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 |
|---|---|---|---|---|---|---|
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
La fuga atmosférica no es específica del planeta Tierra. | Parowanie atmosfer występuje też na innych planetach. | 0 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-1.1864314079284668,
1.0650793313980103,
-0.5783740282058716,
-0.20269477367401123,
-0.5713245868682861,
-1.1404175758361816,
0.21999937295913696,
-0.7754592895507812,
0.1755504608154297,
-0.7603669762611389,
-0.5178977251052856,
0.19406718015670776,
-0.6994142532348633,
0.4018919169902801... |
Detailed Instructions: In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, an... | D8135p | 8 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
0.029735947027802467,
0.2358809858560562,
-0.722086489200592,
-0.6398183107376099,
0.008227561600506306,
0.10836784541606903,
0.8615526556968689,
0.004587190225720406,
0.13220670819282532,
0.14133711159229279,
-1.179185390472412,
-0.14117582142353058,
0.2709381580352783,
-0.348534047603607... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: זו רק ההוצאה לפועל של המוזיקה הכתובה, ללא פרשנות. פרשנות היא הסיפור האמיתי של המבצע.
Student: | É soamente a execución de música escrita, sen interpretación "". A interpretación é a historia real do artista. | 6 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.8698832392692566,
0.6333764791488647,
0.04780832678079605,
-0.24067318439483643,
-0.5201587677001953,
-0.48162558674812317,
0.18891149759292603,
1.1369657516479492,
0.48791617155075073,
-0.4411429762840271,
-0.41179168224334717,
-0.13097521662712097,
-0.4569240212440491,
-0.267350763082... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Problem:Nie zachowujemy ich wszystkich.
Solution: | אנו לא שומרים את כולם אצלנו. | 8 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.06640473753213882,
0.44123783707618713,
0.2697889804840088,
0.10089640319347382,
-0.5513043403625488,
-0.6839869022369385,
1.252119541168213,
-0.7360313534736633,
0.5297645330429077,
-0.23017343878746033,
-0.19637465476989746,
0.12072539329528809,
-0.9492342472076416,
0.3868232369422912... |
Teacher: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Teacher: Now, understand the probl... | yes | 2 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.5285800099372864,
-0.11916105449199677,
0.5907966494560242,
0.05255462974309921,
0.20746742188930511,
-0.43726688623428345,
0.3311580419540405,
0.8605119585990906,
-0.24905961751937866,
-0.06988818943500519,
-0.24677833914756775,
-0.2646867036819458,
0.07421838492155075,
-0.053214296698... |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor... | Solution: positive | 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.35274749994277954,
0.28749072551727295,
0.541179358959198,
-0.5613875389099121,
-0.004957927856594324,
0.06689497083425522,
0.49540531635284424,
0.3319811522960663,
0.02835988439619541,
0.6695359945297241,
-0.15961962938308716,
-0.1283419281244278,
-0.6417914628982544,
-0.25862002372741... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | ¿A qué tienen miedo Van Gaal y Núñez?
| 5 | NIv2 | task1335_sqac_question_generation | fs_opt | [
1.0731401443481445,
0.526399552822113,
-0.21757572889328003,
0.00577294547110796,
0.8479421734809875,
-0.2516822814941406,
0.799104630947113,
1.0289018154144287,
0.05962783098220825,
0.10120755434036255,
-0.4463593065738678,
0.44954559206962585,
-0.5950382351875305,
0.17331792414188385,
... |
TASK DEFINITION: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
PROBLEM: إنه عمل بثمن.
SOLUTION: It's a job that pays.
PROBLEM: -هل وضعته بمكان ما؟
SOLUTION: - Did you put it someplace?
PROBLEM: عندما كنت في فريق الرياضة للنساء الأولمبي في (ألمانيا الشرقية) للساحة و... | When I was a sportswoman on the East German Olympic track-and-field team they dispensed anabolic steroids as freely as here in America they dole out Gatorade.
| 8 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
0.19776540994644165,
0.23626583814620972,
-0.4615357518196106,
-0.530051052570343,
-0.3177940845489502,
0.7194664478302002,
1.3570810556411743,
0.0849880799651146,
0.682133674621582,
-0.4327378273010254,
-0.7706595659255981,
0.28601324558258057,
-0.6277313828468323,
0.34972310066223145,
... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provide... | He was towing it behind his truck when someone ran into the trailer and rammed a big hole in the boat totaling it.
| 3 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.4747382700443268,
-0.15011052787303925,
0.1337181180715561,
0.2457926869392395,
0.5097314119338989,
-0.6812270283699036,
0.2104167342185974,
1.3967204093933105,
-0.2669324576854706,
-0.1636257767677307,
-0.6029536724090576,
-0.08944226801395416,
-0.10039015114307404,
0.18813523650169373,... |
Teacher: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)
Teacher: Now, understand the problem? Solve this instance: Passage: Billfish -- The term billfish refers to a grou... | 0 | 6 | NIv2 | task1661_super_glue_classification | zs_opt | [
0.22568383812904358,
-0.1002848893404007,
-1.3045995235443115,
0.15419980883598328,
0.4093373715877533,
-0.3431442975997925,
1.0289804935455322,
0.6992944478988647,
-0.1332206279039383,
0.2911074459552765,
0.2458510398864746,
0.17605823278427124,
-1.0649795532226562,
-0.03544480353593826,
... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Example input: A man is spreading shreded cheese on a pizza.
Example output: Un bărbat pune brânză mărunțită pe o pizza.
Example explanation: In the given translation process, the t... | Autobuz roșu cu alb mergând pe drum. | 3 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.7713538408279419,
0.6584307551383972,
0.5395423173904419,
-0.3238730728626251,
-0.3091970682144165,
0.29383885860443115,
1.1374566555023193,
1.0454158782958984,
0.9017180800437927,
-0.1828336864709854,
-0.4109826385974884,
0.9553290009498596,
0.11974317580461502,
-0.28284329175949097,
... |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | acceptable | 0 | NIv2 | task616_cola_classification | zs_opt | [
-0.17260928452014923,
0.6538205742835999,
0.76838219165802,
-0.6905757784843445,
-0.1565808653831482,
-0.9143531322479248,
0.8992050290107727,
0.03225113824009895,
0.4425182044506073,
-0.04526343569159508,
-1.1414315700531006,
-0.2221217304468155,
-0.49468663334846497,
-0.04911434650421142... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: Fue justo antes del momento de la inauguración del programa Leonardo que finalmente regresé al Met, a Nueva York, a ver mi nuevo dominio.
Output: | Voltei finalmente para o Metropolitan, em Nova Iorque, pouco antes da abertura da exposição de Leonardo, para ver o meu novo domínio. | 2 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.6219836473464966,
0.5159274339675903,
-0.49670493602752686,
-0.36831414699554443,
-0.34493494033813477,
-0.041440390050411224,
-1.3610925674438477,
0.9968540072441101,
0.8958626985549927,
-0.1739301234483719,
0.23134976625442505,
0.2350042164325714,
-0.22838644683361053,
-0.017971374094... |
TASK DEFINITION: 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 rearrange the... | What is used to refract light?
| 8 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.5032500624656677,
0.7757053971290588,
-0.2510109543800354,
-0.23193219304084778,
-0.7834384441375732,
-0.24412687122821808,
1.105544090270996,
0.4810338318347931,
0.5291234254837036,
-0.2363867610692978,
-1.0410786867141724,
-0.04217551276087761,
-0.4155285656452179,
0.30236124992370605,... |
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun ph... | Measles exposure can lead to bowel disease - study .
| 7 | NIv2 | task610_conllpp_ner | fs_opt | [
-0.19221052527427673,
0.5144607424736023,
-0.05005833879113197,
-0.10321177542209625,
-0.0031566752586513758,
-0.3606112599372864,
0.18597576022148132,
0.5397567749023438,
-0.2691970467567444,
-0.3628073036670685,
-0.9228023886680603,
0.37203919887542725,
-0.2426569163799286,
-0.2849711179... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | Output: I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN
| 2 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.3554374873638153,
0.5306742787361145,
-0.5868839025497437,
0.1607988476753235,
0.030602790415287018,
-0.022949762642383575,
0.03915154188871384,
0.4225398898124695,
-0.17970731854438782,
-0.0945802703499794,
-0.8220680356025696,
-0.03891541808843613,
-0.5451508164405823,
-0.2245596945285... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provide... | I realized that my friend texted me and replied immediately. | 6 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.48660778999328613,
0.3732975125312805,
-0.31130024790763855,
0.5450437068939209,
0.27726903557777405,
-0.9383629560470581,
0.259204626083374,
0.8797178268432617,
-0.2311524748802185,
-0.3109949231147766,
-0.6973186731338501,
-0.154066801071167,
-0.5697728395462036,
-0.16569383442401886,
... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Example input: But Eluned Morgan conceded that it would be "difficult for us to stop" from a legal point of view. Her comments were criticised by a L... | Welfare funding stopped by at least 20 English councils | 3 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.6404496431350708,
1.219910740852356,
0.26349008083343506,
-0.7163071632385254,
0.6446269750595093,
-0.47346222400665283,
0.6993569731712341,
1.169785976409912,
-0.24610641598701477,
0.15560565888881683,
0.30670177936553955,
0.880064070224762,
-0.5013130903244019,
0.508538007736206,
-0.... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Problem:چون در آنجا دیگر کسی نمیتوانست آن خشم و رنجشی را که سر مگ را به درد میآورد و همچنین قطرات اشکی را که گونههای برافروختهاش را خنک مینمود ببیند.
Solution: | where she could think and wonder and fume till her head ached and her hot cheeks were cooled by a few natural tears. | 8 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.44773727655410767,
0.4045063257217407,
-0.08433838188648224,
-0.9005857110023499,
-0.39174556732177734,
-0.6945937275886536,
0.5295116901397705,
0.2982131838798523,
0.067266546189785,
-0.3934566378593445,
-0.0023204609751701355,
-0.11804541945457458,
-0.04216062277555466,
0.293016821146... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['m', 'p', 'Z', 'n', '4'], ['m', 'p', 'Z', 'n', 'W'], ['m', 'p', 'Z', '4', 'W'], ['m', 'p', 'n', '4', 'W'], ['m', 'Z', 'n', '4', 'W'], ['p', 'Z', 'n', '4', 'W']] | 4 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.15572556853294373,
0.5850021243095398,
-0.20718425512313843,
0.08072282373905182,
0.5588287115097046,
-0.14735135436058044,
0.8528200387954712,
0.06565548479557037,
0.09123237431049347,
0.20087870955467224,
-0.292143851518631,
0.5404753684997559,
-0.025206800550222397,
-0.52698546648025... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'fir... | [{'first': -79, 'second': -88}, {'first': -16, 'second': 41}, {'first': 53, 'second': -28}, {'first': 81, 'second': -2}] | 1 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.18327835202217102,
0.0980408564209938,
-0.22121411561965942,
-0.04552004858851433,
0.6165721416473389,
0.16212216019630432,
0.3776184320449829,
0.35276973247528076,
0.28104889392852783,
-0.11159948259592056,
-0.6631984710693359,
-0.7198929786682129,
-0.5022978782653809,
-0.3057302534580... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Q: (خنده) وقتی من این را شنیدم با خودم گفتم این خیلی عجیبه این دقیقا عین فرآیند خلاقیت من است. (خنده)
A: | (Risate) Così quando lo sentii pensai — è pazzesco, è esattamente uguale al mio processo creativo. (Risate) | 4 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-1.1874113082885742,
1.1368296146392822,
-0.15148493647575378,
0.2417340725660324,
-0.6948826313018799,
-0.2892608344554901,
0.1443575918674469,
0.3493174612522125,
0.816555917263031,
-0.47015953063964844,
-1.1402256488800049,
0.09990938007831573,
-0.1501682996749878,
0.37114691734313965,
... |
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: Almost no young people today know who the cartoon character Oswald the Rabbit is, but they certainly recognize his successor, Bugs Bunny. Oswald, Bugs, and hundreds of other ... | What is one of the chief differences between animation today and in Walt Disney's early years? | 4 | NIv2 | task311_race_question_generation | zs_opt | [
-0.24932634830474854,
0.6508201956748962,
-0.2778700590133667,
0.3022722005844116,
0.09193143248558044,
0.020950689911842346,
0.3308261036872864,
0.5223252177238464,
0.2207832932472229,
0.09523973613977432,
0.09406284242868423,
0.19710057973861694,
-0.41815322637557983,
0.07271675020456314... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
One example: passage: Franchising is a way for small business owners to benefit from the economies of scale of the big corporation (franchiser). McDonald's and Subw... | No | 6 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
-0.0948832705616951,
0.8497013449668884,
0.11197689175605774,
-0.06628268212080002,
0.01546683069318533,
0.5286274552345276,
0.7402427196502686,
0.804368793964386,
0.4382307827472687,
-0.12797218561172485,
-0.4420270621776581,
-0.12797847390174866,
-0.24575237929821014,
0.04334816336631775... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you need to 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 c... | PRT | 0 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.6159317493438721,
-0.08740595728158951,
-0.2796674072742462,
0.19844651222229004,
-0.07331807911396027,
-0.3241218626499176,
0.726852297782898,
0.5392848253250122,
-0.5499180555343628,
-0.10216167569160461,
-0.48744451999664307,
0.20560777187347412,
-0.4014514684677124,
0.492238998413085... |
Teacher:In this task, you need to Translate Czech text to English.
Teacher: Now, understand the problem? Solve this instance: Řešení se týká způsobu řízení rozváděcího ústrojí s hydraulickými logickými prvky a zařízení pro provádění tohoto způsobu. Podstatou způsobu je, že tlak na řídicím vstupu alespoň jednoho hyd... | The present invention relates to a method of controlling a switchgear hydraulic logic elements and apparatus for performing the method. The essence of the way is that the pressure on control input of at least one hydraulic the logic element is controlled by the fence the outflow of the rectified portion of the pr... | 6 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.1244879737496376,
-0.0071992226876318455,
-0.02648068778216839,
0.216575026512146,
0.34899526834487915,
-0.25376349687576294,
-0.19051878154277802,
1.1776113510131836,
0.4568249583244324,
0.7371924519538879,
-0.31189224123954773,
-0.14757440984249115,
0.2884634733200073,
0.0355594530701... |
Detailed Instructions: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Problem:Tweet: @anonymized_account Wpisz sobie w google \"żart\" i sprawdź, co to jest ;) , Question: Does the tweet contain cyberbullying (harmful) content?
Solution: | No | 8 | NIv2 | task839_cdt_classification | zs_opt | [
-1.3486814498901367,
1.3683428764343262,
0.4908103942871094,
0.46041280031204224,
-0.6588114500045776,
-0.674294114112854,
0.8631684184074402,
-0.6487542390823364,
-0.0013910746201872826,
0.26456335186958313,
-0.11528536677360535,
0.10330213606357574,
-0.9294161796569824,
-0.45641499757766... |
Given the task definition and input, reply with output. Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
She sprays the sink with a cleaner.
| She turns on the faucet and wets the sink. | 5 | NIv2 | task455_swag_context_generation | zs_opt | [
-0.5184811353683472,
1.4795626401901245,
-0.6190780401229858,
0.11365436017513275,
-0.00833013467490673,
-0.4277910590171814,
-0.5302433371543884,
0.43594515323638916,
0.44327157735824585,
0.46230077743530273,
0.30769526958465576,
0.5258861184120178,
-0.418285071849823,
-0.0878757834434509... |
You will be given a definition of a task first, then some input of the task.
Indicate a noun phrase from given statement which mentions a pronoun.
frank was upset with tom because the toaster he had sold him didn't work.
Output: | he had sold | 1 | NIv2 | task647_answer_generation | zs_opt | [
0.3673285245895386,
0.47773730754852295,
0.20849868655204773,
-0.17927759885787964,
0.2578697204589844,
0.5226109027862549,
0.048528045415878296,
0.5698910355567932,
0.37734031677246094,
0.5048689246177673,
-0.018959373235702515,
0.38702392578125,
-0.5434209108352661,
-0.25885745882987976,... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Let me give you an example: English sentence: Lionel Messi is the greatest football player of all time
The answer to this example can be: Lionel Messi waa ciyaaryahanka ugu weyn kubadda c... | 15 Markay karaahiyada sameeyeen miyey xishoodeen? Maya, innaba ma ay xishoon, ceebna ma garan, sidaas daraaddeed waxay la dhici doonaan kuwa dhacaya. Oo Rabbigu wuxuu leeyahay, Wakhtigii aan iyaga soo ciqaabo ayay hoos u dhici doonaan. | 8 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
0.15341545641422272,
0.5239568948745728,
-0.38488051295280457,
-0.31255218386650085,
-0.01118208933621645,
-0.9006818532943726,
-0.02762923389673233,
-0.0804462879896164,
0.8501721620559692,
-0.186916783452034,
-0.04341583326458931,
1.350609302520752,
-1.054661512374878,
-0.042622514069080... |
Definition: Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no cl... | Neutral | 2 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
-0.1963830292224884,
-0.5688649415969849,
0.040365591645240784,
0.6535149812698364,
0.5609593391418457,
0.2892897129058838,
1.02754807472229,
0.6464982032775879,
0.4829866886138916,
0.49455398321151733,
0.4131571054458618,
0.5381593704223633,
-0.4185284972190857,
-0.19546440243721008,
-0... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 52314
| 3 | NIv2 | task300_storycloze_order_generation | fs_opt | [
0.3178519606590271,
0.34647947549819946,
-0.7978706359863281,
-0.4832763671875,
0.18266744911670685,
-0.2817288637161255,
0.31512442231178284,
1.1036498546600342,
-0.5214599370956421,
-0.31501859426498413,
-0.9535902738571167,
-0.013835245743393898,
-0.7479248642921448,
0.1694747358560562,... |
Detailed Instructions: Given a sentence in Italian, generate a new Italian 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 reasona... | È probabile che troverete un melo intorno al frutteto. | 8 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.2772541046142578,
0.7907395362854004,
-0.3836165964603424,
-0.06249022111296654,
-0.5823827981948853,
-0.43164077401161194,
0.6130247712135315,
1.116903305053711,
-0.02903270162642002,
-0.6275903582572937,
-0.8152515292167664,
0.4842607378959656,
-0.45471152663230896,
0.3969616293907165... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | Output: ¿Cómo definió David Frost a The Beatles?
| 2 | NIv2 | task1335_sqac_question_generation | fs_opt | [
1.4114165306091309,
0.20555366575717926,
-0.7503964304924011,
-0.1092645674943924,
0.455364465713501,
-0.3751782178878784,
0.7613120675086975,
0.8488786816596985,
-0.3007846474647522,
0.5570759177207947,
0.09850858151912689,
0.5805614590644836,
-0.4164712429046631,
0.0285835862159729,
-0... |
Detailed Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in... | 1, 2, 3, 4, 8, 12, 14, 17, 19, 22, 23, 25, 33 | 9 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
0.0010165958665311337,
0.6462214589118958,
-0.2694668173789978,
-0.47693097591400146,
0.31942275166511536,
-0.3639339208602905,
1.0451791286468506,
-0.25086450576782227,
0.0019562372472137213,
0.3878454566001892,
-0.16726529598236084,
0.06388966739177704,
0.21454620361328125,
0.11991181969... |
Detailed Instructions: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid res... | No. | 8 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.41102826595306396,
0.3433105945587158,
-0.1327575296163559,
0.6018306016921997,
-0.9067414999008179,
-1.1223536729812622,
0.4622421860694885,
0.8733389377593994,
0.2618961036205292,
-0.3192511200904846,
0.04706299304962158,
-0.006865374743938446,
-0.6905730962753296,
-0.2090090662240982... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Let me give you an example: Agora, está ao lado, ou na miña casa.
The answer to this example can be: Now, it's next door, or in my house.
Here is why: The Galician sentence is correctly translated into English. `casa` is... | Because our acquisition of social learning would create a social and evolutionary dilemma, the resolution of which, it's fair to say, would determine not only the future course of our psychology, but the future course of the entire world. | 8 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.9517642259597778,
0.8662928938865662,
-0.0443151593208313,
-0.7859362959861755,
-0.17046520113945007,
-1.070913553237915,
0.504720151424408,
0.691043496131897,
0.12485631555318832,
-0.07967483997344971,
-0.2536209225654602,
0.651125967502594,
-1.4578053951263428,
-0.015792887657880783,
... |
This task is about translating a given Spanish language sentence to English.
[EX Q]: Gracias por visitar el Expositor de Campeones de Ashe.
[EX A]: Thanks for tuning into the Ashe Champion Spotlight.
[EX Q]: Como las manzanas y las naranjas sexies.
[EX A]: It's like apples and sexy oranges.
[EX Q]: Tenemos que pensa... | We have to think about it."
| 6 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.301311731338501,
-0.09604757279157639,
0.18210285902023315,
-0.5166497230529785,
-0.23680713772773743,
-1.1886122226715088,
0.19690223038196564,
0.05543955788016319,
0.06473663449287415,
-0.7891907691955566,
0.0682549998164177,
0.34970295429229736,
-0.7224606275558472,
-0.26635423302650... |
Q: 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.
Passage: Phillip Bellamy, a leading barrister, tells his wife, psychiatrist An... | the passenger. | 7 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.4252474308013916,
0.14637716114521027,
-0.21504518389701843,
0.4417878985404968,
-0.1303328275680542,
-0.6346496343612671,
0.8547054529190063,
0.14038996398448944,
0.4367935359477997,
0.10671009123325348,
-1.204026699066162,
1.1752408742904663,
-0.13353730738162994,
0.4215131402015686,
... |
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
[Q]: Opaque is the term for matter that does not let any light pass through.
[A]: What is the term for matter that does not let any light pass through?
[Q]: Lead sulfate is the white solid that forms on ... | Alkenes with the same atoms but different shapes are called what?
| 5 | NIv2 | task1552_scitail_question_generation | fs_opt | [
0.11045867204666138,
1.5300920009613037,
0.006772030610591173,
-1.1330039501190186,
-0.2717951834201813,
-0.3656518757343292,
0.37134024500846863,
1.0968427658081055,
-0.16120722889900208,
0.05243410915136337,
-0.09953562915325165,
0.06051270291209221,
-0.29279667139053345,
-0.219562113285... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Sigue siendo una aventura fabulosa. | Jednocześnie pozostając wspaniałą przygodą. | 0 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.5220398902893066,
1.1533277034759521,
-0.26186925172805786,
-0.29195794463157654,
-0.0874243751168251,
-0.14615118503570557,
0.7015517950057983,
-0.9177079200744629,
0.10126437991857529,
-0.610107958316803,
-0.17587363719940186,
-0.286641001701355,
-0.11342539638280869,
0.41643762588500... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Na całym świecie wszyscy zdradzający mówią mi to samo. | Now, all over the world, there is one word that people who have affairs always tell me. | 0 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.3426913917064667,
1.2746961116790771,
-0.3222775459289551,
-0.31292229890823364,
-0.22972136735916138,
-0.7506193518638611,
0.2746075391769409,
-1.2534641027450562,
0.18393757939338684,
-0.6122276782989502,
-0.4147482216358185,
0.266988605260849,
-0.748505175113678,
0.3107887804508209,
... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | AGE | 6 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.3228098154067993,
0.54646897315979,
-0.5130950808525085,
0.11951422691345215,
-0.0658828616142273,
-0.19730998575687408,
0.7241306304931641,
0.6406102776527405,
0.046493757516145706,
-0.03452662006020546,
-0.6334338188171387,
0.1644754707813263,
-0.26213574409484863,
0.0455358624458313,... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
--------
Question: [-728, -253, 844, -526, -227, -295, 205, 160, -36, 205, -893]
Answer: [-730, -250, 840, -530, -230, -300, 200, 160, -40, 2... | [480, 840, 190, 740, -40, 190]
| 7 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-1.1599855422973633,
0.6466974020004272,
-0.2938835024833679,
0.008263783529400826,
-0.31799599528312683,
-0.17216771841049194,
0.7497677803039551,
-0.1368042230606079,
-0.6450920104980469,
0.03738964721560478,
-0.9628427028656006,
0.034376777708530426,
-0.9766292572021484,
0.2931742668151... |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Example Input: He reaches for it, but his arm has turned to damp sand. He
Example Output: swims towards the bluffs.
Example Input: They are also shown jamming out in a session with sever... | opens, totally appalled.
| 3 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
0.2282673716545105,
1.1061341762542725,
-0.6374897360801697,
-0.09713847935199738,
-0.3243371546268463,
0.09532663226127625,
-0.036761969327926636,
0.13209302723407745,
-0.5156434774398804,
0.13769139349460602,
0.2102496325969696,
0.3966006636619568,
-0.46851205825805664,
-0.66218072175979... |
Detailed Instructions: 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:Michael snuck a woman something
Solution: | Michael snuck something to a woman | 8 | NIv2 | task132_dais_text_modification | zs_opt | [
-0.8528940081596375,
1.1215441226959229,
0.3496962785720825,
-0.33545586466789246,
0.3724250793457031,
0.27739137411117554,
-0.04740398749709129,
0.29012686014175415,
0.7377475500106812,
-0.1738194227218628,
-0.5020146369934082,
-0.6169331669807434,
-0.522369384765625,
-0.1020968034863472,... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | Hannah's purse is strong >Causes/Enables> Hannah doesn't lose money | 4 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
-0.09629075974225998,
0.5715376138687134,
-0.014650934375822544,
0.018987860530614853,
-0.17922775447368622,
-0.6849675178527832,
0.513257622718811,
1.4580562114715576,
0.06645680218935013,
-0.21391654014587402,
-0.17173656821250916,
-0.03413579612970352,
-0.3122941255569458,
-0.2055132985... |
Teacher:You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and completely. In ... | C. | 6 | NIv2 | task058_multirc_question_answering | zs_opt | [
0.5585193634033203,
0.5659706592559814,
-0.3149639666080475,
0.37064996361732483,
-0.22632475197315216,
-0.5011609792709351,
0.738204836845398,
0.8231845498085022,
-0.1549987494945526,
-0.031619682908058167,
0.03367612510919571,
-0.06952393800020218,
-0.5465595722198486,
-0.534048914909362... |
Given the task definition and input, reply with output. Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
यह तब कहना जब तुम यहाँ ब्रूक्स जितना लंबा समय रह जाओगे.
| Say that when you've been here as long as Brooks has. | 5 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
-0.22776159644126892,
1.1070531606674194,
0.4257834553718567,
0.16207970678806305,
-0.36446452140808105,
-0.9464032649993896,
0.2371198832988739,
-0.6294060349464417,
0.6188112497329712,
-0.4603722095489502,
0.017413921654224396,
0.8716912269592285,
-0.3863278031349182,
0.5761252045631409,... |
Given the task definition and input, reply with output. You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: #DerekJeter as a lifelong ... | true | 5 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.1256238222122192,
0.16088372468948364,
0.5058164596557617,
0.8918083906173706,
-0.2913549840450287,
-1.1672611236572266,
0.23063787817955017,
0.3704654574394226,
0.7262853384017944,
0.11051905155181885,
-0.18050549924373627,
-0.36180639266967773,
-0.7952202558517456,
-0.0488872751593589... |
Given the task definition and input, reply with output. In this task, you are given a sentence in Persian, and your task is to translate it into English.
لیاقت من هم این بود شایسته بود که با پدر و مادرم بمیرم
| i deserved to die with my parents | 5 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.1350802630186081,
0.8669940233230591,
0.4504520297050476,
-0.39093491435050964,
-0.744358241558075,
0.20693722367286682,
0.6271907091140747,
0.24648430943489075,
0.5456780195236206,
-0.34927523136138916,
-0.3344554901123047,
0.8730613589286804,
-1.1514310836791992,
0.2784649133682251,
... |
Q: In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
Sentence: Deep roots will best prevent a tree from being blown over by high winds during a storm. Question: Which of the following characteristics will best prevent a tree from ... | deep roots | 7 | NIv2 | task1555_scitail_answer_generation | zs_opt | [
-0.21997353434562683,
1.0184454917907715,
-0.4679563343524933,
-0.6121296882629395,
-0.5725656747817993,
-1.506209373474121,
0.4665869474411011,
0.5311597585678101,
-0.23296193778514862,
-0.33813998103141785,
-0.46341973543167114,
-0.17397768795490265,
-0.8907893896102905,
0.50910907983779... |
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.
Q: [-40.416, -24.51, 13.2... | 108.445 | 9 | NIv2 | task094_conala_calculate_mean | zs_opt | [
-0.45141521096229553,
0.49282756447792053,
-1.2144666910171509,
-1.4661979675292969,
0.1569305807352066,
0.25285065174102783,
0.773388147354126,
-0.17156383395195007,
-0.34330785274505615,
0.11372079700231552,
-1.0503606796264648,
1.047255039215088,
-0.7120386958122253,
0.13442516326904297... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: and now how queer it was, this couple she had asked the way of, and the girl started and jerked her hand, and the man he seemed awfully odd;
A: و حالا چه عجیب بود، این زوجی که نشانی را از آنها پرسیده بود و دختر که یک... | عالیجناب، مرا سرگرم میکرد؛ شما بیش از حد آن را به دل گرفتید،
****
| 4 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
-0.5849899053573608,
1.1277225017547607,
-0.05546394735574722,
-0.11680088192224503,
-0.5364171266555786,
-0.5602289438247681,
0.4162907898426056,
0.3685346841812134,
0.6917071342468262,
-0.2645031213760376,
-0.7329643964767456,
0.6000438928604126,
-0.6935815811157227,
-0.35213059186935425... |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
['f', '87', '301', '337', 'z', 'r', 'k', 'p'] | 0, 1, 3, 7, 8 | 0 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.38125526905059814,
0.01634197309613228,
-0.35964709520339966,
-0.38608312606811523,
-0.0346270352602005,
0.7325902581214905,
1.716989278793335,
-0.3242391049861908,
-0.4468883275985718,
0.3888911306858063,
-0.7102655172348022,
-0.3469522297382355,
-1.0413028001785278,
-0.120800763368606... |
You will be given a definition of a task first, then some input of the task.
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 lengt... | No | 1 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.22942191362380981,
0.7844265103340149,
0.3833480179309845,
0.6352367401123047,
0.0076446691527962685,
-0.792336106300354,
0.24733437597751617,
0.7593827247619629,
-0.15078628063201904,
-0.10439889132976532,
-0.2692790925502777,
-0.1766977608203888,
-0.013230158016085625,
-0.427698314189... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | original network
| 3 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.47590821981430054,
0.07288943231105804,
-0.2512073516845703,
0.08851270377635956,
0.03730776160955429,
0.6680753231048584,
0.15661194920539856,
0.2854139804840088,
-0.009332309477031231,
0.3057144284248352,
-0.32357120513916016,
0.5852891206741333,
-0.3919547498226166,
-0.724692702293396... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Let me give you an example: 7
The answer to this example can be: Yes
Here is why: 7 is a prime number as it has no fa... | No | 8 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.30565834045410156,
1.2794370651245117,
0.10726325213909149,
0.15583910048007965,
-0.11377369612455368,
-0.5558954477310181,
0.7988654971122742,
0.921288251876831,
0.4367179870605469,
-0.32665619254112244,
-0.428114116191864,
0.12509404122829437,
-0.6203353404998779,
-0.01217021048069000... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | World | 9 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.6279740929603577,
1.1261610984802246,
-0.22950032353401184,
0.6747451424598694,
-0.08553456515073776,
-0.5065056085586548,
-0.42636337876319885,
0.18793612718582153,
-0.447868674993515,
0.041987501084804535,
-0.4374246895313263,
0.7140607237815857,
0.09451547265052795,
-0.12871915102005... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: Where was this film when I was a kid? After his parents split up Tadashi moves with his mom to live his his grandfather. Tadashi's sister stays with their... | positive | 4 | NIv2 | task284_imdb_classification | zs_opt | [
0.3354463577270508,
-0.16247791051864624,
-0.6508991122245789,
0.023097626864910126,
0.16096524894237518,
0.21075361967086792,
1.2434911727905273,
1.061527132987976,
-0.29868000745773315,
-0.2878894805908203,
-0.47938665747642517,
0.46841493248939514,
-0.6256574988365173,
0.461316496133804... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Its jurisdiction included regulations for the police , public safety , criminal punishment and ... | उसकी आधिकारिता में पुलिस , लोक सुरक्षा , आपराधिक दंड तथा साधारण और गंभीर दोनों प्रकार के अपराधों के लिए कार्रवाऋ करना शामिल था । | 6 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
-0.08438979089260101,
-0.1041942909359932,
0.4994366765022278,
-0.1716257780790329,
0.32650530338287354,
-1.0244101285934448,
-0.3717682361602783,
0.14134815335273743,
-0.25461435317993164,
-0.5854048728942871,
-0.6226078867912292,
-0.041779011487960815,
-0.42510461807250977,
0.29825767874... |
Teacher: In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find it... | c | 2 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.2120361030101776,
-0.4418776333332062,
-0.03993315249681473,
-0.43791934847831726,
-0.4106917977333069,
0.035568058490753174,
0.22653496265411377,
0.7265471816062927,
-0.14232990145683289,
0.08196835219860077,
-0.839450478553772,
-0.059728898108005524,
0.05594237148761749,
-0.29027536511... |
Definition: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Input: Who played the medic in band of brothers?
Output: | Who played the medic Eugene "Doc" Roe in band of brothers? | 2 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.050878845155239105,
0.5194891691207886,
-0.591986894607544,
-0.4263937175273895,
0.10897139459848404,
0.17077842354774475,
0.8108593225479126,
-0.17781953513622284,
0.36880460381507874,
-0.31722068786621094,
-0.9635586738586426,
-0.171732097864151,
-0.49999338388442993,
-0.0603245012462... |
Definition: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Input: Gujarati: શહેરમાં લોકો ટ્રાફિકની સામે ક્રોસ કરે છે.
English: People ... | Yes | 2 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-0.7527059316635132,
0.3531438708305359,
0.47885167598724365,
0.0877755880355835,
0.48902463912963867,
-0.4776690602302551,
0.07379572093486786,
-0.24742025136947632,
-0.16527774930000305,
-0.500663161277771,
-0.8761826753616333,
0.012861080467700958,
-0.7127821445465088,
0.425339460372924... |
Q: A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
బహ్రెయిన్ నేశనల్ స్పేస్ ఏజెన్సీ (ఎన్ ఎస్ఎస్ఎ) అధిపతి, బహ్రెయిన్ ట్రాన్స్పోర్టేశన్, టెలికమ్యూనికేశన్ మంత్రి అంతరిక్ష రంగం లో ఇస్రో తో పరస్పర స... | بحرین نیشنل اسپیس سائنس ایجنسی (این ایس ایس اے) کے سربراہ اور بحرین کے نقل حمل اور ٹیلی مواصلات کے وزیر نے اپریل 2018 میں بھارتی سفیر کے ساتھ بات چیت کرکے خلائی تعاون پروگرام میں دلچسپی ظاہر کی۔ | 7 | NIv2 | task1037_pib_translation_telugu_urdu | zs_opt | [
-0.19082364439964294,
0.848770022392273,
0.5272768139839172,
-0.3018069863319397,
0.09622698277235031,
-0.12500151991844177,
0.46817532181739807,
-0.5589697360992432,
-0.32938671112060547,
0.31110695004463196,
0.3665963411331177,
-0.23990830779075623,
0.47218215465545654,
0.085207849740982... |
Given the task definition and input, reply with output. 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 inst... | None | 5 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.5476473569869995,
0.5953340530395508,
0.044704969972372055,
-0.029926417395472527,
-0.25752580165863037,
-0.08273840695619583,
1.4459781646728516,
0.03454868495464325,
-0.1625816822052002,
-0.5314716100692749,
-0.631208598613739,
0.501866340637207,
-0.13955801725387573,
0.22533100843429... |
Given the task definition, example input & output, solve the new input case.
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 ... | run opposite right thrice after jump left thrice | 1 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.11610463261604309,
0.5260869264602661,
-0.4768826961517334,
0.42171400785446167,
0.08210496604442596,
0.15267810225486755,
0.2981290817260742,
0.840244472026825,
-0.3172956109046936,
-0.04036376252770424,
-0.9533902406692505,
-0.32260966300964355,
-0.569270133972168,
-0.2730129361152649,... |
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Passage: "The ... | wrote | 0 | NIv2 | task390_torque_text_span_selection | zs_opt | [
-0.08696559071540833,
0.5425699353218079,
0.07724907994270325,
-0.1335003525018692,
-0.21158839762210846,
-0.015787135809659958,
0.923907995223999,
0.07335858047008514,
-0.19945217669010162,
0.38830071687698364,
0.22131973505020142,
0.8157429695129395,
-1.1063895225524902,
0.64283740520477... |
instruction:
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using wor... | no
| 9 | NIv2 | task115_help_advice_classification | fs_opt | [
0.0039038623217493296,
0.3034265637397766,
0.18983663618564606,
-0.22550363838672638,
0.014292268082499504,
-1.3011367321014404,
0.6843630075454712,
0.6466455459594727,
0.09010784327983856,
0.13004520535469055,
-0.4640207290649414,
-0.7097995281219482,
-0.6027968525886536,
-0.0417768284678... |
Detailed Instructions: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its re... | cXxMafnotmUC, EcafnotlA | 9 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.2454996109008789,
0.7734229564666748,
-0.4196050763130188,
-0.15046922862529755,
0.06755667179822922,
-0.4154941439628601,
0.4806722104549408,
-0.3851531744003296,
0.18358689546585083,
-0.059580132365226746,
-0.7491580247879028,
-0.4754505753517151,
0.07407190650701523,
0.044915415346622... |
instruction:
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 ... | police punishment
| 9 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.4125700294971466,
-0.0037882961332798004,
-0.7478861808776855,
-0.10588861256837845,
-0.022593382745981216,
-0.5363858938217163,
-0.07660020142793655,
0.6186535358428955,
0.13100790977478027,
-0.14511290192604065,
-0.22847384214401245,
-0.06995269656181335,
-0.027416596189141273,
-0.2555... |
Teacher:In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Teacher: Now, understand the problem? Solve this instance: Military Voters' Equal Access to Voter ... | A bill to amend the National Voter Registration Act of 1993 to provide members of the Armed Forces and their family members equal access to voter registration assistance, and for other purposes. | 6 | NIv2 | task1659_title_generation | zs_opt | [
0.2207963466644287,
-0.06690923869609833,
-0.5382192730903625,
0.6799792051315308,
-0.21109499037265778,
-1.1561610698699951,
1.0472596883773804,
0.6923477649688721,
0.4318377375602722,
0.06747612357139587,
0.6054065227508545,
0.3290371894836426,
-0.3564828038215637,
-0.579799473285675,
... |
Given a sentence in German, generate a new German 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 bei... | Sie können eine Badewanne ziehen, um der Puppe eine Verwendung zu geben. | 8 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.12887197732925415,
0.3785552680492401,
-0.02551111951470375,
0.14802125096321106,
0.1862344592809677,
-1.4700084924697876,
0.4321572184562683,
1.0586339235305786,
0.04106152802705765,
0.09736831486225128,
-0.21251457929611206,
0.139426589012146,
-1.114953637123108,
-0.03579967841506004,... |
Teacher: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 the emotions which are expressed by the Character in the given senten... | happy | 6 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.0907752513885498,
-0.011953829787671566,
0.16024768352508545,
-0.3431471288204193,
0.19884663820266724,
-0.030485093593597412,
0.6354232430458069,
0.8322334289550781,
0.6178644895553589,
-0.1112702488899231,
0.300900399684906,
-0.05596289783716202,
-0.6802284121513367,
0.209185823798179... |
Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given paragrap... | They added a unit any time a new family was made through marriage. | 8 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.5737584829330444,
0.06491464376449585,
-0.6871548891067505,
0.08155723661184311,
-0.0485752671957016,
-0.5759855508804321,
0.256663978099823,
1.1079888343811035,
0.8644896745681763,
0.4986248314380646,
-0.5360012650489807,
0.7877918481826782,
-1.0465970039367676,
-0.3779107332229614,
-... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Q: ['7149', '489', 'a', '7053', '6881', 'C', '5881', 'z', '1267', '5301', 'Z', 'Y', '2053', '705', 'E', '1451', 'I', 'V', 'I', '2219', '6211', 'v', '729', 'A', 'T',... | 7149, 489, 7053, 6881, 5881, 1267, 5301, 2053, 705, 1451, 2219, 6211, 729, 5833, 7741 | 4 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.4689798653125763,
0.7844811081886292,
-0.7234877347946167,
0.26102766394615173,
-0.13222932815551758,
-0.5990039706230164,
0.3326765298843384,
-0.21879149973392487,
-0.10894671082496643,
-0.05054093152284622,
-0.366174578666687,
-0.4887262284755707,
0.2301606833934784,
0.1841638535261154... |
Detailed Instructions: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You... | Steamed rice is much healthier, so PersonX insisted theyorder that instead of fried rice, even though PersonY disliked it. _ was upset to eat the steamed rice when it arrived. | 8 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
1.0349316596984863,
-0.00808121170848608,
-0.22424300014972687,
0.15728096663951874,
0.27194660902023315,
-0.9735389351844788,
1.4742183685302734,
0.6373741030693054,
-0.5091623663902283,
-0.5626784563064575,
-0.10189088433980942,
-0.2762194275856018,
-0.85124671459198,
0.11178834736347198... |
A text is given in Bengali. Translate it from the Bengali language to the English language. The translation must not omit or add information to the original sentence.
Let me give you an example: দরিদ্র, প্রান্তিক এবং দেশের পল্লী অঞ্চলের সেবায় তিনি ছিলেন সংকল্পবদ্ধ, যা আমাদের নিরন্তরভাবে প্রেরণা যুগিয়ে গেছে”।
The ans... | Shri Patel appreciated Cultural performances of various artists during the closing ceremony of the Festival. | 8 | NIv2 | task995_pib_translation_bengali_english | fs_opt | [
-0.7063091397285461,
0.6162896752357483,
0.4170413017272949,
-0.30015236139297485,
0.44897910952568054,
-1.1967062950134277,
0.05153795704245567,
0.056410372257232666,
-0.5075740814208984,
0.614208459854126,
-0.6055128574371338,
0.5606473088264465,
-0.5081161260604858,
-0.15221282839775085... |
This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Example Input: Fact: a candle is a source of light when it is burned. Question: who would see better ... | northern Canada
| 3 | NIv2 | task1400_obqa_incorrect_answer_generation | fs_opt | [
-0.15922266244888306,
0.8697388172149658,
-0.16806477308273315,
-0.16022512316703796,
-0.7800053358078003,
-0.6589977741241455,
0.31666871905326843,
0.5875666737556458,
0.030795518308877945,
-0.07344280183315277,
-0.7947354316711426,
-0.13810944557189941,
-0.46060627698898315,
-0.340947508... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | The Punter is a average priced Japanese coffee shop located near to Café Sicilia. Although not child friendly it is highly rated. | 0 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.7177449464797974,
0.3516990542411804,
-0.7124483585357666,
-0.5510664582252502,
-0.30388522148132324,
0.4679764211177826,
0.9809983968734741,
0.3292512893676758,
0.08658486604690552,
-0.4723333716392517,
-0.42077386379241943,
-0.0930844098329544,
-0.23181293904781342,
-0.401818573474884... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introd... | A group of children at at picnic. | 5 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-0.8130431175231934,
1.0593395233154297,
-0.14532963931560516,
-0.3517235517501831,
-0.3947625160217285,
-0.08916977047920227,
0.3085430860519409,
0.12656527757644653,
0.2623741626739502,
-0.6971560120582581,
-0.7363908290863037,
-0.19683150947093964,
-0.5884988307952881,
-0.01569546572864... |
In this task you are given a passage in Bulgarian as the input content. You are expected to generate a suitable title for the passage which accurately summarizes the contents of the passage. The input is provided in the form of a long passage comprising of multiple sentences. The output should be restricted to a maximu... | Камери уловили предполагаемия организатор на взрива в руското метро | 9 | NIv2 | task1561_clickbait_new_bg_summarization | fs_opt | [
0.8886122703552246,
0.7649386525154114,
-0.9928244948387146,
-0.4442676901817322,
0.2242738902568817,
-0.5743535161018372,
0.9596107602119446,
1.3724522590637207,
0.45143041014671326,
0.028951983898878098,
-0.6741542816162109,
1.4983367919921875,
0.026758253574371338,
-0.09846825897693634,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
--------
Question: أنا لا أتذكر ماذا كانت أولى مساهماتي ضد الفقر لكنني أتذكر أكترها صخبًا.
Answer: من واقعا به خاطر نمی آورم اولین برخورد من با فقر چه بود اما نامطلوب ترین آن را به خاطر می آورم
Question: أعتقد أن سرط... | ماقانون داریم ومااجازه تخلیه غیر مجاز نمی دهیم این برخلاف قانون ماست. لذا مابه این زمان نه ساله خاتمه دادیم تادولت را متقاعدکردیم که تعدادزیادی ازپنگوئن ها به موادنفتی آلوده اند.
| 7 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.43521106243133545,
0.1303994059562683,
-0.13888919353485107,
-1.1130958795547485,
-0.8198375105857849,
-0.315906286239624,
1.3911731243133545,
1.1166170835494995,
0.06005069613456726,
-0.23187929391860962,
-1.1272612810134888,
-0.03665132075548172,
-1.2484221458435059,
-0.08530542254447... |
A text is given in Bengali. Translate it from the Bengali language to the Oriya language. The translation must not omit or add information to the original sentence.
ସଂଯୁକ୍ତ ମନ୍ତ୍ରୀସ୍ତରୀୟ ଆୟୋଗର ବୈଠକ ଚାରି ବର୍ଷ ଅନ୍ତରାଳ ପରେ ସଦ୍ଭାବନା ପୂର୍ଣ୍ଣ ପରିବେଶ ମଧ୍ୟରେ ହୋଇଥିଲା । ଉଭୟ ମନ୍ତ୍ରୀ ବାଣିଜ୍ୟ ଏବଂ ନିବେଶ ବୃଦ୍ଧି କରିବାର ଆବଶ୍ୟକତା ଉପରେ ... | সন্ত কবীরের চিন্তাভাবনা ও শিক্ষাদর্শকে তুলে ধরা হবে এই কেন্দ্রটিতে। পরে, এক জনসমাবেশে ভাষণদানকালে শ্রী মোদী বলেন, তাঁর বহু দিনের একটি বাসনা আজ পূর্ণ হ’ল। | 0 | NIv2 | task998_pib_translation_oriya_bengali | zs_opt | [
-0.46376898884773254,
0.6977099180221558,
-0.6342382431030273,
0.39585161209106445,
0.20565518736839294,
-0.07862260192632675,
0.0055977413430809975,
0.22124570608139038,
-0.31902575492858887,
-0.13327255845069885,
-0.3351007401943207,
-0.470214307308197,
0.011649874970316887,
0.3966040611... |
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
[EX Q]: <a href="http://www.amazon.com/gp/product/B001GCVLXG">Walkers Shortbread Highlander Shortbread Portion Pack, 1.4 Ounce ... | False
| 6 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
0.019327152520418167,
-0.8134692907333374,
-0.2243858277797699,
0.4185737073421478,
-0.05790497362613678,
-0.41198980808258057,
0.8652235269546509,
0.7228600978851318,
-0.13995134830474854,
-0.2392156720161438,
-0.39320388436317444,
0.250874400138855,
-0.4776342809200287,
-0.46713066101074... |
Teacher: You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be... | He wanted to bake a tart, but made a cake instead, as he lacked ingredients for the _ . | 2 | NIv2 | task031_winogrande_question_generation_object | fs_opt | [
0.7399685382843018,
0.3787720799446106,
0.10049585998058319,
-0.08645708858966827,
0.6448332667350769,
-0.672856330871582,
0.5767903327941895,
1.173706293106079,
-0.5078489780426025,
-0.26369160413742065,
-0.11636558175086975,
0.2516815960407257,
-0.2022961527109146,
-0.041652679443359375,... |
Given a sentence in the English language, translate it into the Nepali language.
Let me give you an example: Text: If the research problem is not clear then review of literature can help focus on the problem.
The answer to this example can be: अथवा शोध समस्याबारे स्पष्ट हुन सकिरहेको छैन भने साहित्यको अवलोकन र पुनराव... | एक वैकल्पिक व्याख्या यो हो कि लगिरहेको हतियारहरूमा तीव्रता टर्की छ जसले शरीरलाई घुमाउन बटार्दै सेट गर्दछ।
| 8 | NIv2 | task1514_flores_translation_entone | fs_opt | [
-0.7617983222007751,
0.5163649916648865,
0.2283545285463333,
-0.4578612446784973,
0.047333814203739166,
-0.6632359027862549,
1.430945873260498,
-0.32063454389572144,
0.05734490975737572,
0.05035784840583801,
-0.08812977373600006,
-0.43639346957206726,
-1.2833995819091797,
0.442489176988601... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
[Q]: Sentence: 'a white towel sits in a large stone bathroom'. Remove all words of length '2' in the given sentence.
[A]: a white towel s... | adult skis standing near a group children with skis
| 5 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.489789754152298,
0.5686554908752441,
-0.7035871744155884,
-0.760490894317627,
0.10295543074607849,
-0.2834004759788513,
-0.6862682700157166,
0.7451401352882385,
0.1099349707365036,
-0.18005827069282532,
-0.2578410804271698,
0.00956646166741848,
-0.4810369908809662,
-0.29531216621398926,
... |
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.
Input: Consider Input: Person1: Let's program your courses , sinc... | Output: 1
| 2 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.02822311408817768,
-0.06963405758142471,
0.615315318107605,
-0.34469854831695557,
0.41734427213668823,
-0.13881376385688782,
0.41007983684539795,
0.3754040002822876,
-0.16447366774082184,
0.06766889989376068,
0.14463087916374207,
-0.45614126324653625,
-0.09260982275009155,
-0.63592040538... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | red_treasure_chest
****
| 4 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
-0.01390303298830986,
-0.030507538467645645,
-0.2405659258365631,
-0.13859573006629944,
-0.32011309266090393,
-0.858116090297699,
-0.1579013615846634,
1.5151517391204834,
-0.08833368122577667,
-0.3631684184074402,
-0.15808001160621643,
0.36685314774513245,
-0.12999951839447021,
0.120410114... |
Definition: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex,... | the feeling i have for you be so true i wish you have the same feeling for me too you like that other girl instead of me which make me live in misery do n't you see i like you and all these thing i've go through they all just be for you so you can like me the way i like you | 2 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.8765580654144287,
0.9826120734214783,
0.2847852110862732,
-0.6167585253715515,
-0.3147538900375366,
-0.771379828453064,
0.8946964144706726,
0.2973746657371521,
0.28022629022598267,
-0.3737983703613281,
-0.6013838648796082,
0.7285622954368591,
-0.8478083610534668,
0.2508079409599304,
0... |
Instructions: The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Input: PersonX runs for the hills
Output: | to escape the situation | 3 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.8193029165267944,
0.8171122074127197,
-0.22318807244300842,
-0.2623863220214844,
-0.5812843441963196,
-0.606946587562561,
0.5752285718917847,
0.5510163307189941,
0.19703342020511627,
-0.6296167373657227,
-0.760087251663208,
-0.15611916780471802,
-0.6712454557418823,
0.3194947838783264,
... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
This kit broke first time I used it , bottom ring snapped , and won’t expand anymore , I haven’t e-mailed the company yet , only happened Friday January 26th 2018 I wouldn’t recommend it at all. | only happened Friday January 26th 2018 I wouldn’t recommend it at all | 0 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
-0.6004031300544739,
0.2842716574668884,
-0.42235204577445984,
-0.18219053745269775,
0.15004631876945496,
-0.9463111162185669,
0.4225537180900574,
0.8762682676315308,
-1.3319180011749268,
0.8694556951522827,
-0.3716290593147278,
0.002625377383083105,
-0.2242993712425232,
-0.466684758663177... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual... | Identity-attack | 4 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
0.03457265347242355,
0.2607029676437378,
0.5633964538574219,
0.3419587016105652,
-0.06684117019176483,
0.04954167827963829,
0.9065214395523071,
0.8418752551078796,
0.4432467818260193,
0.626850962638855,
0.23807260394096375,
-0.23827272653579712,
-0.3661079406738281,
-0.7497130632400513,
... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | Output: 7
| 2 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.6052867770195007,
1.135212779045105,
-0.18277692794799805,
-0.4011736810207367,
0.00642198882997036,
-0.30517271161079407,
1.2588975429534912,
-0.37124887108802795,
0.25471872091293335,
-0.8115494251251221,
-0.1750449389219284,
-0.22547505795955658,
-0.7412679195404053,
-0.24452883005142... |
Detailed Instructions: 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.
Q: यही समझते हुए भारत में Blockchain पर भी National Strategy बनाने के लिए तेजी से काम हो रहा है।
A: | இதனை வலுப்படுத்தும் வகையில், பிளாக் செயின் தொழில்நுட்பத்தை பயன்படுத்துவதற்கான தேசிய உத்தியை வகுப்பதற்கான பணிகளை இந்தியா மேற்கொண்டு வருகிறது. | 9 | NIv2 | task993_pib_translation_hindi_tamil | zs_opt | [
0.3509445786476135,
0.7859814763069153,
0.20262470841407776,
-0.18920797109603882,
-0.2824808657169342,
-0.8947231769561768,
0.5656400918960571,
0.3275219202041626,
-0.31557393074035645,
0.3006795644760132,
-0.023752713575959206,
0.050329335033893585,
-0.16667136549949646,
0.30196070671081... |
Detailed Instructions: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Problem:wrong
Solution: | right | 8 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.4025973677635193,
1.575829029083252,
0.4340379238128662,
-0.28971680998802185,
-0.4662463068962097,
-0.9191750288009644,
-0.43616512417793274,
0.7201986312866211,
0.5357507467269897,
-0.7289516925811768,
-0.9854120016098022,
-0.858911395072937,
-1.4001531600952148,
-0.07156006991863251,
... |
Teacher:Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Teacher: Now, understand the problem? Solve this instance: Problem:... | c | 6 | NIv2 | task1678_mathqa_answer_selection | zs_opt | [
0.26809895038604736,
-0.14771434664726257,
-0.2261752188205719,
0.04477086663246155,
-0.5553286075592041,
0.0012164858635514975,
0.40869468450546265,
0.7113422751426697,
-0.21929827332496643,
-0.11314389854669571,
-0.5670008659362793,
0.18616263568401337,
-0.21835361421108246,
-0.697742938... |
Detailed Instructions: You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An ... | anti-stereotype | 4 | NIv2 | task319_stereoset_classification_profession | fs_opt | [
-0.474149227142334,
0.7312667965888977,
-0.12023505568504333,
0.07648549973964691,
0.07586478441953659,
-0.2329331934452057,
0.4051295816898346,
0.48460161685943604,
0.2703244984149933,
-0.04823746532201767,
-0.1644623875617981,
-0.13124097883701324,
-0.49395525455474854,
-0.24141991138458... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political religious on the top... | religious | 9 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | fs_opt | [
-0.494533896446228,
0.034453652799129486,
0.2172524631023407,
0.3501844108104706,
-0.37863689661026,
-0.22069787979125977,
-0.33811527490615845,
0.17556585371494293,
-0.2769567668437958,
0.0013683338183909655,
-0.1378556489944458,
-0.3937355875968933,
-0.30140167474746704,
-0.5418751239776... |
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