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 |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Q: Kodak așteaptă câștiguri de la 5 cenți la 25 de cenți pe acțiune în acest trimestru.
A: | Kodak expects earnings of 5 cents to 25 cents a share in the quarter. | 9 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.6359398365020752,
0.35273855924606323,
-0.2792186439037323,
-0.3720797300338745,
0.1111629530787468,
-0.34820058941841125,
0.46619272232055664,
0.7056559920310974,
0.3854319155216217,
-0.05989212915301323,
0.3956840932369232,
-0.18487535417079926,
-0.8062824606895447,
-0.181890428066253... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Q: 2862 - 964 + 1644
A: 2182
****
Q: 6163 + 7356 + 5264 - 4766 + 9373 + 1271
... | -644
****
| 4 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.7614669799804688,
0.3029481768608093,
-0.7527632713317871,
-0.061123184859752655,
-0.40658777952194214,
0.03543449193239212,
0.9506646394729614,
1.199706792831421,
0.33489030599594116,
-0.44842299818992615,
-0.6023244857788086,
-0.13177093863487244,
-0.7871032357215881,
0.16433620452880... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
One example: A mosquito stings me
I sting a mosquito... | second | 6 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
-0.41113150119781494,
0.46445131301879883,
-0.07289798557758331,
-0.49546170234680176,
-0.20847442746162415,
-0.3558441400527954,
0.29033488035202026,
0.7024199962615967,
0.12733447551727295,
0.14653851091861725,
-0.7514208555221558,
-0.8809089660644531,
-0.6381481885910034,
-0.33878171443... |
Q: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Ocular dryness responds to the use of artificial tears applied every _ to three hours.
A: | one | 7 | NIv2 | task672_nummersense | zs_opt | [
0.45738446712493896,
1.1279772520065308,
0.20349451899528503,
-0.667554497718811,
-0.9113830327987671,
-0.008968397043645382,
0.17436575889587402,
0.49432748556137085,
0.3830336928367615,
-0.19399532675743103,
-0.15662679076194763,
-0.5181500911712646,
0.4474617540836334,
-0.06090785190463... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
what are the three greek orders of colu... | September 19, 2018
| 0 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.46774768829345703,
0.7122738361358643,
-0.0071227047592401505,
0.019038181751966476,
-0.4480212926864624,
-0.8006900548934937,
0.7597475647926331,
-0.09376376122236252,
0.051805026829242706,
0.4669904112815857,
-0.4670755863189697,
-0.17850267887115479,
-0.4726184010505676,
-0.515910983... |
Teacher:Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Teacher: Now, understand the problem? Solve this instance: It worked well for a few weeks, but then the battery of my iBook G4 stopped being re-charged.
Student: | Negative | 6 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.09600428491830826,
-0.2549252212047577,
0.7010610103607178,
-1.100759744644165,
0.6184302568435669,
-0.8008425831794739,
0.558508038520813,
0.432586133480072,
0.0858587920665741,
0.5853790044784546,
-0.47434163093566895,
-0.7972531318664551,
-0.5634636878967285,
-0.5644124150276184,
0... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence 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 th... | Хората могат да съставят без да използват думи. | 0 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
-0.18873083591461182,
0.13280221819877625,
-0.3489145040512085,
-0.5602154731750488,
0.2635986804962158,
-0.7045527696609497,
1.4170591831207275,
0.7584211826324463,
0.8943122625350952,
-0.1771138310432434,
-0.1580224633216858,
0.5457762479782104,
-0.2308751791715622,
0.1469150185585022,
... |
A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
મંત્રીમંડળે બંધારણનાં 5માં પરિશિષ્ટ હેઠળ રાજસ્થાનના સંદર્ભમાં જાહેર કરાયેલાં અનુસૂચિત ક્ષેત્રોને મંજૂરી આપી
ഭരണഘടനയുടെ അഞ്ചാം പട്ടികയ്ക്ക് കീഴില് ര... | രാജ്യത്തങ്ങോളമിങ്ങോളമുള്ള ജനങ്ങള് ഇപ്പോള് ഈ സ്വഭാവം വികസിപ്പിക്കുന്നതിനായി പങ്കാളികളാകുന്നുണ്ടെന്നും പ്രധാനമന്ത്രി ചൂണ്ടിക്കാട്ടി.
| 0 | NIv2 | task1041_pib_translation_gujarati_malayalam | fs_opt | [
-0.29408448934555054,
0.3229336440563202,
-0.034289322793483734,
0.027724986895918846,
0.1467602550983429,
0.11023113131523132,
0.8289718627929688,
0.631191074848175,
-0.10829184204339981,
-0.05430031195282936,
-0.21357274055480957,
-0.13778746128082275,
-0.9754451513290405,
1.278998970985... |
Q: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: デルによると、ニュージーランドの630万台のコンピュータのうち25万台が古い旧式であるのは、調査によると主な理由は多くのコンピュー... | No | 7 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.50765061378479,
0.5429113507270813,
0.2730579376220703,
0.30959373712539673,
-0.41542840003967285,
-0.7567504644393921,
0.7634792327880859,
0.21677741408348083,
0.18072742223739624,
-0.2076069712638855,
-0.031013505533337593,
0.6821863055229187,
-1.0307891368865967,
0.700364351272583,
... |
Teacher: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. Yo... | No | 2 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.7672943472862244,
-0.1118771880865097,
0.3845573663711548,
-0.06408112496137619,
-0.18225662410259247,
-0.8924446702003479,
0.8654019832611084,
0.865338921546936,
-0.7689861059188843,
-0.16436490416526794,
-0.3228626251220703,
-0.3407374322414398,
-0.8765963912010193,
-0.4593173265457153... |
Detailed Instructions: 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,... | 17 | 9 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.4060656726360321,
1.1909353733062744,
0.010386238805949688,
-0.8527575731277466,
-0.010820183902978897,
-0.1444620043039322,
1.6841233968734741,
-0.2503231167793274,
0.3388516902923584,
-0.6631307601928711,
0.07553429901599884,
0.08237609267234802,
-1.0122044086456299,
-0.641175150871276... |
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow... | Negative
| 6 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
0.15038543939590454,
0.414966881275177,
0.2388736605644226,
0.01995713636279106,
-0.17010347545146942,
-0.2830924987792969,
0.7659310102462769,
0.45978760719299316,
0.4166424870491028,
-0.03589741885662079,
-0.36757832765579224,
0.4990841746330261,
-0.6023910045623779,
-0.16360506415367126... |
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 to determ... | Yes
| 0 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
0.21211427450180054,
0.1808486133813858,
0.5125182867050171,
-0.2205324023962021,
-0.4686102271080017,
-0.8849304914474487,
1.3350281715393066,
0.2989303469657898,
-0.452442467212677,
-0.4781051278114319,
-0.6141076683998108,
-0.4550219178199768,
-0.8695298433303833,
0.2776392698287964,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda c... | Madaxweyne Xasan oo waraaqaha aqoonsiga ka guddoomay danjiraha China | 0 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
-0.2960171699523926,
0.8576290607452393,
-0.23109926283359528,
-0.6424139738082886,
0.22773543000221252,
-0.5872370004653931,
-0.15115612745285034,
-0.11455900967121124,
0.8638277053833008,
-0.1230020746588707,
0.050305381417274475,
1.181140422821045,
-0.9116914868354797,
0.140040189027786... |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Input: Consider Input: name[xname], cuisine[Indian], price[cheap], location[riverside], familyFriendly[yes], near[xnear]
Output: The xname in the... | Output: xname is a cheap, French pub that scored a customer rating of 5 out of 5.
| 2 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.028415530920028687,
0.34844881296157837,
-0.6048352718353271,
-0.10544385761022568,
-0.3576781451702118,
-0.027945203706622124,
0.493865430355072,
0.9358716607093811,
-0.09316462278366089,
-0.4302976429462433,
0.7190027236938477,
-0.13218334317207336,
-0.5254685878753662,
-0.49649804830... |
Given the task definition and input, reply with output. Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracket... | Which is the musical album that includes [Vasco Live Kom '011] as a supporting tour? | 5 | NIv2 | task402_grailqa_paraphrase_generation | zs_opt | [
0.5597226619720459,
0.4277307987213135,
-0.09362728893756866,
0.5333537459373474,
0.24294255673885345,
-0.06494377553462982,
0.8211102485656738,
0.4123627543449402,
-0.2764434218406677,
-0.1071162298321724,
-0.26504960656166077,
0.14554914832115173,
-0.6425706148147583,
-0.1345971673727035... |
Q: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based... | Changed | 7 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.0935698747634888,
1.0600197315216064,
0.1254694163799286,
-0.24709655344486237,
-0.6250316500663757,
-0.6859678030014038,
0.3917175531387329,
0.6888877153396606,
0.14199987053871155,
-0.5103291273117065,
-0.7253326177597046,
-0.27322453260421753,
-0.9867520928382874,
0.16913828253746033... |
Instructions: Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Input: Párrafo: Después se encontró un trozo de papel en el que Lutero había escrito su última decla... | su última declaración | 3 | NIv2 | task1610_xquad_es_answer_generation | zs_opt | [
0.3105964660644531,
0.6600049734115601,
-0.14648884534835815,
-0.35080718994140625,
-0.768100380897522,
-1.0643099546432495,
0.3471986949443817,
0.36123329401016235,
-0.34563255310058594,
-0.5416426658630371,
0.09306654334068298,
0.4996766149997711,
-0.6487076282501221,
-0.3170112371444702... |
Detailed Instructions: In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Problem:Those who break Allah's Covenant after it is ratified, and who sunder what Allah Has ordered to be joined, and do mischief on earth: These cause loss (only) to themselves.
Solu... | آنان کسانی هستند که پیمان خدا را [که توحید و وحی و نبوت است] پس از استواری اش [با دلایل عقلی و علمی و براهین منطقی با عدم وفای به آن] میشکنند و آنچه را خدا پیوند خوردن به آن را فرمان داده است [مانند پیوند با پیامبران و کتابهای آسمانی و اهل بیت طاهرین و خویشان] قطع مینمایند و در زمین تباهی و فساد بر پا میکنند، آنانند... | 8 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.1389649212360382,
1.4231150150299072,
-0.7061957716941833,
-0.4907223582267761,
-0.7175284624099731,
-0.5946651697158813,
0.8385093212127686,
-0.07558007538318634,
-0.3947666585445404,
0.22037771344184875,
-0.6496990919113159,
0.4439600110054016,
-1.0517367124557495,
0.20626330375671387... |
Definition: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a... | a | 2 | NIv2 | task232_iirc_link_number_classification | zs_opt | [
0.6574978828430176,
-0.7560949325561523,
-0.21645112335681915,
-0.16637244820594788,
0.1570551097393036,
-0.27432650327682495,
0.732848048210144,
0.39848625659942627,
0.08106423169374466,
0.033784665167331696,
0.3364028334617615,
-0.04309690743684769,
-0.19663435220718384,
0.16174976527690... |
Instructions: Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur... | True | 3 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
-0.40765348076820374,
0.17080092430114746,
-0.8937920331954956,
0.4368886351585388,
-0.29073068499565125,
-0.7757059335708618,
0.12768368422985077,
0.7023242712020874,
-0.6059685945510864,
0.09748035669326782,
-0.4581688642501831,
-0.0670865923166275,
0.2114313244819641,
-0.424595832824707... |
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
Ex Input:
Hollywood has taken quite a nosedive from Alfred Hitchcock 's imaginative flight to Shyamalan 's self-imp... | POS
| 1 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-1.1069645881652832,
-0.291495680809021,
0.5333903431892395,
-0.21295130252838135,
0.17863529920578003,
-1.1446548700332642,
0.7910245656967163,
0.7164068222045898,
-0.1343201994895935,
0.5051027536392212,
-0.5808349847793579,
-0.9976140260696411,
-0.17977702617645264,
-0.7330679893493652,... |
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 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... | [-89, 14, -5] | 1 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.1756291389465332,
0.24223673343658447,
-0.4183962345123291,
0.05055288225412369,
0.5032624006271362,
-0.41870003938674927,
0.850659191608429,
0.3016522526741028,
0.07336175441741943,
0.46176066994667053,
-0.672391414642334,
-0.10115806758403778,
-0.17106617987155914,
0.06264324486255646... |
In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
[EX Q]: Is price a deal breaker?
[EX A]: Y has just told X that he/she is ... | X and Y are colleagues who are leaving work on a Friday at the same time.
| 6 | NIv2 | task567_circa_text_generation | fs_opt | [
-0.33334919810295105,
0.4294487237930298,
-0.5966829061508179,
0.371866911649704,
-0.06515908241271973,
0.25579172372817993,
0.3471768796443939,
0.8839427828788757,
0.9221432209014893,
0.06750669330358505,
-0.5923954248428345,
0.3198036849498749,
-0.4740332365036011,
0.45371609926223755,
... |
Q: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually expl... | No | 7 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-1.142861247062683,
0.2722216248512268,
0.2986223101615906,
0.15068836510181427,
0.0654289573431015,
-0.6244083046913147,
0.2768886685371399,
0.2733190655708313,
0.20476140081882477,
-0.10441267490386963,
-0.08708202093839645,
-0.273732990026474,
-0.4981200098991394,
-0.5980875492095947,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, ... | faster | 0 | NIv2 | task178_quartz_question_answering | fs_opt | [
-0.31625616550445557,
0.16714656352996826,
-0.40799039602279663,
-0.16098670661449432,
-0.13704772293567657,
-0.5444899201393127,
0.4577862322330475,
1.2824583053588867,
-0.4825960695743561,
0.4646000266075134,
-0.44278356432914734,
-0.7314447164535522,
0.028354141861200333,
0.148058220744... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in German, generate a new German 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 hi... | Die Wirkung der Reinigung Ihrer Kleidung entfernt Flecken. | 1 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.2859598994255066,
0.4042056202888489,
-0.00048134406097233295,
0.006808862090110779,
0.46773356199264526,
-0.7525169849395752,
0.34201914072036743,
1.2091604471206665,
0.13638398051261902,
0.21458669006824493,
-0.4770466983318329,
-0.06589274108409882,
-0.5533721446990967,
-0.1286692768... |
In this task, you need to count the number of words in a sentence that contain the given letter
Example: Sentence: 'two gray birds standing in a green field'. How many words contain the letter 'a' in the sentence.
Example solution: 3
Example explanation: The words 'gray', 'standing', and 'a' contain the letter 'a'. So,... | Solution: 2 | 5 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.2101481556892395,
0.6069978475570679,
-0.45889759063720703,
-0.9815489649772644,
-0.40643274784088135,
-0.5659456849098206,
0.21703775227069855,
0.5204083919525146,
0.8200729489326477,
-0.33180689811706543,
-0.9097312688827515,
0.4106318950653076,
0.6428632736206055,
-0.1410379707813263... |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
उन्होंने कहा कि मेक इन इंडिया कार्यक्रम के जरिए आज भारत, दुनिया में इलेक्ट्रानिक और ऑटोमोबाइल वि... | તેમણે ઉમેર્યુ હતુ કે, ‘મેક ઇન ઇન્ડિયા’ કાર્યક્રમે ભારતને ઇલેક્ટ્રોનિક્સ એન્ડ ઓટોમોબાઇલ મેનુફેક્ચરિંગ માટે આંતરરાષ્ટ્રીય કેન્દ્ર બનાવી દીધું છે. | 5 | NIv2 | task1034_pib_translation_hindi_gujarati | zs_opt | [
-0.2726063132286072,
0.9847397208213806,
0.3675508201122284,
-0.2469758689403534,
0.011331319808959961,
-0.41754424571990967,
0.40238508582115173,
-0.06774213165044785,
0.04756847023963928,
-0.23163412511348724,
-0.8095354437828064,
0.2259322553873062,
-0.5789625644683838,
0.35262611508369... |
instruction:
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
question:
And we can use veterans to improve disaster response.
answer:
E nós podemos usar os veteranos para melhorar a resposta aos desastres.
question:
And because we are a proud profession, it is very ha... | Ao sexto mês do processo, finalmente alcançámos a fase de descoberta.
| 9 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
-0.11269248276948929,
0.8809871673583984,
0.31081581115722656,
-0.8949202299118042,
-0.5343413352966309,
-1.0886642932891846,
0.3796918988227844,
0.9309165477752686,
0.9219671487808228,
-0.36620259284973145,
-0.6682672500610352,
0.6393997669219971,
-0.7164766788482666,
0.2417353391647339,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
البته ، من ، و همه ما تا حد زيادى مسئول همه تصمیمات خودمان هستیم.
Output: | 私もちろん我々皆はこういった人生の決断における責任をもっているのです | 1 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.0780583918094635,
0.339768648147583,
-0.158602774143219,
-0.1164509728550911,
-0.4281434118747711,
-0.48252302408218384,
0.696702241897583,
0.27876782417297363,
0.5105947256088257,
0.05380883067846298,
-0.20491668581962585,
0.5478708744049072,
-0.5289276838302612,
0.5163183808326721,
... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Sentence1: As he left court , McCartney cast one long angry glare at Amrozi , who almost hid behind his lawyer to the side ., Sentence2: As he left the court , McCartney cast a ... | Yes | 0 | NIv2 | task1288_glue_mrpc_paraphrasing | zs_opt | [
0.9124408960342407,
0.8716528415679932,
0.6169700622558594,
-0.14094331860542297,
-0.09326580166816711,
-1.3618806600570679,
0.24179327487945557,
-0.41637226939201355,
0.5581204891204834,
0.5064635276794434,
-0.2960110306739807,
0.3229338824748993,
-0.651567816734314,
0.766741931438446,
... |
Definition: 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'.
Input: Passage: The Yahya Kemal Col... | Answer: 4000 BC; | 2 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
-0.11928512156009674,
0.2920811176300049,
0.2894972264766693,
-0.8341450691223145,
0.5365194082260132,
-0.2227160632610321,
0.9281541109085083,
0.8318220376968384,
0.7964175343513489,
0.35698994994163513,
0.010718139819800854,
1.099910855293274,
-1.2695505619049072,
-0.17741918563842773,
... |
Given the task definition and input, reply with output. In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
It worked intermittently the 1st month or so. I have reset it a dozen times and now it doesnt even show up as a availible network. I have it placed in a... | Worked for a few weeks.... Need sellers contact info. | 5 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
-0.3459334373474121,
0.5400289297103882,
-0.025281080976128578,
-0.518156886100769,
0.051665887236595154,
-0.06645572930574417,
0.38691264390945435,
0.20980077981948853,
0.05613468959927559,
0.32524389028549194,
-0.3584088981151581,
0.43877941370010376,
-0.7833185195922852,
-0.117622524499... |
Definition: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" w... | yes | 2 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
0.375354528427124,
0.16953764855861664,
0.07189731299877167,
0.023138418793678284,
0.5231959819793701,
-0.5650518536567688,
0.9141991138458252,
1.182157278060913,
-0.0327899344265461,
-0.016187401488423347,
0.2319292277097702,
0.6960176229476929,
-0.5851805210113525,
0.06405697017908096,
... |
Part 1. Definition
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) da... | date | 7 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.4940052032470703,
0.6085801720619202,
-0.39958059787750244,
-0.40843117237091064,
0.528455376625061,
-0.6986439228057861,
0.970007061958313,
0.29762303829193115,
0.6288257837295532,
0.010109413415193558,
-0.6938574314117432,
0.4550856053829193,
-1.2739760875701904,
-0.12273519486188889,
... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | look right twice after walk around right twice
| 3 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.40065816044807434,
0.643312394618988,
-0.5833391547203064,
-0.036220379173755646,
-0.03951225057244301,
0.259590208530426,
0.12977460026741028,
0.6739722490310669,
-0.38548821210861206,
-0.14256232976913452,
-0.6371251344680786,
-0.17427846789360046,
-0.620017409324646,
-0.13676355779170... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
One example: ♫ עם הכוח לעמוד ♫ ♫ בחצותה את הגבול ♫ ♫ היא אמרה, "" אתם תגדלו חופשיים על האדמה הזו "" ♫ ♫ נשים של תקווה ♫ ♫ נשים של שינוי ♫ ♫ נשים של מלחמה וכאב ♫ ♫ אני יכולה להרגיש את הכוח שלכן ♫ ♫ במילים אלו היא אמרה ♫ ♫ אם את... | To proste. | 6 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-0.14808389544487,
0.5372167825698853,
0.08832669258117676,
-0.114348866045475,
-0.27904945611953735,
-1.1189565658569336,
1.8455389738082886,
0.05423771217465401,
0.5051626563072205,
-0.30196163058280945,
-1.06300687789917,
0.6617327928543091,
-1.116949439048767,
0.18116389214992523,
0.... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Let me give you an example: Person1: Passport , please , madam .
Person2: Just a minute , please . It's in my bag . H... | 0 | 8 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.6729140281677246,
0.4857015907764435,
-0.4208714962005615,
0.11661951243877411,
0.18861807882785797,
-0.3395856022834778,
0.6282413005828857,
0.6312994360923767,
-0.5912611484527588,
-0.2347545623779297,
-0.2963586449623108,
-0.5134037137031555,
-0.8227221369743347,
0.03608819469809532,
... |
TASK DEFINITION: Translate the given Spanish text to English
PROBLEM: A portable excrement bag comprises a bag body (10).
SOLUTION: Una bolsa para excremento portátil comprende un cuerpo de bolsa (10).
PROBLEM: A laminate and a method for forming the laminate.
SOLUTION: Un laminado y un método para formar el laminad... | Se proporciona un metodo y aparato para nivelar a alta velocidad un camino en una sola pasada.
| 8 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
0.25384923815727234,
0.1380579024553299,
-0.4405979514122009,
-0.049560241401195526,
-0.13767173886299133,
-0.0380721241235733,
0.3531841039657593,
0.7357617020606995,
-0.49339795112609863,
0.3154997229576111,
-0.19838052988052368,
-0.09028276801109314,
-0.23058976233005524,
-0.15651485323... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Solution: ... | E in alto a sinistra, un progetto pionieristico di 14 anni fa di General Motors — 35 km al litro senza usare un'ibrido, in una quattro posti. | 0 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.7959104776382446,
0.5957785844802856,
0.5018487572669983,
-0.394397497177124,
-0.13991841673851013,
-0.5962541103363037,
0.14693278074264526,
0.927872359752655,
0.5593006014823914,
-0.262849360704422,
-0.16618672013282776,
0.6382670402526855,
-0.0015284359687939286,
-0.04721178486943245... |
Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Input: big dipper
Output: | The seven brightest stars of which constellation form the asterism known as the Big Dipper in the United States and Canada, or the Plough in the United Kingdom and Ireland? | 2 | NIv2 | task897_freebase_qa_topic_question_generation | zs_opt | [
-0.42788422107696533,
-0.3039979934692383,
-0.8848322629928589,
0.49809426069259644,
-0.5544376373291016,
0.64112788438797,
0.217693030834198,
0.07868555188179016,
0.27079081535339355,
-0.29979294538497925,
-1.04069983959198,
-0.31764984130859375,
-0.5730663537979126,
-0.013230117037892342... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | holding that review of an original removal decision and a subsequent removal order are distinct | 4 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
-0.48672351241111755,
0.6172457337379456,
-0.12432042509317398,
0.1486525535583496,
-0.23473116755485535,
-0.18452826142311096,
0.16670745611190796,
1.2497787475585938,
-0.4431132674217224,
-0.20681193470954895,
-0.7359034419059753,
0.5173382759094238,
-0.4694642424583435,
0.38023376464843... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
--------
Question: Sentence1: 'a woman holding an owl on her arm', Sentence2: 'the polar bear is laying on the snow'. Is the frequency of the word 'is' in two sentences equal?
Answer: No
Question: Sentence1... | No
| 7 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.7010326981544495,
0.5863183736801147,
-0.6171889305114746,
0.14526709914207458,
0.02065465785562992,
-0.36741453409194946,
0.8959869146347046,
0.5288927555084229,
0.14078259468078613,
-0.23174947500228882,
-0.5278529524803162,
-0.4189937114715576,
0.3887099325656891,
0.3209489583969116,... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Example Input: The film opens to the sound of a gramophone playing Axxon N, "the longest-running radio play in histor... | Answer: Dylan Gould
| 3 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.016942134127020836,
0.49665623903274536,
-0.9538645148277283,
0.4875822961330414,
0.4198203682899475,
0.8147936463356018,
0.7181522846221924,
1.1024538278579712,
0.08020713925361633,
0.39323899149894714,
-0.07231460511684418,
0.4102780222892761,
-0.41974878311157227,
0.36816608905792236,... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Comment: I guess we supposed t... | Threat | 2 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.5535542368888855,
0.5817527770996094,
0.6249549388885498,
0.3168083727359772,
-0.18262192606925964,
-0.3134114146232605,
1.076290249824524,
0.4841212034225464,
0.17592918872833252,
-0.13720907270908356,
-0.25545066595077515,
0.2526583671569824,
-0.7898266315460205,
-0.33490705490112305,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Example: ولكن ماهي حقوق الإنسان ؟
Example solution: Mas o que são direitos humanos?
Example explanation: The Arabic sentence is correctly translated into Portugese, because the meaning is preserved.
Problem: أعني ، هذا كان... | Solution: Cópias de segurança de 16 milímetros. | 5 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
0.04804961383342743,
0.5169069170951843,
-0.02506658434867859,
-0.37231048941612244,
-0.850670576095581,
-0.014276772737503052,
0.8618433475494385,
0.6921525001525879,
0.23784828186035156,
-0.495580792427063,
-0.7844915390014648,
-0.30278658866882324,
-1.1390780210494995,
0.196615517139434... |
Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Problem:Help, help!
Solution: | کمک، کمک! | 8 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
-0.19324907660484314,
1.1676682233810425,
-0.608132004737854,
-0.5199236869812012,
-0.13913553953170776,
-0.3022492229938507,
1.0340278148651123,
0.6449645757675171,
0.5297883749008179,
-0.05123361200094223,
-0.5826157331466675,
0.0011969569604843855,
-0.4552057981491089,
0.036341112107038... |
Q: 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.
Sentence: 'a woman holding a video game controller playing a game'. How many words end with the letter 'n' in the sentence.
A: | 1 | 7 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
0.08264541625976562,
0.12201690673828125,
-0.4255809783935547,
-0.346887469291687,
-0.6811579465866089,
-0.6356284618377686,
0.1961658000946045,
0.43491852283477783,
0.2286737859249115,
-0.3732539713382721,
-0.05235918611288071,
-0.17443428933620453,
-0.4255515933036804,
-0.130277141928672... |
Given the task definition, example input & output, solve the new input case.
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: ... | ¿Dónde está asociado Jusef Wanandi? | 1 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.6150215268135071,
0.129696786403656,
-0.6452644467353821,
-0.000850879936479032,
0.0631888210773468,
0.30052268505096436,
0.8618130087852478,
1.0265700817108154,
0.15827494859695435,
0.19158875942230225,
-0.4758151173591614,
0.37792444229125977,
-0.5822640061378479,
0.12096039950847626,
... |
Q: Given a sentence in Korean, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
갈리 시아 (Galicia) 출신의 아미쉬 메노나이트 (Amish Mennonites)는 1815 년 Dubno 근처에 정착했다.
A: | Amish Mennonites from Galicia with Swiss descent settled in 1815 near Dubno . | 7 | NIv2 | task783_pawsx_korean_english_translation | zs_opt | [
-0.061897456645965576,
0.4678434133529663,
-0.2537790536880493,
-0.6143724322319031,
-0.7497944831848145,
-1.1373813152313232,
0.38499578833580017,
-0.6511961221694946,
0.37222039699554443,
-0.2922712564468384,
-0.12578043341636658,
0.7984382510185242,
-1.2058448791503906,
0.33691456913948... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: इसकी दुरूहता को देखते हे 1981 के द्वारका खोज उपक्रम को... | The exploration of Dwarka in 1981 looks like child 's play compared to this operations . | 2 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
-0.11844059079885483,
0.07419903576374054,
0.13986940681934357,
-0.30313292145729065,
0.14714518189430237,
0.04484136775135994,
0.4962870478630066,
0.5273623466491699,
0.08530221879482269,
-0.22975483536720276,
-0.657217800617218,
0.11958571523427963,
-0.609063982963562,
0.1852923035621643... |
In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
[Q]: Are you taking any work home to do over the weekend?
[A]: X and Y are... | X wants to know what sorts of books Y likes to read.
| 5 | NIv2 | task567_circa_text_generation | fs_opt | [
-0.590165376663208,
1.060975193977356,
-0.4842405319213867,
0.004669758025556803,
-0.09374895691871643,
-0.19190922379493713,
0.20443329215049744,
0.3463219106197357,
0.8081656694412231,
-0.253161758184433,
-0.9993150234222412,
0.35820668935775757,
-0.22327429056167603,
0.682414710521698,
... |
Q: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Sentence: 'a park... | Yes | 7 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.49887895584106445,
0.49958616495132446,
-0.06948342174291611,
0.2564341425895691,
-0.3922470510005951,
-0.7162497639656067,
0.4245299696922302,
0.423296719789505,
0.4474714994430542,
-0.4506821632385254,
-0.31451016664505005,
0.27979397773742676,
0.22856934368610382,
0.3956310451030731,... |
Instructions: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Input: Tweet: @anonymized_account Dzień dobry! Miłego dnia Ci życzę x , Question: Is the tweet free of any cyberbullying (harmful) content?
Output: | Yes | 3 | NIv2 | task839_cdt_classification | zs_opt | [
-1.477236032485962,
1.0511609315872192,
0.3469947874546051,
0.7759236097335815,
-0.642443060874939,
-0.8281486630439758,
0.9740239381790161,
-0.4343615770339966,
0.11681147664785385,
-0.005024834536015987,
-0.21608509123325348,
0.1175200417637825,
-0.3805428445339203,
-0.2956070899963379,
... |
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".
Input: Consider Input: Article: taiwan shares tumbled #.## percent thursday even though the government unveiled a #.#-billion-us-d... | Output: no
| 2 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.16782936453819275,
0.28838828206062317,
-0.6292829513549805,
0.8112738132476807,
-0.1679387390613556,
0.19981259107589722,
0.8187844753265381,
0.9263166189193726,
-0.1066989153623581,
0.4946794807910919,
-0.5939350128173828,
0.15867716073989868,
-0.34427759051322937,
0.353225976228714,
... |
Given the task definition and input, reply with output. Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
ຢັງ ທຣິກ ຍັງໄດ້ເອົາປະໂຫຍກທີ່ວ່າ "ຜູ້ທີ່ວິຈານ[ກ່ຽວກັບພາລິນ]ລວມທັງປະທານສາຂາພັກຣິພັບບີກັນປະຈຳລັດ ... | YoungTriggはまた「[ペイリンの]批評家には、州の共和党の議長、彼女の仲間の石油＆ガス委員の1人であるランディー・ルーイドリッチを含む」とあった文を削除した。 | 5 | NIv2 | task1125_alt_lo_ja_translation | zs_opt | [
-1.2429137229919434,
0.5002355575561523,
-0.3301202654838562,
0.20545323193073273,
-0.4374147653579712,
-0.46348950266838074,
1.2679229974746704,
-0.1866455078125,
0.02277682162821293,
-0.14163796603679657,
-0.6017918586730957,
0.587276816368103,
-0.5286802053451538,
0.49556997418403625,
... |
Definition: In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inv... | Inversion | 2 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.20146101713180542,
0.7466683983802795,
0.47834330797195435,
-0.05969908460974693,
0.21977616846561432,
-0.06343390047550201,
0.21022234857082367,
0.6259477734565735,
0.1973111480474472,
-0.13542413711547852,
-0.82377690076828,
-0.5108170509338379,
-0.522013783454895,
-0.2913818061351776... |
Two analogies that relate actions to the tools used to perform the action is given in the form "A : B. C : ?". "A : B" relates action A to tool B. Your task is to replace the question mark (?) with the appropriate tool for the given action C, following the "A : B" relation.
One example: eat : fork. cook : ?
Solution is... | cloth | 6 | NIv2 | task1156_bard_analogical_reasoning_tools | fs_opt | [
-0.27670755982398987,
1.0961928367614746,
-0.7631509304046631,
0.09391170740127563,
-0.4950237274169922,
-0.03998231142759323,
1.0143183469772339,
0.6350506544113159,
-0.0015680387150496244,
-0.07771602272987366,
-0.00016380712622776628,
0.11572931706905365,
-0.19929620623588562,
-0.106341... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
[Q]: 不確かな運命宙ぶらりんな状態で生きていくことはとても困難です
[A]: È molto difficile vivere con un destino incerto, in un limbo.
[Q]: これを付けていないとき彼は完全に車いす生活をしています
[A]: Altrimenti è completamente dipendente dalla sedia a rotelle.
[Q]: 究極的には謎の箱と... | perché alla fine, lo sapete che noi tutti siamo scatole dei misteri. E anche quello é un aspetto.
| 5 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
0.33376026153564453,
0.7556942701339722,
0.4392632246017456,
-0.13076253235340118,
-0.45119065046310425,
-0.7820168733596802,
0.5789412260055542,
0.197109192609787,
-0.4059237241744995,
-0.7699580192565918,
-0.6859318614006042,
0.7579951286315918,
-0.44555264711380005,
0.3256561756134033,
... |
Detailed Instructions: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expr... | Neutral | 9 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.6444308161735535,
-0.11576579511165619,
0.7846269607543945,
-0.0997837632894516,
-0.0026359395124018192,
-1.3005764484405518,
0.655827522277832,
-0.09863200038671494,
0.48879536986351013,
0.14322076737880707,
-0.04273633658885956,
-0.09743354469537735,
-0.11069849878549576,
-0.545493006... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
He ate a house
He ate fried chicken | first | 0 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
0.01582162082195282,
1.0165069103240967,
0.13042420148849487,
-0.40495872497558594,
-0.20056195557117462,
-0.22882050275802612,
0.692870557308197,
0.21968188881874084,
-0.3584960997104645,
0.07864746451377869,
-0.6525692939758301,
-0.7924780249595642,
-1.3189735412597656,
-0.02309356257319... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Output: Je bent opmerkelijk om een cello te vinden in het huis van een muzikant.
| 2 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.3761751055717468,
0.8953661918640137,
-0.6296241283416748,
-0.08366616070270538,
0.2787100374698639,
-0.26572930812835693,
0.19443273544311523,
0.7167252898216248,
0.3826652765274048,
-0.5604510307312012,
-0.4621272087097168,
0.6190743446350098,
-0.8150669932365417,
-0.086387999355793,
... |
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: نئی دہلی،13۔اپریل ۔ صدر جمہوریہ جناب پرنب مکھرجی نے راشٹرپتی بھون میں منعقد ایک تقریبِ تقسیم اعزازات میں پدم وبھوشن ، پدم بھوشن اور پدم شری ایوار... | Solution: નીતિ આયોગની યોજનાઓ અને સમર્થનથી નવા ભારતના નિર્માણની પ્રક્રિયા શરૂ કરવામાં આવી. | 5 | NIv2 | task1002_pib_translation_urdu_gujarati | fs_opt | [
-0.26369455456733704,
0.4859476685523987,
-0.04846205934882164,
-0.5626518726348877,
-0.576762318611145,
-0.37953779101371765,
0.09998112916946411,
0.1504596322774887,
0.035480935126543045,
-0.45235615968704224,
-0.8579279184341431,
0.6825681924819946,
-0.3116318881511688,
0.39260789752006... |
Detailed Instructions: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: the ratio of investments of two partners p and q is 7 : 5 and the ratio of their profits is 7 : 10... | e | 9 | NIv2 | task1419_mathqa_gain | zs_opt | [
0.0024176128208637238,
1.3667471408843994,
-0.3042829632759094,
-0.23537567257881165,
-0.9147412776947021,
0.0942758247256279,
1.0963873863220215,
0.7261334657669067,
0.20594093203544617,
-0.26871830224990845,
-0.5313908457756042,
0.3476678133010864,
-0.5894173979759216,
-0.302019923925399... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | ¿Quién tiene claro que vencerá al Barça?
| 3 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.6735460758209229,
0.6287981271743774,
-0.862818717956543,
-0.03823169320821762,
0.4735475182533264,
-0.3970799446105957,
0.7009093761444092,
1.097327709197998,
0.0493057444691658,
-0.5346813797950745,
-0.15964898467063904,
0.42326268553733826,
-1.0415117740631104,
0.21129955351352692,
... |
Teacher:In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Teacher: Now, understand the problem? Solve this instance: Shooting a documentary about a long-lost Indian tri... | Answer: Stoltz | 6 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.49744558334350586,
0.15322279930114746,
-0.5900114178657532,
-0.13632667064666748,
-0.38490602374076843,
-0.4467605948448181,
0.6166682243347168,
0.29385673999786377,
-0.2774354815483093,
0.2025286704301834,
0.12966276705265045,
0.07300025224685669,
-0.600967288017273,
-0.080088973045349... |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 2 | 4 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
-0.009130769409239292,
1.1300513744354248,
0.24664300680160522,
-0.07935214787721634,
0.028712265193462372,
-0.8750220537185669,
0.36796462535858154,
0.2196599841117859,
-0.19346323609352112,
-0.1319599449634552,
-0.17622224986553192,
0.4102797210216522,
-0.9597504734992981,
0.429300606250... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Input: Consider Input: Todo comenzó cuando Jonny era pequeño, y empezó a tocar el banjo, tocaba acostado con los ojos cerrados, Y decíamos que parecía que estaba durmiendo.
Output: Kiedy Jonny był mały i zaczynał grać na b... | Output: (Śmiech) Posiadanie telefonu w moim kraju było wielkim luksusem.
| 2 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
0.14481507241725922,
1.7474730014801025,
-0.9968225359916687,
-0.19493719935417175,
-0.3639342188835144,
0.3413459062576294,
0.7158833742141724,
0.6298086643218994,
0.40939557552337646,
0.043946780264377594,
0.17172357439994812,
0.8857702016830444,
-0.8817275762557983,
-0.6488457322120667,... |
Instructions: Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Input: Problem: if 5 x = 3 y and xy ≠ 0, what is the ratio of... | c | 3 | NIv2 | task1678_mathqa_answer_selection | zs_opt | [
0.4770045578479767,
0.4702853560447693,
-0.016422584652900696,
-0.24708600342273712,
-0.013876298442482948,
-0.1890505850315094,
1.102213978767395,
0.9837453365325928,
0.1513572335243225,
-0.06939393281936646,
-0.5159814953804016,
-0.14420142769813538,
-0.10808078944683075,
-0.525197684764... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relev... | Lisa then realized it was her brother. | 1 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.2769293189048767,
0.9606585502624512,
0.5553324818611145,
-0.15888121724128723,
0.009666753932833672,
0.264870822429657,
0.8109820485115051,
0.664090633392334,
-0.07734518498182297,
0.18715514242649078,
-0.16345013678073883,
-0.5417838096618652,
-0.26917675137519836,
0.10789324343204498... |
In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
One example: what latitude is tropic of cancer, Answer: It currently (Year 2013) lies at 23° 26′ 15.143′′ north of the Equator.
Solution is here: Yes
Explanation: This is a good ... | Yes | 6 | NIv2 | task1294_wiki_qa_answer_verification | fs_opt | [
0.06344808638095856,
-0.03945975378155708,
-0.13329815864562988,
0.12094582617282867,
-0.43407130241394043,
-0.1430816501379013,
0.8811365962028503,
0.47250211238861084,
0.4918253421783447,
0.3494415879249573,
0.30846309661865234,
0.5014824271202087,
-1.0837970972061157,
0.0092403721064329... |
Q: You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
Context : ... | The production company responsible for MBC Newsdesk is what? | 7 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
0.5007765293121338,
0.4960823655128479,
-0.3521617352962494,
-0.12966713309288025,
-0.2981637120246887,
0.5857940316200256,
0.3123999834060669,
0.48298096656799316,
0.6854525208473206,
-0.6859959363937378,
-0.6089133024215698,
-0.21473759412765503,
-0.8693861961364746,
0.8098640441894531,
... |
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example input: કિલોમીટર લાંબો કલ્યાણથી તલોજા મેટ્રો – 12 કોરીડોર
Example output: ਕਿਲੋਮੀਟਰ ਲੰਬਾ ਵੈਲਫੇਅਰ ਟਾਲੋਜਾ ਮੈਟਰੋ - 12 ਕੋਰਡੋਰ
Example explanation: C... | ਦੂਰਸੰਚਾਰ ਨੈੱਟਵਰਕ ਨੂੰ ਮਜ਼ਬੂਤ ਬਣਾਉਣ ਨਾਲ ਮੇਘਾਲਿਆ ਵਿੱਚ ਮੋਬਾਈਲ ਸੰਪਰਕ ਦੀ ਪੈਂਠ ਵਧੇਗੀ। ਸਿੱਟੇ ਵਜੋਂ ਲੋਕਾਂ ਦੀ ਸੰਚਾਰ, ਸੂਚਨਾ ਅਤੇ ਸੰਚਾਲਨ ਪ੍ਰਣਾਲੀ ਤੱਕ ਸਸਤੀ ਅਤੇ ਅਸਾਨ ਪਹੁੰਚ ਹਵੇਗੀ। | 3 | NIv2 | task1043_pib_translation_gujarati_punjabi | fs_opt | [
-0.49223124980926514,
0.7283783555030823,
-0.4908255934715271,
-0.21173594892024994,
-0.4401797652244568,
-0.3150937855243683,
-0.004945362918078899,
-0.4572300910949707,
-0.2979978919029236,
-0.17500469088554382,
-0.6817572116851807,
-0.06151621788740158,
-0.4069857895374298,
-0.079089194... |
Given the task definition, example input & output, solve the new input case.
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Example: Question1: How do I get into my Instagram if I forgot my email and my Facebook password?, Questi... | No | 1 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.08816877007484436,
0.5277109146118164,
-0.1831202507019043,
-0.011347344145178795,
0.1987694352865219,
-0.2730793356895447,
1.18288254737854,
0.5750294923782349,
-0.11078718304634094,
0.04085221886634827,
0.0990581214427948,
-0.6862239241600037,
-0.1389707624912262,
-0.32170844078063965... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Example Input: Tariff policy was out of the purview of the I... | Hindi
| 3 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
-0.1880352795124054,
0.33201920986175537,
0.6745467185974121,
0.19576415419578552,
0.11114229261875153,
-0.28131455183029175,
0.1426917463541031,
0.6816444993019104,
0.1919841170310974,
-0.18013325333595276,
-0.2934505045413971,
-0.09175597131252289,
0.2206532061100006,
-0.1352209448814392... |
The task is reading a paragraph containing numbers as digits. The digits can be used to represent Quantity, Dates and Time, Addresses or Positions. Convert the digits into their text equivalents. If a number has a prefix, postfix or punctuation preserve it in the text equivalent. 100000 is translated as hundred thousan... | It was stated in evidence before the Commission on Capital Punishment in eighteen sixty four,
| 7 | NIv2 | task1703_ljspeech_textmodification | fs_opt | [
0.19078712165355682,
0.6100947260856628,
0.1988188773393631,
-0.04031643271446228,
0.0854654312133789,
-1.0433933734893799,
1.164766550064087,
0.6843847036361694,
0.58204585313797,
0.23260046541690826,
-0.4069550633430481,
0.470956027507782,
-0.45510807633399963,
0.001057301415130496,
-0... |
Detailed Instructions: Given a sentence in Russian, generate a new Russian 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 reasona... | Эффективность его роста возрастает по размеру. | 8 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
0.07695813477039337,
1.0958902835845947,
0.23247334361076355,
-0.8516385555267334,
-0.7647237777709961,
0.16017046570777893,
0.874848484992981,
1.29083251953125,
0.14082267880439758,
-0.8264971375465393,
-1.448302149772644,
0.21131199598312378,
-0.8164951801300049,
0.18468061089515686,
-... |
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 sentences from the story to... | Blood runs out of the girls nose >Causes/Enables> I put on gloves | 6 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.09633248299360275,
0.8169933557510376,
0.3241841197013855,
-0.08119551837444305,
-0.4496469497680664,
-1.118630290031433,
-0.1850937306880951,
0.9626368284225464,
-0.5819275379180908,
0.1428980529308319,
-0.4808794856071472,
-0.22982783615589142,
-0.22278374433517456,
-0.7673940658569336... |
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 | task1214_atomic_classification_xwant | zs_opt | [
-0.022349320352077484,
0.433846116065979,
0.3979707956314087,
-0.6082382202148438,
-0.610560953617096,
-0.6188816428184509,
1.2794837951660156,
-0.09237471222877502,
-0.5783966779708862,
-0.7888307571411133,
-0.29461783170700073,
-0.682280957698822,
-0.7039481401443481,
0.46246159076690674... |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: English: Piedmont... | Yes | 6 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.08092260360717773,
-0.09350918978452682,
0.11755616962909698,
-0.24593386054039001,
0.23890982568264008,
-0.46725887060165405,
-0.10413669049739838,
0.11607949435710907,
-0.32359182834625244,
-0.008873792365193367,
-0.5114965438842773,
0.10481731593608856,
-0.2534794807434082,
-0.164433... |
You will be given a definition of a task first, then some input of the task.
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acc... | unacceptable | 1 | NIv2 | task616_cola_classification | zs_opt | [
-0.21642771363258362,
0.21253764629364014,
0.40797775983810425,
-0.1589559018611908,
0.20462007820606232,
-0.679580569267273,
0.17379122972488403,
0.3940025866031647,
0.5416411757469177,
0.4386564791202545,
-0.8683108687400818,
-0.7007491588592529,
0.0307569969445467,
-0.2963516414165497,
... |
Instructions: 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.
Input: (Groaning) హెన్రీ, ఇక్కడ నుండి బయటపడాలని.
Output: | ( groaning ) Henry, get out of here. Do something! | 3 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.315839946269989,
1.0550576448440552,
0.5207120180130005,
0.34181874990463257,
-0.36412787437438965,
-1.6926710605621338,
-0.6422372460365295,
0.359865665435791,
-0.2903388440608978,
-0.23841771483421326,
-0.8645422458648682,
0.39177775382995605,
-0.6708230972290039,
0.038335468620061874... |
Teacher: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Teacher: Now, understand the problem? If you are still confuse... | No | 2 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.2981535494327545,
-0.041090283542871475,
0.4062337875366211,
0.046956952661275864,
-0.010425152257084846,
-0.570193886756897,
0.17876672744750977,
0.982316255569458,
0.037875983864068985,
0.41141802072525024,
-0.10661226511001587,
0.24787253141403198,
0.06769946962594986,
-0.697280287742... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | Output: HYPH
| 2 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.07569374889135361,
0.3101823925971985,
-0.04587720334529877,
0.3114244341850281,
-0.044432632625103,
-0.48324042558670044,
0.7160007953643799,
1.0374674797058105,
-0.6489602327346802,
-0.3704237937927246,
-0.1582949161529541,
0.2680813670158386,
-0.3784377872943878,
0.0165376216173172,
... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic... | non-personal
| 7 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.12230195105075836,
-0.29409945011138916,
0.12829264998435974,
0.522545576095581,
-0.537422239780426,
-0.08097664266824722,
0.6968363523483276,
0.2522515654563904,
-0.49169647693634033,
-0.359354704618454,
-0.3280494809150696,
-0.5546296238899231,
-0.22614583373069763,
-0.533725738525390... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
--------
Question: (CNN) It's a blind date w... | (D)
| 7 | NIv2 | task302_record_classification | fs_opt | [
0.46592554450035095,
0.5562905073165894,
-0.4388851523399353,
0.28149813413619995,
0.4641055464744568,
-0.11434213817119598,
1.075268268585205,
0.2741660475730896,
0.07455223053693771,
0.04779382795095444,
-0.35825029015541077,
0.6111468076705933,
-0.5522016882896423,
0.5144286751747131,
... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
והפציעה החמורה ביותר היא פיסטולה לידתית.
| Y la lesión más devastadora es la fístula obstétrica. | 5 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.4137433171272278,
0.8637353777885437,
0.38527727127075195,
0.06941850483417511,
-0.3597922921180725,
0.4186432957649231,
0.44520875811576843,
0.3802943825721741,
1.2310545444488525,
-0.28879714012145996,
-0.26909685134887695,
0.9436665773391724,
-0.8403012752532959,
0.7589092254638672,
... |
Instructions: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Input: The brothels gra... | Paraphrase | 3 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.370578408241272,
0.5739462971687317,
-0.00664297491312027,
-0.3168310523033142,
-0.2559627294540405,
-0.004160241223871708,
1.20261549949646,
-0.8177211284637451,
0.6707401275634766,
-0.5146862268447876,
-0.17236743867397308,
0.39396604895591736,
-0.6384459137916565,
0.13610149919986725... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Igbo sentence: 12 N'echi-ya oké ìgwè madu nke biara ememe ahu, mb͕e ha nuru na Jisus nābia Jerusalem, 13 ha chir... | 12 On the next day much people that were come to the feast, when they heard that Jesus was coming to Jerusalem, 13 Took branches of palm trees, and went forth to meet him, and cried, Hosanna: Blessed is the King of Israel that cometh in the name of the Lord. | 1 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
0.2826877236366272,
0.46484696865081787,
-0.18572503328323364,
0.13989131152629852,
-0.14635053277015686,
-0.8228421807289124,
0.5162695646286011,
0.1887771189212799,
0.23030441999435425,
-0.007540702819824219,
-0.1968318521976471,
0.7591133713722229,
-0.3814921975135803,
-0.24373355507850... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Q: نشأتُ في "" كينيا "" عرفتُ دومًا أنني أرغبُ في دراسة الكيمياء الحيوية.
A: Dorastając w Kenii, wiedziałam, że chcę studiować biochemię.
****
Q: بالطبع عند الاستماع للكلمات في المؤتمر هناك العديد والعديد من الاشياء على الطر... | Kule nie były mi już potrzebne, chodziłem w chmurach.
****
| 4 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-0.026317693293094635,
0.15273958444595337,
-0.14845767617225647,
-0.7545508146286011,
-0.720451831817627,
-0.05312533676624298,
0.8840604424476624,
0.1532406210899353,
-0.10444531589746475,
0.5680841207504272,
-0.24126610159873962,
0.008928120136260986,
-0.9414483308792114,
0.590435981750... |
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 contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | The dog is chasing another dog. | 0 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-1.0167104005813599,
1.0579910278320312,
0.611474871635437,
-0.835497260093689,
-0.2572949528694153,
0.08251963555812836,
-0.4628579318523407,
0.9358220100402832,
0.10941687226295471,
-0.8014166355133057,
-0.94217449426651,
-0.6442298889160156,
-0.1910834163427353,
0.009625112637877464,
... |
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Example Input: Democrats figured that if a big enough idiot ran for the Republican nomination that Hillary or Bernie presidency would be assured.
Example Output: Yes
Example Input: This tax raises $21 million ... | No
| 3 | NIv2 | task1721_civil_comments_obscenity_classification | fs_opt | [
-0.7109867930412292,
0.5254577994346619,
0.6798887252807617,
0.8721386194229126,
0.11127417534589767,
-0.5314241051673889,
0.0007183360867202282,
1.1807236671447754,
0.2527608275413513,
0.4653581380844116,
-0.19922319054603577,
-0.14809200167655945,
0.035945262759923935,
-0.980399727821350... |
Detailed Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Problem:This book is absolutely riveting! It seems that only a couple of books a year can hold my attention like this one - which is a shame. I always have a sense of loss after reading... | Positive | 8 | NIv2 | task493_review_polarity_classification | zs_opt | [
0.10227808356285095,
0.10379800200462341,
0.6247248649597168,
-0.7809562683105469,
0.20887914299964905,
-0.4171648919582367,
1.3332382440567017,
0.15129822492599487,
1.2159297466278076,
0.33547139167785645,
-0.8980720043182373,
-0.6206731796264648,
-1.2110792398452759,
-0.11959448456764221... |
Teacher:Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Teacher: Now, understand the problem? Solve this instance: What's the term for the gradual progression from simple plants to larger more complex ones in an area?
Student: | What's the term for the gradual progression from simple plants to larger more complex ones in an area? | 6 | NIv2 | task1552_scitail_question_generation | zs_opt | [
0.09934232383966446,
0.9521850347518921,
-0.07200117409229279,
-0.9509140253067017,
-0.6088281869888306,
-1.0261446237564087,
-0.12870420515537262,
0.09145686030387878,
-0.15748658776283264,
-0.7055251002311707,
-0.6187316179275513,
0.2103293538093567,
-1.1273585557937622,
0.40957340598106... |
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 command.... | I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_WALK
| 1 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.3454074561595917,
0.7163558602333069,
-0.6468185186386108,
0.5163675546646118,
-0.12519562244415283,
-0.0691998228430748,
-0.056806206703186035,
0.3060758709907532,
-0.1661117970943451,
-0.0611221082508564,
-0.7435798048973083,
-0.20414522290229797,
-0.5459451675415039,
-0.15156818926334... |
Instructions: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain condit... | SELECT DISTINCT Title FROM Songs | 3 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.6138684153556824,
0.6169079542160034,
-1.2599650621414185,
1.1031711101531982,
-0.14871078729629517,
-0.2082653045654297,
0.7461844682693481,
0.9540597200393677,
-0.569417417049408,
0.600037693977356,
0.2474742978811264,
0.2834978997707367,
-0.08602321147918701,
0.29627665877342224,
0.... |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Example Input: To test the difficulty of our dataset, we checked the majority class label and the accuracies o... | What is the best performing model?
| 3 | NIv2 | task461_qasper_question_generation | fs_opt | [
-0.41661834716796875,
0.09115032851696014,
0.10155440121889114,
0.17428693175315857,
0.13904468715190887,
-0.458005428314209,
0.36145615577697754,
0.5618936419487,
0.6240190863609314,
0.4767744839191437,
-0.7608993649482727,
0.27586615085601807,
-0.5382646322250366,
0.4540061056613922,
0... |
Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal dependin... | non-personal | 3 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.29428261518478394,
0.3941989541053772,
0.09463655948638916,
0.5491586923599243,
-0.43456268310546875,
-0.7739303112030029,
0.4294484853744507,
0.5836963653564453,
-0.39169612526893616,
-0.05191304162144661,
-0.5556060075759888,
0.20166808366775513,
-0.012395443394780159,
-0.577188491821... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Example input: "" אף אדם אינו אי העומד בפני עצמו.
Example output: "" Nessun uomo è un'isola completamente a sé.
Example explanation: The Hebrew sentence is correctly translated into Italian, because the meaning is preserved.... | La salute femminile, dalla prospettiva dei fondi governativi, a volte è popolare ma altre no. | 3 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-0.2419206202030182,
0.5430394411087036,
-0.07771696150302887,
-0.20527054369449615,
-0.28770798444747925,
-0.8743143677711487,
0.883678674697876,
0.036792315542697906,
0.4013674557209015,
-0.7736386060714722,
-0.7160748243331909,
0.5169901847839355,
-1.2151665687561035,
0.1584088206291198... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.