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 |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Problem:Women are _ times as likely as men to run a household alone.
Solution: | three | 8 | NIv2 | task672_nummersense | zs_opt | [
0.4124210476875305,
1.269770860671997,
-0.27256327867507935,
-0.5005882978439331,
-0.32770395278930664,
-0.04113548994064331,
-0.03859469294548035,
1.0996143817901611,
0.9754672050476074,
-0.0938691720366478,
-0.811244547367096,
0.1642003357410431,
-0.35965588688850403,
-0.2172715663909912... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
And it contains 18 free parameters, OK, which we have to fit to the data.
A: | و تحوي ثماني عشرة عامل حر حسنا, و الذي يجب أن يناسب البيانات | 7 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
0.10291945934295654,
-0.017867039889097214,
-0.5474373698234558,
-0.8548505306243896,
0.21144437789916992,
-1.030733585357666,
0.8391748666763306,
-0.31585192680358887,
1.1776447296142578,
0.1412249207496643,
-0.5625463724136353,
-0.3219391703605652,
-0.04105224460363388,
-0.14391404390335... |
Detailed Instructions: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Problem:What happened in the first half of the century?, Context: In 1941, the General Anaya borough was merged to the Central Department, which was then renamed "Mexico City"... | the General Anaya borough was merged to the Central Department, which was then renamed "Mexico City" | 8 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.13878971338272095,
0.2536402642726898,
0.011311663314700127,
0.21552255749702454,
-0.2198202908039093,
0.3654645085334778,
0.7450993061065674,
0.3840947449207306,
0.5687673687934875,
-0.4674385190010071,
-0.29731231927871704,
-0.39631298184394836,
-1.566344976425171,
0.1933215707540512,
... |
Definition: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains informa... | 2 | 2 | NIv2 | task1541_agnews_classification | zs_opt | [
-1.0240507125854492,
-0.09577974677085876,
-0.002031902549788356,
0.5085653066635132,
0.15217722952365875,
-0.21758848428726196,
-0.640768826007843,
0.34119564294815063,
-0.3706458508968353,
0.409930557012558,
-0.7172533273696899,
0.08966545760631561,
0.09702226519584656,
-0.40583989024162... |
Teacher: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Teacher: Now, understand the problem? If you are still conf... | 1 | 2 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.6384432315826416,
-0.3236294984817505,
-0.4223037660121918,
-0.2797703742980957,
0.2947382628917694,
-0.4510156512260437,
-0.6239584684371948,
1.0777150392532349,
-0.35592687129974365,
-0.27972251176834106,
0.09556618332862854,
-0.3212854266166687,
0.05932019278407097,
-0.926367044448852... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Example input: Question: When did the operation during which th... | 2 | 3 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.0952131599187851,
0.27793583273887634,
-0.5668768882751465,
0.14659926295280457,
0.4535829424858093,
-0.10610856115818024,
0.6420325040817261,
1.199783444404602,
0.15854451060295105,
0.20480892062187195,
-0.16939516365528107,
0.2699306905269623,
-0.4347333312034607,
-0.05674341693520546,... |
Part 1. Definition
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' ... | No | 7 | NIv2 | task227_clariq_classification | fs_opt | [
-0.10161635279655457,
0.5616776943206787,
-0.08485381305217743,
-0.3079378008842468,
-0.11904530227184296,
-0.6811763048171997,
0.9405680894851685,
0.06078281253576279,
0.538621723651886,
-0.9262269735336304,
0.4725084900856018,
-0.143562451004982,
-1.2954127788543701,
0.15553709864616394,... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Input: In doing so the police should rely on and develop partnership links with other bodies , both statutory and voluntary , through organisations su... | ऐसा करने में पुलिस को ंआषीं ग्रुपस और रेसियल इक्वैलिटी काउंसिल जैसे संगठनों के माध्यम से , कानूनी और स्वैच्छिक , दोनो तरह की अन्य संस्थाओं का सहारा लेना चाहिए और उनके साथ साझीदारी बनानी चाहिए | 2 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
0.12095799297094345,
-0.09478303790092468,
0.21039143204689026,
0.05421551316976547,
-0.09941655397415161,
-0.2570161521434784,
0.03175048530101776,
0.217765673995018,
-0.4206123948097229,
0.12806569039821625,
-1.2476868629455566,
0.13996174931526184,
-0.6121622323989868,
0.388054460287094... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | warm-blooded creatures control their body temperature by sweating or panting for survival. | 6 | NIv2 | task038_qasc_combined_fact | fs_opt | [
-0.020966704934835434,
0.543516218662262,
-0.8330562114715576,
0.46579596400260925,
-0.5718218684196472,
-1.4722299575805664,
-0.5238555073738098,
0.8765628933906555,
-0.6291052103042603,
-0.13035142421722412,
-1.1775000095367432,
0.44479766488075256,
-0.27693724632263184,
0.03944592922925... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
One example: Says the Annies List politica... | immigration | 6 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.19032719731330872,
0.2587012052536011,
0.08788154274225235,
-0.2010003626346588,
-0.5020009875297546,
-0.5066359043121338,
0.8469777703285217,
-0.03552548214793205,
-0.01821228675544262,
0.21903949975967407,
-0.8426774144172668,
0.5633938908576965,
-0.5789433717727661,
-0.004146865103393... |
Teacher: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Teacher: Now, understand the problem? If you are still confused, see the following e... | Just the top hits. Know of any vegan restaurants near here? | 2 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.12830668687820435,
-0.022444725036621094,
-0.7984857559204102,
-0.27164947986602783,
-0.08183559775352478,
-0.13691025972366333,
0.9538613557815552,
0.5057761073112488,
-0.4946267008781433,
-0.08514052629470825,
0.14697490632534027,
0.23055163025856018,
-0.5555709004402161,
-0.3661276698... |
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.
Q: Comment: The reality of it is the core funding... | Non-threat | 4 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.6237543225288391,
1.2699910402297974,
0.7316110134124756,
-0.28198564052581787,
-0.19517499208450317,
-0.18615925312042236,
1.0514624118804932,
1.533738136291504,
0.2967655658721924,
0.11598161607980728,
-0.17142879962921143,
0.5216017365455627,
-0.5445728302001953,
-0.7824312448501587,... |
Teacher: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instanc... | True | 2 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
-0.2294018715620041,
0.3316139578819275,
0.22827865183353424,
0.35064542293548584,
-0.3193838596343994,
-1.3217214345932007,
0.19169816374778748,
0.7914170026779175,
-0.3429945111274719,
-0.32475608587265015,
-0.2879931628704071,
-0.09983962774276733,
-0.5961705446243286,
-0.07463254034519... |
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then retur... | None | 6 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
0.5983081459999084,
0.32051587104797363,
-0.18117883801460266,
0.25252753496170044,
-0.22488349676132202,
-0.13193988800048828,
0.7128055095672607,
-0.23643359541893005,
0.7280915975570679,
-0.5774487853050232,
-0.7244716882705688,
0.6402359008789062,
-0.09638050198554993,
0.35657393932342... |
Definition: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Input: Tweet: @anonymized_account mam taką zasade że do ludzi których nie szanuje nie mówie na pan.Przykro mi. , Question: Is the tweet free of any cyberbullying (harmful) content?
Output: | Yes | 2 | NIv2 | task839_cdt_classification | zs_opt | [
-1.4935169219970703,
1.1334941387176514,
0.23692061007022858,
0.41310855746269226,
-0.6794131398200989,
-0.8683401346206665,
1.388893961906433,
-0.7467697858810425,
0.3391656279563904,
0.18473947048187256,
-0.5027903318405151,
0.4119454622268677,
-0.9870931506156921,
-0.2996007800102234,
... |
Definition: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Input: Context: Jesse got a ride to the prom with a boy.
Answer: popular
Output: | How would Jesse feel afterwards? | 2 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
0.05012257769703865,
1.0100290775299072,
0.06335903704166412,
-0.3411790132522583,
0.030092528089880943,
0.08926117420196533,
-0.44315850734710693,
0.10910027474164963,
0.671911358833313,
0.015002976171672344,
-0.763907790184021,
0.9485501646995544,
-0.4231204390525818,
0.03011338785290718... |
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few ... | To promote the new wireless network . | 9 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
-0.1248050332069397,
0.685890793800354,
-0.2387126386165619,
0.4024205207824707,
-0.1831008493900299,
-0.07289257645606995,
0.5459913611412048,
0.608987033367157,
0.34049123525619507,
-0.10305677354335785,
-0.16541951894760132,
0.8184381723403931,
-0.973292887210846,
-0.20308564603328705,
... |
Detailed Instructions: In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Problem:سر آیزاک نیوتن ریاضیدان، فیزیکدان، اخترشناس، متخص... | True | 8 | NIv2 | task396_persianqa_classification | zs_opt | [
-0.3174293041229248,
0.27537375688552856,
-0.00025108642876148224,
-0.1012319028377533,
-0.6535535454750061,
0.07760709524154663,
1.039074420928955,
0.050575125962495804,
0.5805621147155762,
-0.06381185352802277,
-0.8895330429077148,
0.834399938583374,
-0.6749727725982666,
0.21472361683845... |
Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: with plenty of servants, so I never need work a bit.
Output: | با مستخدمان فراوان بهطوری که هیچوقت خودم مجبور نباشم یک ذره هم کار کنم. | 3 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
-0.7071046233177185,
0.747698187828064,
-0.9122072458267212,
0.13437822461128235,
-0.3331986665725708,
-0.2507432699203491,
-0.011284403502941132,
0.550622284412384,
0.7234776020050049,
-0.06048201024532318,
0.07355866581201553,
0.2179318368434906,
-0.013606967404484749,
-0.433463037014007... |
Given the task definition and input, reply with output. Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded ... | He would be upset they are broken . | 5 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
-0.1908472776412964,
0.7105758190155029,
0.5963683128356934,
0.657538890838623,
0.5346008539199829,
-0.3052601218223572,
0.18345490097999573,
0.8372970819473267,
-0.5859241485595703,
0.3687271773815155,
-0.6575973033905029,
-0.17218178510665894,
-0.577426552772522,
-0.359066367149353,
0.... |
In this task, you need to count the number of nouns/verbs in the given sentence.
--------
Question: Sentence: 'a small girl in a white shirt sitting on a elephant statue'. Count the number of nouns in this sentence.
Answer: 4
Question: Sentence: 'Luggage coming down a carousel at an airport'. Count the number of ve... | 6
| 7 | NIv2 | task155_count_nouns_verbs | fs_opt | [
-0.14948268234729767,
1.0397170782089233,
-0.6238632202148438,
-0.21459054946899414,
-0.29290467500686646,
0.025309070944786072,
0.3274635672569275,
0.2624272108078003,
-0.20802927017211914,
-0.20974409580230713,
0.08341621607542038,
0.14471878111362457,
-0.3170388638973236,
0.479172408580... |
You will be given a definition of a task first, then some input of the task.
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and ... | Response 2 | 1 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.23765572905540466,
0.8891899585723877,
0.829830527305603,
-0.3495160937309265,
0.3229783773422241,
-0.7517515420913696,
0.13151144981384277,
0.373890221118927,
-0.1891699731349945,
-0.4330265522003174,
-0.10860216617584229,
-0.5563998222351074,
-0.63454270362854,
0.19559630751609802,
0... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Poi ho riconsiderato la cosa pensando, magari il dono va a finire ai neo nazisti.
Output: | אז חשבתי ללכת בכיוון ההפוך, אוכל לתת את הכסף לנאו-נאצים. | 1 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.3449667692184448,
0.24036771059036255,
0.24443937838077545,
0.7701443433761597,
-0.3636660575866699,
0.1573273092508316,
0.7257020473480225,
0.9657622575759888,
0.7516112923622131,
0.1976168304681778,
-0.3744795322418213,
-0.2164478302001953,
-0.4737108051776886,
-0.06132414564490318,
... |
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, slate, telephone, travel, v... | N
| 5 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-1.0527536869049072,
0.5834665298461914,
-0.051272742450237274,
-0.4022315740585327,
0.11822189390659332,
0.15842904150485992,
0.15916240215301514,
0.8116253614425659,
-0.019627228379249573,
0.1866966187953949,
-0.4344853162765503,
0.3277745246887207,
-0.6708692312240601,
-0.22322666645050... |
Detailed Instructions: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (whereve... | No | 4 | NIv2 | task356_casino_classification_negotiation_self_need | fs_opt | [
0.3998655080795288,
0.46407637000083923,
-0.4710250496864319,
-0.09508277475833893,
-0.5361452102661133,
-1.1283721923828125,
0.7468634247779846,
0.44772541522979736,
-0.4941798448562622,
0.370984822511673,
0.3863052725791931,
-0.08487705886363983,
-1.0420691967010498,
0.2064289152622223,
... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
PROBLEM: ברגע שיש לנו שפה, אנחנו יכולים לנסח רעיונות ולשתף פעולה בכדי להשיג שגשוג כמוהו לא יכולנו לקבל לפני שרכשנו את השפה.
SOLUTION: Unha vez que temos a linguaxe, podemos compartir as nosas ideas e cooper... | YV: Todos os días.
| 8 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.12065359950065613,
1.1351861953735352,
0.2511378824710846,
-0.26318359375,
-0.06533853709697723,
-0.561018705368042,
0.586753249168396,
0.3720898926258087,
0.11183769255876541,
-0.38114607334136963,
-0.17257562279701233,
0.2571713626384735,
-0.841116726398468,
0.20157106220722198,
0.4... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
[Q]: Lo que hacemos, mis estudiantes y yo, en mi laboratorio, es que compramos Barbies de Goodwill y de Value Village, la vestimos en ropa que está hecha por costureras, y la mandamos al mundo con un manual del dosel forest... | لكن ذلك لا شيئ بالمقارنة بما سوف يحدث مستقبلا في الامم التي تنمو سريعا
| 5 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
-0.4835394620895386,
0.3052719831466675,
-0.14535939693450928,
-0.46077510714530945,
-0.6793700456619263,
0.008435315452516079,
0.22889038920402527,
0.6638938784599304,
-0.023710614070296288,
-0.32647716999053955,
-0.8315958380699158,
0.4525013566017151,
-0.35544535517692566,
-0.0745217278... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Example: (Śmiech) Opublikował wiele filmów o przyrodzie.
Example solution: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Example explanation: The Polish sentence is correctly translated into Italian, becau... | Solution: Ha un legame doppio e ha un alcol all'estremità, ecco perché "" olo "", ecco perché si chiama cis-3-esanolo. | 5 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-1.3031021356582642,
0.4620724022388458,
-0.08461044728755951,
-0.11479827016592026,
-0.6856284141540527,
0.3087466359138489,
0.7134475708007812,
-0.09113016724586487,
-0.36614590883255005,
-0.7070990800857544,
-0.951913058757782,
0.23349733650684357,
-0.4868636131286621,
0.419416308403015... |
Teacher:In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Teacher: Now, understand the problem? Solve this instance: Sentence1: Randy spent almost an hour cle... | And nobody else wanted to help. | 6 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.15883539617061615,
0.9555960893630981,
0.2512783408164978,
-1.182558298110962,
-0.24491100013256073,
-0.8811815977096558,
0.462740957736969,
0.15672510862350464,
-0.25224849581718445,
0.05400092154741287,
-0.2500959038734436,
-0.3176174461841583,
-0.6561232805252075,
-0.3104247152805328... |
Part 1. Definition
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Part 2. Example
PPdQTlHHTJEe, DydQTlHHVnmlLu
Answer: dQTlHH
Explanation: Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe' and 'DydQTlHHVnmlLu'.
Part 3. Exerci... | Hcpnycng | 7 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
0.11387215554714203,
1.3505022525787354,
-0.4178835153579712,
-0.7335385084152222,
-0.36132413148880005,
-0.6866074800491333,
0.6877458095550537,
-0.5541317462921143,
0.004245369229465723,
-0.20814448595046997,
-0.9114745855331421,
-0.45557525753974915,
-0.22938257455825806,
0.399990439414... |
A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
انہوں نے بحر عرب میں ممبئی کے ساحل پر شیواجی میموریل کا سنگ بنیاد رکھا ۔ | அரபிக் கடலில் மும்பை கடலோரப் பகுதியின் சிவாஜி நினைவிடத்திற்கு அவர் அடிக்கல் நாட்டியுள்ளார். | 0 | NIv2 | task1036_pib_translation_urdu_tamil | zs_opt | [
0.3609292805194855,
0.7965113520622253,
-0.13701948523521423,
-0.32072770595550537,
-0.1528616100549698,
-0.49364417791366577,
0.5585101842880249,
-0.03159293159842491,
0.6504855155944824,
-0.31056997179985046,
0.6014182567596436,
-0.5343236327171326,
-0.7613437175750732,
0.303564637899398... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Q: Ciò suggerisce che da qualche parte tra quei geni, nel DNA, vi siano dei geni legati all'invecchiamento, geni che regolano le differenti aspettative di vita.
A: | E isso sugere que algures nesses genes, algures no ADN, estão genes para o envelhecimento, genes que lhes permitem ter diferentes tempos de vida. | 9 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-1.390989899635315,
0.6097668409347534,
-0.3489464521408081,
-0.8467650413513184,
-1.15687894821167,
-0.5482703447341919,
-0.7186382412910461,
1.1548854112625122,
0.1310328245162964,
-0.017946157604455948,
-0.58595871925354,
0.6288330554962158,
-1.0562958717346191,
0.595868706703186,
-0.... |
You will be given a definition of a task first, then some input of the task.
You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Paragraph: The glaciers on Earth are getting smaller and smaller as Earths tempera... | decreasing | 1 | NIv2 | task1731_quartz_question_answering | zs_opt | [
0.09204146265983582,
0.42598757147789,
-0.5706100463867188,
0.5283747911453247,
-0.446327805519104,
-1.015617847442627,
0.14915409684181213,
0.37808898091316223,
-0.03324291110038757,
-0.0244701337069273,
-0.3463316857814789,
-0.10890384018421173,
-0.5991209745407104,
-0.012594913132488728... |
Detailed Instructions: In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer... | 3 | 9 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
0.11367300152778625,
-0.3779323399066925,
0.3053171932697296,
0.3149651288986206,
-0.07197673618793488,
-0.9929521083831787,
0.45634424686431885,
0.6683555841445923,
0.22552600502967834,
-0.2828264832496643,
-1.0270529985427856,
-0.13787995278835297,
-0.038199201226234436,
-0.5587673783302... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced... | Aggresive | 0 | NIv2 | task335_hateeval_classification_aggresive_en | zs_opt | [
-0.5491510629653931,
0.39526093006134033,
0.562187671661377,
0.12927569448947906,
-0.3868129849433899,
-0.7339603304862976,
0.9712904691696167,
0.6164961457252502,
0.20039549469947815,
0.36917710304260254,
-0.07420508563518524,
-0.02387099154293537,
-0.8702657222747803,
-0.3941205441951751... |
Part 1. Definition
In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in which your task is to list the phrases that give information... | not found | 7 | NIv2 | task181_outcome_extraction | fs_opt | [
0.6974375247955322,
-0.1328442245721817,
-0.8806987404823303,
-0.4323025941848755,
0.3177837133407593,
-0.31656867265701294,
-0.3208562731742859,
0.6836339831352234,
-0.17892660200595856,
0.3593873977661133,
-0.9208835363388062,
0.28330177068710327,
0.4102218747138977,
-0.2614004611968994,... |
In this task, you are given a question and a corresponding answer. Your task is to generate a fact statement that is useful in answering the given question.
Question: Where would you point to as an example of condensation, if limited to an office building? Answer: the beads on a cold root beer can.
beads of water are ... | when a hurricane moves over land , that hurricane will decrease in strength
| 0 | NIv2 | task1401_obqa_sentence_generation | fs_opt | [
0.7291827201843262,
0.4480346143245697,
-0.430681049823761,
0.12482257187366486,
-0.6303169131278992,
-0.9613446593284607,
-0.010144569911062717,
0.6031419038772583,
-0.28574514389038086,
-0.44490665197372437,
-0.3660561442375183,
-0.3097408413887024,
-0.7281273007392883,
0.474668353796005... |
Definition: 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.
Input: Sentence 1: birds you know this is too much work Sentence 2:... | yes | 2 | NIv2 | task199_mnli_classification | zs_opt | [
-0.8753166794776917,
0.571709156036377,
0.2567344605922699,
-0.043795447796583176,
0.10621370375156403,
-0.5115765333175659,
0.5598941445350647,
0.8496429324150085,
0.3154681921005249,
0.01477530412375927,
-0.60419100522995,
-0.5551502108573914,
-0.6841448545455933,
0.08152390271425247,
... |
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an u... | conduction.
| 7 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.9604870080947876,
0.3982376456260681,
-0.7377582788467407,
0.3565242290496826,
0.5888246893882751,
-1.1042098999023438,
0.5110343098640442,
0.6878533363342285,
-0.33472299575805664,
0.1962849199771881,
-0.2643616199493408,
-0.14280784130096436,
-0.7937359809875488,
0.4956953823566437,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Q: SP: L'incarcerazione di drogati non violenti e la tolleranza dello stupro nelle nostre carceri.
A: | استیون: زندانی کردن برای جرمهای جزئی مواد مخدر و بی تفاوتی نسبت به تجاوزهای جنسی در زندان های کشور. | 4 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.01113671064376831,
0.3829723596572876,
-0.4948084056377411,
-0.4551580548286438,
-0.7057113647460938,
-0.9546154737472534,
-0.4744579493999481,
0.9262692332267761,
0.6751641631126404,
0.26021480560302734,
-0.6694420576095581,
0.42219945788383484,
-0.3450658321380615,
-0.1220267340540885... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
[EX Q]: ミリ秒とかマイクロ秒という単位で動いています
[EX A]: Działają w ciągu milisekund i mikrosekund.
[EX Q]: 一般的な親ならどうするでしょう ？
[EX A]: Co zdecydowałby jakikolwiek rodzic?
[EX Q]: 数年後この箱がここに付ければ交通手段電力コミュニケーションそして飲料水の問題までも解決できる可能性があります持続可能な... | Jeśli za kilka lat dodamy tu to pudło, może będzie to rozwiązanie problemu transportu, elektryczności i dostępności wody pitnej w ekologicznym, 30-kilogramowym pakiecie.
| 6 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
0.2625618875026703,
-0.07989650964736938,
-0.23295578360557556,
-0.3099965453147888,
-0.23036572337150574,
-0.7579343318939209,
0.004769005812704563,
-0.3348076045513153,
0.30465537309646606,
-0.5832778215408325,
0.2774352729320526,
0.41681331396102905,
-0.32280629873275757,
-0.21573071181... |
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: Consider Input: Article: A good memory is a great help i... | Output: The bottom of the fence should extend about 15 centimeters into the ground because _ .
| 2 | NIv2 | task649_race_blank_question_generation | fs_opt | [
0.5648638606071472,
0.2728327512741089,
-0.2923924922943115,
-0.34605133533477783,
0.7642749547958374,
-0.4382752478122711,
0.983403205871582,
1.0002436637878418,
-0.5130544900894165,
-0.007899832911789417,
-0.16026349365711212,
0.5739151835441589,
-0.7114458084106445,
0.5425916314125061,
... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | some information about the guy who left the army post
| 7 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.540687084197998,
0.7912898063659668,
-0.5118464827537537,
0.20109795033931732,
-0.06286843121051788,
-0.311728835105896,
0.1727965921163559,
0.8002880811691284,
-0.03585384786128998,
-0.3900623023509979,
-0.5930044651031494,
-0.064499631524086,
-1.1238865852355957,
-0.22995513677597046,... |
Teacher: You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I have bought several of the Vitality canned dog food product... | Negative | 2 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
0.12450656294822693,
-0.5069484710693359,
-0.1999286711215973,
-0.35147660970687866,
0.24905070662498474,
-0.8528358936309814,
0.9021003842353821,
0.6107192039489746,
0.027855217456817627,
0.2735818028450012,
0.13519591093063354,
-0.2656288146972656,
-0.227764293551445,
-0.0577177256345748... |
Detailed Instructions: In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Problem:Outright Dangerous . Before you even CONSIDER buying this b... | NEG | 8 | NIv2 | task476_cls_english_books_classification | zs_opt | [
0.019016865640878677,
0.850839376449585,
-0.382011353969574,
0.11803460121154785,
0.3482503294944763,
-0.8920056819915771,
1.112462043762207,
0.4921392798423767,
-0.19177599251270294,
0.2991856038570404,
-0.804248571395874,
-0.31539881229400635,
-0.7850115299224854,
-0.21007110178470612,
... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Category: NAME THAT STOOGE
Clue: No one made malice funnier than this second-oldest Stooge: | moe howard | 0 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.10840015113353729,
0.8322961330413818,
-0.21985167264938354,
-0.11283301562070847,
-0.11111003160476685,
-0.2228538691997528,
1.1064364910125732,
-0.013308463618159294,
0.37442734837532043,
-0.41606682538986206,
-0.5077276229858398,
-0.0650513768196106,
-0.965380072593689,
0.05303258821... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Justo a tiempo, un grupo de economistas llegó y dijo, "" ¿Por qué no probáis una subasta? Esta revelará su valor "".
Student: | 売られる前に経済学者の一団が言いました「競売にかけたら ？ 価値がはっきりするだろう」 | 6 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.30954980850219727,
0.4573231041431427,
0.12577110528945923,
-0.367742657661438,
-0.3113616108894348,
0.05498853325843811,
0.15244466066360474,
0.478129506111145,
0.22720476984977722,
-0.619143009185791,
0.10908646881580353,
0.030386807397007942,
-0.31081074476242065,
-0.4704694747924804... |
Q: 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 person has a piece of athletic equipment. | 7 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-0.5049846768379211,
0.4215835630893707,
-0.512832522392273,
-0.11595095694065094,
0.1403869092464447,
-0.9786226749420166,
0.041490375995635986,
0.6316482424736023,
0.40433061122894287,
-0.365150511264801,
-0.999714195728302,
-0.0005150025244802237,
-0.5271070003509521,
-0.405198633670806... |
Instructions: 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'.
Input: Dialogue 1: 'what is iit they maintain equilibrium in iit's you are dumb'. Dial... | yes | 3 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.8288142085075378,
0.16548585891723633,
0.4875861406326294,
-0.42618799209594727,
-0.12619948387145996,
-0.007451025303453207,
0.613571286201477,
0.06576576083898544,
0.16789337992668152,
-0.09739463031291962,
-0.1212194412946701,
-0.7819167375564575,
-0.6755360960960388,
-0.164317145943... |
Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler ones. The fina... | This book is very short having only four chapters. The book is used in both Judaism and Christianity.
| 0 | NIv2 | task111_asset_sentence_simplification | fs_opt | [
-0.172137051820755,
0.891956090927124,
0.17028746008872986,
-0.45401859283447266,
0.1195431798696518,
0.06890925765037537,
0.6177667379379272,
0.9859505295753479,
0.28082960844039917,
-0.28550440073013306,
0.29719552397727966,
-0.5042473077774048,
-0.9436665773391724,
-0.15775981545448303,... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
[Q]: ingredients: '1/2 cup peanut butter', '1/3 cup softened butter', '1/2 cup packed brown sugar', '1 egg', '1/3 tsp pure vanilla extract', '1 cup flour', '1 tsp baking powder', '1/4 tsp kosher salt', '1 1/2 cup... | Sheepy Cookies (Or Sugar Cookie Dough To Shape As You Wish)
| 5 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.4849199056625366,
0.32472336292266846,
-0.573613166809082,
0.705271303653717,
0.11304222047328949,
-0.3333730101585388,
0.578622043132782,
1.1534184217453003,
-0.2439272254705429,
-0.17539963126182556,
-0.1300097405910492,
0.365440309047699,
0.02450340986251831,
0.44458240270614624,
-0... |
Detailed Instructions: You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the s... | Jim's. | 9 | NIv2 | task061_ropes_answer_generation | zs_opt | [
0.6199719309806824,
0.2300110161304474,
-0.684861421585083,
0.08279989659786224,
0.12927238643169403,
-1.8531574010849,
-0.006756856106221676,
0.8417258858680725,
-0.15928548574447632,
0.45419222116470337,
-0.3668000400066376,
-0.11492466926574707,
-0.4746876358985901,
0.5775363445281982,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها... | Es un poco un cliché, pero nada artificial podrá nunca igualar la imaginación de la naturaleza. | 0 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.7740229964256287,
0.28848958015441895,
-0.35466766357421875,
0.08444767445325851,
-0.47625383734703064,
-0.06177051365375519,
0.32963502407073975,
0.4729950428009033,
-0.08499433845281601,
-0.44584518671035767,
-0.37728679180145264,
0.31190502643585205,
-0.04981520026922226,
-0.00960940... |
In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
কুসংষ্কারাচ্ছন্ন একটি বই । তামাম দুনিয়ার যত ধরনের ধর্মীয় কুসংষ্কার আছে কোনটাই মনে হয় বাদ যায় নাই। এর আগেও অনেক হরর , পজেশান মিষ্ট্রি ,সাইফাই পড়েছি এম... | negative | 0 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | zs_opt | [
-0.875860333442688,
-0.05119656026363373,
0.5222468376159668,
-0.2638351321220398,
0.2580587565898895,
-0.17886243760585785,
0.20718786120414734,
0.08928347378969193,
-0.23652788996696472,
0.2990736961364746,
-0.8424842357635498,
-0.3152705430984497,
-0.7574759721755981,
-0.291329085826873... |
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 answer the question, output should be empty.
Example: Passag... | Solution: fly | 5 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.17219345271587372,
0.1648867428302765,
-0.2340690940618515,
-0.1352803111076355,
-0.3263368010520935,
0.22512724995613098,
0.27269577980041504,
0.5437769889831543,
-0.45991289615631104,
0.25969433784484863,
0.08309143036603928,
0.4191114902496338,
0.2637408375740051,
0.045262835919857025... |
Definition: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positi... | 5a, 4c | 2 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.5019470453262329,
0.007812199182808399,
0.04728463292121887,
0.27721214294433594,
0.36943870782852173,
0.1549852192401886,
-0.14372128248214722,
1.0535643100738525,
-0.25304463505744934,
0.15566565096378326,
-0.6887365579605103,
0.07508881390094757,
0.10543490201234818,
-0.3347900807857... |
Detailed Instructions: 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.
Q: Mammalian exchange protein directly activated by cAMP isoform 1 (EPAC1), encoded by the RAPGEF3 ... | Exchange protein directly activated by cAMP encoded by the mammalian rapgef3 gene: Structure, function and therapeutics | 9 | NIv2 | task1161_coda19_title_generation | zs_opt | [
-0.7633630633354187,
0.1340610682964325,
-0.30280670523643494,
0.04062642902135849,
-0.1286352127790451,
-0.8201174139976501,
0.9771445989608765,
0.8590084314346313,
-0.2782291769981384,
0.25798001885414124,
-0.9859879016876221,
0.2781892418861389,
-0.9772387146949768,
-0.13830532133579254... |
Instructions: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of stateme... | eq { count { filter_eq { all_rows ; shooter ; sergei pyzhianov } } ; 2 } | 3 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.22822712361812592,
-0.11653101444244385,
-0.5859436988830566,
0.2838202714920044,
0.16900880634784698,
-0.3024481236934662,
0.5682027339935303,
0.29393869638442993,
0.3168923258781433,
-0.18267309665679932,
-0.26997891068458557,
-0.11815138906240463,
-0.32734185457229614,
0.5625386238098... |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Example Input: From what country is the university that was ranked 3 in 2008 ?
Example Output: US
Example Input: What is the date when the opponent was the one ... | 8,680
| 3 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.24598193168640137,
0.41269856691360474,
-0.8139217495918274,
-0.15946035087108612,
-0.35425788164138794,
-0.4987107217311859,
0.7972595691680908,
0.09846442937850952,
-0.5794789791107178,
-0.23362138867378235,
-0.5480676293373108,
1.240562915802002,
-0.1615537703037262,
-0.4270598590373... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's c... | book | 0 | NIv2 | task573_air_dialogue_classification | fs_opt | [
0.5562224388122559,
0.038983315229415894,
-0.44743528962135315,
-0.5181704759597778,
0.8330264687538147,
-0.2575738728046417,
1.5116552114486694,
0.5292341709136963,
-0.3963470458984375,
0.35069161653518677,
0.2125498354434967,
-0.10910599678754807,
-0.4140467941761017,
0.12441054731607437... |
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'... | ADV | 0 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.7352976202964783,
0.22644761204719543,
0.008045796304941177,
0.0850529819726944,
-0.03861208260059357,
-0.6333616375923157,
0.8950615525245667,
0.7009199261665344,
-0.5940579771995544,
-0.1769777536392212,
-0.29613280296325684,
-0.05851585417985916,
-0.5921528339385986,
0.564715147018432... |
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.
Let me give you an example: Question: 牙科诊所处理了很多口外伤的患者，这些患者来自哪里？
Options: (A) 城镇 (B) 密西根 (C) 办公... | E | 8 | NIv2 | task1141_xcsr_zh_commonsense_mc_classification | fs_opt | [
-0.0755428746342659,
0.11215957999229431,
-0.6016046404838562,
-0.4677508473396301,
-0.09792598336935043,
-0.2192823588848114,
-0.17707620561122894,
1.170717716217041,
-0.07267964631319046,
-0.05352981388568878,
0.273525595664978,
0.9104710221290588,
0.5857046842575073,
-0.3773421049118042... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Q: Topic: We should end mandatory retirement<sep>Argument: Mandatory retiremen... | True
****
| 4 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
0.14300990104675293,
0.32389146089553833,
0.35071659088134766,
-0.03421652317047119,
-0.11585299670696259,
-0.609428882598877,
0.49883922934532166,
0.6863088607788086,
0.3240853548049927,
0.05796404927968979,
-0.6153033971786499,
-0.16914159059524536,
-0.3728381395339966,
-0.24985729157924... |
In this task your given two statements in Turkish. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Let me give you an example: Ürün balonlu naylonla paketlenmişti.
... | effect | 8 | NIv2 | task1181_xcopa_commonsense_cause_effect_tr | fs_opt | [
-1.0766018629074097,
0.4944649040699005,
0.3202466070652008,
-0.11141472309827805,
-0.10414201021194458,
0.1012217253446579,
0.545457124710083,
0.06422126293182373,
0.427217960357666,
-0.05425907298922539,
-0.5871092081069946,
0.9488422870635986,
-0.8802410364151001,
0.26747560501098633,
... |
Definition: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Input: punctual
Output: | unpunctual | 2 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.4383220076560974,
1.2959108352661133,
0.5554769039154053,
-0.11249919980764389,
-0.7570987939834595,
-0.4081498980522156,
-0.057167645543813705,
0.3022533655166626,
0.7407108545303345,
-0.4501635730266571,
-0.9320501685142517,
-0.6204671263694763,
-1.41831636428833,
0.23412910103797913,
... |
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 sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Our fr... | 1 | 0 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
0.012288860976696014,
0.3706110417842865,
-0.015481955371797085,
0.07423929870128632,
0.15307468175888062,
-1.166491150856018,
0.571302056312561,
0.23357124626636505,
0.5695192813873291,
-0.2549467384815216,
-0.4913176894187927,
-0.6675742864608765,
0.3461682200431824,
-0.42262428998947144... |
Instructions: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, E... | IN | 3 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
-0.221066415309906,
1.1414601802825928,
-0.41619306802749634,
0.5941629409790039,
-0.04238561540842056,
-0.5090442895889282,
0.47680291533470154,
0.4735061824321747,
-0.2310762107372284,
0.04205254092812538,
-0.45675545930862427,
0.589611828327179,
-0.48253193497657776,
0.04779840633273125... |
Given a sentence in the Japanese and Thai 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: マグニチュード7.7の海底地震が致命的な波を引き起こし、ジャワの南沿岸を200kmにわたり破壊した。
Thai: องค์กรสื่อมวลชนระดับโลกที่เสนอบริการเป... | No | 0 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.4793652892112732,
-0.3125520348548889,
0.4599812924861908,
-0.017190704122185707,
0.37359702587127686,
-0.46120187640190125,
0.36638396978378296,
0.8106821775436401,
-0.7279528379440308,
-0.19745254516601562,
0.1752438247203827,
0.3803352415561676,
-0.43632519245147705,
0.46051996946334... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the sched... | user | 1 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.23312152922153473,
0.5234962105751038,
-0.5186132788658142,
-0.03543347492814064,
-0.08446814119815826,
-0.061407048255205154,
0.49687832593917847,
-0.12808889150619507,
0.37631428241729736,
0.0779324620962143,
-0.0812937468290329,
0.04069454222917557,
-0.24115140736103058,
0.4568430483... |
You will be given a definition of a task first, then some input of the task.
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acc... | acceptable | 1 | NIv2 | task616_cola_classification | zs_opt | [
-0.18139691650867462,
0.6593400239944458,
0.7572335600852966,
-0.38800424337387085,
0.147543266415596,
-1.0203449726104736,
0.175889253616333,
0.07955352216959,
0.0689963847398758,
0.39700812101364136,
-0.7277861833572388,
-0.11753154546022415,
-0.3859018385410309,
-0.11544772982597351,
... |
Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) with the appropriate affor... | car
| 6 | NIv2 | task1153_bard_analogical_reasoning_affordance | fs_opt | [
0.3849724531173706,
0.6861408948898315,
-0.14354795217514038,
0.4598545730113983,
-0.2726724445819855,
-0.2018289566040039,
1.0107190608978271,
0.7586221098899841,
0.20588818192481995,
-0.23496794700622559,
-0.45348483324050903,
-0.24774545431137085,
0.15707145631313324,
-0.333310246467590... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole... | [39, -1, -79, -47] | 1 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.15490809082984924,
0.9978918433189392,
-0.3612304627895355,
-0.18179824948310852,
0.24236924946308136,
-0.28847992420196533,
0.754551351070404,
0.8674207925796509,
0.281349778175354,
0.050173401832580566,
-0.15424644947052002,
0.08271429687738419,
0.3533138632774353,
0.03259580582380295... |
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Example input: In one work this au... | Fine Arts | 3 | NIv2 | task521_trivia_question_classification | fs_opt | [
-0.00769450468942523,
0.7697677612304688,
-0.0027788623701781034,
0.12365522980690002,
0.22408980131149292,
0.0608036033809185,
0.48209401965141296,
0.35882365703582764,
0.10653427243232727,
0.10037849098443985,
-0.49468088150024414,
0.3309876322746277,
-0.744196355342865,
-0.1330231279134... |
Given the task definition and input, reply with output. In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem... | Because he actually didn't know what she wanted . | 5 | NIv2 | task595_mocha_answer_generation | zs_opt | [
0.023898974061012268,
1.0646915435791016,
0.3988978862762451,
0.25907114148139954,
0.025841668248176575,
0.3887682259082794,
0.5714255571365356,
0.34407132863998413,
-0.010813568718731403,
-0.10466869920492172,
-1.0574049949645996,
0.08687496930360794,
-0.7886366248130798,
-0.0129282902926... |
Detailed Instructions: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | You would get some homework from someone because you want to buy a house . | 9 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.5706101655960083,
0.7676065564155579,
0.25900644063949585,
-0.08045609295368195,
0.2883104383945465,
-0.974350094795227,
0.8633085489273071,
0.7705994844436646,
-0.1895139515399933,
0.04525461792945862,
-0.8510124683380127,
0.08271405845880508,
-1.0589123964309692,
0.421132355928421,
... |
A text is given in Marathi. Translate it from the Marathi language to the Oriya language. The translation must not omit or add information to the original sentence.
Example Input: हे मोठे स्थित्यंतर होते जे अटलजी सरकारच्या काळात केले गेले.
Example Output: ଋଣ ଛାଡ ଯୋଜନା ଭଳି ନୁହେଁ ବରଂ ପିଏମ କିଷାନ ସମ୍ମାନ ନିଧି ଯୋଜନା ହେଉଛି ଏ... | ପ୍ରଧାନମନ୍ତ୍ରୀ ଦେଶର ବହୁ ନେତାଙ୍କ ଉଦାହରଣ ଦେଇଥିଲେ ଯେଉଁମାନେ ଅତି ସାଧାରଣ ପୃଷ୍ଠଭୂମିରୁ ଆଜି ଉଚ୍ଚ ପଦବୀରେ ପହଁଚିପାରିଛନ୍ତି । ନୂତନ ଭାରତର ଯୁବପିଢ଼ି କ’ଣ ଆଶା କରୁଛି ସେମାନେ ବୁଝିଛନ୍ତି ବୋଲି ସେ ଉଲ୍ଲେଖ କରିଥିଲେ ।
| 3 | NIv2 | task1055_pib_translation_marathi_oriya | fs_opt | [
-0.07650823891162872,
0.6264033317565918,
-0.39388129115104675,
0.2478296309709549,
0.06555064022541046,
-1.0227011442184448,
1.348060131072998,
1.001940131187439,
0.0747489184141159,
0.09237958490848541,
-0.6116604804992676,
-0.6409751772880554,
-0.7682337760925293,
0.15477228164672852,
... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
--------
Question: Personality: My car is black.
I'm a recruiter.
I don't own any pets.
My fa... | Good luck, what is your favorite color.
| 7 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.17992419004440308,
-0.495922327041626,
-0.24780955910682678,
0.028120920062065125,
-0.25871947407722473,
-0.24283714592456818,
1.0014044046401978,
0.3485778570175171,
-0.160153329372406,
-0.13869699835777283,
0.10564152896404266,
0.029967669397592545,
-0.12986637651920319,
0.011138901114... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
One example is below.
Q: She shone her light around the space, following th... | Present | 9 | NIv2 | task429_senteval_tense | fs_opt | [
-0.6644003987312317,
1.0849878787994385,
0.3168707489967346,
-0.07126467674970627,
0.0013779222499579191,
-0.39497941732406616,
0.8258969187736511,
0.8162354230880737,
0.5754022598266602,
-0.17665977776050568,
-0.46579766273498535,
0.31516873836517334,
-0.5326570272445679,
-0.0900447517633... |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Juntar alguma água.
| و قليل من المياه. | 5 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
-0.4034569263458252,
1.5164692401885986,
-0.2372833788394928,
-0.6801417469978333,
-0.5769691467285156,
0.14234301447868347,
0.09288563579320908,
0.1944441944360733,
0.7130241990089417,
-0.0876859575510025,
-0.2760552167892456,
0.01035873219370842,
-1.3232381343841553,
0.32751357555389404,... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Example input: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example output: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ... | ປະທານນາທິບໍດີ ຕູຣກີ ອັບດຸລລາ ກູລ ໄດ້ເວົ້າວ່າ ສອງປະເທດ "ແບ່ງປັນຄວາມຕັ້ງໃຈໃນການເພີ່ມທະວີ ປະລິມານການຄ້າຈາດກ US$38 ຕື້ ເຖິງ US$100 ຕື້ ໃນຫ້າປີ." | 3 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.9710678458213806,
0.3781614303588867,
-0.6245979070663452,
0.2862735390663147,
-0.028439383953809738,
-0.02797563001513481,
0.2708663046360016,
0.47295767068862915,
0.04800979048013687,
-0.7806990742683411,
-1.0255224704742432,
1.0907621383666992,
-0.8923108577728271,
0.8969295024871826... |
You are given a sentence and your task is to generate another sentence that supports the given input.
One example: In spite of this reduced heat input, the surface temperature of Venus is higher than that of the Earth.
Solution is here: Venus has a warmer average surface temperature than earth.
Explanation: Output stat... | All of the petals together are called a corolla. | 6 | NIv2 | task1530_scitail1.1_sentence_generation | fs_opt | [
-0.18937721848487854,
0.6180890202522278,
-1.0581800937652588,
0.35078614950180054,
-0.2120938003063202,
-1.4419779777526855,
-0.2454870343208313,
0.7634044885635376,
0.13999444246292114,
-0.24010495841503143,
0.007564047817140818,
0.19012321531772614,
0.050566788762807846,
0.7945134639739... |
You will be given a definition of a task first, then some input of the task.
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Context: An overdose of oral anticoagulants represents a ch... | dabigatran | 1 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
0.8925173282623291,
0.26069992780685425,
-0.44566595554351807,
0.14218471944332123,
0.216677725315094,
-0.29489821195602417,
0.7777081727981567,
0.6518840193748474,
0.5976364612579346,
0.4414394497871399,
-0.7300968170166016,
-0.19553357362747192,
-0.36588531732559204,
-0.03767064586281776... |
Definition: Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable pro... | Ако искате да използвате компютър, тогава трябва да започнете програма за кандидатстване. | 2 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
0.22668687999248505,
0.38116610050201416,
-0.013453062623739243,
-0.02653064951300621,
0.04598844423890114,
-0.3659176528453827,
0.805890679359436,
0.0036251230631023645,
0.7246459722518921,
-0.30710554122924805,
-1.3612340688705444,
0.4551658034324646,
-0.23775306344032288,
0.066973857581... |
In this task, you are given a question and a corresponding answer. Your task is to generate a fact statement that is useful in answering the given question.
Example: Question: Frilled sharks and angler fish live far beneath the surface of the ocean, which is why they are known as? Answer: deep sea fish
Example solution... | Solution: a prism refracts light | 5 | NIv2 | task1401_obqa_sentence_generation | fs_opt | [
-0.47132211923599243,
-0.15485621988773346,
-0.7027553915977478,
-0.15658986568450928,
-0.4853559136390686,
-0.3837358057498932,
0.41805514693260193,
-0.11684972047805786,
-0.33191466331481934,
0.08925085514783859,
-0.18545310199260712,
0.16343525052070618,
-1.3643959760665894,
0.578302383... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Example: Alphonse feels anxious.
Example solution: fear
Example explanation: ... | Solution: fear | 5 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.5004022121429443,
0.3915073871612549,
0.6179200410842896,
-0.2780054807662964,
-0.3056842088699341,
-0.6494313478469849,
1.2016280889511108,
0.3637775480747223,
0.14904086291790009,
-0.25027430057525635,
-0.8077250719070435,
-0.35727453231811523,
-0.4846905469894409,
-0.0412745326757431... |
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'.
--------
Q... | No
| 7 | NIv2 | task227_clariq_classification | fs_opt | [
0.41473332047462463,
0.029241343960165977,
-0.1794390082359314,
0.36668604612350464,
0.14224347472190857,
-0.5273678302764893,
0.8749460577964783,
0.5595676898956299,
0.23583360016345978,
0.2566675543785095,
-0.0019668391905725002,
0.11383502185344696,
-0.2886340916156769,
0.22905226051807... |
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | True | 9 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
-0.006310211028903723,
0.26325082778930664,
-0.40881332755088806,
0.06038209795951843,
-0.15550464391708374,
-0.1942712366580963,
0.7743009328842163,
0.828065037727356,
-0.14705589413642883,
0.35549384355545044,
0.07553903758525848,
0.0834009200334549,
-0.27646639943122864,
0.0403505265712... |
Given the task definition and input, reply with output. 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: A round is over when either one player plays the last domino in their hand or no players can make ... | Yes | 5 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
0.013541133143007755,
0.5563195943832397,
-0.5396745800971985,
0.4430133104324341,
-0.5934072732925415,
-0.05376330018043518,
1.168832778930664,
0.08012712001800537,
0.07461494207382202,
-0.5876020193099976,
0.23475690186023712,
0.8661709427833557,
-0.6077146530151367,
0.23069241642951965,... |
Q: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
2, 6, ['8923', '4053', 'I', '6459', 'D', '5285', '1149', '1663... | 4053, 1663, 7031 | 7 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.2510688304901123,
0.33064955472946167,
-0.5651509761810303,
-0.6327227354049683,
-1.0050280094146729,
0.18233871459960938,
0.5951877236366272,
-0.7459904551506042,
-0.2325010597705841,
-0.35026052594184875,
-0.443850040435791,
-0.5791527628898621,
0.002859647385776043,
0.4525882601737976... |
Teacher:In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Teacher: Now, understand the problem? Solve this instance: Problem: when the price of a radio was reduced by 20 % , its sale ... | a | 6 | NIv2 | task1419_mathqa_gain | zs_opt | [
-0.4126812219619751,
0.21002714335918427,
-0.4684889316558838,
0.14135514199733734,
-0.030781039968132973,
-0.15772788226604462,
0.7450293302536011,
0.9838893413543701,
0.18594902753829956,
0.23084397614002228,
-0.9636574387550354,
0.14602065086364746,
-1.3379745483398438,
-0.6095218658447... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
One example: Personality:... | I have not had a frosty since I went vegan. I miss them, though. | 6 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.235495924949646,
-0.4356500208377838,
-0.11725284159183502,
0.044862546026706696,
-0.38080692291259766,
0.43373653292655945,
0.42998236417770386,
0.3662847578525543,
0.04367365688085556,
-0.4621068835258484,
0.1215759664773941,
0.03829085826873779,
-0.23522213101387024,
0.46775841712951... |
In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: KREISCH !!!! FLUCHT ---------> . also beim besten willen nicht! schon allein das ge... | NEG | 4 | NIv2 | task481_cls_german_music_classification | zs_opt | [
-0.9470468163490295,
0.4555142819881439,
0.23945486545562744,
-0.29757827520370483,
0.20266209542751312,
-0.15673083066940308,
0.9434993267059326,
0.6749935150146484,
-0.047789279371500015,
0.4559329152107239,
-0.12795908749103546,
-0.10463046282529831,
-0.062262292951345444,
-0.1508300304... |
Detailed Instructions: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', a... | B | 4 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.40962159633636475,
0.09709817171096802,
-0.24883881211280823,
0.15251436829566956,
-0.22137005627155304,
-0.2772100269794464,
0.5264328122138977,
0.32080337405204773,
0.10596119612455368,
0.16613741219043732,
-0.18323998153209686,
0.09743663668632507,
0.20753583312034607,
-0.124177098274... |
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.
One example: passage: Franchising is a way for small business owners to benefit from the economies of scale of the big corporation (franchiser). McDonald's and Subw... | Yes | 6 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
0.034632738679647446,
0.6130862236022949,
0.03661343827843666,
-0.14502492547035217,
-0.2042454332113266,
0.7931627631187439,
0.879306435585022,
0.5809419751167297,
0.3527876138687134,
-0.13523855805397034,
-0.41545313596725464,
-0.4884777069091797,
-0.7344557046890259,
0.10816504061222076... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a correct English sentence. You need to generate an incorrect form of the input sentence.
With this you can learn and gain knowledge .
Output: | by this you can learn gain the knowlegde . | 1 | NIv2 | task1558_jfleg_incorrect_answer_generation | zs_opt | [
-0.08105631917715073,
0.896033525466919,
0.17043952643871307,
0.006719987373799086,
0.2085459679365158,
-0.24322018027305603,
0.15790334343910217,
0.4774330258369446,
0.3693830370903015,
0.08805163949728012,
-0.23734912276268005,
-0.2613985240459442,
-0.2912396192550659,
-0.330471307039260... |
In this task, you are given two sets, and you need to count the number of elements at the union of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. Union of two given sets is the smallest set which contains all the elements of both the sets. To find the union of two... | 9 | 0 | NIv2 | task244_count_elements_in_set_union | zs_opt | [
0.08143524825572968,
0.7714924216270447,
-1.2009005546569824,
-0.3646903336048126,
-0.392396479845047,
0.10883858799934387,
0.6401922106742859,
0.4727526605129242,
-0.529230535030365,
-0.07385487854480743,
-1.030550241470337,
0.10633134841918945,
0.14791887998580933,
-0.11333127319812775,
... |
You will be given a definition of a task first, then some input of the task.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
While reading the book I found myself traveling along every page, visiting the Greek islands and walking alongside Ulysses in his ... | Positive | 1 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.2446003556251526,
-0.17752942442893982,
0.048029474914073944,
-0.38435155153274536,
0.42144519090652466,
0.032942451536655426,
1.1879761219024658,
-0.2580336630344391,
0.33579179644584656,
0.6997182369232178,
0.04412585496902466,
0.2881133258342743,
-0.5671809911727905,
-0.3119047582149... |
The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, 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 ... | Output: Thor, Bravos, and Pierre
| 2 | NIv2 | task918_coqa_answer_generation | fs_opt | [
0.7526333332061768,
0.518213152885437,
0.0654408186674118,
0.21276572346687317,
0.5528250932693481,
-0.5231252312660217,
0.6601133346557617,
0.3265955448150635,
-0.628631591796875,
-0.20628316700458527,
-0.5119067430496216,
0.16183748841285706,
-0.5264151096343994,
0.22314999997615814,
-... |
Given the task definition and input, reply with output. In this task, you are given a question. You have to answer the question based on your information.
What American football quarterback who played for the Atlanta Falcons played football at the same college as his brother?
| Michael Vick | 5 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
0.15003304183483124,
0.8284956812858582,
-0.5305545926094055,
-0.1826195865869522,
-0.8222174644470215,
-0.2320951670408249,
0.14270445704460144,
0.18473735451698303,
0.0037224814295768738,
-0.46432870626449585,
-0.1450047641992569,
0.13249467313289642,
-0.6000743508338928,
0.1142453253269... |
Teacher: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have ... | Yes | 2 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.4541857838630676,
0.0231599360704422,
0.2688964605331421,
0.05596441775560379,
-0.4079951047897339,
-0.5264621376991272,
0.9643028378486633,
0.7082628011703491,
-0.5516753196716309,
-0.18922105431556702,
-0.30220746994018555,
-0.43225592374801636,
-0.7041574716567993,
0.11512157320976257... |
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