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 |
|---|---|---|---|---|---|---|
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Input: וחשוב להבין שזה נכון ולו רק בזכות המהירות.
Output: | Y es importante saber que esto es cierto solo debido a la velocidad. | 2 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.52910315990448,
0.5532499551773071,
0.3285524249076843,
-0.2590543329715729,
-0.5818853378295898,
0.14329852163791656,
0.26778483390808105,
0.1832326054573059,
1.1373804807662964,
-0.802280068397522,
-1.1171060800552368,
-0.12907986342906952,
0.04481920972466469,
0.19009926915168762,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a 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 offens... | Non-obscene | 0 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.6485763788223267,
0.24521149694919586,
0.7141517996788025,
0.24381417036056519,
0.4277821183204651,
-0.20894549787044525,
0.5969202518463135,
0.6722359657287598,
0.34535348415374756,
0.7470864057540894,
0.11297328770160675,
-0.23178496956825256,
0.02419872023165226,
-0.920802116394043,
... |
Given a paragraph about movies and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix... | Output: No
| 2 | NIv2 | task1442_doqa_movies_isanswerable | fs_opt | [
0.6695576310157776,
-0.10063905268907547,
-0.30493414402008057,
0.23797790706157684,
-0.2381896674633026,
-0.2237110435962677,
0.687034010887146,
1.5507515668869019,
-0.19865363836288452,
-0.09603722393512726,
0.14495764672756195,
-0.10313878208398819,
-0.3892771601676941,
0.51388442516326... |
Detailed Instructions: 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.
Q: Person1: I'm sorry , but I can't come to... | 0 | 9 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
0.0979890376329422,
0.04920372739434242,
0.3847559690475464,
-0.3030269742012024,
-0.058865394443273544,
-0.3610715866088867,
0.7565558552742004,
-0.10500303655862808,
0.32774874567985535,
-0.025930199772119522,
-0.5183622241020203,
-0.70697420835495,
-0.14845812320709229,
-0.1019518524408... |
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 and their positions in the s... | 2b, 4c | 4 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.6646112203598022,
0.09467987716197968,
0.22904837131500244,
0.5054633617401123,
-0.13674312829971313,
-0.2716110944747925,
0.20280325412750244,
1.1759815216064453,
-0.33217597007751465,
0.011772704310715199,
-0.3157004714012146,
-0.0816805437207222,
-0.1557692289352417,
-0.3275057673454... |
A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
Example Input: இந்த இரு நாட்டு மக்களுக்கும் மேலும் அதிகமான வாய்ப்புகளை வழங்கவும், பொதுவான பொறுப்புணர்வை உருவாக்கவும் வானொலி, அச்சு ஊடகம், தொலைக்காட்சி, சம... | നിരവധി നയപ്രശ്നങ്ങളില് വിലമതിക്കാനാകാത്ത ആയിരക്കണക്കിന് നിര്ദ്ദേശങ്ങള് ഞങ്ങള്ക്ക് ലഭിച്ചിട്ടുണ്ട്.
| 3 | NIv2 | task1000_pib_translation_tamil_malayalam | fs_opt | [
-0.110707588493824,
0.17160283029079437,
-0.6312882900238037,
-0.04645921289920807,
0.690261960029602,
0.15519624948501587,
0.2231571078300476,
0.4934285283088684,
-0.6089821457862854,
-0.32305359840393066,
-0.27233797311782837,
0.1498834788799286,
-0.5748921036720276,
-0.12925812602043152... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | (6, 7) | 4 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.7803099155426025,
0.792962372303009,
-0.5365867614746094,
-0.6842209100723267,
-0.2295999825000763,
0.1195298284292221,
0.4214516878128052,
0.45657211542129517,
0.11933176219463348,
-0.13951343297958374,
-0.43822136521339417,
-0.04123716056346893,
-0.27881985902786255,
-0.21894280612468... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | red_cupboard | 0 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
0.09914414584636688,
0.049483783543109894,
-0.1931704431772232,
-0.08111034333705902,
-0.4700809717178345,
-0.7377614378929138,
0.31329113245010376,
0.5382391810417175,
0.07496620714664459,
-0.10647457093000412,
-0.1863911747932434,
0.7860968708992004,
-0.13211077451705933,
-0.166299432516... |
In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Example Input: Sentence: The... | Male
| 3 | NIv2 | task341_winomt_classification_gender_anti | fs_opt | [
-0.94278883934021,
0.6063140630722046,
-0.1976674497127533,
-0.9302754402160645,
0.37351667881011963,
-0.5331202745437622,
-0.2768790125846863,
0.6322027444839478,
0.8589750528335571,
0.572629451751709,
-1.296607494354248,
-0.469950795173645,
-0.7566362619400024,
-0.46463555097579956,
0.... |
Definition: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Catalan 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 Catalan ... | La señora Jennings volvió a repetir cuán segura estaba de que la señora Dashwood podría pasarse muy bien sin ellas; y Elinor, que ahora comprendía a su hermana y veía cuán indiferente a casi todo lo demás la hacía su ansiedad por volver a ver a Willoughby, no planteó ninguna otra objeción directa al plan; se limitó a r... | 2 | NIv2 | task1652_opus_books_ca-en_translation | zs_opt | [
0.15709373354911804,
0.8343358039855957,
-0.3846164047718048,
0.026159903034567833,
-0.28405052423477173,
-1.1759297847747803,
0.9211457967758179,
0.29524552822113037,
-0.3582080006599426,
0.0194763895124197,
0.02162698656320572,
0.4367619752883911,
-0.878496527671814,
-0.19148406386375427... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
One example is below.
Q: A photo series on the popular Humans of New York Facebook page may have went viral and captured the nation’s attention last Tuesday, but for Daniel Kang, the post really ... | Last week, the Illinois State Journal-Register ran a story about Joel Burger and Ashley King, a New Berlin couple getting married in what's become known as the Burger-King wedding. Needless to say, the story has since gone viral—and now Burger King is paying for the whole affair. Burger and King are used to getting com... | 9 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.6621593236923218,
0.16205596923828125,
-0.039887264370918274,
-0.22625431418418884,
0.9573429226875305,
-0.20141837000846863,
1.1789031028747559,
0.8166078329086304,
-0.36519888043403625,
0.6861208081245422,
0.05012347176671028,
0.36023619771003723,
-0.27184605598449707,
0.48451012372970... |
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: ਇੰਸਟੀਚਿਊਟ ਦੇ ਵਿਦਿਆਰਥੀਆਂ ਦੇ 2015 ਦੇ ਦੂਜੇ ਬੈਚ ਦੇ... | ਡੀ.ਆਰ.ਡੀ.ਓ. | 5 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
0.014925491064786911,
0.6586159467697144,
-0.3468828797340393,
-0.3351980745792389,
-0.5158762335777283,
-0.2245657593011856,
0.49958398938179016,
0.9642659425735474,
0.3111753463745117,
0.3041287064552307,
-0.05214865133166313,
-0.03800743818283081,
-0.001762802479788661,
-0.2680554389953... |
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Q: En una analizador de tiempo de vuelo en espectrometría de masas
A: | In a flight time analyzer in mass spectrometry | 4 | NIv2 | task1433_head_qa_language_translation_es_to_en | zs_opt | [
-0.4982765018939972,
0.16060355305671692,
-0.7170617580413818,
-0.3853822946548462,
0.44600000977516174,
-0.3810904324054718,
-0.8385424017906189,
0.8464941382408142,
0.051601652055978775,
0.06977275013923645,
0.44978880882263184,
0.05876358598470688,
0.41292107105255127,
0.152684181928634... |
Definition: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given se... | bored | 2 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
0.11311936378479004,
0.28129011392593384,
-0.04660295695066452,
-0.3246515095233917,
-0.4172584116458893,
-0.19178345799446106,
1.218456745147705,
-0.17795950174331665,
0.15805684030056,
-0.31386518478393555,
-0.1073625311255455,
-0.12531301379203796,
-0.6588974595069885,
0.482398301362991... |
Part 1. Definition
A question is presented to you in this task, and your job is to write a potentially correct answer.
Part 2. Example
where did france surrender ww2?
Answer: Mediterranean Sea
Explanation: This is a good example and the output correctly answers the question.
Part 3. Exercise
who does debbie dingle go o... | Eli Dingle | 7 | NIv2 | task1412_web_questions_question_answering | fs_opt | [
-0.26705247163772583,
0.4876808524131775,
-0.7729657888412476,
-0.6042177677154541,
-0.14413118362426758,
0.19481626152992249,
0.9892569780349731,
-0.6305137872695923,
0.9641323089599609,
0.08097244799137115,
-0.4459890127182007,
0.1663784384727478,
0.08154138177633286,
-0.3088268041610718... |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of... | No | 8 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.31638434529304504,
0.6349313259124756,
0.3816409409046173,
-0.4240063726902008,
-0.5077388882637024,
-0.9065518379211426,
1.2123212814331055,
0.3031027019023895,
-0.5119602680206299,
-0.33313632011413574,
-0.3735957145690918,
-0.2664434313774109,
-0.609624981880188,
0.11614684015512466,
... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Example Input: «و این است احکامی که پیش ایشان می گذاری:
Example Output: An altar of earth thou shalt make unto me, and shalt sacrifice thereon thy burnt offerings, and thy peace offerings, thy sheep, and th... | And the land was not able to bear them, that they might dwell together: for their substance was great, so that they could not dwell together.
| 3 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
-0.19635173678398132,
0.6716452836990356,
-0.6976776123046875,
-0.14345800876617432,
-0.5044573545455933,
-0.8149250745773315,
0.9683931469917297,
0.10620114207267761,
0.7051698565483093,
0.2059556543827057,
-0.17392498254776,
0.7403873205184937,
-0.5784462690353394,
0.24723303318023682,
... |
Given the task definition, example input & output, solve the new input case.
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 coherent / plausible by writing "1" or "2" in the output. If both sentences a... | 2 | 1 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.28394007682800293,
0.7212790250778198,
-0.12506675720214844,
0.20650480687618256,
0.075057253241539,
0.16070348024368286,
0.16275233030319214,
0.8236632347106934,
0.15300683677196503,
0.1821155846118927,
-0.5302384495735168,
-0.07811608910560608,
0.008418131619691849,
-0.314698219299316... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Example: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Example solution: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Example e... | Solution: では２つ目の旅はというと | 5 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.32806599140167236,
0.1673552244901657,
-0.349925696849823,
-0.19170160591602325,
-0.4712101221084595,
0.33933407068252563,
-0.26357775926589966,
0.44691574573516846,
-0.42563045024871826,
-0.6841385960578918,
-0.38577038049697876,
-0.3994600474834442,
-1.3368089199066162,
-0.32484906911... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Q: 安全でなければ教育も健康も保障できません安全でなければ教育も健康も保障できません自分のやりたいことが不可能になるのです
A: | אם אנחנו לא בטוחים, אנחנו לא יכולים לקבל חינוך, אנחנו לא יכולים להיות בריאים, אנחנו לא יכולים לעשות את כל שאר הדברים שאנחנו רוצים לעשות בחיינו. | 4 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
0.35005730390548706,
0.3427111506462097,
0.34828343987464905,
-0.8109549283981323,
-0.3845927119255066,
0.21920979022979736,
-0.6871785521507263,
0.3919215202331543,
-0.3384656608104706,
-0.7007911801338196,
0.1635427325963974,
-0.16221457719802856,
-0.9189258813858032,
-1.0938160419464111... |
Detailed Instructions: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. La... | False | 8 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.886688232421875,
0.2062954604625702,
-0.6304418444633484,
0.14034557342529297,
-0.1918828785419464,
-0.8074027299880981,
0.9333052635192871,
0.637044370174408,
0.7174642086029053,
0.18529590964317322,
-0.2543657124042511,
0.24441447854042053,
-0.013483059592545033,
0.020752552896738052,... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input... | Output: N, x, a, v, E, a, A, l, l, q, S, X, d, B, J, E, 2629, 6945, 8449, 2823, 4045, 1993, 2911, 7073
| 2 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | fs_opt | [
0.019825667142868042,
-0.21965104341506958,
-0.2276369333267212,
-0.3801890015602112,
0.07117199897766113,
-0.5465835928916931,
0.5922650694847107,
0.47417473793029785,
-0.6963726878166199,
0.18822531402111053,
-0.8332748413085938,
-0.029467158019542694,
-0.3291916251182556,
-0.13262660801... |
Instructions: Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Input: Abstract: Review of the literature reveals much disparity regarding the incidence, natural history, and survival rat... | Adult | 3 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | zs_opt | [
0.7980896234512329,
0.4013179540634155,
-0.3694213628768921,
0.37612539529800415,
0.7957605123519897,
-0.3698776662349701,
0.9486929774284363,
0.9606817364692688,
0.3317316770553589,
0.06598126888275146,
-0.14293742179870605,
0.5114580392837524,
-0.6298366785049438,
0.42562103271484375,
... |
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an u... | Bob.
****
| 4 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.6371654272079468,
0.28687596321105957,
0.05059351027011871,
0.001152121927589178,
0.3919321298599243,
-1.209230899810791,
0.1480679214000702,
0.8299147486686707,
-0.500575065612793,
0.2880966365337372,
-0.8488249778747559,
-0.5488519668579102,
-0.43467170000076294,
0.4147588610649109,
... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | Y
| 6 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.6148044466972351,
0.5705287456512451,
-0.11856700479984283,
-0.37869125604629517,
0.25139304995536804,
0.26125961542129517,
-0.0339631512761116,
1.054599404335022,
-0.009861359372735023,
0.11293730139732361,
-0.38673868775367737,
0.3556423783302307,
-0.48509377241134644,
-0.301580190658... |
The provided file includes inquiries about restaurants in Turkish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for... | search for " italian " restaurants . | 9 | NIv2 | task259_spl_translation_tr_en | fs_opt | [
-0.26120010018348694,
0.5827841758728027,
0.42208075523376465,
0.1947188377380371,
-0.03541736304759979,
-0.8197754621505737,
0.702031672000885,
0.6089166402816772,
-0.24709007143974304,
-0.21915194392204285,
0.35607707500457764,
0.6517907381057739,
-0.5336674451828003,
0.4619719386100769,... |
Detailed Instructions: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
See one example below:
Problem: Revie... | False | 4 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.5411732196807861,
0.010707687586545944,
0.00850754976272583,
-0.19238270819187164,
-0.05771339684724808,
-0.3805858790874481,
0.28384530544281006,
0.8249871134757996,
-0.496196448802948,
0.29469817876815796,
-0.07354547083377838,
0.15199865400791168,
-0.5504152178764343,
-0.122423999011... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | wolf be so furry they be really in a hurry they like to hunt because they be in be a spunt so if you hear do n't go near because they like shakespeare | 4 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.7723749876022339,
1.8169875144958496,
-0.06801050901412964,
-0.7667500972747803,
-0.9038841724395752,
-0.4385502338409424,
0.7274744510650635,
0.278493732213974,
0.2759636640548706,
-0.5439068078994751,
-0.27903950214385986,
0.7948757410049438,
-0.6892301440238953,
0.10957137495279312,
... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to con... | There are four woman in this picture. | 9 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-0.24328897893428802,
0.9596522450447083,
-0.11322950571775436,
-0.7271667718887329,
0.26477786898612976,
-0.3830723762512207,
0.012092276476323605,
0.33211031556129456,
0.8226942420005798,
-0.22812391817569733,
-0.44544222950935364,
-0.8935368061065674,
-0.0830257385969162,
-0.02720184810... |
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.
[EX Q]: 100億年前の宇宙における、原子核とイオンを構成する中性子と陽子である重粒子の質量密度を、様々な測定により上手く見積もっている。
[EX A]: រង្វាស់រង្វាល់ច្រើនប្រភេទបានផ្ដល់ឱ្យមានការប៉ាន់ស្មានដ៏ប្រសើរមួយន... | ដោយមិនបានចាញ់ក្នុងការប្រកួតរយៈពេលពីរថ្ងៃក្រុមអាហ្វ្រិចខាងត្បូងបានយកឈ្នះក្រុមដេវីតាលើវូមកពីហ្វីជីក្នុងគម្លាតពិន្ទុ 24 ពិន្ទុដោយមិនទុកឱកាសឱ្យក្រុមហ្វីជីយកពិន្ទុបានក្នុងរយៈពេល 20 នាទីចុងក្រោយឡើយ។
| 6 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
0.4686417579650879,
0.3186667859554291,
-0.9436657428741455,
0.1532048135995865,
-0.024539701640605927,
-1.506469488143921,
0.6506816148757935,
-0.17389163374900818,
-0.04449285566806793,
-0.29818814992904663,
-0.5951129198074341,
0.6644809246063232,
-0.7449851632118225,
-0.167361080646514... |
Teacher: You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Teacher: Now, understand the problem? If you are still confused, see the following example:
System Referenc... | 0 | 2 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.5722224712371826,
0.48583272099494934,
-0.6069782972335815,
0.14297762513160706,
-0.11132463812828064,
-0.6306664943695068,
0.8342218399047852,
0.5425769090652466,
-0.12133914977312088,
-0.31206825375556946,
-0.20931091904640198,
-0.9214232563972473,
0.13947664201259613,
-0.145040392875... |
Detailed Instructions: Given a text passage as input comprising of dialogue of negotiations between a seller and a buyer about the sale of an item, your task is to classify the item being sold into exactly one of these categories: 'housing', 'furniture', 'bike', 'phone', 'car', 'electronics'. The output should be the n... | bike | 8 | NIv2 | task767_craigslist_bargains_classification | zs_opt | [
0.4214211106300354,
-0.15971806645393372,
-0.8506389856338501,
0.9703588485717773,
0.3655465245246887,
0.11129407584667206,
0.4966569244861603,
1.0760412216186523,
-0.12183904647827148,
0.15816730260849,
-0.30555224418640137,
0.5396691560745239,
0.1571873128414154,
0.4119059443473816,
-0... |
Detailed Instructions: Translate the given Spanish text to English
Q: An image sensor with a plurality of photodiodes pixels.
A: | Un detector de imagen con una pluralidad de píxeles de fotodiodo. | 9 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.7885514497756958,
0.011244608089327812,
-0.5042045712471008,
-0.12128648161888123,
-0.31460583209991455,
-0.27535784244537354,
-0.07299266755580902,
0.6563168168067932,
0.390095591545105,
-0.07310992479324341,
0.06215853989124298,
-0.05744984745979309,
0.04680323228240013,
0.69415342807... |
In this task, you're given a passage, 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: Passage: The group was occasion... | Answer: Beckham Rule | 3 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.44911307096481323,
0.2212558090686798,
-0.6257907748222351,
0.12498420476913452,
0.6895999908447266,
-0.7354428768157959,
0.6288676857948303,
0.5850344300270081,
0.3124029338359833,
-0.26467305421829224,
-0.4241770803928375,
0.2056141197681427,
-0.7564431428909302,
0.1427973508834839,
... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Example Input: کدام پیامبران به مقام امامت رسیده اند؟ <sep> کدام پیامبران مقام امامت دارند؟
Example Output: pa... | paraphrase
| 3 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-1.2133102416992188,
0.7504123449325562,
0.21195262670516968,
-0.5631130337715149,
-1.0872724056243896,
0.1332707703113556,
1.3206419944763184,
0.6582556962966919,
0.3199479281902313,
-0.2443566620349884,
-0.7137316465377808,
0.11366919428110123,
-0.42465341091156006,
0.12449745833873749,
... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still ... | 1 | 2 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.0956452414393425,
0.44232040643692017,
-0.6162201166152954,
0.014340073801577091,
0.6641820073127747,
-0.18723389506340027,
0.7799761295318604,
1.2738920450210571,
-0.1267451047897339,
0.21631959080696106,
0.06765647977590561,
0.3931148052215576,
-0.29556649923324585,
-0.0481359250843524... |
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. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all... | [['e', '2', 'P', 'y', '8'], ['e', '2', 'P', 'y', 'L'], ['e', '2', 'P', '8', 'L'], ['e', '2', 'y', '8', 'L'], ['e', 'P', 'y', '8', 'L'], ['2', 'P', 'y', '8', 'L']] | 1 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.1475580930709839,
0.3644513487815857,
-0.49358931183815,
0.4561910927295685,
0.5695486664772034,
-0.09923054277896881,
0.3439066410064697,
0.42636364698410034,
0.13311108946800232,
0.050291962921619415,
-0.5308901071548462,
-0.09495537728071213,
-0.04596375674009323,
0.09442775696516037... |
Part 1. Definition
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Part 2. Example
Isto inclúe un sistema en árabe chamado al-jebra.
Answer: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Explanation: The Galician sentence is correctly translated i... | Così questa cosa ha bisogno di essere portata alla luce, per i pazienti, per i dottori, per il pubblico. | 7 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.4240937829017639,
0.8732134103775024,
-0.33962857723236084,
0.15739478170871735,
-0.34389203786849976,
-0.5368611216545105,
0.9569476842880249,
0.5988296866416931,
-0.8620777130126953,
-0.26695314049720764,
-0.6749519109725952,
0.12733463943004608,
-0.7231234312057495,
0.543232440948486... |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Ex Input:
We have been using this food for about 6 months now and find it to be just excellent! Other than the fact our two dogs (a Coton de Tule... | True
| 1 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
0.1144251897931099,
-0.31207942962646484,
-0.5309181213378906,
0.4936229884624481,
0.06942147016525269,
-0.18738313019275665,
0.5291990637779236,
0.8331000804901123,
-0.6252845525741577,
-0.120599165558815,
0.1454184353351593,
-0.20249336957931519,
-0.6611462831497192,
-0.10597993433475494... |
Instructions: In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Input: ['1743', 'x', '5983', '1093', 't', 'm', '3627', '5231', 'a']
Output: | 1743, 24, 5983, 1093, 20, 13, 3627, 5231, 1 | 3 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.25586313009262085,
-0.20910044014453888,
-0.21783867478370667,
-0.5821490287780762,
0.13622835278511047,
-0.6746488809585571,
-0.4962211847305298,
-0.033441558480262756,
0.5603974461555481,
-0.49120405316352844,
-0.4092932343482971,
-0.2645772099494934,
-0.004438595846295357,
-0.8530162... |
instruction:
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
question:
Fact1: a rainbow is formed by refraction of light by separating light into all different colors, Fact2: Introduction A rainbow is often... | D
| 9 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.5955476760864258,
-0.11895161867141724,
-0.3404209613800049,
-0.2071051001548767,
-0.20068776607513428,
-1.0706090927124023,
0.12738902866840363,
1.3733159303665161,
-0.142087921500206,
-0.32424771785736084,
-0.7534794807434082,
-0.8516433238983154,
0.07222343981266022,
0.095794931054115... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
One example: My stomach will be upset if i eat that.
Solution is here: Do you like pineapple on your pizza?
Explanation: The answer given was regarding something that the person ate and it caused his stomach upset... | Can you swim? | 6 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.006762622855603695,
0.5048741102218628,
0.3549693524837494,
-0.4751555621623993,
-0.09365788847208023,
-0.3532440662384033,
0.6131141185760498,
0.2197006195783615,
-0.16229595243930817,
-0.24241776764392853,
0.09408821165561676,
0.26471519470214844,
-1.3396357297897339,
-0.3258280456066... |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | What are the full names the people working on the national mental health campaign? | 0 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.7485915422439575,
0.36347272992134094,
-0.17588943243026733,
-0.0026026745326817036,
0.9542675614356995,
0.2292737364768982,
1.1865081787109375,
0.9271719455718994,
0.13509601354599,
-0.05947288125753403,
-0.4971044063568115,
0.4453181028366089,
-0.7759356498718262,
0.3714351952075958,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Então, precisamos de ferramentas para expandir o nosso limite.
Output: | لذا نحن نحتاج أدوات لتوسيع نطاق سلوكنا المقبول. | 1 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
-0.03955133259296417,
0.8360702991485596,
-0.16324381530284882,
-0.5070995092391968,
-0.5267394185066223,
0.4436342418193817,
0.5222314596176147,
0.14940470457077026,
1.0177280902862549,
0.34587743878364563,
-0.876872181892395,
-0.28749576210975647,
-0.3940637409687042,
0.20394471287727356... |
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: I'd rather just go to bed.<sep>Sentence-2: I want to get dinner together .
No
Sentence-1: I love seeing the bands play their instruments.<sep>Sente... | Yes
| 0 | NIv2 | task566_circa_classification | fs_opt | [
-0.28317588567733765,
0.5072697401046753,
-0.39859193563461304,
0.30637508630752563,
-0.29620295763015747,
-0.38629209995269775,
0.8917633295059204,
0.5235920548439026,
-0.06645679473876953,
0.1981980800628662,
-0.06162833422422409,
-0.2575310468673706,
-1.126330852508545,
-0.5536265969276... |
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
As descr... | B | 0 | NIv2 | task329_gap_classification | zs_opt | [
-0.6538100242614746,
0.30434370040893555,
0.05158441513776779,
0.5711422562599182,
-0.17496232688426971,
0.5068709254264832,
0.9523919224739075,
0.8052897453308105,
0.11641579866409302,
-0.037985846400260925,
-0.30144059658050537,
-0.2685934603214264,
-0.18792785704135895,
-0.6630515456199... |
In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Ex Input:
80er, Lederleggins und Lockenmähne... . ... wer den Film gesehen hat, ...wer in ... | NEG
| 1 | NIv2 | task481_cls_german_music_classification | fs_opt | [
-0.3631713390350342,
0.15665221214294434,
-1.0329232215881348,
0.12789011001586914,
0.6387647390365601,
-0.2843436002731323,
1.0554182529449463,
0.6328145265579224,
0.14139580726623535,
0.6799747943878174,
-0.24581097066402435,
-0.10829650610685349,
-0.13796527683734894,
-0.403528213500976... |
Detailed Instructions: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Problem:Departures at Heathrow were temporarily stopped after a d... | Heathrow airport: Drone sighting halts departures | 8 | NIv2 | task1358_xlsum_title_generation | zs_opt | [
-0.5382410287857056,
1.1508204936981201,
0.47896960377693176,
-0.9536386728286743,
-0.4643605053424835,
-0.6836605072021484,
-0.14958953857421875,
0.4411005675792694,
-0.030791841447353363,
0.34922873973846436,
-0.8193094730377197,
0.3855833411216736,
-0.4378582835197449,
-0.01813916116952... |
Given the task definition, example input & output, solve the new input case.
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).
... | इस मामले के एक वादी डोंग शिख किम ने कहा कि "यह ब्रेनवाश करने जैसा है"। | 1 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
0.0036428372841328382,
1.1202726364135742,
-0.23902440071105957,
0.4762885272502899,
-0.03002219833433628,
-0.45481550693511963,
-0.1086086705327034,
0.7359508275985718,
0.16948039829730988,
-0.5438570976257324,
-0.5402317643165588,
0.4234839677810669,
0.3681548237800598,
0.414410471916198... |
A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
Let me give you an example: ഇന്ന് ഒരു വിദൂരസ്ഥ ഗ്രാമത്തിലെ പാവപ്പെട്ട പൗരന് തന്റെ അവകാശങ്ങള് നേടുന്നതിനായി ദീര്ഘദൂരം യാത്ര ചെയ്യേണ്ടതായോ ഇടനിലക്കാര്... | بچہ دانی کے کینسر ، ٹی بی اور ڈینگو کی تشخیص کے لئے سستے آلات۔ | 8 | NIv2 | task1059_pib_translation_malayalam_urdu | fs_opt | [
0.019808601588010788,
0.6670878529548645,
-0.6374951601028442,
-0.8101039528846741,
-0.09105587005615234,
-0.10276992619037628,
0.16035830974578857,
0.31344395875930786,
-0.7236695885658264,
-0.053155943751335144,
-0.6143676042556763,
0.23633384704589844,
-0.005511210300028324,
-0.24229884... |
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".
Q: These are great snacks for traveling, such as, by airplane or car. The cookie comes in the shape of a small cracker. The cr... | False | 4 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
-0.4708164632320404,
-0.2876390218734741,
0.4373197555541992,
-0.38038042187690735,
-0.18243646621704102,
0.047755394130945206,
0.9714823365211487,
-0.12444844841957092,
0.3776360750198364,
-0.09398257732391357,
-0.28642934560775757,
0.24592509865760803,
-0.050463929772377014,
-0.393336474... |
You will be given a definition of a task first, then some input of the task.
Translation from English to Telugu.
Let me guess.
Output: | నాకు అంచనా లెట్. | 1 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
-0.5667363405227661,
1.0911834239959717,
-0.36361411213874817,
0.043393559753894806,
0.31550133228302,
0.29304933547973633,
0.11035662144422531,
0.44430220127105713,
0.39908546209335327,
0.14435648918151855,
-0.3279323875904083,
-0.16092172265052795,
-0.36591100692749023,
0.137205481529235... |
You will be given a definition of a task first, then some input of the task.
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.
sunny, unprejudiced, raining, fair, warm
Output: | unprejudiced | 1 | NIv2 | task142_odd-man-out_classification_no_category | zs_opt | [
0.2706606984138489,
1.105033278465271,
-0.11190387606620789,
0.008171076886355877,
-0.23354539275169373,
-0.325248658657074,
0.4306361675262451,
0.1009664237499237,
-0.007738498970866203,
-0.2152293473482132,
-0.705429196357727,
-0.11806407570838928,
-0.8321947455406189,
-0.473929941654205... |
In this task, you are given a list of integers in a random order. You need to return the same list of integers in the reverse order.
Q: [297, 23, 206, 254, 298, 149, 271, 53, 257, 41, 191, 207, 110, 286, 77, 190, 103, 247, 292, 211]
A: | [211, 292, 247, 103, 190, 77, 286, 110, 207, 191, 41, 257, 53, 271, 149, 298, 254, 206, 23, 297] | 4 | NIv2 | task1331_reverse_array | zs_opt | [
-1.1017136573791504,
0.5616118311882019,
0.23690518736839294,
-0.8526864051818848,
-0.27880650758743286,
-0.5533325672149658,
0.8760433197021484,
-0.36961352825164795,
-0.26118290424346924,
0.5664305090904236,
-1.4371850490570068,
0.43137213587760925,
-0.15304416418075562,
0.34926056861877... |
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 | [
0.10536794364452362,
0.3535919189453125,
0.14104843139648438,
-0.03525729104876518,
-0.5455769896507263,
-0.8031541109085083,
1.0057919025421143,
0.6232646703720093,
-0.5821455121040344,
-0.6692909002304077,
-0.682712972164154,
-0.3543800711631775,
-0.7211714386940002,
0.1159868985414505,
... |
Teacher:In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this ... | IN | 6 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.31592071056365967,
0.5419488549232483,
-0.23689815402030945,
0.574449896812439,
-0.29715245962142944,
-0.8337257504463196,
0.971610963344574,
0.6334070563316345,
-0.6018775701522827,
-0.24248026311397552,
-0.2907710671424866,
0.15331315994262695,
0.10121730715036392,
-0.323354035615921,
... |
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Q: Sentence1: I bought bubbles to play with the dog. Sentence2: I blew the bubbles outside in the yard. Sentence3: She chased them around, trying to catch them. Sente... | Sue
****
| 4 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.315088152885437,
0.19842447340488434,
-0.4170548915863037,
-0.44065162539482117,
-0.29792356491088867,
-0.8116459846496582,
0.8602488040924072,
1.05635666847229,
-0.4525662958621979,
-0.3082413077354431,
-0.6015850305557251,
-0.4097450077533722,
-0.29069069027900696,
-0.1467488408088684,... |
TASK DEFINITION: A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
PROBLEM: வரும் அக்டோபர் 2ம் தேதி மகாத்மா காந்தியின் 150வது பிறந்த நாளன்று தூய்மை இந்தியா இயக்கம் (Swachh Bharat Mission) நான்கு ஆண்டுகள் ந... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ, ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਨੇ ਹਿਮਾਚਲ ਪ੍ਰਦੇਸ਼ ਦੇ ਲੋਕਾਂ ਨੂੰ ਉਨ੍ਹਾਂ ਦੇ ਰਾਜਤਵ ਦਿਵਸ ’ਤੇ ਵਧਾਈਆਂ ਦਿੱਤੀਆਂ ਹਨ।
| 8 | NIv2 | task1016_pib_translation_tamil_punjabi | fs_opt | [
-0.141224205493927,
0.6139163374900818,
-0.0035900957882404327,
-0.10583019256591797,
-0.22745442390441895,
-0.5660990476608276,
0.8359700441360474,
0.6699300408363342,
-0.006184155121445656,
0.6379987597465515,
-0.45469409227371216,
-0.2345305234193802,
0.14629484713077545,
-0.13741464912... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Example Input: He pours the pasta into a bowl.
Example Output: A man is making food in a kitchen.
Example Input: Then she continues to smoke the cigarette while looking around.
Exa... | A person walks up to the bag near the man.
| 3 | NIv2 | task455_swag_context_generation | fs_opt | [
0.4496004283428192,
1.0241472721099854,
-1.0565366744995117,
-0.013552461750805378,
0.10196231305599213,
-0.12841075658798218,
0.5840110182762146,
0.9071075320243835,
0.2659478187561035,
0.13349655270576477,
-0.3573451340198517,
0.32682153582572937,
-0.3668408989906311,
-0.1922748386859893... |
Instructions: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Input: According to this article, state aid... | English | 3 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.3690168559551239,
0.8391324877738953,
0.5035498142242432,
-1.0953139066696167,
0.1364196091890335,
-0.15391570329666138,
0.8729171752929688,
0.8217906355857849,
0.6601858139038086,
-0.05282090604305267,
-0.43320029973983765,
-0.22008413076400757,
-0.1768316775560379,
-0.5075477361679077... |
Definition: In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Input: My pleasure!
That was really helpful, thank you.
The European Union Fishing Agreements with Morocco include Weste... | The European Union Fishing Agreements with Morocco include Western Sahara. | 2 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
-0.11988344043493271,
0.5254234075546265,
-0.6333441734313965,
-0.09232079237699509,
-0.28723931312561035,
0.30516889691352844,
0.7117321491241455,
0.09545283019542694,
0.20114701986312866,
-0.2251456081867218,
-0.4032425284385681,
-0.27513253688812256,
-0.3390123248100281,
-0.335619091987... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Input: Consider Input: I - " " It's okay, Chloe.
Output: Present
Input:... | Output: Present
| 2 | NIv2 | task429_senteval_tense | fs_opt | [
-0.3010942041873932,
0.26451045274734497,
0.019703805446624756,
0.03900154307484627,
0.08187685906887054,
-0.3845422565937042,
0.6001389026641846,
0.29934990406036377,
-0.06295006722211838,
-0.2903212308883667,
-0.22836647927761078,
-0.4810483455657959,
-0.22593164443969727,
-0.66621577739... |
Instructions: In this task you will be given a list of strings and you need to concatenate them.
Input: ['D', 'morning', 'J', 'R', 'C', 's']
Output: | DmorningJRCs | 3 | NIv2 | task079_conala_concat_strings | zs_opt | [
0.19613352417945862,
0.9530275464057922,
-0.6819312572479248,
-0.3576706647872925,
-1.0001139640808105,
0.42449304461479187,
0.5576177835464478,
-0.08409702777862549,
-0.4541032612323761,
0.012203632853925228,
-0.8395456671714783,
-0.3785664141178131,
-0.12253840267658234,
-0.5288053154945... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Q: Cały czas się zmieniało i zamiast z tym walczyć, musiałyśmy to zaakceptować, zobaczyć, co zaoferuje nam mleko, i kompensować tak, by wyszło jeszcze lepiej.
A: | Era un flusso costante, e abbiamo dovuto accettarlo invece di combatterlo, vedere dove ci portava il latte e compensare per renderlo ancora più bello. | 4 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.6037099361419678,
1.0706286430358887,
0.37850382924079895,
-0.17435531318187714,
-0.532762885093689,
-0.9054056406021118,
0.29112476110458374,
0.6038347482681274,
0.4331391453742981,
-0.317216694355011,
-0.14488106966018677,
-0.43796858191490173,
-0.9700649380683899,
0.604417085647583,
... |
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'.
Title: College Helper. ... | 12453 | 0 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.27065494656562805,
0.3764168620109558,
-0.10171038657426834,
-0.584473729133606,
-0.008661715313792229,
-0.11554975807666779,
0.5748540759086609,
0.7497475743293762,
0.35525405406951904,
-0.04280812293291092,
-0.2601670026779175,
-0.853195309638977,
-0.9216760396957397,
0.00798111036419... |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have t... | No | 6 | NIv2 | task1204_atomic_classification_hinderedby | zs_opt | [
0.9871286153793335,
0.2090320587158203,
0.4529474675655365,
-0.19190555810928345,
-0.5115075707435608,
-0.8345826268196106,
0.6632354259490967,
0.4883352518081665,
-0.6139141321182251,
-0.24029812216758728,
-0.6102043986320496,
-0.8672997951507568,
-0.7442703247070312,
-0.3702617287635803,... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
[EX Q]: Quem são todas as outras mulheres
[EX A]: من هن النساء الأخريات على مواقع المواعدة هذه ؟
[EX Q]: E todos os edifícios que eles construirão a partir de agora serão seguros.
[EX A]: و كل مبنى سيقومون ببناءه من ... | (أنجيلا ميركل) كعادتها لديها تلك النظرة.
| 6 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
-0.43837517499923706,
0.9568654894828796,
-0.10821044445037842,
-0.6891374588012695,
-0.3484419584274292,
-0.05507621541619301,
0.8088027238845825,
0.6448507905006409,
0.6945865750312805,
0.09439359605312347,
-0.8204408884048462,
0.3113260269165039,
-0.9870414733886719,
0.7260642051696777,... |
TASK DEFINITION: In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PROBLEM: PersonX changes one 's ___
SOLUTION: diaper
PROBLEM: Pers... | leaves
| 8 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
0.057046037167310715,
0.7652261257171631,
-0.11569657176733017,
-0.3700926899909973,
-0.3104621469974518,
-0.0730905681848526,
1.3361787796020508,
0.5360150337219238,
0.010759296827018261,
-0.49118131399154663,
-0.384040892124176,
-0.779739499092102,
-0.3310868740081787,
-0.289861679077148... |
Teacher: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a... | I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_JUMP | 2 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.03561367467045784,
0.5606571435928345,
-0.2714095711708069,
-0.08002844452857971,
0.2731764018535614,
0.033142611384391785,
0.258827805519104,
0.2923378646373749,
-0.19691507518291473,
-0.3685491979122162,
-0.7039484977722168,
-0.1331324577331543,
-0.7756580710411072,
-0.2441469728946685... |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabe... | Alphabets Win
| 1 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.1178075522184372,
-0.006596340797841549,
-0.42896249890327454,
0.041670411825180054,
0.04072455316781998,
-0.6406919956207275,
0.6637136340141296,
0.3962390422821045,
-0.466505229473114,
0.2976425290107727,
-0.7563807964324951,
0.3202029764652252,
-0.39339300990104675,
0.1553142517805099... |
Q: In this task you will be given a list of strings and you need to concatenate them.
['b', 'e', 'l']
A: | bel | 7 | NIv2 | task079_conala_concat_strings | zs_opt | [
-0.4030025005340576,
0.46427223086357117,
-0.08983787149190903,
-0.4804695248603821,
0.011745226569473743,
0.20756639540195465,
0.96660977602005,
0.009521708823740482,
-0.6228539943695068,
-0.004177740775048733,
-0.1890358328819275,
0.4880453050136566,
-0.0455474779009819,
-0.0649623945355... |
Given the task definition and input, reply with output. You are given a statement written in Assamese. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: নাউৰু আন্তঃৰাষ্ট্ৰীয় বিমানবন্দৰ হৈছে দেশখনৰ ... | টাইৱান | 5 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | zs_opt | [
0.03463899344205856,
0.10269065201282501,
-0.102296844124794,
-0.5435093641281128,
-0.017129072919487953,
0.5728223323822021,
0.5676469802856445,
1.069833755493164,
0.05687319487333298,
0.20434117317199707,
-0.16325433552265167,
-0.00939848367124796,
-0.21934373676776886,
-0.48607173562049... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Vostedes teñen sobre 30.000 xenes.
Output: | יש לכם כ-30,000 גנים. | 1 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.666455090045929,
0.6275758147239685,
-0.07627841830253601,
-0.43938037753105164,
-0.4898601174354553,
-0.520370602607727,
0.4952087104320526,
0.08264957368373871,
0.2799575924873352,
-0.18807494640350342,
-0.15592658519744873,
0.4242352247238159,
-0.7604394555091858,
0.10600203275680542... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Q: The bread tasted ... | roll | 4 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.20957131683826447,
0.8881769776344299,
0.1347142904996872,
-0.5404989719390869,
-0.17502281069755554,
-0.3345080316066742,
0.8699477910995483,
0.8033169507980347,
0.07847324013710022,
-0.3063419461250305,
0.27423399686813354,
-0.06745430827140808,
-0.19103258848190308,
-0.20654372870922... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting... | Accountancy comes from accountant. | 0 | NIv2 | task111_asset_sentence_simplification | fs_opt | [
-0.11706414818763733,
0.5034915804862976,
0.13806366920471191,
-0.7274953722953796,
0.062358029186725616,
-0.2543148994445801,
0.9539581537246704,
0.6927307844161987,
0.41288095712661743,
-0.08887636661529541,
0.06762056797742844,
-0.07809101790189743,
-0.9275343418121338,
0.38841599225997... |
Definition: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Input: To date, an effective therapeutic treatment that confers strong attenuation toward coronaviruses (CoVs)... | Delicate structural coordination of the Severe Acute Respiratory Syndrome coronavirus Nsp13 upon ATP hydrolysis | 2 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.46872633695602417,
0.5671074390411377,
-0.6514676809310913,
0.338132381439209,
-0.15200170874595642,
-0.04546224698424339,
0.6993378400802612,
0.7167462110519409,
0.19642505049705505,
0.903215229511261,
-0.43272727727890015,
0.7343978881835938,
-0.46935057640075684,
0.4322620630264282,
... |
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.
Methionine is converted by the transmethylation/transsulfuration pathway to homocysteine which may exert atherogenic effects by several mechanisms, including lipid peroxidation.... | Breaking the code of DNA binding specificity of TAL-type III effectors.
| 0 | NIv2 | task1586_scifact_title_generation | fs_opt | [
0.20451988279819489,
0.496762216091156,
-0.3562157154083252,
0.4734845459461212,
0.5243901014328003,
-0.5826364755630493,
0.3672561049461365,
0.9339511394500732,
0.04383755475282669,
0.49737536907196045,
-0.08503789454698563,
0.33566582202911377,
-0.6793789863586426,
0.4287450313568115,
... |
Instructions: This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Input: i was a freshman , and they always used to mess with me .
Output: | i was a freshman , so they kept on me forever . | 3 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
0.3046323359012604,
1.0368733406066895,
-0.5792824029922485,
-0.7915867567062378,
-0.011558699421584606,
-0.4820554852485657,
0.8452759981155396,
0.8299295902252197,
0.19606970250606537,
-0.050714652985334396,
-0.45962297916412354,
-0.2514036297798157,
-0.5540573596954346,
0.20091745257377... |
TASK DEFINITION: In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
PROBLEM: I have a Melitta One:One machine and have been using Juan Valdez pods in it. When I ran out I searched for pods for it ... | True
| 8 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
0.3009220063686371,
-0.3307754099369049,
-0.3116011619567871,
0.17065101861953735,
0.07556523382663727,
0.07253128290176392,
0.6843553185462952,
0.8473643064498901,
-0.31130585074424744,
-0.027234084904193878,
-0.2608736753463745,
-0.2645837664604187,
-0.5588793754577637,
-0.13000518083572... |
Detailed Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make t... | Not Funny | 9 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.05402615666389465,
0.4228166937828064,
0.41174831986427307,
-0.4056811034679413,
-0.25107476115226746,
-0.40642133355140686,
-0.30884885787963867,
1.4345903396606445,
0.1961967498064041,
-0.11286383867263794,
-0.6060101389884949,
-0.48201602697372437,
-0.3760760426521301,
-0.082195535302... |
Instructions: Given a sentence in Bulgarian, generate a new Bulgarian 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 p... | Най-вероятно ще намерите бомба в офиса. | 3 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
0.05388839542865753,
0.7106606960296631,
-0.6517237424850464,
-0.31430384516716003,
-0.12760670483112335,
-0.09263494610786438,
0.6754963397979736,
-0.06883813440799713,
1.2176496982574463,
-0.6804502010345459,
-1.1262574195861816,
0.8037842512130737,
-0.37940704822540283,
0.20308844745159... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: (śmiech) Dążę jednak do pytania, nazywam je "" Co dalej? "" OK, rozwiązałeś wszystkie problemy. Zrobiłeś wszystko co mogłeś. Pokochałeś klientów. Pokochałeś mia... | (خنده) منظورم اینست که — و من به این می گم 'بعدش چی ؟' خوب ، گیرم که تمام مسائل را حل کنید. همه کارهای لازم را انجام دادید. کار را خوب تمام کردید. مشتری هاتان را دوست راشتید شهر را دوست داشتید. تو آدم خوبی هستی — کارت خوبه. | 6 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.725750207901001,
0.595424234867096,
-0.03924202919006348,
-0.706293523311615,
-0.2807597219944,
-0.22915393114089966,
1.5242102146148682,
-0.35807734727859497,
-0.13821914792060852,
-0.1504862904548645,
-0.20382286608219147,
0.11096248030662537,
-0.3711302876472473,
0.10429667681455612,... |
Given the task definition, example input & output, solve the new input case.
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.
Example: Sentence: 'a white cat on a desk near a computer monitor'. Count the number of ... | 18 | 1 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.12755486369132996,
0.5206421613693237,
-0.5252021551132202,
-0.27230170369148254,
0.13060733675956726,
0.3966080844402313,
-0.19202668964862823,
0.6547098159790039,
0.43237996101379395,
-0.39348849654197693,
0.283554345369339,
0.08655489236116409,
0.5298159122467041,
-0.2312430590391159,... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
[Q]: Carol Camm, 52, was found at a house in Main Street, Buckton, East Yorkshire, on 19 December. A 56-year-old man questioned over her death was discovered by police at a house in the same street on N... | Hellen Ward, co-founder of beauty salon chain Richard Ward, says her debts have been racking up while her salons have been closed due to Covid restrictions.
| 5 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
-0.12639133632183075,
0.33435118198394775,
-0.3069176971912384,
-1.1284613609313965,
0.8635545969009399,
-0.2734941840171814,
0.14644475281238556,
0.9009221196174622,
-0.6051337718963623,
0.2804478108882904,
0.10127760469913483,
0.9370200037956238,
-0.32071444392204285,
0.5311595797538757,... |
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.
One example is below.
Q: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
A: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប... | អ្នកកាសែតពីរនាក់ចុងក្រោយដែលបានរាយការណ៏ថាត្រូវបានសម្លាប់នៅចុងឆ្នាំគឺជនជាតិស៊ីរី;គឺនៅពេលដែលបាតុកម្មនិងអំពើហិង្សាក្នុងប្រទេសកំពុងតែកើតខ្លាំងឡើងហើយសម្ព័ន្ធអារ៉ាប់ចាប់ផ្ដើមធ្វើការវាយតម្លៃស្ថានភាពលើកដំបូង។ | 9 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
0.09691129624843597,
0.6047855615615845,
-0.8485680222511292,
0.39996230602264404,
-0.07716377079486847,
-0.6678184270858765,
0.4862407445907593,
0.7222349643707275,
-0.08054162561893463,
-0.3276466727256775,
-1.087527871131897,
0.804923415184021,
-0.7762943506240845,
0.8388563990592957,
... |
Instructions: You will be given a statement and two events in Croatian. The events are either something that can be caused by the statement, or they are something that might have caused the statement. If they can be consequences of the statement, answer with "effect", else answer with "cause".
Input: Statement: Aktivis... | cause | 3 | NIv2 | task1627_copa_hr_classification | zs_opt | [
0.7709285616874695,
0.4256505072116852,
-0.5320919752120972,
-0.10102806985378265,
-0.48836055397987366,
-0.4339607357978821,
0.016088595613837242,
0.22383221983909607,
0.03468032553792,
0.1737653613090515,
-0.27880191802978516,
0.7484683990478516,
-0.9825957417488098,
-0.2809072732925415,... |
Instructions: Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Input: news:However , the company saw its net profit for the third quarter down to EUR1 .4 m from EUR1 .5 m for th... | false | 3 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-1.0981796979904175,
0.44427523016929626,
-0.4203067421913147,
0.21436868607997894,
-0.45416346192359924,
-0.24796025454998016,
0.026654716581106186,
0.45332419872283936,
0.278383731842041,
0.11861623823642731,
-0.30893948674201965,
0.22621841728687286,
-0.023717418313026428,
-0.7854329347... |
Teacher:A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: भारत में जीवन और व्यवसाय को सुगम बनाने के लिए सभी उपाय किए गए हैं।
Student: | सर्वसामान्यांचे आयुष्य सुकर करण्यासाठी आणि उद्योगस्नेही वातावरण निर्माण करण्यासाठी आम्ही सर्व उपाययोजना करत आहोत. | 6 | NIv2 | task1081_pib_translation_hindi_marathi | zs_opt | [
0.9771268367767334,
0.5221194624900818,
0.268602192401886,
-0.33248481154441833,
0.008304229006171227,
-0.5267699956893921,
0.6961513757705688,
0.4644317924976349,
-0.06746530532836914,
-0.1490217000246048,
-0.2720041275024414,
-0.47294506430625916,
-0.2050899863243103,
-0.6260333061218262... |
Part 1. Definition
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentence... | Tom is at a baseball game >Causes/Enables> Tom watches baseball | 7 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.37833744287490845,
-0.13475655019283295,
0.0554112009704113,
0.23112235963344574,
0.08786042034626007,
-1.2478067874908447,
0.04951745271682739,
0.9097992181777954,
-0.3612247705459595,
0.007310503162443638,
-0.8606228232383728,
0.2314455807209015,
-0.10929839313030243,
-0.69732308387756... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Q: وهذا يعني أنه لايمكن رفع دعاوى قضائية ضد الجناة لعدة أسباب ، معظمها متعلقة بعملية السلام وماكان يجري ، تجاه المصلحة العليا.
A: | Ciò significava che i colpevoli non potevano davvero essere perseguiti per varie ragioni, ma soprattutto per le trattative di pace e per quello che è il bene superiore. | 4 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
0.1712401807308197,
1.1681897640228271,
-0.14613157510757446,
0.09665070474147797,
-0.6886451244354248,
0.010535404086112976,
-0.06430259346961975,
1.3142542839050293,
0.29017770290374756,
-0.36184191703796387,
-0.3730849623680115,
0.5836195945739746,
-0.6897003054618835,
0.416654944419860... |
In this task, you need to count the number of times the given letter appears in the given sentence.
Q: Sentence: 'a pizza sitting in an oven, in a blurry picture'. Find frequency of the letter 'a'
A: | 4 | 4 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.5364850759506226,
0.28002411127090454,
-0.5176025629043579,
-0.37057721614837646,
-0.5671566724777222,
0.42846110463142395,
0.20822271704673767,
0.7331417798995972,
0.3778488039970398,
0.0517176017165184,
0.07852787524461746,
0.0065183271653950214,
0.6643949151039124,
0.2056204527616500... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
English sentence: Clearly, the order in creation testifies that God has a purpose for earth and mankind.
Output: | O doro anya na otú ihe ndị Chineke kere si aga siriri werere na-egosi na e nwere ihe o bu n'obi kee ụwa na ụmụ mmadụ. | 1 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
0.043940071016550064,
0.6044104099273682,
-0.01839742437005043,
-0.10410512238740921,
-0.07827767729759216,
-1.2598421573638916,
0.6212456226348877,
-0.6035953164100647,
-0.46647900342941284,
0.13157567381858826,
-0.05258375406265259,
-0.11026446521282196,
-0.2534369230270386,
0.3518391847... |
Definition: Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Inpu... | electricity | 2 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
-0.05785367637872696,
0.5708746314048767,
0.6942396759986877,
-0.6208234429359436,
-0.06136848032474518,
-0.08426326513290405,
0.6404410600662231,
0.07601647824048996,
0.24017396569252014,
-0.8136459589004517,
-1.005391240119934,
-0.1599322259426117,
-0.8855066299438477,
0.2453260272741317... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Q: ఇక్కడ మీరు వెళ్ళండి.
A: Here you go.
****
Q: SHH!
A: Shh!
****
Q: న కమ్, డార్లింగ్.
A: | Come on, darling.
****
| 4 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.5023242235183716,
0.8976882696151733,
0.7717612385749817,
0.22689449787139893,
0.17396681010723114,
-1.3510713577270508,
0.19135192036628723,
-0.17174804210662842,
-0.283164918422699,
-0.2653845250606537,
-0.14029735326766968,
0.36149516701698303,
-0.7403200268745422,
-0.065753206610679... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up th... | [42, 20, 61, -7, -170, 88, 47, -21, 64] | 1 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.2700435221195221,
-0.3788253664970398,
-0.5387394428253174,
-0.22208736836910248,
0.36231517791748047,
-0.23825007677078247,
0.8403728604316711,
0.7230950593948364,
-0.299000084400177,
-0.13438454270362854,
-0.7997650504112244,
-0.033818941563367844,
-0.27709928154945374,
-0.101985737681... |
Q: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Says Chris Christie inherited the highe... | jobs | 7 | NIv2 | task613_politifact_text_generation | zs_opt | [
0.1644226312637329,
0.9367480278015137,
-0.240036740899086,
-0.1487496942281723,
-0.27738073468208313,
-0.21989741921424866,
-0.07137426733970642,
0.19477137923240662,
0.45998626947402954,
0.2822754681110382,
0.1522936224937439,
0.5642471313476562,
-0.236321359872818,
0.2282145470380783,
... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: English: Details were given by the UK Transport Secretary, Ruth Kelly, in t... | Solution: No | 5 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.28049319982528687,
-0.2818705439567566,
0.4296477437019348,
0.26697680354118347,
0.29947367310523987,
-0.6196404695510864,
0.3805043697357178,
0.0200852882117033,
-0.42964208126068115,
-0.4871458411216736,
0.4157212972640991,
0.6018627285957336,
-0.1821090430021286,
0.5462352633476257,
... |
Detailed Instructions: 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".... | B | 8 | NIv2 | task309_race_answer_generation | zs_opt | [
1.0383415222167969,
0.20932847261428833,
-0.11394736915826797,
-0.5512451529502869,
0.04778514429926872,
-0.7235094308853149,
0.43820059299468994,
0.5086185932159424,
0.05406441539525986,
-0.3890405297279358,
-0.3116950988769531,
0.3881171941757202,
-0.7473369836807251,
0.809573769569397,
... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
One example: Hi. I want information about Namibia.
Nmbia is a country in southern Africa.
Do you have information about the media th... | In Papua New Guinea, renewable energy sources represent two-thirds of the total electricity supply. The European Union has funded the Renewable Energy in Pacific Island Countries Developing Skills and Capacity program. | 6 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.1493895947933197,
0.7744179964065552,
-0.1992318332195282,
-0.9442935585975647,
-0.42347174882888794,
-0.17566806077957153,
0.8908515572547913,
0.2561955749988556,
0.35902130603790283,
0.290098637342453,
-0.799415111541748,
-0.14087529480457306,
-0.406684547662735,
-0.055066775530576706,... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to count the number of times the given letter appears in the given sentence.
Sentence: 'a bridge is connected to a nearby building'. Find frequency of the letter 'd'
Output: | 3 | 1 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.8603304624557495,
0.5411765575408936,
-0.569713830947876,
-0.9947105646133423,
-0.013966747559607029,
0.9261295795440674,
0.7951737642288208,
0.6146376132965088,
-0.07614019513130188,
-0.01515879761427641,
-1.1669394969940186,
-0.44810909032821655,
0.20985838770866394,
0.051575928926467... |
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