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 |
|---|---|---|---|---|---|---|
TASK DEFINITION: In this task, you need to count the number of words in a sentence that contain the given letter
PROBLEM: Sentence: 'bus parked next to a side walk on the road'. How many words contain the letter 'd' in the sentence.
SOLUTION: 3
PROBLEM: Sentence: 'a red and green fire hydrant in son a sidewalk'. How ... | 1
| 8 | NIv2 | task161_count_words_containing_letter | fs_opt | [
0.2022494673728943,
0.6409797668457031,
-0.7757313847541809,
-1.0045064687728882,
-0.583114504814148,
0.07252983003854752,
0.7418202757835388,
0.2186938226222992,
0.9360213279724121,
0.008368628099560738,
-0.7452425956726074,
0.010004459880292416,
0.1680680215358734,
-0.12468014657497406,
... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Example input: Timothy likes to play sports. He spends his time after school playing basketball and baseball. ... | Yes | 3 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
-0.12243708223104477,
-0.0035283591132611036,
-0.6359128952026367,
-0.19659267365932465,
0.5252372622489929,
-0.3599764108657837,
0.44980302453041077,
0.4981642961502075,
0.38769495487213135,
0.1101951152086258,
-0.480229914188385,
0.08936034142971039,
-0.27199673652648926,
-0.173525437712... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Input: Sentence 1: Open the gate! he called softly. Sentence 2: "Open the front ga... | 9 | 3 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.13070544600486755,
0.3795722723007202,
0.27098435163497925,
-0.30747219920158386,
0.07379402965307236,
0.4499824345111847,
-0.093765988945961,
0.5439075827598572,
0.04769110307097435,
-0.15047955513000488,
-0.6068653464317322,
-0.6079266667366028,
-0.780029296875,
-0.68943852186203,
0... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | (8, 9)
| 5 | NIv2 | task089_swap_words_verification | fs_opt | [
0.15313702821731567,
0.569061279296875,
-0.45583251118659973,
-0.4758271276950836,
0.06867430359125137,
-0.2769964039325714,
0.20937663316726685,
0.5367057919502258,
0.0955585166811943,
0.17658381164073944,
-0.3930506408214569,
-0.09612395614385605,
0.21933284401893616,
-0.1755006313323974... |
Definition: 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.
Input: 5, 5, ['v', 'H', '... | 8115 | 2 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.10341600328683853,
-0.20717760920524597,
-0.6581704616546631,
0.15028351545333862,
0.1649302989244461,
-0.1000422015786171,
0.34902143478393555,
-0.2389017939567566,
-0.052898574620485306,
-0.14732626080513,
-1.174924612045288,
-0.2540593445301056,
0.5045655965805054,
0.0736390352249145... |
Given the task definition and input, reply with output. 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.
To launch its collection for the autumn/winter season, Tibetan fashion label YEEOM recently held a fashion show ... | MHRA issued a recall of 16 medicines made by Wockhardt at its Waluj site. | 5 | NIv2 | task1355_sent_comp_summarization | zs_opt | [
-0.5297684669494629,
0.9862293601036072,
-0.33916881680488586,
0.4016139507293701,
0.08537467569112778,
-0.0906827300786972,
-0.5119143128395081,
0.286690354347229,
-0.22560550272464752,
0.6414783000946045,
-0.227224200963974,
1.2899250984191895,
-0.9147758483886719,
0.6780077815055847,
... |
TASK DEFINITION: In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
PROBLEM: Aaron had a good relationship with their family but Jeffrey didn't. _ visited their parents quite rarely. (A) Aaron (B) Jeffrey
... | A
| 8 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.09245580434799194,
-0.19915662705898285,
0.2649648189544678,
-0.9891495704650879,
0.0931955948472023,
-0.5933700203895569,
1.0497183799743652,
0.5764042735099792,
0.5435076951980591,
-0.17030595242977142,
0.45694440603256226,
0.12619030475616455,
-0.24282145500183105,
-0.0725287348031997... |
Teacher: Generate a correct and concise answer for the question based on the words in the context.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the moder... | International Organization for Standardization | 2 | NIv2 | task1327_qa_zre_answer_generation_from_question | fs_opt | [
0.4865000247955322,
0.1647084355354309,
-0.799472451210022,
-0.8360177278518677,
0.0904293805360794,
0.15229392051696777,
0.4942738711833954,
1.0790908336639404,
-0.0019709807820618153,
0.184218168258667,
0.07132162153720856,
0.7334806323051453,
-0.9730626940727234,
-0.048752348870038986,
... |
You will be given a definition of a task first, then some input of the task.
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.... | user | 1 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.4552035331726074,
0.46570640802383423,
-0.3956032991409302,
-0.4978594481945038,
-0.2692616581916809,
0.293954074382782,
0.7472464442253113,
-0.6982244253158569,
0.8881466388702393,
-0.4157368838787079,
-0.39355894923210144,
-0.6455291509628296,
0.040806930512189865,
-0.0561258047819137... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Smokers run _ times the risk of sudden death compared with non-smokers. | three | 0 | NIv2 | task672_nummersense | zs_opt | [
0.4052448570728302,
0.9585375189781189,
-0.3179470896720886,
-0.8697813749313354,
-0.8056789636611938,
0.5578213334083557,
0.30307096242904663,
0.8776828050613403,
0.6993711590766907,
-0.11733511090278625,
-0.6189780235290527,
0.005978371482342482,
-0.29584866762161255,
-0.2307408303022384... |
Teacher:In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
Teacher: Now... | Answerable | 6 | NIv2 | task290_tellmewhy_question_answerability | zs_opt | [
0.15149423480033875,
-0.06554004549980164,
0.31601661443710327,
0.07765013724565506,
0.21782037615776062,
-0.5510110855102539,
-0.1745738387107849,
0.5190401077270508,
-0.06324678659439087,
0.23468175530433655,
0.09538283944129944,
0.19076454639434814,
0.0896841287612915,
-0.20127919316291... |
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_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_RIGHT I_LOOK | 8 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.1623014211654663,
0.6476393938064575,
-0.26637399196624756,
-0.22871609032154083,
0.18861019611358643,
-0.05366184562444687,
0.3617115020751953,
0.07417081296443939,
-0.15451228618621826,
-0.2793557643890381,
-0.7967731952667236,
-0.23179671168327332,
-0.8798320293426514,
-0.161661326885... |
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 English, and your task is to translate it into Persian.
you may leave. pardon?
Output: | ممکنه اينجا رو ترک کني ببخشيد ؟ | 1 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.35162782669067383,
0.8213479518890381,
-0.19905099272727966,
-0.1114947497844696,
-0.26689618825912476,
-0.33879444003105164,
0.2852841317653656,
0.6365463733673096,
0.7597061395645142,
0.2742539644241333,
-0.3729746639728546,
0.3489260673522949,
-0.06691710650920868,
0.2187747657299041... |
Teacher:You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Teacher: Now, understand the problem? Solve this instance: Courtney found herself in a great situation.
Student: | female | 6 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.2634868025779724,
0.7359617948532104,
-0.3580096960067749,
-1.222574234008789,
-0.5142349004745483,
-0.050312768667936325,
0.2044973373413086,
0.09918449074029922,
0.6645393967628479,
-0.005673893727362156,
-0.02688016928732395,
-0.0007404425414279103,
-0.44621556997299194,
-0.384566277... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Example input: Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Example output: Lionel Messi is the greatest football player of all time
Example explanation: Th... | 21 And he stretched, and measured himself upon the child three times, and cried to the Lord, and said: 0 Lord my God, let the soul of this child, I beseech thee, return into his body. | 3 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
-0.4789489209651947,
1.1954752206802368,
-0.2589482069015503,
-0.23946166038513184,
-0.1384345442056656,
-0.5941619277000427,
-0.3315121829509735,
0.36429351568222046,
0.06929519027471542,
-0.4171168804168701,
0.17843396961688995,
1.1937144994735718,
-1.1059231758117676,
-0.110811516642570... |
Given the task definition and input, reply with output. In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answ... | are | 5 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.13891805708408356,
0.23910287022590637,
-0.008608600124716759,
-0.058270495384931564,
-0.19455724954605103,
0.3887532651424408,
-0.037558190524578094,
-0.21064500510692596,
0.20315596461296082,
0.12498851120471954,
-0.5380210876464844,
0.24042460322380066,
0.07284258306026459,
0.77147799... |
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
Q: Breakthrough could allow potent personalised treatments which prime patients’ own immune ... Read more
A: | English | 4 | NIv2 | task1618_cc_alligned_classify_tel_eng | zs_opt | [
-0.1317024827003479,
0.24707046151161194,
0.4242650270462036,
0.016010187566280365,
0.07524170726537704,
-1.5092800855636597,
0.5974212884902954,
0.22178317606449127,
0.3305041790008545,
-0.40642082691192627,
0.05153012275695801,
0.1775442510843277,
-0.5838541388511658,
0.184057354927063,
... |
TASK DEFINITION: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve... | look around right twice and walk around right
| 8 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.464434951543808,
0.4374780058860779,
-0.5439338088035583,
0.0930841714143753,
-0.2421114146709442,
0.6777770519256592,
0.2681015133857727,
0.4791586995124817,
-0.22612938284873962,
-0.19948247075080872,
-0.6873681545257568,
-0.01602979563176632,
-0.5612752437591553,
0.22432972490787506,
... |
Part 1. Definition
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Part 2. Example
Dialogue 1: 'when did i called u ugly pony when did you ever call... | yes | 7 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.5791856050491333,
0.015315272845327854,
0.34981027245521545,
-0.7524594664573669,
-0.08446724712848663,
0.8090040683746338,
0.9700808525085449,
-0.5628030896186829,
-0.4445396065711975,
-0.5596938729286194,
0.0765717402100563,
-0.5480294227600098,
-0.28064441680908203,
0.148440912365913... |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
One example: Bob took the woman from work a cake
Solution is here: Bob took a cake to the wo... | Linda forfeited the money to the man who was wearing the hat | 6 | NIv2 | task132_dais_text_modification | fs_opt | [
-0.37825340032577515,
0.9600474834442139,
0.18147370219230652,
-0.5282787084579468,
0.11812859773635864,
-0.6531700491905212,
0.21319232881069183,
0.21011459827423096,
0.23454853892326355,
-0.7836360931396484,
-0.8649643659591675,
-0.061308953911066055,
-0.545147180557251,
-0.0974073708057... |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You h... | Yes | 2 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.22127103805541992,
0.14118921756744385,
0.24802640080451965,
-0.3644062280654907,
-0.615153431892395,
-1.027991533279419,
1.2030657529830933,
0.35348352789878845,
-0.4397314190864563,
-0.616562008857727,
-0.47535941004753113,
-0.07882076501846313,
-0.7775594592094421,
0.4544278681278229,... |
Detailed Instructions: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Problem:[38, -55, -61, -75, -40, -3, 35, 68, 51, -62,... | [38, -55, -61, -40, 35, 68, -62, 82] | 8 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
0.37913668155670166,
-0.35507699847221375,
-0.6097018122673035,
-0.5706580877304077,
0.17676234245300293,
0.5033484697341919,
1.2025139331817627,
0.05607572942972183,
-0.4086504578590393,
-0.04061450809240341,
-0.7483453154563904,
-0.10389512777328491,
-0.18762505054473877,
-0.490569353103... |
A text is given in Tamil. Translate it from the Tamil language to the English language. The translation must not omit or add information to the original sentence.
Ex Input:
நாடுமுழுவதும் பணியாற்றும் முதுநிலை இந்திய தகவல்பணி அதிகாரிகள், மத்திய தகவல் ஒலிபரப்பு அமைச்சகம், பிரஸார் பாரதி மற்றும் இந்திய மக்கள் தொடர்பு நிறுவ... | I would first like to congratulate the governing body, the Director General, employees and students of CIPET on this momentous occasion.
| 1 | NIv2 | task992_pib_translation_tamil_english | fs_opt | [
-0.3912949562072754,
-0.27172425389289856,
-0.4763868749141693,
0.5928502082824707,
0.3360503911972046,
-1.1323552131652832,
-1.093002438545227,
-0.2108858972787857,
-0.21656233072280884,
0.4805683493614197,
-0.020292261615395546,
-0.005028693005442619,
-0.20024016499519348,
-0.04119746759... |
In this task you are given a passage in Bulgarian as the input content. You are expected to generate a suitable title for the passage which accurately summarizes the contents of the passage. The input is provided in the form of a long passage comprising of multiple sentences. The output should be restricted to a maximu... | Solution: Биткойнът стана официално платежно средство в Япония :: RegNews.NET | 5 | NIv2 | task1561_clickbait_new_bg_summarization | fs_opt | [
0.85638827085495,
0.44860368967056274,
-0.7286933660507202,
-0.36085212230682373,
0.19459819793701172,
-0.5240020751953125,
1.019658088684082,
1.3419123888015747,
0.14830884337425232,
-0.22166572511196136,
-0.46303457021713257,
1.36678147315979,
0.12784694135189056,
-0.16412468254566193,
... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you shoul... | [-697, 825, 0, 245, 47, -2541, 0, 9, -33, -17493, 385, 23]
| 7 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
-0.3281216323375702,
0.3122466206550598,
-0.7739285230636597,
-0.2354707270860672,
-0.07127305865287781,
-0.3265608251094818,
0.9738225340843201,
0.60706627368927,
-0.592300534248352,
-0.1989588737487793,
-1.2353107929229736,
-0.06167202442884445,
-0.7881084680557251,
-0.3969799876213074,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | A child is jumping off the rock. | 4 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.8400468230247498,
1.1984726190567017,
0.29476308822631836,
-0.6384465098381042,
-0.33588606119155884,
-0.3232392370700836,
0.25511008501052856,
0.9454731941223145,
0.2031605988740921,
-0.8481748104095459,
-0.6522825956344604,
-0.27150142192840576,
-0.7519798278808594,
0.1618406474590301... |
Detailed Instructions: In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
See one example below:
Problem: Deserts are in extremely dry environments, so liquids will naturally be (A) rainbow (B) plentiful (C) meager (... | C | 4 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.4287823438644409,
0.7823833227157593,
-0.16469109058380127,
-0.8001037240028381,
-0.7385820150375366,
-0.6014960408210754,
0.7334249019622803,
0.7600588202476501,
-0.07221020758152008,
0.22786733508110046,
0.03869454190135002,
-0.5355046391487122,
-0.12378114461898804,
0.051478590816259... |
Given the task definition and input, reply with output. In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is... | yes | 5 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.07778680324554443,
0.40298619866371155,
-0.03415536880493164,
0.19110755622386932,
0.015267102047801018,
-0.1345309615135193,
0.11620518565177917,
-0.27068090438842773,
0.20657357573509216,
-0.020735761150717735,
-0.47274160385131836,
-0.13875749707221985,
0.05630496144294739,
-0.024043... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | US$805.85 | 6 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.6470533013343811,
0.1906687319278717,
-0.6179686188697815,
0.5811027884483337,
0.24969230592250824,
-0.620272159576416,
0.5539791584014893,
0.6303908824920654,
0.2771083116531372,
-0.11544749140739441,
0.12066580355167389,
0.2815825343132019,
-0.49497658014297485,
-0.24605347216129303,
... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
What system carries nerve impulses to interna... | limbic nervous system | 0 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
-0.15935418009757996,
0.890164852142334,
-0.15252216160297394,
0.32590439915657043,
-0.6154148578643799,
-0.7758151292800903,
0.017382461577653885,
0.3210311532020569,
-0.01392766460776329,
-0.44610273838043213,
-0.09283419698476791,
-0.5488455295562744,
-1.1174464225769043,
-0.32371121644... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Consider Input: Tweet: “@TreMelvin: hoes be like "omg i love my new comb ... | Output: false
| 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.12395179271698,
0.5179136991500854,
0.07555659115314484,
0.699099600315094,
-0.22661593556404114,
-1.101127028465271,
-0.13757529854774475,
0.46610939502716064,
0.29519402980804443,
0.028008386492729187,
-0.6077566146850586,
-0.23135414719581604,
-0.4591854214668274,
-0.9471940994262695... |
instruction:
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
question:
Article: Offerin... | No
| 9 | NIv2 | task310_race_classification | fs_opt | [
0.5184563398361206,
0.35672083497047424,
-0.4955170154571533,
0.12711505591869354,
0.6346152424812317,
-0.07619307935237885,
0.6324180960655212,
0.9368809461593628,
0.023787233978509903,
-0.04429171234369278,
-0.10045630484819412,
-0.0517331063747406,
-0.29659324884414673,
0.26734310388565... |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
[Q]: Problem: 30 square stone slabs of equal size were needed to cover a floor area of 50.7 sq . m . find the length of each stone slab ?
Options: a ) 130 cm , b ) 767 cm , c ) 88 c... | e
| 5 | NIv2 | task1423_mathqa_geometry | fs_opt | [
0.3784376084804535,
0.5701428055763245,
-0.7442365884780884,
-0.3552558422088623,
0.14178413152694702,
-0.06311759352684021,
-0.16833730041980743,
0.36618250608444214,
-0.13711145520210266,
0.38147270679473877,
0.4217044413089752,
1.1195032596588135,
-0.4654124975204468,
-0.122364193201065... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the top... | non-political | 4 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | zs_opt | [
-0.14055633544921875,
0.011592107824981213,
0.7537846565246582,
0.2272707223892212,
-0.45031988620758057,
-0.8768473267555237,
0.010878043249249458,
0.40506887435913086,
-0.4022386074066162,
0.059043705463409424,
-0.5866857171058655,
-0.020826898515224457,
-0.07273207604885101,
-0.51846289... |
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 will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'a... | sadness | 0 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.19925656914710999,
0.07915084064006805,
-0.01412156317383051,
0.005933437962085009,
-0.41536688804626465,
0.09532056003808975,
0.8582794070243835,
1.0150229930877686,
0.36121511459350586,
-0.016808807849884033,
-0.3262975811958313,
-0.09996474534273148,
0.33087655901908875,
0.6677129268... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[Q]: Tweet: Just came back from the gym... legs are sore!!! Questio... | yes
| 5 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.2292213439941406,
0.39728882908821106,
0.307296484708786,
0.31199413537979126,
-0.12717294692993164,
-0.8298676609992981,
0.3489205539226532,
0.42349350452423096,
-0.11854100227355957,
0.09488331526517868,
-0.634125828742981,
0.016942841932177544,
-0.10634450614452362,
-0.40117275714874... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
passage: Franchising is a way for small bu... | Yes | 0 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
0.17896021902561188,
-0.03441096469759941,
-0.16480949521064758,
-0.3390936553478241,
-0.10586743801832199,
0.5219780802726746,
0.1419803500175476,
0.8132511377334595,
0.05697539448738098,
0.16129422187805176,
-0.19887158274650574,
-0.17435671389102936,
0.0581878125667572,
-0.3667699396610... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
--------
Question: Begin... | 1
| 7 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.35605961084365845,
0.20691010355949402,
0.41925057768821716,
-0.25457763671875,
-0.026956621557474136,
-0.12734463810920715,
-0.4326910972595215,
1.0300897359848022,
0.13712947070598602,
0.3506825566291809,
-0.2617111802101135,
-0.25163698196411133,
-0.23857954144477844,
-0.621082663536... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Sentence 1: 2) House Judiciary Committee Chairman Henry Hyde said he has begun... | yes | 0 | NIv2 | task199_mnli_classification | zs_opt | [
-0.808958888053894,
0.09580082446336746,
0.9965981245040894,
0.25161999464035034,
0.4310879111289978,
-1.270700454711914,
0.572169303894043,
0.3445582389831543,
0.17386603355407715,
0.40492960810661316,
-0.060175444930791855,
-0.764590322971344,
-0.5151447653770447,
0.27251553535461426,
... |
Detailed Instructions: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You... | PersonX went to school today and PersonY did not because _ was feeling quite sick. | 9 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.8954989314079285,
0.16983598470687866,
0.09657511860132217,
-0.623060941696167,
0.2333756983280182,
-1.0885452032089233,
1.3704359531402588,
0.7550581097602844,
-0.41052448749542236,
-1.0246012210845947,
0.1602308452129364,
0.10753343999385834,
-0.4810184836387634,
-0.0468628890812397,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
[EX Q]: Desde la soledad hasta cubrir baches en las calles y el alcoholismo, y 32 niños y niñas evitaron 16 matrimonios infantiles en Rajasthan.
[EX A]: החל מבדידות ועד למילוי מהמורות ברחובות, לאלכוהוליזם, ו-32 ילדים שמנעו ... | עכשיו, אני חושב שזה קל מדי. אני חושב שזה קל מדי
| 6 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.4853024482727051,
0.3639698624610901,
0.1319943219423294,
-0.41600409150123596,
-0.6791115403175354,
-0.2827724814414978,
0.7746373414993286,
0.27585893869400024,
0.14666847884655,
-0.4902079701423645,
-0.5286600589752197,
0.6318421363830566,
-0.7529746890068054,
-0.07136772572994232,
... |
TASK DEFINITION: In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
PROBLEM: အိန္ဒိယ အာကာသ သုတေသန အဖွဲ့အစည်း ( အိုင်အက်စ်အာအို ) အရာရှိများ အဆိုအရ ၊ ထို ပေါ် တွင် အိန္ဒိယ အလံ ခြယ်သထားသော ၊ လ သက်ရောက်မှု စုံစမ်းစစ်ဆေးရေးအဖွဲ့ ( အမ်အိုင်ပီ ) သည် ၊ ယနေ့ည နှောင်းပိ... | As a result, Ms Bryce will head to Fromelles in France to represent Australia in a dedication ceremony and then return home, bringing her ten day trip down to five days.
| 8 | NIv2 | task538_alt_translation_bu_en | fs_opt | [
0.24034753441810608,
-0.24117335677146912,
-0.05600586161017418,
-0.012665258720517159,
0.2096714973449707,
-0.9310806393623352,
-0.04600510001182556,
-0.07440797984600067,
-0.43983131647109985,
-0.3128833472728729,
-0.3157999515533447,
-0.24780353903770447,
0.4974627196788788,
0.040334098... |
Definition: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Spanish 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 Spanish ... | “¡Qué persona curiosa!”, se dijo Marianne mientras continuaba su camino. | 2 | NIv2 | task1651_opus_books_en-es__translation | zs_opt | [
-0.7401742935180664,
0.45010095834732056,
-0.2693527638912201,
0.2954447865486145,
0.029462743550539017,
-0.4892233610153198,
1.033837080001831,
0.26158997416496277,
0.18577361106872559,
-0.43584853410720825,
0.05446908250451088,
0.4803929030895233,
-0.9222719669342041,
0.10186581313610077... |
You will be given a passage, and your task is to generate a Yes/No question that is answerable based on the given passage.
Example input: Powdered sugar, also called confectioners' sugar, icing sugar, and icing cake, is a finely ground sugar produced by milling granulated sugar into a powdered state. It usually contai... | can i carry a gun in tennessee without a permit? | 3 | NIv2 | task381_boolq_question_generation | fs_opt | [
0.0877886414527893,
0.6859753727912903,
-0.45700228214263916,
-0.4614487886428833,
0.3973795175552368,
-0.3750709891319275,
0.13329929113388062,
1.7029820680618286,
-0.32404255867004395,
0.4164866507053375,
-0.7477341890335083,
0.15077464282512665,
-0.8308182954788208,
-0.397439181804657,
... |
Part 1. Definition
In this task, given a sentence in the Malay language, and your task is to convert it into the English language.
Part 2. Example
Perdana Menteri Blair dan Canselor Brown bersetuju mengenai keperluan untuk mengekalkan penghalang nuklear.
Answer: Prime Minister Blair and Chancellor Brown agreed on the n... | Van Gogh was ambushed on an Amsterdam street and shot repeatedly in the chest before Bouyeri stabbed him and slit his throat. | 7 | NIv2 | task539_alt_translation_ma_en | fs_opt | [
-0.2905651926994324,
0.1445559561252594,
0.15555033087730408,
-0.9274698495864868,
0.861163318157196,
-0.9752418994903564,
0.8578270673751831,
0.19610175490379333,
0.5755597352981567,
-0.14212742447853088,
-0.4226558208465576,
0.3239648640155792,
-0.5779567956924438,
0.11076999455690384,
... |
Part 1. Definition
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 pass... | Is guanylin , an endogenous ligand for C-type guanylate cyclase , produced by goblet cells in the rat intestine? | 7 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.529242753982544,
0.2841241955757141,
-0.16287723183631897,
-0.05326075851917267,
0.6117491722106934,
-0.699228048324585,
0.2609284818172455,
0.5957782864570618,
-0.21196778118610382,
-0.08384087681770325,
-0.5143430233001709,
0.041457679122686386,
-1.1366486549377441,
0.3820897340774536,... |
Given the task definition and input, reply with output. In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
The burea... | not plausible | 5 | NIv2 | task391_causal_relationship | zs_opt | [
-1.2230868339538574,
0.7990033030509949,
0.7320680618286133,
0.04503984749317169,
-0.275601863861084,
-0.043613117188215256,
-0.30385538935661316,
0.5584643483161926,
0.5296440124511719,
0.22720596194267273,
-0.15509434044361115,
0.23749780654907227,
0.171685591340065,
-0.5909812450408936,... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and should... | The managers thanked the actor . | 1 | NIv2 | task1364_hans_answer_generation | fs_opt | [
-0.31964850425720215,
0.6735036373138428,
-0.16316743195056915,
0.28526797890663147,
0.4734151065349579,
0.07154040783643723,
0.16051962971687317,
0.5859383344650269,
0.6112737655639648,
-0.418679416179657,
-0.9619923830032349,
-0.38372480869293213,
0.28060591220855713,
-0.2359834164381027... |
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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ... | 33351 | 8 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
0.027919679880142212,
0.34481269121170044,
-0.4792085587978363,
-0.8027015924453735,
-0.019148489460349083,
0.0186188742518425,
0.6207297444343567,
-0.18866752088069916,
-0.45699959993362427,
0.10839243233203888,
-0.2980767488479614,
1.1132028102874756,
0.12035459280014038,
-0.427150130271... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Q: Não.
A: | לא. | 4 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
0.001936014392413199,
1.2946287393569946,
0.5354458689689636,
-0.16431093215942383,
-0.22716617584228516,
-0.1427316963672638,
0.21464690566062927,
0.16013312339782715,
0.8383868336677551,
0.15530087053775787,
0.009631768800318241,
-0.009865472093224525,
-0.8858096599578857,
-0.02885853871... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
[EX Q]: Sentence: 'a living room filled with furniture and a purple couch under a window'. How many words end with the letter 'h' in the sentence.
[EX A]: 2
[EX Q]: Sentence: 'the bed h... | 1
| 6 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.06711508333683014,
0.32571566104888916,
-0.45796725153923035,
-0.6324396133422852,
-0.22236424684524536,
-0.784622311592102,
-0.04275611788034439,
0.26798975467681885,
0.08460447192192078,
-0.7591973543167114,
-0.6310559511184692,
0.3445221185684204,
-0.05409955233335495,
-0.01731606759... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
I soldati hanno un nome per questi video. | Los soldados tienen un nombre para estos videos. | 0 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.6310786604881287,
0.2717363238334656,
-0.8206132650375366,
0.02366311103105545,
-0.5794260501861572,
-0.2748911380767822,
0.5658636689186096,
1.246229648590088,
-0.036426134407520294,
-0.8893693685531616,
0.10100121796131134,
-0.8650789260864258,
-0.4274269640445709,
0.2015586495399475,... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Example: Mas o que são direitos humanos?
Example solution: ولكن ماهي حقوق الإنسان ؟
Example explanation: The Portugese sentence is correctly translated into Arabic, because the meaning is preserved.
Problem: O que est... | Solution: ما الذي يقودُ كل ذلك إلى الإبتكار ؟ | 5 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
0.10707520693540573,
0.6108326315879822,
0.18285976350307465,
-0.39416223764419556,
-0.6978150606155396,
-0.5122483968734741,
0.7136861085891724,
0.5143851041793823,
0.3330146074295044,
-0.08797529339790344,
-1.0399930477142334,
-0.5583373308181763,
-0.8408515453338623,
0.40290892124176025... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Aunque no hay cura todavía, los avances en el tratamiento son realmente impresionantes.
Output: | Malia que non ten cura aínda, os avances no seu tratamento son realmente abraiantes. | 1 | NIv2 | task1100_ted_translation_es_gl | zs_opt | [
-0.5792228579521179,
1.1172854900360107,
-0.10530327260494232,
-0.7372214198112488,
-0.17628797888755798,
-0.7350821495056152,
0.19861379265785217,
1.1398882865905762,
-0.3299092650413513,
0.07095712423324585,
0.12223398685455322,
0.11108143627643585,
-0.20305435359477997,
0.54221183061599... |
Q: A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
આ પ્રસંગે એકત્ર જનમેદનીને સંબોધન કરતાં જણાવ્યુ હતુ કે આ બધા પ્રોજેક્ટ કનેક્ટિવિટી, ઇન્ફ્રાસ્ટ્રક્ચર, આરોગ્ય અને શિક્ષણ સાથે જોડાયેલા છે.
A: | उन्होंने कहा कि ये परियोजनाएं संपर्क, बुनियादी ढांचे, स्वास्थ्य, शिक्षा आदि के विभिन्न पहलुओं से जुड़ी हुई हैं। | 7 | NIv2 | task1033_pib_translation_gujarati_hindi | zs_opt | [
-0.43005916476249695,
0.8134175539016724,
0.6935573816299438,
-0.11193190515041351,
-0.015516554936766624,
-0.8751347661018372,
0.2797151207923889,
0.42321252822875977,
-0.20477889478206635,
-0.940610408782959,
-0.42615631222724915,
-0.06351440399885178,
-0.2871569097042084,
0.244713157415... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Q: English sentence: Intro: Oh, I love you, yeah Like no other, yeah When I see you smile you shine just like the summer, yeah Verse 1: You know that feeling when them... | Intro: Oh, a hụrụ m gị n'anya, yeah ka mba ndị ọzọ, yeah Mgbe m hụrụ gị ọchị gị na-enwu dị ka okpomọkụ, yeah Amaokwu 1: You know that feeling when them words fail It's.. . -Ezi site Njem Lee ihe | 9 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
-0.21701368689537048,
0.46415501832962036,
0.20612184703350067,
-0.32190781831741333,
0.5728168487548828,
-1.3669404983520508,
0.6486741304397583,
0.5096067190170288,
0.0314803272485733,
-0.01690392941236496,
-0.13789105415344238,
-0.9199391603469849,
-0.8132311105728149,
-0.10810720920562... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset ... | NOUN | 8 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.41725799441337585,
0.2696608901023865,
0.06967966258525848,
-0.0918588787317276,
-0.14575563371181488,
-0.44072800874710083,
0.762912929058075,
0.9228978157043457,
-0.24395644664764404,
-0.18868586421012878,
0.19131846725940704,
0.2846360206604004,
-0.5226513147354126,
0.4199125170707702... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
यह पहली बार नहीं है ... | This is not the first time employees have sued claiming mandatory attendance at "Forum" workshops violated their civil rights. | 5 | NIv2 | task433_alt_hi_en_translation | zs_opt | [
-0.4922202527523041,
0.36251431703567505,
0.7815261483192444,
-0.20609894394874573,
-0.20547398924827576,
-0.342290997505188,
0.10965988039970398,
0.3995589315891266,
-0.06324025243520737,
-0.33762669563293457,
-0.3820917010307312,
0.2914317548274994,
-0.3428124487400055,
0.237135961651802... |
Teacher:Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Teacher: Now, understand the problem? Solve this instance: What is the name of the 2002 film directed by Steven Spielberg in which Leonardo DiCaprio starred as ... | catch me if you can | 6 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
-0.4507201313972473,
0.5475199222564697,
-0.3790915310382843,
0.3875930905342102,
-1.1076990365982056,
-0.07907697558403015,
0.5745726227760315,
-0.2365482598543167,
-0.7406268119812012,
-0.3514074683189392,
-0.22368918359279633,
0.700319766998291,
-0.6364960670471191,
0.03392530977725983,... |
Detailed Instructions: Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Q: So how big of a sales tax would be required? Juneau has a 5% sales tax and brings in $43 million spread across about 30,000 residents. Expand that to the entire state and that brings ... | No | 9 | NIv2 | task1721_civil_comments_obscenity_classification | zs_opt | [
-0.3399583399295807,
0.36548179388046265,
-0.31240299344062805,
-0.023806344717741013,
0.13521108031272888,
-0.5425488948822021,
-0.10095345973968506,
1.1746777296066284,
-0.9120092988014221,
0.2899753153324127,
0.8078036308288574,
-0.11582128703594208,
-0.4226655960083008,
-0.864227056503... |
You will be given a definition of a task first, then some input of the task.
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
What group's or what session is the Scottish Parliament in?
Output: | What session is the Scottish Parliament in? | 1 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.31559187173843384,
1.2647457122802734,
-0.8445536494255066,
-0.24214522540569305,
0.18814828991889954,
-1.2222986221313477,
0.5277423858642578,
-0.570921778678894,
0.3608904778957367,
0.5229270458221436,
0.5560479164123535,
0.6043748259544373,
-0.16432970762252808,
0.45434480905532837,
... |
TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
PROBLEM: E aquí podes ver estas efixies de madeira dos antecesores, polo tanto son persoas que xa foron soterradas, xa tiveron o seu funeral.
SOLUTION: وهنا يمكنك أن ترى هذه الدمى الخشبية للأسلاف ، إذن هؤ... | على اليسار ، لدينا امرأة.
| 8 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.45754683017730713,
-0.02727680839598179,
-0.06009288132190704,
-0.7649935483932495,
-0.43720385432243347,
-0.4415496587753296,
1.2253663539886475,
0.8405267596244812,
-0.010256992653012276,
0.4391726851463318,
-0.42375582456588745,
0.1303141713142395,
-0.24372805655002594,
0.42160797119... |
instruction:
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
que... | Plants
| 9 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.12973849475383759,
1.0923452377319336,
0.08335557579994202,
0.10058679431676865,
-0.2646160125732422,
-0.7475035190582275,
0.4453708231449127,
0.6517128944396973,
-0.4642641544342041,
-0.5596685409545898,
-0.507205605506897,
-0.3133281469345093,
-1.001863956451416,
0.7755645513534546,
... |
instruction:
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creat... | Brenda walked away and now she is the saddest girl out of everyone.
| 9 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.5770072937011719,
0.7120487689971924,
-0.40973347425460815,
-0.6120238304138184,
-0.7906669974327087,
0.3528193235397339,
0.5995342135429382,
0.26089543104171753,
-0.3984437584877014,
-0.05972450599074364,
-0.5634536743164062,
0.20293182134628296,
0.15230503678321838,
-0.103007666766643... |
Teacher:In this task, you are given a paragraph in Chinese, and your task is to construct a question in Chinese from the given 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, and (iv) the answer is a continuous text span from th... | Nahui Ocelotl的意思是什么？ | 6 | NIv2 | task1569_cmrc2018_question_generation | zs_opt | [
0.9587632417678833,
0.33830657601356506,
-0.8440321683883667,
0.4376608729362488,
0.2200126200914383,
-0.8217384219169617,
-0.07782547920942307,
0.4775766134262085,
-0.42434749007225037,
0.12323112785816193,
-0.3843013644218445,
-0.013763751834630966,
-0.3149401843547821,
-0.14736503362655... |
Definition: In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: आज घोषित किए गए अनुसार हमारी स्वास्थ्य प्रणाली को अधिक गंभ... | There could not be a more serious threat to our health system than has been announced today. | 2 | NIv2 | task433_alt_hi_en_translation | zs_opt | [
0.21661069989204407,
0.524662971496582,
0.6361819505691528,
0.05846446007490158,
-0.11090368777513504,
-0.551916778087616,
0.17373156547546387,
0.5529911518096924,
-0.05753364413976669,
-0.3529183566570282,
-0.5072762966156006,
0.23788779973983765,
-0.26934534311294556,
0.01671675033867359... |
Instructions: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Input: Article: (This selection was originally pub... | On Pluto's surface, liquid methane boils to form an atmospheric haze, which would be most similar to _ . | 3 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.3755353093147278,
0.37596824765205383,
-0.4681077301502228,
-0.015469449572265148,
-0.2050112783908844,
-0.6995958685874939,
0.3298799395561218,
0.748837947845459,
0.7028419971466064,
-0.2592259645462036,
-0.2856748700141907,
0.6850794553756714,
-0.6546875238418579,
-0.11304681748151779,... |
Given the task definition, example input & output, solve the new input case.
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 ... | Non-threat | 1 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.4766464829444885,
0.7426593899726868,
0.8085260391235352,
0.5955839157104492,
0.22357556223869324,
-0.6709226965904236,
0.974375307559967,
0.7898889780044556,
0.044016845524311066,
0.36749157309532166,
0.25245895981788635,
0.21876920759677887,
-0.45458781719207764,
-0.8700923919677734,
... |
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
[Q]: During the early paleozoic, the amount of carbon dioxide in the atmosphere was much greater compared to today.
[A]: During the early paleozoic, the amount of carbon dioxide in the atmosphere compared ... | What are genes composed of?
| 5 | NIv2 | task1552_scitail_question_generation | fs_opt | [
-0.001736162230372429,
0.8868547081947327,
-0.5082523226737976,
-0.5763287544250488,
-0.570038914680481,
-2.2617506980895996,
0.24625761806964874,
0.7153290510177612,
-0.03518906235694885,
0.2532208561897278,
-0.3166996240615845,
-0.47102034091949463,
-0.8635786771774292,
-0.14086845517158... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
One example: Sentence 1: The sum of all... | entails | 6 | NIv2 | task1554_scitail_classification | fs_opt | [
0.37357911467552185,
0.3358442485332489,
-0.1099562793970108,
0.19346046447753906,
-0.16590450704097748,
-1.040024995803833,
-0.5049271583557129,
0.709367036819458,
-0.14919710159301758,
-0.3665788173675537,
-0.8614111542701721,
-0.6414873600006104,
-0.4481012225151062,
-0.2424917519092559... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | #1 return needles
#2 return spoon
#3 return the number of #1
#4 return the number of #2
#5 return if #3 is equal to two
#6 return if #4 is equal to one
#7 return if both #5 and #6 is true
| 1 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.818485677242279,
-0.145441934466362,
-0.9631881713867188,
0.7148746252059937,
0.20213760435581207,
-0.4922534227371216,
1.2257046699523926,
0.24646073579788208,
-0.32092419266700745,
0.5931923985481262,
-0.5732548832893372,
0.043357569724321365,
0.12436890602111816,
0.41898685693740845,
... |
You are given a target person and two sentences. Your task is to determine whether the second sentence conveys either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an ... | anti-stereotype | 6 | NIv2 | task318_stereoset_classification_gender | fs_opt | [
-0.10494677722454071,
0.4169594645500183,
-0.199063241481781,
0.3816854953765869,
-0.12178900837898254,
-0.085719034075737,
0.4042021930217743,
0.567737877368927,
0.5909667611122131,
-0.07056784629821777,
-0.30623018741607666,
-0.4621814489364624,
-1.114932894706726,
-0.1912652552127838,
... |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
One example: [[5, 3... | [63, -77, 72, 51, 90, 98] | 6 | NIv2 | task207_max_element_lists | fs_opt | [
0.04865550249814987,
0.1519738882780075,
-0.7342849969863892,
0.4285585284233093,
0.22526530921459198,
-0.047446999698877335,
0.6092636585235596,
0.8189563751220703,
0.08712755888700485,
-0.2678457498550415,
-0.21177750825881958,
0.21374809741973877,
0.010060415603220463,
-0.14236077666282... |
This task is about translating a given French language sentence to English.
[EX Q]: It's your decision.
[EX A]: It's your decision.
[EX Q]: Non, c'est même pas le travail. Non, la seule richesse, la seule chose qui soit capable de créer de la richesse, c'est notre travail ça c'est sûr.
[EX A]: No, the only wealth, th... | Therefore, each Jew would be able to come and take the manna from within these layers and enjoy clean, pure manna.
| 6 | NIv2 | task1690_qed_amara_translation | fs_opt | [
0.36590832471847534,
0.925295352935791,
0.4444007873535156,
0.2493642419576645,
-0.5280287265777588,
-1.0147428512573242,
0.04252579063177109,
0.663603663444519,
0.11523279547691345,
0.07572472095489502,
-0.0798722505569458,
-0.16023433208465576,
0.18580541014671326,
-0.6467524170875549,
... |
instruction:
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse t... | Al15327604b
| 9 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
0.2952456474304199,
0.07207226008176804,
-0.8204410076141357,
-0.46593302488327026,
-0.2648940086364746,
-0.2500093877315521,
1.048816204071045,
0.22287017107009888,
-0.8231234550476074,
0.33765166997909546,
-0.7867337465286255,
0.08423273265361786,
-0.18946079909801483,
-0.060603737831115... |
Given the task definition and input, reply with output. In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Article... | The main reason for Youku.com Inc and Tudou Holdings Ltd to merge is that _ . | 5 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.2541569769382477,
0.23139239847660065,
-0.16378241777420044,
-0.23322734236717224,
0.6718418598175049,
0.7218682169914246,
-0.1041521430015564,
1.1138811111450195,
-0.6021899580955505,
0.15610454976558685,
0.18902382254600525,
0.3702394664287567,
-0.22450751066207886,
-0.2415573596954345... |
Given the task definition and input, reply with output. In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
It really didn't take as long as i thought it would . We were home by 2:00 , and i was happy to enjoy the rest of m... | What does the grandpa do after the party ? | 5 | NIv2 | task596_mocha_question_generation | zs_opt | [
-0.33152469992637634,
0.9684255123138428,
0.04762580245733261,
0.05321253463625908,
-0.4211464822292328,
-0.3177066445350647,
0.5669666528701782,
0.5730290412902832,
0.27487605810165405,
-0.24516110122203827,
-0.3606245517730713,
0.4222218990325928,
-0.5963281393051147,
0.41965553164482117... |
Given the task definition and input, reply with output. In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous... | Com defineixen els bisbes espanyols el matrimoni? | 5 | NIv2 | task836_viquiquad_question_generation | zs_opt | [
0.5564095973968506,
0.5511397123336792,
-0.2896244525909424,
0.1909295916557312,
-0.45120757818222046,
-0.526045560836792,
0.7562140226364136,
0.7685402631759644,
-0.3525660037994385,
-0.12949877977371216,
-1.465574860572815,
0.5611553192138672,
-0.45432138442993164,
-0.25232207775115967,
... |
In this task, you are given two sets, and you need to count the number of elements at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are common to both ... | 1 | 6 | NIv2 | task243_count_elements_in_set_intersection | fs_opt | [
0.6664044260978699,
-0.1607382893562317,
-0.6427152156829834,
-0.006286931224167347,
0.16903717815876007,
-0.13592325150966644,
0.3824846148490906,
0.01889953948557377,
0.16411373019218445,
-0.4640555679798126,
-0.9779572486877441,
-0.5147886872291565,
0.17949406802654266,
-0.1472608149051... |
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, finding remainders/GCD/LCM,... | 5
****
| 4 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.3109695315361023,
0.19776438176631927,
-0.022046927362680435,
-0.5498629808425903,
-0.0733649879693985,
-0.19538074731826782,
0.8179122805595398,
0.33458420634269714,
-0.1646115630865097,
-0.9117101430892944,
-0.9523140788078308,
0.6690465211868286,
-0.5449063777923584,
-0.1129334494471... |
Detailed Instructions: In this task, you will be presented with a question having multiple possible answers in Chinese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Problem:Question: 西蒙买了一头牛，因为他想把它用于工作。 他不想吃肉了。 西蒙可能会把牛带到哪里去？
Options: ... | E | 8 | NIv2 | task1141_xcsr_zh_commonsense_mc_classification | zs_opt | [
-0.549517035484314,
0.11758269369602203,
0.2248208373785019,
-0.03612988442182541,
0.15400472283363342,
-0.41287267208099365,
-0.32075148820877075,
0.9389870166778564,
0.5887054204940796,
0.31147199869155884,
0.19864268600940704,
0.6054306030273438,
-0.33879464864730835,
-0.321829676628112... |
Teacher:In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Te... | No | 6 | NIv2 | task227_clariq_classification | zs_opt | [
-0.3786478042602539,
0.07221679389476776,
0.09884871542453766,
0.47433438897132874,
-0.13641971349716187,
-0.8135165572166443,
0.5276826620101929,
0.7376598715782166,
0.2656446695327759,
0.3864082098007202,
0.676828145980835,
-0.45294710993766785,
-0.3132855296134949,
-0.14882683753967285,... |
Teacher:Given a scientific passage and an answer, generate a question for the given answer.
Teacher: Now, understand the problem? Solve this instance: Passage: Most animals are capable of learning, but animals that are more intelligent are better at learning and depend more on learned behaviors. The big advantage of le... | What type of behavior has the advantage of being flexible and capable of changing to suit changing conditions? | 6 | NIv2 | task594_sciq_question_generation | zs_opt | [
-0.6498854756355286,
1.0733500719070435,
-0.09547225385904312,
-0.32698842883110046,
-0.32787346839904785,
-0.6356267929077148,
0.16649401187896729,
0.6889795064926147,
0.47321292757987976,
-0.8582167625427246,
-0.5736713409423828,
-0.21643877029418945,
-1.15324068069458,
0.086689561605453... |
Given the task definition and input, reply with output. This task is about translating a given Yoruba language sentence to English.
Ẹgbẹ́ ẹni kì í wọ́n láyé ká wá a lọ sọ́run.
| One does not upon failing to find suitable company in this world go looking in heaven. | 5 | NIv2 | task1686_menyo20k_translation | zs_opt | [
0.21410644054412842,
1.4419362545013428,
-0.04997866973280907,
0.09153516590595245,
-0.20928102731704712,
0.1527160108089447,
-0.11650644242763519,
0.08871854096651077,
0.2657995820045471,
-0.19169849157333374,
-0.14444327354431152,
0.03595229983329773,
-0.5126921534538269,
0.1832778751850... |
instruction:
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
question:
name a downside to getting a tattoo.
answer:
permanent
question:
name something shaquille o'neal probabl... | low pay/salary
| 9 | NIv2 | task820_protoqa_answer_generation | fs_opt | [
-0.6448677182197571,
1.5113962888717651,
-0.46976378560066223,
0.039349645376205444,
-0.034503765404224396,
-0.8763623237609863,
0.5475350618362427,
0.21534043550491333,
0.18663358688354492,
0.46230942010879517,
0.5115180611610413,
0.02126379869878292,
-0.032393649220466614,
-0.24943511188... |
Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
One example: At least Raheem Morris finally has the name of the Bucs' starting quarterback in the back of his mind.
He wants to make sure he ... | Chris Kennedy | 6 | NIv2 | task419_persent_answer_generation | fs_opt | [
-0.16023731231689453,
0.9161710739135742,
0.013417482376098633,
0.008229749277234077,
-0.10874295979738235,
-0.25404271483421326,
0.9006485342979431,
1.0791380405426025,
-0.28542056679725647,
0.20243670046329498,
0.06411120295524597,
0.7820981740951538,
-0.661756157875061,
0.11878634989261... |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 51. | 6 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.5904640555381775,
0.5988847017288208,
-0.20799188315868378,
-0.19979619979858398,
0.1989913284778595,
-0.74930739402771,
0.734602689743042,
0.5456482172012329,
0.11163628101348877,
-0.14701148867607117,
-0.6166449189186096,
0.2943877577781677,
-0.9306187033653259,
0.06803101301193237,
... |
Detailed Instructions: 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.
Q: Comment: Natural law must include rational i... | Sexual-explicit | 9 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-1.3444907665252686,
0.04955993965268135,
0.7885006070137024,
-0.4508000612258911,
-0.24742433428764343,
-0.11334328353404999,
-0.4108847379684448,
0.14432495832443237,
0.021737517789006233,
0.3758247494697571,
-0.0959140956401825,
-0.3743130564689636,
-0.3415149748325348,
-1.0586073398590... |
Definition: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: 反対派による闘争を終結しようとするバッシャール・アル＝アサド・シリア大統領支持をヒズボラが支持し反対派に対し派... | Syrian rebels have threatened retaliation against the Hezbollah group for sending fighters to assist Syrian President Bashar al-Assad, who is fighting to end a revolt against his rule. | 2 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.3013356328010559,
0.06064314767718315,
0.506117582321167,
-0.23587659001350403,
0.13367384672164917,
-0.20028050243854523,
0.7826635837554932,
0.5730412006378174,
0.5570805072784424,
0.05038432404398918,
-0.7482244372367859,
0.09424276649951935,
-0.5747388005256653,
0.12387801706790924,... |
The provided file includes inquiries about restaurants in Japanese, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking fo... | what is the rating of " olive garden " ? | 0 | NIv2 | task262_spl_translation_ja_en | zs_opt | [
-0.5284202098846436,
0.4001225233078003,
0.14925517141819,
-0.039263635873794556,
-0.004197194240987301,
-0.6131802797317505,
1.039363980293274,
0.18336904048919678,
-0.4406185746192932,
-0.5161755084991455,
0.38543063402175903,
0.146762877702713,
-0.468901664018631,
0.6328619718551636,
... |
Given the task definition and input, reply with output. 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 additio... | weakener | 5 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.5772454738616943,
0.6930923461914062,
0.10389528423547745,
0.36100804805755615,
0.13669024407863617,
-0.4393270015716553,
0.878145694732666,
0.7421794533729553,
0.530663251876831,
-0.6965733766555786,
-1.456059217453003,
-0.03246798366308212,
-0.30946072936058044,
0.007414116058498621,
... |
Detailed Instructions: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed ... | PersonX took a trip and went to visit PersonY's home in Asia because _ wanted to travel to another country. | 9 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.6791874170303345,
0.5594792366027832,
-0.011534961871802807,
-0.09784135222434998,
-0.11404236406087875,
0.0425795242190361,
0.1911591738462448,
0.5300059914588928,
0.06668946146965027,
-0.5697541236877441,
0.3340975046157837,
-0.10769535601139069,
0.01077396422624588,
0.2503927052021026... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ'... | PUNCT
| 7 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.9881753921508789,
0.2914154529571533,
-0.1193094551563263,
0.0176229365170002,
-0.05200447142124176,
-0.9576701521873474,
0.6789328455924988,
0.6531534790992737,
-0.5213273763656616,
-0.0716945230960846,
-0.3825729489326477,
-0.030694052577018738,
-0.6437309980392456,
0.6092979907989502,... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
[Q]: ['i', 'E', 'L', 'J', 'M', '2041', '8875', '7461', '3139', 'L', '7503']
[A]: 2041, 8875, 7461, 3139, 7503
[Q]: ['6167', 'q', 'c', '2027', 'c', '1907', 'J', '... | 7855, 2899, 6427, 1591, 9533, 4983, 5761, 713
| 5 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.3035443425178528,
0.7814849615097046,
-0.552955150604248,
-0.5921996831893921,
-0.5070587992668152,
-0.2504720091819763,
0.12681299448013306,
-0.062017738819122314,
-0.6407713890075684,
0.38106441497802734,
-0.8594211935997009,
0.33257725834846497,
-0.11864002048969269,
0.28851839900016... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Example Input: "Idziesz czy nie?"
Example Output: 「来るの ？ 来ないの ？ 」
Example Input: Został złapany przez oddanych, pomysłowych, genialnych ludzi przy współudziale różnych technologii.
Example Output: 人工知能ではなく様々な技術に助けられた優秀で機略に... | みなさんは毎日の通勤のため平均して 52分もの時間を道路の上で無駄にしています
| 3 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
-0.9969042539596558,
0.250251829624176,
-0.3484266698360443,
0.025207433849573135,
-0.223635733127594,
-0.5700845718383789,
0.6206223368644714,
-0.2904537618160248,
-0.04896616190671921,
-0.22865496575832367,
-0.2040448784828186,
0.2970333397388458,
-0.10462895780801773,
0.2201407551765442... |
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.
[EX Q]: Unfortunately, I don... | assistant
| 6 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.4273480474948883,
0.5324053168296814,
-0.5368748307228088,
-0.49273377656936646,
-0.6811148524284363,
0.21464715898036957,
1.1102346181869507,
-0.14863473176956177,
0.983884871006012,
-0.6168612241744995,
-0.40872079133987427,
-0.3630934953689575,
-0.27606886625289917,
0.138789385557174... |
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... | Output: select the rows whose result record fuzzily matches to re elected . the number of such rows is 9 .
| 2 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.2583450675010681,
-0.2697770297527313,
-0.2735588550567627,
-0.044712603092193604,
0.10709337890148163,
-0.43238765001296997,
0.5095905065536499,
0.34918856620788574,
0.27883172035217285,
-0.16918756067752838,
-0.5728431344032288,
-0.057883936911821365,
0.1972995400428772,
0.572288930416... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: Consider Input: Reprieve, a UK-based human right organization that opposes the death penalty, has been working on Shafqat's case for years:
Output: مهلت یک موسسه حقوق بشری با دفتر مرکزی واقع در انگلستان است که مخا... | Output: این ویدئو به شدت احساس من را بر انگیخت.
| 2 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.2505451440811157,
0.07837844640016556,
0.5051599740982056,
-0.784042477607727,
-0.08633545786142349,
-0.45489072799682617,
1.203240156173706,
0.2839304208755493,
0.47381606698036194,
-0.029507944360375404,
-0.485276997089386,
-0.24714010953903198,
-0.6314311623573303,
0.3206284940242767... |
Detailed Instructions: In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Q: Review: I use these to store diy mascara and eyelash/brow serum and they work just fine. No muss, no f... | True | 9 | NIv2 | task1313_amazonreview_polarity_classification | zs_opt | [
-0.23150363564491272,
-0.29366397857666016,
0.46026867628097534,
-0.31660717725753784,
0.2560921609401703,
-1.1111881732940674,
0.5337475538253784,
0.39040565490722656,
0.6623827219009399,
0.28755003213882446,
-0.5409674048423767,
0.21179667115211487,
-0.05543430894613266,
-0.6485035419464... |
In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related... | Yes.
****
| 4 | NIv2 | task057_multirc_classify_incorrect_answer | fs_opt | [
0.4713122844696045,
0.5598125457763672,
-0.2651252746582031,
0.3210434913635254,
0.20803198218345642,
-0.49205535650253296,
0.44775134325027466,
1.0001940727233887,
0.18008176982402802,
0.03711901605129242,
-0.19039945304393768,
0.62106853723526,
-0.6688218116760254,
-0.226031094789505,
... |
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