inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: ਟੈਲੀਮੈਡੀਸਨ ਅਤੇ ਇਲੈਕਟ੍ਰੌਨਿਕ-ਸਿਹਤ ਸੂਚਨਾ ਪ੍ਰਣਾਲੀ ਦੇ ਖੇਤਰ ਵਿੱਚ ਅਨੁਭਵਾਂ ਅਤੇ ਤੈਕਨੋਲੋਜੀਆਂ ਦਾ ਅਦਾਨ-ਪ੍ਰਦਾਨ।
A: | టెలిమెడిసిన్ మరియు ఎలక్ట్రానిక్, హెల్త్ ఇన్ఫర్మేశన్ సిస్టమ్స్ రంగం లో అనుభవాలు మరియు సాంకేతిక విజ్ఞానాల ఆదాన ప్రదానం; | 9 | NIv2 | task1065_pib_translation_punjabi_telugu | zs_opt | [
-0.8339344263076782,
0.9466830492019653,
0.6567898988723755,
0.06984639167785645,
0.4884521961212158,
-1.2366786003112793,
0.2026066780090332,
0.43043604493141174,
0.09121668338775635,
-0.18152469396591187,
-0.2265363484621048,
0.14847159385681152,
-0.3027617335319519,
0.3329118490219116,
... |
In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related... | Yes.
| 3 | NIv2 | task057_multirc_classify_incorrect_answer | fs_opt | [
0.5432245135307312,
0.07489331066608429,
-0.3716515004634857,
0.3656540513038635,
0.2578226327896118,
-0.4760325849056244,
0.6791622042655945,
0.7575504779815674,
-0.3329116106033325,
0.06853656470775604,
-0.29010331630706787,
0.07298098504543304,
-0.515887975692749,
0.017575958743691444,
... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
One example: Question: The government... | Heather | 6 | NIv2 | task178_quartz_question_answering | fs_opt | [
-0.36782610416412354,
-0.03306384012103081,
-0.2812185287475586,
-0.23376649618148804,
0.11434687674045563,
-1.0209271907806396,
0.014633029699325562,
0.8214294910430908,
-0.16666868329048157,
0.30579525232315063,
-0.35586637258529663,
-0.7822319269180298,
-0.25588712096214294,
0.034266300... |
Instructions: You are given a target race, 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... | anti-stereotype | 3 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.4014543890953064,
0.21151190996170044,
0.36283570528030396,
-0.37214988470077515,
-0.47386765480041504,
-0.47640693187713623,
0.9099631905555725,
0.8427684903144836,
0.2638804316520691,
-0.23264846205711365,
-0.3284214735031128,
-0.44925108551979065,
-1.0529325008392334,
-0.439471662044... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Beginning: Matt was out... | 1
| 0 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.14803072810173035,
-0.02249729260802269,
-0.08408508449792862,
-0.2053842693567276,
-0.11809834092855453,
-0.3578156530857086,
-0.31762856245040894,
0.9575859308242798,
0.16268667578697205,
0.3190034031867981,
-0.3113805055618286,
-0.4896400570869446,
-0.3023044466972351,
-0.71158099174... |
Given the task definition and input, reply with output. Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Plants are divided into ____ main phyla based on shared characteristics.\Question: Choose ... | b | 5 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | zs_opt | [
-0.7035170793533325,
0.5747425556182861,
-0.32642245292663574,
-0.1438310146331787,
-0.23311300575733185,
-0.41587942838668823,
0.6810833215713501,
0.11565569788217545,
-0.42231133580207825,
-0.2829294204711914,
-0.6896637678146362,
0.12452389299869537,
-0.29633480310440063,
0.220666423439... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: "" PRECISO TRANSFERIR 45 MILLÓNS DE DÓLARES FÓRA DO PAÍS A CAUSA DO ESTADO DE SAÚDE DO MEU MARIDO, NELSON MANDELA. "" Pensade nisto.
Student: | "" אני צריכה להעביר 45 מיליון דולר מחוץ למדינה עקב מצבו הבריאותי של בעלי נלסון. "" תנו לזה לשקוע. | 6 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.6777504682540894,
0.2911965548992157,
0.6148353219032288,
-0.8917033672332764,
0.08945015072822571,
0.17106549441814423,
0.1850900948047638,
0.4721188545227051,
0.040489312261343,
-0.6544749736785889,
0.33999133110046387,
0.2997003197669983,
-0.9591805338859558,
-0.4293862581253052,
1... |
In this task, you are to Translate German text to English
Q: Die Biegeplatten weisen jeweils Zangenbacken mit Reibflächen auf, deren Flächennormalen nach innen gerichtet sind.
A: The bending plates each have tong jaws with friction surfaces, the respective surface normal of which are directed inwards.
****
Q: durchst... | After a while, the rods are pushed through between rotating cleaning brushes (4) and then pulled through transport rollers (3) and laid on a table (1).
****
| 4 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
0.01731286384165287,
0.7567088603973389,
-0.31416890025138855,
-0.09455636888742447,
0.35170093178749084,
-0.7171999216079712,
0.32349535822868347,
0.5044819116592407,
-0.3304762840270996,
0.780012845993042,
0.14525988698005676,
0.10333801805973053,
0.17423129081726074,
0.40006378293037415... |
Teacher:In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Teacher: Now, understand the problem? Solve this instance: Context_1 : Dr. Nicholas Riviera (usually ... | March 24, 1996 | 6 | NIv2 | task170_hotpotqa_answer_generation | zs_opt | [
0.7522872090339661,
-0.06751048564910889,
-0.1815737634897232,
-0.3054942190647125,
0.2802433967590332,
-0.6478461027145386,
0.7197638750076294,
0.4233982563018799,
-0.24605798721313477,
0.12144520878791809,
-0.3279416561126709,
0.8343163132667542,
-0.3676471710205078,
-0.04833137989044189... |
Given the task definition, example input & output, solve the new input case.
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Example: I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The p... | Kindle 3 cover | 1 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.2492637187242508,
0.22444820404052734,
-0.3056970536708832,
-0.2500857710838318,
0.8797591924667358,
0.4457157850265503,
0.28244882822036743,
0.37605735659599304,
0.11239521950483322,
0.6087793707847595,
0.16080135107040405,
-0.202765554189682,
-0.38224074244499207,
-0.16040867567062378... |
Detailed Instructions: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
See one example below:
Problem: Review: For ... | yes | 4 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.27618953585624695,
0.19214674830436707,
-0.4898322820663452,
0.6330344080924988,
0.14328959584236145,
-1.0575721263885498,
0.796179473400116,
1.2956199645996094,
-0.28754058480262756,
0.36753371357917786,
-0.47214215993881226,
0.20566290616989136,
-0.44574785232543945,
0.002820957452058... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Wielu ludzi twierdzi, że nurkowanie w jaskiniach jest bardzo niebezpieczne.
A: | الان شاید خیلی ها به شما بگویند غواصی غار احتمالا یکی از خطرناکترین کوشش هاست. | 7 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.40264207124710083,
0.826786994934082,
-0.41282033920288086,
-0.3402612805366516,
-0.4902530908584595,
-0.4716077446937561,
0.8625755310058594,
-0.19222812354564667,
-0.018403127789497375,
-0.04550737142562866,
-0.5282507538795471,
0.34441161155700684,
-0.3346390426158905,
-0.14910954236... |
Definition: Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial ... | दिशा सदिश शून्य है. | 2 | NIv2 | task877_kde4_translation | zs_opt | [
-0.6969932317733765,
-0.25154972076416016,
0.7179913520812988,
0.38986605405807495,
-0.04158923774957657,
-0.15591493248939514,
0.42984238266944885,
-0.4117509126663208,
-0.018980219960212708,
-0.7873419523239136,
-0.9059345722198486,
-0.08375657349824905,
0.15476390719413757,
0.4065948724... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Example input: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్టి వింత
Examp... | Job's done. | 3 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.5450948476791382,
1.2619050741195679,
0.24732664227485657,
0.17579418420791626,
0.22019770741462708,
-1.3907842636108398,
-0.1274830847978592,
-0.13765788078308105,
-0.3316360414028168,
-0.45722660422325134,
-0.5930474996566772,
-0.16951462626457214,
-0.3829014003276825,
-0.090534381568... |
Given the task definition and input, reply with output. 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 \*y... | Parry Gripp | 5 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.7566518187522888,
0.8860944509506226,
0.19103717803955078,
0.7604536414146423,
-0.41179513931274414,
-0.19696806371212006,
0.6842224597930908,
0.5163483619689941,
0.054309695959091187,
-0.15225936472415924,
-0.6355434060096741,
0.10885082185268402,
-0.36994674801826477,
0.16728441417217... |
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
[Q]: English sentence: These are general hotel policies for Sporthotel Olimpo. As they may vary per room type; please also check the room conditions.
[A]: Ito ang mga pangkalahatang pat... | Napakatagal na ang ganitong maling katuruan na noon pa man ay makikita na sa hardin ng Eden kung saan pinagdudahan ni satanas ang salita ng Diyos at kinumbinse si Adan at Eba na tanggihan ang Diyos at paniwalaan ang kanyang kasinungalingan. Ginagawa pa rin niya ang gayon sa panahon ngayon dahil siya ang "leong umaatung... | 5 | NIv2 | task448_opus_paracrawl_en_tl_translation | fs_opt | [
0.4002731442451477,
-0.20377272367477417,
-0.767190158367157,
-0.32608547806739807,
-0.16827332973480225,
-1.0619332790374756,
-0.001742460997775197,
0.7459424138069153,
-0.18145325779914856,
0.08013268560171127,
-0.41980451345443726,
0.4519492983818054,
-0.9088009595870972,
-0.09364248812... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
One example is below.
Q: This is my go to place to get the best chicken Pad Thai! Also the price is super good,... | NEGATIVE | 9 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-1.696352481842041,
0.008646681904792786,
0.21618419885635376,
-0.0017806421965360641,
0.12732553482055664,
-0.34210431575775146,
0.8763926029205322,
0.6076600551605225,
-0.05151428282260895,
-0.028605036437511444,
0.43335288763046265,
0.1415436565876007,
-0.43475645780563354,
0.6881786584... |
You will be given a definition of a task first, then some input of the task.
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... | toy | 1 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.15446190536022186,
-0.13588398694992065,
-0.1523262858390808,
0.05514690652489662,
0.3495388627052307,
0.6458330154418945,
-0.11838036775588989,
0.4824126362800598,
-0.32580769062042236,
0.6390636563301086,
0.2619919180870056,
0.19028469920158386,
-0.2667688727378845,
-0.571915388107299... |
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 Hebrew. Your job is to translate the Hebrew sentence into Japanese.
מה מייחד את המוח האנושי?
Solution: 人の脳の何がそんなに特別なのでしょうか ？
Why? The Hebrew sentence is correctly transla... | 彼女が「私と結婚したじゃない」と言うと彼は「でもこれは僕の文化的思想だから」と言ったそうです彼らはしっかり議論をして彼女は夫に「娘たちを連れて行くなら私を殺してからにしなさい」と言ったそうです | 0 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.1913313865661621,
0.35905519127845764,
0.3551577627658844,
-0.06639587879180908,
-0.19851505756378174,
-0.14164507389068604,
0.912797212600708,
-0.5701191425323486,
0.5263459086418152,
-0.9508634805679321,
-0.6195626258850098,
0.13916340470314026,
-0.3590720295906067,
0.8270670175552368... |
Detailed Instructions: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers i... | [792, 11856, -21504] | 8 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
0.13097335398197174,
0.18631604313850403,
-0.11394599825143814,
-0.23665177822113037,
-0.07042679190635681,
-0.13505133986473083,
0.7222201228141785,
-0.07680679857730865,
-0.3143240213394165,
-0.2794693410396576,
-0.7826557159423828,
0.0020819315686821938,
-0.5967099070549011,
-0.55730426... |
Detailed Instructions: In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Q: Passage: Large denominations of United States currency -- Large denominations of United States c... | 0 | 9 | NIv2 | task1661_super_glue_classification | zs_opt | [
0.1369398832321167,
-0.01844373717904091,
-0.4143187999725342,
1.0000975131988525,
-0.23972031474113464,
-0.3521726429462433,
0.686686098575592,
1.1390955448150635,
-0.08551518619060516,
-0.09465653449296951,
0.11804042756557465,
0.11716397106647491,
-0.12579742074012756,
-0.26151436567306... |
This task is to translate a news commentary given in French language into Russian language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
One example: L’or à 10.000 dollars l’once\xa0?
Solution is he... | ООН, как и мечта о Европейском единстве, также была частью консенсуса 1945 года. | 6 | NIv2 | task1377_newscomm_translation | fs_opt | [
-0.09242989867925644,
0.9973918199539185,
-0.7642019391059875,
0.17611700296401978,
-0.15879082679748535,
0.03855579346418381,
0.5471951961517334,
1.363698959350586,
0.2129836529493332,
-0.5015470385551453,
-0.8424625992774963,
-0.47890758514404297,
-0.1432819813489914,
-0.0609564222395420... |
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).
Q: The agricultural economy and agricultural regions have been irreparably damaged by the existing regional pol... | La economía agraria y las zonas rurales resultan irreparablemente afectadas por la política regional que se ejerce, con consecuencias dramáticas para el empleo rural y para las condiciones de vida de los agricultores, en el Sur principalmente. | 4 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.4814014434814453,
1.0028982162475586,
0.17269212007522583,
-0.7964365482330322,
-0.6274113655090332,
-1.002367615699768,
0.36976325511932373,
1.4674931764602661,
-0.5890716314315796,
-0.31621670722961426,
-0.9141144752502441,
0.023717381060123444,
-0.4505805969238281,
-0.191385656595230... |
You are given a statement written in Kannada. 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 .
--------
Question: Statement: ವಾಣಿಜ್ಯೋದ್ಯಮದ (ಅರ್ಥಿಕ ವಿಧಾನ) ಆರಂಭಿಕ ರೂಪರೇಷೆಗಳು ರೋಮನ್ ಸಾಮ್ರಾಜ್ಯದ ಸಂದರ್ಭದಲ್ಲಿ ಕಂಡುಬಂದಿ... | ಆಫ್ರಿಕಾ
| 7 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.42082783579826355,
0.4405965507030487,
-0.41813716292381287,
0.5121541023254395,
0.4650792181491852,
-0.18484660983085632,
0.3080398738384247,
1.2522214651107788,
0.26344865560531616,
0.039750657975673676,
0.016944192349910736,
0.7473300695419312,
-0.24783273041248322,
-0.612922310829162... |
Detailed Instructions: In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Problem:Sentence 1: Maria was dressed and ready to go for a run. Sentence 2: ... | b | 8 | NIv2 | task220_rocstories_title_classification | zs_opt | [
-0.055752333253622055,
0.18952882289886475,
-0.3645936846733093,
0.15444815158843994,
-0.7577325105667114,
0.4401344954967499,
0.1221890076994896,
0.8673924207687378,
0.4277665615081787,
0.06826555728912354,
-1.0056891441345215,
-0.1488812267780304,
-0.20818722248077393,
-0.161006510257720... |
Detailed Instructions: In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put... | [161, -71, 119, 18, 164, 136] | 9 | NIv2 | task122_conala_list_index_addition | zs_opt | [
-0.1603437215089798,
0.08294796943664551,
-0.5693888068199158,
-1.0565804243087769,
-0.141099214553833,
0.08074164390563965,
0.9639602303504944,
0.28331267833709717,
0.07123171538114548,
0.19983622431755066,
-0.17944127321243286,
0.7178325653076172,
-0.07178572565317154,
0.0383529737591743... |
Teacher: 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... | (C) | 2 | NIv2 | task268_casehold_legal_answer_generation | fs_opt | [
0.6618683934211731,
0.4393899142742157,
-0.3044812083244324,
-0.44869428873062134,
0.5054511427879333,
-0.8054118156433105,
0.5266818404197693,
1.42799711227417,
-0.7222707867622375,
0.4936251640319824,
-0.031024524942040443,
0.48047447204589844,
-0.40502673387527466,
-0.032084349542856216... |
In this task, you are given a question and a corresponding answer. Your task is to generate a fact statement that is useful in answering the given question.
[EX Q]: Question: If a log is cold it is in? Answer: a tundra.
[EX A]: something in a cold place becomes cold
[EX Q]: Question: It's most likely to rain when the... | when a sound is produced inside of a room , there is sometimes an echo after the sound
| 6 | NIv2 | task1401_obqa_sentence_generation | fs_opt | [
0.36489707231521606,
0.38746461272239685,
-0.6618782877922058,
-0.33580851554870605,
-0.36871734261512756,
-0.9159290790557861,
-0.3241589665412903,
0.6159961819648743,
-0.22248461842536926,
-0.17873919010162354,
0.11354681849479675,
0.08615487813949585,
-0.6756916642189026,
0.181380435824... |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Q: Text: hey everyone,
today i think i have done something that i really regret now... i h... | tifu by looking at olders texts that i have send to one of my old crush... [x/post r/confession] | 4 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
-0.5486745834350586,
0.37832802534103394,
0.5863127708435059,
-0.7667516469955444,
0.5495055317878723,
-0.5633959174156189,
0.5138731002807617,
0.03882959485054016,
-0.1394948661327362,
0.1817740499973297,
-0.22073237597942352,
-0.24327805638313293,
-0.8888040781021118,
0.2251357138156891,... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Q: So the tough ones: going to get the top of Nigeria finished and getting Pakistan finished.
A: | لذا ، فإن الأماكن الأكثر تحديا: أن نقضي عليه في شمال نجيريا و باكستان | 4 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
0.18646268546581268,
0.3680024743080139,
0.41790756583213806,
-0.4825023412704468,
-0.35675981640815735,
0.06468881666660309,
1.3098061084747314,
0.09689044952392578,
0.1772615760564804,
0.913033664226532,
-0.24041374027729034,
0.4894924759864807,
-1.1055471897125244,
0.9779943227767944,
... |
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
Ex Input:
THEM: you can have the balls and one hat if i can have both books and one hat YOU: the books are valuable to me, and i cannot part with them. how about you take both hats and a ball? TH... | Yes
| 1 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
0.4480823278427124,
0.24087335169315338,
-0.20944087207317352,
0.9441995024681091,
0.29424524307250977,
-0.5807250738143921,
0.8360253572463989,
0.19248747825622559,
0.661433219909668,
-0.8251515626907349,
-0.2011667937040329,
0.43047189712524414,
-0.9241116046905518,
-0.17860078811645508,... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Example: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Output: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و در... | پس نیازی نیست که از بابت فروش محصولاتمون نگران باشیم مثلا ، به ازای پول کمتر در جاهایی که فقیر هستند ، و سپس اونا دوباره به آمریکا وارد میشن مثلا ، با صنایع دارو. | 1 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.5857554078102112,
1.032975435256958,
-0.1811605542898178,
0.033367328345775604,
0.11035750806331635,
-0.03460904583334923,
0.80606609582901,
0.6172993183135986,
0.06020502746105194,
-0.05768661946058273,
-1.0575445890426636,
0.04191267490386963,
-0.7981228828430176,
-0.08154098689556122,... |
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 English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
The first two were found unreliable and ... | माली ऋषि प्रकाश कहते हैं , ' ' जो पौधे बलुआ मिट्टीं में नहीं पनप पा रहे , उनकी जगह दूसरे पौधे लगाए जा रहे हौं । | 0 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.28647756576538086,
0.31917643547058105,
0.1722022444009781,
0.17179816961288452,
0.011659380048513412,
-0.8004484176635742,
0.1421286165714264,
0.6739599704742432,
0.17910195887088776,
-0.3704295754432678,
-0.894355833530426,
-0.12418545037508011,
-0.25651973485946655,
0.6344962120056152... |
instruction:
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
question:
Text: Ik ben heel bedroefd.
answer:
Dutch
question:
Text: Thema Amsterdam Light Festival De organisatie van het Light Festival Amsterdam introduceer... | English
| 9 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.6109388470649719,
0.05529705435037613,
0.5455431938171387,
-0.1824338734149933,
0.15825152397155762,
-0.9832245111465454,
-0.8050100803375244,
0.5507456064224243,
0.05526584014296532,
0.24265056848526,
0.20462924242019653,
0.4605366885662079,
-0.7261605858802795,
0.4680041968822479,
-0... |
In this task you will be given a list of integers. You should find the minimum 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 smallest possible absolute distance.
Example input: [... | 3 | 3 | NIv2 | task1445_closest_integers | fs_opt | [
-0.790384829044342,
0.3679657578468323,
0.17920127511024475,
-0.02372663840651512,
-0.08744964003562927,
-0.4825519919395447,
0.9212779998779297,
0.02705046907067299,
0.4245362877845764,
-0.1464296281337738,
-0.12710963189601898,
-0.18606477975845337,
-0.7023499011993408,
-0.22912085056304... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Q: What two element makes up a hyrdocarbon?
A:... | nitrogen and carbon | 4 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
0.1605377197265625,
0.9555108547210693,
0.5169622898101807,
-0.04599854350090027,
-0.25520044565200806,
-0.887200653553009,
0.325744092464447,
0.4388824701309204,
0.4003581404685974,
-0.3770640790462494,
-1.0638405084609985,
-0.7074893712997437,
-0.5280104875564575,
0.42428719997406006,
... |
Detailed Instructions: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem:Problem: a reduction of 48 % in the price of bananas would enable a man to obtain 64 more for rs . 40 ... | d | 8 | NIv2 | task1419_mathqa_gain | zs_opt | [
0.025654122233390808,
0.357548326253891,
-0.10684842616319656,
-0.18236342072486877,
-0.35960131883621216,
-0.268338143825531,
1.06095552444458,
0.9960970282554626,
-0.12640444934368134,
-0.09874267131090164,
-1.2846572399139404,
0.29949864745140076,
-0.9224566221237183,
-0.106493309140205... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
[EX Q]: Facía moito frío fóra.
[EX A]: It's very cold outside.
[EX Q]: Todos estamos vendo a mesma cara.
[EX A]: So we are all looking at the very same face again.
[EX Q]: Agora mirádeme. "" Aaaaaaah "" e vos paro. Imo... | Now look at me. "" Aaaaaah, "" and I stop you. Let's go.
| 6 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.1641063541173935,
0.8575772047042847,
-0.07200340926647186,
-0.4249238669872284,
-0.4123361110687256,
-1.273472785949707,
-0.04646521806716919,
0.2310856729745865,
0.008772624656558037,
-0.17579549551010132,
-0.3539837598800659,
0.3085358142852783,
-0.3334987163543701,
0.627372384071350... |
Given the task definition, example input & output, solve the new input case.
This task is about translating a given English language sentence to Spanish.
Example: It's this amazing wonderful feeling and you know it when you get it.
Output: Es ese sentimiento asombroso e increíble, y lo reconoces cuando lo sientes.
This... | Grabación: | 1 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.2891116738319397,
0.6118986010551453,
0.17175041139125824,
0.12066314369440079,
-0.049289338290691376,
-0.8847386240959167,
0.1416461169719696,
1.39125657081604,
0.2920077443122864,
-0.3581464886665344,
0.1353519707918167,
0.1902487426996231,
0.1385248899459839,
-0.08948013931512833,
... |
In this task, you need to count the number of times the given letter appears in the given sentence.
Q: Sentence: 'a woman sitting in front of a giant slice of cheese pizza'. Find frequency of the letter 'e'
A: 4
****
Q: Sentence: 'two men with colorful ties are posing for a picture'. Find frequency of the letter 'r'
... | 2
****
| 4 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.6849212050437927,
0.48831164836883545,
-0.5479989051818848,
0.12340694665908813,
-0.29124411940574646,
-0.1707279235124588,
0.517687976360321,
0.4150381088256836,
0.04204535484313965,
0.06056751683354378,
-0.23531262576580048,
0.2790573239326477,
0.4121935963630676,
0.283200740814209,
... |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Ex Input:
System Reference: the the inn san francisco, near the mission does offer internet.
Original Reference: th... | 0
| 1 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.7962485551834106,
0.5392370223999023,
-0.9378786683082581,
-0.23983997106552124,
-0.17546716332435608,
-1.004839301109314,
0.4606214165687561,
0.5829930305480957,
-0.02730325236916542,
0.056031107902526855,
-0.07338528335094452,
0.5558550357818604,
-0.38258880376815796,
-0.3844588398933... |
Given the task definition and input, reply with output. This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answe... | 20. | 5 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.13135738670825958,
0.4696935713291168,
-0.6198086142539978,
0.5084266066551208,
0.023737117648124695,
-0.1936662495136261,
-0.033958643674850464,
0.26278558373451233,
-0.0700085312128067,
0.05820243060588837,
-0.4957866370677948,
0.5119239091873169,
-0.268426775932312,
-0.348331749439239... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
Др... | sadness
| 0 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.07348394393920898,
-0.4396391212940216,
0.17945152521133423,
-0.1241166740655899,
-0.4878659248352051,
-0.2057270109653473,
0.6510874032974243,
1.0485856533050537,
-0.2536335587501526,
-0.5241225957870483,
-0.47382113337516785,
0.04959011822938919,
-0.0034961504861712456,
0.077520757913... |
Q: 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.
それは、1月18日以降初めての自爆テロだった。
A: | Itu merupakan pengeboman bunuh diri pertama di Kabul sejak 18 Januari. | 7 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
0.8618993759155273,
1.2539619207382202,
-0.22434690594673157,
-0.8557875156402588,
0.18151479959487915,
-1.0845551490783691,
0.7934553623199463,
0.28749215602874756,
-0.011504622176289558,
0.005706742871552706,
-0.48582354187965393,
0.32476693391799927,
-1.155382513999939,
0.05597523599863... |
Given the task definition and input, reply with output. In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
8, ['561', '241', '6169', 'y', '7715', '9511'... | 561, 241, 6169, y, 7715, 9511, 6455, 2015 | 5 | NIv2 | task063_first_i_elements | zs_opt | [
-0.6234931945800781,
0.5346434116363525,
-0.056023165583610535,
-0.41993820667266846,
-0.11243850737810135,
-0.4257960915565491,
0.0878538191318512,
0.09033672511577606,
-0.35919979214668274,
-0.3896944224834442,
-1.044171690940857,
-0.2842358350753784,
-0.08504126965999603,
-0.04839375242... |
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Example Input: Passage: On 12 June 2008, while Johnston was travelling with the ... | apple pie and array of gourmet meals.
| 3 | NIv2 | task002_quoref_answer_generation | fs_opt | [
1.2786130905151367,
0.8523253202438354,
-0.686450719833374,
0.30004414916038513,
1.1287012100219727,
-0.1288476586341858,
0.7533277273178101,
0.8603724837303162,
-0.4735272228717804,
0.5894232988357544,
0.1407283991575241,
0.35013076663017273,
-0.7127140760421753,
-0.1371244490146637,
-0... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Input: Consider Input: Somali sentence: 43 Oo haddii cudurku mar kale guriga ku soo noqdo oo uu ka soo dhex baxo, markii dhagaxyada laga bixiyey oo guriga oo dhan la xoqay oo la malaasay ... | Output: descending from heaven like a dove, and it abode upon
| 2 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
0.20260809361934662,
1.648500919342041,
-0.7278059720993042,
-0.0009681226219981909,
0.45859667658805847,
-1.4687284231185913,
0.1850699484348297,
0.8599436283111572,
-0.2372792810201645,
0.4788846969604492,
-0.48426350951194763,
1.4250420331954956,
-0.8691904544830322,
0.03643802553415298... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
かつての地形が現在どうなっているのか探すのは楽しいものです | من الممتع أن نبحث عن أماكن بعض الأشياء المتعلقة بالتضاريس القديمة. | 0 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.7397504448890686,
0.3249831199645996,
-0.1622440367937088,
-0.6527332663536072,
-0.3293176293373108,
0.6896470785140991,
1.139963150024414,
0.05985043942928314,
0.7252049446105957,
-0.5537155866622925,
-1.064321517944336,
-0.3994857370853424,
-0.4937371611595154,
0.15716034173965454,
... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Italian.
He famously used thought experiments, which are essentially elaborate analogies, to come up with some of his greatest discoveries.
A: | E 'noto che egli usava sperimentare col pensiero chè è sostanzialmente un'analogia elaborata per arrivare ad alcune delle sue scoperte più importanti. | 7 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.5136518478393555,
0.8740821480751038,
0.6136941909790039,
0.31290459632873535,
-0.3711415231227875,
-0.4469371438026428,
0.4841311275959015,
0.17241942882537842,
0.38949844241142273,
-0.32484474778175354,
-0.5675816535949707,
0.8199866414070129,
-0.5844281911849976,
0.26608484983444214,... |
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 ... | turn opposite right thrice after look right | 2 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.256805419921875,
0.576060950756073,
-0.39123526215553284,
-0.2448875606060028,
-0.044887691736221313,
0.08321249485015869,
0.22190818190574646,
0.7614296078681946,
-0.28418248891830444,
-0.3301432728767395,
-0.840667188167572,
-0.2920352518558502,
-0.690403938293457,
-0.15966138243675232... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Q: امپراتور از بین رفته ، خُب ما با این طرح که مردم یکسانی را تولید می کند چه کنیم ، و چه کاری خواهیم کرد اگر هرگز کار دیگری برای این سیستم نکنیم ؟
A: Imperium już nie ma. Cóż począć więc z tym urządzeniem wytwarzającym id... | Potrzebowali otwartości - stworzyć normę, który stanowiła by, że publikacja eksperymentu musi zawierać i tezy i opis jego przebiegu.
****
| 4 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.5222472548484802,
0.948562741279602,
-0.42031359672546387,
-0.24738560616970062,
-0.5478521585464478,
-0.16625189781188965,
0.8125991821289062,
0.22185340523719788,
0.03335873782634735,
-0.2928590178489685,
-0.8028149604797363,
0.23980234563350677,
-0.36714887619018555,
0.11847661435604... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in the s... | 1a, 5c
| 1 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.3251797556877136,
0.1880371868610382,
-0.37036386132240295,
0.546776294708252,
0.1406676173210144,
-0.3757008910179138,
0.6037042140960693,
1.1918081045150757,
-0.2814299464225769,
0.3141478896141052,
-0.33128392696380615,
-0.24416492879390717,
-0.11772814393043518,
-0.25368112325668335,... |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 64. | 9 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.4583965539932251,
0.4740794897079468,
-0.34179455041885376,
-0.13436174392700195,
0.20502248406410217,
-1.092621088027954,
1.0007020235061646,
0.5041455030441284,
0.1942429542541504,
-0.15659090876579285,
-0.40547290444374084,
0.5560072064399719,
-0.9652334451675415,
0.04407148435711861,... |
Detailed Instructions: Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
See one example below:
Problem: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって... | No | 4 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.1729479432106018,
-0.39515528082847595,
-0.31504565477371216,
-0.01761135831475258,
-0.08074520528316498,
-0.3571600914001465,
0.519097089767456,
0.0233173705637455,
-0.5249282121658325,
-0.27376848459243774,
-0.2466902732849121,
0.7366693615913391,
-0.16126632690429688,
1.0154924392700... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
--------
Question: Person1: Do you have a family tradition at Chri... | 0
| 7 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.011635205708444118,
0.007453600410372019,
0.21029704809188843,
0.22355523705482483,
0.5930929780006409,
-0.46456456184387207,
0.7571427822113037,
0.7812286615371704,
-0.24905255436897278,
-0.06065010279417038,
-0.2990929186344147,
-0.03250250220298767,
-0.6213350296020508,
-0.14207601547... |
Part 1. Definition
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building bl... | I_LOOK I_LOOK I_TURN_RIGHT I_TURN_RIGHT | 7 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.07699234783649445,
0.6035418510437012,
-0.4056662321090698,
-0.11306919902563095,
0.30128929018974304,
0.2859160304069519,
0.5695957541465759,
0.15963241457939148,
-0.16185727715492249,
-0.34088486433029175,
-0.9547115564346313,
-0.24981750547885895,
-0.8581080436706543,
-0.1840582340955... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Let me give you an example: Event: PersonX not does Perso... | happy | 8 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.24523115158081055,
0.3161861002445221,
0.2359846979379654,
-0.6907248497009277,
-0.5524994730949402,
-0.5927255153656006,
1.2486050128936768,
0.3782094120979309,
0.287872850894928,
-0.45348218083381653,
0.37602031230926514,
0.22369535267353058,
-0.6840165853500366,
0.08923810720443726,
... |
instruction:
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides addi... | weakener
| 9 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.41903749108314514,
0.0048756967298686504,
-0.5080084800720215,
0.1041049212217331,
-0.2731480300426483,
-1.0277972221374512,
1.1552459001541138,
1.1928781270980835,
0.4415687918663025,
-0.5823279619216919,
-1.1780619621276855,
-0.11754506826400757,
-0.8353501558303833,
0.0425041168928146... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | 14313
| 5 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.1655893325805664,
0.16243292391300201,
-0.540402352809906,
-0.4703078269958496,
-0.2843102812767029,
-0.3969954252243042,
0.3240899443626404,
0.3430732488632202,
-0.6791287064552307,
0.3626248836517334,
-1.0545121431350708,
0.5094857215881348,
0.09489169716835022,
-0.15644964575767517,
... |
Detailed Instructions: Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearran... | A valley is formed by what in the wilderness? | 8 | NIv2 | task040_qasc_question_generation | zs_opt | [
0.46694478392601013,
1.0885143280029297,
0.14207500219345093,
-0.28697752952575684,
-0.6892755031585693,
-0.7579615116119385,
0.6239770650863647,
1.1130609512329102,
0.05073562264442444,
-0.5514861345291138,
-1.0595276355743408,
-0.13255316019058228,
-0.4365934729576111,
0.2260830104351043... |
Detailed Instructions: In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Problem:[123.607, 44.731,... | 28.222 | 8 | NIv2 | task094_conala_calculate_mean | zs_opt | [
-0.6025457978248596,
0.3784369230270386,
-1.0393116474151611,
-1.5249693393707275,
-0.010833494365215302,
0.5412174463272095,
0.8375796675682068,
-0.09073382616043091,
-0.10983867943286896,
0.002464635530486703,
-0.8480578660964966,
0.6064797639846802,
-1.0007554292678833,
0.26973265409469... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
What is transfer RNA (tRNA) ? | ¿Qué es el RNA de transferencia (tRNA)? | 0 | NIv2 | task1432_head_qa_language_translation_en_to_es | zs_opt | [
-1.3961155414581299,
0.8332449197769165,
-0.27713543176651,
1.1820893287658691,
0.04541562497615814,
-0.42574092745780945,
-0.691677987575531,
1.4373667240142822,
-0.024777453392744064,
-0.6118941307067871,
-0.35449346899986267,
0.8560861945152283,
-0.8805698156356812,
0.7230209112167358,
... |
Q: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justific... | English pirate | 7 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
-0.18519848585128784,
0.08779604732990265,
0.563503623008728,
-0.539685845375061,
-0.2840905785560608,
-0.22465479373931885,
-0.1494787037372589,
-0.10780131816864014,
0.3268887996673584,
-0.5370700359344482,
-0.08725081384181976,
0.06724760681390762,
-1.1504685878753662,
-0.15180782973766... |
Definition: In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Input: 7, ['S', 'E', '9629', '5491', '4099', 's', 'R', '7975', '7481', 'T', 'R', '7209', 'F', '2319', '3711', '9527', 'z', '265', 'w', '9947', '655']
Outpu... | S, 7975, 3711 | 2 | NIv2 | task1542_every_ith_element_from_starting | zs_opt | [
0.21669228374958038,
0.6253578662872314,
-0.2943741977214813,
0.09692120552062988,
0.004473919048905373,
-0.1674090325832367,
0.20736649632453918,
-0.38867294788360596,
0.39037060737609863,
-0.36856842041015625,
-0.5275408029556274,
-0.11489254236221313,
-0.24641813337802887,
0.22034677863... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Było mi ich szkoda.
Output: | Yo sentía gran lástima por la familia de Fide. | 1 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-0.8447842597961426,
0.5552371144294739,
-0.23413799703121185,
-0.20885518193244934,
-0.04707403481006622,
0.06806027889251709,
0.9980214834213257,
0.28037571907043457,
0.6637275218963623,
-0.42476269602775574,
-0.3015390634536743,
0.30101943016052246,
-0.44681090116500854,
0.3501846194267... |
Teacher:Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Teacher: Now, understand the problem? Solve this instance: Someone steps forward to greet them. Someone
Student: | lunges seductively at someone, who bowls and turns them away. | 6 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
0.239558145403862,
0.8383921384811401,
-0.0785861536860466,
-0.2019755244255066,
-0.3966691493988037,
-0.3588595390319824,
-0.054881058633327484,
0.21824324131011963,
0.6962954998016357,
-0.009547416120767593,
-0.15806590020656586,
-0.14363881945610046,
-0.4855804443359375,
-0.523015737533... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Voedsel kan in stukken worden gebroken om te eten.
| 6 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.23116037249565125,
0.6077921390533447,
-0.08698519319295883,
-0.1197759136557579,
-0.1552799493074417,
-0.5015048980712891,
-0.15062198042869568,
1.074150562286377,
0.16589559614658356,
-0.2376907914876938,
-0.1913575977087021,
0.6190430521965027,
-0.43941405415534973,
0.344559788703918... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
[EX Q]: Obama voted "to cut off funding f... | education
| 6 | NIv2 | task613_politifact_text_generation | fs_opt | [
-0.461215615272522,
0.4592742919921875,
0.24432864785194397,
-0.23090198636054993,
-0.07553254067897797,
-0.8386389017105103,
0.7628360986709595,
0.6632766723632812,
0.34137192368507385,
-0.04312848299741745,
-0.004850943572819233,
0.045077405869960785,
-0.8423512578010559,
-0.462956428527... |
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 need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be Perso... | PersonX comforts PersonY when they tend to over react and panic. _ watches out for his friend. | 0 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
1.1569476127624512,
0.38151684403419495,
-0.2731584310531616,
0.24359771609306335,
0.29454466700553894,
-0.450816810131073,
1.0623664855957031,
1.045379638671875,
-0.46905726194381714,
-0.7239840626716614,
-0.021342702209949493,
0.025775514543056488,
-0.4537995457649231,
0.4004454612731933... |
TASK DEFINITION: Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
PROBLE... | cause
| 8 | NIv2 | task1629_copa_hr_classification | fs_opt | [
-0.6672306060791016,
0.06058857589960098,
-0.27443528175354004,
-0.07261407375335693,
-0.40590161085128784,
-0.46851250529289246,
0.06188989803195,
0.5153489112854004,
-0.03477020561695099,
-0.04633794724941254,
0.009036814793944359,
0.3742581009864807,
-0.5089021921157837,
-0.253590643405... |
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 English.
מי שחושב שאפשר לנהל מלחמה בפירטיות כמו בטרור ולנצח, טועה.
Output: | If anyone thinks you can have a war on piracy like a war on terrorism and beat it, you're wrong. | 1 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.8439224362373352,
0.9606224298477173,
0.5586257576942444,
-0.059734150767326355,
-0.2907361388206482,
-0.2973164916038513,
0.7431116104125977,
0.2567129135131836,
0.8941446542739868,
0.01398830022662878,
-0.3721368908882141,
0.1269477754831314,
-0.76393723487854,
-0.09026291221380234,
... |
Teacher:In this task, you are given a sentence in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: Source SHAAM NEWS NETWORK _BAR_ SNN.
Student: | منبع عکس: شبکهی خبر شام _BAR_ SNN. | 6 | NIv2 | task663_global_voices_en_fa_translation | zs_opt | [
-0.03525414317846298,
0.3812243342399597,
0.1815057098865509,
-0.8410701155662537,
-0.21987707912921906,
-0.24183590710163116,
0.3595808744430542,
0.981482744216919,
0.34354662895202637,
0.13410228490829468,
0.21104079484939575,
0.5476329326629639,
-1.3379452228546143,
-0.5999988913536072,... |
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.
One example: Sentence: The chief refus... | Tailor | 6 | NIv2 | task343_winomt_classification_profession_anti | fs_opt | [
-1.2090718746185303,
0.7055402398109436,
0.10805849730968475,
-0.8556737303733826,
0.3455395996570587,
-0.48455488681793213,
0.1565791219472885,
0.9058790802955627,
0.4230456054210663,
-0.009292762726545334,
-1.3435990810394287,
0.13796523213386536,
-0.8758658766746521,
-0.2636300921440124... |
Detailed Instructions: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Problem:Sentence: Since xname is a Thai place and pricey. It i... | service[acceptable], cuisine[Thai], location[Midtown East] | 8 | NIv2 | task1597_nyc_slot_filling | zs_opt | [
-0.4912675619125366,
0.028751254081726074,
-0.49626803398132324,
-0.6376890540122986,
-0.25963467359542847,
0.019608110189437866,
0.6356023550033569,
0.5996564626693726,
0.09529456496238708,
0.2029704600572586,
0.6690715551376343,
-0.17307643592357635,
-0.32310158014297485,
0.4216314554214... |
In this task, you are to Translate German text to English
Example Input: 1, 2 und 3
Example Output: 1, 2 and 3
Example Input: Der Ständer zur Aufnahme von z.B.
Example Output: The stand proposed for holding e.g.
Example Input: Das Uebersetzungsverhaeltnis des Hebels ist veraenderlich.
Example Output: | The translation ratio of the lever is variable.
| 3 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
-0.5260032415390015,
0.3333742618560791,
-0.3273957371711731,
-0.11554592102766037,
-0.2649298310279846,
-0.053154245018959045,
0.14439477026462555,
0.9592818021774292,
0.40097931027412415,
-0.2838074862957001,
-0.7157067656517029,
-0.007183247245848179,
0.11408664286136627,
-0.60314416885... |
Given a scientific question, generate a correct answer to it.
Q: Some protists absorb nutrients from decaying matter like a what?
A: | fungus | 4 | NIv2 | task591_sciq_answer_generation | zs_opt | [
0.6972216367721558,
1.3320871591567993,
-0.454156756401062,
-0.004964330233633518,
-0.5645699501037598,
-1.143934965133667,
-0.35678985714912415,
0.27359500527381897,
-0.015739385038614273,
0.050100721418857574,
-0.30140814185142517,
-0.17865371704101562,
-1.1715493202209473,
0.50753569602... |
Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Problem:get dressed , charles , or get out .
Solution: | يا لباس بپوش يا برو بيرون چارلي . | 8 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
0.02096114680171013,
0.9691223502159119,
-0.674116313457489,
0.10822172462940216,
-0.7887020111083984,
-0.7158940434455872,
-0.20814579725265503,
0.5769163966178894,
0.41474801301956177,
0.2864578366279602,
-0.5906060934066772,
-0.008083540014922619,
-0.9953821301460266,
-0.124384336173534... |
Definition: In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,.... | name[The Golden Curry], food[French], priceRange[cheap], familyFriendly[yes], near[The Bakers] | 2 | NIv2 | task958_e2e_nlg_text_generation_parse | zs_opt | [
-0.5044352412223816,
0.2668706178665161,
-0.14347895979881287,
-0.14566414058208466,
0.05322398990392685,
-0.16697882115840912,
0.7093743085861206,
0.5227463841438293,
0.10885392874479294,
0.012693014927208424,
0.46459442377090454,
-0.35578975081443787,
-0.4153846502304077,
-0.434781134128... |
Given the task definition and input, reply with output. In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the informat... | When did Akbar begin his reign on the throne in Delhi? | 5 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
0.7914854288101196,
1.3785679340362549,
-0.20648565888404846,
-0.30483198165893555,
-0.2948341369628906,
-0.8314902782440186,
-0.009594976902008057,
0.579764187335968,
-0.20320649445056915,
-0.1846173107624054,
-0.5387616157531738,
0.6671227216720581,
-0.7423949241638184,
-0.14305503666400... |
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an u... | long.
| 7 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.2849186360836029,
0.259405255317688,
-0.5577527284622192,
-0.22125089168548584,
0.26869720220565796,
-0.8078349828720093,
0.35784950852394104,
1.1909234523773193,
-0.29999732971191406,
0.4377889633178711,
-1.0839481353759766,
-0.059806257486343384,
-0.4241999387741089,
-0.066940501332283... |
Teacher:Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: Pagbabawalan na ang mga makinarya ng vendo na nagbebenta ng sigarilyo sa publik... | 煙草広告および後援と同じく、公共の場で煙草を売る自動販売機も禁止される。 | 6 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.4965311884880066,
-0.19546398520469666,
-0.055960047990083694,
-0.6985599398612976,
0.11245344579219818,
-0.5196834802627563,
0.9893961548805237,
0.42224931716918945,
-0.06031198427081108,
-0.2868344187736511,
-0.7666785717010498,
0.2113390564918518,
-0.09567286819219589,
0.435465097427... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Q: Guardano Karajan. E poi si guardano l'un l'altro.
A: | Patrzą na Karajana. A potem patrzą na siebie nawzajem. | 9 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
0.39457404613494873,
1.2908577919006348,
-0.25623583793640137,
-0.23773016035556793,
-0.2520509958267212,
-0.05317799374461174,
0.47595342993736267,
-0.5893977880477905,
0.07525433599948883,
-0.5426284074783325,
-0.5080150961875916,
0.1284569799900055,
-0.5025266408920288,
0.71081149578094... |
In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example input: Hopeful for those who seek harmony in the world . I wouldn't recommend thi... | NEG | 3 | NIv2 | task476_cls_english_books_classification | fs_opt | [
-0.6800428032875061,
0.8353661894798279,
-0.3402034640312195,
-0.3061341345310211,
0.06830304116010666,
-0.8390973806381226,
1.1102744340896606,
0.03697448596358299,
0.2343982458114624,
0.25397294759750366,
-0.7016141414642334,
0.2748463749885559,
-0.5157567262649536,
-0.012659041211009026... |
Detailed Instructions: In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Problem:[1, 0, 0, 6, 1, 1, 5, 3]
Solution: | [6, 5, 3] | 8 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
0.3877124786376953,
-0.15949638187885284,
0.0017894695047289133,
-0.49446749687194824,
0.0012106068897992373,
-0.31739097833633423,
0.8335291147232056,
0.2940825819969177,
-0.6384091973304749,
-0.33887678384780884,
-1.1424462795257568,
0.036928243935108185,
-0.1602398157119751,
-0.48361074... |
In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
[EX Q]: যতটুকু প্রয়োজন, ততটুকু আয়োজন! হুম কথার সাথে কাজের মিল আছে। ভাল বই।
[EX A]: positive
[EX Q]: এই বইটি পড়তে পেরে আমি খুব আনন্দিত । রকমারির সার্... | negative
| 6 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | fs_opt | [
-1.029567837715149,
-0.07832087576389313,
0.032224565744400024,
-0.4850960969924927,
0.3299223780632019,
-0.45962274074554443,
0.4222318232059479,
0.28706908226013184,
0.5635190010070801,
-0.05755045637488365,
-1.1168549060821533,
-0.3771156966686249,
-0.6256689429283142,
-0.51599860191345... |
Given the task definition and input, reply with output. You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the... | Yes | 5 | NIv2 | task456_matres_intention_classification | zs_opt | [
-0.44874581694602966,
0.632716953754425,
0.2814553380012512,
0.564845085144043,
-0.42485707998275757,
-0.14012357592582703,
-0.27124908566474915,
0.5218783617019653,
0.11803112179040909,
0.19183063507080078,
-0.430480420589447,
0.18577954173088074,
-0.1827508807182312,
0.026180129498243332... |
Teacher:In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Teacher:... | c, S, E, 8967, f, 1403, b, 3843, 221, s, e, X | 6 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-0.18801948428153992,
0.18709275126457214,
-0.450691819190979,
-0.6802123785018921,
-0.2968832850456238,
-0.3510286808013916,
0.18358048796653748,
0.5305181741714478,
-0.5147466659545898,
0.5540574789047241,
-0.6065362691879272,
0.10805214941501617,
0.032976098358631134,
-0.464194506406784... |
Given a paragraph from a Wikipedia article about some topic, and a question related to the topic, determine whether the question is answerable from the paragraph. If the question is answerable, answer "True", otherwise, answer "False".
One example: Another approach to brain function is to examine the consequences of da... | True | 6 | NIv2 | task1640_aqa1.0_answerable_unanswerable_question_classification | fs_opt | [
0.3845432996749878,
0.8719632029533386,
0.13916325569152832,
-0.13926777243614197,
-0.4087924063205719,
-1.0775948762893677,
0.7862170338630676,
0.30914491415023804,
0.272133469581604,
-0.2662106156349182,
0.023005777969956398,
0.3444306254386902,
-0.9913012981414795,
0.5237768888473511,
... |
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific ... | RANDOM | 8 | NIv2 | task1505_root09_semantic_relation_classification | fs_opt | [
-0.6664620637893677,
0.4511859118938446,
0.1605650782585144,
-0.21271857619285583,
-0.5773751139640808,
-0.32928532361984253,
0.15454338490962982,
0.16825637221336365,
0.12624552845954895,
-0.3301314413547516,
-0.7055539488792419,
-0.29193201661109924,
-0.6149067878723145,
0.47871354222297... |
Instructions: Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: 彼はその場を「独占的な」米国の外交政策を批判し、ウラジミール・プーチンはロシアにとって正しい選択だと述べる機会とした。
Output: | และได้ใช้โอกาสนี้วิจารณ์นโยบายต่างประเทศแบบ "ผูกขาด"ของสหรัฐและกล่าวว่าวลาดิมีร์ ปูติน เป็นตัวเลือกที่ถูกต้องสำหรับรัสเซีย | 3 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
-0.23720532655715942,
0.28374990820884705,
-0.18677586317062378,
-0.2837477922439575,
-0.15678749978542328,
-0.7416708469390869,
0.8723263740539551,
-0.19609780609607697,
-0.3410598635673523,
0.6507588624954224,
-0.2962876558303833,
0.18454071879386902,
0.15986955165863037,
-0.301210194826... |
Teacher: Generate a correct and concise answer for the question based on the words in the context.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the moder... | DePauw University | 2 | NIv2 | task1327_qa_zre_answer_generation_from_question | fs_opt | [
0.9761192202568054,
0.6452230215072632,
-0.20817360281944275,
-0.40782976150512695,
0.12642544507980347,
-0.022371891885995865,
-0.0498415045440197,
0.4954203963279724,
0.20696201920509338,
0.8501714468002319,
1.0989655256271362,
0.7469538450241089,
-1.3690866231918335,
0.03842773288488388... |
In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. The correct answer w... | Caín i Abel | 4 | NIv2 | task837_viquiquad_answer_generation | zs_opt | [
-0.34568819403648376,
1.5167821645736694,
-0.08943311870098114,
-0.479294091463089,
-0.5627582669258118,
-0.7389570474624634,
0.8137912750244141,
1.0369610786437988,
-0.7531365752220154,
0.36787742376327515,
-0.14306753873825073,
-0.08207537978887558,
-0.2454622983932495,
0.608897686004638... |
Teacher:In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions ... | 4b, 5c | 6 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
0.8736782073974609,
-0.3227883279323578,
-0.4769935607910156,
0.2972118556499481,
0.1775178760290146,
-0.27646610140800476,
0.20895081758499146,
0.6276546120643616,
-0.45527762174606323,
0.42687225341796875,
0.21897530555725098,
-0.34728655219078064,
-0.2739424705505371,
-0.429687559604644... |
Given the task definition and input, reply with output. In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest... | Yes | 5 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.6731743812561035,
0.6699874401092529,
0.5331131219863892,
0.24126136302947998,
-0.2609463632106781,
-0.16164003312587738,
-0.22924281656742096,
0.43708863854408264,
-0.033576272428035736,
-0.4262334108352661,
-0.5700176954269409,
-0.08753567934036255,
0.024476315826177597,
0.45557004213... |
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 ... | run opposite left thrice and run opposite right twice | 3 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.3484910726547241,
0.6868703365325928,
-0.32219958305358887,
0.09661287069320679,
-0.09276676177978516,
0.32669633626937866,
-0.0718340277671814,
0.9436736106872559,
-0.5814099907875061,
-0.19755852222442627,
-0.9650148153305054,
-0.4966464638710022,
-0.7207591533660889,
-0.20278349518775... |
Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: Ito ay naiulat na ang Jeep na minamaneho ni Ryan ay bumagsak sa tabi ng Pacific Coast Highway at lumapag sa mga bato.
A: ライアン氏が運転するジープはパシフィック... | 報告では、兵士にとって最もいやなのはイラクでの滞在期間で、少なくても１年間だった。
****
| 4 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.8682990670204163,
-0.527601957321167,
-0.09791815280914307,
-0.8869077563285828,
-0.13457268476486206,
-0.16845235228538513,
0.6211049556732178,
0.6101903319358826,
0.04532162472605705,
-0.28940972685813904,
-0.6549072265625,
0.3758770227432251,
-0.571306049823761,
0.31242358684539795,
... |
Given a statement and question, generate the answer to the question such that the answer is contained in the statement.
[Q]: statement: When the planet was buried in snow and ice it was known as the glacial eras, question: What was the era called when the planet was buried in snow and ice?
[A]: glacial
[Q]: statemen... | scope
| 5 | NIv2 | task1581_eqasc-perturbed_answer_generation | fs_opt | [
0.23912456631660461,
0.8783490657806396,
-0.559232771396637,
0.11150719970464706,
-0.324006587266922,
-1.0476512908935547,
-0.4627671241760254,
-0.2677878141403198,
-0.5062171816825867,
-0.4220462441444397,
0.008148519322276115,
-0.03890884295105934,
-0.35448282957077026,
0.191443309187889... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Input: E tivemos a sorte de atopar que mutacións que danan un só xen chamado daf-2 dobran a esperanza de vida do vermiño..
Output: | Siamo stati molto fortunati e abbiamo scoperto che le mutazioni che danneggiano un singolo gene chiamato daf-2 raddoppiano la vita del piccolo verme. | 2 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
-0.4650319516658783,
0.3596196472644806,
-0.33879297971725464,
-0.7493603229522705,
-0.6456505060195923,
-0.7036889791488647,
0.7270200252532959,
0.7004791498184204,
-0.19714325666427612,
-0.4592137336730957,
-0.8465578556060791,
0.5324809551239014,
-0.8921468257904053,
0.10529699921607971... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Q: Article: My wife and I have always been friendly with the clerks at the local convenience store. I don't think many people appreciate what a difficult job these folks have. They work... | Who is most affected by noisy classrooms?
****
| 4 | NIv2 | task311_race_question_generation | fs_opt | [
0.7725749015808105,
0.5510556697845459,
-0.44844192266464233,
-0.18590043485164642,
1.001326322555542,
-0.4079180359840393,
0.3827977180480957,
1.002913236618042,
-0.09828098118305206,
-0.15040180087089539,
-0.11427752673625946,
0.24356240034103394,
-0.3353996276855469,
0.39543452858924866... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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... | joy | 0 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.36432212591171265,
0.4256288707256317,
0.30574339628219604,
-0.6888637542724609,
-0.024740472435951233,
-0.40612462162971497,
1.4968278408050537,
0.0646071806550026,
0.38067004084587097,
-0.3768133223056793,
-0.37561845779418945,
-0.46899867057800293,
-0.2641803026199341,
0.092175893485... |
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