inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
TASK DEFINITION: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
PROBLEM: Mary recited the man a prayer
SOLUTION: Mary recited a prayer to ... | Mary slipped a pill to him
| 8 | NIv2 | task132_dais_text_modification | fs_opt | [
0.20398691296577454,
0.7161152362823486,
-0.17578740417957306,
-0.5568294525146484,
-0.35365957021713257,
-0.4220479726791382,
0.8329917788505554,
0.12635275721549988,
0.32295769453048706,
-0.632765531539917,
-0.8514692783355713,
-0.11886754631996155,
-0.4653376340866089,
0.022157166153192... |
Q: In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.... | None | 7 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.007185191847383976,
0.26245102286338806,
-0.09645552933216095,
-0.3995138108730316,
-0.6025117039680481,
-0.2061568945646286,
1.5700972080230713,
0.2462078332901001,
0.41443008184432983,
-0.7056678533554077,
-0.3819921016693115,
0.8029866218566895,
0.07495289295911789,
-0.13669696450233... |
Q: 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"
زمینلرزه، زلزله لرزش و جنبش زمین است که به علّت آزاد شدن انرژی تخلیه شده از سن... | True | 7 | NIv2 | task396_persianqa_classification | zs_opt | [
0.24234721064567566,
0.7698507308959961,
-0.2719992995262146,
0.21232977509498596,
-0.2619921565055847,
-0.11485753953456879,
1.1384844779968262,
0.5265988111495972,
0.14291580021381378,
-0.1574895977973938,
-0.8331599235534668,
1.1793334484100342,
-0.7514599561691284,
0.5466679930686951,
... |
Part 1. Definition
A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence.
Part 2. Example
ਸਾਥੀਓ , ਰਾਮਚਰਿਤ ਮਾਨਸ ਵਿੱਚ ਇੱਕ ਚੌਪਈ ਹੈ । ਗੋਸਵਾਮੀ ਤੁਲਸੀਦਾਸ ਜੀ ਨੇ ਲਿਖਿਆ ਹੈ ਕਿ ਭਗਵਾਨ ਰਾਮ ਕਿਸੇ ਦਾ ਵਿਅਕਤਿਤਵ ਸਮਝਾਉਂਦੇ ਹੋਏ ਕਹਿ... | Ancient Indias expertise in metallurgy is also well known. Our many ports and harbours and the worlds oldest dockyard at Lothal bear evidence to vibrant trade linkages. | 7 | NIv2 | task1008_pib_translation_punjabi_english | fs_opt | [
-0.1310688853263855,
0.5657827854156494,
0.3267410397529602,
-0.4044302701950073,
0.19278359413146973,
-0.5422636866569519,
0.6375435590744019,
0.60212242603302,
-0.17844106256961823,
0.40253177285194397,
-0.8379900455474854,
-0.052630066871643066,
-0.790245532989502,
-0.25979363918304443,... |
Detailed Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the buildin... | I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_RUN | 4 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.0687849223613739,
0.5387976765632629,
-0.4195513129234314,
-0.20555056631565094,
0.14052288234233856,
0.13695171475410461,
0.47579461336135864,
0.09440026432275772,
-0.3467952013015747,
-0.349054217338562,
-0.7746089696884155,
-0.31185752153396606,
-0.8347952961921692,
-0.012351801618933... |
Part 1. Definition
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Part 2. Example
życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsiln... | אבל אז הם חשדו בנו, שהיה ארכיטקט מאחורי הפרוייקט. | 7 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.6397990584373474,
0.6723591089248657,
-0.19398656487464905,
-0.14052033424377441,
-0.15480172634124756,
-0.7573902010917664,
1.5359700918197632,
0.3757511377334595,
0.5724666118621826,
-0.2947564125061035,
-0.9389491677284241,
0.616441011428833,
-1.1455354690551758,
0.07876186072826385,... |
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.
--------
Question: 3968 + 5044 + 8713
Answer: -9789
Question: 5360 + 7507 - ... | 7585
| 7 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.7305415272712708,
0.13297432661056519,
-1.083486557006836,
-0.20666104555130005,
-0.3799814283847809,
0.07385700941085815,
1.1375045776367188,
1.4124267101287842,
0.3647632598876953,
-0.24075213074684143,
-0.7597767114639282,
-0.28777414560317993,
-0.6222330927848816,
0.3061913549900055... |
Detailed Instructions: You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or orga... | Abbreviation. | 9 | NIv2 | task046_miscellaneous_question_typing | zs_opt | [
0.763443112373352,
0.07778891921043396,
-0.24843141436576843,
0.2990526258945465,
-0.16161492466926575,
-1.225881814956665,
1.11588716506958,
0.8223052024841309,
-0.7574599981307983,
-0.02330317720770836,
-0.7769038677215576,
-0.027602016925811768,
-0.34069564938545227,
-0.2793675065040588... |
Detailed Instructions: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Q: Context: We k... | yes | 9 | NIv2 | task241_tweetqa_classification | zs_opt | [
-1.148937463760376,
-0.16308066248893738,
0.9312504529953003,
0.4873180389404297,
-0.07784091681241989,
-0.0904655009508133,
0.47383764386177063,
0.21362966299057007,
0.18736183643341064,
0.7889827489852905,
-0.1785290241241455,
-0.4038328528404236,
-0.28959065675735474,
0.4845280051231384... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
[EX Q]: É um trabalho coletivo.
[EX A]: זאת עבודה קולקטיבית.
[EX Q]: E, quando se passa muito tempo num hospital, observam-se muitos tipos de irracionalidades.
[EX A]: ואם תבלו הרבה זמן בבית חולים, תראו הרבה סוגים של... | אנו מתכננים לקחת את הכלכלה המאד לחוצה הזו ולהגדיל אותה פי שתיים ואז להגדיל אותה פי ארבע - לא בעתיד רחוק כלשהו, אלא בתוך פחות מ-40 שנה, עוד בתקופת החיים של רובכם.
| 6 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.8120800852775574,
0.7389549612998962,
0.022347742691636086,
-0.1774480640888214,
-0.012244678102433681,
0.27517592906951904,
0.23415899276733398,
-0.10598185658454895,
0.567212700843811,
-0.3562299609184265,
-0.6555081605911255,
-0.029982279986143112,
-0.1656312346458435,
0.220139533281... |
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... | Yes | 9 | NIv2 | task357_casino_classification_negotiation_small_talk | zs_opt | [
-0.6623049378395081,
0.5290345549583435,
-0.22356897592544556,
-0.15729674696922302,
-0.42484670877456665,
-0.5256360769271851,
1.049886703491211,
0.018453285098075867,
-0.2926102578639984,
-0.09324756264686584,
-0.09446288645267487,
0.47267666459083557,
-0.7357056140899658,
0.055529821664... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: p... | None | 1 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.34988027811050415,
0.2086644470691681,
0.061132900416851044,
-0.05647658929228783,
-0.2032514363527298,
0.18539339303970337,
1.235621690750122,
-0.0985642746090889,
0.43462762236595154,
-0.20707055926322937,
-0.47535765171051025,
0.4074794054031372,
0.07227300107479095,
-0.0128906965255... |
Teacher:Generate a correct and concise answer for the question based on the words in the context.
Teacher: Now, understand the problem? Solve this instance: Context : Hermann Siggel (29 December 1910 -- 15 April 1981) was a highly decorated Oberst in the Wehrmacht during World War II. He was also a recipient of the Kni... | Knight's Cross of the Iron Cross with Oak Leaves | 6 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
0.27798372507095337,
0.4758526682853699,
0.0986621230840683,
-0.4743790328502655,
0.37285637855529785,
-1.5139594078063965,
1.1874430179595947,
1.0126519203186035,
0.42216479778289795,
0.21023975312709808,
0.47378966212272644,
0.7161090970039368,
-1.1372082233428955,
0.28512951731681824,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Example input: No final, espero que a beleza e propósito deste universo microscópico inspire novas e criativas abordagens no futuro da pesquisa do cancro.
Example output: A Miña esperanza é que a beleza e propósito ... | A xente non sabía qué a causaba ata comezos dos anos 1900, cando un militar británico se deu de conta que eran os mosquitos. | 3 | NIv2 | task1279_ted_translation_pt_gl | fs_opt | [
-1.1681926250457764,
0.7113848924636841,
-0.006216634064912796,
-1.0434792041778564,
-0.33136674761772156,
-0.9594860672950745,
-0.1295689046382904,
0.18359141051769257,
0.5863953828811646,
0.45876964926719666,
-0.4107015132904053,
0.9215885400772095,
-0.7629151940345764,
0.067351490259170... |
Detailed Instructions: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a pr... | SELECT date_became_customer FROM customers WHERE customer_id BETWEEN 10 AND 20 | 8 | NIv2 | task107_splash_question_to_sql | zs_opt | [
0.5667203068733215,
0.34234368801116943,
-1.0078908205032349,
0.7222338914871216,
-0.37139374017715454,
-0.38716256618499756,
0.9703505635261536,
1.0775158405303955,
-0.7235364317893982,
0.6718682646751404,
0.03103889524936676,
0.26891717314720154,
-0.19606280326843262,
0.22381998598575592... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | yes | 0 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.24311938881874084,
0.06809496879577637,
0.5425958633422852,
0.6954345703125,
0.20496803522109985,
-0.8864997625350952,
0.43076610565185547,
0.9597359895706177,
-0.6617597341537476,
-0.18884944915771484,
-0.16142360866069794,
0.3730945587158203,
-0.26347774267196655,
-0.33722883462905884... |
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
There are various possible extensions for this work. For example, using all frames assigned to a phone, rather than using only the middle frame.
Question:... | Yes | 0 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.11394954472780228,
0.8318046927452087,
-0.7563292980194092,
-0.7106728553771973,
-0.3938702344894409,
0.3771058917045593,
0.5763239860534668,
0.31736084818840027,
0.21701744198799133,
-0.3619571626186371,
-0.8084992170333862,
0.5348318815231323,
-0.002366304164752364,
0.4359458684921264... |
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: Provide choices, such as controlled specimens of other establishments or galleries, memorabilia, traditional objects, or artwork.
SOLUTION: nye n... | Ummm yeah nri ma ọ bụrụ na ha hụrụ ya, ha ga-aghọ umeala n'obi na ọ gaghị na-eche ọtụtụ ihe banyere mmanya.
| 8 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
0.13517585396766663,
0.05556753650307655,
-0.19181063771247864,
-0.23805800080299377,
0.32850247621536255,
-0.30802857875823975,
0.5557230710983276,
1.165649175643921,
-0.16943161189556122,
-0.13971228897571564,
0.016408024355769157,
0.3122243285179138,
-1.0394237041473389,
0.0013771713711... |
Part 1. Definition
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.
Part 2. Example
Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intelle... | Answer: A human toe. | 7 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.44740933179855347,
0.5551018714904785,
-0.17306016385555267,
-0.4877212643623352,
0.670230507850647,
0.4530458450317383,
0.5599406957626343,
0.5746190547943115,
-0.07396914064884186,
0.4200173318386078,
-0.15230584144592285,
0.11892922222614288,
-0.6468499898910522,
0.21971623599529266,
... |
Q: The input is a conversation between an automated system and a user, followed by a question. The user is looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the us... | No | 7 | NIv2 | task1501_dstc3_answer_generation | zs_opt | [
-0.15736903250217438,
0.32734209299087524,
-0.2978058457374573,
0.1069655790925026,
-0.1105261817574501,
-0.7391074895858765,
0.1885426938533783,
0.2887309789657593,
0.22025887668132782,
0.17377969622612,
0.5434730052947998,
-0.1497805118560791,
-0.6465621590614319,
-0.03712891787290573,
... |
Q: You are given a passage. Using the information present in the passage, you need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & Music', 8... | 2 | 7 | NIv2 | task1593_yahoo_answers_topics_classification | zs_opt | [
0.18398526310920715,
0.09759271144866943,
-0.1256634145975113,
-0.5132232904434204,
-0.16474035382270813,
-0.12949895858764648,
0.08305921405553818,
0.07098009437322617,
-0.2842499613761902,
-0.15220849215984344,
-0.04057936370372772,
-0.08903403580188751,
-0.5260310173034668,
-0.371641516... |
Given the task definition and input, reply with output. In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a... | Line the surface with old newspapers before painting. | 5 | NIv2 | task080_piqa_answer_generation | zs_opt | [
-0.5257963538169861,
1.1741304397583008,
-0.21197056770324707,
0.2200697660446167,
-0.48810940980911255,
-0.14825007319450378,
-0.652577817440033,
0.0344211608171463,
0.09016521275043488,
0.007805472705513239,
-0.37396934628486633,
0.34573614597320557,
-0.2025613784790039,
-0.0966981351375... |
Detailed Instructions: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original... | Changed | 9 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.1092567443847656,
1.115433692932129,
0.5445048809051514,
-0.44778066873550415,
-0.227574422955513,
-0.5670896768569946,
0.4835560619831085,
0.1512102484703064,
0.4111560583114624,
-0.6639382839202881,
-0.7640678286552429,
0.061181243509054184,
-1.181757926940918,
-0.0020006615668535233,... |
Definition: In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Av... | John was able to surf the web quickly. | 2 | NIv2 | task067_abductivenli_answer_generation | zs_opt | [
-0.46214115619659424,
0.588341236114502,
-0.3566889762878418,
-0.6650124788284302,
-0.4250090718269348,
0.8854084610939026,
0.8685497045516968,
0.2651597857475281,
-0.21796564757823944,
-0.3317919075489044,
-0.7343085408210754,
0.5191856622695923,
-0.43347054719924927,
-0.08067335933446884... |
Given the task definition and input, reply with output. 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 ... | Similar | 5 | NIv2 | task1645_medical_question_pair_dataset_text_classification | zs_opt | [
-0.8074876070022583,
-0.05966028943657875,
-0.23247724771499634,
-0.35721635818481445,
-0.5688475966453552,
-0.5201278924942017,
0.4178071618080139,
0.29509979486465454,
0.3224595785140991,
-0.12608236074447632,
-0.5673035979270935,
0.24554505944252014,
-0.8764645457267761,
0.1102808341383... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
See one example below:
Problem: Brindo soluciones. Estoy muy feliz.
Solution: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Explanation: The Spanish sentence is correctly translated into Polish, b... | Dane są teraz żywe, to jest żywy obraz, mogę ją zaktualizować w sekundę. | 4 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.6752669811248779,
1.0668857097625732,
0.03710708022117615,
-0.2854307293891907,
-0.3214002251625061,
-0.8325955271720886,
1.4701910018920898,
-0.012588433921337128,
0.2596166729927063,
-0.23548349738121033,
-0.20672707259655,
0.6512020826339722,
-0.6754052639007568,
0.5807037353515625,
... |
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... | [91] | 1 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.06862112879753113,
1.0015212297439575,
-0.3034183084964752,
-0.18345797061920166,
0.21266242861747742,
-0.3199690580368042,
0.7001577615737915,
0.7255500555038452,
0.2544434666633606,
0.07025448977947235,
-0.15269383788108826,
-0.08472824096679688,
0.29221659898757935,
-0.04795183241367... |
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... | DT | 3 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
-0.4377973973751068,
0.24135926365852356,
-0.1305518001317978,
0.3529246151447296,
-0.43184059858322144,
-0.36097198724746704,
0.7689042091369629,
0.7216122150421143,
0.3567659258842468,
-0.0678698867559433,
-0.2470608353614807,
0.5601540803909302,
-0.1120050847530365,
0.3885692358016968,
... |
Detailed Instructions: 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.
Problem:Personality: My mother was a nurse.
I am a violinist.
I recent... | What kind of dog do you have. | 8 | NIv2 | task1730_personachat_choose_next | zs_opt | [
0.0005585919134318829,
0.536907970905304,
-0.7893521189689636,
0.7679392099380493,
-0.3865538239479065,
-0.40079599618911743,
0.7192268371582031,
0.3334912955760956,
0.19199106097221375,
-0.5354613065719604,
-0.28718531131744385,
0.18972009420394897,
0.057059094309806824,
0.081185735762119... |
Detailed Instructions: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Q: hkhmoIqgxMDNJavkvo, HBXRHpIqgxMDNJatYdwJSO
A: | IqgxMDNJa | 9 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
0.2652622163295746,
0.928006649017334,
0.4281231760978699,
-0.5450683236122131,
-0.4996144473552704,
-0.6081242561340332,
0.1608286052942276,
-0.47839123010635376,
-0.13193972408771515,
-0.7294852137565613,
-0.9767950177192688,
-1.001401424407959,
-0.4446491003036499,
0.7376372218132019,
... |
Instructions: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mi... | Spread layer of relish on face, then rinse after a few minutes. | 3 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.4206680655479431,
1.1956136226654053,
-0.4609239399433136,
0.04154901206493378,
-0.4651842713356018,
-0.3897653818130493,
0.11781726032495499,
0.314670205116272,
-0.07252532988786697,
0.35127466917037964,
-0.23558607697486877,
0.03978803753852844,
-0.14959414303302765,
-0.320154547691345... |
Given the task definition and input, reply with output. The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce'... | banaans. | 5 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.7912782430648804,
0.462346613407135,
0.22778278589248657,
0.6383388638496399,
0.3830552399158478,
-0.7263175249099731,
0.8865570425987244,
0.3424718379974365,
0.48576486110687256,
0.19565467536449432,
-0.12453263998031616,
-0.29687032103538513,
-0.5839194059371948,
-0.16599293053150177,... |
Teacher: The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Given such a dialogue, output the price range th... | Moderate | 2 | NIv2 | task1500_dstc3_classification | fs_opt | [
0.7416538000106812,
0.2684974670410156,
-0.397810161113739,
-0.22496917843818665,
0.4271596670150757,
-0.6546597480773926,
0.7402969002723694,
0.5160075426101685,
-0.3489011526107788,
0.04678671434521675,
0.6276929378509521,
-0.425653338432312,
-0.15081939101219177,
-0.19935086369514465,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the numbers 0 (entailment), 1 (neutral), or 2(cont... | 2
****
| 4 | NIv2 | task1612_sick_label_classification | fs_opt | [
-0.21282538771629333,
0.4735356569290161,
0.07180389016866684,
-0.2673283815383911,
0.2707439661026001,
-0.9931180477142334,
0.8605419397354126,
0.630025327205658,
0.5745889544487,
-0.10003936290740967,
-0.08468353003263474,
-0.8132431507110596,
-0.34298038482666016,
-0.5815199017524719,
... |
Q: 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 state... | Jane Finn was very important to Tommy. | 7 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-0.7366666197776794,
0.4044593572616577,
0.30357682704925537,
-0.006330967415124178,
0.31326794624328613,
-0.5208620429039001,
-0.18994241952896118,
0.5915249586105347,
0.4048725664615631,
0.31686142086982727,
0.21956799924373627,
-0.10400597006082535,
-1.1812191009521484,
0.11815670132637... |
instruction:
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical dep... | non-geopolitical
| 9 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-0.6265636086463928,
0.00899618212133646,
0.3709985315799713,
0.3358970284461975,
-0.34194743633270264,
-0.4997837543487549,
-0.060031600296497345,
0.19010785222053528,
-0.062401339411735535,
-0.045443400740623474,
-0.5234983563423157,
-0.6156195998191833,
-0.2723690867424011,
-0.456003665... |
TASK DEFINITION: A text is given in Marathi. Translate it from the Marathi language to the Panjabi language. The translation must not omit or add information to the original sentence.
PROBLEM: ਨਮਸਤੇ ਭਾਵਨਾ ਜੀ!
SOLUTION: नमस्ते भावनाजी, मी आपल्या भावनांचा आदर करतो.
PROBLEM: ਜ਼ਰਾ ਸੋਚੋ ਭਾਰਤ ਜਦ ਸਭ ਤੋਂ ਤੇਜ਼ੀ ਨਾਲ ਵਧਣ ਵਾਲੀ ਅ... | देशभर आणि जगात जयंती उत्सव साजरा होणार-
| 8 | NIv2 | task1030_pib_translation_punjabi_marathi | fs_opt | [
0.3137843608856201,
0.6876236796379089,
0.5019639134407043,
0.10609443485736847,
-0.32183128595352173,
-0.24241025745868683,
1.154897689819336,
0.2011440396308899,
-0.04832790791988373,
-0.06372974812984467,
-0.8130093216896057,
0.09444785118103027,
-0.4179851710796356,
0.4760977625846863,... |
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. Avoid using any irrelevant extra information when creating ... | Output: Andrew had never been in trouble for anything.
| 2 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
0.06319139897823334,
0.6893165111541748,
0.34044748544692993,
-0.5177405476570129,
-0.4335392117500305,
-0.049686238169670105,
0.05939243733882904,
0.4875275492668152,
-0.22454284131526947,
0.0719345435500145,
-0.690909743309021,
-0.2792356014251709,
-0.5324817895889282,
-0.163927912712097... |
In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
Q: Term: Bigfoot, D... | Fact1: The Venture Bros. is an American adult animated television series that was created by Christopher McCulloch Fact2: In The Venture Bros season one episode 3 Brock runs into former astronaut Steve Summers and Sasquatch. Fact3: Steve Summers reveals he and Sasquatch are lovers. Fact4: Sasquatch is another name for... | 4 | NIv2 | task169_strategyqa_sentence_generation | zs_opt | [
-0.4576435685157776,
0.1052662804722786,
-0.2759592533111572,
0.1907908022403717,
-0.4971962869167328,
-0.8015502095222473,
0.20944227278232574,
-0.17308834195137024,
-0.7338226437568665,
0.1194012314081192,
0.10148435831069946,
0.09513355791568756,
-0.6355423927307129,
-0.5028584003448486... |
Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
--------
Question: How is the prime number p in Chebyshev's no, in Bertrand's pos... | proper
| 7 | NIv2 | task1623_disfl_qa_disfluent_question_classification | fs_opt | [
0.42386484146118164,
0.20657290518283844,
-0.23056994378566742,
-0.022337529808282852,
-0.44604018330574036,
-0.043303798884153366,
0.6742163300514221,
0.06509962677955627,
0.3037099242210388,
0.35968732833862305,
-1.2310761213302612,
-0.734745442867279,
-0.8261541128158569,
-0.15628980100... |
You will be given a definition of a task first, then some input of the task.
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 explana... | True | 1 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
0.1483076810836792,
0.09070693701505661,
-0.23373442888259888,
-0.013190208002924919,
-0.18156248331069946,
-0.4733707904815674,
0.3996272683143616,
0.5442676544189453,
0.22690092027187347,
-0.020113395527005196,
-0.32134687900543213,
0.04784345626831055,
0.03653539717197418,
0.25154119729... |
Q: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
I would like to mention one final point.
A: | Permítanme que mencione una última cuestión. | 7 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
0.23560458421707153,
0.9662522077560425,
0.06824447214603424,
-0.36637938022613525,
0.14276814460754395,
-0.7893946766853333,
0.773452639579773,
0.8651705980300903,
-0.20415230095386505,
-0.3595951199531555,
-0.32143688201904297,
-0.302406907081604,
-0.7443393468856812,
-0.0476840995252132... |
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 the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: फरवरी 1876 में किशोर रवि ने , जब उसकी उम्र चौदह साल की... | In February 1876 , young Rabi , aged fourteen , recited a patriotic poem at this annual festival . | 2 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
-0.10165950655937195,
0.7373281121253967,
0.6712563037872314,
-0.5611649751663208,
-0.26064562797546387,
0.2567428946495056,
0.5074136257171631,
0.658000648021698,
0.04079878702759743,
-0.4438953101634979,
-0.6619036197662354,
0.2659457325935364,
-0.4025614261627197,
0.3225582242012024,
... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Q: she was not in friends he's never been my friend but he is a friend of my friends haha you are so funny
A: | happy | 4 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.9351276159286499,
1.0302767753601074,
1.1556024551391602,
-0.8630523085594177,
-0.08976446837186813,
-0.4917651414871216,
1.1409618854522705,
0.2027062475681305,
0.7173359394073486,
-0.14892780780792236,
-0.5046546459197998,
-0.452716201543808,
-0.33091360330581665,
-0.5366349220275879,... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of ... | depressed | 1 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
0.25339454412460327,
0.20792198181152344,
-0.2568754553794861,
-0.4248178005218506,
0.12971749901771545,
-0.17325091361999512,
1.0951921939849854,
0.4337978959083557,
0.16258808970451355,
-0.18508340418338776,
0.16402742266654968,
-0.499062180519104,
-0.21785959601402283,
0.155870407819747... |
TASK DEFINITION: In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
PROBLEM: claim: The best way to protect Scotti... | undermine
| 8 | NIv2 | task738_perspectrum_classification | fs_opt | [
-0.2991181015968323,
0.8875302076339722,
0.029780082404613495,
-0.505742609500885,
0.042378418147563934,
-0.6700688004493713,
1.4570751190185547,
0.6424774527549744,
0.5482739210128784,
0.6925941109657288,
0.16356711089611053,
0.20322749018669128,
-0.6538809537887573,
0.0900869145989418,
... |
Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitic... | Personal | 3 | NIv2 | task1494_bengali_hate_speech_classification | zs_opt | [
0.0850987583398819,
0.3996569514274597,
0.08330629765987396,
0.7009552717208862,
-0.5443425178527832,
-0.5519246459007263,
0.23015937209129333,
0.45783963799476624,
-0.5323110818862915,
-0.059572815895080566,
-0.43496301770210266,
-0.3729722499847412,
0.32208189368247986,
-0.83436655998229... |
Given the task definition and input, reply with output. In this task, you will be presented with a question having multiple possible answers in Dutch language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Er was een test morgen, wat moes... | C | 5 | NIv2 | task1133_xcsr_nl_commonsense_mc_classification | zs_opt | [
-0.8666234612464905,
0.8746769428253174,
0.16825655102729797,
-0.1924947202205658,
-0.3372872471809387,
0.2082577794790268,
0.2505350708961487,
0.47331392765045166,
0.2978082299232483,
-0.5245040059089661,
-0.5229407548904419,
0.7776198983192444,
0.41208603978157043,
-0.3370717465877533,
... |
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.
One example is below.
Q: Question: When did the operation during... | 3 | 9 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.12067709863185883,
0.3633544445037842,
-0.6094303131103516,
0.1173768937587738,
0.5114191174507141,
-0.1632532775402069,
0.6602133512496948,
1.2196621894836426,
0.19221898913383484,
0.2299736887216568,
-0.007410801015794277,
0.28260210156440735,
-0.37270498275756836,
-0.02355282753705978... |
TASK DEFINITION: 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.
PROBLEM: Personality: Kpop is my favorite music.
I eat more junk food than I... | We make pizza at the restaurant I work at.
| 8 | NIv2 | task1730_personachat_choose_next | fs_opt | [
-0.11586767435073853,
0.05910171568393707,
-0.5052440166473389,
-0.06702744960784912,
-0.4774121046066284,
0.018557963892817497,
0.9282808303833008,
0.13343681395053864,
0.13311538100242615,
0.01313277892768383,
0.2926768362522125,
0.011388394981622696,
0.05006613954901695,
-0.313679486513... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Input: والنمور كانت في وضع اسوء فقد قل عددها من 45 الف الى 3 الاف
Output: | Tygrysom nie powiodło się lepiej - z 45 tysięcy zostały może 3 tysiące. | 2 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.4776541292667389,
0.5054208040237427,
-0.5140360593795776,
-0.8415666818618774,
-0.7257851958274841,
0.6048895120620728,
0.7774426937103271,
0.4332873225212097,
0.6336377859115601,
-0.19661706686019897,
-0.7406455874443054,
-0.0840395987033844,
-0.3853737711906433,
0.36513733863830566,
... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | no
| 0 | NIv2 | task211_logic2text_classification | fs_opt | [
-0.04951880872249603,
-0.18787458539009094,
-0.27793559432029724,
0.25269418954849243,
0.43123167753219604,
-0.4119117856025696,
0.13710416853427887,
0.48832595348358154,
-0.010843832045793533,
-0.043767303228378296,
-0.3877541422843933,
0.09165436029434204,
0.23781386017799377,
0.46702525... |
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
On... | The mosquito population in South Florida is larger than it is in many other communities in the country. | 6 | NIv2 | task1368_healthfact_sentence_generation | fs_opt | [
0.7426439523696899,
0.04624602943658829,
0.10696552693843842,
-0.05675110965967178,
0.813381552696228,
-0.34684157371520996,
0.17909573018550873,
1.0461699962615967,
-0.6512541770935059,
0.30963996052742004,
-0.3410622179508209,
0.9235819578170776,
-0.45375263690948486,
0.6861302256584167,... |
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 statements that defin... | eq { hop { nth_argmin { all_rows ; departure pune ; 2 } ; train number } ; 99806 } | 8 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.46285924315452576,
0.044175758957862854,
-0.329038143157959,
0.5140575766563416,
0.25931522250175476,
-0.5171719789505005,
0.2106410413980484,
0.4042920768260956,
-0.08300948143005371,
-0.2075985074043274,
-0.5554908514022827,
0.31634747982025146,
-0.18995368480682373,
0.3945730328559875... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Ex Input:
衛星打ち上げの成功は、イランのミサイルが世界的な射程範囲を持つことを証明する。
Ex Output:
Peluncuran satelit dengan sakses berdemonstrasi bahwa misil Iran menyampai ... | Apa yang dikerjakan para guru ilmu pengetahuan, kata dia, "adalah memberikan semua fakta, pro dan kontra, terhadap semua topik, apapun itu, dan menunjukkan pada anak-anak bagaimana cara bekerja melalui bukti tersebut.
| 1 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.5483728647232056,
0.32737037539482117,
-0.2171805500984192,
-0.4454984664916992,
0.03439454734325409,
0.013997931964695454,
0.20142202079296112,
0.2003621608018875,
-0.14335328340530396,
-0.10002963989973068,
-0.8574517965316772,
1.1201695203781128,
-0.8977538347244263,
0.10385821759700... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
[Q]: Pero también les mostraré las incertidumbres de los padres.
[A]: ولكن سوف أظهر لك أيضًا شكوك الوالدين.
[Q]: Y esto es lo que hace.
[A]: وهذا ما يقوم بفعله
[Q]: Una señal en el cerebro que dispara una disfunción cer... | ثمة إشارة في الدماغ تؤدي إلى اختلال وظيفي في الدماغ يمكن أن يُستشعر كمسبب لتنبيه كهربائي كما نفعل مع الصرع.
| 5 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
-0.8369931578636169,
0.3734317421913147,
-0.06591294705867767,
-0.7869822978973389,
-0.8784972429275513,
0.3266390264034271,
1.2568161487579346,
0.9714412093162537,
0.5299828052520752,
-0.5618994235992432,
-0.48960554599761963,
0.7564040422439575,
-0.24729445576667786,
0.023415852338075638... |
Given the sentence, generate "yes, and" response. "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..."). 1 In short, a "Yes, and" is a dialogue exchang... | C'mon, there must be some old coins in that pile of bricka brack you got in there. | 4 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.3417168855667114,
0.8399225473403931,
0.5654608011245728,
0.075546994805336,
-0.03254120051860809,
-0.7816780209541321,
0.5922632217407227,
0.6200780868530273,
-0.0280316062271595,
-0.7185198068618774,
-0.6510164737701416,
-0.07018846273422241,
-0.6712775826454163,
0.6566774845123291,
... |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
How did Europeans’ prior experiences affect their actions in the New World? In which ways did they adapt to new circumstances? | Which European countries did not participate in WW2 and how did they manage to do it? | 0 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
0.20403572916984558,
1.0122478008270264,
-0.09194149076938629,
0.7861778140068054,
-0.45074188709259033,
-0.44480422139167786,
0.4752967357635498,
0.13987208902835846,
0.9450875520706177,
-0.6137212514877319,
-0.2976263463497162,
0.5997101068496704,
-0.6440463662147522,
-0.1401149034500122... |
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 -
'.': Period symbol is used f... | Solution: ADV | 5 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.41707122325897217,
0.19093145430088043,
-0.1276559680700302,
0.1252102553844452,
0.010071888566017151,
-0.48132678866386414,
0.5073135495185852,
0.6368674039840698,
-0.47960296273231506,
-0.014101237989962101,
-0.6145085096359253,
0.13276588916778564,
-0.5861434936523438,
0.3513722419738... |
In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
One examp... | HISTORICAL | 9 | NIv2 | task282_scruples_event_time | fs_opt | [
-0.07768616080284119,
0.3679320812225342,
0.12880417704582214,
0.3087499141693115,
0.34296560287475586,
-0.801087498664856,
0.6139520406723022,
0.48728644847869873,
-0.34435129165649414,
0.06204528361558914,
-0.7840908169746399,
0.46536874771118164,
-0.37248826026916504,
-0.100177697837352... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: 同じ記者会見で、疾病管理予防センター（CDC）の代理のディレクターのリチャード・ベッサー博士は、豚インフルエンザの更なる症例が短期的に報告されるだろうと言った。
A: | នៅក្នុងសន្និសីទសារព័ត៌មានដូចគ្នានេះដែរ វេជ្ជបណ្ឌិតរីឆាត បេសស៊័រ ប្រធានស្តីទីមកពីមជ្ឈមណ្ឌលការពារ និងគ្រប់គ្រងជម្ងឺ (ស៊ីឌីស៊ី)បានពោលពីករណីដែលអាចមានជម្ងឺគ្រុនផ្តាសសាយជ្រូកច្រើនករណីទៀតដែលត្រូវនឹងត្រូវគេរាយការណ៍ក្នុងរយៈពេលខ្លី។ | 4 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
-0.4463317394256592,
-0.08502514660358429,
-0.7582910060882568,
-0.3029209077358246,
-0.07366010546684265,
-1.0049622058868408,
-0.26967674493789673,
0.10259626805782318,
-0.24761438369750977,
-0.1576772779226303,
-0.45758476853370667,
0.5855809450149536,
-0.5602097511291504,
0.68867069482... |
TASK DEFINITION: Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
PROBLEM: Orchestra conductors live ____ to seven years longer than is usual in their societies.
SOLUTION: three
PROBLEM: Account is ... | three
| 8 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.4200552999973297,
0.46881166100502014,
-0.3178348243236542,
-0.058591365814208984,
0.2144332230091095,
-0.5423166751861572,
0.9728803634643555,
0.027475766837596893,
0.12976783514022827,
0.13872571289539337,
-0.06331533938646317,
-0.19454042613506317,
-0.359001100063324,
-0.167536526918... |
Detailed Instructions: In this task, you are given an article. Your task is to summarize the article in a sentence.
Problem:De Gea missed Saturday's 1-0 win over Tottenham after manager Louis van Gaal said the 24-year-old lacked "focus" following interest from Real Madrid.
United insist they will only sell to the La Li... | Manchester United goalkeeper David De Gea is expected to stay at Old Trafford beyond the end of the transfer window. | 8 | NIv2 | task1290_xsum_summarization | zs_opt | [
0.6773464679718018,
0.4187989830970764,
-0.8390278816223145,
0.06432733684778214,
0.5338705778121948,
0.14574603736400604,
0.28790175914764404,
0.9781956672668457,
-0.0737849771976471,
-0.2755746841430664,
-0.14670740067958832,
0.9447225332260132,
-0.3916313946247101,
0.4547245502471924,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
One example: Qui c'è la medusa mortale con le ali ad X.
Solution is here: Aquí esta la medusa ala-x de la muerte.
Explanation: The Italian sentence is correctly translated into Spanish, because the meaning is preserved.
No... | Un día pasa esto: Le di a la clase un capítulo del libro de texto para leer sobre mi tema favorito de toda la biología: los virus y cómo es que atacan. | 6 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.37009233236312866,
0.324557900428772,
-0.657547652721405,
-0.33214545249938965,
-0.8132609128952026,
-0.7962641716003418,
0.43082094192504883,
0.9648258686065674,
-0.013769911602139473,
-0.36813780665397644,
-0.4086971580982208,
-0.021337056532502174,
-0.2929948568344116,
0.862665176391... |
Detailed Instructions: You will be given a context and a verb separated with a newline character. You have to decide if the given verb implies a hypothetical or conditioned action or not. We say a verb is hypothetical if it involves or is based on a suggested idea or theory. A verb is conditional if it appears in a con... | No | 9 | NIv2 | task457_matres_conditional_classification | zs_opt | [
-0.6676917672157288,
0.6578258872032166,
0.6114166975021362,
-0.3120757043361664,
-0.5476661324501038,
-0.3934321701526642,
0.8820063471794128,
0.5377291440963745,
0.0774068534374237,
-0.12025264650583267,
-0.6035025715827942,
0.09829790890216827,
-0.6279478073120117,
0.5393093228340149,
... |
Part 1. Definition
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 th... | DET | 7 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.5702252984046936,
0.27520620822906494,
-0.2141195386648178,
0.21532174944877625,
-0.012065366841852665,
-0.4255603551864624,
0.8676677942276001,
0.6587064266204834,
-0.3666694760322571,
-0.004664345178753138,
-0.6057791113853455,
0.5564221143722534,
-0.5467292666435242,
0.282102823257446... |
Part 1. Definition
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relat... | brain PartOf body | 7 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.6908801198005676,
1.3442704677581787,
-0.19643737375736237,
-0.5601710677146912,
-0.58675217628479,
-0.15779154002666473,
0.5926486849784851,
0.04455605149269104,
0.8399745225906372,
-1.0853874683380127,
-0.6140890717506409,
0.37417346239089966,
-1.095139741897583,
0.2835528254508972,
... |
Teacher: You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they ... | At the beginning of the story, how did Renee die? | 2 | NIv2 | task405_narrativeqa_question_generation | fs_opt | [
0.9760129451751709,
-0.2144070863723755,
-0.1327880322933197,
-0.07913030683994293,
0.7087352275848389,
-0.22994233667850494,
0.5974342226982117,
0.8030145168304443,
-0.7959865927696228,
-0.15974241495132446,
-0.3751773238182068,
0.12140610814094543,
-0.5171345472335815,
-0.621334791183471... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Option 1 | 3 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
0.11401598155498505,
0.2604164481163025,
-0.3997049927711487,
0.1523410677909851,
0.3703954815864563,
0.10873595625162125,
0.22860753536224365,
1.1135128736495972,
0.5769333243370056,
-0.294514536857605,
-0.5103542804718018,
-0.2770599126815796,
-0.2779970169067383,
-0.23140805959701538,
... |
In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a d... | The plate is full of vegetables and meat and gravy.
| 5 | NIv2 | task102_commongen_sentence_generation | fs_opt | [
-0.1900728940963745,
0.41673368215560913,
-0.3567107915878296,
-0.13812801241874695,
-0.5446878671646118,
-1.2212371826171875,
0.0029250613879412413,
0.7231261134147644,
-0.3382176160812378,
-0.17095208168029785,
-0.9731794595718384,
-0.058998238295316696,
-0.20016828179359436,
0.597689390... |
Detailed Instructions: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Q: Maria Miller, minister for disabled people, told MPs that the £320m budget for disabled employment services could be spent more effectively. The 27 loss-making factories are to ... | Remploy, which provides employment opportunities for disabled people, is to close half its 54 factories, the government confirmed on Tuesday. | 9 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.3875609040260315,
0.7236286997795105,
-0.252231240272522,
0.1330878734588623,
0.36647504568099976,
-0.15867877006530762,
-0.07203653454780579,
1.2972136735916138,
-0.46140095591545105,
0.2548069357872009,
-0.21424460411071777,
0.49802902340888977,
0.4357188940048218,
0.192609041929245,
... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | holding that where witness refused to take the oath and testify his grand jury testimony should not have been admitted because he was not subject to cross examination before the grand jury
| 7 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.1819448471069336,
0.11358177661895752,
0.038153521716594696,
-0.09449873119592667,
0.1376175582408905,
-0.27530792355537415,
0.507430911064148,
0.6409697532653809,
-0.5245124697685242,
-0.27651673555374146,
-0.06432801485061646,
0.2717181444168091,
-0.2356533408164978,
0.5497475862503052... |
Teacher:In this task, you are given a Kurdish sentence and the goal is to faithfully translate the Kurdish sentence into Turkish so that they both mean the same thing
Teacher: Now, understand the problem? Solve this instance: Lîvanelîyî eşkere kir ku mafên mirovan têne binpêkirin, derb li azadiya ramanî û azadiya medya... | İnsan hakları ihlallerine, düşünce ve basın özgürlüğüne vurulan darbelere dikkat çeken Livaneli, bunlar karşısında susarak İnsanlık Zirveleri yapmanın ve soyut barış söylemlerinde bulunmanın, UNESCO’nun temel idealleriyle çelişki oluşturduğunu vurguladı. | 6 | NIv2 | task914_bianet_translation | zs_opt | [
-0.33495569229125977,
1.0743038654327393,
0.175833597779274,
-0.9207600355148315,
-0.3898736238479614,
0.5508733987808228,
0.8924180269241333,
0.06820555031299591,
-0.2913479506969452,
-0.34444960951805115,
-0.024739017710089684,
-0.14135774970054626,
-0.9133498668670654,
0.157084494829177... |
Given the task definition and input, reply with output. The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence int... | He-who-eats-corn-meal-with-bean-fritters does not know the virtues of stew. | 5 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.64007967710495,
0.4005560278892517,
0.2841084599494934,
0.15322116017341614,
0.13920342922210693,
-0.1923881471157074,
0.34942159056663513,
0.372050017118454,
-0.059322744607925415,
-0.4161794185638428,
-0.005545513238757849,
-0.0014025373384356499,
-0.42302459478378296,
0.1136215999722... |
Q: A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
ରାଷ୍ଟ୍ରାୟତ କ୍ଷେତ୍ରର କର୍ମଚାରୀଙ୍କୁ 232 ଟି ପୁରସ୍କାର ମିଳିଥିବାବେଳେ 106ଟି ପୁରସ୍କାର ଘରୋଇ କ୍ଷେତ୍ରର କର୍ମଚାରୀଙ୍କୁ ମିଳିଛି । ଆହୁରି ମଧ୍ୟ ମିଳିତ ଭାବେ କର୍ମଚାରୀଙ୍କ ଗୋଷ୍ଠୀକୁ ... | மாநில கல்வி அதிகாரிகளுடன் நடத்தப்பட்ட உயர்நிலை கூட்டங்களிலும் இதே கருத்து வலியுறுத்தப்பட்டது என்று அமைச்சர் தெரிவித்தார். | 7 | NIv2 | task1073_pib_translation_oriya_tamil | zs_opt | [
-0.9129086136817932,
0.7238010168075562,
-0.2774421274662018,
0.04325307160615921,
0.13145416975021362,
-0.6247998476028442,
-0.1498778909444809,
0.7370813488960266,
0.05144713073968887,
0.23292841017246246,
-0.6429119110107422,
-0.31127333641052246,
-0.2960689961910248,
-0.007130552083253... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
[EX Q]: وب سایتی به نام فری یمن پورتال که ضد سانسور در یمن است روز سوم آوریل آغاز به کار کرد.
[EX A]: The anti-website censorship website freeyemenportal.org was officially launched today by Mideast Youth and YemenPortal.... | They never want to solve anything, they never did.
| 6 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.03318753466010094,
0.08415381610393524,
0.10407920181751251,
-0.18826213479042053,
-0.01892164722084999,
0.06697544455528259,
0.7370473146438599,
0.66524338722229,
0.04947732388973236,
0.4110248386859894,
-0.4448656439781189,
0.5295029878616333,
-0.8517132997512817,
-0.17399829626083374... |
Teacher: 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 ... | run around right and jump around left | 2 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.2279367595911026,
0.5264334678649902,
-0.41078925132751465,
-0.22794391214847565,
-0.14934849739074707,
0.14361196756362915,
0.1471509039402008,
0.8644084334373474,
-0.30117809772491455,
-0.2757298946380615,
-0.8503134250640869,
-0.3455338180065155,
-0.7623950242996216,
-0.15074555575847... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given 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',... | yes | 0 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.7218832969665527,
0.37928271293640137,
0.10106994211673737,
-0.33385419845581055,
-0.5203623175621033,
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0.6167064905166626,
-0.08596979081630707,
-0.15581682324409485,
-0.4481710195541382,
-0.22592732310295105,
0.11029134690761566,
-0.3952449560165405,
0.1088995411992... |
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 | task1197_atomic_classification_oreact | zs_opt | [
0.1632060408592224,
0.24629738926887512,
0.6068810224533081,
-0.6920052766799927,
-0.5471182465553284,
-0.9682718515396118,
1.461989402770996,
0.4639473557472229,
-0.5789448022842407,
-0.4532020688056946,
-0.24024544656276703,
-0.0022159311920404434,
-0.8759097456932068,
0.2005473226308822... |
Detailed Instructions: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Q: Three men have been charged with the murder of a 27-year-old.
... | Adam Chawla: Murder charges over Stockton death | 9 | NIv2 | task1358_xlsum_title_generation | zs_opt | [
-0.28853800892829895,
1.4324171543121338,
-0.4710116982460022,
-1.0735591650009155,
-0.298983097076416,
-0.7528570890426636,
0.2606474459171295,
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-0.7527851462364197,
0.8074123859405518,
-0.5384806394577026,
-0.01245759241282939... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Example: Afinal de contas elas é que decidem, e decidiram mesmo.
Output: אחרי הכל, הם החליטו, והם עשו,
The Portugese sentence is correctly tr... | ה.ע: הגיל שלי — מפני שנולדתי ב1947 — היו לנו, באותו זמן, ממשלה, חוק וסדר. | 1 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
0.1552291363477707,
1.1723570823669434,
0.1356639564037323,
0.11741256713867188,
-0.3892633616924286,
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0.808016300201416,
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-0.6018384695053101,
0.3914087116718292,
-0.5676906704902649,
-0.13978813588619232,
... |
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 sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, o... | No | 0 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.5778447389602661,
0.8307107090950012,
0.5425410270690918,
-0.19934464991092682,
-0.05849070847034454,
-0.670403003692627,
0.6553800702095032,
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0.47881388664245605,
0.4970405101776123,
1.125016450881958,
-0.4966481626033783,
0.4055548310279846,
0.... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | green_envelope | 4 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
0.19788038730621338,
-0.22334960103034973,
-0.12703806161880493,
-0.08041304349899292,
-0.6521656513214111,
-0.7959437370300293,
0.2513160705566406,
0.7898064851760864,
0.2176027148962021,
-0.32011643052101135,
-0.4334203898906708,
0.6233669519424438,
0.056940674781799316,
-0.2673790752887... |
Detailed Instructions: In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
See one example b... | by leaching soluble salts | 4 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.34506452083587646,
0.44946393370628357,
-0.16056182980537415,
0.39812833070755005,
-0.5372718572616577,
-1.0311527252197266,
1.042574405670166,
0.5952724814414978,
-0.062062397599220276,
-0.28785377740859985,
-0.8024523258209229,
0.1685834378004074,
-0.2809496819972992,
0.17544330656528... |
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Teacher: Now, understand the problem? If you are still confused, see the following example:
人の脳の何がそんなに特別なのでしょうか ？
Solution: מה מייחד את המוח האנושי?
Reason: The Japanese sentence is correctly translated into Hebre... | ודארווין אמר, כשמביטים בפרח הזה, "אני מניח שמשהו התפתח במקביל לזה." | 2 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.2251306027173996,
0.20107418298721313,
0.4637998640537262,
-0.6759232878684998,
-0.454677551984787,
-0.5684691071510315,
0.539405882358551,
-0.23042580485343933,
1.0092884302139282,
-0.8295551538467407,
-0.48724812269210815,
0.054591692984104156,
-0.8400230407714844,
0.5388654470443726,... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Bro game la pubg yavida nalla game na f... | Not Hope Speech | 0 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.6884852647781372,
-0.18411177396774292,
-0.006993025075644255,
0.7400834560394287,
-0.15546217560768127,
-1.131709098815918,
0.34833860397338867,
0.7483389973640442,
-0.6191394925117493,
0.24686157703399658,
0.19926786422729492,
0.03482936695218086,
-0.3319769501686096,
-0.8959140777587... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | emotional display
| 5 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.20217272639274597,
0.17223024368286133,
-0.6188446283340454,
0.03719490393996239,
0.17696726322174072,
-0.38988035917282104,
-0.47541069984436035,
0.6810653209686279,
0.010198816657066345,
-0.0346996933221817,
-0.02623423933982849,
0.07450944185256958,
-0.5031336545944214,
-0.34038057923... |
Given the task definition and input, reply with output. You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. ... | Quantity | 5 | NIv2 | task1289_trec_classification | zs_opt | [
-0.4019622206687927,
0.22099551558494568,
-0.06775274127721786,
-0.16183605790138245,
-0.5774965286254883,
-0.6098010540008545,
0.47969940304756165,
-0.29382824897766113,
0.182988703250885,
-0.28940653800964355,
-0.8854016065597534,
-0.05407030135393143,
-0.6088618040084839,
0.463740736246... |
Given the task definition and input, reply with output. You are given a sentence and a question. You're expected to write the correct answer based on the sentence.
Sentence: Some friends are at a local river that has rope swings that can be used to leap into the water. They notice that the old rope swing is frayed in ... | old rope swing | 5 | NIv2 | task1382_quarel_write_correct_answer | zs_opt | [
-0.45404788851737976,
1.0933349132537842,
-0.22079870104789734,
-0.08838148415088654,
-0.2070656567811966,
-0.7626924514770508,
-0.07149732112884521,
0.7193105220794678,
0.07673153281211853,
-0.7094301581382751,
-0.3994409739971161,
0.016384359449148178,
-0.6020946502685547,
0.051164947450... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Input: Consider Input: Given Relationship: 'choose', Sentence: 'We will see the supporters of Israel and haters of Gods chosen at that time .'
Output: chosen
... | Output: with
| 2 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.2229701578617096,
0.8219631910324097,
0.02331485040485859,
-0.022204989567399025,
-0.42727571725845337,
-0.8099650144577026,
0.3166702687740326,
0.38334921002388,
0.32463008165359497,
0.033417582511901855,
-0.09145304560661316,
0.5313724279403687,
-0.3931739330291748,
-0.478643715381622... |
TASK DEFINITION: Classify the given hotel review based on the sentiment it expresses into two classes: negative and positive.
PROBLEM: We were encouraged to stay at the Affinia as part of a group in town for a Chicago wedding. We booked our rooms 6 months in advance, with the promise of a brand-new, full service hotel ... | negative
| 8 | NIv2 | task902_deceptive_opinion_spam_classification | fs_opt | [
0.2348564863204956,
0.172722727060318,
-0.7644681930541992,
-0.053893763571977615,
0.2739056348800659,
-0.023768853396177292,
0.683460533618927,
1.0852872133255005,
0.16504211723804474,
0.21587377786636353,
0.38544511795043945,
0.5691149234771729,
-0.7492408752441406,
-0.3571048974990845,
... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
One example is below.
Q: Alonzo feels angry.
A: male
Rationale: The gender of the person is correct and detected mainly based on the name Alonz... | female | 9 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.4440995156764984,
0.483153760433197,
-0.40291425585746765,
-0.4299224615097046,
-0.3868371844291687,
-0.7653473019599915,
0.6501433849334717,
0.07041957974433899,
0.5480893850326538,
-0.17914816737174988,
-1.0183193683624268,
-0.3056092858314514,
-1.080748200416565,
-0.13423651456832886... |
instruction:
A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence.
question:
रेलवे सुरक्षा बल के कांस्टेबल श्री शिवाजी को बहादुरी के लिए एक लाख रुपये के नकद पुरस्कार के साथ रेल मंत्री के पदक से सम्मानित किया जाएगा... | அங்கு புலிகளின் எண்ணிக்கை 27 சதவீதமாக உயர்ந்துள்ளது.
| 9 | NIv2 | task993_pib_translation_hindi_tamil | fs_opt | [
-0.39957043528556824,
0.4167177975177765,
0.3142748773097992,
0.29646870493888855,
-0.015184508636593819,
-1.077049732208252,
0.4612985849380493,
0.19909310340881348,
-0.05274399742484093,
-0.6864964365959167,
-0.3761141300201416,
0.15579408407211304,
-0.8261650204658508,
0.290922552347183... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
One example: Agora, está ao lado, ou na miña casa.
Solution is here: Now, it's next door, or in my house.
Explanation: The Galician sentence is correctly translated into English. `casa` is correctly translated as `house`.... | Instead of serving family style, where you can sort of mindlessly eat as you're talking, they serve at the counter, put the food away, and then bring it to the table. | 6 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.3241669535636902,
0.9955365061759949,
-0.12421274185180664,
-0.7326115369796753,
-0.05697125568985939,
-1.02804696559906,
0.6553524732589722,
0.6271936893463135,
-0.07458935678005219,
-0.07724699378013611,
-0.20045824348926544,
0.5909568071365356,
-1.118030071258545,
0.1746830940246582,... |
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. Label the instances as "Inversion" or "Original" based on your judgment.
--... | Inversion
| 7 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.6176920533180237,
0.1678614765405655,
0.4744147062301636,
0.07340022921562195,
0.19278889894485474,
-0.06867621839046478,
0.8176754117012024,
0.4086029827594757,
0.4933928847312927,
-0.17556950449943542,
-0.9670271873474121,
-0.5198731422424316,
-0.3979787230491638,
-0.1500447392463684,... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesi... | هیچ کس nbc را تماشا نمی کند. | 1 | NIv2 | task464_parsinlu_entailment_sentence_generation | fs_opt | [
-0.9806263446807861,
0.7091466188430786,
0.1386922001838684,
0.35021090507507324,
-0.20995400846004486,
-0.018067650496959686,
0.24483174085617065,
0.47039562463760376,
0.17077568173408508,
-0.3763396739959717,
-0.8815380334854126,
0.11494291573762894,
0.15236973762512207,
-0.1104976981878... |
Definition: In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Input: Sentence: The const... | Cleaner | 2 | NIv2 | task343_winomt_classification_profession_anti | zs_opt | [
-1.7538297176361084,
0.8288121223449707,
-0.432659387588501,
-0.5676683187484741,
0.16320255398750305,
-0.08311211317777634,
0.13812614977359772,
0.4115196168422699,
0.9502698183059692,
-0.06011669710278511,
-1.3811599016189575,
0.3944277763366699,
-0.7458752393722534,
-0.1910702884197235,... |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
--------
Question: পাটনা বিশ্ববিদ্যালয়ের শতবর্ষ উদযাপন অনুষ্ঠানে ভাষণ দিলেন প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদী
Answer: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਪਟਨਾ ਯੂਨੀਵਰਸਿਟੀ ਦੇ... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਕਿਹਾ ਕਿ ‘ਨਵੇਂ ਭਾਰਤ’ ਦੇ ਸੁਪਨੇ ਨੂੰ ਭਾਰਤ ਅਤੇ ਸਪੇਨ ਵਿਚਕਾਰ ਰਿਸ਼ਤਿਆਂ ਵਿੱਚ ‘ਨਵੇਂ ਸੰਵੇਗ’ ਵੱਲੋਂ ਅੱਗੇ ਵਧਾਇਆ ਜਾਵੇਗਾ ।
| 7 | NIv2 | task1025_pib_translation_bengali_punjabi | fs_opt | [
-0.29520362615585327,
0.01513285469263792,
-0.23265519738197327,
-0.9995315074920654,
-0.4553286135196686,
-0.13928985595703125,
0.7603107690811157,
0.45558997988700867,
0.6824012398719788,
0.5802720785140991,
-0.5304261445999146,
0.4371885657310486,
-0.7835025787353516,
0.4770881831645965... |
TASK DEFINITION: You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
PROBLEM: Sentence1: The U.N. troops are in Congo to protect U.N. installations and personnel , and they can only fire in self defense and have been unable to ste... | No
| 8 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
0.07548783719539642,
0.7599511742591858,
-0.14014598727226257,
0.0009741461835801601,
-0.22488898038864136,
-1.2606433629989624,
1.0863803625106812,
1.3238027095794678,
-0.29923897981643677,
0.13192585110664368,
-0.32803255319595337,
-0.2593401074409485,
-0.7184059619903564,
-0.16496744751... |
Detailed Instructions: You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the... | Where is the gum? | 9 | NIv2 | task1594_yahoo_answers_topics_question_generation | zs_opt | [
0.3196018934249878,
0.9681969285011292,
-1.0059151649475098,
-0.07714972645044327,
0.0026149610057473183,
-0.413996160030365,
0.35965704917907715,
0.18374234437942505,
-0.23752155900001526,
0.1731751412153244,
-0.028620541095733643,
0.656004786491394,
-0.31789249181747437,
-0.0220856182277... |
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