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 |
|---|---|---|---|---|---|---|
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
ik but this charuta girl is a real pain ikr this is really really sad beamingfacewithsmilingeyes she gave me her books to read we discussed that i'll give ... | angry | 0 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.6257672905921936,
0.5311753749847412,
0.45459944009780884,
-0.9685827493667603,
-0.5367768406867981,
-0.10055780410766602,
0.7126625180244446,
0.0806916356086731,
0.6161396503448486,
-0.39640069007873535,
-0.018081489950418472,
-0.3868143558502197,
-0.7991600036621094,
0.306470334529876... |
You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and completely. In those ca... | Output: A, D.
| 2 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.5785446166992188,
0.9099104404449463,
-0.5697586536407471,
-0.5751235485076904,
0.3192318081855774,
-0.7028119564056396,
0.767616331577301,
1.1240346431732178,
0.2500435709953308,
0.04537280648946762,
-0.4817577600479126,
0.8732112646102905,
-0.5939032435417175,
0.1457766592502594,
-0.... |
Given a text, write a compressed version of it in a single sentence.
A neighbor reported Astro’s plight to the ASPCA and our Humane Law Enforcement officers went to investigate. | A neighbor reported Astro's plight. Our officers went to investigate. | 0 | NIv2 | task1340_msr_text_compression_compression | zs_opt | [
0.046495258808135986,
0.08496175706386566,
-0.2817479968070984,
-0.22889207303524017,
-0.19321157038211823,
-0.848645806312561,
0.13634303212165833,
0.10037969052791595,
0.8158631324768066,
-0.2006859928369522,
-0.6617699265480042,
0.21186351776123047,
-0.8373326659202576,
-0.2432584315538... |
TASK DEFINITION: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
PROBLEM: او فقط برخواست و گفت: از من پیروی کنید. درک سیورز فروشگاه سی دی بیبی را تاسیس کرد ، که به موسیقیدانان مستقل اجازه می داد تا بدون داشتن تریبون عمومی فضایی برای فروش موسیقیشان داشته باشند- تا محلی برا... | W opiece zdrowotnej otrzymanej w szpitalach i klinikach na całym świecie pierwszy raz doświadczyłem prawdziwie zespołowej opieki dopiero w Legacy Good Samaritan przez ostatnie pół roku.
| 8 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.3468461036682129,
0.05651653930544853,
-0.6242544054985046,
0.3589896559715271,
-0.269747257232666,
-0.0419127456843853,
1.044175148010254,
0.1311669647693634,
-0.00949076097458601,
-0.12180784344673157,
-0.16885457932949066,
0.36432355642318726,
-0.5130763649940491,
0.36434847116470337... |
Detailed Instructions: You are given a sentence and a question. You're expected to write an **incorrect** answer to the given question, such that it is relevant to the given sentence. Your answer should not be completely out of context. Try to write short answers with one or two words.
See one example below:
Problem: S... | cooked spaghetti | 4 | NIv2 | task1383_quarel_write_incorrect_answer | fs_opt | [
-0.6809325218200684,
0.7993046045303345,
-0.2617781162261963,
-0.1798831671476364,
0.03479039669036865,
-0.7161417603492737,
0.5831440687179565,
0.09749134629964828,
0.1161871924996376,
0.2967246174812317,
-0.5830182433128357,
0.6147873401641846,
-0.6566261053085327,
0.3294706344604492,
... |
Detailed Instructions: 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 provid... | True | 9 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
0.05035645514726639,
-0.4450424909591675,
-0.3582950234413147,
-0.0006645239191129804,
-0.08949251472949982,
-0.1723424196243286,
0.3848876357078552,
-0.20793531835079193,
0.2144535332918167,
0.06270181387662888,
-0.499708354473114,
-0.06702671945095062,
-1.092463493347168,
0.1906810104846... |
You will be given a definition of a task first, then some input of the task.
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 ... | N | 1 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.2602965831756592,
0.496591180562973,
-0.019211672246456146,
-0.6477541923522949,
0.0039100381545722485,
0.44548821449279785,
0.36464959383010864,
0.5872105360031128,
0.24088792502880096,
-0.03560343384742737,
-0.5057091116905212,
0.34568193554878235,
-0.6805805563926697,
-0.342651933431... |
You will be given a definition of a task first, then some input of the task.
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts... | A calculator is used for getting sums. | 1 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.21075689792633057,
0.9692567586898804,
-0.4792879521846771,
0.27402323484420776,
-0.2880474627017975,
-0.6398882269859314,
-0.07859265059232712,
1.0051243305206299,
-0.2105325162410736,
-0.0048927064053714275,
-1.014256238937378,
0.5354684591293335,
-0.27901947498321533,
-0.1330664455890... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Q: Context: Allergic rhinitis (AR) is a complex chronic inflammatory disease of the nasal mucosa, caused by an interaction between genetic and envi... | Our data suggest that disturbances of the TGF beta RII and SMAD4 expression as well as localization of SMADs may be important to the infiltration of the myometrial wall by the type I endometrial carcinomas.
****
| 4 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.7201840281486511,
0.11032235622406006,
-0.3781135082244873,
-0.28077006340026855,
0.4828953742980957,
-0.22868461906909943,
1.0234813690185547,
0.670217752456665,
0.3029666244983673,
0.3504714369773865,
-0.23083284497261047,
0.4002892076969147,
-0.488963782787323,
0.39950478076934814,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
One example is below.
Q: Terán seguro para pagar a receita?
A: 処方箋を支払う為の保険は ？
Rationale: The Galician sentence is correctly translated into Japanese, because the meaning is preserved.
Q: Se miramos esta imaxe vemos unha ... | この画像をご覧下さい様々な形のものが踊っています | 9 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.3927813172340393,
1.1120870113372803,
0.26111945509910583,
-0.5006557703018188,
0.06174156814813614,
-0.7458905577659607,
1.2682816982269287,
0.02361459657549858,
-0.30842137336730957,
-0.5168927907943726,
-0.07718917727470398,
-0.014078887179493904,
-0.536629855632782,
0.83059871196746... |
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.
One example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually fun... | negative | 6 | NIv2 | task284_imdb_classification | fs_opt | [
0.23665380477905273,
0.15101848542690277,
-0.8968110084533691,
0.2625766098499298,
0.4337077736854553,
-0.37220561504364014,
0.6359305381774902,
0.8246070146560669,
-0.24680475890636444,
0.5432401299476624,
-0.07230251282453537,
0.11158278584480286,
-0.6264491677284241,
-0.1662744283676147... |
You are given a statement written in Malayalam. 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 .
Example input: Statement: ഈസ്റ്റേൺ കാറ്റിൽ ഈഗ്രറ്റ് (B. i. coromandus) - 1783 - ൽ പീറ്റർ ബൊഡേർട്ട് ആണ് ആദ്യമായി... | അമേരിക്കയിലും | 3 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.36484408378601074,
0.2775365114212036,
-0.23609018325805664,
0.03173428773880005,
0.2114618718624115,
-0.8378537893295288,
0.4610576033592224,
0.08350936323404312,
-0.6647034883499146,
0.4242188632488251,
-0.20519810914993286,
0.32343894243240356,
-0.43359601497650146,
-0.385200351476669... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Example input: you have encouraged me thank you for sharing
Example output: Hope Speech
Example explanation: The ... | Not Hope Speech | 3 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.14273808896541595,
-0.06875597685575485,
0.17040443420410156,
-0.34631451964378357,
-0.4053821563720703,
-1.0354297161102295,
0.42621082067489624,
0.6641234755516052,
0.049631476402282715,
-0.04136018455028534,
-0.16387920081615448,
0.11219711601734161,
-0.471457302570343,
-0.0113487374... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
E quando ci riescono, hanno risolto il puzzle. | و وقتی این کار انجام شد ، معما حل شده. | 0 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
0.11016959697008133,
0.941199541091919,
-0.3491157293319702,
-0.4626810550689697,
-0.35452964901924133,
0.5358431339263916,
1.1032757759094238,
-0.1491742730140686,
0.5576862692832947,
-0.34153297543525696,
-1.3653886318206787,
-0.1176716685295105,
-0.1604538857936859,
0.4815903306007385,
... |
Given the task definition, example input & output, solve the new input case.
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... | Original | 1 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.19110789895057678,
-0.08510464429855347,
0.5933371782302856,
0.5355106592178345,
0.1878310889005661,
-0.29318511486053467,
0.3234492540359497,
0.7861241102218628,
0.18054600059986115,
-0.2765662968158722,
-0.9205853939056396,
-0.7288693785667419,
-0.19010484218597412,
-0.356937557458877... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Sentence-1: My house is that one right there.<sep>Sentence-2: I live around here .
... | Yes | 1 | NIv2 | task566_circa_classification | zs_opt | [
-0.7237282991409302,
0.4063953161239624,
0.18927127122879028,
0.05617210641503334,
0.24223709106445312,
-0.6136360764503479,
0.4721124768257141,
1.1718409061431885,
0.382426381111145,
0.22720518708229065,
-0.3517337739467621,
-0.025224408134818077,
-0.7849738001823425,
-0.5390442609786987,... |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | false | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-0.7711678743362427,
0.2930781841278076,
0.8202911019325256,
0.27842697501182556,
-0.5934324264526367,
-1.2714259624481201,
0.23616409301757812,
0.8294162750244141,
0.36263975501060486,
0.4610319137573242,
-0.010593820363283157,
-0.3409367501735687,
-0.9718315601348877,
-0.3732457756996155... |
Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Input: ['e', '2121', '4587', '7673', '7325', '4781', '7931', 'H', 'f', 'u', 'O']
Output: | 34418 | 3 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.40119749307632446,
0.548850953578949,
-0.4857105612754822,
-0.7783831357955933,
0.030954523012042046,
-0.6543892621994019,
0.28884726762771606,
-0.2186126708984375,
-0.5321268439292908,
0.08740441501140594,
-1.5566534996032715,
0.17442509531974792,
0.2031545341014862,
-0.719244360923767... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Comment:... | Identity-attack | 0 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.44404035806655884,
0.4254739284515381,
0.630987823009491,
0.43811753392219543,
-0.10474229604005814,
-0.15111754834651947,
0.4379911422729492,
0.43240976333618164,
0.5861666798591614,
0.47594159841537476,
0.13266324996948242,
-0.38197678327560425,
-0.566467821598053,
-0.5293869972229004... |
Teacher:Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability... | È probabile che trovi una persona nel garage. | 6 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
0.15600617229938507,
0.5631504058837891,
-0.38432204723358154,
0.14028841257095337,
-0.4911121129989624,
-0.38768473267555237,
0.7583951950073242,
0.9960131645202637,
0.015584003180265427,
-0.89141845703125,
-0.5963300466537476,
0.3479742705821991,
-0.48061251640319824,
-0.0179376974701881... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | Yes
| 0 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-0.5853118896484375,
0.059419453144073486,
0.14680369198322296,
-0.023178810253739357,
-0.24659325182437897,
-0.676805853843689,
0.31753602623939514,
0.36580219864845276,
0.3437396287918091,
0.3556795120239258,
0.39751043915748596,
0.021948907524347305,
-0.8549002408981323,
-0.718975186347... |
Translation from English to Telugu.
[Q]: No girl could ever smell as sweet.
[A]: సంఖ్య అమ్మాయి ఎప్పుడూ వంటి తీపి పసిగట్టవచ్చు.
[Q]: There you go again.
[A]: అక్కడ మీరు మళ్ళీ వెళ్ళి.
[Q]: Just pay the damn fine, Sorbonne.
[A]: | జస్ట్ తిట్టు జరిమానా , Sorbonne చెల్లిస్తారు.
| 5 | NIv2 | task1330_open_subtitles_en_te_translation | fs_opt | [
-0.25681179761886597,
0.7794541120529175,
-0.04932446777820587,
-0.7100719809532166,
-0.14783796668052673,
-1.3166424036026,
0.3845049738883972,
0.5250732898712158,
-0.27672651410102844,
0.14331039786338806,
0.6026123762130737,
0.058434002101421356,
-0.34422236680984497,
-0.057846501469612... |
You will be given a definition of a task first, then some input of the task.
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"
تبلت... | True | 1 | NIv2 | task396_persianqa_classification | zs_opt | [
-0.3295448422431946,
0.574489951133728,
-0.20736785233020782,
-0.2364729344844818,
-0.5148237943649292,
0.4727773666381836,
0.594755232334137,
0.5336605310440063,
0.11545926332473755,
0.24927599728107452,
-0.3590138852596283,
1.0510692596435547,
-0.25940224528312683,
0.11587931960821152,
... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
You can just type over it. | Potete riscriverci sopra. Vale per tutti i programmi. | 0 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.34244969487190247,
1.097219467163086,
0.061126597225666046,
0.012145629152655602,
0.19673824310302734,
-0.17620007693767548,
0.45278400182724,
0.9435335397720337,
0.06958699226379395,
-0.23887044191360474,
-0.1422640085220337,
-0.07815130054950714,
0.22187645733356476,
0.376036077737808... |
Definition: In this task, an input sentence is given which can be in the English, Bengali, Filipino, Hindi, Indonesian(Bahasa variant), Japanese, Central Khmer, Lao, Malay, Burmese, Thai, Vietnamese or Chinese languages. There are a total of 13 languages. Your task is to identify the language of the input sentence. The... | Lao | 2 | NIv2 | task562_alt_language_identification | zs_opt | [
-0.07623742520809174,
-0.23565733432769775,
0.34916162490844727,
-0.5307406783103943,
0.4650057256221771,
-0.3814067840576172,
0.3369826376438141,
-0.146744042634964,
0.016871239989995956,
-0.44539588689804077,
-0.599425196647644,
0.04861241951584816,
-0.5662356615066528,
-0.13944947719573... |
Definition: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Input: Question: What is the largest city in the sta... | 2 | 2 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.7913831472396851,
0.06178079545497894,
-0.24615728855133057,
-0.5012593865394592,
0.4562026560306549,
0.2760249078273773,
0.659874677658081,
0.9018292427062988,
-0.2840114235877991,
-0.3345955014228821,
-0.06243272125720978,
0.3455577492713928,
-0.5088421106338501,
0.17613084614276886,
... |
Given the task definition and input, reply with output. You are given a statement written in Hindi. 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: चन्द्र सतह पर मौजूद प्रमुख तत्वों की मैपिंग (मान... | अहमदाबाद | 5 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.15570393204689026,
1.125336766242981,
-0.20648494362831116,
-0.6118131875991821,
-0.1276184469461441,
0.11071661114692688,
0.23301291465759277,
-0.01012437604367733,
0.37407100200653076,
-0.35542330145835876,
-0.5791072249412537,
-0.4757538437843323,
0.27275383472442627,
-0.2766269743442... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | a
| 3 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
-0.17539924383163452,
0.04539552703499794,
0.2749035954475403,
-0.13151291012763977,
-0.043975163251161575,
0.13937126100063324,
0.12148302048444748,
1.0888015031814575,
-0.14342394471168518,
0.05920586735010147,
-0.3564402461051941,
-0.10436850786209106,
0.13563600182533264,
-0.3118726611... |
Teacher: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following 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... | "Ang pangongopya ay nanggagaling sa kasinungalingan at pagiging intelektwal na batugan sa parte ng isang indibidwal, pero noong huli sa pagtanggi ng kampanya ni McCain ay pinagtibay na iyun ay kasinungalingan ng isang tao," saad ni Vector. | 2 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
-0.2143762707710266,
0.3854059875011444,
-0.7409776449203491,
-0.027191918343305588,
-0.08351775258779526,
-0.45103543996810913,
0.5774009227752686,
0.5542490482330322,
0.019684333354234695,
-0.7054460048675537,
-0.998487114906311,
0.8055897951126099,
-0.48336371779441833,
0.57120871543884... |
Part 1. Definition
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it s... | Hateful | 7 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.3172175884246826,
0.01714174449443817,
0.49065476655960083,
0.7999262809753418,
0.062451571226119995,
-1.0892084836959839,
0.598033607006073,
0.942503809928894,
0.5773801803588867,
0.2746921479701996,
-0.1255105882883072,
0.25557851791381836,
-0.2367839217185974,
-0.7330949306488037,
... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Q: Article: malaysian share prices surged #.# percent higher friday driven by an overnight recovery on wall street as investors bou... | yes | 4 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.5991179347038269,
0.29303717613220215,
0.011693963780999184,
-0.27817997336387634,
-0.4051346778869629,
0.17596803605556488,
0.7367715835571289,
0.5173732042312622,
-0.2816755175590515,
0.14026117324829102,
-0.6742362976074219,
0.4467970132827759,
-0.2963220477104187,
0.0970783010125160... |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
See one example below:
Problem: 3, ['a', '34', 'f', '931', '7', '3432', '13245'... | F, o, 2341, G, 8033, K, I, 827, i, K | 4 | NIv2 | task063_first_i_elements | fs_opt | [
-0.03525683283805847,
0.08386059105396271,
-0.566577672958374,
-0.7881496548652649,
-0.11318206787109375,
-0.2727739214897156,
0.23169973492622375,
0.7930808663368225,
-0.39746397733688354,
0.42320263385772705,
-0.842758297920227,
-0.12644663453102112,
0.06184934824705124,
-0.1455031782388... |
Given the task definition, example input & output, solve the new input case.
The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do th... | person y to be healthy | 1 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.2727709710597992,
0.646828293800354,
0.08815015107393265,
-0.1978517472743988,
-0.05485689640045166,
-0.5270931720733643,
0.8428774476051331,
0.618234395980835,
0.34508606791496277,
-0.3283097743988037,
-0.2767035961151123,
-0.17223608493804932,
-0.4447007477283478,
0.29100027680397034,... |
In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking court which establishes a ... | overruling
| 0 | NIv2 | task274_overruling_legal_classification | fs_opt | [
-0.3471834063529968,
0.6474014520645142,
0.7256942987442017,
-0.1576860249042511,
-0.091031014919281,
-1.2713004350662231,
0.37642502784729004,
0.9881143569946289,
0.3663073182106018,
-0.2924812436103821,
-0.4857787489891052,
-0.5987603068351746,
-0.8025235533714294,
-0.18129044771194458,
... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
... | select the rows whose high points record is greater than 35 . there is only one such row in the table . | 9 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.09475995600223541,
-0.23762670159339905,
-0.38656604290008545,
0.11006685346364975,
0.029332540929317474,
-0.3694341778755188,
0.3627447187900543,
0.7223395109176636,
0.12235567718744278,
-0.09786099940538406,
-0.4805699586868286,
-0.2663944959640503,
0.05784684792160988,
0.5919326543807... |
Detailed Instructions: Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
See one example below:
Problem: Then, the camel stops and the woman gets down from the camel.
Solution: A woman rides a camel holding a rode with her right han... | She pours various liquids into the glass and mixing it around with a mixer. | 4 | NIv2 | task455_swag_context_generation | fs_opt | [
0.1731715053319931,
0.8054822683334351,
-0.5096285939216614,
-0.15658867359161377,
-0.6528410911560059,
-0.515377938747406,
0.09404131770133972,
1.273667812347412,
0.5768349170684814,
-0.02782842144370079,
-0.7666841745376587,
0.24221426248550415,
-0.6446793675422668,
0.19642063975334167,
... |
instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
question:
Às vezes presumem que sou surdo.
answer:
A volte credono che io sia sordo.
question:
E o KIPP está a fazê-lo.
answer:
Tutti devono essere coinvolti. E KIPP lo fa.
question:
Isto foi em 2007.... | e questo era il 2007.
| 9 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-1.168503999710083,
1.2329516410827637,
-0.16401609778404236,
-0.022496361285448074,
-0.4181920289993286,
-0.5453799366950989,
0.34169983863830566,
0.4713628888130188,
0.4201089143753052,
0.07228913903236389,
-0.4910168945789337,
0.42024534940719604,
-0.5277844071388245,
0.7172504663467407... |
Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Input: 6, ['d', '3839', 's', '2519', '1967', 'j', '9715', 'l', 'f', '6623', 'b', 'G', 'Z... | d, 3839, s, 2519, 1967, j | 3 | NIv2 | task063_first_i_elements | zs_opt | [
0.12679171562194824,
0.5101884007453918,
-0.25447583198547363,
-0.6867944002151489,
-0.4199342131614685,
-0.0530155673623085,
0.6690802574157715,
0.01161469891667366,
-0.33216559886932373,
-0.41805195808410645,
-1.261222004890442,
-0.1581186056137085,
-0.39807480573654175,
-0.2939467132091... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Comment: 'The Boss' - respectfully, it wasn't th... | Non-threat | 0 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.7616299390792847,
1.0041335821151733,
0.6646980047225952,
0.18631678819656372,
-0.47261103987693787,
-0.25750046968460083,
1.3205922842025757,
0.8961411714553833,
0.08406372368335724,
0.4785219132900238,
-0.11927105486392975,
0.029079031199216843,
-0.46280863881111145,
-0.60475206375122... |
Teacher: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not genera... | B | 2 | NIv2 | task309_race_answer_generation | fs_opt | [
0.07762454450130463,
0.04089891165494919,
-0.3537656366825104,
-0.8003949522972107,
0.11164629459381104,
-0.41772738099098206,
1.371746301651001,
0.9417107701301575,
-0.19699960947036743,
-0.22805389761924744,
-0.08180233836174011,
-0.022157851606607437,
0.279879093170166,
-0.0216472074389... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Example input: Context: Architecturally, the school has a Catholic character. Atop the Main Building's gold dome is a golden statue of t... | amino acids | 3 | NIv2 | task469_mrqa_answer_generation | fs_opt | [
0.7368263006210327,
0.8224242925643921,
-0.39505985379219055,
-0.24459685385227203,
0.2971835732460022,
-0.8408814072608948,
0.229142427444458,
1.078694224357605,
-0.48556387424468994,
0.44640395045280457,
-0.11021748185157776,
0.2594282627105713,
0.021622110158205032,
0.582011342048645,
... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
--------
Question: Context: We aimed to study the association between cytomegalovirus (CMV) infection and hypertension in Kazakh and Han populations... | These data reveal a role for WAVE2 in regulating multiple pathways leading to T cell activation. In particular, this work shows that WAVE2 is a key component of the actin regulatory machinery in T cells and that it also participates in linking intracellular calcium store depletion to calcium release-activated calcium (... | 7 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.8291972279548645,
0.43281644582748413,
-0.5581614971160889,
-0.3749161660671234,
0.7641099691390991,
-0.27640435099601746,
0.5712389349937439,
0.8365911245346069,
0.15542922914028168,
0.03984992951154709,
-0.21329054236412048,
0.19956670701503754,
-0.5789894461631775,
0.776877760887146,
... |
TASK DEFINITION: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
PROBLEM: different gear, still speeding
SOLUTION: What is the name of Liam Gallagher's new band, whose first album is 'Different Gear, Still Speeding'?
PROBLEM: antoine fuqua
SOLUTIO... | What member of the music and comedy duo The Flight of the Conchords was recently seen, under heavy disguise, as the Boris the Animal in the film Men in Black 3?
| 8 | NIv2 | task897_freebase_qa_topic_question_generation | fs_opt | [
0.1622529774904251,
0.8423814177513123,
-0.4378098249435425,
-0.21387045085430145,
0.07024537771940231,
0.7170536518096924,
0.2613505721092224,
-0.07606078684329987,
-0.4516909718513489,
0.2572963237762451,
0.24374690651893616,
-0.4961087107658386,
-0.39976170659065247,
-0.8326120376586914... |
Detailed Instructions: 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 even 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 even numbers i... | [-1056, 968, 1656, -3960, 92160, -384, 240, 0, -2, -4, 36, 16, -38, 0, -12] | 8 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
0.07441438734531403,
0.571719765663147,
-0.4614097476005554,
-0.4801236391067505,
-0.2928647994995117,
-0.21063794195652008,
1.3163127899169922,
0.17628911137580872,
-0.05250327289104462,
-0.23846834897994995,
-0.7571185827255249,
0.19957846403121948,
-0.6739586591720581,
-0.45221754908561... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Q: Sentence: 'asian fisherman standing up paddling boat with oar'. Count the number of vowels in the given sentence.
A: | 16 | 4 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.5453780293464661,
0.6434902548789978,
-0.8586739897727966,
-0.8395330309867859,
-0.05949625000357628,
-0.07024544477462769,
0.24227067828178406,
0.5617302656173706,
0.010862212628126144,
0.024317601695656776,
-0.21958620846271515,
-0.3704414665699005,
-0.2614181935787201,
-0.568598926067... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: Nie oznacza to, że malarii nie da się pokonać, bo uważam, że się da, ale może zaatakujmy tę chorobę zgodnie z priorytetami ludzi, którzy z nią żyją?
Student... | Não digo que a malária seja inconquistável porque acho que é, mas e se atacassemos esta doença de acordo com as prioridades das pessoas que vivem com ela? | 6 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.4866110682487488,
0.5056769847869873,
-0.24331101775169373,
-1.1084578037261963,
-0.30411460995674133,
-0.7017289400100708,
0.7234905958175659,
0.6269205808639526,
0.7530697584152222,
-0.2735517621040344,
-0.10978354513645172,
0.5572022199630737,
-0.3665445148944855,
0.08168783038854599... |
Detailed Instructions: In this task, you are given a question in Persian, and your task is to translate it into English.
Problem:نمونه هایی از احمق بودن توسط هندی ها چیست؟
Solution: | What are some examples of stupidity by Indians? | 8 | NIv2 | task653_parsinlu_fa_en_translation | zs_opt | [
0.06090063974261284,
0.5352215766906738,
0.4450199007987976,
-0.3679879903793335,
-0.469973087310791,
-0.38397935032844543,
0.995995283126831,
0.27711600065231323,
-0.25073128938674927,
-0.6624740362167358,
-0.704400360584259,
-0.38935577869415283,
0.2928164601325989,
-0.09037895500659943,... |
You will be given a definition of a task first, then some input of the task.
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 tex... | Timothy Bussey | 1 | NIv2 | task339_record_answer_generation | zs_opt | [
-0.2166849821805954,
0.5665023326873779,
0.12080971896648407,
-0.033015985041856766,
0.7085060477256775,
-0.27481430768966675,
0.3016992211341858,
0.31408363580703735,
-0.22261366248130798,
0.7237108945846558,
1.0799341201782227,
1.151825189590454,
-0.09550429880619049,
-0.3416401743888855... |
Teacher:In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Teacher: Now, un... | 53421 | 6 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.42789947986602783,
0.07618967443704605,
0.5939935445785522,
-0.8200356960296631,
0.2347429394721985,
-0.25442636013031006,
0.1980609893798828,
0.5306425094604492,
-0.4065544903278351,
0.3649047017097473,
-0.7906116247177124,
-0.5407668352127075,
-0.5960004329681396,
-0.2555842697620392,... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Ex Input:
"उन्होंने व्यक्त किया कि उनका इरादा इस आबादी को अपमानित करने का नह... | The defense barrister warned the jury to ignore the comments of the press as they may have convicted the defendant before the trial has begun.
| 1 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-0.3319898247718811,
-0.4468804597854614,
0.3697769343852997,
0.08691685646772385,
0.16057153046131134,
-0.20030708611011505,
-0.1036740243434906,
0.5573322772979736,
-0.14412418007850647,
-0.2281477302312851,
-0.43682074546813965,
0.058126699179410934,
-0.5216009616851807,
0.1452669799327... |
instruction:
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.
que... | On Christmas Eve, in 19th century London, Ebenezer Scrooge, a surly moneylender, does not share the merriment of Christmas. He declines his nephew Harrys invitation for Christmas dinner and reluctantly gives his loyal employee Bob Cratchit Christmas Day off. Cratchit and his children go shopping and prepare for the hol... | 9 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.8666732311248779,
0.27729326486587524,
-0.4500190019607544,
0.11823566257953644,
0.05003151670098305,
-0.8182341456413269,
1.0435670614242554,
1.1242735385894775,
0.1991925984621048,
0.08876493573188782,
-0.22538796067237854,
0.6617952585220337,
-0.29433465003967285,
0.8360544443130493,
... |
TASK DEFINITION: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
PROBLEM: Quality product that adds the small detail to a well detailed car. Buy a couple of pairs, unfortunately other people like ... | negative
| 8 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.1881573498249054,
0.17154262959957123,
-0.24581432342529297,
-0.45740005373954773,
0.12681156396865845,
-0.14089208841323853,
1.3204878568649292,
0.8694924712181091,
-0.20139092206954956,
0.7198525071144104,
0.3854069113731384,
0.19085222482681274,
-0.8366081118583679,
-0.14219987392425... |
Part 1. Definition
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Part 2. Example
وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
Answer: و آنگاه آنها کُد می نوشتن... | اون در سال 1986 از ويتنام به اين كشور اومد. | 7 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.3248269855976105,
0.15751400589942932,
-0.5889130234718323,
-0.32261040806770325,
0.27836957573890686,
0.25868430733680725,
1.2176927328109741,
-0.20202431082725525,
0.10415121167898178,
-0.28306350111961365,
-0.6243516206741333,
0.21474170684814453,
-0.3106861114501953,
0.4225406944751... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: אפילו 10 שנים מאוחר יותר, הם עדיין זוכרים את העצות שקיבלו.
Student: | حتی ۱۰ سال بعد هم ، توصیه ای که دریافت کرده اند را هنوز به خاطر دارند. | 6 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.3586598038673401,
0.6257437467575073,
-0.18617835640907288,
-0.13628876209259033,
-0.5224156379699707,
-0.9127376675605774,
1.499014973640442,
0.3020923137664795,
0.539696455001831,
-0.4147835969924927,
-0.5397801995277405,
0.4165765643119812,
-0.8436824083328247,
0.46173909306526184,
... |
This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
One example is below.
Q: Fact: deep sea animals live deep in the ocean. Question: Frilled sharks and a... | fire | 9 | NIv2 | task1400_obqa_incorrect_answer_generation | fs_opt | [
-0.37434014678001404,
0.16179105639457703,
-0.6418627500534058,
-0.1025395542383194,
-0.3800935745239258,
-0.5375677347183228,
0.16875633597373962,
-0.047267403453588486,
-0.37258946895599365,
-0.033757470548152924,
-0.2216639220714569,
0.015800070017576218,
-1.173197865486145,
-0.12316146... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
これはちょっとした驚きですねなぜなら我々は視覚というものはカメラのようなものに過ぎないと考えているからです
A: | الان این یک کمی شگفت انگیز میشه ، چون تا حدی که ما در مورد بینایی اطلاع داریم ٬ از بینایی مثل یک دروبین یاد میکنیم. | 7 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
0.14901049435138702,
0.5016780495643616,
-0.028871800750494003,
-0.25413763523101807,
-0.15152540802955627,
-0.6925020217895508,
0.07899302244186401,
0.4853436350822449,
0.70558762550354,
-0.13983047008514404,
-0.7330559492111206,
-0.1706562042236328,
-0.6503400206565857,
0.433481484651565... |
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.
Q: Isigulo saselwandle sifumaneka msinyane xa umntu esebenza phakathi enqanaweni, ngakumbixa ugobele phambili, untloko isezantsi, umzekelo, kwindawo eng... | Nowadays the conventional mast is very much less in evidence.
****
| 4 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
-0.3449164032936096,
0.43051278591156006,
-0.36650294065475464,
-0.6070877313613892,
0.2648468315601349,
-1.0354431867599487,
0.8583434820175171,
0.593828558921814,
-0.1273164302110672,
-0.18227878212928772,
0.077924445271492,
-0.7607697248458862,
-0.2515460252761841,
0.10272099077701569,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Non-obscene
| 5 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.22346964478492737,
0.3521839678287506,
0.4357075095176697,
-0.32706907391548157,
0.7981889247894287,
-0.7418840527534485,
0.24526846408843994,
1.3606069087982178,
0.2925266921520233,
0.4752333164215088,
-0.13973969221115112,
0.24309802055358887,
-0.032747842371463776,
-0.502231478691101... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Q: Comment: And it also protects those ignorant of the constitution it... | Non-sexual-explicit | 4 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-1.077825665473938,
0.3993103802204132,
0.8529709577560425,
0.08073525130748749,
-0.26622918248176575,
-0.6512194871902466,
0.10756780952215195,
-0.0007419131579808891,
-0.0418798066675663,
0.5940693616867065,
-0.17892859876155853,
-0.4086253046989441,
-0.6138333082199097,
-0.7663381099700... |
Teacher:In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Teacher: Now, un... | 1 | 6 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.19724678993225098,
0.13896244764328003,
-0.05395011231303215,
-0.4790317416191101,
-0.41389381885528564,
0.043893344700336456,
0.40206730365753174,
0.8685239553451538,
-0.15728290379047394,
-0.1597619652748108,
-0.5114909410476685,
-0.037902336567640305,
-0.6849830746650696,
-0.38078731... |
Instructions: In this task, you are given books product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Trop court . Ce livre est en fait une courte nouvelle de J. Echenoz (à... | NEG | 3 | NIv2 | task482_cls_french_books_classification | zs_opt | [
-0.68644779920578,
0.2434564232826233,
0.3981722295284271,
-0.14518532156944275,
0.8944021463394165,
-0.3809925317764282,
0.8323424458503723,
-0.09404991567134857,
0.26362258195877075,
0.7579748630523682,
-0.7963500022888184,
-0.4993823170661926,
-0.020853443071246147,
-0.5091334581375122,... |
Detailed Instructions: In this task, you are given dvd 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: Effektive Fettverbrennung! . Diese DVD bietet ein einfaches Workout... | POS | 9 | NIv2 | task480_cls_german_dvd_classification | zs_opt | [
-0.3437773585319519,
-0.023252826184034348,
-0.7408767938613892,
-0.22789058089256287,
0.04475647211074829,
0.1799328476190567,
1.417627215385437,
0.2894660234451294,
0.41085320711135864,
0.5324308276176453,
-0.3271852135658264,
-0.644071638584137,
-0.47300371527671814,
-0.0092464964836835... |
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... | PdTTSbJafgiiooptyMhswJvx, RkFjafgiiooptyYJOYXC
| 1 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.7442256808280945,
0.23529775440692902,
-0.33063825964927673,
0.45370858907699585,
0.37038254737854004,
-0.18255890905857086,
0.847411036491394,
0.4205560088157654,
-0.7204623222351074,
0.15029698610305786,
-0.8488008975982666,
-0.9263531565666199,
-0.008371997624635696,
-0.21550150215625... |
TASK DEFINITION: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
PROBLEM: Human eye are only about _ times sharper than a jumping spider's.
SOLUTION: five
PROBLEM: Microsporophylls bear two to _ microsporangia.
SOLUTION: eight
PROBLEM: Handed people l... | nine
| 8 | NIv2 | task672_nummersense | fs_opt | [
0.7155339121818542,
0.1662338674068451,
-0.6114702224731445,
-0.458290159702301,
-0.03952958062291145,
-0.18285560607910156,
0.8353419303894043,
-0.23739272356033325,
-0.05581776797771454,
-0.4558550715446472,
-0.23285071551799774,
-0.2260553538799286,
-0.9881139397621155,
0.36399492621421... |
Detailed Instructions: This task is about translating a given Yoruba language sentence to English.
Problem:Mo dẹ̀ ní àkókó ìparí kan
Solution: | I have a deadline | 8 | NIv2 | task1686_menyo20k_translation | zs_opt | [
1.2092211246490479,
-0.05812406539916992,
0.04187633469700813,
-0.23544685542583466,
-0.05006788671016693,
-0.5628252029418945,
-0.2110329270362854,
0.6434595584869385,
0.1775262951850891,
-0.6267873048782349,
0.062463536858558655,
0.11361043155193329,
-1.4093223810195923,
0.22874277830123... |
Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Example input: Who influenced the fundamentalist sorry no non-Taliban ideology?
... | disfluent | 3 | NIv2 | task1623_disfl_qa_disfluent_question_classification | fs_opt | [
0.16364118456840515,
0.2808935046195984,
-0.44336915016174316,
0.007135160733014345,
-0.45912104845046997,
-0.4906362295150757,
1.1207695007324219,
-0.05044352263212204,
0.01895127072930336,
0.1659216582775116,
-0.43810489773750305,
-0.6580991744995117,
-0.7940233945846558,
-0.152821421623... |
TASK 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. Y... | No
| 8 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.33582156896591187,
0.24942319095134735,
0.27767154574394226,
-0.21113170683383942,
-0.24686825275421143,
-0.5316917896270752,
1.371145248413086,
0.3760003447532654,
-0.29641830921173096,
-0.4489245116710663,
-0.25838804244995117,
-0.7961642742156982,
-0.7991306781768799,
0.21997305750846... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | World | 4 | NIv2 | task379_agnews_topic_classification | zs_opt | [
0.12792637944221497,
0.26630711555480957,
-0.05121542885899544,
0.3643021881580353,
-0.1784464716911316,
0.029064912348985672,
0.19249948859214783,
-0.4940788149833679,
0.128865048289299,
0.6845556497573853,
-0.8581166863441467,
0.6751351952552795,
-0.06250359117984772,
-0.1973588168621063... |
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... | What will you do at the end of the week ?
| 5 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.40290960669517517,
0.6457216739654541,
-0.7177441716194153,
0.28879809379577637,
-0.055069733411073685,
-0.22129005193710327,
0.1442163586616516,
1.1003053188323975,
0.3629467785358429,
-0.1580779105424881,
-0.39092177152633667,
0.6658005714416504,
-0.6586713790893555,
0.5122686624526978... |
instruction:
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not roun... | [-16.0, -58, 326, 6.0, -10.0]
| 9 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.629360020160675,
0.3988747000694275,
-0.019077856093645096,
-0.3630349636077881,
0.0956771969795227,
-0.09845513105392456,
1.41900634765625,
0.17218603193759918,
-0.5916492938995361,
0.12218335270881653,
-0.9791396856307983,
-0.16496098041534424,
-0.5434497594833374,
-0.1883385777473449... |
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | True | 0 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.5893466472625732,
0.0485868975520134,
0.23560166358947754,
-0.378364235162735,
-0.04878132417798042,
-0.2821260094642639,
0.9072052836418152,
0.8209328055381775,
0.32457059621810913,
0.34136444330215454,
-0.6168183088302612,
-0.007967274636030197,
-0.20782482624053955,
0.037958435714244... |
Detailed Instructions: In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to ... | Johnny fell down a hill. | 4 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.19316264986991882,
0.41823363304138184,
-0.1610933244228363,
-0.6443348526954651,
-0.5754802227020264,
0.13221244513988495,
0.4734318256378174,
0.5372544527053833,
-0.047062117606401443,
-0.24880355596542358,
-0.7101794481277466,
0.38996073603630066,
0.2415810525417328,
0.00454170210286... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if th... | no | 1 | NIv2 | task241_tweetqa_classification | fs_opt | [
0.00808320939540863,
0.03454933688044548,
0.12830936908721924,
0.4079543948173523,
0.415993332862854,
-0.328572154045105,
-0.15402081608772278,
0.39164191484451294,
-0.5485532879829407,
0.6247977018356323,
0.12704798579216003,
-0.0681387335062027,
-0.07380068302154541,
-0.18205109238624573... |
Instructions: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Input: English sentence: Ephesians 6:12 indicates that we (all believers) wrestle against evil spiritual forces.
Output: | Sinasabi sa Efeso 6:12 na tayo (mga mananampalataya) ay nakikibaka laban sa mga masasamang puwersa. | 3 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.4419047236442566,
0.3608761429786682,
-0.11932099610567093,
-0.5860693454742432,
-0.13674159348011017,
-1.5410346984863281,
1.0162838697433472,
0.3320177495479584,
0.3237766921520233,
-0.07776528596878052,
0.021303243935108185,
0.7213547825813293,
-0.8568071126937866,
-0.4432932138442993... |
Definition: "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 expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and".... | Response 1 | 2 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.36050742864608765,
0.7129629254341125,
0.5229747891426086,
-0.18997758626937866,
0.20726436376571655,
-0.6979937553405762,
0.33722400665283203,
0.38239216804504395,
0.07609858363866806,
-0.49253854155540466,
-0.5308458805084229,
0.1904507726430893,
-0.7797237634658813,
0.2073399722576141... |
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'.
Dialogue 1: 'feeling like a heart broken baby why so sad ' c elevate my mood then'. Dialogue 2: 'r ... | no | 0 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.93939608335495,
0.5704178810119629,
0.6186737418174744,
-0.47409528493881226,
-0.45114654302597046,
0.216517373919487,
1.379622459411621,
-0.006769412197172642,
-0.2155372053384781,
-0.32277265191078186,
0.07758339494466782,
-0.9116095900535583,
-0.7421128153800964,
0.3944343328475952,
... |
Generate a correct and concise answer for the question based on the words in the context.
Q: Context : Cara Black (born 17 February 1979 in Salisbury, Rhodesia - now Harare, Zimbabwe) is a professional tennis player from Zimbabwe.
Question : What city is Cara Black associated with?
A: | Harare | 4 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
0.18670256435871124,
0.9934457540512085,
-0.6557120084762573,
0.5437899827957153,
0.3189699649810791,
-0.23106679320335388,
0.3135857880115509,
0.3519670367240906,
0.6990978121757507,
-0.1664074957370758,
0.1053861454129219,
1.3870480060577393,
-0.6389849781990051,
-0.05220197141170502,
... |
This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Let me give you an example: Fact: deep sea animals live deep in the ocean. Question: Frilled sharks a... | the rain is invisible | 8 | NIv2 | task1400_obqa_incorrect_answer_generation | fs_opt | [
-0.440605103969574,
0.23041008412837982,
-0.5323333740234375,
-0.28726261854171753,
-0.543032169342041,
-0.6973819732666016,
0.26884227991104126,
0.17064011096954346,
-0.8297359943389893,
0.053332410752773285,
-0.3155442178249359,
-0.13836677372455597,
-0.9279005527496338,
-0.0965196862816... |
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: In May, 2014, some Chinese to... | No | 0 | NIv2 | task310_race_classification | zs_opt | [
0.21657466888427734,
0.049000415951013565,
-0.1655977964401245,
-0.02544567920267582,
-0.0964212566614151,
0.47784093022346497,
0.7888022661209106,
0.6176360845565796,
-0.3950280547142029,
0.4628355801105499,
0.4602659046649933,
0.9510446786880493,
-0.24673481285572052,
0.01190564036369323... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Q: Sentence: 'DOE- The Department of Energy will hold an open meeting of the Unconventional Resources Technology Advisory Committee on September 11-12 ,... | be locate in
****
| 4 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.08923710882663727,
-0.47668027877807617,
-0.04958570376038551,
-0.9380064010620117,
-0.515332818031311,
-1.376402735710144,
0.11198818683624268,
1.0318784713745117,
-0.3064998686313629,
0.2801457643508911,
0.7019755840301514,
0.07044525444507599,
-0.6532866358757019,
0.04231591150164604... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | [105, 195, 152, 132, 160] | 0 | NIv2 | task374_synthetic_pos_or_neg_calculation | zs_opt | [
-0.5649087429046631,
0.28287839889526367,
-0.03618624806404114,
-0.2891855239868164,
0.0815933495759964,
-0.06879091262817383,
1.2180159091949463,
0.19179897010326385,
-0.23854999244213104,
0.3811957836151123,
-0.7638015747070312,
0.15459570288658142,
-0.4510747790336609,
-0.46582570672035... |
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).
Example: Jag förklarar debatten avslutad.
Example solution: The debate is c... | Solution: I envisage that the board's membership will be made up from stakeholders or representatives of stakeholders. | 5 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.11583717167377472,
0.708399772644043,
0.9530046582221985,
-0.6646932363510132,
-0.07533978670835495,
-0.42119407653808594,
0.9270657300949097,
0.29621750116348267,
0.7135986089706421,
-0.2586115598678589,
0.35097214579582214,
0.9475350379943848,
-0.8252862691879272,
0.11612267047166824,... |
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
Example input: It 's a lovely film with lovely performances by Buy and Accorsi .
Example output: POS
Example explan... | POS | 3 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.7006565928459167,
0.3457067608833313,
0.12903019785881042,
-0.0691341981291771,
0.0048178983852267265,
-0.35946911573410034,
0.5044291019439697,
0.33723515272140503,
-0.28504085540771484,
0.9919028878211975,
-0.7376011610031128,
-0.4063783884048462,
0.23579689860343933,
0.41573569178581... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Example: (Applause) However there is a political battle in our country.
Output: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
The English sentence is... | هناك طفل قد حقنت والدته ذراعها بإبرة مخدرات وغابت عن الوعي ، ولا يعرفُ لماذا لم تحضر له العشاء ، ويذهبُ إلى فراشه جائعًا تلك الليلة. | 1 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
-0.08335892856121063,
0.3159863352775574,
0.27546173334121704,
-0.4378208518028259,
-0.12102526426315308,
-0.025762297213077545,
0.6327164173126221,
0.13919538259506226,
0.06662435829639435,
0.40183931589126587,
-0.3464372456073761,
-0.003311718814074993,
-0.7405469417572021,
-0.1623279452... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Classify the given hotel review based on the sentiment it expresses into two classes: negative and positive.
I stayed at the Hilton Chicago for my cousins wedding. The service was impeccable. Not on... | negative | 0 | NIv2 | task902_deceptive_opinion_spam_classification | fs_opt | [
-0.10271672159433365,
0.10370182991027832,
-0.7241243124008179,
0.08380548655986786,
0.12280876189470291,
-0.5890315771102905,
0.4562951922416687,
1.1299312114715576,
0.09256690740585327,
0.026147086173295975,
0.31515640020370483,
0.2205020934343338,
-0.18741941452026367,
-0.16591428220272... |
You will be given a definition of a task first, then some input of the task.
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 h... | unrelated | 1 | NIv2 | task318_stereoset_classification_gender | zs_opt | [
-0.3390440344810486,
0.4535068869590759,
0.25083011388778687,
-0.2574906349182129,
-0.21474908292293549,
0.14951029419898987,
0.27889513969421387,
0.7653707265853882,
0.5179154872894287,
-0.22129525244235992,
-0.1872684508562088,
-0.12714388966560364,
-0.17377787828445435,
-0.0723513513803... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Q: Relationship: 'say in', Argument/Subject 1: 'bill', Argument/Subject 2: 'time'
A: A New York Times report Tuesday said under both former president Bill Clinton and Bush , t... | The Bishops of Rome petitioned Pope Clement VIII to forbid coffee drinking to all of Christendom .
****
| 4 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
-0.41246917843818665,
0.8131945133209229,
-0.08678902685642242,
-0.023416373878717422,
0.061371371150016785,
-1.2230753898620605,
0.2638143301010132,
0.7218998670578003,
0.7011122703552246,
0.3557271957397461,
0.40575703978538513,
0.5502037405967712,
-0.09570188075304031,
-0.31284195184707... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
[Q]: It didn't remove scuffs or water marks. It didn't seem any different than Lexol.
[A]: About the same as Lexol and other big box cleaners and conditioners
[Q]: My dog wouldn't eat them. They were delive... | Very sad that when we took it out the package it ...
| 5 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
-0.9326592683792114,
0.634409487247467,
0.01985916867852211,
-1.194050669670105,
-0.31070050597190857,
-0.5627201795578003,
0.3077211081981659,
0.3066215515136719,
-0.2271188497543335,
-0.003254402196034789,
0.06324564665555954,
0.5544048547744751,
-0.9805850982666016,
-0.15009672939777374... |
Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answ... | My dog want(s) to bark >Motivates> My dog barks | 3 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.1898989975452423,
0.0025385550688952208,
-0.18538719415664673,
0.5099944472312927,
-0.0033252236898988485,
-0.20105379819869995,
0.47256356477737427,
0.8255020976066589,
-0.42896217107772827,
-0.5035778284072876,
-0.6803971529006958,
0.2611714005470276,
-0.9369013905525208,
-0.428427517... |
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.
Let me give you an example: I have bought several of the Vitality canned dog food products and have found them ... | WOW Make your own 'slickers' ! | 8 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.6504218578338623,
-0.39778363704681396,
-0.038993000984191895,
-0.13692063093185425,
0.2134793996810913,
-0.30064091086387634,
0.45578819513320923,
0.9746198654174805,
-0.08148860931396484,
0.4057978391647339,
0.16977234184741974,
0.2224266678094864,
-0.49858179688453674,
-0.13575367629... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Q: 違うんです
A: | Error. | 9 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
0.13006456196308136,
0.8680593967437744,
0.23187515139579773,
-0.5852882266044617,
0.33517640829086304,
-0.9271129965782166,
-0.3637484610080719,
0.46049708127975464,
0.14299751818180084,
-0.7452542781829834,
-0.2513887882232666,
-0.08595186471939087,
-0.856812059879303,
0.0173309594392776... |
Given the task definition and input, reply with output. Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: hello, can i have the hat and book? you can have all 4 balls YOU: sure! deal THEM: thank you.
| Yes | 5 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.2638762295246124,
1.1250979900360107,
-0.0464051216840744,
0.7372266054153442,
0.015110723674297333,
-0.5883645415306091,
0.43468594551086426,
-0.6442044973373413,
0.5512856841087341,
-0.8299434185028076,
-0.12939617037773132,
0.5167940855026245,
-0.045322977006435394,
-0.281104624271392... |
Part 1. Definition
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note tha... | ab | 7 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.13144809007644653,
0.05703256279230118,
-0.4244272708892822,
0.2915428876876831,
0.18493463099002838,
0.1736593246459961,
0.47137901186943054,
1.0223184823989868,
0.16057991981506348,
0.6436408162117004,
-0.5625206828117371,
0.04970049485564232,
0.008651979267597198,
-0.0607393234968185... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: the bank of england on thursday announced a package of <unk> measures backed by other central banks including the us fede... | no | 0 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.16171464323997498,
-0.014419618993997574,
0.08649009466171265,
0.23391185700893402,
-0.4097483456134796,
-0.4547996520996094,
0.9664571285247803,
0.1321152001619339,
0.11215072870254517,
-0.30698877573013306,
-0.5576623678207397,
0.17927294969558716,
-0.7094824910163879,
0.4558985531330... |
Given the task definition and input, reply with output. 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.... | English | 5 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.7422505617141724,
0.2806379497051239,
0.6518641114234924,
-0.00837043859064579,
-0.26477596163749695,
-0.2925322651863098,
-0.06706824898719788,
-0.12664169073104858,
0.30967456102371216,
-0.8051307201385498,
-0.7179499268531799,
0.5960958003997803,
0.013672229833900928,
-0.218378663063... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
One example: Preheat oven to 375 degrees., Boil syrup, sugar and shortening over medium heat, stirring constantly., Remove from heat., Gr... | BEEF, beef chuck, shortening, water, kosher salt, black pepper, potatoes, carrots, green bell pepper, green beans, stalks celery, onion, browning sauce, beef bouillon cube, bay leaves, cold water, flour, FLUFFY HERB DUMPLINGS, shortening, all-purpose, baking powder, salt, fresh parsley, fresh herb, milk | 6 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.6799972653388977,
-0.2215544581413269,
-0.3180025517940521,
0.5492078065872192,
-0.1551143079996109,
-0.05677211284637451,
1.1775517463684082,
1.0394744873046875,
-0.43934398889541626,
-0.21451999247074127,
0.22828292846679688,
0.012738240882754326,
-0.5170776844024658,
0.000650479458272... |
Given the task definition and input, reply with output. In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be mu... | False | 5 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.2425815463066101,
0.7385138273239136,
0.04635598137974739,
0.3046092092990875,
-0.18874026834964752,
-0.466955304145813,
0.7920812368392944,
-0.01935727708041668,
0.655310332775116,
-0.05160203576087952,
-0.42925769090652466,
0.4080962538719177,
-0.13108836114406586,
-0.1900834292173385... |
Q: In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Chop chicken breast into chunks., Fry chicken quickly until almost cooked through., Remove chicken from pan., Cook peppers for 2-3 min... | chicken breasts, red pepper, yellow pepper, cheddar cheese, rice, vegetable oil | 7 | NIv2 | task571_recipe_nlg_ner_generation | zs_opt | [
-0.49069660902023315,
-0.02293269708752632,
-0.09429090470075607,
0.7316012382507324,
-0.6294316053390503,
-0.16683301329612732,
1.4457476139068604,
0.2977433204650879,
-0.31882965564727783,
-0.47095218300819397,
-0.11555749922990799,
-0.24802690744400024,
-0.8211808204650879,
0.5330643653... |
Part 1. Definition
In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in th... | HYPOTHETICAL | 7 | NIv2 | task282_scruples_event_time | fs_opt | [
0.34121525287628174,
0.3846319317817688,
-0.039221055805683136,
0.06966673582792282,
0.5192043781280518,
-0.6451172828674316,
1.0511542558670044,
0.9516652822494507,
-0.0991726666688919,
-0.30421823263168335,
-0.9866505861282349,
0.5636521577835083,
-0.502448320388794,
-0.01173134613782167... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Foram estabelecidas quase 200 organizações em Benghazi durante e imediatamente após a queda de Kadhafi – quase 300 em Trípoli. | Se establecieron aproximadamente 200 organizaciones en Bengasi durante, e inmediatamente después de la caída de Gaddafi. Aproximadamente 300 en Tripoli. | 0 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.37127387523651123,
0.30659011006355286,
-0.008263129740953445,
-0.2176869511604309,
-0.4686710238456726,
-0.5097386837005615,
0.7116408348083496,
0.5764384865760803,
0.5959591269493103,
0.1546567678451538,
-0.6775633096694946,
-0.43406713008880615,
-0.6899186372756958,
0.760151267051696... |
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