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 |
|---|---|---|---|---|---|---|
A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
One example: ये मेरे देश के मतदाताओं की ताकत है।
Solution is here: हे माझ्या देशाच्या मतदारांची शक्ती आहे.
Explanation: Correct translation for given sentenc... | जे ई प्रवण 231 जिल्ह्यांपैकी 216 जिल्ह्यात 1 ते 15 वयोगटातल्या मुलांचे, जे ई लसीकरण अभियान पूर्ण | 6 | NIv2 | task1081_pib_translation_hindi_marathi | fs_opt | [
0.30902838706970215,
0.7037038803100586,
0.2413754165172577,
0.003992031794041395,
0.15106961131095886,
-1.4153934717178345,
0.6838124394416809,
0.7531489133834839,
-0.8694160580635071,
0.03109411522746086,
-0.43995431065559387,
-0.25226470828056335,
-0.33267074823379517,
-0.15687790513038... |
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... | aDaabfjnpRkWp, xLcTjabfjnpiHSNtw
| 1 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
-0.06777577847242355,
0.4393012523651123,
-0.015010748989880085,
0.09402912110090256,
0.06957665830850601,
0.25164514780044556,
0.3889947831630707,
0.09456773847341537,
-0.2122698426246643,
0.1725526601076126,
-1.1157692670822144,
-0.6357641220092773,
0.0005861751269549131,
-0.294020295143... |
Given the task definition and input, reply with output. The provided file includes inquiries about restaurants in Japanese, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of... | show me " japanese " restaurants . | 5 | NIv2 | task262_spl_translation_ja_en | zs_opt | [
-0.4129112958908081,
0.4037266671657562,
0.15228644013404846,
0.024950411170721054,
-0.0069330488331615925,
-0.5748512148857117,
0.5856997966766357,
0.6749025583267212,
-0.3943195343017578,
-0.5590840578079224,
0.5969580411911011,
0.3479597270488739,
-0.5058597922325134,
0.5164110064506531... |
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
On... | Heroin .. pours across our southern borders. | 9 | NIv2 | task1368_healthfact_sentence_generation | fs_opt | [
0.9904937148094177,
0.45092397928237915,
-0.03052336350083351,
-0.059525180608034134,
0.6555607318878174,
-0.32461869716644287,
0.033286284655332565,
1.3955820798873901,
-0.3323037624359131,
0.10877333581447601,
-0.654976487159729,
0.5777125358581543,
-0.2424560934305191,
0.179564207792282... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Q: 弾丸がこの方の脊椎の横に留まっているのが見えます
A: | Tutaj można zobaczyć kulę, która utknęła tuż przy kręgosłupie tej osoby. | 4 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
0.06177596002817154,
0.8746470808982849,
0.21974849700927734,
-0.7793710231781006,
0.01189854834228754,
-1.0028867721557617,
1.2300761938095093,
0.20638000965118408,
0.5865540504455566,
0.0753512978553772,
0.40667620301246643,
0.6056605577468872,
-0.8454008102416992,
0.8265554904937744,
... |
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 | fs_opt | [
-0.8910349607467651,
0.46726760268211365,
0.1436598151922226,
-0.7641259431838989,
-0.09175050258636475,
0.39259910583496094,
0.3141043782234192,
0.6005373001098633,
0.5224736928939819,
0.1183505654335022,
-0.5668388605117798,
0.03817401081323624,
-0.7373040318489075,
-0.01971704512834549,... |
Instructions: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: find the annual income derived by investing $ 6800 in 40 % stock at 136 .
Options: a ) 550 , b ) 2000 ... | b | 3 | NIv2 | task1419_mathqa_gain | zs_opt | [
-0.10078058391809464,
0.667156457901001,
-0.22766435146331787,
0.007915247231721878,
-0.4650370180606842,
-0.24110738933086395,
0.3935476243495941,
0.8239266872406006,
0.2525082528591156,
0.20754365622997284,
-0.7161823511123657,
0.023921456187963486,
-0.9613118171691895,
-0.37941950559616... |
Instructions: In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a ... | The tournament , starting on August 26 , also includes India <B-LOC> and Zimbabwe <B-LOC> . | 3 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.32621318101882935,
0.2602013647556305,
-0.23100993037223816,
0.09349779784679413,
-0.2050420343875885,
0.09768316149711609,
0.8296256065368652,
-0.2559509873390198,
-0.7012420296669006,
-0.5831173658370972,
-0.7106184959411621,
0.1731913834810257,
-0.4323222041130066,
0.1744162738323211... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | VBD | 9 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.48650774359703064,
0.8953443765640259,
-0.4175042510032654,
0.003926025237888098,
0.1221650019288063,
-0.7952269315719604,
0.6705881357192993,
0.5332168340682983,
-0.6740179061889648,
0.11368092149496078,
-0.037156738340854645,
0.45009154081344604,
-0.3076986074447632,
0.1007150560617446... |
Detailed Instructions: You are given a science question (hard-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'. The... | C | 9 | NIv2 | task229_arc_answer_generation_hard | zs_opt | [
-0.13796335458755493,
0.26788973808288574,
-1.2689340114593506,
-1.1575686931610107,
-0.08836057782173157,
-0.8302100896835327,
1.1431939601898193,
0.10065895318984985,
0.768419623374939,
-0.08261877298355103,
-0.3841325640678406,
-0.7531087398529053,
-0.1735074669122696,
0.350833415985107... |
Teacher: In this task, you will be presented with a question having multiple possible answers in Swahili language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Teacher: Now, understand the problem? If you are still confused, see the following examp... | A | 2 | NIv2 | task1144_xcsr_sw_commonsense_mc_classification | fs_opt | [
0.03651554137468338,
0.610652506351471,
-0.0577080175280571,
-0.2923179268836975,
-0.6312626004219055,
-0.9689129590988159,
0.8248193264007568,
0.9639564752578735,
0.45863181352615356,
-0.3770556151866913,
-0.1285899579524994,
0.35175758600234985,
-0.12299777567386627,
-0.5897940993309021,... |
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 lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up th... | [-31, 142, -206, 179, -106, 108, -105, -89, -74] | 1 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.11383941769599915,
-0.32747262716293335,
-0.4592097997665405,
-0.23633597791194916,
0.3125964403152466,
-0.19233785569667816,
0.7019697427749634,
0.5827882885932922,
-0.36140012741088867,
0.029973069205880165,
-0.5603234767913818,
-0.06476317346096039,
-0.21212686598300934,
-0.1921865344... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the Japanese 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... | "And now, at the time when an American president declares these principles and promotes them, an Israeli PM comes along and does the exact opposite." | 1 | NIv2 | task436_alt_ja_en_translation | fs_opt | [
0.22822438180446625,
0.6454000473022461,
-0.12893298268318176,
0.4778660535812378,
-0.0012284028343856335,
-0.20920497179031372,
-0.06987737119197845,
0.37116020917892456,
0.4249574542045593,
-0.5535285472869873,
-0.34484049677848816,
0.27162039279937744,
0.03108009696006775,
-0.3352841734... |
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're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
... | A View of the Literature The most influential articles in critical care medicine ☆ | 0 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.24738074839115143,
0.35050785541534424,
-0.3706873953342438,
0.38559630513191223,
0.9352794885635376,
0.12172576785087585,
0.32525715231895447,
0.86161208152771,
-0.5016528367996216,
0.8883763551712036,
0.019939687103033066,
0.9109163880348206,
-0.18657343089580536,
0.6161248683929443,
... |
Q: In this task, you have to generate the title of the recipe given its required ingredients and directions.
ingredients: '2 lb. ground beef', '1 1/2 C. ketchup', '1/2 C. chopped onion', '1/2 C. celery', '1/2 C. brown sugar', '1/2 C. vinegar', '2 Tbsp. mustard',<sep> directions: 'Brown beef in skillet, stirring often.... | Sloppy Joes | 7 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.2632548213005066,
0.6382778882980347,
-0.21511316299438477,
0.35180389881134033,
-0.022342229261994362,
0.01925763674080372,
0.3093206286430359,
-0.11758512258529663,
0.007439223118126392,
-0.07454617321491241,
-0.2630540728569031,
0.10006660223007202,
-0.3744870126247406,
0.592560410499... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
[EX Q]: I was expecting a very high quality coffee but this wasn't quite it. It's a lot stronger than I was exp... | It's sugar..
| 6 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.0018644179217517376,
0.19242729246616364,
-0.05121222510933876,
-0.6374543905258179,
0.15553349256515503,
-0.5253051519393921,
0.2837810516357422,
0.7718992233276367,
-0.03839829936623573,
0.07506971806287766,
0.21839725971221924,
0.25234702229499817,
-0.4383277893066406,
-0.25041508674... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, G... | Geopolitical | 9 | NIv2 | task1494_bengali_hate_speech_classification | zs_opt | [
-0.8935675621032715,
0.36150115728378296,
0.16986244916915894,
0.4903692305088043,
-0.5548416972160339,
-0.6685190796852112,
0.6666651964187622,
0.10272761434316635,
-0.23844775557518005,
-0.17655356228351593,
-0.5768656730651855,
0.4586388170719147,
-0.1340979039669037,
-0.312747657299041... |
TASK DEFINITION: In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
PROBLEM: Problem: the sector of a circle has radius of 21 cm and central angle 180 o . find its perimeter ?
Options: a ) 91.5 , b ) 92 , c ) 108 , d ) 94 , e ) 95... | b
| 8 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.11089006066322327,
0.28035151958465576,
-0.13708803057670593,
-0.3269193768501282,
-0.41044852137565613,
-0.13584887981414795,
-0.34290361404418945,
0.13714531064033508,
-0.3426365852355957,
-0.07596185803413391,
-0.9168521165847778,
0.17727188766002655,
0.17373979091644287,
-0.278489291... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Let me give you an example: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिर... | Certain words or phrases held unparliamentary and expunged by the Presiding Officer or portions ' not recorded ' under his orders are not included in the official record of the proceed ings . | 8 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
0.18837083876132965,
0.1544855386018753,
0.3410932123661041,
0.24868066608905792,
0.5556764006614685,
-0.2050057351589203,
-0.5005557537078857,
0.6764424443244934,
0.3985240161418915,
-0.14749348163604736,
-0.6592655181884766,
-0.5971764326095581,
-0.6393685340881348,
0.12748205661773682,
... |
Definition: 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.
... | [193, 183] | 2 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.29712384939193726,
0.44090068340301514,
-0.5036368370056152,
-0.5432467460632324,
0.45072102546691895,
-0.2701396942138672,
0.5641276836395264,
0.3553552031517029,
-0.1242610439658165,
0.5438793301582336,
-0.8188809156417847,
0.23318472504615784,
-0.18627360463142395,
-0.225685968995094... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Problem:でも私たちの研究は教育やリハビリに対する影響でビデオゲームで長時間遊ぶ方々の能力についてはあまり興味はないのです
Solution: | Chodzi o edukację i rehabilitację, więc nie interesuje nas to, jak spisują się gracze, którzy z własnej woli godzinami grają w gry wideo. | 8 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.04609111696481705,
0.29062899947166443,
-0.8156927227973938,
-0.3559718728065491,
-0.771670937538147,
-0.744544506072998,
0.5893079042434692,
0.030763983726501465,
-0.5268272757530212,
-1.0050551891326904,
0.12265429645776749,
-0.12582328915596008,
-0.525202751159668,
-0.334172308444976... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
One example: Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intellect, though he works as... | Answer: Red Pollard | 6 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.16511616110801697,
0.317368745803833,
-0.43099215626716614,
-0.35054177045822144,
-0.055229365825653076,
0.3789442777633667,
0.8645079731941223,
1.0495502948760986,
0.014687448740005493,
-0.23387029767036438,
-0.5610542893409729,
0.15423902869224548,
-0.24530042707920074,
-0.217443525791... |
Teacher: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing ... | Keep onions in hanging sock. | 2 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.6325008869171143,
0.3410044014453888,
-0.9472731947898865,
-0.01108269952237606,
-0.022831767797470093,
-0.8613293170928955,
0.5781387090682983,
0.9688445329666138,
-0.5426102876663208,
0.15367376804351807,
0.4242206811904907,
0.29714810848236084,
-0.3636763393878937,
-0.2276679575443267... |
instruction:
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 .
question:
Statement: ইসলামিক সিরিয়ার রাজধানী হিসেবে দামেস্ককে নির্বাচিত করা হয়। শহর অধিকার করা মুস... | ঢাকা
| 9 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.0824703574180603,
0.5855401754379272,
-0.1834886521100998,
-0.24141861498355865,
0.07100853323936462,
-0.1377805769443512,
0.647162139415741,
0.8297393321990967,
0.39689087867736816,
0.9041967391967773,
-0.26977822184562683,
0.7308193445205688,
-1.1598784923553467,
-0.3000023365020752,
... |
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 not consider any other information that is not provided in the passage while... | True | 3 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.5158785581588745,
0.07094797492027283,
-0.5618469715118408,
0.1056811511516571,
0.13334135711193085,
-0.2027665078639984,
-0.14051657915115356,
0.7002489566802979,
0.25838127732276917,
0.3918221592903137,
-0.7365944385528564,
0.5931622982025146,
-0.5199648141860962,
0.09856433421373367,
... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
במהלך הסקי בטיול הראשון, היו לי שתי סירטוני וידיאו דימיוניים שחזרו שוב ושוב בראשי כאשר הדרך היתה קשה, רק בכדי לשמור על המוטיבציה.
| Esquiando a lo largo de aquel viaje, había dos videoclips imaginarios que se repetían en mi cerebro una y otra vez, para mantener mi nivel de motivación, cuando las cosas se ponían feas. | 5 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-1.1795570850372314,
0.5525113344192505,
-0.13719359040260315,
-0.12300075590610504,
-0.39139413833618164,
0.22453129291534424,
0.09342779219150543,
0.5901389718055725,
0.5917065143585205,
-0.8726382255554199,
0.050490498542785645,
0.06625811755657196,
-0.6013408899307251,
-0.2326798588037... |
Detailed Instructions: The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Q: PersonX puts the ___ to death
A... | powerful | 9 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
0.16047795116901398,
0.739986777305603,
0.1113780289888382,
-0.6268131732940674,
-0.889293909072876,
-1.0192334651947021,
1.4406588077545166,
0.7948653697967529,
0.1787470281124115,
-0.1737581491470337,
0.06207926943898201,
-0.062876395881176,
-0.1998428851366043,
0.8676844239234924,
0.8... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Problem:Se callar é máis serio cas caricaturas editoriais.
Solution: | This is more serious than maybe editorial cartooning. | 8 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.7485500574111938,
0.7577528953552246,
0.5320761799812317,
-0.7477871179580688,
0.019198093563318253,
0.15020069479942322,
0.04844275489449501,
0.8062620162963867,
-0.3319183588027954,
-0.341765433549881,
0.02024456113576889,
-0.2506040632724762,
-0.534802258014679,
0.651488184928894,
... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using prono... | The Schnauzer is jumping over a puddle at the lake | 6 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-1.0336488485336304,
0.8037835955619812,
0.1525133103132248,
-0.8489034175872803,
0.07224966585636139,
-0.6078217029571533,
-0.7426353693008423,
1.168562889099121,
0.09973502159118652,
-0.5729990005493164,
-0.2930724322795868,
-0.31321364641189575,
-0.42252129316329956,
-0.4183518886566162... |
instruction:
Given a sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabil... | « إن » ما « هي » أي الورق « إلا من نطفة ».
| 9 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
0.060213103890419006,
0.3172301650047302,
-0.19409450888633728,
-0.9424532651901245,
0.1506943702697754,
-0.04689702019095421,
0.7087387442588806,
0.8138107061386108,
0.4325195848941803,
-0.1568523645401001,
-0.5650848746299744,
0.30034559965133667,
-0.8225033283233643,
0.36503177881240845... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Article: LONDON ( Reuters)-- Ecotouris... | No | 0 | NIv2 | task310_race_classification | zs_opt | [
0.30297136306762695,
0.030397329479455948,
-0.7827300429344177,
0.20260387659072876,
0.03573555126786232,
-0.5082809329032898,
0.5068255066871643,
0.8571934700012207,
-0.8677726984024048,
-0.22327744960784912,
0.02741912007331848,
0.6611558198928833,
-0.7561935186386108,
-0.013276631012558... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
--------
Question: And then the model makes predictions down the road.
Answer: و سپس مدل کامپیوتری پیش بینی هاشو در ادامه مسیر انجام میده ،
Question: Ladies and gentlemen, I'd like to end before time.
Answer: خانم ها و ... | ازش خواستم که حرفای منو ترجمه کنه.
| 7 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.8352566957473755,
0.021555475890636444,
0.0005032458575442433,
-0.030852211639285088,
-0.3036656677722931,
0.12367504835128784,
0.41580674052238464,
0.4853553771972656,
0.4958549737930298,
0.2593497931957245,
-0.6140967607498169,
0.1465773731470108,
0.6996269226074219,
0.227807015180587... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
One example: A herd of sheep standing together grazing ... | Gujarati | 6 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-0.5502867102622986,
0.16989262402057648,
0.5197815895080566,
-0.2509738802909851,
-0.15925735235214233,
-0.6760877966880798,
-0.2187003493309021,
-0.2061864137649536,
-0.1836988925933838,
-0.9119235277175903,
-0.7263579368591309,
0.24255982041358948,
-0.19215013086795807,
-0.1474040299654... |
In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label... | not
| 6 | NIv2 | task386_semeval_2018_task3_irony_detection | fs_opt | [
-1.0759170055389404,
0.5028743743896484,
0.5804218053817749,
0.09883509576320648,
-0.5095695853233337,
0.15488752722740173,
0.6105600595474243,
-0.1510249376296997,
0.843024492263794,
-0.026723729446530342,
-0.8541979789733887,
0.027671584859490395,
-0.4732224941253662,
-0.4688525795936584... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
--------
Question: I don't want any of this.
Answer: لا أريد أي من ذلك
Question: The sad part is, he wasn't always evil.
Answer: اوتعلمون الشئ الحزين أنه لم يكن دائما شرير
Question: Can I ask you something?
An... | أيمكنني أن أسألك سؤالاً؟
| 7 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
-0.220620796084404,
0.6716790199279785,
0.053597815334796906,
-0.5913383960723877,
-0.20125922560691833,
-0.26434803009033203,
0.876164436340332,
0.1692763715982437,
-0.031424492597579956,
-0.15488585829734802,
-0.5210320949554443,
0.08069655299186707,
-1.2256689071655273,
0.22026991844177... |
TASK DEFINITION: A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
PROBLEM: Text: Ainsi, pour surmonter la restriction de taille, exFat entré en image.
SOLUTION: French
PROBLEM: Text: 12:17 And David went out to meet them... | Tagalog
| 8 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.856465220451355,
0.38334423303604126,
0.2731328010559082,
-0.6487646698951721,
-0.002829202450811863,
0.2594761550426483,
0.8250327110290527,
0.273571252822876,
0.7964878082275391,
-0.1276298612356186,
0.03041527234017849,
0.14292702078819275,
-0.7833547592163086,
-0.18084777891635895,
... |
This task is about translating a given Spanish language sentence to English.
Ex Input:
Días de pruebas paraguas de la Unión un mil Príncipe de clase tranquila
Ex Output:
Days for evidence umbrella for the Union one thousand Prince of quiet class
Ex Input:
Pero en cambio, puede cuidar a los jovencitos, y quizás cont... | And you let her go
| 1 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.7000160217285156,
0.5814604759216309,
-0.09713654220104218,
-0.3708944320678711,
-0.5107117891311646,
-1.639233112335205,
0.30114036798477173,
1.1328434944152832,
0.22409994900226593,
-0.45009350776672363,
-0.6195321083068848,
0.6045578122138977,
-0.16348063945770264,
-0.010842489078640... |
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 two
| 6 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
0.1121332198381424,
0.4896484315395355,
-0.4716936945915222,
0.1138828843832016,
0.46268895268440247,
-0.4048002362251282,
0.46495330333709717,
1.2588214874267578,
-0.17667484283447266,
0.0011220809537917376,
-0.184644415974617,
0.26279416680336,
-0.8086473941802979,
-0.0001252801157534122... |
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 as t... | look opposite left and walk opposite right thrice | 2 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.4645378887653351,
0.4943862855434418,
-0.6084872484207153,
0.09901360422372818,
0.015773320570588112,
0.16474127769470215,
0.2990022897720337,
0.6209652423858643,
0.11624390631914139,
-0.12044500559568405,
-0.6107178926467896,
-0.41583842039108276,
-0.7414360046386719,
-0.036577913910150... |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. Wh... | Output: Where does this situation likely take place at ?
| 2 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.8177911043167114,
0.4046868085861206,
-0.5458266735076904,
0.4479213058948517,
0.11365955322980881,
-0.13968729972839355,
0.06047225743532181,
0.7985022068023682,
0.21433821320533752,
0.1052905023097992,
-0.3900274634361267,
-0.18674534559249878,
-0.5259450674057007,
0.31287074089050293,... |
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... | 278079179739 | 4 | NIv2 | task1443_string_to_number | zs_opt | [
-0.9218939542770386,
1.4217605590820312,
-0.3558228313922882,
-1.0892313718795776,
-0.48023927211761475,
-0.4367857873439789,
0.7724640369415283,
0.23059657216072083,
0.06254582852125168,
-0.3033139109611511,
-0.32171431183815,
0.7995893359184265,
-1.0133144855499268,
-0.08850336074829102,... |
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.
Ex Input:
['5607', 'O', '9475', '793', '2793', '2957', 'T', 'l', '8137', 'b', 'c']
Ex Output:
5607, 9475, 793, 2793, 2957, 8137
Ex Input:
['E', 'q', 't', 's', '... | 3705, 2349, 439, 4559, 2315, 3805
| 1 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.2907273769378662,
0.49447599053382874,
-0.8094595670700073,
-0.08513720333576202,
-0.14412051439285278,
-0.29428815841674805,
-0.03520764037966728,
-0.19845202565193176,
-0.17148885130882263,
0.5101625919342041,
-0.909004807472229,
-0.1516384780406952,
0.4636259973049164,
0.186073318123... |
Detailed Instructions: 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: According to Title VII of the Civil Rights Act of 1964,... | Yes | 9 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
0.034456610679626465,
0.47691428661346436,
0.7654690146446228,
0.28250572085380554,
0.17273254692554474,
-1.2511838674545288,
0.19135457277297974,
0.45992469787597656,
0.3359069228172302,
-0.38016945123672485,
0.3095244765281677,
-0.4585206210613251,
-0.010626863688230515,
0.08060085773468... |
Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Input: Question: What is the ... | He became physician in ordinary to Charles II, and owned the lands of St Leonard's Forest in Sussex, including that part which became Leonardslee | 3 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
-0.10009869933128357,
0.8236340284347534,
-0.6956104040145874,
-0.35882601141929626,
0.42320337891578674,
-1.399651050567627,
-0.034923262894153595,
0.38434669375419617,
0.5359407663345337,
-0.36451366543769836,
-0.45730698108673096,
0.9548309445381165,
-0.2741440534591675,
0.2676372528076... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Je bent geweldig om een haai in zee te vinden. | 3 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.5079708099365234,
0.6426632404327393,
-0.2567477822303772,
-0.32507196068763733,
-0.03363906964659691,
-0.8564635515213013,
0.11091779172420502,
0.31735432147979736,
0.37756240367889404,
-0.30832213163375854,
-0.9492291212081909,
0.4822501838207245,
-0.6252635717391968,
0.31321078538894... |
Instructions: 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, teleph... | N | 3 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.358924388885498,
0.22746849060058594,
0.09810946881771088,
-0.26463255286216736,
-0.1795576512813568,
0.6836453676223755,
0.4898960292339325,
0.6135435700416565,
0.23929712176322937,
0.2315521538257599,
-0.5546592473983765,
0.14207810163497925,
-0.7338765859603882,
-0.4120354950428009,
... |
Given the task definition and input, reply with output. 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 .
Statement: જાફરાબાદ (તા. તારાપુર) <MASK> દેશના પશ્ચિમ ભા... | ભારત | 5 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
-0.1913231462240219,
0.9354288578033447,
0.2235696017742157,
-0.043437160551548004,
-0.30458515882492065,
0.3685620129108429,
-0.10496382415294647,
0.8020658493041992,
-0.21174822747707367,
-0.2058788388967514,
-0.7365288138389587,
0.14656886458396912,
-0.9080228805541992,
-0.1942899227142... |
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person.... | No
| 7 | NIv2 | task632_dbpedia_14_classification | fs_opt | [
0.5502034425735474,
-0.24867363274097443,
-0.3405369520187378,
0.45945310592651367,
0.7056465148925781,
-1.5154500007629395,
0.10304971039295197,
0.08023124933242798,
-0.18374384939670563,
0.20777805149555206,
-0.5172743797302246,
0.8847734928131104,
0.07354487478733063,
0.3260316848754883... |
Given the task definition, example input & output, solve the new input case.
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 s... | Unrelated | 1 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.09624703228473663,
0.31050676107406616,
-0.2556362450122833,
0.1437796652317047,
-0.10840678215026855,
-0.25131070613861084,
-0.15261021256446838,
1.1039576530456543,
0.5229172706604004,
-0.19328957796096802,
-0.7952561378479004,
0.02135457471013069,
-0.19473454356193542,
-0.547983884811... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Problem:Ma pretendiamo troppo dai nostri ospedali.
Solution: | しかし私たちは病院に求めすぎです | 8 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
0.037870679050683975,
0.4311715066432953,
-0.20234210789203644,
0.310661256313324,
-0.5224022269248962,
-0.9125480651855469,
-0.053056009113788605,
0.8053808212280273,
-0.42269206047058105,
-0.6653138399124146,
-0.6938424706459045,
0.30216166377067566,
-0.5359614491462708,
0.70442038774490... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
[EX Q]: Porque isso não é o que nós fazemos.
[EX A]: Porque isto non é o que facemos.
[EX Q]: Temos de encontrar o passo certo para bloquear e criar um medicamento que o faça.
[EX A]: Temos que dar co paso que cómp... | (aplausos) Así que en sete anos de investigación nuclear, comecei co soño de facer unha estrela no meu garaxe, e rematei coñecendo ó presidente e fabricando cousas que penso que poden cambiar o mundo. E penso que outros rapaces tamén poden.
| 6 | NIv2 | task1279_ted_translation_pt_gl | fs_opt | [
-0.07132621109485626,
1.4964449405670166,
0.24738629162311554,
-0.9395793676376343,
-0.3343784809112549,
-1.5963985919952393,
0.34201234579086304,
0.7082431316375732,
0.3873125910758972,
-0.021449949592351913,
-0.26635169982910156,
0.22472430765628815,
-0.477993369102478,
0.077688373625278... |
Detailed Instructions: In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Q: 2671 + 3943 - 5777 + 7680
A: | -3175 | 9 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.17374590039253235,
0.2198154628276825,
-0.9703971147537231,
0.13281497359275818,
-0.3970334231853485,
0.0433100201189518,
0.6853498220443726,
1.0711628198623657,
0.6085134744644165,
-0.38169434666633606,
-0.30631738901138306,
-0.48536917567253113,
-0.6089824438095093,
0.4120615720748901... |
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.
Q: Unverwechselbar! . Heimlich sind die 17 HIPPIES auf dem Weg etwas ganz besonderes, ja et... | POS | 4 | NIv2 | task481_cls_german_music_classification | zs_opt | [
-0.7935053110122681,
0.29427075386047363,
-0.03673741966485977,
0.22925955057144165,
0.025377346202731133,
-0.5788775682449341,
1.5161775350570679,
-0.01664748042821884,
0.7257946133613586,
0.5828334093093872,
-0.4820427894592285,
0.42212027311325073,
-0.17422670125961304,
-0.7995896935462... |
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.
Let me give you an example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
The answer to this example can be: អ៊ីតាលីបានឈ្នះល... | តំបន់ត្រួតត្រាត្រូវបានគេវាយប្រហារពីរដង ម្តង នៅម៉ោង2ព្រឹកម៉ោងក្នុងតំបន់ និងមួយទៀតនៅម៉ោង4ព្រឹកម៉ោងក្នុងតំបន់។ | 8 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.08427415788173676,
0.7127385139465332,
-0.6334008574485779,
0.5221397876739502,
-0.2938370108604431,
-0.4489893913269043,
0.5359021425247192,
0.3710501194000244,
-0.02829425036907196,
-0.6131973266601562,
-0.9781017303466797,
0.8872175216674805,
-0.5265029072761536,
0.39487579464912415,... |
Q: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
In the new release of Cinema Paradiso , the tale has turned from sweet to bittersweet , and when the tears come d... | POS | 7 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.448082834482193,
0.07351639866828918,
0.4173281192779541,
-0.25442469120025635,
-0.125308558344841,
-0.7839654684066772,
0.6264896392822266,
0.6556587219238281,
0.17514508962631226,
0.3274276554584503,
-0.08095201849937439,
-0.7706160545349121,
0.6023366451263428,
0.3364933729171753,
... |
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: The FBI has questioned a Milwaukee resident said to be responsible for the thr... | No | 4 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.1687697470188141,
0.25422871112823486,
0.42592382431030273,
0.30585581064224243,
0.17276202142238617,
-0.9285666942596436,
0.8482158184051514,
0.08470086753368378,
-0.1792515069246292,
0.029213715344667435,
-0.008490076288580894,
0.6829504370689392,
-0.9045146703720093,
0.51091587543487... |
Given the task definition and input, reply with output. 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, o... | DISSIMILAR | 5 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.9738839864730835,
0.6148038506507874,
0.6882156133651733,
-0.7116222381591797,
-0.0664268359541893,
0.31753963232040405,
0.8676261901855469,
0.1858322024345398,
0.3794199228286743,
-0.2544623911380768,
-1.407351016998291,
0.38304054737091064,
-0.7126584649085999,
0.6252694129943848,
-... |
Q: 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 need to come up with a question about the story that requ... | Which fruit had a higher sugar content, apricots or quince? | 7 | NIv2 | task060_ropes_question_generation | zs_opt | [
0.16202609241008759,
0.6940999031066895,
0.014283555559813976,
-0.21592119336128235,
-0.4644455313682556,
-0.8589051961898804,
0.32935190200805664,
0.7046546936035156,
-0.47066760063171387,
-0.2396393120288849,
-0.6807743906974792,
-0.08191291987895966,
-0.8125005960464478,
0.4460937380790... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | Solution: happiness,No emotion,No emotion,No emotion,surprise,No emotion,happiness,happiness | 5 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.12548795342445374,
-0.012578019872307777,
-0.07908016443252563,
-0.165744811296463,
0.12003999948501587,
-0.2571517825126648,
0.7741610407829285,
0.28974324464797974,
-0.08174483478069305,
-0.06300514936447144,
-0.16522133350372314,
-0.6105705499649048,
-0.6868845224380493,
0.12256470322... |
Given the task definition, example input & output, solve the new input case.
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... | b | 1 | NIv2 | task1678_mathqa_answer_selection | fs_opt | [
0.37507912516593933,
0.328758180141449,
-0.17089958488941193,
0.4998296797275543,
0.3107195496559143,
0.5349843502044678,
0.7427924275398254,
0.8838180303573608,
-0.26015305519104004,
0.18334059417247772,
-0.4876921772956848,
-0.20994868874549866,
0.018106097355484962,
-0.1883947253227234,... |
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
| 0 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.06170608475804329,
-0.04038830101490021,
0.6096301078796387,
0.13989369571208954,
-0.3994181752204895,
-1.7073087692260742,
0.49394091963768005,
0.49101319909095764,
-0.7424521446228027,
-0.11250470578670502,
-0.43305015563964844,
-0.3615305721759796,
-0.43496114015579224,
0.072311252355... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Example Input: Entonces el primer ejemplo del que voy a hablar se relaciona con niños con deterioro en el aprendizaje.
Example Output: Il primo esempio del quale parlerò riguarda bambini con difficoltà di apprendimento.
E... | Per riassumere.
| 3 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.02176281064748764,
0.48780494928359985,
0.15213462710380554,
0.36383920907974243,
-0.4501200318336487,
-0.7447894811630249,
0.1349376142024994,
1.2030620574951172,
-0.2776143252849579,
-0.3641359210014343,
-0.4920528531074524,
0.6550413370132446,
0.19764754176139832,
-0.0376949496567249... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: Those who are not familiar with Cassandra Peterson's alter-ego Elvira, then this is a good place to start."Elvira, Mistress of the Dark" starts off with o... | positive | 4 | NIv2 | task284_imdb_classification | zs_opt | [
0.3271844983100891,
0.4109571576118469,
0.034536171704530716,
0.02654867246747017,
0.26166555285453796,
-0.12560677528381348,
1.3176310062408447,
0.7548104524612427,
-0.1717667281627655,
-0.26508235931396484,
0.166299968957901,
0.2911859452724457,
-0.6387991905212402,
-0.022729791700839996... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
"" Todo o mundo que me coñecía antes do 11S cre que estou morto "". "" Adoitaba traballar cunha manda de persoas relixiosas pechadas, así que de cando en vez non lev... | "" כל מי שהכיר אותי לפני 9 / 11 מאמין שאני מת "" "" נהגתי לעבוד עם קבוצת דתיים אדוקים, אז לפעמים לא לבשתי תחתונים, רק חייכתי חיוך גדול וגיכחתי לעצמי. "" (צחוק) הבא בתור דורש הסבר קצר לפני שאני מציג לכם אותו. | 5 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-1.0267773866653442,
1.2853740453720093,
0.21664956212043762,
-0.7150906324386597,
-0.5630305409431458,
-0.8678951263427734,
0.43180400133132935,
-0.06865110993385315,
-0.012206810526549816,
0.12367536872625351,
-0.5186741352081299,
0.0840727686882019,
-0.35873717069625854,
0.0741382017731... |
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: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief ab... | green_envelope | 3 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.29464471340179443,
-0.1704418957233429,
-0.34109923243522644,
0.13224518299102783,
-0.4950488209724426,
-0.2706657648086548,
-0.021506592631340027,
0.5541940927505493,
-0.005300271790474653,
-0.18324494361877441,
-0.46329277753829956,
0.8775251507759094,
-0.006523342337459326,
-0.0195259... |
In this task, you are given a sentence in the Swedish 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: Jag förklarar debatten avslutad.
The answer to... | In that context I support calls to strengthen port state control to ensure full and effective inspection. | 8 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.3709436058998108,
0.5692020654678345,
0.6933943033218384,
-0.888268768787384,
0.06926410645246506,
-0.6216685175895691,
0.9363635778427124,
0.7823810577392578,
0.5331989526748657,
0.12778949737548828,
-0.09545039385557175,
0.8864129185676575,
-0.9161477088928223,
-0.10178114473819733,
... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Example input: Personality: I like spending time with my friends and family.
I like listenin... | No I could never do that. | 3 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.10084054619073868,
-0.1614297330379486,
-0.7642820477485657,
0.18170887231826782,
-0.1184200868010521,
-0.38149160146713257,
0.8503752946853638,
-0.026096416637301445,
-0.5111287236213684,
-0.5634963512420654,
-0.19673767685890198,
0.040755435824394226,
-0.22875721752643585,
-0.249071821... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Umsebenzi wokhuselo lwenkqubo yolwazi ezenzekelayo | Automated Information System Security Officer | 0 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | zs_opt | [
0.3658958673477173,
1.0065597295761108,
0.36879098415374756,
-0.6339243650436401,
-0.3207378387451172,
-0.9669708609580994,
0.2045537382364273,
0.4029068350791931,
0.503606915473938,
-0.3813862204551697,
-0.2879977524280548,
-0.37423527240753174,
-0.5594198107719421,
0.24481849372386932,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Will this remove the property from city taxes?
Solution: No
Why? The comment here is just... | No | 0 | NIv2 | task1721_civil_comments_obscenity_classification | fs_opt | [
-0.17137563228607178,
0.5959917306900024,
0.3320956230163574,
0.4219452738761902,
-0.09265872836112976,
-0.5647540092468262,
1.0574758052825928,
0.8391072750091553,
0.6782753467559814,
0.4268127679824829,
-0.2601853609085083,
0.17555272579193115,
-0.33663517236709595,
-0.3473709225654602,
... |
instruction:
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
question:
¿Lembran o lume?
answer:
火という字を憶えていますか ？
question:
Vouvos ensinar a fotografía dunha persoa, tan só durante un ou dous segundos, gustaríame que identificarades cal é a emoción da súa cara.
answer... | そこで提案なんですがモノとスペースを減らしてフットプリントを削減しませんか
| 9 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-1.2448855638504028,
0.6086421608924866,
0.29008233547210693,
-0.9994841814041138,
-0.28333061933517456,
-1.1746702194213867,
1.693104863166809,
-0.09916029870510101,
-0.519442081451416,
-1.1523268222808838,
-0.2351420372724533,
-0.05098164826631546,
-0.4945613741874695,
1.1897590160369873... |
Given the task definition and input, reply with output. Construct a question that every answer in the list is correct and reasonable for it.
insurance, taxes, pet licence, gym membership
| name something you pay for once a year. | 5 | NIv2 | task821_protoqa_question_generation | zs_opt | [
-0.8875619173049927,
0.7106853127479553,
-0.18705275654792786,
-0.7248551845550537,
-0.013606627471745014,
-0.7549827098846436,
0.33141186833381653,
-0.3863425552845001,
0.6894561648368835,
-0.36273449659347534,
-0.19923090934753418,
0.45213204622268677,
-0.7581835985183716,
-0.17467299103... |
Definition: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex,... | a mother who always care a mother who's always there a mother who alway's pray a mother who always stay when thing get rough and life be tough when all be just to much to bear god word she share god light shes shine so bless god make this mother mine happy mother day | 2 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.6836651563644409,
1.1519486904144287,
-0.02921537682414055,
-0.760932445526123,
-0.4021703004837036,
-0.44697141647338867,
0.019797980785369873,
0.5464208722114563,
0.4466407299041748,
-0.22031420469284058,
-0.9231002330780029,
0.5752893686294556,
-0.5782431364059448,
-0.261172592639923... |
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Input: Consider Input: This amiable picture talks tough , but it 's all bluster -- in the end it 's as sweet as Gre... | Output: POS
| 2 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.679701566696167,
0.4773136377334595,
0.4150095582008362,
0.08587723970413208,
0.37731969356536865,
-0.7475600242614746,
0.5019029974937439,
0.25138407945632935,
0.331406831741333,
0.40227848291397095,
0.1252557337284088,
-0.7925757765769958,
0.4730978012084961,
0.05775539577007294,
1.... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Let me give you an example: JkbloNUq, nYblowj
The answer to this example can be: b, j, k, l, n, o, q, u
Here is why: Here, 'Jkbl... | a, b, c, e, f, g, i, l, m, p, q, r, v, w, x, z | 8 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.12612870335578918,
1.7170631885528564,
-0.6260000467300415,
-0.844460666179657,
-0.03032170981168747,
-0.09834964573383331,
0.8251034021377563,
-0.16977202892303467,
-0.31184831261634827,
0.3761228322982788,
0.2928464710712433,
-0.2083425670862198,
-0.5658438205718994,
0.339299321174621... |
Given a sentence, 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].
Q: Verify if the sentiment of the following document towards the entity Desmond Tutu is Neutral . October 6 ... | no | 4 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-0.44364041090011597,
-0.22700510919094086,
0.8759909868240356,
-0.3061773478984833,
-0.3232191205024719,
-2.225041627883911,
0.8854395151138306,
-0.19788582623004913,
0.579838752746582,
0.590146541595459,
0.3960473835468292,
-0.14949844777584076,
-0.15779408812522888,
-0.4005984663963318,... |
Teacher: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].
Teacher: Now, understand the proble... | Jesse Lingard | 6 | NIv2 | task339_record_answer_generation | zs_opt | [
0.6999108791351318,
0.7657296657562256,
-0.5435168147087097,
0.4585067629814148,
0.49174150824546814,
-0.2615364193916321,
0.13566839694976807,
0.14411166310310364,
0.2900243401527405,
-0.13791829347610474,
0.09724468737840652,
-0.15893766283988953,
-0.37349992990493774,
-0.092956110835075... |
Given the task definition, example input & output, solve the new input case.
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the ... | jump and run right twice | 1 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.0593719519674778,
0.5889297723770142,
-0.39839303493499756,
0.37497103214263916,
-0.009414143860340118,
0.19681407511234283,
0.32463347911834717,
0.9224170446395874,
-0.32375210523605347,
-0.05420590564608574,
-0.8440873026847839,
-0.4197784960269928,
-0.5562233924865723,
-0.264012277126... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Example: Dialogue 1: 'w... | yes | 1 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.631684422492981,
0.20008419454097748,
0.15916013717651367,
-0.10017192363739014,
-0.22816309332847595,
0.8969735503196716,
0.8093908429145813,
-0.09016366302967072,
-0.2511490285396576,
-0.5461413264274597,
0.06621602922677994,
-0.25020936131477356,
-0.19223861396312714,
0.0329121388494... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
The girls continue to speak with one another while the girl knits.... | appear on the screen briefly. | 0 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
0.3036911189556122,
0.7750691175460815,
-0.33755770325660706,
0.21593593060970306,
-0.30219215154647827,
-0.09734951704740524,
-0.23465900123119354,
0.5846956968307495,
-0.20249246060848236,
0.40975701808929443,
0.059171468019485474,
-0.17587769031524658,
-0.021107248961925507,
-0.02481087... |
Instructions: 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.
Input: Passage: Following the cover up of a crash of a nuclear bomb... | the British Government. | 3 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.6808978915214539,
0.4075263738632202,
-0.21102872490882874,
0.056795693933963776,
0.10806331038475037,
-0.19771060347557068,
1.042879581451416,
0.27280324697494507,
0.6246660947799683,
0.310497522354126,
-0.8669589161872864,
0.665170431137085,
-0.8946170806884766,
0.32105106115341187,
... |
instruction:
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".
question:
Paragraph: Nasopharyngeal carcin... | True
| 9 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.20328620076179504,
-0.1092248260974884,
0.048759229481220245,
0.404997318983078,
0.7669786810874939,
-0.0012303362600505352,
1.0008220672607422,
0.8548768758773804,
0.2164822816848755,
0.3746785819530487,
-0.040513649582862854,
0.4097762107849121,
-0.4922427833080292,
0.21312755346298218... |
Q: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympatheti... | Sentence 1: The life of PersonX was more complicated than that of PersonY because _ grew up in a bad area.
Sentence 2: The life of PersonX was more complicated than that of PersonY because _ grew up in a good area. | 7 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.24067986011505127,
0.3501296043395996,
0.2824290692806244,
-0.4411987066268921,
0.25030094385147095,
-0.4632384479045868,
0.7500741481781006,
0.8208067417144775,
-0.05402028560638428,
-0.42721661925315857,
-0.2956578731536865,
-0.2220170795917511,
-0.7306811809539795,
-0.1187805682420730... |
Definition: In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be clo... | Yes. | 2 | NIv2 | task057_multirc_classify_incorrect_answer | zs_opt | [
0.47635185718536377,
0.6102393269538879,
-0.47611504793167114,
0.07617609202861786,
0.12360936403274536,
-1.0182255506515503,
0.13548138737678528,
0.8328622579574585,
0.13991370797157288,
0.2214829921722412,
-0.35866308212280273,
0.7638341784477234,
-0.18342095613479614,
0.2778299748897552... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: Tabby was one of my best friends, until the day she died. Sentence2: We left a... | I (myself), Best friends, Tabby | 1 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.06630965322256088,
0.1086835116147995,
-0.05350964143872261,
0.24096937477588654,
0.20840980112552643,
-0.29573342204093933,
0.6646118760108948,
0.7612823247909546,
0.14281904697418213,
0.2744559049606323,
-0.8840949535369873,
-0.6156337261199951,
0.2988976538181305,
0.06632217764854431,... |
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
| 3 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.31897425651550293,
0.14449989795684814,
-0.24850592017173767,
0.0967843234539032,
-0.11545979976654053,
-0.5189591646194458,
1.0280036926269531,
1.0047322511672974,
-0.5794753432273865,
-0.21494348347187042,
-0.7666304707527161,
0.04731694236397743,
-0.2711700201034546,
-0.00747493188828... |
Given the task definition and input, reply with output. 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.
... | English | 5 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.8201310634613037,
1.0020511150360107,
0.44746947288513184,
-0.6028653979301453,
-0.12159574776887894,
0.20172333717346191,
0.20269115269184113,
0.5736995935440063,
0.3252016603946686,
-0.1858929991722107,
-0.18600529432296753,
0.4466201663017273,
0.17854464054107666,
-0.3291818797588348... |
Definition: A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: अस्थायी का ठेवले?
Output: | અસ્થાયી કેમ બનાવે રાખી? | 2 | NIv2 | task984_pib_translation_marathi_gujarati | zs_opt | [
0.2177458107471466,
0.364129900932312,
0.2834956645965576,
-0.18183006346225739,
0.0037622260861098766,
-1.097334384918213,
0.7374345064163208,
-0.24120621383190155,
0.25791823863983154,
-0.42616763710975647,
-1.1191326379776,
-0.04557959735393524,
-0.7694127559661865,
0.4217548370361328,
... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
One example: Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to cover the journey ?
Options: a ) 25 m , b ) 45 m , c ) 32 m , d ) 75 m ... | a | 6 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.7217240333557129,
0.04429219290614128,
-0.36112791299819946,
-0.04078742861747742,
-0.5391544699668884,
0.35661980509757996,
0.35006144642829895,
0.4514959156513214,
0.06006032973527908,
-0.2778022289276123,
-0.6092097759246826,
-0.00678391195833683,
0.25410741567611694,
0.07523626089096... |
Q: 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.
['A', '497', 'x', '8741', '6557', '9381', 'j', '1931', '1089', 'i', '2803', 'V', 'g', '2539', 'F', '2341', '4953', 'M', '8677', '9207', '1117', '317', '4199', '3... | 497, 8741, 6557, 9381, 1931, 1089, 2803, 2539, 2341, 4953, 8677, 9207, 1117, 317, 4199, 3947 | 7 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
-0.012822043150663376,
0.3280535638332367,
-0.6734696626663208,
-0.5519033670425415,
-0.45567750930786133,
0.055113937705755234,
0.38971519470214844,
-0.023662922903895378,
0.03769657388329506,
0.16054758429527283,
-1.0314332246780396,
-0.46502813696861267,
0.027710972353816032,
0.26879167... |
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 relatum b... | mero | 0 | NIv2 | task1418_bless_semantic_relation_classification | zs_opt | [
0.23782090842723846,
0.24112780392169952,
0.5999956130981445,
0.13836431503295898,
-0.7669267654418945,
0.1802530139684677,
-0.051086485385894775,
0.09783954918384552,
-0.07366468757390976,
-0.9951726198196411,
-0.9019900560379028,
-0.21023817360401154,
-0.7382310628890991,
0.5284662246704... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Input: Consider Input: Title: Pop Tarts. Sentence 1: Ted wanted pop tarts for dinner. Sentence 2: His mom told him... | Output: She never talked to him again after that day.
| 2 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.0825304314494133,
0.7650137543678284,
0.141222283244133,
-0.00965909007936716,
-0.18170103430747986,
0.116913802921772,
0.35041606426239014,
0.6414564847946167,
-0.36327064037323,
-0.02734197862446308,
-0.7386308908462524,
-0.3555571734905243,
0.032208871096372604,
-0.3865854740142822,
... |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
L... | Inversion | 8 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.5325160026550293,
0.375457227230072,
0.5691686868667603,
0.055491648614406586,
0.029656028375029564,
-0.5999796390533447,
0.8605203032493591,
0.1620001196861267,
0.06269068270921707,
-0.5006369948387146,
-0.8964287042617798,
-0.6998788714408875,
-0.7822913527488708,
-0.1489669531583786,... |
Definition: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype i... | unrelated | 2 | NIv2 | task320_stereoset_classification_race | zs_opt | [
0.020080801099538803,
0.3830178678035736,
0.12629708647727966,
-0.10551223903894424,
-0.12916839122772217,
-0.3519916236400604,
0.6230906248092651,
0.34743160009384155,
0.6053322553634644,
-0.3376944065093994,
-0.1314428150653839,
0.19417501986026764,
-0.5753129720687866,
-0.32808983325958... |
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... | Quantity
****
| 4 | NIv2 | task1289_trec_classification | fs_opt | [
-0.21876437962055206,
0.18860752880573273,
0.25686565041542053,
-0.008536288514733315,
-0.5239043235778809,
-0.45651334524154663,
0.6450424194335938,
0.40353620052337646,
0.08849523216485977,
-0.2527186870574951,
-0.5839411616325378,
0.487557590007782,
-0.5413920879364014,
0.09845193475484... |
Q: In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list o... | [3, 5] | 7 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.2518357038497925,
-0.06352347135543823,
-0.43858253955841064,
-0.3391357362270355,
0.40284761786460876,
-0.14287054538726807,
0.5552666783332825,
0.5107086896896362,
0.18204674124717712,
0.4013119637966156,
-0.5237132906913757,
-0.4852408766746521,
-0.28709709644317627,
0.510530233383178... |
TASK DEFINITION: In this task, you are given music product reviews in Japanese 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: 新しいアルバムから聞いている人は･･･ . 彼女のヴォーカルの魅力は言わずもがなですが、 今となってはどの曲も少し古く感じられ... | POS
| 8 | NIv2 | task487_cls_japanese_music_classification | fs_opt | [
0.2723017930984497,
-0.3234516978263855,
-0.6514102220535278,
0.5525488257408142,
0.4708811044692993,
0.1872887909412384,
0.6266604065895081,
0.3219168782234192,
-0.20833611488342285,
0.41335272789001465,
-0.22054722905158997,
-0.5261064171791077,
0.06734844297170639,
-0.0955875888466835,
... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | No | 0 | NIv2 | task356_casino_classification_negotiation_self_need | zs_opt | [
-0.1380171924829483,
0.28074848651885986,
-0.39818817377090454,
-0.002981919329613447,
-0.6734097003936768,
-0.9407089352607727,
0.9942216277122498,
0.1268797665834427,
-0.475250780582428,
0.21627968549728394,
0.1794576346874237,
-0.3355709910392761,
-1.2507781982421875,
-0.140397042036056... |
instruction:
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
question:
Problem: two passenger trains start at the same hour in the day from two different stations and move towards each other at the rate of 24 kmph and 21 kmph re... | c
| 9 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.23723840713500977,
0.2425246685743332,
-0.21024073660373688,
-0.5658175945281982,
-0.22733470797538757,
-0.12402720749378204,
0.5629235506057739,
0.33351802825927734,
-0.28062254190444946,
-0.3842245638370514,
-0.9877402186393738,
0.179622083902359,
0.032565392553806305,
-0.3313260674476... |
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.
un film trop peu connu au vu de ses innombrables qualités ! Evidemment, si ça avait été un bockbuster avec lequel on nous aurait harcelé des mois à l'avance (rien qu... | 1 | 0 | NIv2 | task1591_allocine_classification | zs_opt | [
-0.6457406282424927,
0.37865006923675537,
-0.23106902837753296,
0.3441588878631592,
0.34724146127700806,
-0.51393723487854,
0.5115863084793091,
0.34950655698776245,
0.13223913311958313,
-0.22282995283603668,
-0.8087104558944702,
-0.11890704929828644,
-0.5356462001800537,
-0.331990003585815... |
Instructions: 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... | Not Funny | 3 | NIv2 | task495_semeval_headline_classification | zs_opt | [
-0.03666771948337555,
0.6571662425994873,
0.30059102177619934,
0.2911229729652405,
-0.46095848083496094,
-0.5442805290222168,
0.14333128929138184,
0.6322258710861206,
-0.015857761725783348,
-0.5543290376663208,
-0.6728471517562866,
-0.25032126903533936,
-0.47365623712539673,
0.324238568544... |
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