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 |
|---|---|---|---|---|---|---|
Teacher:In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Teacher:... | L, 2585, S, 6005, w | 6 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-0.6507406234741211,
0.5025445222854614,
-0.6240715384483337,
-0.4202479124069214,
-0.2989208698272705,
-0.6047899127006531,
0.17712929844856262,
-0.12411018460988998,
-0.44727790355682373,
0.19245117902755737,
-0.6291848421096802,
0.10711538791656494,
0.30372944474220276,
-0.4804957807064... |
Part 1. Definition
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.
Part 2. Example
I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks... | Negative | 7 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
-0.18233516812324524,
-0.28736287355422974,
0.38744935393333435,
-0.01312108151614666,
0.4260190427303314,
0.12678614258766174,
1.0347931385040283,
-0.09091011434793472,
-0.06367843598127365,
0.09305877238512039,
-0.01025514118373394,
-0.15825699269771576,
-0.6636335253715515,
-0.403482675... |
Definition: You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that r... | Borania. | 2 | NIv2 | task061_ropes_answer_generation | zs_opt | [
0.31947898864746094,
0.588373064994812,
0.1578928530216217,
-0.21229368448257446,
0.3610283434391022,
0.1857956200838089,
0.968446671962738,
0.9238172173500061,
-0.9114910364151001,
0.4057437777519226,
-0.8182713985443115,
0.41424357891082764,
-1.012818455696106,
0.16852834820747375,
-0.... |
Given the task definition and input, reply with output. 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.
System Reference: pickwick hotel is located at 85 5th st an... | 0 | 5 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.8019120693206787,
0.6731524467468262,
-0.4818313717842102,
-0.00821248535066843,
-0.13441403210163116,
-0.4976215362548828,
0.6172252893447876,
-0.14583568274974823,
0.29465413093566895,
0.07768930494785309,
-0.5389900803565979,
0.1630677431821823,
-0.7511221170425415,
0.192400559782981... |
Instructions: Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Input: Abstract: Mechanical ventilation was able to induce a decrease in cardiac output and regional blood flow, especially... | Adult | 3 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | zs_opt | [
0.8465772271156311,
0.21002210676670074,
-0.7867907285690308,
0.16263052821159363,
0.8274931907653809,
-0.5670760869979858,
0.355032354593277,
0.6924290657043457,
0.08337163180112839,
0.5853140950202942,
-0.4322514832019806,
0.40781170129776,
-0.28089970350265503,
0.09042374044656754,
-0... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Example: My boyfriend (we... | Solution: not wanting to hang out that much with my very extroverted roommate | 5 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.00850682146847248,
-0.07472609728574753,
-0.0009995477739721537,
0.346001535654068,
0.5492158532142639,
-0.5517687201499939,
0.03750483691692352,
0.4862568974494934,
-0.7780264019966125,
0.3997257947921753,
-0.040647439658641815,
0.39866843819618225,
-0.5171715617179871,
0.05705470219254... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | The boy was sitting on a blue chair.
| 0 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
0.10406048595905304,
0.4714687466621399,
-0.22974634170532227,
-0.6910197138786316,
0.022270534187555313,
-0.21603477001190186,
0.2843003571033478,
0.582252025604248,
0.49119094014167786,
-0.009989071637392044,
-0.7618680000305176,
-0.2929844260215759,
-0.1922193467617035,
0.03985081240534... |
Definition: In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support i... | Favor | 2 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | zs_opt | [
0.09699101001024246,
0.44318968057632446,
-0.000978922238573432,
0.3431047201156616,
-0.2799317240715027,
-1.1340346336364746,
0.32923024892807007,
0.8836910724639893,
0.20161360502243042,
0.47633442282676697,
-0.6232168674468994,
-0.2967097759246826,
-0.20427973568439484,
-0.6881387233734... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | No
| 7 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.6273912191390991,
0.4072690010070801,
0.27967697381973267,
-0.06699827313423157,
-0.5131381154060364,
-1.3226807117462158,
1.1529964208602905,
0.5565801858901978,
-0.16946248710155487,
-0.35329386591911316,
-0.43470466136932373,
-0.18551494181156158,
-0.7798787355422974,
0.26944357156753... |
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.
Example: Problem: a multiple choice test consists of 4 questions, and each ... | Solution: e | 5 | NIv2 | task1678_mathqa_answer_selection | fs_opt | [
0.6291143894195557,
0.25113919377326965,
0.2515299916267395,
0.007156009785830975,
0.43823254108428955,
-0.14038729667663574,
1.0713012218475342,
0.9298094511032104,
-0.3872164785861969,
0.17606252431869507,
-0.3839641213417053,
0.23653356730937958,
-0.16455760598182678,
-0.006252081133425... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: アップルのスポークスマ... | Yes | 5 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.5372357368469238,
0.48054027557373047,
-0.2408764511346817,
-0.1004343032836914,
-0.37734121084213257,
-0.05412019044160843,
0.2969852089881897,
-0.16428028047084808,
-0.030096570029854774,
-0.14906218647956848,
-0.46876001358032227,
0.6205438375473022,
-0.7123722434043884,
0.0204066149... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Q: All Lives do matter and we can do a much better job of displaying this and encouraging one another to know our... | Not Hope Speech
****
| 4 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.1586756706237793,
-0.07153056561946869,
0.30179738998413086,
0.018425043672323227,
-0.6052685976028442,
-1.0999212265014648,
0.30014246702194214,
1.0943803787231445,
-0.07814968377351761,
0.5251040458679199,
-0.5042836666107178,
0.07727103680372238,
-0.3691100478172302,
0.22112187743186... |
Given the task definition, example input & output, solve the new input case.
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given... | drink items | 1 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.802712619304657,
0.5362231731414795,
-0.4279094934463501,
0.8479952812194824,
0.14287859201431274,
-0.07500603795051575,
0.7934165000915527,
0.962405800819397,
-0.5431311130523682,
-0.14995676279067993,
-0.03134608268737793,
-0.22187355160713196,
-0.3015311360359192,
0.025431768968701363... |
TASK DEFINITION: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve... | turn right after look opposite left
| 8 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.4127027988433838,
0.5055338144302368,
-0.5267525911331177,
0.14396637678146362,
-0.20295467972755432,
0.6555669903755188,
0.3126510679721832,
0.3209295868873596,
-0.2957480847835541,
-0.21388764679431915,
-0.6399951577186584,
-0.15865115821361542,
-0.47574132680892944,
0.1694318205118179... |
Part 1. Definition
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.... | Yes | 7 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.3731752038002014,
0.20417310297489166,
0.12817269563674927,
0.035553399473428726,
-0.40291064977645874,
-0.6383144855499268,
0.9831116199493408,
0.40062522888183594,
-0.5597745776176453,
-0.42456167936325073,
-0.5670725703239441,
-0.20905530452728271,
-0.7239946126937866,
0.2778950333595... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
[EX Q]: どこを取っても創意に富んでいます 1000年前に現れた楽器であることを考えればなおのことです元々は2人で演奏しました 1人がクランクを回しもう1人が大きな木のペグを物理的に引き上げることで旋律を弾きました
[EX A]: Wszystko to jest całkiem innowacyjne, biorąc pod uwagę to, że lira korbowa powstawała około 1000 lat t... | Częścią tego zdrowia jest znakomite wykształcenie.
| 6 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
-1.040781021118164,
0.4051133990287781,
-0.592725932598114,
0.2917703688144684,
0.027725623920559883,
-0.4007647633552551,
0.4675556421279907,
-0.03357416018843651,
-0.3956596553325653,
-1.0681127309799194,
0.08558470010757446,
0.47198551893234253,
-0.7549028396606445,
0.13486739993095398,... |
Q: 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.
Category: food
Words: pork, vittles, frank, sausage, stern
A: | stern | 7 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.28935790061950684,
0.3780813217163086,
0.174037903547287,
0.3685570955276489,
0.03207510709762573,
0.563523530960083,
0.38900133967399597,
0.23113323748111725,
0.5907297730445862,
-0.39390435814857483,
0.2845228910446167,
-0.4963223338127136,
-0.905560314655304,
0.7184048891067505,
0.... |
Detailed Instructions: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a pr... | SELECT pName , HS FROM Player WHERE HS < 1500 | 8 | NIv2 | task107_splash_question_to_sql | zs_opt | [
0.6771211624145508,
0.1507580280303955,
-1.2239893674850464,
0.9245948195457458,
-0.471111923456192,
-0.17247092723846436,
0.8120490908622742,
1.0995266437530518,
-0.4954460859298706,
0.37335097789764404,
0.036433469504117966,
0.24222159385681152,
-0.0007222872227430344,
0.3191144168376922... |
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Article: We found out that Jenny was suffering hearing loss whe... | According to the passage, Jenny was mainly described as _ . | 0 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.5533871054649353,
0.6459457278251648,
-0.9073002338409424,
-0.13565601408481598,
0.503036379814148,
-0.7144228219985962,
0.23502352833747864,
0.677764892578125,
0.5320081114768982,
-0.45664969086647034,
-0.1283796727657318,
0.5948997735977173,
-0.3071920871734619,
0.31566935777664185,
... |
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 integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a singl... | 183 | 1 | NIv2 | task1446_farthest_integers | zs_opt | [
-0.2680363357067108,
0.6122626066207886,
0.02403186447918415,
-0.0032190908677875996,
-0.20463618636131287,
0.21884757280349731,
0.8708009123802185,
0.3217763304710388,
0.874732255935669,
0.062132418155670166,
-0.18952958285808563,
-0.28383898735046387,
-0.40285444259643555,
0.019251648336... |
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 | task1207_atomic_classification_atlocation | zs_opt | [
0.47764068841934204,
0.4515765905380249,
0.3119911849498749,
-0.2196861207485199,
-0.5289028882980347,
-0.6319063901901245,
1.1266019344329834,
0.5553874373435974,
-0.40537029504776,
-0.5613446235656738,
-0.2789238691329956,
-0.6404554843902588,
-0.5988295078277588,
0.37662339210510254,
... |
Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Q: news:The webcast may be followed online on the company website at www.ruukki.com/investors .
polarity:positive
A: false
***... | true
****
| 4 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.5541568994522095,
0.5383679270744324,
0.05466197431087494,
0.4587673246860504,
-0.47757214307785034,
0.1455625295639038,
0.49527040123939514,
0.9556320905685425,
0.21696928143501282,
-0.24179038405418396,
-0.1764974296092987,
0.9878155589103699,
-0.22306431829929352,
-0.0053916508331894... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Problem:Lo bueno fue que llegó un momento en que él pasaba por la habitación de su hija, y ella estaba cantando esa canción para sí misma.
Solution: | La cosa bella è che un giorno passò vicino camera di sua figlia, e lei stava cantando proprio questa canzone. | 8 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
0.3334963619709015,
1.4598222970962524,
-1.1857985258102417,
-0.0398007407784462,
-0.5208674073219299,
0.29137396812438965,
0.5413416624069214,
1.182973861694336,
-0.44158339500427246,
0.27626121044158936,
-0.4362628161907196,
0.5012728571891785,
-0.15452373027801514,
-0.2317255735397339,
... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: آنها حتی علیه نمایندگان مجلس، دادستان و مدعیالعموم از گاز فلفل استفاده کردند.
Student: | They even used pepper spray against the congressmen, the prosecutor, and the public defender. | 6 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.5636931657791138,
0.42130565643310547,
-0.23883211612701416,
-0.9249995946884155,
-0.48833903670310974,
-0.5796734690666199,
1.4144270420074463,
0.7059696912765503,
-0.10961166769266129,
-0.1900898814201355,
0.13570302724838257,
0.7999248504638672,
-0.599907398223877,
-0.565424859523773... |
Teacher:Translate the given Spanish text to English
Teacher: Now, understand the problem? Solve this instance: An optional outer layer may be present on the intermediate layer.
Student: | Una capa exterior opcional puede estar presente sobre la capa intermedia. | 6 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.17331025004386902,
0.11789975315332413,
-0.030015401542186737,
-0.6458699703216553,
-0.3347211182117462,
0.048279259353876114,
0.08566945791244507,
1.6811528205871582,
0.020814567804336548,
0.24986781179904938,
0.060114771127700806,
0.04460412263870239,
-0.3263300061225891,
-0.526689887... |
Q: In this task you will be given a list of strings and you need to concatenate them.
['Q', 'and', 'O', 'that', 'o', 'e', 'D', 'h', 't', 'inscrutably', 'd', 'sea,', 'o', 'G']
A: | QandOthatoeDhtinscrutablydsea,oG | 7 | NIv2 | task079_conala_concat_strings | zs_opt | [
-0.7880696058273315,
1.0338928699493408,
-0.15125513076782227,
-1.0487416982650757,
-0.22652465105056763,
-0.9552624225616455,
0.3618358373641968,
-0.35498762130737305,
-0.4421751797199249,
0.41160109639167786,
0.18913187086582184,
-0.3385782837867737,
-0.03260444104671478,
-0.499195635318... |
Part 1. Definition
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Part 2. Example
Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Answer: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Explanation: The Italian sent... | フェニックス諸島からの情報はなにもありませんでした | 7 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
0.05661176145076752,
0.18869945406913757,
-0.5661259889602661,
-0.7752184271812439,
-0.16666558384895325,
-0.9673969149589539,
0.8815891742706299,
0.6586982011795044,
0.598351240158081,
-0.46146219968795776,
-0.4700920879840851,
0.4058835208415985,
-0.5664393305778503,
-0.05224707722663879... |
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
Example input: im feeling quite sad and sorry for myself but ill snap out of it soon
Example output: sadness
Example explanation: The emotion of the post is sa... | surprise | 3 | NIv2 | task512_twitter_emotion_classification | fs_opt | [
-1.2864367961883545,
0.03854002058506012,
0.21708446741104126,
-0.046943843364715576,
0.31505298614501953,
-0.7182191610336304,
0.2086416482925415,
0.32782670855522156,
-0.011838352307677269,
0.23624947667121887,
0.2549881339073181,
-0.17751115560531616,
-0.783819317817688,
0.2656717896461... |
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 the list.
Ex Input:
[... | 1, 2, 3, 4, 5, 7, 8, 11, 12, 14, 15, 16, 18, 19, 24, 27, 29, 30, 31
| 1 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.1619570106267929,
0.16052383184432983,
-0.5098236799240112,
-0.7581227421760559,
-0.1365075707435608,
-0.5561538934707642,
1.1836516857147217,
0.5190716981887817,
-0.5886201858520508,
0.3820384740829468,
-0.3168359398841858,
0.0891910046339035,
-0.3182663917541504,
0.1416538953781128,
... |
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.
[Q]: The restoration of coronary flow after transient ischemia immediately induces life-threatening v... | 1
| 5 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.7604878544807434,
0.18231303989887238,
-0.3147932291030884,
0.2586641311645508,
0.5319947004318237,
-0.49661093950271606,
0.8908033967018127,
0.6355551481246948,
0.07625481486320496,
0.5536043643951416,
-0.487193763256073,
-0.191642165184021,
-0.5275986194610596,
0.24466988444328308,
-... |
In this task if the pronoun is male or gender-neutral you are to replace it with a female pronoun. If there are no pronouns add a female-gendered word to the sentence.
I can't tell you anything about her because I'm completely ignorant when it comes to down-ballot politics of 19th century France.
I couldn't tell you. ... | I work in IT. living in Vienna
| 0 | NIv2 | task1670_md_gender_bias_text_modification | fs_opt | [
-0.4459422826766968,
1.2351055145263672,
-0.06546423584222794,
0.14513811469078064,
-0.027784297242760658,
-0.2480919063091278,
0.7798221111297607,
0.5758466720581055,
0.9203585982322693,
-0.38193652033805847,
-0.4439755976200104,
0.25557848811149597,
-0.9307020902633667,
-0.15081626176834... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduc... | Three people walking down a street with a bicycle and umbrellas. | 4 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
0.03996496647596359,
0.6362971067428589,
0.10466912388801575,
-0.42052432894706726,
-0.00953418668359518,
-0.6524250507354736,
0.008735595270991325,
0.5305900573730469,
0.29376378655433655,
-0.19167014956474304,
-0.8812401294708252,
0.05625399574637413,
-0.38305768370628357,
-0.25270679593... |
Definition: In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Input: [3, 4, 5, 0, 7, 7, 2, 3, 0, 3]
Output: | [4, 5, 2] | 2 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.44478344917297363,
0.5749026536941528,
-0.6142030358314514,
-0.2028104066848755,
0.3102516829967499,
-0.12674525380134583,
0.7992081642150879,
0.25213947892189026,
-0.21587485074996948,
-0.12586969137191772,
-0.8948352336883545,
0.17434635758399963,
0.1004147082567215,
-0.35680580139160... |
Detailed Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Problem:آیا چون به شما [در نبرد احد] مصیبتى رسید - [با آنکه در نبرد بدر] دو برابرش را [به دشمنان خود] رساندید- گفتید: «این [مصیبت] از کجا [به ما رسید]؟» بگو: «آن از خود شما [و ناشى از... | How is it that when misfortune befell you, you said: "Where has this come from?" -- even though you had inflicted disaster twice as great on (the enemy). Say: "This has come from your own selves." Surely God has power over all things. | 8 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.22763898968696594,
1.2103822231292725,
-0.15385574102401733,
-0.7914990782737732,
-0.7123962044715881,
-0.7480026483535767,
0.7812732458114624,
0.6558783650398254,
0.7153366804122925,
-0.41154175996780396,
-1.0163750648498535,
1.0302882194519043,
-0.9302283525466919,
0.14188152551651,
... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Example: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
Example solution: What ... | Solution: What will Alex want to do next? | 5 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.44929617643356323,
1.0847220420837402,
0.3006574511528015,
-0.4062613248825073,
-0.23873312771320343,
-0.48569947481155396,
0.2659209370613098,
0.04692862927913666,
0.3257131576538086,
0.04229331761598587,
-0.5130660533905029,
-0.017741382122039795,
-0.5820971727371216,
0.095437809824943... |
TASK DEFINITION: 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 comple... | B, D, E.
| 8 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.9445121884346008,
0.08692197501659393,
-0.4328750669956207,
0.26028749346733093,
0.2293637990951538,
-0.5081217885017395,
0.906513512134552,
0.441375195980072,
-0.676277220249176,
0.045104771852493286,
0.05434048920869827,
0.11110854148864746,
-0.4018198549747467,
-0.02619044855237007,
... |
Q: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Comment: And yet the typical stereotype of a p... | Non-threat | 7 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.5284539461135864,
0.3869900107383728,
0.20706087350845337,
-0.2771197557449341,
0.10468487441539764,
-0.6952964663505554,
0.5040277242660522,
1.2079823017120361,
0.48562300205230713,
0.31868523359298706,
-0.21442484855651855,
0.06038029491901398,
-0.36340397596359253,
-0.887443304061889... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
English sentence: 5. Many waters cannot quench love, neither can the floods drown it: if a man would give al... | 5. Ang maraming tubig ay hindi makapapatay sa pagsinta, Ni mapauurong man ng mga baha; kung ibigay ng lalaki ang lahat na laman ng kaniyang bahay dahil sa pagsinta, Siya y lubos na kukutyain. | 1 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.6349325180053711,
0.46558520197868347,
0.1604640781879425,
-0.5141303539276123,
0.7439607977867126,
-1.7614383697509766,
0.7882009744644165,
0.5063107013702393,
-0.7580558061599731,
-0.06507283449172974,
0.17485839128494263,
0.14523175358772278,
-1.0576285123825073,
0.06812107563018799,
... |
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Sentence-1: If it's affordable<sep>Sentence-2: I enjoy fine dining . | Yes | 0 | NIv2 | task566_circa_classification | zs_opt | [
-1.0446009635925293,
0.0031214063055813313,
0.3532434403896332,
0.06108226999640465,
-0.11986259371042252,
0.3195352554321289,
0.4109293520450592,
0.614974319934845,
0.07145090401172638,
0.1264348179101944,
0.04635678976774216,
-0.4997056722640991,
-0.9460065364837646,
-0.1222342923283577,... |
Instructions: Given an abstract, indicate which of the provided candidate titles (Option1 and Option2) best describes it (respond with the text of the title, not option1/2).
Input: Abstract: CT scans were obtained in five patients who presented with abdominal pain and were found to have an abdominal aortic aneurysm wit... | Differentiation of ruptured aortic aneurysm from acute expansion by computerised tomography. | 3 | NIv2 | task624_ohsumed_question_answering | zs_opt | [
-0.36051565408706665,
0.782204270362854,
-0.5012174844741821,
0.4562012851238251,
0.14451640844345093,
-0.09435761719942093,
-0.05389651656150818,
0.5171455144882202,
0.7219402194023132,
0.47713643312454224,
-0.06580212712287903,
-0.2495550662279129,
-0.4280429184436798,
0.3490689098834991... |
Detailed Instructions: In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Q: Opponents... | Social Science | 9 | NIv2 | task521_trivia_question_classification | zs_opt | [
0.15818463265895844,
0.5201429128646851,
0.02871137112379074,
-0.16164731979370117,
-0.3296521306037903,
-0.181029811501503,
0.34824079275131226,
0.7181904315948486,
-0.5098897218704224,
0.10124722868204117,
-0.6875871419906616,
0.6618448495864868,
-1.2367217540740967,
-0.01343566738069057... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supp... | Christie Hayes is best known for her work on a television series that began in what year? | 0 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.6973507404327393,
0.4010049104690552,
-0.9036645889282227,
0.89146888256073,
0.5780225992202759,
-0.05887802317738533,
0.7222220301628113,
0.46643805503845215,
-0.15784725546836853,
0.5036911964416504,
-0.01901327632367611,
0.48056700825691223,
-0.8366755247116089,
0.01653653383255005,
... |
Teacher: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Tea... | [99, 77] | 2 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.2946193814277649,
-0.112561896443367,
-0.5405941009521484,
-0.45770493149757385,
0.5685030221939087,
-0.48024916648864746,
0.7322365641593933,
0.5559464693069458,
-0.6709266901016235,
0.30538398027420044,
-0.5262581706047058,
0.05358924716711044,
-0.27790534496307373,
-0.916018307209014... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
--------
Question: Question: How many years did Pietro Pellegri ... | 3
| 7 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.6652830839157104,
0.5166622400283813,
-1.1718099117279053,
0.18165503442287445,
0.28483888506889343,
-0.10291994363069534,
1.1081619262695312,
0.671310544013977,
-0.11430856585502625,
0.23415181040763855,
-0.1489516794681549,
0.7707345485687256,
-0.8520876169204712,
-0.248191237449646,
... |
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 determ... | Yes | 0 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.33421069383621216,
0.4618927538394928,
0.07828114181756973,
0.008956896141171455,
-0.5578267574310303,
-0.5884360074996948,
1.0551764965057373,
0.41219377517700195,
-0.7487361431121826,
-0.46798717975616455,
-0.6183580160140991,
-0.32301464676856995,
-0.49279212951660156,
0.2553827166557... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: Uma dança social não é coreografada por nenhuma pessoa.
Student: | ריקוד חברתי איננו מתוכנן על ידי אדם יחיד, | 6 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
-0.3261813521385193,
0.6212109327316284,
0.3949720859527588,
-0.8819698095321655,
-0.3360276520252228,
0.8228603005409241,
0.1784970611333847,
0.13197559118270874,
0.22138790786266327,
-0.2665790021419525,
-0.002512597478926182,
0.19294767081737518,
-1.186833143234253,
-0.2550411522388458,... |
Teacher: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 'first' key. If there is two dictionaries with the same 'first' value the... | [{'first': -71, 'second': -59}, {'first': -63, 'second': 50}, {'first': -9, 'second': 55}, {'first': 37, 'second': -87}, {'first': 64, 'second': -74}, {'first': 77, 'second': -48}] | 6 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.27903687953948975,
0.10803834348917007,
0.07902277261018753,
-0.38022881746292114,
0.5338085889816284,
-0.0675690770149231,
0.5269465446472168,
0.6437954902648926,
0.2112448811531067,
-0.1441863477230072,
-0.40355783700942993,
-0.7544748783111572,
-0.9899768829345703,
-0.322709053754806... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the sym... | -6320 | 0 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
0.08251342177391052,
0.8067551851272583,
-0.5751538276672363,
-0.20579342544078827,
-0.4963541328907013,
-0.1863466203212738,
1.0287494659423828,
1.3183516263961792,
0.7026910781860352,
-0.000645202468149364,
-0.4431194067001343,
-0.6684664487838745,
0.07025611400604248,
0.4160610437393188... |
Given the task definition and input, reply with output. Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
news:Other potential clients include public administration organization... | true | 5 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-1.2974600791931152,
0.376492977142334,
-0.0009871554793789983,
0.5387743711471558,
-0.052301354706287384,
-0.11541710048913956,
0.13897699117660522,
0.5830285549163818,
0.2844427824020386,
0.22130972146987915,
-0.34665536880493164,
-0.0034363153390586376,
0.05244041979312897,
-0.665282428... |
Detailed Instructions: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
See one example below:
Problem: goc... | pbbgbbp | 4 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.4684666395187378,
0.797836422920227,
0.08193749189376831,
-0.428128182888031,
-0.16425588726997375,
-0.5963104963302612,
1.2693133354187012,
-0.2418593168258667,
-0.21331840753555298,
-0.2053084373474121,
-0.5900499820709229,
-0.055529989302158356,
-0.37266162037849426,
0.04841610044240... |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
no but mes... | mestizo spic | 0 | NIv2 | task1504_hatexplain_answer_generation | zs_opt | [
-0.6390765905380249,
0.8347630500793457,
0.3796139359474182,
1.028076410293579,
-0.4821569323539734,
-1.1353849172592163,
-0.2270665019750595,
0.6340519785881042,
0.5597215294837952,
0.30763351917266846,
-0.9194616079330444,
-0.2838042974472046,
-0.35215169191360474,
-0.6979981064796448,
... |
Instructions: In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Input: [22.383, -84.982, 188.927, 249.291, -0.503, 46.703, -12.449, 120.994]
Output: | [ 0.042 -0.16 0.356 0.47 -0.001 0.088 -0.023 0.228] | 3 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.3555995225906372,
0.1219584196805954,
-1.137526273727417,
-0.9261199831962585,
0.10981042683124542,
0.30992966890335083,
0.1464005708694458,
-0.44204986095428467,
-0.8794441819190979,
-0.18133187294006348,
-0.8824215531349182,
0.5660300254821777,
-0.29735130071640015,
-0.661947846412658... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Example input: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program... | yes | 3 | NIv2 | task1587_scifact_classification | fs_opt | [
0.2949250638484955,
-0.1500498354434967,
-0.668554425239563,
0.04821069538593292,
0.5591400265693665,
-0.055229343473911285,
0.43944793939590454,
1.001326084136963,
0.013356812298297882,
-0.20934730768203735,
-0.41135671734809875,
0.11625908315181732,
-1.0969014167785645,
0.180917248129844... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | sad | 0 | NIv2 | task595_mocha_answer_generation | zs_opt | [
0.608210563659668,
0.3160921335220337,
0.40636274218559265,
-0.23739108443260193,
-0.20309126377105713,
-0.6572279930114746,
0.7854377627372742,
-0.42820414900779724,
0.3370654582977295,
0.3329528570175171,
-0.3768206834793091,
0.12867692112922668,
0.44855815172195435,
0.7265755534172058,
... |
Detailed Instructions: 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: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is wh... | red_box | 8 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.20727336406707764,
0.08753658086061478,
-0.3056557774543762,
-0.1808834820985794,
-0.5460047125816345,
-0.5897760391235352,
0.6989768743515015,
0.384149432182312,
0.4139748811721802,
-0.5241363048553467,
-0.09421741962432861,
0.4175247251987457,
-0.6428414583206177,
0.2123117744922638,
... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Example: For four years we have waited expe... | Solution: Camilla Lawrence | 5 | NIv2 | task339_record_answer_generation | fs_opt | [
-0.2771807312965393,
0.7932693958282471,
-0.2922590374946594,
-0.07476282864809036,
-0.010463534854352474,
0.39519160985946655,
-0.11489398032426834,
1.0864644050598145,
-0.40369656682014465,
0.719678521156311,
-0.02914079651236534,
0.2597501575946808,
-0.7857455015182495,
0.18163231015205... |
You are given a statement written in Gujarati. 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 .
Input: Consider Input: Statement: લીમ્બાળા (તા. સાયલા) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સૌરાષ્ટ્... | Output: ભારત
| 2 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.04970498010516167,
0.9209346771240234,
0.28853639960289,
0.10967160761356354,
0.09058502316474915,
-0.6416477560997009,
0.36370521783828735,
1.2783846855163574,
-0.8342169523239136,
0.08662360906600952,
-0.30709317326545715,
0.7332606911659241,
-0.2373606413602829,
-0.4447111487388611,
... |
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 words to turn th... | Which cells are less vulnerable to cancer?
| 1 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.750590443611145,
0.1497342586517334,
0.17450453341007233,
0.6781669855117798,
-0.527964174747467,
-1.3622584342956543,
-0.023253265768289566,
0.9249758720397949,
-0.06302697956562042,
-0.16036449372768402,
-0.8415548801422119,
0.19650158286094666,
-0.4937056303024292,
-0.2106037437915802... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Oto zdjęcie z Central Valley, z grudnia.
Output: | وهنا نرى صورة على قمة تلة في وسط وادي في ديسمبر الماضي. | 1 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.36130449175834656,
0.4087138772010803,
-0.21901419758796692,
-0.26799941062927246,
-0.20702314376831055,
0.3071383237838745,
1.4498472213745117,
-0.11826706677675247,
0.4323406219482422,
-0.4497872591018677,
-0.011518176645040512,
0.10839425027370453,
-0.43125689029693604,
0.69058680534... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
[Q]: English: "I have signed a decree on a state of war."
Hindi: "मैंने युद्ध की स्थिति... | No
| 5 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
0.07496754080057144,
-0.055391039699316025,
0.18963000178337097,
0.06054913252592087,
0.3492582440376282,
-0.03987124562263489,
-0.5545858144760132,
0.6853731274604797,
-0.09056355059146881,
-0.1400887817144394,
-0.3920881748199463,
0.3909164369106293,
0.2806301712989807,
0.032808899879455... |
Instructions: A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: گروگرام کے جی ایس ٹی کمشنر کے دفتر نے تین افراد کو جی ایس ٹی ایکٹ کے تحت جرائم کی پاداش میں گرفتار کیا
Output: | अनिल कुमार, भीकाराम और कुलदीप शर्मा को 23 जुलाई, 2019 को 14 दिनों की न्यायिक हिरासत में भेज दिया गया था। | 3 | NIv2 | task1054_pib_translation_urdu_hindi | zs_opt | [
-0.14557908475399017,
0.7818599939346313,
-0.44924187660217285,
-0.3273913860321045,
-0.07415612787008286,
-0.34304162859916687,
-0.7129429578781128,
-0.5421768426895142,
-0.32158613204956055,
-0.3142888844013214,
-0.6710939407348633,
-0.42203569412231445,
-0.07238743454217911,
-0.16494093... |
Detailed Instructions: In this task, you are given music 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.
Problem:live grausam . kenn keine einzige CD (lieber nicht....) denn... | NEG | 8 | NIv2 | task481_cls_german_music_classification | zs_opt | [
-0.4131518006324768,
0.6805472373962402,
-0.1768246442079544,
-0.15473659336566925,
0.5879940986633301,
-0.5952492356300354,
1.0821409225463867,
0.8257201313972473,
0.38717809319496155,
1.1239874362945557,
-0.5555696487426758,
-0.20162451267242432,
-0.22412583231925964,
-0.4555454850196838... |
In this task, you are given a text of news article and corresponding headline of an article. Your task is to give label "match" if headline is correct for article, otherwise give label "no".
Article: The Emmy Awards have a start time of 5:00 PM -- that is, pacific time. Headline: Renault Fluence facelift spotted
no
A... | match
| 0 | NIv2 | task1354_sent_comp_classification | fs_opt | [
-0.4665629267692566,
0.18945088982582092,
0.5508490204811096,
0.10100740194320679,
-0.3066016137599945,
0.06593913584947586,
0.14399798214435577,
0.4432624876499176,
0.09965043514966965,
0.08034860342741013,
-0.10241842269897461,
-0.2740137279033661,
-0.4945903420448303,
0.0654523521661758... |
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Example: Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clot... | Solution: a | 5 | NIv2 | task220_rocstories_title_classification | fs_opt | [
0.07012259215116501,
0.07542180269956589,
-0.2621370851993561,
-0.05908457562327385,
-0.15885227918624878,
-0.6136773824691772,
0.6507860422134399,
0.9440792798995972,
-0.1515953242778778,
0.4021642208099365,
-0.5856919884681702,
-0.10659560561180115,
-0.47207897901535034,
-0.2127508819103... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: 非常に難しいです
Student: | es muy complicado. | 6 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.1865766942501068,
0.5027337074279785,
0.6670535802841187,
-0.9152493476867676,
0.1018640547990799,
-0.4267708957195282,
-0.23879635334014893,
0.907813549041748,
0.45280078053474426,
-0.5774637460708618,
-0.3401251435279846,
-0.19379670917987823,
-0.2711254954338074,
-0.5222089290618896,... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Q: Quando desisto?
A: | ¿Cuándo me rindo? | 9 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.740262508392334,
1.298487663269043,
0.3019513189792633,
-0.7760308980941772,
-0.338162899017334,
-0.4342424273490906,
0.001039477065205574,
0.8633190393447876,
0.6744356751441956,
0.40518003702163696,
0.44575631618499756,
-0.33795642852783203,
-0.5474300384521484,
0.7337321639060974,
... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text one | 0 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.7241322994232178,
0.02750510908663273,
-0.31395190954208374,
0.10124325007200241,
-0.16606149077415466,
-0.9712375402450562,
0.27004581689834595,
0.3218590021133423,
-0.18480002880096436,
0.029700377956032753,
-0.2922300100326538,
-0.8172429203987122,
-0.7972676157951355,
0.115192733705... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Ex Input:
والآن المهمة هي أن تحركوا الأشياء.
Ex Output:
Now your task is to move objects around.
Ex Input:
جوي كووان: لدي رهاب المسرح.
Ex Output:
Joe Kowan: I have stage fright.
Ex Input:
عندما تأخذ التعليم والتكنلوجيا... | When you take education and technology, then I find in the literature that, you know, things like websites, collaborative environments — you've been listening to all that in the morning — it's always piloted first in the best schools, the best urban schools, and, according to me, biases the result.
| 1 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.32457733154296875,
0.22821131348609924,
-0.2805483043193817,
-0.3077005445957184,
-0.2151489108800888,
0.4564138650894165,
0.2182600498199463,
0.23429594933986664,
-0.007607446052134037,
-0.03035697713494301,
-0.10366825759410858,
0.636459469795227,
-0.693151593208313,
-0.25901845097541... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a 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... | C | 0 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
0.26986163854599,
0.12598595023155212,
-1.191735029220581,
0.37416934967041016,
-0.2231716513633728,
-0.38255590200424194,
0.22661611437797546,
0.8291395306587219,
-0.43600574135780334,
0.010360201820731163,
-0.4665580987930298,
0.49520954489707947,
0.038350414484739304,
0.1421267837285995... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
[EX Q]: Sentence: xname is the best place because xname is affordable and a Vietname... | cuisine[Spanish], price[expensive], location[the West Village]
| 6 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.49425894021987915,
0.2682989537715912,
-0.32639336585998535,
-0.5047081708908081,
-0.3049534559249878,
0.216837078332901,
0.746684193611145,
0.8082156181335449,
0.1855316013097763,
-0.05692059174180031,
0.7646587491035461,
-0.20753169059753418,
-0.24604158103466034,
0.01048098225146532,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
You could find the nodes, though, and then you went, and you go, "" Right, I've got to investigate these people.
Output: | ניתן למצוא את נקודות הצומת, ואז נכנסים, ובודקים, "" טוב, עליי לבדוק את האנשים האלה. | 1 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.5088925361633301,
0.008085947483778,
-0.0747033879160881,
0.12696786224842072,
-0.1621350198984146,
0.26837608218193054,
0.8128260374069214,
-0.19391576945781708,
0.6212331056594849,
0.04420282691717148,
-0.41164493560791016,
-0.5724893808364868,
-0.6616349220275879,
-0.0849647223949432... |
Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holo... | Output: gas
| 2 | NIv2 | task471_haspart_answer_generation | fs_opt | [
-0.5533449649810791,
0.670905351638794,
-0.291920930147171,
0.6926596164703369,
-0.6124979257583618,
-0.31430691480636597,
-0.5949963927268982,
0.16119924187660217,
0.5176939368247986,
-0.7046467661857605,
-0.7673220634460449,
0.3145862817764282,
-0.08274973183870316,
0.042442578822374344,... |
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Example input: Passage: Nearing London, Oliver encounters Jack Dawkins, a pickpo... | Yoko. | 3 | NIv2 | task002_quoref_answer_generation | fs_opt | [
0.9543053507804871,
0.593276858329773,
-0.30636337399482727,
-0.21792516112327576,
0.6378960609436035,
0.022157203406095505,
0.5412147045135498,
0.5523813962936401,
-0.21702171862125397,
0.3999856412410736,
-0.0943589061498642,
1.1535593271255493,
-1.0569841861724854,
0.1796494722366333,
... |
Part 1. Definition
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Part 2. Example
Coming from a xenophobic race that possesses the unique ability to pass among other species and chooses... | Singular | 7 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.1873500347137451,
0.35310542583465576,
-0.06763166189193726,
-0.20156888663768768,
-0.7177730202674866,
-0.2564150094985962,
0.8089986443519592,
-0.12149248272180557,
-0.22671261429786682,
-0.6291524767875671,
-0.5794863700866699,
0.07326769828796387,
-0.6155188083648682,
0.061298850923... |
Q: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Film à divers parcours de vie, divers personnages, chronique sociale de personnages installés et aisés dans la société londonienne qui connaissent quelques problèm... | 0 | 7 | NIv2 | task1591_allocine_classification | zs_opt | [
-0.9047946929931641,
0.8852101564407349,
0.15938059985637665,
-0.5917970538139343,
0.31160885095596313,
-0.09641650319099426,
0.006764225661754608,
0.4482386112213135,
-0.0006525006610900164,
-0.020191196352243423,
-0.1986643671989441,
-0.37388044595718384,
-0.40733060240745544,
-0.4243822... |
Detailed Instructions: 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 t... | i wish for a. wow a shoot star i wonder what i should wish for maybe a fish or maybe some mish cover in squish to eat maybe a pet bish or a nice cish to live in i cana't make up my mind ia'm run out of time ia'll just wish for a wish | 4 | NIv2 | task1711_poki_text_generation | fs_opt | [
0.05204809829592705,
1.5963945388793945,
-0.07511737942695618,
-0.4319174885749817,
-0.33587729930877686,
-0.8037152290344238,
0.5866603851318359,
0.476246178150177,
-0.11404569447040558,
-0.33247122168540955,
-0.4564189314842224,
0.18482676148414612,
-0.8290532827377319,
0.002582493005320... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose on... | High school musical is my favourite. | 0 | NIv2 | task1730_personachat_choose_next | fs_opt | [
-0.14994224905967712,
0.22241446375846863,
-0.36152416467666626,
0.10870438069105148,
-0.0769970715045929,
0.10031808912754059,
0.868969202041626,
0.17485779523849487,
-0.4706309735774994,
-0.3833947479724884,
-0.20618045330047607,
-0.38337230682373047,
-0.37129876017570496,
-0.11916213482... |
Detailed Instructions: Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Problem:There are so many errors XD
Solution: | not hate | 8 | NIv2 | task1604_ethos_text_classification | zs_opt | [
-0.34835416078567505,
0.5840606093406677,
0.27176612615585327,
0.2171332687139511,
-0.5763794779777527,
-0.8020740747451782,
0.36484554409980774,
0.7163695096969604,
0.20005396008491516,
0.0633155107498169,
0.5756086111068726,
-0.919363260269165,
-0.3037063479423523,
-0.70914626121521,
0... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Ex Input:
この病気の罹患者は死に至ると医師は言いました映画『ロレンツォのオイル』を観た方はご存じでしょうが主人公が階段を転げまわって泣きながら息子の運命を嘆き悲しむのですそれは私たちがジェネシスに対して持っていた感情と全く同じものでした
Ex Output:
He said that all people with this illness died, and if any of you have seen the film... | Steaming piles of humus.
| 1 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
-0.5930229425430298,
-0.4850003123283386,
-0.3511832654476166,
-0.26319724321365356,
-0.48362040519714355,
-1.0186917781829834,
0.2695026993751526,
1.0143142938613892,
-0.034432247281074524,
-0.24332298338413239,
-0.051705650985240936,
0.26017123460769653,
-0.07233777642250061,
0.174639105... |
Q: You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct option for the given question. Write down the answer index: 'A' or 'B'.
Sentence: John looked up and saw both the sun and moon in the sky. The sun was closer to him then the moon was. Question: Which object ap... | A | 7 | NIv2 | task1380_quarel_correct_option_generation | zs_opt | [
0.717266321182251,
0.9705393314361572,
0.03262421116232872,
-0.48195961117744446,
-0.20960396528244019,
-0.9026638269424438,
-0.10100555419921875,
1.2043803930282593,
0.5789430737495422,
0.1295802891254425,
-0.5872604846954346,
-0.06510849297046661,
-0.10163488239049911,
-0.271819353103637... |
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... | Solution: Question: For what is the whole neighbourhood waiting forward the arrival of?, Answer: Electric light | 5 | NIv2 | task182_duorc_question_generation | fs_opt | [
0.2723894715309143,
0.37312620878219604,
0.06037881597876549,
-0.24298083782196045,
0.24436715245246887,
-0.48165667057037354,
0.3804931938648224,
0.5369889736175537,
0.01594553142786026,
-0.2758449614048004,
-0.3171611726284027,
-0.14679601788520813,
-0.579617977142334,
-0.439683347940444... |
Detailed Instructions: You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Q: I got the 10x10 unit as a special on Memorial Day and moved my stuff here as part of my relocation from CA. The on site manager, Marie, is very good. She's professional and helpful. I ... | 2 stars | 9 | NIv2 | task1292_yelp_review_full_text_categorization | zs_opt | [
-0.25993895530700684,
-0.19435709714889526,
-1.1810870170593262,
0.40074628591537476,
-0.11635980010032654,
-1.0723408460617065,
-0.4070504605770111,
0.6949695348739624,
-0.5634850263595581,
0.3719997704029083,
0.7213846445083618,
0.08483070880174637,
-0.42282992601394653,
-0.3083773255348... |
Q: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a group of objects that look like old scissors', Sentence2: 'a airplane view of a big factory some people and cars'. Is the frequency of the word 'some' in two sentences equal?
A: | No | 7 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.7200723886489868,
0.7095568180084229,
-0.49160483479499817,
-0.24236690998077393,
0.03610194846987724,
-0.6377514004707336,
0.6822697520256042,
1.065405011177063,
-0.2971494197845459,
0.19746141135692596,
-0.405109703540802,
-0.0034146406687796116,
0.18057620525360107,
0.352087557315826... |
Detailed Instructions: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and... | 4, I found a blue shirt that didn't stink. | 8 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.6594228744506836,
0.9783061742782593,
-0.24513468146324158,
-0.6931027173995972,
0.27591049671173096,
0.3862660825252533,
0.4108130931854248,
0.3443065583705902,
0.11532315611839294,
-0.0015826181042939425,
-0.729568600654602,
-0.7284074425697327,
-0.3324647545814514,
-0.020381659269332... |
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Example input: Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and result in functional disabilities. A li... | A specific amyloid-β protein assembly in the brain impairs memory | 3 | NIv2 | task1586_scifact_title_generation | fs_opt | [
0.6700831055641174,
0.048515014350414276,
-0.04931683838367462,
-0.3779168725013733,
0.3659611940383911,
-0.29409345984458923,
0.3110077381134033,
1.0064228773117065,
0.382294237613678,
0.38887977600097656,
-0.015445523895323277,
0.1058521419763565,
-0.8386859893798828,
0.4503210186958313,... |
Given the task definition and input, reply with output. Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: Iyo Bogaadin kuwa sidoo kale ku dadaalaan war wanaagsan u ah kuwa dhinaca Eebahood waxaa jira noocyo kala duwan oo... | And kudos to those who strive also good news for those on the side of their Lord that there are various kinds of glory and gifts galore. And enough of the argument was the word of Allah Almighty, | 5 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
-0.6186063885688782,
1.387432336807251,
0.4562133550643921,
-0.0011606848565861583,
-0.6545387506484985,
-1.052013874053955,
-0.017116351053118706,
0.3862905204296112,
0.4194556474685669,
-1.062004804611206,
-0.5069800615310669,
0.810516357421875,
-0.9062657356262207,
0.07346892356872559,
... |
Given the task definition, example input & output, solve the new input case.
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere with... | informal | 1 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
-0.15253359079360962,
0.3896072804927826,
-0.1951005458831787,
-0.416411817073822,
0.357347309589386,
-0.2747061848640442,
0.47586411237716675,
0.7361071109771729,
-0.12884938716888428,
0.08035598695278168,
-0.5935268998146057,
-0.2862025499343872,
-0.4295359253883362,
-0.09719852358102798... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | kitchen | 0 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.10615991801023483,
0.21963585913181305,
-0.54158616065979,
-0.015988269820809364,
0.16748589277267456,
0.028617694973945618,
0.38196861743927,
0.3539467453956604,
-0.416425883769989,
0.3642679452896118,
0.304558664560318,
0.34282615780830383,
-0.14343827962875366,
-0.38521718978881836,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
[EX Q]: Eu estava maravilhada.
[EX A]: Byłam zdumiona.
[EX Q]: E dentro de um minuto, vou por este mapa em movimento.
[EX A]: I za moment, puszczę tą mapę w ruch.
[EX Q]: "" É o que quer que seja que nos comove pess... | To coś co cię porusza.
| 6 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
-0.6858066320419312,
0.8020039796829224,
-0.38847386837005615,
-0.5731470584869385,
-0.8321762084960938,
-0.7744694948196411,
0.714868426322937,
-0.32317087054252625,
0.19266551733016968,
-0.36479029059410095,
-0.33046022057533264,
0.15902641415596008,
0.06754345446825027,
-0.1689080595970... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Ex Input:
['9853', 'n', 'E', '9419', '575', '2089']
Ex Output:
4
Ex Input:
['m... | 24
| 1 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
0.05584849789738655,
-0.19873356819152832,
-0.3121798038482666,
-0.08546064794063568,
-0.09576734900474548,
-0.8172119855880737,
0.6520546674728394,
0.4286954402923584,
-0.883819580078125,
0.5801993012428284,
-0.7350375652313232,
0.4542892277240753,
-0.10884442925453186,
0.3026838898658752... |
Teacher: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Article: australia 's current ... | yes | 2 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.6510345339775085,
-0.081462562084198,
-0.12235583364963531,
-0.14056016504764557,
-0.24779200553894043,
-0.3505847454071045,
-0.13288521766662598,
0.8603244423866272,
-0.07665404677391052,
0.15093496441841125,
-0.05887986719608307,
0.3214521110057831,
-0.6423419713973999,
0.069837771356... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_... | 1 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.29499876499176025,
0.033467505127191544,
-0.04735969752073288,
0.07115578651428223,
0.4854252338409424,
-0.4478886127471924,
0.5946519374847412,
1.203443169593811,
-0.6007296442985535,
0.27343782782554626,
0.03573266416788101,
-0.3763270378112793,
-0.26781967282295227,
-0.102149479091167... |
instruction:
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
question:
वाया पैनिको से दूर रहो!
answer:
Stay out of the Via Panico!
question:
विश्वास नहीं होता बाहर कितनी तेजी से चीजें चलती हैं.
answer:... | But then, in the spring of 1949, the powers that be decided that...
| 9 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.30918553471565247,
0.772019624710083,
0.3047802448272705,
0.050287146121263504,
-0.22356568276882172,
-1.2807464599609375,
0.23649610579013824,
0.5720428228378296,
-0.23384234309196472,
-0.18593040108680725,
-0.6732087731361389,
0.2428896129131317,
-0.715584933757782,
0.3316836059093475... |
Detailed Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Q: (CNN) Russia said ... | (F) | 9 | NIv2 | task302_record_classification | zs_opt | [
0.9853493571281433,
-0.0904768630862236,
0.07260265946388245,
-0.7697286605834961,
0.40142786502838135,
0.2712518870830536,
0.5878089070320129,
1.1761739253997803,
-0.24446320533752441,
0.6323939561843872,
-0.11682725697755814,
0.6732747554779053,
-0.5680791139602661,
0.7576776146888733,
... |
Detailed 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.
Q: Gelungener Spagat zwischen Theologie und Unterhaltung . Es gibt e... | POS | 9 | NIv2 | task479_cls_german_books_classification | zs_opt | [
-0.4096328318119049,
0.10919071733951569,
-0.5597827434539795,
-0.010379296727478504,
0.46519994735717773,
-0.44753244519233704,
0.9292612671852112,
0.6997541189193726,
0.3446667790412903,
0.8227728605270386,
-0.5038299560546875,
-0.09421569108963013,
-0.1433137059211731,
-0.08851458132266... |
Detailed Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: Usaha untuk menjalankan sistem tanda bahaya menyerupai yang dikoordinasi oleh Pasific Tsunami Warning ... | PacificTsunamiWarningCenterinHawaiiが取りまとめをしているものと似た警報システムを実施するための努力は、多数の重要な成果を上げてきました。 | 9 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
0.6271872520446777,
0.16621774435043335,
-0.25444501638412476,
-0.4411333501338959,
-0.2511979043483734,
-1.078329086303711,
0.5569643974304199,
-0.2704296112060547,
-0.7326605916023254,
-0.20199957489967346,
-0.2485540807247162,
0.2483644038438797,
-0.6280837655067444,
0.711837887763977,
... |
Detailed Instructions: In this task, you have to generate the title of the recipe given its required ingredients and directions.
See one example below:
Problem: ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspoon ground cayenne pepper', '1/4 teaspoon salt'... | Sheepy Cookies (Or Sugar Cookie Dough To Shape As You Wish) | 4 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.8294386863708496,
0.3995240330696106,
-0.3719727694988251,
0.8846465945243835,
0.17193570733070374,
-0.5139718651771545,
0.8019412755966187,
1.2443780899047852,
-0.4977259337902069,
-0.12913545966148376,
-0.2377016544342041,
0.2760808765888214,
-0.24955512583255768,
0.18933920562267303,
... |
Teacher:In this task, you need to count the number of nouns/verbs in the given sentence.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'Group of people walking through a city side walk with vending machines'. Count the number of nouns in this sentence.
Student: | 5 | 6 | NIv2 | task155_count_nouns_verbs | zs_opt | [
-0.3673337399959564,
1.0192034244537354,
-0.3679758310317993,
-0.1456613540649414,
-0.45119988918304443,
-0.38443562388420105,
-0.25683942437171936,
0.8218725919723511,
-0.03424923121929169,
0.32565250992774963,
-0.30610913038253784,
-0.6978335380554199,
-0.48089057207107544,
0.10538096725... |
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 respective positions in t... | ltUbenstuxuuowOn, kxnobenstuxqfW
****
| 4 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.5189034938812256,
0.5121667981147766,
-0.1449412703514099,
0.2795294225215912,
0.2728193998336792,
-0.23662257194519043,
0.6681625247001648,
0.6976455450057983,
-0.43139979243278503,
0.32145562767982483,
-0.5586454272270203,
-0.9670072197914124,
0.010602816008031368,
-0.11005397886037827... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
what latitude is tropic of cancer, Answer: It currently ... | No | 0 | NIv2 | task1294_wiki_qa_answer_verification | fs_opt | [
-0.27152037620544434,
-0.3987371325492859,
-0.11516928672790527,
-0.5540834069252014,
-0.11753997206687927,
-1.053351879119873,
0.6806711554527283,
0.2199915647506714,
-0.10796281695365906,
0.46727776527404785,
-0.258318156003952,
-0.17784921824932098,
-0.7418676018714905,
0.29161733388900... |
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