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're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Two woman on the computer. | 8 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.46021702885627747,
0.7016168236732483,
0.4495227634906769,
-0.7948758602142334,
0.4594517648220062,
-0.37579625844955444,
-0.6884863972663879,
0.595745325088501,
0.34425029158592224,
-0.07449260354042053,
-0.5514363646507263,
-0.3604389429092407,
-0.5389539003372192,
-0.1438328921794891... |
Given the task definition and input, reply with output. In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will alwa... | j, r, U | 5 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.9034719467163086,
0.7545242309570312,
-0.25636377930641174,
0.16323019564151764,
0.20192919671535492,
0.3061482906341553,
0.09463601559400558,
-0.20522895455360413,
-0.22605696320533752,
-0.23229104280471802,
-0.8288488388061523,
0.23138293623924255,
0.15508580207824707,
-0.557807147502... |
Definition: In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if... | NOT | 2 | NIv2 | task286_olid_offense_judgment | zs_opt | [
-1.3291130065917969,
0.35606294870376587,
0.40452858805656433,
0.41650933027267456,
-0.02798840031027794,
-0.4795645475387573,
0.48305386304855347,
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-0.054030388593673706,
0.010393582284450531,
-0.3704948127269745,
-0.76082330942... |
Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Input: How many core editions are there of windows server 2012?
Output: | How many 32 GB core editions are there of windows server 2012? | 3 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-1.188661813735962,
0.30202189087867737,
-0.168015256524086,
0.46424657106399536,
-0.23854056000709534,
-0.32644784450531006,
0.5150381326675415,
0.2675248086452484,
0.44040143489837646,
-0.3515956401824951,
0.8959139585494995,
0.0655115395784378,
-0.47237977385520935,
0.023682020604610443... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Pode-se fazê-lo com ameaças, de coerção — punição pode fazê-lo com pagamentos — recompensa, ou poderá fazê-lo conseguindo que outros desejem o que você deseja. | يمكنكم فعل هذا بالتهديد ، الاكراه — أو لنسمه العصا ، ويمكنكم استخدام الترغيب — الجزرة ، أو يمكنكم التأثير عن طريق جعل الآخرين يرغبون فيما ترغبونه. | 0 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
-0.8996968269348145,
1.1141242980957031,
0.6373240947723389,
-0.7957174181938171,
-0.5239542722702026,
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1.1658575534820557,
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-0.03242220729589462,
-0.931871235370636,
-0.5323296785354614,
-0.8946087956428528,
0.3266497850418091,
0... |
Teacher: You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible out... | elementary | 2 | NIv2 | task1712_poki_classification | fs_opt | [
0.502781093120575,
0.4835614562034607,
0.5449717044830322,
-0.006898787803947926,
-0.04016029089689255,
-0.9428039193153381,
0.6831104755401611,
0.4902176260948181,
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-0.7804590463638306,
-0.26830124855041504,
0.17611604928970337,
-0.29658573865890503,
0.11418190598487854,
... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | 0 | 6 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.9165850281715393,
1.0149621963500977,
0.007278451696038246,
-0.5924360156059265,
0.10345093905925751,
-0.24796947836875916,
1.4400463104248047,
-0.4022902250289917,
0.2737938463687897,
-0.9332394599914551,
-0.0233304500579834,
-0.44178506731987,
-0.8205511569976807,
-0.30143195390701294,... |
TASK DEFINITION: In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
PROBLEM: Bicycles have square wheels.
... | C
| 8 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | fs_opt | [
-0.28289806842803955,
0.7681049108505249,
-0.9494156837463379,
0.2537967264652252,
-0.22946476936340332,
-0.6824506521224976,
0.6817504167556763,
0.3739340901374817,
0.010800853371620178,
0.03981492668390274,
-0.4044208228588104,
0.7379339933395386,
0.5925921201705933,
-0.24078205227851868... |
Detailed Instructions: Translate the given Spanish text to English
Problem:The convex nose cutting edge (10, 10') connects the first (11, 11') and second (12, 12') cutting edges.
Solution: | El borde (10, 10´) de punta cortante convexo conecta el primer (11, 11´) y segundo (12, 12´) bordes cortantes. | 8 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
0.19920068979263306,
0.6232479214668274,
-0.6018588542938232,
-0.8230533599853516,
-0.5850539803504944,
0.6408004760742188,
-0.05578359588980675,
0.0763179361820221,
-0.09232162684202194,
0.5982962846755981,
0.33389660716056824,
-0.7532674074172974,
-0.35301828384399414,
-0.245974540710449... |
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
--------... | You can think a nifty algorithm to make music .
| 7 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.16549339890480042,
0.8385056257247925,
-0.07235001027584076,
0.4268972873687744,
0.2892645597457886,
-0.9092883467674255,
0.02005123719573021,
0.6663257479667664,
-0.5842093825340271,
0.13530617952346802,
-0.7994927763938904,
-0.18276801705360413,
-0.6561012864112854,
-0.4131323099136352... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text one
| 6 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.13816167414188385,
-0.2337551712989807,
-0.2631996273994446,
0.28336280584335327,
0.24689865112304688,
-1.5455518960952759,
0.5514787435531616,
0.5839508175849915,
0.08364301919937134,
-0.061542220413684845,
-0.05851231515407562,
0.1434771716594696,
-0.7637978792190552,
0.13275903463363... |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
ਸ਼ਸ਼ੀ ਥਰੂਰ, ਪਿਆਰੇ ਮਿੱਤਰੋਂ ਨਮਸਕਾਰਮ,
ശശി തരൂര്, പ്രിയപ്പെട്ട അതിഥികളെ, നമസ്ക്കാരം,
ਦੋਹਾਂ ਹੀ ਪੀਐੱਮਪੀ ਯੋਜਨਾਵਾਂ ਨੂੰ ‘ਪਰਿਵਰਤਨਕਾਰੀ ਗਤੀਸ਼ੀਲਤਾ ਅਤੇ ਬੈਟਰੀ ਸ... | -അപകടാടിസ്ഥാനത്തിലുള്ള സുരക്ഷാ പരിപാലന സംവിധാനം നടപ്പാക്കുക, പരിശീലനം ലഭ്യമാക്കുക.
| 0 | NIv2 | task1006_pib_translation_punjabi_malayalam | fs_opt | [
-0.0961596816778183,
0.29870909452438354,
-0.15121488273143768,
-0.18104806542396545,
-0.5609312653541565,
-0.8138800859451294,
0.38956451416015625,
-0.5703179240226746,
-0.1973303258419037,
0.5640565156936646,
-0.2746020555496216,
-0.27907779812812805,
0.19899913668632507,
-0.117117151618... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example: The debate is closed.
Solution is here: Jag förklarar debatten... | Nielson kan inte närvara här i dag, eftersom han befinner sig i Sydafrika. | 6 | NIv2 | task313_europarl_en_sv_translation | fs_opt | [
-0.040841538459062576,
0.6826163530349731,
0.6809134483337402,
-0.6984184980392456,
0.09745214879512787,
-0.3035082221031189,
0.9764597415924072,
0.1423427164554596,
1.0354186296463013,
-0.08457601070404053,
0.035000041127204895,
1.371376872062683,
-0.828860878944397,
-0.035571493208408356... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Output: Against
| 2 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
-0.25263652205467224,
0.6382917761802673,
0.19034722447395325,
0.43018046021461487,
-0.3046351969242096,
-1.1283007860183716,
0.4279126226902008,
0.7016590237617493,
0.22099782526493073,
0.5857495069503784,
-0.42152872681617737,
0.04932422563433647,
-0.08016310632228851,
-0.623792529106140... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
כך שהאוקינוסים לא תמיד נוהגים באותה צורה, אלא בנפרד, אבל זהו סוג של שינוי שהפינגווינים צריכים לחיות איתו, וזה לא קל.
A: | Así que los océanos no siempre trabajan juntos, pero es este tipo de variación a la que los pingüinos se enfrentan a diario y no es fácil. | 7 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-1.2585029602050781,
0.23234933614730835,
-0.5573265552520752,
0.11974833905696869,
-0.5739762187004089,
-0.2979273200035095,
-0.08162708580493927,
-0.35920268297195435,
0.3078455924987793,
-0.487210214138031,
0.2592448890209198,
-0.03037199005484581,
-0.8371337056159973,
0.094476319849491... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of ... | NNS | 4 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
-0.15416917204856873,
0.5964664220809937,
-0.23139861226081848,
0.08657534420490265,
0.06570009887218475,
-0.8129587769508362,
0.7599485516548157,
0.9175080060958862,
-0.5603408217430115,
-0.24541160464286804,
-0.548620879650116,
0.5422945022583008,
-0.25767141580581665,
0.0833168178796768... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No | 3 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.21937189996242523,
0.20336568355560303,
0.43100816011428833,
-0.038322724401950836,
-0.5031141042709351,
-0.6557554006576538,
1.1606252193450928,
0.320314884185791,
-0.4521954655647278,
-0.5524923801422119,
-0.575448215007782,
-0.4641109108924866,
-0.6245986223220825,
0.5324807167053223,... |
Detailed Instructions: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Problem:quusssusqqsqs
Solution: | usssu | 8 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.3711833655834198,
1.3527400493621826,
-0.29365622997283936,
-0.9799220561981201,
-0.5927754640579224,
-0.5439109802246094,
1.1097837686538696,
-0.6958345174789429,
0.10929380357265472,
0.28263241052627563,
-0.21869467198848724,
0.27007126808166504,
-0.5450650453567505,
0.355160295963287... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset ... | NUM | 9 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.731534481048584,
0.254577100276947,
-0.01865079253911972,
-0.14420601725578308,
0.08345486968755722,
-0.6652148365974426,
0.9918305277824402,
0.741817831993103,
-0.2783118486404419,
-0.035762183368206024,
-0.391017884016037,
0.20719212293624878,
-0.6114599108695984,
0.528465986251831,
... |
Teacher: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Teacher: Now, understand the problem? If you are still confused, see the following exa... | Insult | 2 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-1.0011301040649414,
0.48894402384757996,
0.7892051935195923,
0.06036321446299553,
0.12302631884813309,
-0.6542598605155945,
-0.08505305647850037,
0.39801234006881714,
0.3999427556991577,
0.4256196618080139,
0.15289148688316345,
0.12520603835582733,
-0.45969709753990173,
-0.975018858909606... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Input: Wracając do rur lawowych... Opowiedziałam o organizmach ziemskich.
Output: | 溶岩洞について話します地球の洞窟の生物はお話しました | 3 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-1.0202279090881348,
0.6129918098449707,
0.08769764006137848,
0.10597549378871918,
-0.9248635768890381,
-0.10618673264980316,
0.8941996097564697,
-0.8135645389556885,
-0.5413764715194702,
-0.4174531102180481,
-0.5862867832183838,
0.5960948467254639,
-1.182625651359558,
0.49885356426239014,... |
Teacher:You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Teacher: Now, understand the problem? Solve this instance: Category: GOVERNMENT AT YOU... | mediation | 6 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.8440843820571899,
0.4926726222038269,
0.05569814518094063,
-0.5522129535675049,
0.4886090159416199,
-0.5731044411659241,
0.29510587453842163,
0.4713095426559448,
0.47298553586006165,
0.4814305901527405,
-0.36679860949516296,
-0.22417709231376648,
-0.4068760871887207,
-0.3264973759651184... |
Definition: You have to predict the type of conversation sentence given as input. Your predictions can be one among: 'information' if the input statement states a piece of information, 'question' if the input statement asks for some information, 'directive' if the input sentence involves the management or guidance of o... | information | 2 | NIv2 | task1531_daily_dialog_type_classification | zs_opt | [
-0.11259464174509048,
0.2058810591697693,
-0.13696464896202087,
0.283747136592865,
0.11402654647827148,
-0.27874791622161865,
0.5409864187240601,
-0.06009376049041748,
0.5129097700119019,
-0.20977672934532166,
-0.864668071269989,
-0.1869632601737976,
-0.5438402891159058,
0.2175915539264679... |
Detailed Instructions: Given a sentence in Chinese, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
Q: Dorothy Kate Richmond，Frances Hodgkins和Gwen Knight是斯图尔特的同代人。
A: | Dorothy Kate Richmond, Frances Hodgkins und Gwen Knight waren ein Stewart-Zeitgenosse. | 9 | NIv2 | task811_pawsx_chinese_german_translation | zs_opt | [
-0.6356393098831177,
0.8538076281547546,
0.4868815839290619,
-1.2325927019119263,
0.5654423236846924,
-0.8005939722061157,
0.1557796150445938,
-0.27144327759742737,
0.993169903755188,
-0.03560393303632736,
0.5788482427597046,
0.07179471850395203,
-0.5772925019264221,
-0.30140623450279236,
... |
Given the task definition and input, reply with output. 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: bankers and traders in the heart of london 's financial district ... | no | 5 | NIv2 | task289_gigaword_summarization | zs_opt | [
-1.3644996881484985,
1.230159044265747,
0.20207896828651428,
0.26179391145706177,
-0.1865670531988144,
-0.2494269609451294,
0.028603732585906982,
0.5369075536727905,
0.34786611795425415,
-0.029567457735538483,
-0.47383826971054077,
0.43318483233451843,
-0.6363621354103088,
-0.0331756696105... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | decrease stamina.
| 5 | NIv2 | task041_qasc_answer_generation | fs_opt | [
-0.03544989228248596,
0.6453418731689453,
-0.44742995500564575,
-0.6622733473777771,
-0.9303844571113586,
-1.373966097831726,
0.11217795312404633,
0.3376787304878235,
0.32280972599983215,
-0.026618853211402893,
-1.2434065341949463,
0.13454845547676086,
-0.9391171932220459,
-0.2388581335544... |
Part 1. Definition
In this task if the pronoun is female or gender-neutral you are to replace it with a male pronoun. If there are no pronouns add a male-gendered word to the sentence.
Part 2. Example
She designed monumental Loviisa war cemetery in 1920.
Answer: He designed monumental Lovissa war cemetery in 1920.
Expl... | Have you hear of Da vinci code, i know a little about it, can you tell me more? | 7 | NIv2 | task1669_md_gender_bias_text_modification | fs_opt | [
-0.5957788228988647,
1.311575174331665,
-0.7077682018280029,
-0.6793275475502014,
-0.27859970927238464,
-0.6976790428161621,
0.5924493074417114,
0.3809398412704468,
1.1506664752960205,
-0.1270923614501953,
-1.0579204559326172,
0.3648930788040161,
-0.8883985280990601,
-0.5738959312438965,
... |
Given the task definition and input, reply with output. In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the len... | q, t, 37, n, l, 2053 | 5 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-1.0050005912780762,
0.6180460453033447,
-0.24033001065254211,
-0.4838600754737854,
-0.057426318526268005,
-0.02662517875432968,
0.31332528591156006,
-0.44113239645957947,
-0.2774805724620819,
-0.006638987921178341,
-1.0112396478652954,
0.38320666551589966,
-0.0015303031541407108,
-0.11967... |
You will be given a definition of a task first, then some input of the task.
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Yo... | Text two | 1 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.3850978910923004,
0.9008040428161621,
-0.03292830288410187,
-0.4197074770927429,
0.3543127179145813,
0.08091937005519867,
0.24346011877059937,
0.852601945400238,
0.7226553559303284,
0.203854501247406,
-0.11053253710269928,
-0.6793675422668457,
-0.618514895439148,
-0.251994252204895,
-... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Problem:कारण जेव्हा, सरकार विषयी चर्चा होते, तेव्हा म्हंटले जाते की धोरणे तर तयार होतात, मात्र शेवटच्या माणसापर्यत त्याची अंमलबज... | જ્યારે પણ સરકારની વાતો આવે છે તો કહેવાય છે કે નીતિઓ તો બનતી રહે છે પરંતુ છેલ્લા તબક્કા સુધી પહોંચતી નથી હોતી. | 8 | NIv2 | task984_pib_translation_marathi_gujarati | zs_opt | [
0.5322065353393555,
0.5672415494918823,
0.22113409638404846,
-0.4571775794029236,
-0.2808361053466797,
-1.12949800491333,
0.7001330852508545,
0.18205364048480988,
-1.0592014789581299,
-0.41304248571395874,
-0.6726588606834412,
-0.6221863031387329,
-0.736446738243103,
0.4862269461154938,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentenc... | I've owned this Family Ties program for a while. | 1 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-0.995964765548706,
0.5173976421356201,
-0.09275713562965393,
0.08030619472265244,
0.5451932549476624,
-0.5403835773468018,
-0.12868750095367432,
0.6085079908370972,
0.234405517578125,
0.07304492592811584,
-0.5384418368339539,
0.08507933467626572,
-0.4192323088645935,
-0.2662714421749115,
... |
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 .
One example: Statement: सिग्नेचर केल्विन क्लेन अंडरवियर बुटीक, ब्यूनस आयर्स, टोरंटो, मेक्सिको सिटी, <MASK>, ग्लासगो,... | कैरेबियन | 6 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.4561590850353241,
0.7207032442092896,
-0.36144647002220154,
0.19915229082107544,
0.4071052670478821,
-0.5994112491607666,
-0.3912147879600525,
0.5008772611618042,
0.05117212235927582,
-0.15380936861038208,
0.26118260622024536,
0.44078952074050903,
-0.5200256109237671,
-0.4595075249671936... |
Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two se... | Sentence 1: Mark wanted to paint the shutters and needed paintbrushes but didn’t need rollers because he found none of the _ at home.
Answer1: paintbrushes.
Sentence 2: Mark wanted to paint the shutters and needed paintbrushes but didn’t need rollers because he found several of the _ at home.
Answer2: rollers. | 3 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.399867445230484,
0.25029540061950684,
-0.11184093356132507,
-0.3819931149482727,
0.6909922361373901,
-0.5128752589225769,
0.5424479246139526,
1.112921953201294,
-0.6821183562278748,
-0.24425312876701355,
-0.3466176688671112,
-0.05036895349621773,
-0.4596393406391144,
-0.20274531841278076... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | none | 3 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
0.12642864882946014,
-0.08336347341537476,
-0.1758141815662384,
-0.43759894371032715,
-0.3000866174697876,
-1.2400970458984375,
-0.12527281045913696,
1.2027370929718018,
-0.5500355362892151,
0.16176123917102814,
-0.6438469290733337,
0.039831988513469696,
-0.723138689994812,
-0.139095276594... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Input: Consider Input: لذا في نهاية المطاف ، قُمنا بالتسوية.
Output: So at the end, I had a settlement with them.
Input: Consider Input: إذاً بما أنّني الآن أملك انتبهاهكم ، السؤال التالي هو: كيف أقرؤه ؟
Output: So now t... | Output: Everyone in this room has been affected by a teacher or an adult.
| 2 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
0.35416102409362793,
0.5778370499610901,
0.4000372290611267,
-0.6574223041534424,
-0.0025054793804883957,
-0.1506996601819992,
0.9705365896224976,
-0.5586178302764893,
0.9673644304275513,
-0.14562934637069702,
0.13399508595466614,
0.6129477620124817,
-0.383050799369812,
0.14584967494010925... |
You will be given a definition of a task first, then some input of the task.
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Bought this for my husband as a Christmas gift..He loves it for his X box one to store his games
Output: | Bought this for my husband as a Christmas gift. ... | 1 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.45720386505126953,
-0.1450781226158142,
-0.5060720443725586,
-0.038696251809597015,
0.2998347282409668,
-0.283160924911499,
1.0182993412017822,
0.2606241703033447,
0.2467907965183258,
0.2342882752418518,
0.11781655251979828,
-0.1539393663406372,
-0.5635260939598083,
-0.5335267782211304,... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Let me give you an examp... | allowing one classmate to be transphobic toward another even though I am also trans | 8 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
-0.007795017212629318,
-0.26815876364707947,
0.0366581492125988,
0.39179015159606934,
0.5265179872512817,
-0.5536552667617798,
-0.22667726874351501,
0.6646389961242676,
-0.5391322374343872,
0.5414046049118042,
-0.1878901571035385,
0.32659250497817993,
-0.5473821759223938,
0.041410904377698... |
Detailed Instructions: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem:Problem: when a number is divided by 6 & then multiply by 12 the answer is 10 what is the no . ?
Options: a ) 4.5 , b ) 5 , c ) 5.6 , d ) 5.7 ,... | b | 8 | NIv2 | task1420_mathqa_general | zs_opt | [
0.6077976226806641,
0.2209583818912506,
-0.03998877480626106,
-0.20039772987365723,
-0.24939678609371185,
-0.3149426579475403,
1.360237717628479,
0.9929546117782593,
-0.5250134468078613,
-0.22297586500644684,
-0.17903286218643188,
-0.26710399985313416,
-0.424640417098999,
-0.32428082823753... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Q: What we saw was that people throughout Asia, people throughout Africa, people throughout South America, they told us that they could use it too, and what's most important, what we'd found that we t... | Nos dimos cuenta de que la gente de Asia, África, América del Sur, nos decía que podrían usarlo también, y lo más importante, lo que pensábamos que era una excepción, que en el bosque había muy buena señal, | 9 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.5116345882415771,
0.6151154041290283,
-0.7124455571174622,
-1.0562355518341064,
-0.6112666130065918,
-1.5339854955673218,
0.005158611573278904,
1.0653163194656372,
0.14319363236427307,
0.09157764911651611,
-0.37254849076271057,
-0.02172447182238102,
-0.4943443834781647,
-0.2637039422988... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Spanish 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 Spanish language. 2)... | Por pequeña que fuese la confianza de Elinor en la veracidad de Lucy, le era imposible, pensándolo con seriedad, sospechar de ella en las circunstancias actuales, donde difícilmente algo podía inducir a inventar mentiras como las anteriores. | 0 | NIv2 | task1651_opus_books_en-es__translation | zs_opt | [
-0.8174419403076172,
0.9548428058624268,
-0.0975491851568222,
-0.03318827971816063,
-0.6076486110687256,
-0.8529394865036011,
0.909407913684845,
0.4848496913909912,
0.022228971123695374,
-0.7587948441505432,
0.2406700998544693,
0.9843136072158813,
-1.3048070669174194,
0.11466110497713089,
... |
Part 1. Definition
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event... | No | 7 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.6643332242965698,
-0.23968608677387238,
0.2929043471813202,
-0.1328834593296051,
-0.20334841310977936,
-0.9898617267608643,
1.4401271343231201,
0.5043654441833496,
-0.8524965047836304,
-0.3544231653213501,
-0.4112786054611206,
-0.4043768644332886,
-0.9245566129684448,
0.03957789391279220... |
Instructions: 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 potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain... | No | 3 | NIv2 | task609_sbic_potentially_offense_binary_classification | zs_opt | [
-0.7035752534866333,
-0.1888999044895172,
0.6585202813148499,
0.5203625559806824,
0.4607918858528137,
-0.15010833740234375,
0.01740252785384655,
0.35897037386894226,
0.38029927015304565,
0.4017055928707123,
-0.18489375710487366,
-0.17884105443954468,
-0.08475043624639511,
-0.94467717409133... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Example input: Pero comenzamos con la idea de un niño por vez.
Example output: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Example explanation: The Spanish sentence is correctly translated into Hebrew, because the meani... | א.ו.: זה היה כאילו הוא מתגרה בנו, עושה מעין ריקוד מניפה — עכשיו רואים אותי, ועכשיו לא — היו לנו ארבע הופעות מתגרות שכאלו, ולאחר-מכן בחמישית, הוא התקרב ולגמרי הדהים אותנו. | 3 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.33821290731430054,
0.530072033405304,
0.34418976306915283,
-0.02901582233607769,
-0.45116448402404785,
0.029074229300022125,
0.9561471939086914,
0.6037296652793884,
0.5016380548477173,
-0.18624940514564514,
0.06819343566894531,
0.43248051404953003,
-1.3530185222625732,
0.219860285520553... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
One example: 1, ... | I | 6 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
-0.2009853571653366,
-0.005151053424924612,
-0.2473144829273224,
-0.6900461912155151,
0.1848260760307312,
-0.36095812916755676,
0.8784843683242798,
-0.17380598187446594,
-0.21594181656837463,
0.24176032841205597,
-1.1683979034423828,
-0.06509964168071747,
0.08553531765937805,
-0.1910319924... |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example is below.
Q: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Filipino: Ang mga det... | Yes | 9 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.5678893327713013,
-0.5242205262184143,
0.07484037429094315,
0.15168721973896027,
0.13460204005241394,
-0.6171988248825073,
0.6298612356185913,
0.4453020691871643,
-0.20494773983955383,
-0.5226784944534302,
-0.14416271448135376,
0.8880271315574646,
0.09709970653057098,
0.7689454555511475... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
One example is below.
Q: It's sort of the biggest TiVo box you've ever seen.
A: To największa nagrywarka, jaką w życiu widzieliście.
Rationale: The English sentence is correctly translated into Polish, because the meaning is... | Powiem wam, jak to działa. Chcąc wybudować coś w Wielkiej Brytanii, na przykład cmentarz, trzeba najpierw wystąpić o pozwolenie na budowę. | 9 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.0037907178048044443,
0.8537720441818237,
0.39323940873146057,
0.1823413074016571,
0.3640350103378296,
-0.6822109818458557,
0.6626260280609131,
-0.5350692272186279,
-0.11025287210941315,
0.18781745433807373,
0.44797831773757935,
0.6547489762306213,
-0.6006283760070801,
0.579201877117157,... |
Given the task definition and input, reply with output. Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
少なくとも3人が死亡、少なくとも15人がけがをした。
| มีผู้เสียชีวิตอย่างน้อย 3 คน และบาดเจ็บอย่างน้อย 15 คน | 5 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
0.22367188334465027,
0.03924454748630524,
-0.24299536645412445,
-0.15059930086135864,
0.29213058948516846,
0.01120956800878048,
0.6567193269729614,
0.48815208673477173,
-0.19507984817028046,
0.12708395719528198,
-0.5772875547409058,
1.0801982879638672,
-0.2426176518201828,
0.49251931905746... |
Part 1. Definition
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Part 2. Example
Timothy likes to play sports. He spends his time after school playing basket... | Yes | 7 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.9163694381713867,
-0.590438187122345,
-0.3138386309146881,
0.07027645409107208,
0.6886705756187439,
-0.13305284082889557,
1.0778443813323975,
0.7369594573974609,
0.0466679148375988,
0.02132762409746647,
-0.11780019104480743,
0.6738274097442627,
-0.5488263964653015,
0.034432023763656616,
... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
(ج) الطلبات الواردة من منظمات غير حكومية لها مركز استشاري لدى المجلس الاقتصادي والاجتماعي واندمجت مع منظمات غير حكومية أخرى لا تتمتع بهذا المركز الاستشاري. | (c) Applications of non-governmental organizations in consultative status with the Economic and Social Council that have merged with non-governmental organizations without such consultative status. | 0 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
-0.16323375701904297,
-0.14815227687358856,
-0.05206407979130745,
-0.42382150888442993,
0.28981900215148926,
-0.8738664388656616,
0.7657568454742432,
-0.03498857095837593,
-0.11882257461547852,
0.20605334639549255,
-0.43673208355903625,
0.1418347954750061,
-0.7056628465652466,
-0.057865276... |
You will be given a definition of a task first, then some input of the task.
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: WHITE H... | george w. bush pilot | 1 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.962879478931427,
0.3772607445716858,
-0.01887405663728714,
-0.2958419919013977,
-0.10245409607887268,
0.07757892459630966,
1.354863166809082,
0.16962715983390808,
0.055895380675792694,
0.05832849070429802,
-0.40857213735580444,
0.31555840373039246,
-0.18804317712783813,
-0.0249235425144... |
Given the task definition, example input & output, solve the new input case.
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of h... | Event. | 1 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.9951969385147095,
-0.3258511424064636,
-0.16846758127212524,
0.3610859513282776,
0.3880561590194702,
-0.3323683738708496,
0.6393819451332092,
1.102371335029602,
-0.23889070749282837,
-0.25952768325805664,
-0.4842739701271057,
0.003398763481527567,
-0.20595067739486694,
-0.077238678932189... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Example: Sen... | Solution: C | 5 | NIv2 | task190_snli_classification | fs_opt | [
-0.24379625916481018,
0.3613710403442383,
0.40678223967552185,
-0.4766610562801361,
0.14906516671180725,
-0.8625892400741577,
-0.13906903564929962,
0.769310474395752,
0.2145116627216339,
0.389281302690506,
-0.3818349838256836,
-0.1532551348209381,
-0.5930401086807251,
-0.41780784726142883,... |
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.
One example is below.
Q: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid ce... | The findings of the present study suggest that the chemopreventive effect of TC is associated with upregulation of endogenous cytoprotective machinery and downregulation of inflammatory mediators (interleukin (IL)-6, COX-2, i-NOS, ODC, and NF-κB). | 9 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.1752179116010666,
0.7222400903701782,
-0.46059301495552063,
0.029351161792874336,
0.6930584907531738,
-0.39562779664993286,
0.24233996868133545,
0.6276144981384277,
-0.12419864535331726,
0.2787351608276367,
-0.19142034649848938,
0.016627024859189987,
-0.8425116539001465,
0.47141972184181... |
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 round any decimal... | [-298, -18.0, -5.5, 22.0, 190, 238, -250, 4.0, -226]
| 7 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.8669787645339966,
0.4862539768218994,
0.005559868644922972,
-0.053359270095825195,
0.2613874673843384,
0.08641944825649261,
1.2772372961044312,
0.0671953335404396,
-0.270176500082016,
0.3064383268356323,
-0.8026371598243713,
-0.18984495103359222,
-0.6194279789924622,
-0.1332581043243408... |
Detailed Instructions: In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
See one example below:
Problem: a georgian inscription around the drum attests his name.
Solution: there is a georgian inscr... | two storms on recored that had forms in december and lasted into january are hurricane alice from 1954 and tropical storm zeta from 2005. | 4 | NIv2 | task934_turk_simplification | fs_opt | [
0.11039716005325317,
0.4753168225288391,
-0.5013250112533569,
-0.24905920028686523,
0.04570414125919342,
-1.4262994527816772,
0.6711196899414062,
0.5232378244400024,
-0.2937096059322357,
0.23006494343280792,
-0.4964239001274109,
-0.023415034636855125,
-0.7603317499160767,
0.279058247804641... |
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Example Input: [46, -60.203, 7.... | [-48, -87, 33, -27]
| 3 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.2351919710636139,
0.30241090059280396,
-0.22323596477508545,
-0.5150853991508484,
-0.011536242440342903,
-0.19623017311096191,
0.977705180644989,
0.49559056758880615,
-0.1819661557674408,
-0.11583851277828217,
-0.5705638527870178,
0.5658214092254639,
-0.1398455798625946,
-0.350768655538... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Q: Ieri stavo guardando Jane [Goodal], e ho pensato che fosse davvero eccezionale, e stavo guardando queste incredibili presentazioni sugli scimpanzè, ed ho pensato: "Wow. Ma se uno scimpanzè potesse parlare? Cosa potrebb... | 一つ目はこの「インターネット・ゼロ」というウェブ・サーバーです RFID タグ同様の価格と複雑さで約1ドルであらゆる電球やドアノブに入れられるもので非常に速く商品化が進んでいます
****
| 4 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.4520675539970398,
0.2004605084657669,
-0.017180312424898148,
0.5437155365943909,
0.041950322687625885,
-0.9254987239837646,
0.4640398919582367,
0.7748374938964844,
-0.1267787218093872,
-0.34456193447113037,
-0.41334646940231323,
0.30203837156295776,
-0.46824684739112854,
0.2379665672779... |
The provided file includes inquiries about restaurants, and we ask you to translate those to the Italian language. Please bear in mind the following guidlines 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 colloqu... | trovami ristoranti a "kansas city , mo".
****
| 4 | NIv2 | task173_spl_translation_en_it | fs_opt | [
-0.09027083218097687,
0.614258885383606,
-0.20833098888397217,
0.07162787020206451,
-0.32325631380081177,
-0.48275792598724365,
0.5562590956687927,
0.54183030128479,
-0.32114773988723755,
-0.742713451385498,
0.19543734192848206,
-0.005764154717326164,
-0.0450904443860054,
0.605265974998474... |
Teacher:In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Teacher: Now, understand the problem? Solve this instance: Sharp Corp. is banking on fresh strawberries to help rebuild the fortunes of the struggling electronics giant.
Sharp is pla... | Remember Sharp? Perhaps you owned one of the Japanese company's TVs many years ago. Perhaps you still do—though that's less likely, given, as Reuters reports, the company had to get bailed out by banks last year after posting a $5.5 billion loss. So to address its flagging fortunes, Sharp is planning to start selling a... | 6 | NIv2 | task1291_multi_news_summarization | zs_opt | [
-0.04143071919679642,
0.6753270626068115,
-0.3824090361595154,
0.09519709646701813,
0.4222155213356018,
0.634517252445221,
0.8154828548431396,
0.9641414880752563,
-0.16621389985084534,
0.39814895391464233,
0.004126034677028656,
0.7232809662818909,
-0.48656243085861206,
0.3720515966415405,
... |
Definition: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Input: Nicole Kidman makes it a party worth attending .
Output: | POS | 2 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.4900842308998108,
0.2652971148490906,
0.11161592602729797,
-0.05738947167992592,
-0.06255216896533966,
-0.5820409059524536,
0.8596460223197937,
-0.06195473670959473,
0.5759972929954529,
0.9377965331077576,
-0.0772470235824585,
-0.7042810916900635,
-0.11731725186109543,
0.554380416870117... |
Detailed Instructions: You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the... | What is a good platform for writing complex web apps in php? | 4 | NIv2 | task1594_yahoo_answers_topics_question_generation | fs_opt | [
-0.8747255206108093,
0.510028600692749,
-0.7837268114089966,
0.3427222669124603,
0.15913823246955872,
-0.5426580905914307,
0.11801552772521973,
0.755983293056488,
0.17191727459430695,
0.5271264314651489,
-0.1045784056186676,
0.22980996966362,
-0.21111153066158295,
0.35058966279029846,
-0... |
Teacher:You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', ... | No emotion,No emotion,No emotion,No emotion | 6 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.5947951078414917,
0.27237004041671753,
0.11600881814956665,
-0.9012846350669861,
-0.023486826568841934,
-0.12199322134256363,
0.9374455213546753,
0.12467774748802185,
-0.1247725635766983,
-0.5790990591049194,
0.031306955963373184,
-0.4818214476108551,
-0.6729019284248352,
0.566758215427... |
instruction:
Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
question:
Verify if the sentiment of the following document towards the entity Michelle Obama is... | yes
| 9 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-0.9408180117607117,
-0.7758986353874207,
-0.7136405110359192,
0.8391950130462646,
-0.3068233132362366,
-0.8896232843399048,
0.4036492109298706,
0.9444268941879272,
0.4204864501953125,
0.04134618118405342,
-0.42430901527404785,
0.4877178370952606,
0.39235395193099976,
-0.16883596777915955,... |
A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Let me give you an example: ગાંધીજી ભારતને એક એવા સર્વસમાવેશક રાષ્ટ્ર સ્વરૂપે જોતાં હતાં, જ્યાં વસતિનો દરેક વર્ગ સમાનતા સાથે રહેતો હોય અને દરેક માટે સમ... | The Prime Minister said that the next step in this movement of Swachhta, should be conversion of waste to wealth. | 8 | NIv2 | task1080_pib_translation_gujarati_english | fs_opt | [
-0.4030974507331848,
0.3977159857749939,
0.2741692364215851,
-0.6674301624298096,
0.16208577156066895,
-1.0807180404663086,
0.4376215934753418,
-0.05098573490977287,
0.060511041432619095,
-0.11378258466720581,
-0.4006950855255127,
0.10377874225378036,
-0.03571978583931923,
-0.0803364962339... |
Instructions: In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Input: Sentence: The phy... | Secretary | 3 | NIv2 | task342_winomt_classification_profession_pro | zs_opt | [
-1.8127249479293823,
0.9863080978393555,
-0.3253638744354248,
-0.9407095909118652,
0.263357937335968,
-0.11396078765392303,
-0.2667880654335022,
0.3291318416595459,
1.042751431465149,
-0.036232464015483856,
-1.0223374366760254,
0.19602780044078827,
-0.45112383365631104,
-0.185774564743042,... |
Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
The site collects your IP address or device IDs for an additional (non-basic) service... | Contact
| 0 | NIv2 | task684_online_privacy_policy_text_information_type_generation | fs_opt | [
0.0613722987473011,
0.4173200726509094,
-0.9433069825172424,
-0.18834368884563446,
-0.8731244802474976,
-0.7252168655395508,
0.624918520450592,
0.3103654682636261,
0.048969611525535583,
0.8121447563171387,
-0.30582571029663086,
-0.39958280324935913,
-0.8321290016174316,
-0.8899388313293457... |
Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Verify if the sentiment of the following document towards the entity Sheikh Ahmad is Positive . "We have al... | yes | 0 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-1.0756149291992188,
0.005134065635502338,
0.7583954334259033,
-0.6728432774543762,
-0.29619908332824707,
-0.5580711364746094,
0.5770394206047058,
-0.3117748200893402,
0.2914462089538574,
-0.11058013886213303,
0.1297445297241211,
-0.3048507869243622,
-0.1945502907037735,
-0.334061980247497... |
Instructions: This task is about translating a given French language sentence to English.
Input: L'élection elle est quand même très intuiti-personae.
Output: | I think, we move away from the election in this case ... | 3 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.5738649368286133,
1.2191355228424072,
0.45395463705062866,
0.43520957231521606,
0.0707051232457161,
-1.2742005586624146,
1.059665322303772,
-0.412325918674469,
0.17276042699813843,
0.11230136454105377,
0.0013348363572731614,
-0.04650896415114403,
-0.18252894282341003,
0.0909588858485221... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Ex Input:
Sentence: 'two man at the park and dog laying on the ground'. How many words end with the letter 'n' in the sentence.
Ex Output:
2
Ex Input:
Sentence: 'a close up of a cow b... | 2
| 1 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.26586300134658813,
0.433083713054657,
-0.334194540977478,
-0.910629153251648,
-0.6079170107841492,
0.08536624908447266,
0.3700839877128601,
0.8413680791854858,
0.36883270740509033,
-0.3395465016365051,
-0.8875710368156433,
-0.016991790384054184,
-0.35216620564460754,
0.03408930450677872... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Example: English: Resumption of the session
Spanish: Reanudación del período de sesiones
Example solution: Yes
Example explanat... | Solution: No | 5 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.6338339447975159,
0.1014639213681221,
-0.011652765795588493,
-0.09916646778583527,
-0.22082071006298065,
-0.8551923036575317,
0.642488956451416,
1.032881736755371,
-0.29218512773513794,
0.06852605193853378,
-0.17632323503494263,
0.14168421924114227,
-0.8165605068206787,
0.106675013899803... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | Harut Grigorian's opponent is Murthel Groenhart at event K-1 World MAX 2012 World Championship Tournament Final 16 located at Madrid, Spain | 4 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.3039555847644806,
0.3986077308654785,
-0.8350103497505188,
-0.9036619067192078,
-0.2050241380929947,
-0.01728418469429016,
0.10051459819078445,
0.10965060442686081,
0.11538345366716385,
-0.25063931941986084,
-0.7373995780944824,
0.7310827970504761,
-0.10759410262107849,
0.00033521652221... |
Detailed Instructions: 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... | bc | 4 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.2606905996799469,
0.2352869212627411,
-0.34876424074172974,
0.3346766233444214,
0.5192121267318726,
-0.49968913197517395,
0.5035641193389893,
1.4390496015548706,
-0.13976751267910004,
0.43759840726852417,
-0.26044246554374695,
-0.38307642936706543,
0.28525733947753906,
-0.22403800487518... |
Instructions: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Input: The 2008 election was not devoid of racist anti-Obama sentiment, but racial slurs and offensive slogans seem to be balder this time – from a racially derogatory joke circulat... | Forbes has tracked down the seller of the controversial "2012: Don't re-nig" anti-Obama bumper sticker, and Paula Smith claims there's nothing racist about it. "According to the dictionary," the "N word" does "not mean black. It means a low-down, lazy, sorry, low-down person. That’s what the N-word means," says Smith, ... | 3 | NIv2 | task1291_multi_news_summarization | zs_opt | [
-0.03724968433380127,
-0.07831087708473206,
-0.051446057856082916,
0.6753442287445068,
-0.03782830014824867,
-0.1480611264705658,
-0.06154106557369232,
1.4360060691833496,
-0.2542344033718109,
0.35543063282966614,
-0.11059357970952988,
1.0180068016052246,
0.21407006680965424,
-0.6871347427... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
W uproszczeniu wycina się formę z grafitu wsadza do pieca, nagrzewa do 1000 stopni, delikatnie nadmuchuje sie tytan, który jest już miękki, i doprow... | ما يمكننا عمله في الأساس ، هو مجرد قطع قالب جرافيت ، وضعه في الفرن, تسخينه إلى ١٠٠٠ درجة ، تضخيم التيتانيوم الناعم بلطف ، ثم تفجيره في أخر لحظة داخل هذا الشكل. | 1 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.5827502012252808,
0.450093537569046,
-0.2493652105331421,
-0.2881985008716583,
-0.07716219127178192,
0.34632226824760437,
1.055677890777588,
-0.30787432193756104,
0.2468905746936798,
0.20241335034370422,
-0.09121395647525787,
0.3293408751487732,
-0.580729603767395,
0.7152304649353027,
... |
TASK DEFINITION: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
PROBLEM: Given Relationship: 'be capital of', Sentence: 'Jaipur , the capital of Rajasthan , was built in 1728 by Maharaja Sawai Jai Singh II .'
... | discovered
| 8 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
0.0019982843659818172,
0.9045721292495728,
-0.31193163990974426,
-0.08075936883687973,
-0.3951784372329712,
-0.4135735332965851,
0.6856309771537781,
0.20535579323768616,
-0.4397175908088684,
-0.2279001772403717,
-0.7674132585525513,
0.3377545475959778,
-1.0891796350479126,
0.53618061542510... |
Q: 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.
వెనుక, మార్చి!
A: | To the rear, march! | 7 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
0.26002153754234314,
1.2937445640563965,
0.18212978541851044,
0.17870299518108368,
0.24094854295253754,
-0.5591051578521729,
0.9569066166877747,
0.16220809519290924,
-0.06612589210271835,
-0.6147168874740601,
-0.21972157061100006,
0.3774624466896057,
-0.8280805945396423,
0.6239824295043945... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Which castle oops I mean what does the Ujazdow National Gallery of Art organize exhibitions of art from? | What does the Ujazdow National Gallery of Art organize exhibitions of art from? | 0 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.20050612092018127,
0.8955222368240356,
-0.3989042043685913,
0.28646665811538696,
0.0466153621673584,
-0.876258134841919,
-0.06527791172266006,
-0.44821035861968994,
0.47717177867889404,
-0.6738473176956177,
-0.22208766639232635,
-0.24718023836612701,
-0.6150621175765991,
0.2881288528442... |
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 potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racia... | Yes
| 6 | NIv2 | task609_sbic_potentially_offense_binary_classification | fs_opt | [
-0.47565099596977234,
-0.1755492240190506,
0.5331056118011475,
0.2562412619590759,
0.3273431062698364,
-0.79833984375,
0.23735418915748596,
0.5944907665252686,
0.4051617980003357,
-0.0056314230896532536,
-0.45115309953689575,
-0.4170977473258972,
-0.14820775389671326,
-0.9395915865898132,
... |
Part 1. Definition
Given a text passage, come up with an appropriate title for it. The title should accurately represent what the main focus of the passage is. The title of a passage may be present in the first few sentences of the passage and/or be referred to multiple times in the passage. The title should be 1-5 wor... | My Side of the Mountain | 7 | NIv2 | task769_qed_summarization | fs_opt | [
0.7748349905014038,
0.9372385740280151,
-0.3721185624599457,
0.14627359807491302,
0.22515766322612762,
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0.6659144163131714,
0.40983450412750244,
0.1790873408317566,
0.05715440586209297,
-0.10245537757873535,
0.4775329828262329,
-0.702608585357666,
0.18491917848587036,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
Example: He grew up in Evanston, Illinois the second oldest of ... | Nikolai Pirogov | 1 | NIv2 | task330_gap_answer_generation | fs_opt | [
-0.3110756576061249,
0.5052754878997803,
-0.0028473695274442434,
0.3737426996231079,
0.10323259234428406,
0.42654746770858765,
0.6749557852745056,
0.7921862602233887,
0.6079922318458557,
-0.06799685955047607,
-0.5872799158096313,
0.870353102684021,
-0.805995762348175,
0.24554264545440674,
... |
Q: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
8 cups frozen hash brown potatoes (not the cubed type), 4 tablespoons butter, melted (divided), salt, pepper, 1 1/2 lbs ground beef (or ground lamb), 1 on... | frozen hash brown potatoes, butter, salt, pepper, ground beef, onion, thyme, flour, beef broth, Worcestershire sauce, carrots | 7 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
0.36314234137535095,
0.19958893954753876,
0.06759778410196304,
0.7936422228813171,
-0.1476549506187439,
-0.6361405849456787,
1.1946481466293335,
0.3587492108345032,
-0.4657217562198639,
-0.09641183912754059,
0.061020031571388245,
0.015282096341252327,
-0.8839957118034363,
-0.37328460812568... |
Given the task definition and input, reply with output. Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
The Junction and Calton Athletic will share the proceeds of an auction of memorabilia from th... | Trainspotting auction to aid Edinburgh charities | 5 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
-0.2796865701675415,
0.531528115272522,
0.0455147922039032,
0.6591956615447998,
-0.0036275966558605433,
-0.0045886896550655365,
0.07827713340520859,
0.09036801755428314,
0.20176956057548523,
-0.21862393617630005,
-0.25479069352149963,
0.20428121089935303,
-0.4162496030330658,
0.26190233230... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
One example: Category: EVERYBODY TALKS ABOUT IT...
Clue: In the winter of 1971-72, a record 1... | sweet dreams | 6 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.03008301928639412,
0.15284909307956696,
-0.6061161756515503,
0.21789073944091797,
0.13438129425048828,
-0.31132444739341736,
0.26909515261650085,
0.29435575008392334,
0.47121402621269226,
-0.10580547899007797,
-0.2995181679725647,
-0.7422712445259094,
-0.6146502494812012,
0.094808682799... |
You will be given a definition of a task first, then some input of the task.
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.
IT அடிப்படையிலான வசதிகளைப் பயன்படுத்துவதற்கு அங்கன்வாடி ஊழியருக்கு (AWW-கள்) ... | * ਆਈ ਟੀ ਅਧਾਰਤ ਉਪਕਰਣਾਂ ਦੀ ਵਰਤੋਂ ਲਈ ਆਂਗਨਵਾੜੀ ਵਰਕਰਾਂ ਨੂੰ ਉਤਸ਼ਾਹਿਤ ਕਰਨਾ। | 1 | NIv2 | task1016_pib_translation_tamil_punjabi | zs_opt | [
0.23002612590789795,
0.897705614566803,
0.13630938529968262,
0.2486116588115692,
-0.12553395330905914,
-0.8290902376174927,
0.7060798406600952,
0.367417573928833,
-0.11933411657810211,
0.6764814853668213,
-0.03304792940616608,
-0.30151310563087463,
-0.5042703747749329,
0.17395976185798645,... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 8 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.30863961577415466,
0.04899626597762108,
0.3632277250289917,
-0.025155484676361084,
-0.8099327087402344,
-0.5396347641944885,
1.1151655912399292,
0.628069281578064,
-0.4180712103843689,
-0.4030889868736267,
-0.5237072706222534,
-0.5932451486587524,
-0.12704774737358093,
-0.019761990755796... |
Q: This task is reading a paragraph and determining if it has proper nouns in it or not. A proper noun is a noun that designates a particular being or thing, does not take a limiting modifier, and is usually capitalized in English. The answer is true if at least one proper noun is present in the sentence, false otherwi... | False | 7 | NIv2 | task1705_ljspeech_classification | zs_opt | [
-0.18944446742534637,
0.7041906118392944,
-0.04867450147867203,
0.09404544532299042,
-0.5098282098770142,
-0.5218656063079834,
0.6070077419281006,
0.7327688932418823,
0.22548741102218628,
-0.1024462878704071,
-0.21235671639442444,
-0.263681560754776,
-0.859519362449646,
-0.3223282694816589... |
Instructions: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: （ｆ）にあるような、外国の動向は、憲法上、即判決に反映されることはない：数多くの国際結婚およびEUのような... | :foreign countries' movement as in (f) is not to be instantly reflected in judgment on constitutionality; they are different from Japan, with a large number of international marriages and expansion of regional unification like EU. | 3 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.16499537229537964,
0.17548473179340363,
0.5727518200874329,
-0.6302295923233032,
0.3445347547531128,
0.2619693875312805,
0.3494378924369812,
1.072368860244751,
-0.2660169303417206,
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-0.6118910312652588,
0.4091339707374573,
-0.9750059843063354,
-0.38686403632164,
0... |
A text is given in Marathi. Translate it from the Marathi language to the Oriya language. The translation must not omit or add information to the original sentence.
[Q]: ଏକମପି ଅକ୍ଷରମସ୍ତୁ, ଗୁରୁଃ ଶିଷ୍ୟଂ ପ୍ରବୋଧୟେତ୍ ।
[A]: आशियाई क्रीडा सामने, आत्ताही सुरूच आहेत.
[Q]: ସାରା ବିଶ୍ୱରେ ବୃଦ୍ଧି ପାଉଥିବା ହିଂସାର ଉତ୍ତର କେବଳ ବୌଦ୍ଧ ... | नवी दिल्ली, 14 जून 2018
| 5 | NIv2 | task1056_pib_translation_oriya_marathi | fs_opt | [
-0.40137821435928345,
0.1964685022830963,
-0.43117812275886536,
-0.41308432817459106,
-0.7487536668777466,
-0.8536723852157593,
0.21619117259979248,
0.41945964097976685,
0.07930953055620193,
-0.5987454652786255,
-0.5979405641555786,
-0.05097854882478714,
-0.2526851296424866,
-0.02739083580... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Example: ويوجد أساسا مرجل دوار.
Output: É basicamente un caldeiro que rota.
The Arabic sentence is correctly translated into Galician, because the ... | Hai gran diferenza entre elas. | 1 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.4246406555175781,
0.36225220561027527,
0.05543532967567444,
-0.2536028325557709,
-0.022444002330303192,
0.26656374335289,
0.6387050151824951,
0.01933710277080536,
-0.28273463249206543,
-0.00708202738314867,
-0.48746371269226074,
-0.10414369404315948,
-0.8049901723861694,
0.2392562925815... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Problem:Así que para ilustrar esta cuestión tomaremos dos países.
Solution: | כדי להמחיש שאלה זו, אציג שתי מדינות. | 8 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
0.09448689222335815,
0.9779185056686401,
0.2320285439491272,
-0.5026296377182007,
-0.19155728816986084,
0.32446911931037903,
0.9717090129852295,
0.7427417635917664,
0.3914034366607666,
-0.4853029251098633,
-0.6277397274971008,
0.13781768083572388,
-0.33985069394111633,
-0.00701826112344861... |
In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
Model Railroader (MR) is an American magazine about the hobby of model railroading. Foun... | Married to the Mob is a soundtrack album for the 1988 film Married to the Mob.
| 0 | NIv2 | task192_hotpotqa_sentence_generation | fs_opt | [
0.33900147676467896,
0.33442389965057373,
-0.8277485370635986,
0.3025106191635132,
-0.02449793368577957,
-0.05669723078608513,
0.6266282200813293,
0.14541301131248474,
0.019047269597649574,
0.4943193793296814,
-0.5430854558944702,
0.5721051692962646,
-0.9922082424163818,
-0.149540528655052... |
Definition: In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from the passage... | Quantes històries transcorren simultàniament a The Phantom Menace? | 2 | NIv2 | task836_viquiquad_question_generation | zs_opt | [
1.1245436668395996,
0.05561275780200958,
-0.1409989893436432,
-0.3722763955593109,
-0.25490400195121765,
-0.013874933123588562,
1.0682506561279297,
0.5509551167488098,
-0.13096792995929718,
-0.12694509327411652,
-0.4774356484413147,
-0.07159966975450516,
-0.9378814697265625,
0.144404888153... |
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
See one example below:
Problem: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution: positive
Explan... | positive | 4 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.2398492097854614,
0.02824568748474121,
0.19706259667873383,
0.10394108295440674,
0.6281110048294067,
-0.8726407289505005,
-0.0827057957649231,
0.5248222947120667,
0.3364182710647583,
0.6006640195846558,
-0.2126726657152176,
-0.5441722869873047,
-0.4293120503425598,
-0.5658199787139893,
... |
Teacher: In this task, you are given music product reviews in English 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.
Teacher: Now, understand the problem? If you are still confused, see the followin... | NEG | 2 | NIv2 | task478_cls_english_music_classification | fs_opt | [
-0.0264150220900774,
0.28927236795425415,
-0.14271792769432068,
0.03031352534890175,
0.6391350030899048,
-1.312733769416809,
0.8119480609893799,
0.11071989685297012,
0.083436518907547,
0.8977590799331665,
-0.16959604620933533,
0.09978432953357697,
0.31381773948669434,
-0.5855796933174133,
... |
Detailed Instructions: In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Q: Mix sugar, water, corn syrup and salt together in a heavy saucepan.,______,Remove from heat.,Beat egg whites until they hold stiff... | Cook rapidly to 238° or soft ball stage. | 9 | NIv2 | task572_recipe_nlg_text_generation | zs_opt | [
0.16034704446792603,
0.8550643920898438,
0.06920848786830902,
-0.8965117335319519,
0.44064754247665405,
0.009929915890097618,
-0.5065678358078003,
1.0530445575714111,
-1.0460984706878662,
-0.19379007816314697,
1.0080983638763428,
0.07145840674638748,
-0.5507878065109253,
-0.038751535117626... |
Q: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea... | unrelated | 7 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.5313095450401306,
0.2020212709903717,
0.19306088984012604,
0.11731591820716858,
0.004927521105855703,
-0.44309473037719727,
0.674439549446106,
0.8366215229034424,
0.4886265993118286,
-0.3384561538696289,
-0.3221469521522522,
-0.3380340337753296,
-0.8273628950119019,
-0.304879754781723,
... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Q: Before I start of I w... | unfollowing my close friends Instagram for being too self-absorbed and fake
****
| 4 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.6450186371803284,
0.07023175060749054,
-0.4079589247703552,
-0.5098896026611328,
0.17604145407676697,
-0.3450923264026642,
0.592125415802002,
0.5313670635223389,
-0.06891153752803802,
0.2112162709236145,
0.2514026165008545,
0.954911470413208,
-0.6210023164749146,
-0.5650217533111572,
-... |
Teacher:In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a farmer looks over his herd as they graze the side of a hill'. How many words start with the letter 'o' in... | 2 | 6 | NIv2 | task162_count_words_starting_with_letter | zs_opt | [
-0.41268259286880493,
0.9327282905578613,
-0.36062872409820557,
-0.5106613636016846,
-0.3186115026473999,
-0.7772380709648132,
0.039842668920755386,
0.97337806224823,
0.16243308782577515,
-0.5773487687110901,
-1.2188016176223755,
-0.8460297584533691,
-0.3691411018371582,
-0.403522670269012... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Problem:خامساً: إذا كنت لا تعرف ، قل أنك لا تعرف.
Solution: | Número cinco: Se non saben, digan que non saben. | 8 | NIv2 | task1105_ted_translation_ar_gl | zs_opt | [
0.5323212146759033,
0.5765652656555176,
0.32322415709495544,
-0.2236848920583725,
-0.6298540830612183,
-0.5562305450439453,
0.5365256667137146,
0.8422788977622986,
-0.24740293622016907,
-0.5015642046928406,
-0.5469366312026978,
-0.6632283926010132,
-1.2416110038757324,
0.7970978021621704,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
[Q]: O que quere facer é darlle á volta ó pingüín para poder comer a carne dos ósos, despois déixao e colle outro.
[A]: Está tratando de obtener el revés del pingüino para separar la carne de los huesos y luego se va y c... | Creemos que la mejor manera de conseguir estos años perdidos es observar las culturas alrededor del mundo que los están viviendo, zonas donde la gente vive hasta los 100 años en una proporción 10 veces más grande que la nuestra, las zonas donde la esperanza de vida es de doce años más, la tasa de mortalidad a mediana e... | 5 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-1.2482746839523315,
0.8458523750305176,
-0.1031092032790184,
-0.2304995059967041,
0.012749907560646534,
-0.9882044792175293,
0.40427136421203613,
0.6176513433456421,
-0.5537391304969788,
-0.1656379997730255,
-0.26884204149246216,
0.46459269523620605,
-0.4915468394756317,
0.790390729904174... |
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