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 a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Teacher: Now, understand the problem? Solve this instance: Por último, res... | Spanish | 6 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
0.21816620230674744,
0.3780147433280945,
0.6855835914611816,
-0.5100164413452148,
0.18089383840560913,
-0.48672759532928467,
0.3334222435951233,
0.807628870010376,
-0.13921986520290375,
-0.05528418347239494,
-0.09825880080461502,
0.16752414405345917,
-0.38162362575531006,
-0.72051596641540... |
You will be given a definition of a task first, then some input of the task.
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)... | Mr President, Mrs Schroedter' s report undoubtedly contains several important observations, and I would like to congratulate her on that. | 1 | NIv2 | task312_europarl_sv_en_translation | zs_opt | [
-0.8699973225593567,
0.669562578201294,
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-0.168050616979599,
0.6706573963165283,
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0.8016442060470581,
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0.30341923236846924,
0.38842445611953735,
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... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
[Q]: Penelope Jagessar Chaffer: Stavo per chiedere se c'è un dottore nella sala.
[A]: פנלופה ג 'גסר שאפר: התכוונתי לשאול האם יש רופא בקהל.
[Q]: (Risate) Età: le persone dai 50 anni in su sono per il 25% più emotive dei pi... | הם יכלו לסנתז דפוסים בטבע לפי הזריחה והשקיעה של הכוכבים, הקצב והכיוון של הגלים, תבניות הטיסה של מספר ציפורים.
| 5 | NIv2 | task1251_ted_translation_it_he | fs_opt | [
-0.30439960956573486,
-0.10359273105859756,
-0.8673281073570251,
-0.20317552983760834,
-0.46344637870788574,
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0.3284924626350403,
0.0376882329583168,
0.9623584747314453,
-0.0164195466786623,
-0.4510909914970398,
0.5080972909927368,
-1.1705706119537354,
0.422389149665832... |
You will be given a definition of a task first, then some input of the task.
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.
Autoantibodies to DNA and histones (chromatin) are the defining antigen specificity in systemic lupu... | Neutrophil extracellular chromatin traps connect innate immune response to autoimmunity | 1 | NIv2 | task1586_scifact_title_generation | zs_opt | [
-0.2854318618774414,
-0.22914636135101318,
-0.17533177137374878,
0.6196797490119934,
-0.3984590172767639,
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0.9785518646240234,
-0.015477195382118225,
0.33713090419769287,
-0.6063826084136963,
0.7663772106170654,
-1.1016062498092651,
0.11577249318... |
Detailed Instructions: 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' ... | 285667859505 | 8 | NIv2 | task1443_string_to_number | zs_opt | [
-0.45422542095184326,
0.955585777759552,
-0.4070170223712921,
-1.0422718524932861,
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1.0480496883392334,
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-0.5281624794006348,
-0.6911516189575195,
0.313270628452301,
-1.0567362308502197,
-0.29867058992385864,
... |
Detailed Instructions: Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Problem:Japanese: クリスティは、「ショーが”ニュージャージーにとってネガティブである”」と明解に答えた…。
Khamer: Chrst... | Yes | 8 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.08251789957284927,
0.13004916906356812,
-0.10105809569358826,
0.010744815692305565,
0.19427445530891418,
-0.8374984264373779,
0.12753009796142578,
0.15420794486999512,
-0.21861085295677185,
0.13081412017345428,
0.015582341700792313,
0.1811654269695282,
-0.6681061387062073,
0.54740035533... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect a... | They do n't particularly like that i have an accent . | 0 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.20410607755184174,
0.584405243396759,
0.07621210068464279,
0.9274705648422241,
0.40628594160079956,
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1.12131667137146,
-0.3936915099620819,
-0.33781760931015015,
-0.49229273200035095,
-0.40454113483428955,
-0.2517300844192505,
-0.13597172498703003,... |
TASK DEFINITION: This task is about translating a given English language sentence to Yoruba language.
PROBLEM: “We might see each other again” who sells his dog for twenty cowries and spent the money on pounded yams to eat.
SOLUTION: “Ojú ò fẹ́rakù” tí ń ta ajá ẹ lókòó; ó fowó ṣíyán jẹ.
PROBLEM: In his briefing, he c... | Èyí nìgbà àkọ́kọ́ tí wọ́n máa ju Ẹlẹ́rìí Jèhófà tó jẹ́ obìnrin sí ẹ̀wọ̀n ní Rọ́ṣíà látìgbà tí Ilé Ẹjọ́ Gíga Jù Lọ ti sọ pé kí wọ́n fòfin de iṣẹ́ àwa Ẹlẹ́rìí Jèhófà.
| 8 | NIv2 | task1685_menyo20k_translation | fs_opt | [
0.15936797857284546,
0.45541322231292725,
0.0877716913819313,
-0.01056518591940403,
-0.14054934680461884,
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0.5950562953948975,
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-0.2042943239212036,
-0.4733540415763855,
0.7249772548675537,
-0.752353310585022,
0.24241414666175842,... |
Detailed Instructions: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or ... | Neither | 4 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.4603995680809021,
0.16862010955810547,
0.40737384557724,
0.24417011439800262,
-0.11275112628936768,
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0.20537009835243225,
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0.40659135580062866,
0.45176830887794495,
-0.19633647799491882,
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-1.0163042545318604,
-0.935878515243530... |
Instructions: You are given a sentence in English. Your job is to translate the English sentence into Persian.
Input: You always have to sort of adapt and improvise to the opportunities and accidents that happen, and the sort of turmoil of the world.
Output: | همیشه باید به نوعی خود را با فرصتها و حوداث و انواع اغتشاشاتی که در دنیا رخ می دهند تطابق داده و بدیهه سازی کنید. | 3 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.5698994398117065,
0.995485782623291,
0.1471480280160904,
0.19017253816127777,
-0.20676562190055847,
0.11253387480974197,
0.08237630128860474,
0.6666004657745361,
0.44048047065734863,
0.19599419832229614,
-0.5069384574890137,
-0.300721138715744,
-0.3186788558959961,
0.4164828062057495,
... |
In this task, you must modify the text given in the input to generate a paraphrased sentence. Your output sentence must retain the same meaning, but does not necessarily have to include all the details as the input text.
sentence_B_original: Four girls do backbends while playing outdoors. | Four girls are doing backbends and playing outdoors | 0 | NIv2 | task1614_sick_text_modify | zs_opt | [
-0.6204231977462769,
1.4458705186843872,
-0.7371712327003479,
-0.6659085154533386,
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1.019881010055542,
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-1.2415229082107544,
0.1610110104084015,
-0.15553739666938782,
-0.4009295105934143,
... |
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 round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[-901, 838, -353, -8, -965, 125, -308, 1000, -221]
Output: | [-900, 840, -350, -10, -960, 120, -310, 1000, -220] | 1 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.6927935481071472,
0.2624276280403137,
-0.356242299079895,
0.2353793829679489,
-0.08700031787157059,
0.06379164755344391,
0.6402413249015808,
0.06374672055244446,
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0.28802376985549927,
-0.5820140242576599,
-0.1525629311800003,
-0.632935643196106,
0.02402001991868019,
... |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: the slant height of a cone is 10 cm and radius of the base is 5 cm , find the curved surface of the cone ?
Options: a ) 150 , b ) 155 , c ) 158 , d ) 157 , e ) 190 | d | 0 | NIv2 | task1423_mathqa_geometry | zs_opt | [
0.004951228387653828,
0.17271625995635986,
-0.5261363983154297,
-0.4114462733268738,
0.392239511013031,
0.04822562262415886,
-0.3404936194419861,
0.36827921867370605,
-0.09932030737400055,
0.38310569524765015,
-0.6464709639549255,
0.37230437994003296,
0.05837256833910942,
-0.24270476400852... |
Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i wil... | e6585439 | 4 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.45836758613586426,
0.0030464958399534225,
-0.7633181810379028,
-0.414878249168396,
-0.23591405153274536,
-0.6690449118614197,
0.24608513712882996,
0.2565856873989105,
-0.6785613298416138,
0.0894780233502388,
-0.9701404571533203,
0.005675175227224827,
-0.13784566521644592,
0.1645360589027... |
Given the task definition and input, reply with output. Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect ... | bacteria. | 5 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.2914058566093445,
0.8887425065040588,
-0.21419519186019897,
0.14845527708530426,
-0.1501023918390274,
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0.5047773122787476,
0.5964663028717041,
-0.07324047386646271,
-0.28186193108558655,
-1.3354780673980713,
0.282252699136734,
-0.6366257667541504,
0.29902127385139465,... |
You will be given a definition of a task first, then some input of the task.
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Question1: How can I speak English like natives?, Question2: How I can improve my English communication?... | Yes | 1 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.16273380815982819,
0.5889111757278442,
0.786715030670166,
0.4304696321487427,
0.16378077864646912,
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0.04380657523870468,
-0.2597571015357971,
-0.5886563062667847,
-0.7019681930541992,
-0.6927722692489624,... |
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.
--------
Question: Kalgoorlie juga merupakan pusat perkotaan terbesar di Goldfields, dan memiliki sejumlah terbesar gedung-gedun... | しかし、すぐにアリンギが追い越し、第１マークを7秒のリードで終えた。
| 7 | NIv2 | task1116_alt_id_ja_translation | fs_opt | [
0.042090002447366714,
0.822475016117096,
-0.5653551816940308,
-0.5578464865684509,
-0.07823266088962555,
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0.8600962162017822,
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-1.2468600273132324,
0.518498301506042... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Problem:Sentence 1: Against t... | slate | 8 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-0.9338757991790771,
0.30426669120788574,
-0.4018413722515106,
-0.9251262545585632,
-0.2805892825126648,
-0.1686176061630249,
0.005882743746042252,
0.9159947633743286,
0.3765111565589905,
-0.39934468269348145,
-0.5860006809234619,
0.027729230001568794,
-0.47951382398605347,
-0.442268729209... |
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
One example: فتوسنتز فرایندی زیستشیمیایی است که در آن، انرژی نورانی خورشید توسط گ... | True | 6 | NIv2 | task396_persianqa_classification | fs_opt | [
0.17924247682094574,
0.3489075303077698,
-0.07104711979627609,
0.0946178063750267,
-0.15571321547031403,
0.46222984790802,
0.9061756134033203,
0.6734526753425598,
0.0738474577665329,
0.679986298084259,
-0.6872595548629761,
1.229006052017212,
-1.1921727657318115,
0.13659964501857758,
-0.1... |
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Example Input: This can be used to light up a light bulb (A) grass (B) dirt (C) stones. (D) biofuel
Example Output: D
Example Input: a lighter object hue can lead ... | A
| 3 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.37501639127731323,
0.5484834909439087,
-0.17512261867523193,
-0.11930500715970993,
-0.6709703207015991,
-0.6661518812179565,
0.8307003378868103,
0.8015679717063904,
0.07591677457094193,
0.1032286211848259,
-0.38384270668029785,
-0.1855650395154953,
0.36717885732650757,
-0.37379947304725... |
Detailed Instructions: Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expa... | yes | 8 | NIv2 | task361_spolin_yesand_prompt_response_classification | zs_opt | [
0.4875636696815491,
0.5640603303909302,
0.15847226977348328,
-0.1867709457874298,
0.15960778295993805,
-1.069338083267212,
0.4553607106208801,
0.47644856572151184,
0.01887197606265545,
0.16314810514450073,
-0.44683271646499634,
-0.295185923576355,
-0.6793598532676697,
0.229657381772995,
... |
In this task, you're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly different fro... | No
| 7 | NIv2 | task630_dbpedia_14_classification | fs_opt | [
0.8342673778533936,
0.18693263828754425,
-0.604731023311615,
0.5202171802520752,
-0.25094109773635864,
-0.9044760465621948,
0.4239501953125,
0.49021756649017334,
-0.7719384431838989,
0.32357871532440186,
-0.19256937503814697,
-0.036495499312877655,
-1.196727991104126,
0.2642410397529602,
... |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Bad | 0 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.8833779692649841,
0.4417557716369629,
-0.24480074644088745,
-0.6313275694847107,
-0.5405418276786804,
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0.15272437036037445,
-0.11270494759082794,
0.18511883914470673,
0.026262860745191574,
-0.45633310079574585,
0.25548624992370605,
-0.665755033493042,
-0.23722736537... |
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
[EX Q]: All the evidence suggests that Niall remained in Robert's warband for the years to come, fighting both the English-side generally a... | Gail
| 6 | NIv2 | task330_gap_answer_generation | fs_opt | [
-0.40640997886657715,
1.042686939239502,
0.007163615897297859,
-0.06615699082612991,
0.23966598510742188,
-0.560910701751709,
0.6075301170349121,
0.7670549750328064,
-0.1609518826007843,
0.3602304756641388,
0.047221794724464417,
-0.024109985679388046,
-0.7196530103683472,
-0.51730310916900... |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | b | 4 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.9046874642372131,
0.1629018634557724,
-0.3200066089630127,
-0.4184187650680542,
0.45752808451652527,
-0.2676764130592346,
0.9145253896713257,
0.810379147529602,
0.2862666845321655,
0.08632500469684601,
-0.03581476956605911,
0.4401731491088867,
-0.6788240671157837,
0.4859101474285126,
-... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Input: Consider Input: EAST CLEVELAND, Ohio — Investigators have released the name of the second of three women found dead in this Cleveland suburb last weekend, and the city's mayor revealed he... | Output: The Mississippi Department of Corrections reported 15 inmate deaths in the month of August alone and the staggering number has families of the deceased demanding answers and the state reaching out to the FBI to help get them. Per CNN, commissioner Pelicia E. Hall said in a statement Friday that the MDOC has rea... | 2 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.26963332295417786,
0.42416664958000183,
-0.7560869455337524,
-0.2202436923980713,
0.646945595741272,
0.011699673719704151,
0.4643842279911041,
0.775688648223877,
-0.4639337658882141,
0.281301885843277,
0.16686691343784332,
0.5724577903747559,
-0.34487929940223694,
0.4411265254020691,
0... |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | acceptable | 0 | NIv2 | task616_cola_classification | zs_opt | [
-0.47376134991645813,
0.8245104551315308,
0.812804102897644,
-0.5882000923156738,
-0.3231948912143707,
-1.1578311920166016,
0.3955908715724945,
0.09393958747386932,
0.017556102946400642,
0.23209381103515625,
-1.0363821983337402,
0.15272554755210876,
-0.5779783725738525,
0.22101500630378723... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example input: Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby... | उनका मानना है कि वह हेल्स एंजेल्स बाइकी गिरोह का सदस्य है। | 3 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
-0.17448988556861877,
1.1442794799804688,
-0.1530648171901703,
0.549537181854248,
-0.2152315080165863,
-0.761719286441803,
0.5307348370552063,
0.5643587112426758,
-0.06662911921739578,
-0.37527304887771606,
-0.8399843573570251,
0.6572766304016113,
0.1077754944562912,
0.31035006046295166,
... |
Teacher:The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Norwegian Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Norwegian ... | Midt på den hevet to store steiner seg; oventil var de slitt og tilspisset så de lignet et eller andet kjempedyrs huggtenner. | 6 | NIv2 | task1649_opus_books_en-no_translation | zs_opt | [
0.23433199524879456,
0.8560832738876343,
-0.2972877323627472,
-0.16050110757350922,
-0.49655041098594666,
-0.3632524013519287,
1.14484703540802,
0.07113205641508102,
-0.350204735994339,
-0.781288206577301,
0.5206903219223022,
0.5707617998123169,
-1.4356987476348877,
-0.0446615144610405,
... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you shoul... | [0, 665, -25, -27, 39, 585]
| 7 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.008287354372441769,
0.07518582791090012,
-0.7301119565963745,
0.05549963563680649,
-0.04905364289879799,
-0.3504672050476074,
1.3321030139923096,
0.6547014713287354,
-0.621428370475769,
-0.25940588116645813,
-1.1972752809524536,
-0.05998075008392334,
-0.7006017565727234,
-0.1475540399551... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | True
| 3 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.1692809760570526,
-0.053218670189380646,
-0.033817391842603683,
-0.05041446536779404,
-0.03992053121328354,
-0.17720389366149902,
0.4295983612537384,
1.2298259735107422,
0.10066686570644379,
-0.2952267527580261,
-1.3501185178756714,
-0.13707049190998077,
-0.49750328063964844,
-0.0182289... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Problem:אתם רק צריכים השראה, חזון ונחישות.
Solution: | 必要なのはひらめきと、ビジョンと、決断力だけです | 8 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.5734178423881531,
0.11791907995939255,
0.2538032531738281,
-0.5434485673904419,
0.02174193598330021,
0.051559314131736755,
0.5889156460762024,
-0.5263341665267944,
0.6350180506706238,
-1.0288121700286865,
-0.48359858989715576,
-0.4568345546722412,
-0.46074968576431274,
0.615069389343261... |
Teacher:In this task, you will be presented with a question having multiple possible answers in Hindi 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? Solve this instance: Question: माँ को कहीं जाने और सज... | D | 6 | NIv2 | task1134_xcsr_hi_commonsense_mc_classification | zs_opt | [
0.196313738822937,
-0.15893438458442688,
-0.3168536126613617,
0.2538096010684967,
-0.17953883111476898,
-0.6838603615760803,
0.31291672587394714,
1.0937371253967285,
0.017555827274918556,
-0.16619902849197388,
-0.06653913855552673,
0.22423303127288818,
-0.10260677337646484,
-0.563643813133... |
Given the task definition and input, reply with output. Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Is AUTHOR wrong in the post ? POST : So my... | no | 5 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
-0.0846240222454071,
0.18255561590194702,
-0.4797903597354889,
0.18737879395484924,
0.21124233305454254,
-0.912013053894043,
0.1634422242641449,
1.1664354801177979,
-0.1329653561115265,
0.30889415740966797,
-0.04423995316028595,
1.1570805311203003,
-0.857255220413208,
-0.2511157691478729,
... |
Detailed Instructions: 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' ... | 921000 | 8 | NIv2 | task1443_string_to_number | zs_opt | [
-0.5315347909927368,
1.2475786209106445,
-0.40685227513313293,
-0.9346479177474976,
-0.2957778573036194,
-0.3290663957595825,
1.1640100479125977,
0.5192456245422363,
-0.22638767957687378,
-0.19354704022407532,
-0.32970333099365234,
0.2769758701324463,
-1.5169451236724854,
-0.19279193878173... |
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 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 (co... | coord | 0 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
0.2142242193222046,
-0.12344302982091904,
0.15714231133460999,
0.22207514941692352,
-0.39388203620910645,
0.5300031304359436,
0.08216248452663422,
0.549554705619812,
-0.2078588753938675,
-0.7853033542633057,
-0.3707461357116699,
0.08819422870874405,
-0.679286003112793,
0.2504884898662567,
... |
In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be l... | ham
| 1 | NIv2 | task109_smsspamcollection_spamsmsdetection | fs_opt | [
-0.8270779848098755,
-0.056294795125722885,
0.5381625890731812,
-0.831415057182312,
0.1005091443657875,
-0.9395387172698975,
0.16104745864868164,
0.1914650797843933,
-0.43222713470458984,
0.46278250217437744,
-0.3558496832847595,
0.4843825697898865,
-0.3264625072479248,
-0.5201539993286133... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Problem:و این سوال این است که آیا در این دنیای جهانی و مدرن ، ما واقعا می توانیم از عهده نگهداری همه این زبانهای مختلف بر آئیم.
Solution: | A pregunta é se neste moderno, globalizado mundo podemos asumir ter todas estas linguas diferentes. | 8 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.5104209184646606,
1.3775417804718018,
0.5933709740638733,
-0.077499158680439,
-0.6382172107696533,
-0.5491148233413696,
0.18935123085975647,
0.2011716663837433,
0.13344508409500122,
-0.9847380518913269,
-0.7857861518859863,
0.6808184385299683,
-0.4069715440273285,
0.6143046617507935,
... |
Detailed Instructions: 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 ev... | [1, 25] | 9 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.33156609535217285,
0.5350896120071411,
0.06529717147350311,
-1.254493236541748,
0.2076074779033661,
-0.7510974407196045,
0.6351790428161621,
0.29926085472106934,
-0.8334132432937622,
0.42895108461380005,
-0.3793361783027649,
0.2341390699148178,
-0.3285697102546692,
-0.17663177847862244,... |
Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the ind... | green_crate | 3 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
0.06355836987495422,
-0.5235982537269592,
-0.07847835123538971,
0.340719997882843,
-0.44992509484291077,
-0.6601426601409912,
0.7163079380989075,
0.7221021056175232,
0.08755730092525482,
-0.17814013361930847,
-0.35455089807510376,
0.5037281513214111,
0.01990215852856636,
-0.056856416165828... |
Teacher: In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: 'as a guy jumps over the s... | the double decker bus si headed for its destination | 2 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.2514656186103821,
0.6716465950012207,
0.3905259966850281,
-0.8095799088478088,
-0.20421995222568512,
-0.19251318275928497,
0.3259756863117218,
0.43490830063819885,
0.24023020267486572,
-0.6812602281570435,
-1.5811426639556885,
0.43974506855010986,
-0.8300336003303528,
0.2302687466144561... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
[Q]: As Richard Parker uses it to climb on board. Someone
[A]: jumps off the other side and lands on his raft.
[Q]: Then, the woman polish the fingernail of the index of a person u... | appears in its midst, complete with a ringed planet.
| 5 | NIv2 | task453_swag_answer_generation | fs_opt | [
-0.9239495396614075,
1.1553236246109009,
-0.6513257622718811,
-0.06548726558685303,
-0.10436578840017319,
-0.2334391176700592,
0.6009319424629211,
0.40145164728164673,
0.1450241506099701,
0.06832084059715271,
0.24206434190273285,
-0.07888525724411011,
-0.18603599071502686,
-0.1423962712287... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: Consider Input: نميدونم . حدودا 5 دقيقه پيش ماشينش نيست .
Output: i dont know . about five minutes ago . his cars gone .
Input: Consider Input: يک تانک تو منطقه بي خطر منفجر شده .
Output: look , we have a tank ... | Output: toothbrush .
| 2 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
-0.05679784715175629,
0.625372052192688,
-0.07411009073257446,
0.240188866853714,
-0.39182567596435547,
-0.5904501080513,
0.44830310344696045,
0.8352310657501221,
0.3984937369823456,
0.4228997230529785,
-0.2963450253009796,
0.3562091886997223,
-0.778008222579956,
-0.22868984937667847,
0.... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer ... | span | 4 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
0.32949820160865784,
0.2192884236574173,
0.10125751793384552,
-0.19881513714790344,
-0.0516057051718235,
-0.09317811578512192,
0.43492791056632996,
0.26535654067993164,
-0.1477546989917755,
-0.4113369882106781,
-0.27848562598228455,
0.24319060146808624,
-0.6315968036651611,
-0.146162122488... |
TASK DEFINITION: In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
PROBLEM: We study the use of the Wave-U-Net architecture for speech enhancement, a model introduced b... | Ape-X DQfD = Distributed (many actors + one learner + prioritized replay) DQN with demonstrations optimizing the unclipped 0.999-discounted return on Atari.
| 8 | NIv2 | task668_extreme_abstract_summarization | fs_opt | [
0.47860196232795715,
0.5044786930084229,
-1.1563513278961182,
0.13081713020801544,
-0.022634223103523254,
-0.009626396931707859,
1.0364336967468262,
0.885308563709259,
0.4975425601005554,
0.07255083322525024,
0.14632493257522583,
0.1876525580883026,
-0.6334736347198486,
0.322529673576355,
... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Q: A woman is carrying her baby.
A: | O femeie își ține în brațe bebelușul. | 4 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | zs_opt | [
0.05944450572133064,
0.8517762422561646,
-0.30390071868896484,
0.16997605562210083,
-0.18106746673583984,
-0.28095272183418274,
0.1439460963010788,
1.131085753440857,
1.3723303079605103,
0.34007683396339417,
0.5087690353393555,
0.7609161734580994,
-0.30726903676986694,
-0.00802039541304111... |
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 alphabetical elements in the given list. Return 0 if no alphabetical element in the list
One example: ['238', 'h', '92', 'U', '2799']
Solution is here: 2
Explanation:... | 13 | 6 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
-0.026152096688747406,
0.3884623050689697,
-0.36499252915382385,
-0.11742568016052246,
0.18746796250343323,
-0.8513033390045166,
0.3515153229236603,
0.34989380836486816,
-0.6907941102981567,
0.1709975153207779,
-0.7468757033348083,
0.06731897592544556,
0.3856312036514282,
-0.17013791203498... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: ברצפת ייצור זאת יש 1,500 עובדים בקומה זו
Student: | Na tym piętrze jest około 1500 pracowników. | 6 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-0.3287939429283142,
0.7268543243408203,
-0.3360285460948944,
0.06362930685281754,
-0.08655717968940735,
-0.1784364879131317,
-0.07252956181764603,
-0.06580899655818939,
0.6404920816421509,
0.07252325117588043,
0.029593193903565407,
0.30610358715057373,
-0.3194316625595093,
0.0836943015456... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Someone sighs and shakes her head. | His hands rest on his knees as he slouches, looking down at the comatose woman. | 0 | NIv2 | task455_swag_context_generation | zs_opt | [
0.19135478138923645,
1.4693188667297363,
-0.03873801231384277,
-0.2302231639623642,
-0.30364853143692017,
-0.4500531256198883,
0.15259259939193726,
0.6267209053039551,
0.15615567564964294,
-0.08711716532707214,
0.008773062378168106,
-0.026226988062262535,
-0.9105702638626099,
-0.2456183433... |
You will be given a definition of a task first, then some input of the task.
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
True soil has ____ definite regions of material.
Output: | three | 1 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.5333213806152344,
0.8441706299781799,
-0.036067500710487366,
-0.20939944684505463,
-0.2829815447330475,
-0.4688095450401306,
0.9655236601829529,
0.4377750754356384,
-0.5752823352813721,
-0.09866088628768921,
-0.1520557701587677,
-0.36816054582595825,
-0.06366227567195892,
-0.63670754432... |
Detailed Instructions: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-s... | stereotype | 9 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.14140230417251587,
0.41526004672050476,
0.3384401202201843,
-0.022400513291358948,
0.09134362637996674,
-0.46530330181121826,
0.7918815612792969,
0.826097309589386,
0.4243132472038269,
0.17523948848247528,
-0.46744978427886963,
-0.08099111914634705,
-0.9434103965759277,
-0.0912391319870... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location ... | None | 9 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
-0.9132298827171326,
0.49841439723968506,
-0.14944978058338165,
-0.30300405621528625,
-0.4978731870651245,
-0.11118150502443314,
0.34565091133117676,
0.11947739869356155,
0.5545836687088013,
-0.7296992540359497,
-0.7261983156204224,
0.5513073205947876,
-0.5973284244537354,
0.59678018093109... |
You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
--------
Qu... | why does polar bear's fur turn green?
| 7 | NIv2 | task1594_yahoo_answers_topics_question_generation | fs_opt | [
0.41614001989364624,
0.9549521207809448,
-0.26713499426841736,
0.02419513463973999,
0.05850118398666382,
-0.6957278847694397,
0.47846531867980957,
0.4111524224281311,
-0.021908750757575035,
0.48793739080429077,
-0.2616853713989258,
-0.13708198070526123,
-1.4013108015060425,
-0.134860679507... |
Definition: In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Input: We consider the problem of information compression from high dimensional data. Where many studies c... | New Class of Autoencoders with pseudo invertible architecture | 2 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
-0.654840350151062,
-0.1425747573375702,
0.02741800993680954,
0.08956685662269592,
0.04024684801697731,
-0.3198366165161133,
0.6372861862182617,
0.31311142444610596,
0.34910890460014343,
0.4171502888202667,
-1.199401617050171,
-0.012134118936955929,
0.1479385942220688,
0.12730681896209717,... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Example: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer... | Solution: no | 5 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.7517778873443604,
0.47531986236572266,
-0.8551055192947388,
1.036089539527893,
0.506278395652771,
-0.0903858095407486,
0.6602931022644043,
0.4867691993713379,
-0.03267218545079231,
0.36423420906066895,
-0.040811359882354736,
0.6185369491577148,
-0.9429317712783813,
-0.12528449296951294,
... |
Given the task definition and input, reply with output. In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
I am not sure how long into the race I decided to remove my mud caked glasses and accept the occasional speck of di... | Why did I decide to remove my mud caked glasses ? | 5 | NIv2 | task596_mocha_question_generation | zs_opt | [
-0.6820289492607117,
0.8968623876571655,
-0.030613422393798828,
-0.12366943061351776,
-0.7149157524108887,
0.10189539194107056,
-0.2908684015274048,
0.3441019058227539,
0.6282333731651306,
-0.30892208218574524,
-1.1112984418869019,
-0.011019928380846977,
-0.41881996393203735,
0.45046004652... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Q: what is the band on a cigar for
A: | denote its brand or variety | 4 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.48525363206863403,
1.0148330926895142,
-0.3891206383705139,
-0.20560690760612488,
-0.2797379493713379,
-1.0388095378875732,
1.5002516508102417,
0.4192177653312683,
0.07838061451911926,
0.5871413946151733,
-0.6455264091491699,
-0.31048449873924255,
-0.030687524005770683,
-0.2583537697792... |
Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
Example input: excavator, crane, pelican, hoist, upraise
Example output: pelican
Example explanation: The common category here are words related to constructi... | lifeline | 3 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
0.04978427290916443,
0.35826659202575684,
-0.508417546749115,
-0.2043910175561905,
0.013036906719207764,
-0.3495064377784729,
0.47392407059669495,
-0.1032930389046669,
-0.33790814876556396,
-0.5762523412704468,
-0.9616904258728027,
-0.03074980154633522,
-0.7312694787979126,
0.6116338968276... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Example input: Igbo sentence: Olee kwere omume?
Example output: How is this possible
Example explanation: The English translation means the same as the original sentence in the Igbo languag... | Worry regarding Others – 94.57% | 3 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
-0.05511196702718735,
0.9395389556884766,
0.04005497694015503,
-0.22238829731941223,
-0.3481036424636841,
-1.2508232593536377,
0.8541035056114197,
0.5218549966812134,
0.04998154193162918,
-0.9693297743797302,
-0.6096413135528564,
0.034806299954652786,
-0.8148286938667297,
0.260820150375366... |
Instructions: 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 s... | not | 3 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-1.4744768142700195,
0.6693987846374512,
0.8228729963302612,
0.1893240511417389,
-0.5589801073074341,
0.3100331723690033,
0.5170537233352661,
0.05536878481507301,
0.6479464769363403,
-0.06682856380939484,
-0.3846132159233093,
-0.27575698494911194,
-0.267210990190506,
-0.12435293197631836,
... |
Instructions: The task is to generate the correct answer for a given math problem.
Input: Problem: a can give b 50 meters start and c 100 meters start in a kilometer race . how much start can b give c in a kilometer race ?
Output: | 52.63 | 3 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
0.3665804862976074,
0.8169347643852234,
-0.4337289333343506,
-0.3108144700527191,
-0.30390894412994385,
-0.5471433401107788,
-0.28075021505355835,
0.9671444296836853,
0.4948691129684448,
-0.4414626955986023,
-0.4122260808944702,
0.6214121580123901,
0.150115966796875,
-0.2393401861190796,
... |
Detailed Instructions: The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Problem:name[xname], eattype[coffee shop], cuisine[Japanese], price[cheap], rating[5 out of 5], location[riverside], familyF... | There is a cheap coffee shop xname just outside the centre of the city that provides sushi and fish. It is low in cost and family friendly. | 8 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.28372398018836975,
-0.09980002045631409,
-0.5868110060691833,
-0.31373998522758484,
0.05999843776226044,
0.45574259757995605,
0.8972079753875732,
0.6027920246124268,
0.32775452733039856,
-0.8078456521034241,
0.3220224976539612,
-1.0880206823349,
-0.5195775032043457,
0.30609431862831116,... |
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
Input: ... | Output: chicken HasA feather
| 2 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.022337522357702255,
0.8742705583572388,
0.023000488057732582,
-0.2502109408378601,
-0.23226940631866455,
-0.830085813999176,
0.2967531979084015,
0.532791018486023,
0.27018624544143677,
-0.6421809196472168,
-0.5493967533111572,
0.583720326423645,
-0.8359075784683228,
0.002215218497440219,... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Italian.
See one example below:
Problem: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Solution: Perché? Perché quel profitto fa sì che qualunque soluzione da noi c... | Lei è qui. Anche lei è medico. | 4 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.5589218735694885,
0.6736900210380554,
0.28734639286994934,
-0.26785844564437866,
-0.1727982461452484,
-0.6625015735626221,
0.16784153878688812,
0.9090593457221985,
0.37701675295829773,
0.082161083817482,
-0.09738518297672272,
1.098077654838562,
-0.6373922824859619,
0.23516437411308289,
... |
Part 1. Definition
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Part 2. Example
Then, the camel stops and the woman gets down from the camel.
Answer: A woman rides a camel holding a rode with her right hand while a man pulls th... | Woman is making the movements quickly and showing the position of the hands. | 7 | NIv2 | task455_swag_context_generation | fs_opt | [
0.5031486749649048,
0.9289979934692383,
-0.8724878430366516,
0.3133407533168793,
-0.3450993299484253,
-0.11038936674594879,
0.25269824266433716,
1.5144531726837158,
0.8185544013977051,
-0.22150415182113647,
-0.6273194551467896,
0.46783655881881714,
-0.517683744430542,
-0.22528591752052307,... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Example inpu... | Identifiable | 3 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-1.0036723613739014,
0.5658785700798035,
0.0039278496988117695,
-0.6137847900390625,
0.14625832438468933,
-0.5291081666946411,
0.22722318768501282,
0.8754732608795166,
0.5846325159072876,
0.31699997186660767,
-1.399307370185852,
0.23889030516147614,
-0.3762892484664917,
-0.3129457235336303... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
--------
Question: Text: Ang kanyang mga pag-uusap ay isang usisero timpla ng hangin at kagaslawan.
Answer: Tagalog
Question: Text: Pagkatapos ay may mga Ang mga numero, ... | Tagalog
| 7 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
-0.02315104752779007,
0.44798964262008667,
0.40815505385398865,
-0.43047067523002625,
0.5574599504470825,
-0.6210616230964661,
-0.1038702130317688,
0.24076905846595764,
0.16377654671669006,
0.31163108348846436,
0.04682668298482895,
0.07956613600254059,
-0.4869735836982727,
-0.1340747177600... |
instruction:
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.
question:
Low case detection rates of new smear-positive pulmonary tuberculosis (PTB) patients globally are a cause for concern. The aim of this study was to determi... | Cold-related respiratory symptoms in the general population.
| 9 | NIv2 | task1586_scifact_title_generation | fs_opt | [
0.6199826002120972,
-0.28006359934806824,
-0.6856204867362976,
-0.2511868476867676,
0.9186543822288513,
-0.173594132065773,
0.9823699593544006,
0.7114925384521484,
0.07552759349346161,
0.5434905290603638,
-0.665493369102478,
1.0119448900222778,
-0.19121843576431274,
0.8081445693969727,
0... |
Definition: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words... | Frank believed Charles was too old for hire. | 2 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
-0.026322804391384125,
0.08494068682193756,
0.022942878305912018,
-0.2112845778465271,
0.024254336953163147,
0.22017250955104828,
0.09096670150756836,
0.43820884823799133,
0.0500311404466629,
-0.012665817514061928,
-0.49986398220062256,
0.3261244297027588,
-0.40019679069519043,
-0.05223742... |
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 two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect... | not plausible | 0 | NIv2 | task392_inverse_causal_relationship | fs_opt | [
-1.1389153003692627,
0.486783504486084,
0.33551526069641113,
-0.441686749458313,
-0.2344633936882019,
0.027207016944885254,
0.2987877130508423,
0.46234673261642456,
0.556524932384491,
0.1092224270105362,
-0.5816378593444824,
0.08806485682725906,
-0.017280040308833122,
0.25607943534851074,
... |
Given the task definition and input, reply with output. You are given a statement written in Panjabi. 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: ਇਹ ਸ਼ਬਦ ਪ੍ਰਾਚੀਨ ਯੂਨਾਨ ਦੀ ਅਕੈਡਮੀ ਤੋਂ ਆਇਆ ਹੈ, ਜ... | ਐਥਨੀਅਨ | 5 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
0.47433871030807495,
0.7334694862365723,
-0.07724055647850037,
-0.34339696168899536,
-0.6141170859336853,
-1.0095127820968628,
0.5992597341537476,
0.15540067851543427,
0.4643206000328064,
-0.2348032295703888,
-0.2512170076370239,
0.7170091271400452,
-1.2666853666305542,
-0.0305878575891256... |
TASK DEFINITION: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding re... | 11
| 8 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
0.045953430235385895,
0.6084839105606079,
-0.2392149716615677,
-0.03953757882118225,
0.5114358067512512,
0.2433125376701355,
1.3662101030349731,
0.42373842000961304,
-0.22841036319732666,
-0.5768941640853882,
-0.20307180285453796,
0.1594063639640808,
-0.3227381408214569,
0.1874746382236480... |
Part 1. Definition
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Part 2. Example
Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Answer: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Explanat... | A miña gran idea sería que, mentres que consideramos común patrocinar un museo de arte, ou unha cátedra universitaria, deberiamos estar pensando en patrocinar trigo. | 7 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.9610590934753418,
0.7706905603408813,
-0.31112077832221985,
-0.4291541576385498,
0.01644015498459339,
-0.7164374589920044,
1.0588127374649048,
0.29982990026474,
0.143690824508667,
-0.11409251391887665,
-0.577945351600647,
0.9150686264038086,
-0.025495236739516258,
0.15620440244674683,
... |
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.
2896 + 7150 + 1202 - 2249 - 872 | -2335 | 0 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.4565480351448059,
0.3520340025424957,
-0.8752306699752808,
0.4049101769924164,
-0.35655373334884644,
0.07646039128303528,
0.8403061032295227,
1.214175820350647,
0.18630751967430115,
-0.5540907382965088,
-0.5729203820228577,
-0.4369010329246521,
-0.7281057238578796,
0.20619341731071472,
... |
You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
System Reference: arabian nights restaurant, is in the are of hayes valley or nom... | 1
| 0 | NIv2 | task1186_nne_hrngo_classification | fs_opt | [
-0.08633756637573242,
1.1640002727508545,
-0.21812283992767334,
0.45017683506011963,
-1.0307732820510864,
-0.3616744875907898,
0.6068841218948364,
0.9113196134567261,
-0.2059502899646759,
-0.09341703355312347,
-0.3227551579475403,
0.14737382531166077,
-0.9703785181045532,
-0.15768924355506... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
One example: سم ، خوبي ، تو حالت خوبه .
Solution is here: sam . alright , youre alright .
Explanation: This is a good example. The above sentence is correctly translated from Persian to English.
Now, solve this: اجناس خشک... | dry goods . | 6 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
0.4181680679321289,
0.6209779977798462,
-0.288913369178772,
-0.8639439344406128,
-0.045148901641368866,
-0.7602565288543701,
0.5048489570617676,
0.5579700469970703,
0.16249457001686096,
0.27150845527648926,
-0.4887174069881439,
1.1957414150238037,
-0.4517064094543457,
-0.08030465990304947,... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Example: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Output: 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... | 東欧ではなおも天然ガスや石炭と依存しておりさらにこれにロシアから供給される天然ガスが複雑に絡み合っています | 1 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
0.15882077813148499,
0.07332023978233337,
-0.3028455674648285,
-0.3533255457878113,
0.13398359715938568,
0.22347301244735718,
0.3942070007324219,
0.6403133869171143,
0.0077581158839166164,
0.16100534796714783,
-0.5158548355102539,
0.26048123836517334,
-0.09320935606956482,
-0.1294801980257... |
Detailed Instructions: You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (o... | No | 9 | NIv2 | task456_matres_intention_classification | zs_opt | [
-0.284426748752594,
1.0421161651611328,
0.8686769604682922,
0.13773097097873688,
-0.5506548285484314,
-0.7498182058334351,
-0.06273835152387619,
0.9349038004875183,
-0.20517472922801971,
0.061812806874513626,
-0.46363383531570435,
0.0690707117319107,
-0.41201841831207275,
-0.08427029848098... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
Le... | joy | 8 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.3451688885688782,
0.1823033094406128,
0.07136319577693939,
-0.08423961699008942,
-0.3472677767276764,
-0.2580220699310303,
0.6450003981590271,
0.9710125923156738,
0.0712483823299408,
-0.07815536856651306,
-0.28065550327301025,
0.27263522148132324,
0.2573521137237549,
0.4626854360103607,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes"... | Yes | 1 | NIv2 | task635_allegro_reviews_answer_generation | zs_opt | [
-1.2410399913787842,
0.7119762897491455,
-0.10037222504615784,
-0.23261409997940063,
0.2554049491882324,
-0.3133470416069031,
1.0261805057525635,
0.020309507846832275,
-0.048619344830513,
-0.06517957150936127,
-0.4005967080593109,
0.9186542630195618,
-0.13359010219573975,
-0.41590172052383... |
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Example input: Context: During Operation Mar... | Answer: Vladimir Putin | 3 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.8786910176277161,
0.8341071605682373,
-0.33513009548187256,
-0.6199629902839661,
0.21691296994686127,
0.1552274525165558,
0.6503320932388306,
0.8611326217651367,
0.37075650691986084,
0.2247781753540039,
-0.997693657875061,
0.009153049439191818,
-0.517127513885498,
0.038044631481170654,
... |
Given a sentence in Chinese, generate a new Chinese 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 b... | 你可能会在黑暗中通过一个生物
****
| 4 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
0.029680049046874046,
-0.18667304515838623,
-0.2103346586227417,
-0.2618750035762787,
-0.005056462716311216,
-0.7558485865592957,
0.20627163350582123,
0.3583642840385437,
-0.36508458852767944,
0.07434704899787903,
-0.9095433950424194,
-0.011769277043640614,
-0.24774476885795593,
0.26070463... |
Definition: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Input: Person1: How much will it be all together ?
... | 0 | 2 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
0.014907458797097206,
-0.11545534431934357,
-0.14858660101890564,
-0.3443264961242676,
0.09587603807449341,
0.20397256314754486,
0.19892087578773499,
-0.03842807188630104,
0.2661108076572418,
-0.1411193609237671,
0.11960490047931671,
-0.47968339920043945,
0.27742820978164673,
-0.0530054569... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
ただ自分らしくあることです
Output: | Sejam apenas vós mesmos. | 1 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.03031158819794655,
0.8605420589447021,
0.3241870403289795,
-0.5265970230102539,
0.018488258123397827,
0.04063257575035095,
0.10168737173080444,
0.5917161703109741,
0.3671285808086395,
-0.14207862317562103,
-0.24872028827667236,
0.1454973965883255,
-0.34969961643218994,
-0.46899038553237... |
Detailed Instructions: You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Problem:Statement: <MASK> ಮತ್ತು ಪೂರ್ವದ ಉತ್ತರ ಪ್ರದೇಶದ ವಲಯಗಳಲ್ಲಿ ವಾಸಿಸುವ ಜನರಿಗೆ ಭೋಜ್ಪುರಿ ಭಾಷ... | ಬಿಹಾರ | 8 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
0.33684226870536804,
0.3326239585876465,
-0.24009348452091217,
0.48726192116737366,
-0.03986082971096039,
0.15755793452262878,
-0.35963961482048035,
0.9417038559913635,
-0.1451595425605774,
-0.22344379127025604,
-0.2562885284423828,
-0.2360251247882843,
0.3434025049209595,
-0.4092417657375... |
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. You ha... | No | 2 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.20834630727767944,
0.22615614533424377,
0.11549260467290878,
-0.1729530394077301,
-0.3492593765258789,
-1.0421860218048096,
1.1353358030319214,
0.34803980588912964,
-0.4613342881202698,
-0.5126237869262695,
-0.2645508050918579,
-0.35200148820877075,
-0.614126980304718,
0.1003931909799575... |
Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Rihanna has emerged as the unlikely inspiration behind Arsenal's thumping 5-1 win against Everton.
The sing... | Why Rihanna was Arsenal's 'lucky charm' in 5 | 0 | NIv2 | task418_persent_title_generation | zs_opt | [
0.18255272507667542,
0.9164073467254639,
-0.6490836143493652,
0.4347177743911743,
0.3573010265827179,
-0.1895046979188919,
0.559930145740509,
0.2739102840423584,
0.5546070337295532,
0.15192845463752747,
-0.8941582441329956,
0.4697473347187042,
-0.6555904150009155,
0.34100592136383057,
0.... |
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'.
Input: Problem: two pipes can fill the cistern in 10 hr and 12 hr respectively , while the third empty it in 40 hr . if all pipes are opened simultaneously , then the c... | a | 2 | NIv2 | task1422_mathqa_physics | zs_opt | [
0.15714019536972046,
0.1899820864200592,
-0.10743951797485352,
0.159990131855011,
-0.14847898483276367,
-0.42562997341156006,
-0.15421272814273834,
0.7956621646881104,
-0.068047434091568,
0.37743890285491943,
-0.30035993456840515,
0.2573525905609131,
0.308569073677063,
-0.12627215683460236... |
Definition: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Input: These chips are delicious and low in calories. I love the salt and vinegar, and the barbeque. We buy them b... | True | 2 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
0.1261710524559021,
-0.5505434274673462,
0.25766271352767944,
-0.21698124706745148,
-0.0880591943860054,
-0.6446058750152588,
1.4426891803741455,
-0.21611863374710083,
0.3362038731575012,
-0.13151103258132935,
-0.7309849262237549,
0.25975391268730164,
-0.26673686504364014,
-0.4940311312675... |
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 | task1210_atomic_classification_madeupof | fs_opt | [
0.7235743999481201,
0.4472048580646515,
-0.1463046669960022,
0.23047667741775513,
-0.5752425789833069,
-0.5419659614562988,
1.0866191387176514,
0.42633986473083496,
-0.5671840906143188,
-0.6293752789497375,
-0.6466034054756165,
0.002169536892324686,
-0.5582555532455444,
0.13331955671310425... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
--------
Question: Akademia Sztuk Pięknych dołączyła do projektu, więc wybudowaliśmy kolejną wielką antenę na ich dachu, dokładnie pomiedzy podsłuchami NSA i GCHQ.
Answer: انضمت أكاديمية الفنون للمشروع ، وهكذا قمنا ببناء هوائ... | أطلق على هذه الحروف الثمانية اسم "" الجذور "".
| 7 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.6066378355026245,
0.5511514544487,
0.33153295516967773,
-0.9983924031257629,
0.16660477221012115,
-0.04548005014657974,
0.7381434440612793,
0.16897626221179962,
0.07627391815185547,
0.1044110655784607,
-0.6471219658851624,
0.0816582590341568,
-0.7743733525276184,
0.3818957805633545,
0... |
instruction:
You are given a target person and two sentences. Your task is to determine whether the second sentence conveys 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-ster... | stereotype
| 9 | NIv2 | task318_stereoset_classification_gender | fs_opt | [
-0.6132695078849792,
0.3680560290813446,
0.026354605332016945,
0.2975797653198242,
-0.06986397504806519,
-0.21134382486343384,
0.5139592289924622,
0.8315792679786682,
0.4883052706718445,
-0.35093793272972107,
-0.4019913375377655,
0.07656663656234741,
-0.5893061757087708,
-0.287107050418853... |
Given the task definition, example input & output, solve the new input case.
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try t... | clean. | 1 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.08484530448913574,
0.9027225375175476,
-0.3783690333366394,
0.6946418881416321,
0.07678049802780151,
-1.0886077880859375,
0.4345206320285797,
1.1492118835449219,
-0.33967113494873047,
0.2716118097305298,
-0.9472132921218872,
0.476617693901062,
-0.23046016693115234,
-0.17879272997379303,
... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
One example is b... | Retired gunslinger and former Confederate soldier Steve Sinclair Robert Taylor is living as a rancher in a small western community. He collaborates with the main landowner Dennis Deneen Donald Crisp, from whom he rents the ranch, to preserve communal stability. His quiet life is disrupted by the appearance of his emoti... | 9 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.4632640779018402,
0.10078946501016617,
-0.3226979672908783,
0.4233553409576416,
0.06341321766376495,
-0.7901450395584106,
0.1913299709558487,
1.4617283344268799,
-0.5739080905914307,
0.16424667835235596,
-0.35137248039245605,
-0.1126333698630333,
-0.41148340702056885,
1.0163302421569824,... |
Detailed Instructions: The input is a sentence with a missed word and an emotion. Your task is to fill in the blank with a word that matches the emotion and rewrite the completed sentence. The emotion is one of ['fear', 'joy', 'anger', 'sadness'].
See one example below:
Problem: SENTENCE: Alphonso feels <blank>.
EMOTI... | Torrance found himself in a displeasing situation. | 4 | NIv2 | task1339_peixian_equity_evaluation_corpus_text_completion | fs_opt | [
0.07439649105072021,
0.29000288248062134,
0.291100412607193,
-0.5607448816299438,
-0.17691579461097717,
-0.9016271233558655,
1.5204358100891113,
0.3770274519920349,
-0.0450001060962677,
-0.18831631541252136,
0.02295289747416973,
-0.38900506496429443,
-0.36270537972450256,
0.414665997028350... |
Q: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$'... | PRP$ | 7 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
-0.09015285968780518,
0.440826952457428,
-0.07228279113769531,
0.34147197008132935,
-0.031881581991910934,
-0.5474789142608643,
0.6793939471244812,
0.9191075563430786,
-0.5300775766372681,
-0.3114248812198639,
-0.3370511531829834,
0.5791254639625549,
-0.3223288655281067,
0.0609512589871883... |
Detailed Instructions: 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 symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation retu... | 22820 | 9 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
-0.12992700934410095,
0.324754923582077,
-1.2025502920150757,
-0.028106022626161575,
-0.45611417293548584,
-0.323577880859375,
0.2795254588127136,
1.5319502353668213,
0.6962329745292664,
0.1668887436389923,
-0.43655818700790405,
-0.33016064763069153,
0.4791041910648346,
0.08576737344264984... |
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 Farsi.
לגמרי מקדימים את זמנם.
| خیلی جلو تر از زمان خودشون بودند. | 5 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.7166949510574341,
1.0871599912643433,
0.3979242742061615,
0.05160317197442055,
-0.6085597276687622,
0.26727598905563354,
0.6462544202804565,
-0.25982344150543213,
0.903300940990448,
-0.20600159466266632,
-1.0586838722229004,
0.5195909738540649,
-0.48462745547294617,
0.443334698677063,
... |
instruction:
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tok... | if you are looking for a place that is _____t child friendly that serves English food and in the high price range then there is a place called _____
| 9 | NIv2 | task1407_dart_question_generation | fs_opt | [
0.1258895993232727,
0.15898802876472473,
-0.704503059387207,
0.17788785696029663,
0.18559391796588898,
-0.10842674225568771,
0.693264365196228,
0.5001106858253479,
0.05672052130103111,
-0.0489271879196167,
-0.08580255508422852,
0.4193704426288605,
-0.6256630420684814,
0.39000749588012695,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Input: Consider Input: ובכן, אנחנו כאן משום שארצות הברית, בזבזה שני טריליון דולר על המלחמות בעיראק ובאפגניסטן שנכשלו.
Output: Well, we're here because the United States, we spent two trillion dollars on wars in Iraq and Afg... | Output: There was no place to stay, so I stuck my computer in, I went away, came back after a couple of months, found kids playing games on it.
| 2 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.23342041671276093,
0.1596457064151764,
-0.09498676657676697,
0.1468271017074585,
-0.06641318649053574,
-0.18012484908103943,
-0.1991937756538391,
0.44732576608657837,
0.5661914348602295,
0.36840033531188965,
0.17526108026504517,
0.33291882276535034,
-0.4236340820789337,
-0.4234435558319... |
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