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 |
|---|---|---|---|---|---|---|
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
زنهای دیگر هم آواز میخواندند و برای من و مادرم دعا میکردند.
A: | 他の女性たちも歌い私と母のために祈りました | 7 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.7692410945892334,
0.9243160486221313,
-0.7353401780128479,
-0.19798943400382996,
-0.800969123840332,
0.005837701261043549,
0.5420469045639038,
0.9457484483718872,
0.6961997151374817,
-0.30190610885620117,
-0.7248668670654297,
0.0434415265917778,
-0.4674135446548462,
0.5040102005004883,
... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Location. | 3 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.9567182660102844,
-0.22418755292892456,
-0.14605778455734253,
-0.05579303577542305,
-0.08978790044784546,
-0.7725179195404053,
0.9111078977584839,
0.9087200164794922,
-0.49534133076667786,
-0.04848049581050873,
-0.6029403805732727,
0.3713453412055969,
-0.48947271704673767,
0.212293848395... |
Part 1. Definition
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of th... | ADJ | 7 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.5276341438293457,
0.21379253268241882,
-0.25659531354904175,
0.1655070185661316,
-0.06521636247634888,
-0.2898428440093994,
0.7267603278160095,
0.6353681087493896,
-0.34160956740379333,
-0.047907449305057526,
-0.5211929082870483,
0.39260438084602356,
-0.4290715157985687,
0.35277098417282... |
Q: 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 .
Statement: ಇಂಥ ಮತ್ತೊಂದು ಘಟನೆ ಒಡಿಶಾದ ಬಾಲಸೋರ್ ನಗರದಲ್ಲಿ ಸಂಭವಿಸಿತ್ತು. ಸಾಲಬೇಗ <MASK>ಯಿಂದ ಪುರಿಗೆ ಬಾಲಸೋರ್ ಮೂಲಕ ಬಂದರು ಆ... | ದೆಹಲಿ | 7 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
0.19015583395957947,
0.919094443321228,
-0.2869485020637512,
-0.634655237197876,
-0.40162861347198486,
0.31409430503845215,
0.12400241196155548,
0.3148517906665802,
0.1220279410481453,
-0.14616742730140686,
-0.20451229810714722,
0.616570234298706,
-0.44259458780288696,
-0.09643174707889557... |
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 responses: Yes and No.
[Q... | Yes.
| 5 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.5529611110687256,
0.1365881860256195,
0.024953514337539673,
0.32679277658462524,
-0.4223014712333679,
-1.6181519031524658,
0.19820494949817657,
0.8183562755584717,
-0.21443858742713928,
-0.2820504307746887,
-0.2644137740135193,
0.10122468322515488,
-0.5174238681793213,
0.475721538066864... |
Definition: Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
Input: Abstract: A case of intradural metastasis from endometrial carcinoma to the cauda equina is presented. The clinical presentation and radiographic findings were misleading and suggested a hernia... | Unusual metastasis to the cauda equina: case report. | 2 | NIv2 | task619_ohsumed_abstract_title_generation | zs_opt | [
-0.5989820957183838,
0.5285546183586121,
-0.8687863349914551,
-0.10837620496749878,
-0.18055136501789093,
0.2485818713903427,
-0.32320472598075867,
1.1858131885528564,
1.0535486936569214,
0.21989181637763977,
0.2719568610191345,
0.5950225591659546,
-0.6573162078857422,
0.35782375931739807,... |
Detailed Instructions: This task is to translate a news commentary statement given in German language into Spanish 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.
Q: Manchmal schränkt Science... | La ciencia ficción a veces limita en lugar de ampliar nuestro sentido de lo que es posible. | 9 | NIv2 | task1373_newscomm_translation | zs_opt | [
-1.146496295928955,
0.46245628595352173,
0.45840051770210266,
-0.40099528431892395,
-0.18460944294929504,
-0.4926692247390747,
-0.0032355820294469595,
0.8480565547943115,
0.22690090537071228,
-0.29716432094573975,
-0.3564160466194153,
0.10857506841421127,
-0.6738202571868896,
-0.1669674068... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Q: Болонският процес и мобилността на студентите (
A: | The Bologna Process and student mobility ( | 4 | NIv2 | task271_europarl_translation | zs_opt | [
-0.22146911919116974,
0.7670644521713257,
0.0850609615445137,
-0.18968814611434937,
-0.21078698337078094,
-0.8919810056686401,
-0.36573368310928345,
0.8508390784263611,
0.5734559893608093,
-0.17618033289909363,
0.4197810888290405,
0.40264713764190674,
-0.015475116670131683,
-0.143266648054... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Example Input: ... | Momo Adachi is a former member of the high school swim team. She tans easily and her hair is bleached out; unfortunately, she is stereotyped by her ignorant classmates and is forced to endure rumors about being an easy girl who has had many sexual relationships. Her only friend is Sae, who is actually responsible for s... | 3 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.6355288028717041,
0.15230315923690796,
-0.5206783413887024,
0.15291395783424377,
0.5208773612976074,
-0.42604923248291016,
-0.03774549812078476,
0.9983931183815002,
-0.5644512176513672,
0.023017756640911102,
-0.0724903866648674,
0.598231315612793,
-0.24105359613895416,
0.110104039311409,... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | Output: 16924078
| 2 | NIv2 | task1443_string_to_number | fs_opt | [
-0.7556881308555603,
1.5493215322494507,
-0.6263487339019775,
-1.11614990234375,
-0.2946864068508148,
-0.0931900292634964,
0.5946609973907471,
0.10621719062328339,
0.08130210638046265,
-0.2616501450538635,
-0.9130436182022095,
0.3552631735801697,
-0.7680481672286987,
-0.34228184819221497,
... |
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
burj al arab
In which city is the hotel Burj al-Arab, which markets itself as the world's first seven-star hotel?
amazon
Deluded by a legend, Francisco Orellana and Gonzalo Pizarro departed from Ecuad... | Which poem by Keats and novel by Disraeli both have the same title?
| 0 | NIv2 | task897_freebase_qa_topic_question_generation | fs_opt | [
0.8371613621711731,
0.8036413192749023,
-0.44969311356544495,
-0.07581000030040741,
-0.39002323150634766,
0.3726195693016052,
0.369498610496521,
-0.01716313138604164,
0.37586212158203125,
-0.4192456007003784,
0.09681301563978195,
-0.46949195861816406,
-1.6090104579925537,
-0.06949642300605... |
Teacher:In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Teacher:... | Ralph Crumden and Ned Morton are walking home from the Raccoon Lodge at two oclock in the morning. Ned stops to lasso a cat, but when Ralph grabs the cord, he gets dragged in and pounded by the cat. The cat enters the house next to Ralphs house, finding a chance to grab the mice. The cat puts his mouth against the mous... | 6 | NIv2 | task103_facts2story_long_text_generation | zs_opt | [
0.02255368046462536,
0.42336106300354004,
0.26281145215034485,
0.33962762355804443,
-0.47478020191192627,
-0.5137137174606323,
-0.2747211158275604,
0.12352997064590454,
-0.38813599944114685,
0.008962186053395271,
-0.660310685634613,
-0.368524968624115,
-0.7474783658981323,
-0.3816673159599... |
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... | Non-identity-attack | 9 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.6798991560935974,
0.3583700954914093,
0.5964789390563965,
0.45054036378860474,
-0.5628123879432678,
0.11344514787197113,
1.2727587223052979,
0.3458265960216522,
0.7467905879020691,
0.048846326768398285,
0.33276423811912537,
0.06448477506637573,
-0.4060038924217224,
-0.5039247274398804,
... |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Q: 6, ['V', '8233', '6371', '5185', '2089', 'O', '9855', '4523', 'E', '2693', 'q', 'D', '3389... | 9855, 4523, E, 2693, q, D, 3389, a, n, 8843, f, 3705, 6491, P, 5123, d, y | 9 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.4659379720687866,
0.4390052855014801,
-0.1454700380563736,
-0.771248459815979,
-0.6841983795166016,
-0.0353739857673645,
0.539780855178833,
-0.16712069511413574,
0.05817997455596924,
-0.5339412689208984,
-0.835270345211029,
-0.2048148810863495,
-0.023268118500709534,
-0.19977644085884094... |
Detailed Instructions: 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.
Problem:So I brought my gf here on a date and rented a glock 17 and 1911 with 100 rounds... | POSITIVE | 8 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-1.1230627298355103,
0.3877813518047333,
0.6313465237617493,
-0.22502416372299194,
0.4252004027366638,
-0.7438422441482544,
0.5092134475708008,
0.7458547949790955,
0.8389583826065063,
0.06494525074958801,
-0.15650320053100586,
-0.38803189992904663,
-0.5226878523826599,
-0.08117643743753433... |
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordi... | True
| 7 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.13582450151443481,
0.24141043424606323,
-0.19106169044971466,
0.1809387505054474,
0.13289405405521393,
-0.8163712024688721,
1.122373342514038,
0.854425311088562,
-0.3443281054496765,
-0.004162811208516359,
-0.26195549964904785,
0.33530062437057495,
0.3895825147628784,
-0.080223448574543,... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Let me give you an example: 2007 में फ़्रांस, पेरिस के पार्क डेस प्रिंसेस मे... | Rainer told Wikinews, "...I am thrilled that RORRIM was picked with so many [screenplays] being selected." | 8 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-0.22916138172149658,
0.6479349136352539,
-0.19984152913093567,
0.587785542011261,
-0.055180810391902924,
-0.6933209300041199,
-0.6088874340057373,
0.4086564779281616,
-0.052347272634506226,
-0.5784367322921753,
-0.5441106557846069,
0.42676103115081787,
0.011052343994379044,
0.411415129899... |
A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
மேம்பட்ட வலுவான கேரளாவுக்காக என் பிரார்த்தனைகளைச் செலுத்துகிறேன். | വികസിതവും ശക്തവുമായ ഒരു കേരളത്തിന് വേണ്ടി ഞാന് പ്രാര്ത്ഥിക്കുന്നു. | 0 | NIv2 | task1000_pib_translation_tamil_malayalam | zs_opt | [
0.2743038535118103,
1.3844279050827026,
-0.3042293190956116,
0.290368914604187,
-0.552431046962738,
-1.1404359340667725,
-0.025678761303424835,
0.0972270518541336,
-0.81980961561203,
-0.1988459825515747,
0.08705311268568039,
-0.6596900820732117,
-1.3542673587799072,
0.7243660092353821,
-... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Input: O que deveria ser o menu?
Output: | מה התפריט צריך להיות? | 2 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
-0.8732714653015137,
0.4581716060638428,
0.10210447758436203,
-0.3382956087589264,
-0.23163695633411407,
0.7983890175819397,
0.4347972273826599,
0.05168944224715233,
0.9947563409805298,
0.15782630443572998,
-0.35823261737823486,
-0.4849446415901184,
-0.7303019165992737,
0.2773689031600952,... |
Detailed Instructions: In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Problem:We beg to conclude with the ex... | English | 8 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.24966195225715637,
0.2490464746952057,
0.47148627042770386,
0.060095466673374176,
0.3698320984840393,
-1.25160813331604,
-0.10558360815048218,
0.07474205642938614,
0.5480082631111145,
-0.5446884632110596,
0.03142444044351578,
0.3533555865287781,
0.5723168849945068,
0.2393144965171814,
... |
TASK DEFINITION: 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... | El Món Perdut
| 8 | NIv2 | task837_viquiquad_answer_generation | fs_opt | [
0.39800065755844116,
0.4615098834037781,
-0.5603348612785339,
-0.1645139753818512,
0.21790899336338043,
-0.03756573423743248,
1.3514153957366943,
0.6914546489715576,
-0.16973936557769775,
0.021254222840070724,
-0.3565787672996521,
0.3789041042327881,
-0.8340207934379578,
0.3807393908500671... |
Given the task definition and input, reply with output. In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from... | How much must the residents of Santa Ana pay to get water? | 5 | NIv2 | task193_duorc_question_generation | zs_opt | [
0.3419274687767029,
-0.03462669253349304,
-0.7641593813896179,
-0.03642381727695465,
0.29647529125213623,
0.18366236984729767,
0.6493124961853027,
1.2044973373413086,
0.15450528264045715,
-0.0015993471024557948,
-0.3476528227329254,
-0.04991551861166954,
-0.5978683233261108,
-0.25083768367... |
Detailed Instructions: Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Problem:The immune system typically recognizes, attacks, and destroys foreign cells or substances that may cause disease.
Solution: | Which body system typically recognizes, attacks, and destroys foreign cells or substances that may cause disease? | 8 | NIv2 | task1552_scitail_question_generation | zs_opt | [
0.2753415107727051,
1.1068170070648193,
0.13823917508125305,
-0.25145554542541504,
-0.1502501368522644,
-1.8068068027496338,
-0.07470842450857162,
0.7538516521453857,
0.4458026885986328,
-0.2175620049238205,
-1.2452213764190674,
0.5611153841018677,
-1.8184245824813843,
-0.31911808252334595... |
Detailed Instructions: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Dete... | NNP | 4 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.8213882446289062,
0.6045385003089905,
-0.5974979400634766,
0.7386765480041504,
-0.06728599220514297,
-0.958856999874115,
0.9701317548751831,
0.6628357172012329,
-0.7118914127349854,
0.05803424119949341,
-0.2442326843738556,
0.3940691351890564,
-0.4873410165309906,
0.27464860677719116,
... |
Part 1. Definition
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a... | Earth 's tilt on its rotating axis causes fall to change to winter. | 7 | NIv2 | task038_qasc_combined_fact | fs_opt | [
-0.38723182678222656,
0.6654965877532959,
-0.6108174920082092,
0.3226690888404846,
-0.5490759015083313,
-1.2715100049972534,
-0.3563971519470215,
0.8730958700180054,
-0.7638156414031982,
0.11695937812328339,
-1.3736250400543213,
0.37404951453208923,
-0.5865494012832642,
0.02455421909689903... |
Instructions: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a ste... | Unrelated | 3 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.39887920022010803,
0.4050371050834656,
-0.4469674825668335,
0.5241658687591553,
0.1209082081913948,
0.14283233880996704,
0.2512579560279846,
0.7832719087600708,
-0.12602825462818146,
-0.19228646159172058,
-0.3230278193950653,
-0.19223640859127045,
-0.6442068815231323,
-0.170560181140899... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Original | 8 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.5264012813568115,
0.9881203174591064,
0.28702235221862793,
-0.6669880747795105,
0.08981962502002716,
-0.6432416439056396,
0.6691857576370239,
0.3995961546897888,
0.5072838068008423,
-0.43661099672317505,
-0.5131022930145264,
0.0027141955215483904,
-1.1889944076538086,
0.1863122433423996... |
A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
Let me give you an example: ఫింగర్ ప్రింట్ బ్యూరోక్స్ డైరక్టర్ల 19 వ అఖిల భారత సదస్సు ప్రారంభోత్సవం సందర్భంగా మత్రి మాట్లాడుతూ జాతీయ నేర రికార్డుల బ్యూరో... | (Amendment) Bill, 2017 to replace the Insolvency and Bankruptcy Code (Amendment) Ordinance, 2017 | 8 | NIv2 | task1048_pib_translation_telugu_english | fs_opt | [
0.3476604223251343,
0.6307564973831177,
-0.25168997049331665,
0.42204204201698303,
-0.1844637542963028,
-1.220198392868042,
-0.020641647279262543,
-0.23832404613494873,
0.3554069995880127,
0.5238746404647827,
0.3873441815376282,
0.4677664637565613,
-0.6311599016189575,
0.5098610520362854,
... |
Detailed Instructions: 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.
Q: System Reference: yes there is the inn at the presidio and in the presidio area that allow... | 0 | 9 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.38249847292900085,
0.43275633454322815,
-0.6284142732620239,
0.4893888533115387,
-0.5199885368347168,
-1.2093677520751953,
0.5728534460067749,
0.4853598177433014,
-0.2422923445701599,
-0.3000819683074951,
-0.1932520866394043,
-0.047250039875507355,
0.14559727907180786,
0.364637583494186... |
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
One example: hNarAik
Solution is here: hNrk
Explanation: The three vowels in the input 'a, 'A', and 'i' are removed.
Now, solve this: esf... | sfQZxN | 6 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.42307597398757935,
0.7383096218109131,
-0.3292401432991028,
-0.7940424680709839,
0.3412454128265381,
-0.5842859745025635,
0.889833927154541,
-0.05812345817685127,
0.06033807247877121,
-0.34199175238609314,
-0.5525716543197632,
-0.34328553080558777,
-0.0238887257874012,
-0.842235505580902... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
Q: নিজেদের স্বার্থ ছাড়া অন্য কিছু যাঁরা বোঝেন না, তাঁরাই এমন সব নেতিবাচক মানসিকতাসম্পন্ন প্রশ্ন ওঠাতে পারেন।
A: | ऐसे अनेक सवाल अपने निजी स्वार्थ के लिए, नकारात्मकता को लेकर चलने वाले लोग, और आज भी नकारात्मकता को जीने वाले लोग मिल जाएंगे। | 9 | NIv2 | task1009_pib_translation_bengali_hindi | zs_opt | [
-0.7892501354217529,
0.15030652284622192,
0.39322686195373535,
0.11969257146120071,
-0.13225768506526947,
-1.2193312644958496,
0.6618249416351318,
-0.20512770116329193,
-0.4791452884674072,
-0.18444877862930298,
-1.2158548831939697,
-0.5276032090187073,
-0.841441810131073,
0.32527673244476... |
Teacher:In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Teacher: Now, understand the problem? Solve this instance: [37, 86, 22... | [49, 64, 31, 68, 38, 105, 80, 168, 77] | 6 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.8499248027801514,
0.028845475986599922,
-0.013596680015325546,
-0.4687047600746155,
-0.7180181741714478,
-0.5363824963569641,
0.7975099086761475,
0.3476789891719818,
0.4214032292366028,
-0.05342865735292435,
0.024838587269186974,
-0.5194476842880249,
-0.4058111608028412,
-0.144164770841... |
Given the task definition and input, reply with output. The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context cont... | No | 5 | NIv2 | task354_casino_classification_negotiation_no_need | zs_opt | [
-0.2766074538230896,
0.4901302456855774,
-0.711132287979126,
0.07933907210826874,
-0.5157264471054077,
-0.7797796130180359,
0.39051246643066406,
0.8072094321250916,
-0.2098837047815323,
-0.15960806608200073,
0.06500790268182755,
0.05861050635576248,
-1.092383623123169,
-0.04571109265089035... |
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 an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence ... | False | 0 | NIv2 | task1589_scifact_classification | fs_opt | [
0.6823024749755859,
0.23299100995063782,
-0.6313784122467041,
0.07829836010932922,
0.2498311996459961,
-0.19548246264457703,
0.6960757970809937,
1.2922132015228271,
0.3149346113204956,
0.4434777498245239,
-1.1617324352264404,
-0.055962543934583664,
-0.7272613048553467,
0.09886205196380615,... |
Teacher: In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Teacher: Now, understand the problem? If you are still confused, see the following example:
Está, sin ... | But we also know that we can only shape the huge challenge of globalisation together as Europeans. | 2 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
0.07062379270792007,
0.7180073857307434,
0.15513135492801666,
-0.2146620750427246,
0.24966765940189362,
-1.3037378787994385,
0.59147047996521,
0.5046510696411133,
-0.26873138546943665,
0.07063208520412445,
0.3530328869819641,
0.6821680665016174,
-0.9571644067764282,
-0.18760916590690613,
... |
Definition: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might ... | weakener | 2 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.23710620403289795,
0.26932328939437866,
-0.08601619303226471,
0.3667020797729492,
0.3036082088947296,
-1.0029881000518799,
0.5954034924507141,
0.8652727603912354,
0.4445935785770416,
-0.13514719903469086,
-1.5640783309936523,
-0.2578098475933075,
-0.5844882130622864,
-0.1299263536930084... |
Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Q: Amateur surfer Charlie Frye is lucky to be alive after punching a shark in the face using a maneuver he ... | Well | 4 | NIv2 | task418_persent_title_generation | zs_opt | [
-0.5844008326530457,
0.5066061019897461,
-0.4286072850227356,
-0.6500462293624878,
-0.06833711266517639,
0.0019767293706536293,
0.5627443194389343,
0.05895362049341202,
0.25323212146759033,
0.09998925030231476,
0.6138366460800171,
0.6509727239608765,
-0.8723119497299194,
0.2091498225927353... |
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... | Solution: She gave the two tickets to her son and husband. | 5 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.7754518985748291,
-0.10699936747550964,
-1.0138752460479736,
0.7937878966331482,
0.48572221398353577,
-1.2218635082244873,
0.15306347608566284,
0.8590940237045288,
-0.10505722463130951,
-0.3131493926048279,
-0.6230502724647522,
0.03096115030348301,
-0.20800305902957916,
-0.12614606320858... |
Detailed Instructions: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. La... | True | 4 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
0.1812233030796051,
0.5068055987358093,
-0.4478619694709778,
0.35331952571868896,
-0.11502520740032196,
-1.0613226890563965,
0.5440801382064819,
0.48734813928604126,
0.13518929481506348,
0.17169338464736938,
-0.5081998109817505,
-0.10595658421516418,
-0.2826324701309204,
0.0340898931026458... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Stereotype | 0 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
0.08255530893802643,
0.28166770935058594,
-0.17338034510612488,
0.10924265533685684,
-0.1310228407382965,
0.29752853512763977,
0.5630093812942505,
0.6409417390823364,
0.3061535954475403,
-0.22900111973285675,
-0.6157858371734619,
0.02774878218770027,
-0.7000753879547119,
-0.200051248073577... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | N | 0 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.2290081977844238,
0.556779146194458,
0.17709562182426453,
-0.5307978391647339,
-0.1775042712688446,
0.4771263599395752,
0.21249182522296906,
0.36599496006965637,
0.13704153895378113,
-0.15294304490089417,
-0.53574138879776,
0.15411396324634552,
-0.5359151363372803,
-0.18281659483909607,... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
[Q]: Tagalog sentence: SUSING TALATA: Sapagka t ang Panginoon ay ating hukom, ang Panginoon ay ating tagapaglagda ng kautusan, ang Panginoon ay ating Hari. (Isaias 33:22)
[A]: KEY VERSE... | The Roman Catholic Church also holds that Peter and the subsequent popes were and are infallible when addressing issues “ex cathedra,” from their position and authority as pope.
| 5 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
-0.30413568019866943,
0.6663968563079834,
0.07717105746269226,
-0.15230408310890198,
-0.0397958979010582,
-1.5301953554153442,
-0.06493893265724182,
0.6927057504653931,
0.07472194731235504,
0.025125589221715927,
-0.23985925316810608,
0.44848862290382385,
-0.6320542097091675,
-0.16312250494... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Q: (A) not initiating further conversation with a girl I was dating after I confessed my feelings and ... | B | 4 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
0.1549907922744751,
0.37029320001602173,
0.5367608070373535,
-0.04824456200003624,
-0.5991626381874084,
-0.6592690348625183,
0.1773923933506012,
0.22012588381767273,
0.04976184293627739,
0.43026286363601685,
0.09738566726446152,
-0.1581069827079773,
0.2288876473903656,
-0.3936616778373718,... |
Definition: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input ... | SIMILAR | 2 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.4637673497200012,
0.06534029543399811,
0.09134180098772049,
0.2036140263080597,
-0.3760792016983032,
0.38845813274383545,
1.2893123626708984,
0.10784385353326797,
0.4106573760509491,
-0.3524739742279053,
-1.1950327157974243,
-0.4053470492362976,
-0.2771955728530884,
0.27074483036994934,... |
Detailed Instructions: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Problem:Sentence... | neutral | 8 | NIv2 | task1554_scitail_classification | zs_opt | [
0.24344810843467712,
0.5688526630401611,
-0.3519992232322693,
-0.31924372911453247,
-0.23145750164985657,
-1.3865814208984375,
0.34714192152023315,
0.7224540114402771,
0.39346420764923096,
-0.5259519219398499,
-0.49180835485458374,
-0.5053273439407349,
0.20862683653831482,
-0.4862248897552... |
instruction:
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.
question:
['3813', 'u', '343', '5295', '5365', 'X', 'a', 'X', 'q', 's']
answer:
3813, 343, 5295, 5365
question:
['8513', 'Z', '1751', 'P', 'I']
answe... | 2307, 6501, 3091, 6537, 3239, 1783, 7787
| 9 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
0.09799455106258392,
0.47229719161987305,
-1.2559597492218018,
-0.46810123324394226,
-0.4154433608055115,
0.009002001024782658,
0.5902169942855835,
-0.4038749635219574,
-0.18914656341075897,
0.6187986135482788,
-0.3614600598812103,
-0.17337706685066223,
0.3922368288040161,
0.29291492700576... |
Detailed Instructions: Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
See one example below:
Problem: Verify if the sentiment of the following document towa... | no | 4 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.7215143442153931,
-0.332287073135376,
-0.08283938467502594,
0.5706589818000793,
0.5796037912368774,
-0.4169531464576721,
0.503046452999115,
0.6959537267684937,
-0.08902411162853241,
0.34404653310775757,
0.07554255425930023,
0.08724979311227798,
-0.22746750712394714,
-0.31012797355651855... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
One example is below.
Q: Sentence 1: ... | 1 | 9 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
-0.3173515796661377,
0.933387041091919,
-0.1991771012544632,
0.1370730698108673,
0.3491264581680298,
-0.2722249925136566,
0.30160757899284363,
0.8000743985176086,
0.8055533170700073,
0.5325663089752197,
-0.17685747146606445,
-0.40475913882255554,
-0.23945489525794983,
-0.3329199552536011,
... |
instruction:
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
question:
ur r so funny i knoww p really
answer:
happy
question:
i am thinking about you you are very pretty friends i dont know you tell me ... | happy
| 9 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-1.1751186847686768,
1.1042243242263794,
1.2456107139587402,
-0.6457250118255615,
0.12093880772590637,
-0.4757363200187683,
0.5231850743293762,
0.4977816939353943,
0.9225344061851501,
0.026855921372771263,
-0.10828199237585068,
-0.3542453348636627,
-0.4466264545917511,
0.09108071029186249,... |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
--------
Question: concept: Lleyton Hewitt answers: ['Tennis player']
Answer: who is lleyton hewitt?
Question: concept: Steve Nash answers: ['Santa Clara University']
Answer: what ... | who voices anakin in the clone wars?
| 7 | NIv2 | task1602_webquestion_question_genreation | fs_opt | [
-0.6076761484146118,
-0.04263799637556076,
-0.3529040217399597,
-0.4188355803489685,
0.24091440439224243,
-1.2549147605895996,
0.45778098702430725,
-0.1949084848165512,
0.7905763387680054,
-0.6799322962760925,
-0.01632612943649292,
0.6836580634117126,
-1.0978800058364868,
-0.63156610727310... |
Instructions: In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Italien kann sehr kalt sein . Ich will nicht leugnen, dass ich dachte:... | POS | 3 | NIv2 | task479_cls_german_books_classification | zs_opt | [
0.05734685808420181,
0.2631836235523224,
-0.2321489155292511,
0.1474970579147339,
-0.17185412347316742,
-0.660150408744812,
1.4280459880828857,
0.6947398781776428,
0.3475736081600189,
0.2928549349308014,
-0.19517338275909424,
0.5097324252128601,
-0.6120292544364929,
0.2427627295255661,
0... |
Q: Indicate the presence of numerical data in the abstract (whether numerical data plays a key role in medical records), solely using the information from the abstract.
Abstract: Chronic inflammation in such diseases as rheumatoid arthritis has been associated with the accumulation of iron in mononuclear phagocytes. Ci... | Yes | 7 | NIv2 | task621_ohsumed_yes_no_numerical_answer_generation | zs_opt | [
0.8358896970748901,
-0.021722055971622467,
-1.0467437505722046,
-0.3958582580089569,
-0.3967756927013397,
-0.9647283554077148,
0.3349406123161316,
1.2545831203460693,
0.3796714246273041,
0.25528305768966675,
-0.3885576128959656,
0.3640664219856262,
-1.0137065649032593,
0.10565077513456345,... |
Q: Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Women deserve to be abused, I guess.
A: | hate | 7 | NIv2 | task1604_ethos_text_classification | zs_opt | [
-0.348885715007782,
1.1702463626861572,
0.10612405836582184,
0.03680315613746643,
0.04593423753976822,
-1.1087572574615479,
-0.026515835896134377,
0.7926702499389648,
0.7449421882629395,
0.4739649295806885,
0.31549036502838135,
-0.12400218844413757,
-0.6304147243499756,
-0.4504361748695373... |
Part 1. Definition
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Part 2. Example
what kind of film is Best Seller?
Answer: crime
Explanation: The answer is correct because crime genre mo... | The Island at the Top of the World | 7 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.4060567021369934,
0.3251284658908844,
-0.32122623920440674,
0.3070175051689148,
-0.1668686419725418,
0.4996241629123688,
0.3117929995059967,
0.33667808771133423,
0.2076241821050644,
-0.20783725380897522,
-0.5833253264427185,
0.48868322372436523,
-1.226260781288147,
-0.46921563148498535,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
One example: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż komuś Jeśli c... | מכיוון שבזמן זה, זה בעצם הגוף שלי והמוזיקה. | 6 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.3288288414478302,
0.6401282548904419,
-0.6822407841682434,
0.16062018275260925,
-0.3387013375759125,
-0.806803286075592,
1.3853095769882202,
0.43081361055374146,
0.5628033876419067,
-0.5121052861213684,
-0.8556556701660156,
0.4894184470176697,
-1.3633887767791748,
-0.2723079323768616,
... |
Teacher:Given a hotel review and the corresponding polarity of review (i.e., Negative or Positive) identify if the polarity is correct. Write 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? Solve this instance: Review: What I thought was going to be a romantic Chicago Weekend turn out t... | false | 6 | NIv2 | task903_deceptive_opinion_spam_classification | zs_opt | [
-0.4605579376220703,
0.10969789326190948,
-0.4918562173843384,
-0.14203526079654694,
-0.11371001601219177,
-0.37142664194107056,
0.6939420700073242,
0.9316458702087402,
0.6234961152076721,
-0.3136656880378723,
0.44447189569473267,
0.5259647965431213,
-0.6724970936775208,
-0.264908313751220... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Entity | 0 | NIv2 | task1289_trec_classification | zs_opt | [
-0.08981785178184509,
-0.09152033925056458,
0.13623374700546265,
-0.1227046549320221,
-0.2882068157196045,
-0.5425698161125183,
0.6183202266693115,
0.055995531380176544,
0.2094205617904663,
-0.24277134239673615,
-1.1542706489562988,
-0.10299327969551086,
-0.4330803155899048,
0.311775773763... |
The goal of this task is to translate questions in Catalan into English. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question
--------
Question: Què utilitza el material Sky+ HD?
Answer: What is Sky+ HD material ... | What is the process of constructing a building or infrastructure?
| 7 | NIv2 | task1676_xquad-ca_translation | fs_opt | [
-0.6255809664726257,
0.6984632611274719,
-0.23924162983894348,
-0.16172745823860168,
0.06163887679576874,
-0.37219780683517456,
0.26006680727005005,
0.7279651761054993,
-0.008005216717720032,
-0.3625747561454773,
0.0794573649764061,
0.41821324825286865,
-0.7567625045776367,
0.2256698459386... |
You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
[Q]: Statement: ১৯২৮-২৯ মৌসুমে অস্ট্রেলিয়া সফরে টেস্ট সিরিজে কিছুটা সফলতা পান। এ সফরের পর ব্যবসায়িক দায়বদ্ধতা... | বর্ধমান
| 5 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.15388526022434235,
0.29486608505249023,
-0.2220279574394226,
0.16167066991329193,
0.0004343269392848015,
-1.1173591613769531,
-0.025151414796710014,
0.4592709243297577,
0.12775558233261108,
-0.3215751647949219,
-0.45458343625068665,
0.7257447838783264,
-0.2696034908294678,
-0.52118051052... |
You are given a statement written in Assamese. 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 .
[EX Q]: Statement: ভাৰতৰ জলবায়ু (Climate of India) <MASK>ৰ আয়তন ইমান বৃহৎ যে ইয়াৰ বিভিন্ন সময়ত বিভিন্ন ধৰণৰ ... | ইটালী
| 6 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | fs_opt | [
0.3874162435531616,
0.613583505153656,
-0.45651015639305115,
0.2233065366744995,
0.2205912321805954,
-0.43968066573143005,
0.17748120427131653,
1.0524241924285889,
-0.039507750421762466,
0.12370511889457703,
-0.1586523950099945,
0.18794624507427216,
-0.13944342732429504,
-0.129458099603652... |
Detailed Instructions: 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 across all words in that sentenc... | Yes | 8 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.5105046629905701,
0.41618072986602783,
0.3756527006626129,
0.18868494033813477,
-0.5629113912582397,
-0.4604954719543457,
0.1892552524805069,
0.16528308391571045,
-0.039854880422353745,
-0.5080862045288086,
-0.42108988761901855,
-0.25002139806747437,
0.013190568424761295,
-0.10921840369... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to det... | No | 7 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.20862099528312683,
0.49029648303985596,
0.2891034483909607,
-0.4279126822948456,
-0.4925537705421448,
-0.4666682481765747,
1.2165555953979492,
-0.11527939885854721,
-0.6138721108436584,
-0.39567461609840393,
-0.15056473016738892,
-0.25408563017845154,
-0.9254529476165771,
0.6106200218200... |
In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to cla... | Stereotype | 0 | NIv2 | task316_crows-pairs_classification_stereotype | zs_opt | [
-0.17149150371551514,
0.25806331634521484,
-0.09636707603931427,
0.9282476902008057,
-0.1243288591504097,
-0.2051788866519928,
0.6878135800361633,
1.1986865997314453,
0.4789707660675049,
-0.04748694226145744,
-0.963404655456543,
-0.06611472368240356,
-1.2615329027175903,
-0.555609881877899... |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | What was Instanbul also called?
| 6 | NIv2 | task001_quoref_question_generation | fs_opt | [
0.4667714238166809,
0.19908054172992706,
-0.4914616346359253,
-0.03499516472220421,
0.9768598079681396,
-0.29888221621513367,
0.6431794762611389,
0.7982759475708008,
-0.2730187475681305,
0.4965057373046875,
-0.2129243165254593,
0.6296072006225586,
-0.48497217893600464,
-0.1497422456741333,... |
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: イラン人は、原子力計画から撤退するように国際的な圧力を受けていたが、プログラムを保留することを拒否し、ロケット実験プログラムを進めている。
Student: | Ang mga Iranian ay sumailalim sa internasyonal na pamumuwersa na alisin sa kanilang plano ang pag abot sa kakayahang nukleyar, pero hindi napayagang magsagawa ng kanilang programa at sila rin ay nagpapatuloy sa kanilang programang kwitis. | 6 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.1850394457578659,
0.45822030305862427,
0.46368104219436646,
-0.8296762704849243,
-0.103488028049469,
-0.4193510413169861,
0.9324519038200378,
0.37556493282318115,
-0.17414462566375732,
-0.17158767580986023,
-0.9199696183204651,
0.1734977513551712,
-1.5122466087341309,
0.2370167374610901... |
Given the task definition and input, reply with output. In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Would the job pay ... | Y has just told X that he/she is considering switching his/her job. | 5 | NIv2 | task567_circa_text_generation | zs_opt | [
-0.6544179320335388,
0.7045279741287231,
-0.15114623308181763,
0.5916376113891602,
-0.0400431752204895,
0.23945817351341248,
-0.2655595541000366,
0.682981014251709,
0.7390742301940918,
-0.09640216827392578,
-0.8737619519233704,
-0.02484995312988758,
-0.2210981249809265,
0.47427529096603394... |
In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
--------
Question: ... | Fact1: The creator of Futurama is Matt Groening. Fact2: Matt Groening was born in 1954. Fact3: The 20th (twentieth) century was a century that began on January 1, 1901 and ended on December 31, 2000. Fact4: The 21st (twenty-first) century began on January 1, 2001, and will end on December 31, 2100.
| 7 | NIv2 | task169_strategyqa_sentence_generation | fs_opt | [
0.08532372862100601,
-0.7374600768089294,
0.12477350234985352,
-0.008861922658979893,
0.06906158477067947,
-0.42052942514419556,
0.2698313593864441,
0.9088940620422363,
0.2579719126224518,
0.08297725021839142,
-0.462258517742157,
-0.050654374063014984,
-0.3675147294998169,
-0.3166407346725... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Example: Deserts are in extremely dry environments, so liquids will naturally be (A) rai... | D | 1 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.5930579304695129,
0.5490403175354004,
-0.4555862843990326,
0.10449358075857162,
-0.578758955001831,
0.1430458128452301,
0.49069666862487793,
0.8015275001525879,
-0.13974104821681976,
-0.13979843258857727,
-0.26602697372436523,
-0.6187260150909424,
0.16001135110855103,
-0.124157473444938... |
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.
Example: Question: The government of ... | Solution: slower | 5 | NIv2 | task178_quartz_question_answering | fs_opt | [
-0.41648560762405396,
0.2962803840637207,
-0.4115293025970459,
-0.5609719157218933,
-0.023314742371439934,
-0.5807235240936279,
0.5008561611175537,
0.9520734548568726,
-0.3789999485015869,
0.42889857292175293,
-0.6562104225158691,
-0.3450894057750702,
-0.6413784027099609,
-0.08307414501905... |
Definition: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Input: Paragraph: Phylogenomic analysis of ... | True | 2 | NIv2 | task1162_coda19_title_classification | zs_opt | [
0.39888760447502136,
0.03151678293943405,
-0.5185728669166565,
0.6703641414642334,
-0.2657085061073303,
-0.03857851400971413,
0.39877378940582275,
0.7526752948760986,
0.08924559503793716,
0.37924298644065857,
-0.08092781901359558,
0.865689754486084,
0.04759719967842102,
0.3268309235572815,... |
Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).
Q: If something is rough and white then it is big. Nice things are round. All rough, furry things are smart. If Bob is smart then Bob is n... | Bob is not rough. | 4 | NIv2 | task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | zs_opt | [
-0.21374985575675964,
1.1206855773925781,
0.2087477445602417,
-0.32418885827064514,
-0.5009160041809082,
-0.8973569273948669,
-0.24791264533996582,
0.13753828406333923,
0.008187124505639076,
0.23697529733181,
-0.30046576261520386,
0.6402674317359924,
-0.2867663502693176,
-0.222772181034088... |
You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ... | Solution: B | 5 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
0.4735308885574341,
0.6457010507583618,
-0.8751987218856812,
-0.0029379366897046566,
-0.18519237637519836,
-0.1539228856563568,
0.19283950328826904,
0.9683492183685303,
-0.16237126290798187,
-0.19508065283298492,
-0.6267693042755127,
0.7929975986480713,
0.019187550991773605,
-0.12159976363... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Q: 2, ['H', '4381', 'C', '699', 'd', 'N', 'R', '487', 'B', 'E', 'F']
A: | C, 699, d, N, R, 487, B, E, F | 4 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
-0.0542646199464798,
0.020218119025230408,
0.04629065841436386,
-0.1814659833908081,
-0.5250678062438965,
-0.13711801171302795,
0.2814047038555145,
-0.3576369881629944,
-0.28733134269714355,
-0.6188706159591675,
-1.230437994003296,
-0.38181740045547485,
0.4233538508415222,
-0.2241306304931... |
Detailed Instructions: The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Q: Topic: We should subsidize journalism<sep>Argument: W... | True | 9 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
-0.5255885720252991,
0.5477596521377563,
0.47431445121765137,
0.11887724697589874,
-0.13436388969421387,
-0.4189664125442505,
-0.024118531495332718,
0.3619394898414612,
0.37463441491127014,
0.0440947599709034,
-0.4057582914829254,
-0.1648940145969391,
-0.4922533631324768,
0.445140689611434... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
One example is below.
Q: Jag förklarar debatten avslutad.... | English | 9 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
0.071541927754879,
0.8557062745094299,
0.6121290922164917,
-0.7801216244697571,
0.22629863023757935,
-0.6393651962280273,
0.6823465824127197,
0.4479542672634125,
0.2615337371826172,
0.01334688626229763,
-0.09308440238237381,
0.591403603553772,
-0.26255375146865845,
-0.42901211977005005,
... |
Instructions: The input is a sentence with a missed word and an emotion. Your task is to fill in the blank with a word that matches the emotion and rewrite the completed sentence. The emotion is one of ['fear', 'joy', 'anger', 'sadness'].
Input: SENTENCE: Josh told us all about the recent <blank> events.
EMOTION: fear... | Josh told us all about the recent threatening events. | 3 | NIv2 | task1339_peixian_equity_evaluation_corpus_text_completion | zs_opt | [
0.24957752227783203,
0.7275718450546265,
-0.028394319117069244,
-0.48269304633140564,
-0.17767783999443054,
-0.675319492816925,
1.086728572845459,
0.2711375951766968,
0.19416019320487976,
-0.2113141119480133,
-0.26729661226272583,
-0.08906317502260208,
-0.3436674475669861,
0.21206700801849... |
You will be given three sentences. Read them, then identify a noun phrase (person, place, or thing) or event that is shared between all three sentences. As the output, write the span of the text corresponding to that phrase in each sentence. Keep the order of the sentences, that is, your answer should look like: 1: *a ... | 1: Gabbana and longtime collaborator Domenico Dolce spoke 2: the social media war 3: #BoycottDolceGabbana | 9 | NIv2 | task281_points_of_correspondence | fs_opt | [
0.4686718285083771,
0.7101399898529053,
-0.05000452697277069,
0.017071254551410675,
0.18050839006900787,
0.06345007568597794,
-0.06372073292732239,
1.0732011795043945,
-0.3298472762107849,
0.722298264503479,
-0.4230727553367615,
0.4876868724822998,
-0.4692220985889435,
-0.079891137778759,
... |
Detailed Instructions: In this task, you're given a passage that represents a legal contract or clause between multiple parties. Your job is to write questions that ask the basic details corresponding to the legal contracts or clauses. Avoid questions that can be answered correctly without actually understanding the pa... | Highlight the parts (if any) of this contract related to Warranty Duration that should be reviewed by a lawyer. Details: What is the duration of any warranty against defects or errors in technology, products, or services provided under the contract? | 9 | NIv2 | task599_cuad_question_generation | zs_opt | [
0.6379839181900024,
0.11756022274494171,
-0.29948925971984863,
0.3954150676727295,
0.693939208984375,
-0.2812582850456238,
0.13205429911613464,
0.7563753128051758,
-0.5330930948257446,
0.4876246750354767,
0.03531063348054886,
0.01819254644215107,
0.01994406059384346,
0.09199979901313782,
... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Input: Consider Input: Category: moral characteristic
Words: unprejudiced, unjust, milky, ok, fair
Output: milky
Input: Conside... | Output: tart
| 2 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
-0.3124796748161316,
0.8017798662185669,
0.47942471504211426,
-0.6851791143417358,
0.031748849898576736,
0.11045198142528534,
-0.10387978702783585,
0.3148019313812256,
0.3002181053161621,
-0.06472549587488174,
-0.7026783227920532,
-0.27039653062820435,
-0.7033189535140991,
-0.1639953851699... |
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PersonX shakes the ___ to PersonY's foundations | mailbox | 0 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
0.587218165397644,
1.1760661602020264,
0.27735576033592224,
-0.13099932670593262,
-0.18571817874908447,
-0.018228614702820778,
1.0030310153961182,
0.4872799515724182,
-0.27949872612953186,
-0.9337723255157471,
-0.1855362355709076,
-0.42681369185447693,
-0.8776588439941406,
-0.1892616897821... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | Solution: NOT | 5 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-0.9050754904747009,
0.4647725820541382,
0.4126545786857605,
0.6204747557640076,
-0.3259679675102234,
-1.066151738166809,
0.5932649970054626,
0.3270314037799835,
0.30719518661499023,
-0.11603090912103653,
0.26017335057258606,
-0.27240920066833496,
-0.3657652735710144,
-0.9044198989868164,
... |
Part 1. Definition
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Part 2. Example
Chronic rhinosinusitis (CRS) is a heterogeneous disease with an unc... | 0 | 7 | NIv2 | task848_pubmedqa_classification | fs_opt | [
-0.0437476709485054,
0.4544309973716736,
-0.5270769596099854,
0.07926736027002335,
0.859725296497345,
0.004833105485886335,
-0.06629569828510284,
0.6402330994606018,
-0.1009676530957222,
0.10341405868530273,
-0.43538087606430054,
-0.17783837020397186,
-0.6666056513786316,
0.144096061587333... |
Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: i now pronounce you man and wife .
Output: | و من اکنون شما را زن و شوهر اعلام ميکنم . | 3 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.7103250026702881,
0.9391029477119446,
-0.6781781911849976,
0.027769235894083977,
0.002363369567319751,
0.36234402656555176,
0.45657312870025635,
0.9550759792327881,
1.4259428977966309,
0.1682140827178955,
-0.7522342801094055,
0.4230482876300812,
-0.2498050034046173,
-0.7333635687828064,... |
Q: Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatu... | random | 7 | NIv2 | task1418_bless_semantic_relation_classification | zs_opt | [
-0.17491471767425537,
0.3285125494003296,
0.5369064211845398,
-0.17363274097442627,
-0.6951010227203369,
0.09604193270206451,
-0.02621941640973091,
0.046331167221069336,
0.08913542330265045,
-0.7006608843803406,
-0.21255150437355042,
0.13512898981571198,
-0.9217419028282166,
0.244015008211... |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
[Q]: [[-18, -29, 4... | [20, 58, 31, -20, 29, 72, 84]
| 5 | NIv2 | task207_max_element_lists | fs_opt | [
-0.05367584526538849,
0.015901457518339157,
-0.9661406874656677,
-0.02170555293560028,
-0.29274600744247437,
-0.07759207487106323,
1.143350601196289,
0.6929923295974731,
-0.42930781841278076,
0.15733277797698975,
-0.6090584993362427,
0.38614940643310547,
-0.04982488229870796,
-0.0318360626... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | 9 | NIv2 | task1213_atomic_classification_desires | zs_opt | [
0.13105058670043945,
0.3464585840702057,
0.3218051493167877,
-0.5415591597557068,
-0.49816444516181946,
-0.8733149766921997,
1.3665461540222168,
-0.07100627571344376,
-0.3708535432815552,
-0.44332772493362427,
-0.24714942276477814,
-0.3789043128490448,
-0.6954290866851807,
0.32884764671325... |
Teacher:In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid ... | He kissed me at a school dance. | 6 | NIv2 | task067_abductivenli_answer_generation | zs_opt | [
-0.0780041515827179,
0.87636399269104,
0.33668506145477295,
-1.0176348686218262,
-0.5595654845237732,
0.07106701284646988,
0.7962011098861694,
0.4248080253601074,
-0.09868495911359787,
-0.386275976896286,
-0.09487190842628479,
0.07006880640983582,
-0.438676118850708,
-0.4568594694137573,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Comment: what an idiotic statement. I thought protecting the innocent was in everybody's inte... | Insult
| 0 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.649505078792572,
0.9395384788513184,
0.8310490846633911,
0.3329874873161316,
-0.28682780265808105,
-0.5536421537399292,
0.6356009840965271,
0.6871872544288635,
0.5526939630508423,
0.2717621624469757,
-0.013231051154434681,
0.03982410579919815,
-0.2624896764755249,
-0.6407952904701233,
... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Input: A fome é um evento rural hoje em dia.
Output: | 飢饉はほとんどが田舎のものになりました | 2 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
0.13158336281776428,
-0.09347867965698242,
0.02721283584833145,
-0.4757556915283203,
-0.739554762840271,
-0.2916004955768585,
0.8997933864593506,
0.6837681531906128,
-0.37110328674316406,
-0.7161566615104675,
-1.3479045629501343,
-0.20573368668556213,
-0.6715993881225586,
0.471941679716110... |
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". ... | No | 0 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.3561728596687317,
0.2619839310646057,
0.6202623248100281,
0.03320322185754776,
-0.658515214920044,
-0.5539830923080444,
0.06966532766819,
0.8067007660865784,
0.3102061152458191,
-0.07581773400306702,
-0.33267295360565186,
-0.3801670968532562,
-0.6147866249084473,
0.21188633143901825,
... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions shoul... | Question: Who is angered by Brody's interference?, Answer: McLeod | 0 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.28198838233947754,
0.507508397102356,
-0.8579035401344299,
-0.24828040599822998,
0.43487536907196045,
0.4423453211784363,
0.49523699283599854,
0.6317026019096375,
0.3939916789531708,
-0.12282337248325348,
-0.5640301704406738,
0.32840484380722046,
-1.072798252105713,
0.02465132065117359,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not... | True | 0 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.4344407021999359,
0.33157777786254883,
-0.18035483360290527,
0.21535545587539673,
-0.16935646533966064,
-0.891169011592865,
0.84003746509552,
0.8366307616233826,
-0.36129873991012573,
-0.012147465720772743,
-0.26780399680137634,
0.3733242154121399,
0.21660365164279938,
-0.107583463191986... |
Instructions: Categorize the following sentence into one of the five different emotions: anger, confusion, joy, sadness and neutral.
Input: No idea man. Go check that one “study” done thirty years ago where you got that 40% from.
Output: | confusion | 3 | NIv2 | task889_goemotions_classification | zs_opt | [
0.08681454509496689,
0.2811126112937927,
0.4969463348388672,
-0.41724640130996704,
0.014021282084286213,
-0.044439107179641724,
0.9694253206253052,
0.9273443222045898,
1.0334521532058716,
0.20293614268302917,
-0.3830842673778534,
-0.4337971806526184,
-0.6823852062225342,
-0.102004021406173... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
アフリカのゴンドワナ大地がプロテアを育てました
| In Africa, la Gondwana plasmò le proteaceae. | 5 | NIv2 | task1096_ted_translation_ja_it | zs_opt | [
-0.33669358491897583,
1.06805419921875,
-0.05091481655836105,
-0.3862987458705902,
-0.1732184886932373,
-0.423855185508728,
-0.2901231348514557,
0.6765668988227844,
-0.1498039960861206,
-0.5433533191680908,
-0.9366863965988159,
0.32952070236206055,
-0.9086611866950989,
0.15246406197547913,... |
Q: In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the state... | There are signs and they helped the visitors. | 7 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-0.9409594535827637,
0.8915315866470337,
-0.09865088760852814,
-0.06484374403953552,
0.1012767106294632,
-0.5186722278594971,
-0.20416811108589172,
0.34859591722488403,
0.5499895811080933,
-0.15880796313285828,
0.4162279963493347,
0.1892644762992859,
-0.5902523994445801,
0.0794567465782165... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must... | False | 1 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.4078579545021057,
-0.2600290775299072,
-0.8588051795959473,
0.5869283676147461,
-0.24209153652191162,
-0.5941799879074097,
0.2285206913948059,
1.3833110332489014,
0.3220699429512024,
0.33399325609207153,
-0.5591539740562439,
0.6794534921646118,
-0.060212500393390656,
-0.0886635035276413,... |
In this task, given a sentence in the Vietnamese language, your task is to convert it into the English language.
Example: Theo Trung tá Forbes Peters của Hải quân Australia, các quan chức Indonesia cũng hài lòng như các thủy thủ, Peters nói rằng "Các tùy viên hải quân và đại sứ đang ở đây và họ ôm chặt vào Trung tá Lar... | Solution: Also according to the Times, when purchasing the ammunition, AEY worked with middlemen and a shell company which has been placed on federal list of entities suspected of illegal arms trafficking. | 5 | NIv2 | task536_alt_translation_vi_en | fs_opt | [
-0.6904500722885132,
-0.004170998930931091,
-0.17250847816467285,
-0.5444350242614746,
0.43020951747894287,
-0.5111047625541687,
0.2240464836359024,
0.07785886526107788,
0.04130743443965912,
0.6121078729629517,
0.187631756067276,
0.9226166605949402,
-0.41243091225624084,
0.3502518534660339... |
Detailed Instructions: 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 ci... | (B) | 9 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.39132949709892273,
0.2191523313522339,
-0.23015177249908447,
-0.05759194493293762,
0.094496950507164,
-0.7128008604049683,
0.5958515405654907,
1.2528852224349976,
-0.581282377243042,
-0.5347021222114563,
-0.7159355878829956,
-0.07689182460308075,
-0.7251781225204468,
-0.08326968550682068... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
News Headl... | Not Funny | 0 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.029735621064901352,
0.9051065444946289,
0.28130993247032166,
-0.08284947276115417,
-0.7346147298812866,
-0.4630434215068817,
-0.002703155158087611,
1.0928152799606323,
0.1287195384502411,
-0.2195243239402771,
-0.738544225692749,
-0.5065950155258179,
-0.6964901089668274,
0.337094426155090... |
Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are th... | unique | 3 | NIv2 | task212_logic2text_classification | zs_opt | [
0.12847143411636353,
-0.2824079394340515,
-0.3943825960159302,
0.2295951545238495,
0.3823707699775696,
-0.5326351523399353,
0.7300906181335449,
0.6527419686317444,
0.29340052604675293,
-0.015888797119259834,
-0.09997939318418503,
0.03748944401741028,
0.1503174901008606,
0.3888316750526428,... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.