
0.6596267223358154,
-0.575637698173523,
0.08625190705060959,
-0.5092077255249023,
-0.7146152257919312,
0.7018911838531494,
1.0740967988967896,
0.007306904532015324,
-0.022512268275022507,
0.0032183360308408737,
-0.04865644872188568,
0.8601412177085876,
-0.9975124001502... |
Detailed Instructions: Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 r... | lie Antonym sit | 9 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
-0.2580915093421936,
1.2936584949493408,
0.1740891933441162,
-0.36898356676101685,
-0.4567340612411499,
-0.6010410785675049,
0.443532794713974,
0.17762133479118347,
0.4485549330711365,
-0.6940896511077881,
-0.5999460220336914,
0.4432770609855652,
-0.7166604995727539,
0.2859751284122467,
... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Input: Następnie dane wysyłane są do systemu operacyjnego, gdzie łączone są z kartoteką pacjenta umieszczoną w bazie danych w centrali, dajmy na to, w Stanach Zjednoczonych.
Output: | ثم يذهب إلى مركز عمليات الشبكة حيث يحصلون على البيانات من قواعد البيانات الخاصة بك كمريض التي وضعت في موقع مركزي ما ، مثلا ، في الولايات المتحدة. | 2 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.5551842451095581,
-0.17974060773849487,
-0.9568617343902588,
-0.5055373907089233,
-0.07830099761486053,
0.3053169846534729,
1.5810414552688599,
-0.38949233293533325,
0.8710331916809082,
-0.12686759233474731,
-0.3210473656654358,
0.20278817415237427,
-0.03734948858618736,
0.8637224435806... |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabe... | Numbers Win | 9 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
-0.2772064805030823,
0.3671807050704956,
-0.48086410760879517,
-0.32104724645614624,
-0.34563493728637695,
-0.6013030409812927,
0.19803880155086517,
-0.2193564474582672,
0.0257878378033638,
0.0726807713508606,
-1.2618482112884521,
0.14520412683486938,
-0.18945156037807465,
0.08902814984321... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Example: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disea... | Clarithromycin administered intravenously in experimental infection caused by pan-resistant K. pneumoniae attenuated systemic inflammatory response and local tissue damage. This effect is probably attributed to immunomodulatory intervention on blood monocytes. | 1 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.15322721004486084,
0.3663023114204407,
-0.16221344470977783,
0.06876753270626068,
0.7127358913421631,
-0.26684075593948364,
0.20776641368865967,
0.5144023895263672,
-0.31566470861434937,
0.07500582188367844,
-0.2552231252193451,
0.10577157884836197,
-0.7481740713119507,
0.391341596841812... |
Part 1. Definition
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Part 2. Example
و همان کسى که جفتها را یکسره آفرید، و براى شما از کشتیها و دامها [وسیلهاى که] سوار شوید قرار داد.
Answer: He who created pairs of everything, and fashioned for you boats ... | The Lord of the heavens and the earth, and all that lies between them, most benevolent, to whom none may dare address a word. | 7 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.5383495688438416,
0.7691330909729004,
-0.4528367221355438,
-0.47837570309638977,
-0.19605159759521484,
-0.20099662244319916,
1.3090027570724487,
0.2627808451652527,
-0.038073137402534485,
0.03139011561870575,
-1.2038074731826782,
0.986702024936676,
-0.7998447418212891,
0.516077578067779... |
Given the task definition, example input & output, solve the new input case.
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
Example: கவுஷிக் கங்குலி
Output: ਕੌਕਸ ਗਰੂਕੁਲੀ
Correct translation for given se... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਸ੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਕੱਲ੍ਹ ਵਾਰਾਣਸੀ, ਉੱਤਰ ਪ੍ਰਦੇਸ਼ ਵਿੱਚ ਹੋਣ ਵਾਲੀ 15ਵੀਂ ਪ੍ਰਵਾਸੀ ਭਾਰਤੀਯ ਦਿਵਸ (ਪੀਬੀਡੀ) ਕਨਵੈਨਸ਼ਨ ਦਾ ਉਦਘਾਟਨ ਕਰਨਗੇ। | 1 | NIv2 | task1016_pib_translation_tamil_punjabi | fs_opt | [
-0.38506942987442017,
0.1600480079650879,
-0.05146566033363342,
0.08641958236694336,
0.02568383514881134,
-0.8496384024620056,
0.2559201717376709,
0.06344398856163025,
-0.45218873023986816,
0.55764240026474,
-0.20463962852954865,
-0.11259245872497559,
-0.3007878363132477,
-0.03092928975820... |
Detailed Instructions: In this task, you need to reverse the order of words in the given sentence.
Q: Sentence: road signs on highway in foreign country on a foggy day
A: | day foggy a on country foreign in highway on signs road | 9 | NIv2 | task376_reverse_order_of_words | zs_opt | [
-0.04428093880414963,
0.5021148920059204,
0.0475274994969368,
-1.0682952404022217,
-0.22683559358119965,
-0.5262222290039062,
0.6146668195724487,
1.222933053970337,
-0.6312856674194336,
0.30391594767570496,
-1.1560544967651367,
-0.5156286954879761,
0.625809907913208,
-0.6370201110839844,
... |
Teacher: 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.
Teacher: Now, understand the proble... | (F) | 2 | NIv2 | task302_record_classification | fs_opt | [
0.08082768321037292,
0.3953016698360443,
-0.34237951040267944,
-0.15857864916324615,
0.16332179307937622,
-0.10372624546289444,
0.19085529446601868,
1.0698742866516113,
-0.4463639259338379,
0.7324912548065186,
0.3810945451259613,
0.7375296354293823,
-0.8474317193031311,
0.17718090116977692... |
You will be given a definition of a task first, then some input of the task.
The task is to generate the correct answer for a given math problem.
Problem: a “ palindromic integer ” is an integer that remains the same when its digits are reversed . so , for example , 43334 and 516615 are both examples of palindromic in... | 200 | 1 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
-0.07813169062137604,
0.6187433004379272,
-0.19312965869903564,
-0.21185201406478882,
-0.41801589727401733,
0.4704228341579437,
1.1136046648025513,
-0.18046775460243225,
0.03442718833684921,
-0.20989981293678284,
-1.0863568782806396,
0.44395703077316284,
-1.0334274768829346,
0.177216708660... |
This task is about translating a given Yoruba language sentence to English.
One example is below.
Q: Lóde òní gbajúbajà ni àwọn àṣẹ CC lórí ayélujára tí àwọn oníṣẹ́-ọpọlọ jákèjádò ilé-ayé sì ń lò wọ́n fún èyí-ò-jọ̀yìí nǹkan tí o kò lérò.
A: Today CC licenses are prevalent across the web and are used by creators around ... | There was a problem reordering the channels | 9 | NIv2 | task1686_menyo20k_translation | fs_opt | [
-0.030974211171269417,
0.7338873744010925,
-0.2081861048936844,
0.23510891199111938,
0.05129948630928993,
-0.3252783417701721,
-0.1763474941253662,
0.42085129022598267,
0.12175555527210236,
-0.6771191358566284,
0.019531114026904106,
-0.15146154165267944,
-0.7906586527824402,
0.380888581275... |
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