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 |
|---|---|---|---|---|---|---|
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: Gina had inherited a house from her parents. Sentence2: She wanted to sell the house. Sentence3: Gina took out the things that had sentimental value. Sente... | Abby's mother, Abby
| 0 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.19277599453926086,
-0.045558616518974304,
-0.02465793490409851,
-0.15827825665473938,
0.4378281831741333,
-0.5913121700286865,
0.08963407576084137,
1.594423532485962,
0.6526308059692383,
0.045911774039268494,
-0.7587742805480957,
0.5897672772407532,
-0.29365074634552,
0.03280388563871384... |
You will be given a definition of a task first, then some input of the task.
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast'... | film | 1 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.43305230140686035,
0.4486471116542816,
-0.2862938642501831,
0.13355499505996704,
0.8180639743804932,
0.15269789099693298,
0.12150506675243378,
0.3906518816947937,
-0.5983320474624634,
0.017033308744430542,
-0.21971088647842407,
-0.2474338412284851,
-0.15118113160133362,
-0.3607761859893... |
Detailed Instructions: In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
Q: fearing that drek will destroy the galaxy , clank asks ratchet to help him find the famous superhero captain qwark , in a... | clank aked rachet to help him find the famous superhero captain qwark , so they could stop drek from destroying the galaxy. | 9 | NIv2 | task934_turk_simplification | zs_opt | [
-0.041895609349012375,
1.4895343780517578,
0.09313222020864487,
-1.50529146194458,
-0.7484003305435181,
-0.3967956006526947,
1.5744410753250122,
-1.1053602695465088,
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-1.0417662858963013,
-0.018843017518520355,
-0.2958798408508301,
-1.6736154556274414,
-0.0464924201369... |
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
Example Input: പി സന്തോഷ്കുമാര്, വിജിലന്സ് ആന്റ്ആന്റി കറപ്ഷന് ബ്യൂറോ മലപ്പുറം അസിസ്റ്റന്റ് സബ് ഇന്സ്പെക്ടര് ശ്രീ.
Example Output: Shri Biswadip... | 02 2
| 3 | NIv2 | task1022_pib_translation_malayalam_english | fs_opt | [
-0.3518790602684021,
-0.214731365442276,
0.2916566729545593,
-0.623091459274292,
0.6525087356567383,
-1.0811712741851807,
-0.2526232898235321,
-0.04128667712211609,
-0.554013729095459,
-0.12858963012695312,
-0.44778698682785034,
-0.03318797051906586,
-0.5144028663635254,
-0.111731089651584... |
Teacher: In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Teacher: Now, understand the problem? If you are still ... | c, f, g, s, v | 2 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
-0.10876501351594925,
-0.02897021174430847,
0.14468683302402496,
-0.8027093410491943,
0.5677099227905273,
-0.33931225538253784,
0.25436335802078247,
0.3234241008758545,
0.010210227221250534,
0.18818318843841553,
-0.5073965787887573,
-0.4726082384586334,
-0.051411524415016174,
-0.3752735555... |
Q: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Context: The Crag Group is a geological gr... | Answer: 570000 | 7 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
0.06400842219591141,
0.3821115493774414,
-0.2313246726989746,
-1.1371982097625732,
0.30941516160964966,
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-0.11943720281124115,
0.4727167785167694,
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0.18640513718128204,
0.6890910863876343,
0.01397202629595995,
-0.9680117964744568,
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... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
O silencio é o residuo do medo.
השתיקה היא שאריות הפחד.
Preguntástesvos por que os políticos non son o que adoitaban ser?
האם תהיתם מדוע פוליטיקאים אינם כפי שהיו פעם?
Todos estamos vendo a mesma cara.
| אז כולנו מסתכלים על אותם פנים שוב.
| 0 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.7487167716026306,
0.4302547872066498,
-0.3383578658103943,
-0.26141825318336487,
-0.27372872829437256,
-0.5285365581512451,
1.1911619901657104,
0.6123998165130615,
0.16679248213768005,
-0.6232519149780273,
-0.4592089056968689,
0.017068523913621902,
-0.6307961940765381,
0.210939466953277... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[-36, 11, 3... | [-36] | 0 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.7264722585678101,
0.7965469360351562,
0.2779105305671692,
-0.8527004718780518,
-0.016945742070674896,
-0.3178302049636841,
1.2750864028930664,
0.46888262033462524,
0.46935153007507324,
0.1731458306312561,
-0.8900597095489502,
-0.09760024398565292,
-0.15609273314476013,
-0.70749890804290... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Ex... | Hate Speech
| 1 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.40636035799980164,
-0.0962323322892189,
0.4750574231147766,
0.5667237043380737,
-0.2935147285461426,
-0.9189214706420898,
-0.5036818981170654,
0.8729509115219116,
0.2454853653907776,
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-0.6378824710845947,
-0.7961525917053223,
-0.5473394393920898,
-0.7348988056182861,
... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Example Input: PersonX goes to miss PersonY
Example Outp... | relieved
| 3 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.3493410348892212,
0.5585139393806458,
0.012796185910701752,
-0.7161275744438171,
-0.26645538210868835,
-0.34509915113449097,
1.3811547756195068,
0.6666775345802307,
0.27572447061538696,
-0.7872257232666016,
-0.014603521674871445,
-0.0741778016090393,
-0.5867584347724915,
0.4797460436820... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Input: Consider Input: "Que me vas ensinar ti sobre o ben e o mal?"
Output: "" Cosa vuole insegnarmi su ciò che è giusto o sbagliato?
Input: Consider Input: E de aí saíu a idea.
Output: È da questo che le venne l'ide... | Output: Beh, pensiamo che, data la presenza di acqua, che va avanti da molto tempo, e data la possibile presenza di sorgenti idrotermali con la giusta materia organica, sia un luogo dove la vita potrebbe essere comparsa.
| 2 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.7024333477020264,
1.036486268043518,
-0.4084319472312927,
-0.3150714635848999,
-0.15112066268920898,
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-0.09974190592765808,
0.942641019821167,
-0.5957672595977783,
0.06795135140419006,
-0.34052586555480957,
-0.21141211688518524,
-0.7732340097427368,
0.001021862495690... |
Teacher: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Teacher: Now, un... | 'censoring' my cousin and father when they were gossiping about my favourite relative | 2 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.3778074383735657,
-0.030509619042277336,
0.00659185228869319,
-0.38316887617111206,
0.8363916873931885,
-0.0874854028224945,
0.5333367586135864,
1.0045380592346191,
-0.543626070022583,
0.3665834069252014,
0.15426965057849884,
0.5234651565551758,
-0.8510886430740356,
0.3657129406929016,
... |
Given an object and a part, decide whether the object has that part. For example is you are asked 'gun has barrel', you need to decide if a gun has a barrel as one of its components or parts. All sentences strictly follow the template 'object has part?.' The answer should be 1 or 0, 1 means the object has the given par... | 1 | 8 | NIv2 | task1584_evalution_meronym_classification | fs_opt | [
-0.39284414052963257,
0.653442919254303,
0.056740909814834595,
0.5726016759872437,
0.29788050055503845,
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1.4577343463897705,
0.489457368850708,
0.025227408856153488,
-0.7316977977752686,
-0.3607885241508484,
0.19073079526424408,
-0.7836419939994812,
0.25270333886146545,
... |
Given the task definition and input, reply with output. In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: The family was stuck. Sentence2: The elevator they were on had stopped moving! Sentence3: They push... | Firemen, Family | 5 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.3399471640586853,
0.7111524939537048,
0.06313718855381012,
-0.05181889235973358,
0.13603746891021729,
-0.27250733971595764,
0.5866106748580933,
0.859671413898468,
0.6462985277175903,
-0.38563406467437744,
-0.7618851661682129,
-0.563571035861969,
-0.3903670310974121,
0.21612387895584106,... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Example input: My boyfri... | expecting my partner to take care of me for more than 3 days | 3 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.3186013102531433,
0.36593979597091675,
0.19533945620059967,
-0.11731109023094177,
0.6948731541633606,
-0.39684608578681946,
0.09597084671258926,
1.0117697715759277,
-0.4763938784599304,
0.14238277077674866,
0.14026668667793274,
0.08372621238231659,
-0.6690701246261597,
0.1933942884206771... |
Part 1. Definition
Given a paragraph about movies, and a set of conversational question answers about the paragraph, answer a follow-up question from the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`, and the follow-up question has a ... | In some major films (especially action films) the final edit may not be complete until the film initially releases | 7 | NIv2 | task1441_doqa_movies_answer_generation | fs_opt | [
0.8682273626327515,
0.4864124655723572,
-0.4526713788509369,
0.3028106391429901,
0.3409144878387451,
0.15532268583774567,
0.36527055501937866,
0.9207674264907837,
-0.15369245409965515,
-0.07309338450431824,
-0.45847365260124207,
0.16557039320468903,
-0.7840063571929932,
0.43897250294685364... |
Detailed Instructions: In this task, you need to count the number of times the given letter appears in the given sentence.
Problem:Sentence: 'a fluffy dog is walking up the beach'. Find frequency of the letter 'i'
Solution: | 2 | 8 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.6785303950309753,
0.3950810432434082,
-0.8169714212417603,
-0.7495511770248413,
-0.6332550048828125,
-0.2622188627719879,
-0.1320878267288208,
0.5945262312889099,
0.10835899412631989,
-0.2908550202846527,
-0.9867538809776306,
-0.3874341547489166,
-0.5282626152038574,
-0.0710015818476677... |
In this task, given a sentence in the English language, your task is to convert it into the Thai language.
One example is below.
Q: Some protesters taunted riot police, who responded with stun grenades.
A: ผู้ประท้วงบางคนล้อเลียนตำรวจปราบจลาจล ผู้ซึ่งหยุดการประท้วงด้วยระเบิดเสียง
Rationale: The above sentence is correc... | เนื่องจากเกิดเพลิงไหม้ปะทุขึ้นในอากาศเป็นวงกว้างในระหว่างที่เจ้าหน้าที่พยายามควบคุมเพลิง จึงต้องมีการใช้เฮลิคอปเตอร์และเครื่องบินดับเพลิงบินขึ้นเพื่อทำการโปรยน้ำหลายพันแกลลอนเพื่อดับไฟที่ลุกเหนือบริเวณหุบเขาใน Riverside County | 9 | NIv2 | task551_alt_translation_en_th | fs_opt | [
0.10016736388206482,
0.8647798299789429,
0.4018171429634094,
-0.8303865194320679,
-0.11324424296617508,
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0.38722938299179077,
0.6407767534255981,
0.05911443382501602,
-0.18707647919654846,
-0.2876085340976715,
0.6454314589500427,
-0.8009053468704224,
0.01913048699498176... |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: Consider Input: 4 വിവരസാങ്കേതിക വിദ്യ, ഇലക്ട്രോണിക്സ് എന്നീ രംഗങ്ങളിലെ സഹകരണത്തിനുള്ള സംയുക്ത പ്രസ്താവന ശ്രീ.
Output: ਸੂਚਨਾ ਅਤੇ ਸੰਚਾਰ ਟੈਕਨ... | Output: ਅਸੀਂ ਕੁਦਰਤੀ ਸਰੋਤਾਂ ਦੇ ਕਫਾਇਤੀ ਅਤੇ ਜਲਵਾਯੂ ਦੇ ਅਨੁਕੂਲ ਉਪਯੋਗ ਲਈ ਖਣਨ ਅਤੇ ਧਾਤੂ ਵਿਗਿਆਨ ਦੇ ਖੇਤਰ ਵਿੱਚ ਖੋਜ ਲਈ ਮੌਜੂਦਾ ਟੈਕਨੋਲੋਜੀ ਅਤੇ ਵਿਕਾਸ ਅਤੇ ਨਵੀਂ ਟੈਕਨੋਲੋਜੀ ਨੂੰ ਸਾਂਝਾ ਕਰਨ ਦੇ ਜ਼ਰੀਏ ਇੱਕ ਦੂਜੇ ਦੇ ਦੇਸ਼ ਵਿੱਚ ਕੁਦਰਤੀ ਸਰੋਤਾਂ ਦੇ ਪ੍ਰਭਾਵੀ ਉਪਯੋਗ ਲਈ ਸੰਯੁਕਤ ਪ੍ਰੋਜੈਕਟਾਂ ਦਾ ਪਤਾ ਲਗਾਉਣ ਲਈ ਮਿਲ ਕੇ ਕੰਮ ਕਰਾਂਗੇ।
| 2 | NIv2 | task1005_pib_translation_malayalam_punjabi | fs_opt | [
-0.4069780707359314,
0.8241937160491943,
-0.3467925786972046,
-0.05624571070075035,
-0.17905104160308838,
-0.34088385105133057,
0.20852407813072205,
0.2455006241798401,
-0.09639156609773636,
0.05997424200177193,
-0.18723034858703613,
0.3198968768119812,
-0.011195104569196701,
0.13711716234... |
Given the task definition and input, reply with output. This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
handsome , beautiful , articulate sons who are talented and star athletes ... ... and t... | handsome , beautiful , drawn-out sons , who will have talent , and will be stars in athletics ... ... who will lose their feet ! | 5 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.8052598237991333,
1.0336456298828125,
-0.034316930919885635,
-0.2352546751499176,
-0.14022883772850037,
0.288900762796402,
0.36882293224334717,
-0.07876715064048767,
0.1517477035522461,
-0.9111084938049316,
-0.8144595623016357,
0.6320717334747314,
-0.6087008118629456,
-0.002037591068074... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Problem:Quindi iniziò con una linea, e poi due, 4, 16 e così via.
Solution: | Así que comienza con una línea, luego con dos, luego cuatro, luego 16, y así sucesivamente. | 8 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.7023062109947205,
0.9253718852996826,
-0.16271549463272095,
-0.8748298287391663,
-0.3713582754135132,
0.17536309361457825,
-0.028419729322195053,
1.7909574508666992,
-0.09431473910808563,
-0.3561645746231079,
-0.2512063980102539,
-0.5903707146644592,
-0.7273139357566833,
0.0759985595941... |
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
[EX Q]: Sorry, there is no active reservation on your name.
[EX A]: agent
[EX Q]: Sure, could you please let me know your dates of journ... | customer
| 6 | NIv2 | task575_air_dialogue_classification | fs_opt | [
-0.21423298120498657,
-0.5981590747833252,
0.2440512478351593,
-1.1172950267791748,
0.018812062218785286,
-0.18434175848960876,
1.2162284851074219,
-0.08547718822956085,
0.1337662935256958,
0.2756689190864563,
0.25012803077697754,
-0.3441030979156494,
-0.9596787691116333,
-0.32235485315322... |
Definition: "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 two responses, identify which response is the type of "yes, and".... | Response 2 | 2 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.22584055364131927,
0.740448534488678,
0.33130189776420593,
-0.22680403292179108,
0.06185857951641083,
-0.8170087933540344,
0.6722380518913269,
0.3627944588661194,
0.2213575541973114,
-0.1735854148864746,
-0.6556661128997803,
-0.069991834461689,
-0.9759565591812134,
0.09733720123767853,
... |
Instructions: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Input: Sentence-1: I never read scary stories.<sep>Sentence-2: I am a fan of Stephen King .
Output: | Yes | 3 | NIv2 | task566_circa_classification | zs_opt | [
-1.1529109477996826,
-0.2426542043685913,
0.4965208172798157,
-0.4790298640727997,
0.5434431433677673,
-0.6622134447097778,
0.6715953350067139,
0.28420519828796387,
0.27435338497161865,
-0.21060360968112946,
0.1957589089870453,
-0.5306878685951233,
-1.06380295753479,
-0.6583612561225891,
... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | reflexology. | 3 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.009658949449658394,
0.7245383262634277,
0.267646849155426,
-0.30475422739982605,
-0.2964596748352051,
-1.1414473056793213,
0.06474843621253967,
0.41800278425216675,
0.0611419677734375,
-0.11700747162103653,
-0.885862410068512,
0.2179226130247116,
-0.022714920341968536,
-0.054755844175815... |
Teacher: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., se... | no | 2 | NIv2 | task472_haspart_classification | fs_opt | [
-0.6396793723106384,
0.1787497103214264,
0.5801488161087036,
0.09473074972629547,
-0.1667211651802063,
-1.1482763290405273,
0.12113846838474274,
0.7524987459182739,
0.507408857345581,
-0.478782594203949,
-0.33600914478302,
0.0541062168776989,
-0.26033204793930054,
0.2159300148487091,
0.9... |
TASK DEFINITION: In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
PROBLEM: Premise: H... | Contradiction
| 8 | NIv2 | task1387_anli_r3_entailment | fs_opt | [
-0.08844975382089615,
0.8711298108100891,
-0.2481926679611206,
-0.0367375910282135,
0.036744125187397,
0.04169834405183792,
0.39023661613464355,
0.7104185819625854,
0.16680499911308289,
-0.8574087619781494,
-0.7540629506111145,
0.6485790014266968,
-0.6979301571846008,
-0.5384246706962585,
... |
We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gun control. An ... | Valid
| 3 | NIv2 | task150_afs_argument_quality_gun_control | fs_opt | [
0.011966885067522526,
0.6187861561775208,
0.24010077118873596,
-0.359441876411438,
-0.21370792388916016,
-1.5338070392608643,
0.34647202491760254,
0.6636645793914795,
0.3562941551208496,
0.37948399782180786,
-0.5614258050918579,
-0.4756395220756531,
-0.476612389087677,
-0.07282650470733643... |
Part 1. Definition
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Part 2. Example
['238', 'h', '92', 'U', '2799']
Answer: 3
Expla... | 18 | 7 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.016654275357723236,
0.18253512680530548,
-0.49958914518356323,
-0.6950604319572449,
0.1882699579000473,
0.010234213434159756,
0.7559855580329895,
0.1285364180803299,
-0.6104134917259216,
0.4498871862888336,
-0.947472095489502,
0.1446542888879776,
0.00311063090339303,
-0.4013118743896484... |
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
Input: Consider I... | Output: 120
| 2 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.25923627614974976,
0.4650402367115021,
0.11265156418085098,
-0.06376791000366211,
-0.35581862926483154,
0.0983627438545227,
0.08115239441394806,
0.2276420146226883,
0.618979811668396,
-0.2055930197238922,
-0.5586535930633545,
-0.10345549881458282,
-0.42002159357070923,
-0.15150004625320... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Swedish 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).
Det inledande besl... | The initial decision to apply the precautionary principle depends largely on the level of protection sought and the level of risk that decision-makers are prepared to accept for society. | 5 | NIv2 | task312_europarl_sv_en_translation | zs_opt | [
-0.575105607509613,
0.7139484286308289,
0.6250957250595093,
-0.5301886200904846,
-0.08366065472364426,
0.043356359004974365,
0.6579649448394775,
0.2829281687736511,
0.607475757598877,
-0.34730786085128784,
-0.5480611324310303,
0.8224762082099915,
-0.6290108561515808,
-0.2429150938987732,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Example: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Output: Poradzi sobie, ale trzeba na nią uważać.
The Arabic sentence is correctly translated ... | Sęk w tym, że nasza wielka opowieść i na to ma odpowiedź. | 1 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
0.20069807767868042,
1.102136492729187,
0.12467300891876221,
-0.20629364252090454,
-0.10066411644220352,
0.042066290974617004,
0.7162386178970337,
-0.34115609526634216,
0.31461217999458313,
0.09566903859376907,
-0.7333160638809204,
0.4921596050262451,
-0.4817661643028259,
0.160171836614608... |
Given the task definition and input, reply with output. In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, b... | Mini Cooper | 5 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
0.2723056674003601,
0.5910853147506714,
0.3791622817516327,
-0.1929430067539215,
0.039512552320957184,
-0.25947105884552,
-0.576878011226654,
0.5175317525863647,
-0.03127981722354889,
-0.17222100496292114,
0.009630724787712097,
0.5350120663642883,
0.6963251233100891,
0.04646529257297516,
... |
Detailed Instructions: 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.
Q: This man feels terrified.
A: | fear | 9 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.43047958612442017,
0.4421325922012329,
0.5456407070159912,
-1.114076018333435,
-0.08546780794858932,
-0.607762336730957,
1.083740234375,
0.8406093716621399,
0.14066815376281738,
-0.2210400253534317,
-0.9427003264427185,
-0.3629049062728882,
-0.7215605974197388,
-0.25689929723739624,
-... |
Given the task definition and input, reply with output. This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which... | What did China have when its government was first founded? | 5 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
-0.25184541940689087,
0.677804708480835,
0.2340676486492157,
0.6605515480041504,
-0.6565878391265869,
0.09939086437225342,
0.6757180094718933,
0.39645901322364807,
-0.20053642988204956,
0.16315729916095734,
-0.7956242561340332,
-0.3265174925327301,
0.07926125824451447,
-0.04003273695707321... |
Definition: In this task, you are given dvd product reviews in Japanese 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.
Input: 有名無名の役者たちのせめぎあいに魅せられる。 . 面白い、原田真人得意の群像ドラマ、「金融列島・呪縛」以来の傑作じゃないか。 ５２０人もの犠牲... | POS | 2 | NIv2 | task486_cls_japanese_dvd_classification | zs_opt | [
0.5123714804649353,
-0.6530817151069641,
-0.32719019055366516,
-0.1643924117088318,
0.8668751120567322,
0.17711526155471802,
1.2088383436203003,
0.9050180912017822,
-0.22909075021743774,
-0.027237970381975174,
-0.4204542934894562,
0.3996322453022003,
-0.41217511892318726,
0.189045220613479... |
Given the task definition and input, reply with output. In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avo... | Jimmy wanted to lose weight. | 5 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.19370272755622864,
1.0061370134353638,
-0.009438032284379005,
-0.5331481695175171,
-0.39347004890441895,
0.2645571231842041,
-0.014761330559849739,
0.5725408792495728,
0.11749093234539032,
-0.40549299120903015,
-0.9456648826599121,
0.2263476550579071,
-0.24099476635456085,
-0.0858688354... |
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
کانفرنس کےد وران درج ذیل خدمات کا آغاز کیا گیا | Following services launched during the Conference: | 0 | NIv2 | task1058_pib_translation_urdu_english | zs_opt | [
0.6607856154441833,
0.7980268597602844,
-0.3398232161998749,
-0.4119754433631897,
-0.29722830653190613,
-0.1981678009033203,
0.09567982703447342,
0.20625922083854675,
0.34659987688064575,
-0.37643295526504517,
0.43709081411361694,
-0.7883313894271851,
-0.7606617212295532,
1.006100893020629... |
Q: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
I (26 M, married) have... | starting my workplace's shutdown early and calling out a coworker | 7 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.35355859994888306,
-0.10552352666854858,
-0.13988694548606873,
-0.34666645526885986,
0.5327020883560181,
-0.17878592014312744,
0.09061382710933685,
0.47088441252708435,
-0.2572000324726105,
0.19425497949123383,
0.22289323806762695,
0.29449155926704407,
-0.3165903687477112,
-0.00614277040... |
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.
Let me give you an example: Tracy slept awkwardly on their new bed and was having some pain, so Tracy cracked her neck.
The answer to this example can be: What did Tracy d... | How would you describe Remy? | 8 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.26965659856796265,
0.6529053449630737,
-0.0018756890203803778,
-0.3373575806617737,
-0.25267964601516724,
-1.0508853197097778,
0.8338665962219238,
0.2633377015590668,
-0.13186770677566528,
0.7769368290901184,
-0.12259746342897415,
-0.2776276469230652,
-0.7262351512908936,
0.5191189050674... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Example Input: Question: How many years ha... | He worked at Sega in 1993, working on ToeJam & Earl in Panic on Funkotron (1993) as a lead tester, before working at Crystal Dynamics from 1994 to 1998, working on Gex (1998) as a programmer, and (1998) as lead designer
| 3 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
0.5839312076568604,
0.5409523248672485,
-0.46376609802246094,
0.14526265859603882,
0.19440658390522003,
-0.71190345287323,
1.2307960987091064,
1.5217069387435913,
0.18057364225387573,
0.23491932451725006,
-0.17283254861831665,
0.321090430021286,
-0.8148590922355652,
0.2830629348754883,
0... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
[Q]: 7744 - 1859 - 3667 + 1907 - 2807
[A]: 14170
[Q]: 9885 + 402 + 66 + 4818... | 36370
| 5 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.6315976977348328,
0.6192126274108887,
-0.9440007209777832,
0.09705416858196259,
-0.4469722807407379,
-0.3907637596130371,
0.8299952745437622,
1.4095333814620972,
0.4604128897190094,
-0.4243382215499878,
-0.5822033286094666,
-0.4130208194255829,
-0.47096091508865356,
0.11215776950120926,... |
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.
Ex Input:
[88, -97, -7, -16, -38, -93, 14, 7, -33, -92]
Ex Output:
[88, -9... | [-61, -55, -25, 71, 76, 86, 29, -25, -17, -20]
| 1 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
-0.33470985293388367,
-0.10457310825586319,
-0.7731698751449585,
-0.20417307317256927,
0.364812970161438,
0.6244044303894043,
0.7611231803894043,
0.37962567806243896,
-0.4935441017150879,
0.2806534171104431,
-0.5632072687149048,
0.20015904307365417,
-0.12297438830137253,
-0.576503276824951... |
A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
വിദേശ ഇന്ത്യന് സമൂഹവുമായി നിരന്തരബന്ധം പുലര്ത്തുകയെന്നത് സുപ്രധാനമാണെന്നും തന്റെ ഗവണ്മെന്റ്ിന്റെ പ്രധാന മുന്ഗണനകളിലൊന്നാണതെന്നും പ്രധാനമന്ത്രി അ... | તેમણે સરકારની પ્રાથમિકતાનાં મુખ્ય ક્ષેત્રો સ્વરૂપે પ્રવાસી ભારતીય સમુદાય સાથે સંબંધોને મહત્વ આપવા પર ભાર મૂક્યો હતો. | 0 | NIv2 | task1042_pib_translation_malayalam_gujarati | zs_opt | [
-0.4614828824996948,
0.6451968550682068,
0.06155793368816376,
-0.6817028522491455,
-0.08805322647094727,
-0.12177473306655884,
0.39842677116394043,
-0.13449430465698242,
-0.9051434993743896,
-0.28538763523101807,
-0.49159935116767883,
-0.1475801169872284,
-0.9419411420822144,
0.34196555614... |
Detailed Instructions: In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recip... | ham | 4 | NIv2 | task109_smsspamcollection_spamsmsdetection | fs_opt | [
-0.7136658430099487,
-0.023778975009918213,
0.5258796215057373,
-0.6072370409965515,
0.3299657106399536,
-0.7720525860786438,
0.40992552042007446,
-0.007290736306458712,
-0.6019846200942993,
0.5004397630691528,
-0.28304755687713623,
0.4091949462890625,
-0.5365884304046631,
-0.2719904184341... |
In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
--------
Question: Sentence1: Can seroquel (que... | Similar
| 7 | NIv2 | task1645_medical_question_pair_dataset_text_classification | fs_opt | [
-0.2965739369392395,
0.4582796096801758,
0.22641247510910034,
0.05845694988965988,
0.026193106546998024,
-0.21405327320098877,
0.8844367861747742,
0.6150118112564087,
0.42834582924842834,
-0.10306691378355026,
-0.41757166385650635,
0.13356737792491913,
-0.6843787431716919,
0.15437074005603... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Example: (Applause) However there is a political battle in our country.
Example solution: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
Example explanation: The English sentence is correctly translated into Arabic, because the... | Solution: وهذا ما يجعل من الميكرو رنا علامة بيولوجية واعدة للكشف عن السرطان ، لأنه وكما تعلمون ، السرطان هو تشوه في التعبير الوراثي. | 5 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
0.05212337151169777,
0.4398522675037384,
0.4579559862613678,
-0.9668890237808228,
0.10428550839424133,
-0.4606623649597168,
0.6958714723587036,
-0.12208302319049835,
0.18864086270332336,
0.2513774037361145,
-0.7875596880912781,
0.4870351552963257,
-0.7890678644180298,
0.24517405033111572,
... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Example Input: [344, 313, 186, 811, 481, -30]
Example Output: [340, 310, 190, 810, 480, -30]
Example Input: [-244, 128, 0, 831, -576, -86, -... | [-400, 560, -950, -490, 100, 820, -540, 930, -310, -30, 460, 310]
| 3 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.835843563079834,
0.15287412703037262,
-0.25833800435066223,
-0.23394803702831268,
-0.3798392415046692,
-0.036648280918598175,
0.8420487642288208,
0.11454980075359344,
-0.5576285123825073,
0.05844452977180481,
-1.0582771301269531,
0.31709396839141846,
-0.5558568239212036,
-0.097344592213... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Innymi słowy, to nie akt Boży powinniśmy pominąć. | En otras palabras, no son los casos fortuitos lo que debemos dejar de lado. | 0 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-0.4563028812408447,
1.083319902420044,
-0.20768484473228455,
0.1912742555141449,
-0.3757595419883728,
-0.11558309197425842,
1.0299150943756104,
0.14247402548789978,
0.05668896436691284,
-0.11719420552253723,
0.473313570022583,
-0.05840521305799484,
-0.2572123408317566,
0.13000734150409698... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
178 mm de chuva caíram em muito pouco tempo.
Output: | 180 milímetros de chuvia nun período de tempo moi curto. | 1 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-0.9188715815544128,
1.387492299079895,
-0.3502286672592163,
-0.9767398834228516,
0.09090673178434372,
-0.9145488739013672,
-0.3494487404823303,
0.572985053062439,
-0.1464216709136963,
-0.12524309754371643,
-0.48136597871780396,
0.06785006821155548,
-0.4337248206138611,
0.3790823817253113,... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Example: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Output: (Śmiech) Opublikował wiele filmów o przyrodzie.
The Italian sent... | Dam wam jeden przykład. | 1 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-1.1336830854415894,
0.7470959424972534,
-0.22192630171775818,
0.2503637671470642,
-0.5720207691192627,
0.35776448249816895,
0.48425227403640747,
0.6104055643081665,
-0.3439120352268219,
-0.45764297246932983,
-0.5831292867660522,
0.4978938698768616,
-0.09815636277198792,
0.3078699707984924... |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Example Input: name[xname], recommend[yes], cuisine[Spanish], decor[good], qual[acceptable], location[Manhattan], price[expensive], service[good]
... | Near xnear in the city centre is a French restaurant called xname.
| 3 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.4738345146179199,
0.7497916221618652,
-0.8178049325942993,
-0.35530781745910645,
-0.28174889087677,
0.2199605405330658,
0.7477893233299255,
0.7447727918624878,
0.11131882667541504,
-0.6510591506958008,
0.5957447290420532,
0.10263236612081528,
-0.5862593054771423,
-0.05142296105623245,
... |
Q: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Fact1: electrocution causes harm to an organism, Fact2: Electrical shock Electric shock is caused by current passing through the human body., Question: Wha... | F | 7 | NIv2 | task1297_qasc_question_answering | zs_opt | [
0.1667618602514267,
0.3565559387207031,
-0.22833065688610077,
-0.20521274209022522,
-0.055456168949604034,
-1.157954216003418,
0.15878349542617798,
0.3618519902229309,
-0.11662786453962326,
0.39172443747520447,
-0.1849919557571411,
-0.15179577469825745,
-0.4667801856994629,
-0.587885856628... |
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be... | "Bilirakis said, ""Florida has reduced its carbon emissions by 20 percent since 2005."" It may not be immediately clear from Bilirakis’ speech, but he’s only talking about carbon dioxide emissions from power plants that would be affected by the EPA’s Clean Power Plan. Those are the guidelines that would be put on hold ... | 3 | NIv2 | task1369_healthfact_sentence_generation | fs_opt | [
0.565466582775116,
0.40346482396125793,
-0.40897858142852783,
-0.04562625288963318,
1.0484364032745361,
-0.4058058559894562,
0.5571200251579285,
1.1055293083190918,
0.1319744884967804,
0.775598406791687,
-0.06816723942756653,
0.6611526012420654,
-0.2258722186088562,
0.28864240646362305,
... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
One example: JkbloNUq, nYblowj
Solution is here: b, j, k, l, n, o, q, u
Explanation: Here, 'JkbloNUq' is the longer string among ... | a, c, f, h, j, l, m, p, r, t, u, x, y, z | 6 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.1701507717370987,
1.377626657485962,
-0.5865094065666199,
-0.7508159279823303,
0.017013609409332275,
-0.15976810455322266,
1.0003893375396729,
-0.23198312520980835,
-0.1800851821899414,
0.46062323451042175,
-0.03308697044849396,
-0.2391931712627411,
-0.29734304547309875,
0.2031779885292... |
Q: 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 to det... | Yes | 7 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.6149461269378662,
0.23978406190872192,
0.4515245854854584,
-0.19490891695022583,
-0.5112895965576172,
-0.690681517124176,
1.3385270833969116,
0.3337048888206482,
-0.3143891990184784,
-0.7706602811813354,
-0.45029231905937195,
-0.2974265217781067,
-1.0661369562149048,
0.5158070921897888,
... |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second enti... | no
| 5 | NIv2 | task472_haspart_classification | fs_opt | [
-0.5451701283454895,
0.12353402376174927,
0.5271360278129578,
-0.2874298095703125,
-0.26669156551361084,
-1.0486345291137695,
0.13309085369110107,
0.589768648147583,
0.3974003493785858,
-0.3428473472595215,
-0.437364399433136,
0.009999179281294346,
-0.33010247349739075,
0.00751784164458513... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | Output: NOT
| 2 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-1.2744662761688232,
0.6074674725532532,
0.30361121892929077,
0.4858337640762329,
-0.2538691759109497,
-0.6322430372238159,
0.26949551701545715,
0.44887328147888184,
0.5222625732421875,
0.25444296002388,
0.006827989127486944,
0.22024071216583252,
0.09289472550153732,
-0.8733847141265869,
... |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Solution: Good | 5 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.4269294738769531,
0.6017744541168213,
-0.06154543161392212,
-0.4306172728538513,
-0.4531022012233734,
-0.46889641880989075,
0.3141498565673828,
-0.07846509665250778,
0.09768916666507721,
0.27705204486846924,
-0.43656253814697266,
-0.12151630222797394,
-0.7803903818130493,
-0.07191943377... |
Q: A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
ప్రధాన మంత్రి కార్యాలయం
A: | പ്രധാനമന്ത്രിയുടെ ഓഫീസ് | 7 | NIv2 | task1050_pib_translation_telugu_malayalam | zs_opt | [
0.08607659488916397,
0.6211864948272705,
-0.017876919358968735,
-0.027715139091014862,
0.48118114471435547,
-1.2699871063232422,
0.2830420136451721,
0.14125405251979828,
0.01048100646585226,
-0.47131937742233276,
0.03029049187898636,
-0.6072250604629517,
-0.6983361840248108,
0.717185497283... |
Part 1. Definition
Adverse drug reactions are appreciably harmful or unpleasant reactions resulting from an intervention related to the use of medical products, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the produ... | non-adverse drug event | 7 | NIv2 | task1495_adverse_drug_event_classification | fs_opt | [
0.7272618412971497,
0.43720483779907227,
-0.8544778823852539,
-0.7781140804290771,
-0.6025235652923584,
-0.04461980238556862,
0.4727250933647156,
0.8258165121078491,
0.9032572507858276,
0.3793989419937134,
-0.7533156871795654,
0.3012978434562683,
-0.43384265899658203,
-0.13178396224975586,... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes
****
| 4 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.8466519117355347,
-0.15971341729164124,
0.2776738405227661,
-0.5042380094528198,
0.08700957149267197,
-1.0827723741531372,
1.2518078088760376,
0.8849389553070068,
-0.6535284519195557,
-0.19941377639770508,
-0.3318336308002472,
0.06774048507213593,
-0.4392532408237457,
-0.0179192870855331... |
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 the resulting ... | 96661984 | 8 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.3745400011539459,
-0.265970915555954,
-0.503661036491394,
-0.724432110786438,
-0.21792423725128174,
-0.191531240940094,
-0.032043538987636566,
0.1616707593202591,
-0.8857036828994751,
-0.11621876806020737,
-1.2429795265197754,
0.08480462431907654,
0.12243054807186127,
-0.423295617103576... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | blue_bathtub | 0 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
-0.2748013138771057,
0.20775803923606873,
-0.3924833834171295,
-0.06671209633350372,
-0.44000086188316345,
-0.21864959597587585,
0.22693666815757751,
0.8214061856269836,
0.23308539390563965,
-0.19135472178459167,
-0.08008481562137604,
0.5390836000442505,
-0.21174265444278717,
0.21434405446... |
Detailed Instructions: In this task your given two statements in Tamil. 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.
Q: துப்பறிவாளர்கள் குற்றம் நிகழ்ந்த இடத்திலிர... | effect | 9 | NIv2 | task1177_xcopa_commonsense_cause_effect_ta | zs_opt | [
-0.17004738748073578,
0.270557165145874,
-0.06896112859249115,
-0.5120096206665039,
-0.05549056455492973,
-0.18635481595993042,
-0.2711445689201355,
1.1004438400268555,
0.3037227988243103,
0.5489944219589233,
0.005998359527438879,
0.5254748463630676,
-0.42164427042007446,
0.257663816213607... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | other | 9 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
0.0015310703311115503,
0.08922459185123444,
-0.5746604204177856,
0.866857647895813,
0.40677908062934875,
0.138963520526886,
0.6011035442352295,
0.8519006967544556,
-0.26115453243255615,
0.29506924748420715,
0.39661675691604614,
0.31477004289627075,
-0.3542662262916565,
-0.1745011955499649,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
اما این کارگر عملاْ وضعیتی را تجربه می کند که ما توصیف نمودیم.
Output: | But this pick worker now is literally having that experience that we described before. | 1 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.6910558342933655,
0.5186895728111267,
0.023427285254001617,
0.11028186976909637,
-0.22953805327415466,
0.28131353855133057,
0.27326226234436035,
0.6307363510131836,
1.0739246606826782,
0.3811156153678894,
-0.3845730721950531,
0.1570436656475067,
0.16229403018951416,
0.07440685480833054,... |
You are given a statement written in Telugu. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: గ్రామంలో అంగన్ వాడీ కేంద్రం, ఇతర పోషకాహార కేంద్రాలు, ఆశా కార్యకర్త ఉన్నాయి. గ్రామంలో వార్తాపత్రిక పంపిణ... | వికారాబాద్లో
| 0 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
0.8798521757125854,
0.10322899371385574,
0.44064271450042725,
0.13141463696956635,
0.5443056225776672,
-1.1673332452774048,
0.8021365404129028,
0.8767211437225342,
-0.5512132048606873,
0.0687193050980568,
-0.19186058640480042,
0.47556596994400024,
-0.5990625619888306,
0.016621891409158707,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
אבל האמת היא, ההוכחה פשוט לא עבדה.
Output: | Pero la verdad es que la prueba simplemente no funcionaba. | 1 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.7361370921134949,
0.8783323764801025,
0.15640327334403992,
-0.12979191541671753,
-0.4227384924888611,
0.4657127559185028,
0.3637015223503113,
0.6932332515716553,
0.799140453338623,
-0.5667418241500854,
-0.5723398327827454,
-0.17183780670166016,
-0.10099557042121887,
-0.12598158419132233... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Input: Consider Input: As instituições desta sociedade global podem ser criadas pelo nosso trabalho.
Output: Con nosos esforzos podemos crear as institucións desta sociedade global;
Input: Consider Input: Andámos... | Output: Crecín entre aqueles animais.
| 2 | NIv2 | task1279_ted_translation_pt_gl | fs_opt | [
-0.5656458139419556,
1.5653783082962036,
0.35726919770240784,
0.007684652227908373,
-0.42167818546295166,
-1.0284459590911865,
-0.6214984655380249,
1.302931785583496,
0.044227950274944305,
-0.4450056254863739,
-0.19006876647472382,
0.22393125295639038,
-0.8315573930740356,
-0.4823594093322... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes | 3 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.09361013770103455,
-0.14557978510856628,
0.308422327041626,
0.21340814232826233,
-0.1667633354663849,
-1.2169703245162964,
0.6535230875015259,
0.7027511596679688,
-0.7376116514205933,
-0.08052676916122437,
-0.25273358821868896,
-0.10966254770755768,
-0.709213137626648,
-0.017669709399342... |
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.
See one example below:
Problem: Comment: Presid... | Sexual-explicit | 4 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.985033392906189,
0.064653679728508,
0.36701422929763794,
0.20204803347587585,
-0.056337468326091766,
-0.16756145656108856,
-0.20760664343833923,
0.453593909740448,
0.14179761707782745,
0.33133167028427124,
0.47586649656295776,
-0.07942566275596619,
-0.15813976526260376,
-0.9910717010498... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Cercate la sentenza Brown contro l'Ufficio Scolastico di Topeka, Kansas nel 1954; la separazione delle razze è illegale adesso. | Vem Brown contra o Conselho de Educação de Topeka, no Kansas, em 1954. A separação legal das raças passou a ser ilegal. | 0 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
0.6760792136192322,
0.5325280427932739,
0.019233502447605133,
0.19183284044265747,
-0.14388079941272736,
-0.8453842997550964,
-1.1592772006988525,
1.0615217685699463,
0.08307141065597534,
-0.05749346688389778,
-0.2079770863056183,
-0.022960733622312546,
-0.0036990251392126083,
0.0468632392... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
See one example below:
Problem: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Solution: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Explan... | Quindi un paio di giorni dopo la diagnosi, siamo andati in Vermont, e ho deciso di mettere Jeff come prima persona nel comitato dei papà. | 4 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.18403670191764832,
0.02027282863855362,
-0.45673537254333496,
-0.45607301592826843,
-0.04798686504364014,
-1.0898756980895996,
0.6730486154556274,
0.9757318496704102,
0.4006091356277466,
0.018724827095866203,
-0.6915977001190186,
0.869762659072876,
-0.49373483657836914,
0.39384090900421... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to... | She is ready for the race >Causes/Enables> She runs amazingly
| 3 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.10367906093597412,
0.714493989944458,
-0.17582319676876068,
0.4039461612701416,
0.006081028375774622,
-0.7411485314369202,
0.03854026645421982,
1.2636054754257202,
-0.38907936215400696,
0.2282395213842392,
-1.21600341796875,
0.39607858657836914,
-0.27160802483558655,
-0.8404563069343567,... |
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is 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 i... | unrelated
| 7 | NIv2 | task319_stereoset_classification_profession | fs_opt | [
-0.37121689319610596,
0.6048181056976318,
-0.028196027502417564,
0.2349095195531845,
-0.03347441554069519,
-0.48738691210746765,
0.413091242313385,
0.9151358604431152,
0.5780842304229736,
0.017671428620815277,
-0.43448320031166077,
-0.3559296727180481,
-0.8188815712928772,
-0.0593844465911... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Output: Against
| 2 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.20670977234840393,
0.2818630039691925,
-0.22660931944847107,
0.03486701846122742,
0.01552116870880127,
-1.046910047531128,
0.29065507650375366,
0.9395939111709595,
0.43678930401802063,
0.22620728611946106,
-0.29808279871940613,
-0.09150649607181549,
0.190310537815094,
-0.2375649064779281... |
Detailed Instructions: You are given a statement written in Tamil. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: 1930களில் நடுவில், <MASK> நேபாள பிரதம அமைச்சருக்கு எதிராக, மக்கள் போர்க்கொடி தூ... | ராணா | 9 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.48776334524154663,
1.1762442588806152,
-0.13068357110023499,
0.17948010563850403,
-0.11292767524719238,
-0.6088269352912903,
0.7050260305404663,
0.6764938235282898,
-0.0037824870087206364,
0.5514655113220215,
-0.37562891840934753,
0.958672046661377,
-0.38464581966400146,
-0.2612819075584... |
Q: Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of i... | Mi material está concebido sobre los eventos acumulados de mi depresión. | 7 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.3717499375343323,
0.5854825973510742,
-0.27851739525794983,
-0.47672808170318604,
-0.08325091749429703,
-0.7826727628707886,
0.7923035621643066,
1.4733076095581055,
0.06858735531568527,
-0.9139183759689331,
-0.817859411239624,
0.2826756238937378,
-1.032761573791504,
0.5373778343200684,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
نشأتُ في "" كينيا "" عرفتُ دومًا أنني أرغبُ في دراسة الكيمياء الحيوية.
Dorastając w Kenii, wiedziałam, że chcę studiować biochemię.
كريس: أي إن ما تقترحه هو مقولة بيشب بيركلي بشكل حديث تفسير وترجمة العالم الإحساس يصنع المادة... | Niemal poczułem się winny za tak podnoszący na duchu wykład na temat przyszłości.
| 0 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-0.3474693298339844,
0.11564025282859802,
0.12252320349216461,
-0.8850326538085938,
-0.5348669290542603,
-0.35421961545944214,
0.5948964357376099,
0.26748502254486084,
0.1963900625705719,
0.41544967889785767,
-0.17337507009506226,
0.5051385760307312,
-1.0158958435058594,
0.620320200920105,... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes... | Inversion | 1 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.15128439664840698,
0.19039839506149292,
0.38940882682800293,
0.6404584646224976,
0.29171115159988403,
-0.5777921676635742,
0.5009152889251709,
0.7838183045387268,
0.19320926070213318,
-0.26915353536605835,
-0.8252810835838318,
-0.7215371131896973,
-0.12789112329483032,
-0.10800572484731... |
instruction:
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
question:
منذ 2007 في كل شهرين تغلق المدينة الشوارع المزدحمة لحركة المرور وتحولها الى ملعب للأطفال والطفولة.
answer:
2007年以来ふた月に一度市が目抜き通りを閉鎖して幼児と児童の遊び場にしています
question:
وبينما هي في طريقها لاحظت السائق يفتح الن... | 地球の重力によって投げ上げたリンゴの上昇が次第に遅くなるように地球の重力によって投げ上げたリンゴの上昇が次第に遅くなるように銀河同士の重力がお互いに作用しあって銀河同士の重力がお互いに作用しあって膨張の速度を衰えさせているはずです膨張の速度を衰えさせているはずです
| 9 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
-0.9780138731002808,
0.7812138795852661,
-0.001210939371958375,
-0.6645418405532837,
-0.5561772584915161,
0.2675836682319641,
0.8999501466751099,
0.029908912256360054,
0.24540975689888,
-0.6482638716697693,
-0.8308610320091248,
0.91988205909729,
-0.9024189114570618,
0.5752859115600586,
0... |
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 need to Translate Czech text to English.
Řešení se týká herbicidů a regulátorů růstu rostlin, obzvláště herbicidů pro selektivní potírání plevelů v kulturách užitkových rostlin. Ko... | The invention is within the field of mathematical construction machines. It is lockable the key that controls your own closing door and table covers and cabinets mathematical machines, unlocking is required closing devices using only of a flat tool (screwdriver) with it also meets the requirement of visual signa... | 0 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
0.17153723537921906,
0.4565168023109436,
-0.2792932391166687,
0.4111253023147583,
0.1947525292634964,
-0.36511558294296265,
0.7113800048828125,
0.7207155227661133,
0.47890400886535645,
0.33097007870674133,
-0.6733594536781311,
0.6771067380905151,
-0.2828806936740875,
0.4509870111942291,
... |
Q: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an adjunct islan... | bad | 7 | NIv2 | task1559_blimp_binary_classification | zs_opt | [
0.3200538456439972,
0.8769463300704956,
0.3143937885761261,
-0.9893642663955688,
-0.5851414203643799,
-1.9769396781921387,
0.4865437150001526,
-0.07588796317577362,
0.4611222743988037,
0.2530061602592468,
0.21121545135974884,
0.1805771440267563,
-0.7665155529975891,
0.045273710042238235,
... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | Solution: No | 5 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-1.3504128456115723,
0.35102924704551697,
0.5866369009017944,
-0.044062115252017975,
0.02661798894405365,
0.1917589008808136,
0.5035436153411865,
0.47772371768951416,
0.41664624214172363,
0.1534566879272461,
0.5717877149581909,
-0.46375149488449097,
-0.6310924291610718,
-0.7602890729904175... |
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
One example is below.
Q: All of us here are pleased that the courts have acquitted... | Spanish | 9 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
0.003754850011318922,
0.9136886596679688,
0.8823528289794922,
-0.3576808571815491,
0.06938761472702026,
-0.5320776700973511,
0.08010050654411316,
1.1497244834899902,
0.3185197114944458,
-0.23086029291152954,
-0.3322482407093048,
0.14935222268104553,
-0.09347572177648544,
-0.947253108024597... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
لقد كان يوماً رائعاً لوالدتي
| That was a great day for my mother. | 5 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.9330767393112183,
0.856947660446167,
0.259086012840271,
-0.11028324067592621,
-0.42303287982940674,
-0.607560932636261,
0.612616777420044,
0.3038400411605835,
0.5432876348495483,
-0.32751214504241943,
-0.37663203477859497,
0.42289334535598755,
-0.5971959829330444,
0.1324295699596405,
... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | jump around right after look around right twice | 4 | NIv2 | task131_scan_long_text_generation_action_command_long | zs_opt | [
0.349770724773407,
0.9668667316436768,
-0.3418332636356354,
-0.11665087193250656,
0.09840454906225204,
0.5315019488334656,
0.010430345311760902,
0.875920832157135,
-0.34155288338661194,
-0.3649691343307495,
-0.763317346572876,
-0.32306283712387085,
-0.7362097501754761,
-0.06026750430464744... |
Teacher: 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].
Teacher: Now, understand the problem? If you are still confused, see the following example:
At least Raheem Morris finally has the na... | Teen Keaton Jones | 2 | NIv2 | task419_persent_answer_generation | fs_opt | [
0.2791779041290283,
0.39519011974334717,
0.1419399529695511,
-0.13011884689331055,
-0.3613494038581848,
-0.326918363571167,
0.8166561126708984,
0.9001402854919434,
-0.3650791049003601,
0.019726604223251343,
0.27073514461517334,
0.5884420871734619,
0.10924016684293747,
-0.07191532105207443,... |
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 Spanish. Your job is to translate the Spanish sentence into Farsi.
Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia... | و بعد به سمت نزدیکترین درخت می دود و شروع به شکستن شاخه ها و پرت کردن سنگ ها می کنه و جوری ناسزا میگه که من تا حالا نشنیدم. | 0 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.3373319208621979,
0.6104577779769897,
-0.17638316750526428,
0.014532795175909996,
-0.30725541710853577,
-0.3729635179042816,
0.48122328519821167,
0.7946921586990356,
-0.6566402912139893,
-0.30347010493278503,
-0.39689651131629944,
0.19556359946727753,
-0.2482297122478485,
0.171283826231... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
که از (مقابل) شیرى فرار کردهاند!
Output: | Fleeing from a lion? | 1 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.95494145154953,
1.169838547706604,
-0.21536484360694885,
-0.4316551089286804,
-0.2873857617378235,
0.26952752470970154,
0.16936495900154114,
0.23085275292396545,
0.6404552459716797,
0.031222093850374222,
-0.38512200117111206,
0.14818218350410461,
-1.2625422477722168,
0.4710555374622345,... |
Detailed 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'.
Problem:Dialogue 1: 'wow u r acting as if u r a human foldedhandslightskinto... | yes | 8 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.5569316744804382,
0.3317006528377533,
0.5349833369255066,
-0.3442527651786804,
-0.3010939657688141,
0.2654044032096863,
0.836031436920166,
0.4780958592891693,
-0.002506292425096035,
-0.08377798646688461,
0.40121620893478394,
-0.5654654502868652,
-0.1096266359090805,
0.3209402859210968,
... |
Detailed Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Problem:Fact1: a ruler is used for measuring the length of an object, Fact2: Length indicates the buffer's size., Question: What is use... | D | 8 | NIv2 | task1297_qasc_question_answering | zs_opt | [
-0.8769954442977905,
0.17717590928077698,
-0.9322875738143921,
0.09484636783599854,
-1.1740604639053345,
-0.5068809986114502,
-0.18646374344825745,
0.23474785685539246,
0.4124774932861328,
-0.6357213258743286,
-0.8162186145782471,
0.30898207426071167,
-0.046239160001277924,
0.0593689754605... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes
****
| 4 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.4039616584777832,
-0.05884147062897682,
0.5905355215072632,
0.09349284321069717,
-0.4444615840911865,
-0.7267509698867798,
0.9498348236083984,
0.857175350189209,
-0.8267969489097595,
-0.21936354041099548,
0.000037354882806539536,
-0.6187222003936768,
-0.8135556578636169,
0.05872845649719... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Q: شما به همه مردم نیاز ندارید.
A: | You don't need everyone. | 4 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.44187188148498535,
0.9434733390808105,
-0.043208085000514984,
-0.18381166458129883,
-0.6784641742706299,
-0.43498340249061584,
0.7463714480400085,
-0.5756786465644836,
0.7237839698791504,
-0.611413836479187,
-0.5213388204574585,
0.5890259742736816,
-0.08983554691076279,
0.31652104854583... |
TASK DEFINITION: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
PROBLEM: English sentence: Lithuanian - Multiple Languages
SOLUTION: Lithuanian - kwere
PROBLEM: English sentence: So, the sceptical me decided to try out the Ultimate Sta... | Azụ ugbu a, nwere a mbughari ribbed, curved plastic azụ na a ọlaọcha metal mmanya na esetịpụ igwefoto.
| 8 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
0.23200353980064392,
0.4167773425579071,
0.15974867343902588,
-0.2788391709327698,
-0.3349776864051819,
0.265028715133667,
0.9257373809814453,
-0.02870592102408409,
0.44294095039367676,
-0.5237401723861694,
-0.4289339482784271,
1.0248701572418213,
-0.9270074963569641,
0.6163588762283325,
... |
Given the task definition and input, reply with output. In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
This article's plot summary may be too long or excessively de... | Answer: Laurel's pension. | 5 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.3916010558605194,
0.3129005432128906,
-0.4409685730934143,
-0.11389140039682388,
0.5670970678329468,
0.328403502702713,
0.5804229378700256,
0.8854717016220093,
-0.2665100395679474,
0.13281971216201782,
-0.4864916205406189,
0.27868446707725525,
-0.3030564486980438,
0.14839400351047516,
... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Example Input: Sentence: 'lots of sheep are standing in a field'. Count the number of vowels in the given sentence.
Example Output: 12
Example Input: Sentence: 'a ... | 22
| 3 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.37754175066947937,
0.48856687545776367,
-0.8286160230636597,
-0.37634915113449097,
0.2591239809989929,
-0.1859746277332306,
-0.3519681692123413,
0.9837281703948975,
-0.17479801177978516,
-0.2708688974380493,
-0.6007508039474487,
0.04405288025736809,
-0.06618999689817429,
-0.5232879519462... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
I can't play any very well.
Output: | You don't happen to play any instruments, do you? | 1 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.16449274122714996,
1.0691933631896973,
-0.2513774633407593,
-0.11706291884183884,
0.0010999066289514303,
-0.49042773246765137,
0.3340275287628174,
0.05337092652916908,
0.4698365032672882,
0.06846834719181061,
-0.3979921340942383,
-0.06253081560134888,
-0.6899732351303101,
-0.24215026199... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
[Q]: “Intelixente ” no mundo de hoxe en día é sinónimo de última tecnoloxía, e o mundo é máis e máis intelixente día a día.
[A]: "" Smart "" w dzisiejszych czasach kojarzy się z technologią, a świat mądrzeje z dnia na dzi... | Uświadomiło mi to, że nawet ludzie wychowani w mieście odczuwają naturalną więź z przyrodą i zwierzętami.
| 5 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-1.1790722608566284,
1.4691728353500366,
0.9167057275772095,
-1.0104831457138062,
-0.27260398864746094,
-1.824223518371582,
0.22115224599838257,
-0.30595695972442627,
-0.03904380649328232,
-0.13871370255947113,
-0.04476313292980194,
0.8662992715835571,
-0.060752786695957184,
0.369712918996... |
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