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 |
|---|---|---|---|---|---|---|
Instructions: The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replace... | sin | 3 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.7846550345420837,
0.5711119771003723,
0.012266125530004501,
0.6379072070121765,
0.39565545320510864,
-1.1191996335983276,
0.680416464805603,
0.003663161303848028,
0.02596772089600563,
0.43910712003707886,
-0.14656776189804077,
-0.18409329652786255,
-0.47009339928627014,
-0.1597655713558... |
In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
Q: how were letters sealed in the 1800s, Answer: If the impression is made purely as a relief resulting from the greater pressure on the paper where the high parts of the matrix ... | No | 4 | NIv2 | task1294_wiki_qa_answer_verification | zs_opt | [
-0.34318292140960693,
0.7656937837600708,
0.04177837073802948,
-0.5993614792823792,
-0.5999428629875183,
-1.0204302072525024,
0.687031626701355,
0.7139239311218262,
-0.05630311369895935,
0.1178346648812294,
0.5203105211257935,
0.5169599652290344,
-0.13616015017032623,
-0.06442239135503769,... |
You are given a statement written in Bengali. 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 .
--------
Question: Statement: আর৫৬০ (আঞ্চলিক মহাসড়ক) হল বাংলাদেশের রংপুর বিভাগের রংপুর <MASK>, লালমনিরহাট এই তিন... | শ্রীলঙ্কার
| 7 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.26214003562927246,
0.6226134300231934,
0.2925654947757721,
0.38853973150253296,
-0.3519684970378876,
-0.31190603971481323,
-0.18284043669700623,
0.7261656522750854,
-0.08433087915182114,
-0.15979164838790894,
-0.49830883741378784,
0.3591560423374176,
-0.4697772264480591,
-0.0160778369754... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the su... | A dog is drinking water. | 2 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-1.2489023208618164,
0.3440123200416565,
0.4649185538291931,
-0.285366415977478,
0.06569910049438477,
-0.11575637012720108,
-0.5380032658576965,
0.7635399699211121,
0.40464115142822266,
-0.7019234895706177,
-1.2379872798919678,
-0.6790962219238281,
-0.30392932891845703,
0.13421645760536194... |
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, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating... | a | 1 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
-0.623003363609314,
0.1462121307849884,
0.004923101048916578,
0.35599973797798157,
0.13265815377235413,
0.1359378695487976,
0.3685741722583771,
0.6607201099395752,
0.22021695971488953,
-0.07980243861675262,
-0.5425385236740112,
-0.42233794927597046,
0.5707440972328186,
0.09675981104373932,... |
Teacher:In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Teacher: Now, understand the problem? Solve this instance: Can you tell me about Bulgaria?
Bulgaria suffered little war damage and the Soviet Union demanded no reparations. The name Bulgaria is der... | Bulgaria | 6 | NIv2 | task578_curiosity_dialogs_answer_generation | zs_opt | [
0.5084396600723267,
0.47637730836868286,
-0.6698629856109619,
0.4349982738494873,
0.18334650993347168,
-0.09111286699771881,
1.17940092086792,
1.1953816413879395,
0.11994457244873047,
0.2714630365371704,
-0.2262057065963745,
0.83957839012146,
-0.7721827626228333,
-0.0001769918017089367,
... |
Q: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Sentence: 'three guys sitting on the couch watching some television'. Count the number of vowels in the given sentence.
A: | 18 | 7 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.24799853563308716,
0.7354713678359985,
-1.1293212175369263,
-0.7294309139251709,
0.12962706387043,
0.5390067100524902,
0.44141751527786255,
0.3944191634654999,
0.004712717607617378,
-0.3864278197288513,
-0.48045653104782104,
0.13711920380592346,
0.16382327675819397,
-0.9764412641525269,
... |
Given the task definition and input, reply with output. In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
How did the Marhsall islands gain independence?, Context: In 1986, the Compact of Free Association with the United States entered into force,... | The Compact provided for aid and U.S. defense of the islands in exchange for continued U.S. military use of the missile testing range at Kwajalein Atoll | 5 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.6863023042678833,
0.5503740310668945,
0.03328736871480942,
-0.5219905972480774,
0.08992798626422882,
-0.37787699699401855,
0.8915438652038574,
0.25583207607269287,
-0.047044575214385986,
-0.09681284427642822,
-0.28732097148895264,
-0.06599445641040802,
-0.7120586037635803,
-0.13889144361... |
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Let me give you an example: entity: arm
before: free
after: grasped
attr: state
The answer to this example can be: state of a... | wetness of ribbon was wet before and somewhat dry afterwards | 8 | NIv2 | task1631_openpi_answer_generation | fs_opt | [
-0.0006244410760700703,
0.7998204827308655,
-0.3787285089492798,
-0.3885580003261566,
-0.6683235168457031,
-1.6933845281600952,
0.0016057140892371535,
0.9511718153953552,
0.006593346130102873,
-0.13270308077335358,
-0.29611530900001526,
-0.05314794182777405,
-0.764795184135437,
-0.44902968... |
Teacher:The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Teacher: Now, understand the problem? Solve this instance:... | to go out but the mother will not let him. | 6 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.22442767024040222,
0.3455716073513031,
0.11207368224859238,
-0.8264514207839966,
-0.6539813280105591,
-0.38252413272857666,
0.14016661047935486,
0.7415677905082703,
0.11281845718622208,
-0.06366397440433502,
0.11337568610906601,
-0.03448737412691116,
-0.9996663928031921,
-0.185387685894... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: "If they manage to calm the situation in Daraa, the government believes it... | "अगर वे दारा में स्थिति को शांत करने का प्रबंधन करते हैं, तो सरकार का मानना है कि यह पूरे सीरिया में स्थिति को नियंत्रित करने में सक्षम होगा।" | 4 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.4585367441177368,
0.4614770710468292,
0.8400759696960449,
-0.9452019929885864,
0.3597726821899414,
-0.5765081644058228,
1.1976902484893799,
0.8692595362663269,
-0.09309834241867065,
0.3814893960952759,
-0.4815773069858551,
0.35644805431365967,
-0.6486475467681885,
0.2484566569328308,
... |
In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. The correct answer w... | de carboni i oxigen
| 6 | NIv2 | task837_viquiquad_answer_generation | fs_opt | [
0.6368875503540039,
0.5346502661705017,
-0.4851677119731903,
-0.4349101185798645,
-0.026162605732679367,
-0.8725028038024902,
1.1546804904937744,
1.2424505949020386,
0.2510320544242859,
0.4234328866004944,
-1.0387065410614014,
0.01623774692416191,
-0.7340008020401001,
0.4676890969276428,
... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
[Q]: Fact1: rec... | Flashy young bowler Roy Munson Woody Harrelson wins the 1979 Iowa state bowling championship and leaves home to turn professional. In his professional bowling tour debut, he defeats established pro Ernie McCracken Bill Murray, who takes the loss poorly and seeks revenge. McCracken convinces Roy to join him in hustling ... | 5 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.6189167499542236,
0.46537137031555176,
-0.5446475744247437,
-0.10980826616287231,
0.12315376102924347,
-0.2377404272556305,
0.3778744339942932,
1.1210007667541504,
-0.42689767479896545,
0.03404112160205841,
-0.39867138862609863,
0.04554890841245651,
-0.22745458781719208,
0.45132300257682... |
Definition: In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking court which es... | overruling | 2 | NIv2 | task274_overruling_legal_classification | zs_opt | [
-0.5091814994812012,
0.565399706363678,
0.5781747102737427,
-0.1020548939704895,
-0.15046431124210358,
-0.4813764691352844,
0.22005701065063477,
0.8766721487045288,
0.29080435633659363,
-0.16905613243579865,
-0.6325236558914185,
-0.4788771867752075,
-0.9592770338058472,
-0.3405780196189880... |
Teacher: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Qui c'è la medusa mortale con le ali ad X.
Solution: Aquí esta la medusa ala-x de la muerte.
Reason: The Italian sentence ... | Y estas son preguntas que he hecho a productores de televisión de ciencia, educadores de ciencia — profesores de ciencia — y también a niños de siete años, y encuentro que los niños de siete años las responden mejor que las otras personas, lo cual es de algún modo sorprendente. | 2 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.6234390735626221,
0.19492332637310028,
-0.5879156589508057,
-0.5590882301330566,
-0.5737694501876831,
-0.5895726084709167,
0.08733557909727097,
1.2143521308898926,
0.06731091439723969,
-0.23969082534313202,
-0.1312013566493988,
0.4591211974620819,
-0.5902670621871948,
0.3297434449195862... |
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Ex... | Yes. | 3 | NIv2 | task050_multirc_answerability | fs_opt | [
-1.088921308517456,
0.08454629778862,
0.3518962562084198,
0.6912609338760376,
-0.6099122762680054,
-1.3585615158081055,
0.08785345405340195,
0.8965533971786499,
0.1310417205095291,
0.09585127979516983,
-0.32650226354599,
0.24680665135383606,
0.14282158017158508,
0.030011240392923355,
0.3... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
و این گروهی است که طوری رشد کرده تا فراگیرتر فکر کند. ب ج کی: عالی نیست ؟ به فناوری نگاه کنید!
A: | Już całe pokolenie dorastało myśląc bardziej całościowo. BJK: Czy to nie cudowne? Np. technologia! | 7 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-1.172261357307434,
1.5449776649475098,
0.2875138521194458,
-0.36450129747390747,
-0.8249931335449219,
0.038523927330970764,
0.6125904321670532,
0.7507706880569458,
0.2801195979118347,
-0.14785762131214142,
-0.5604158639907837,
0.7968273162841797,
-0.4495502710342407,
0.3968912959098816,
... |
Part 1. Definition
Given a premise and two alternatives, choose the alternative that is a more plausible cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Part 2. Example
The women met... | 1 | 7 | NIv2 | task827_copa_commonsense_reasoning | fs_opt | [
-0.12729305028915405,
0.308798611164093,
-0.17193982005119324,
0.04079076275229454,
-0.2159525454044342,
0.2974964678287506,
0.693449854850769,
0.5400698781013489,
0.5220258235931396,
0.08400170505046844,
-0.6546024084091187,
-0.5723049640655518,
-0.09822416305541992,
0.1184760257601738,
... |
Part 1. Definition
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Part 2. Example
Igbo sentence: Olee kwere omume?
Answer: How is this possible
Explanation: The English translation means the same as the original sentence in the Igbo lang... | For more on the causal graphs framework, I recommend Pearl, Glymour, and Jewell (2016) (introductory) and Pearl (2009) (advanced). | 7 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
-0.11816637217998505,
0.49263864755630493,
0.29516881704330444,
-0.5055978298187256,
0.43178465962409973,
-1.4353718757629395,
0.35076770186424255,
0.9082505106925964,
-0.29003340005874634,
0.0392138697206974,
-0.36289215087890625,
-0.14440728724002838,
-0.7798986434936523,
-0.436990559101... |
Detailed Instructions: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]... | [79, 677] | 9 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.6531989574432373,
0.7652158737182617,
-0.22231340408325195,
-0.80196613073349,
-0.17012622952461243,
-0.2660837471485138,
0.48967137932777405,
0.550585925579071,
0.11907948553562164,
0.23581340909004211,
-0.9408164024353027,
-0.19450798630714417,
-0.1244993656873703,
-0.1471292674541473... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example Input: The independent New York-based Committee to Protect Journa... | 米国地質調査所（USGS）によれば、午後3時35分（東部時間）にその5.8の地震が南極のケイシー基地から105km（65マイル）南南東、または南極点から2565km（1590マイル）北で起こった。
| 3 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
0.13661110401153564,
-0.2074894905090332,
0.048191845417022705,
-0.03667915612459183,
0.7249656319618225,
-0.37212955951690674,
-0.41747069358825684,
0.16215458512306213,
-0.3799085319042206,
-0.3505919575691223,
-0.4332698583602905,
0.2254500389099121,
-0.41546952724456787,
0.348280400037... |
Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides add... | strengthener | 3 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
-0.017890147864818573,
0.4200330972671509,
-0.45130807161331177,
0.09389039874076843,
-0.11013529449701309,
-0.5144994258880615,
0.9384796619415283,
1.3746845722198486,
0.10929572582244873,
0.010152346454560757,
-0.925757884979248,
0.2596507668495178,
-0.7063130140304565,
0.050551913678646... |
Instructions: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context... | They are convincing someone to go vegetarian . | 3 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
0.11316944658756256,
1.2633755207061768,
-0.5151088237762451,
-0.16427022218704224,
-0.20799976587295532,
-0.7719532251358032,
0.48786085844039917,
1.0217459201812744,
-0.21781180799007416,
-0.21955272555351257,
-0.5050941705703735,
-0.27924031019210815,
-0.4489811062812805,
-0.50471365451... |
Definition: A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: حکومت کی طرف سے کئے گئے کام کے بارے میں اظہار خیال کرتے ہوئے انھوں نے ان بہت سی کوششوں کی تفصیلات بتائیں جو حکومت نے کی ہیں، جن میں ر... | ഗവണ്മെന്റ് ചെയ്ത പ്രവര്ത്തനങ്ങളെക്കുറിച്ച് സംസാരിച്ച അദ്ദേഹം, ജീവിതം സുഗമമാക്കുന്നതിനു കൈക്കൊണ്ട നിരവധി നടപടികള് വിശദീകരിച്ചു. വില നിയന്ത്രിച്ചു, അഞ്ചുവര്ഷം കൊണ്ട് 1. | 2 | NIv2 | task1060_pib_translation_urdu_malayalam | zs_opt | [
0.257535845041275,
0.7286360263824463,
-0.4362828731536865,
-0.7461845874786377,
-0.09579259902238846,
-0.09102986007928848,
0.871543288230896,
0.4578273594379425,
-0.23611202836036682,
-0.05527901649475098,
-0.9575064182281494,
-0.35197681188583374,
-0.2493343949317932,
0.2508441805839538... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Ex Input:
Article: Ten years ago,Morga... | Yes
| 1 | NIv2 | task310_race_classification | fs_opt | [
0.7268146276473999,
0.20934957265853882,
-0.21344147622585297,
-0.5906271934509277,
0.4765787720680237,
-0.48188671469688416,
1.3112001419067383,
0.7919352054595947,
0.550418496131897,
-0.3329061269760132,
-0.17355310916900635,
0.3058582544326782,
-0.2256755530834198,
-0.023685265332460403... |
Detailed Instructions: Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expr... | Positive | 9 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
-0.2568451762199402,
-0.2179316133260727,
-0.03367011621594429,
0.45850884914398193,
0.5104609727859497,
0.18650369346141815,
0.6923367977142334,
0.7310463786125183,
-0.43110793828964233,
0.1107296571135521,
0.29326188564300537,
0.5352246761322021,
-0.5260485410690308,
0.022599440068006516... |
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.
See one example below:
Problem: Un bărbat pune brânză mărunțită pe o pizza.
Solution: A man is spreading shreded cheese on a pizza.
Explanation: In the given ... | Small boat going down a creek. | 4 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.7198472023010254,
0.7086379528045654,
0.63912034034729,
-0.40781670808792114,
0.10092981159687042,
-0.17142978310585022,
1.079132080078125,
0.6990365982055664,
0.60117107629776,
-0.1031242087483406,
-0.2255275696516037,
0.9088726043701172,
-0.4974184036254883,
-0.05423635616898537,
0.... |
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 consistency, answers should be in all lower cased letters.
Category: YOU'RE... | the king cobra | 1 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.5308955907821655,
0.6135931015014648,
-0.10980410873889923,
-0.08928406983613968,
-0.5659598708152771,
0.4131748080253601,
0.5900812149047852,
-0.08930760622024536,
-0.0396537184715271,
-0.22240565717220306,
-0.33229732513427734,
0.04836330562829971,
-0.5131063461303711,
0.2090433537960... |
Definition: Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Input: Basaltic eruptions can produce ____ different types of flow.
Output: | two | 2 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
0.12411436438560486,
0.979482889175415,
-0.07840174436569214,
-0.03692679852247238,
0.17426154017448425,
-0.45237377285957336,
1.1550257205963135,
0.7035810947418213,
0.12041684985160828,
-0.2521756589412689,
-0.07655307650566101,
-0.18905365467071533,
-0.8689719438552856,
-0.5072804093360... |
Instructions: In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8... | [256, 1024, 4096, 4096, 32, 64, 4, 32, 2048, 2048, 1024] | 3 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.5343040227890015,
1.3995404243469238,
-0.21718333661556244,
-0.1317550241947174,
-0.5169637203216553,
0.41137105226516724,
0.5666758418083191,
-0.006632368080317974,
-0.3263929486274719,
0.26468896865844727,
-0.7144281268119812,
0.6480145454406738,
-0.2660141587257385,
-0.36070343852043... |
TASK DEFINITION: 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.
PROBLEM: Transport Minister Edwina Hart gave the project the go-ahead on Wednesday. It followed a consultation over three route optio... | BMA in Wales wants faster action on GP 'crisis'
| 8 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.23583832383155823,
0.32653528451919556,
-0.0363541878759861,
-0.06234568729996681,
0.6236872673034668,
-0.029519658535718918,
0.6270852088928223,
0.6476274132728577,
-0.16663481295108795,
0.05362666770815849,
0.0870688259601593,
0.8368704319000244,
0.5590913891792297,
-0.3972043395042419... |
Given the task definition and input, reply with output. You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
what films can be described by twisted ending?
| Shutter Island, Limitless, Push, The Body | 5 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.9422559142112732,
0.8717174530029297,
0.21125578880310059,
0.4487142562866211,
-0.5211586356163025,
0.553053081035614,
0.33141905069351196,
-0.33302032947540283,
0.017100278288125992,
-0.38533347845077515,
-0.13230302929878235,
-0.3188331425189972,
-0.3524426221847534,
0.311510294675827... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | Yes
| 5 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-1.1278177499771118,
0.33936047554016113,
0.2971327006816864,
0.24650126695632935,
-0.2081112414598465,
0.25537553429603577,
0.39379024505615234,
0.7421919107437134,
0.37667495012283325,
0.4793156087398529,
0.07248183339834213,
-0.051930829882621765,
-0.5185784101486206,
-0.897044539451599... |
Given the task definition, example input & output, solve the new input case.
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.
Example: But Eluned Morgan conceded that it would be "difficult for us to... | Bristol man denies killing UK's rarest butterfly | 1 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.30984583497047424,
1.038586974143982,
-0.08923976123332977,
-0.43661195039749146,
0.815658688545227,
0.18174657225608826,
0.20738562941551208,
0.9832929372787476,
-0.6563371419906616,
0.3396751582622528,
0.08170170336961746,
0.8492769002914429,
-0.07056020200252533,
0.6218158602714539,
... |
Detailed Instructions: Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outd... | emotional status | 9 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.05286072567105293,
0.3853120505809784,
-0.41438478231430054,
-0.436445027589798,
0.09303401410579681,
-0.18881875276565552,
-0.09018823504447937,
0.32533174753189087,
0.3739907741546631,
0.19279655814170837,
-0.1982327699661255,
0.14714385569095612,
-0.17491227388381958,
-0.3940943479537... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Translate the given Spanish text to English
A method for converting a series of m-bit information words to a modulated signal is described.
Solution: Se describe un método para convertir una serie d... | La relación en peso de (b):(c) es 0,1 a 0,25. | 0 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.35327520966529846,
0.3083094358444214,
-0.12925507128238678,
-0.1680532842874527,
0.3462553024291992,
-0.785015344619751,
0.6463025808334351,
0.9087183475494385,
0.7291756272315979,
-0.03708967566490173,
-0.45174163579940796,
0.28426602482795715,
-0.02626832202076912,
-0.000652108923532... |
TASK DEFINITION: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an i... | [-720, 380, 347776, 0, 3520, 20, 18480, -364, -12, 22]
| 8 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.2774882912635803,
0.0044576022773981094,
-1.0935866832733154,
-0.028464680537581444,
-0.019393842667341232,
-0.13749325275421143,
1.138462781906128,
0.7212579250335693,
-0.4226932227611542,
-0.38129866123199463,
-0.796241044998169,
0.29912692308425903,
-0.5148733854293823,
-0.22708475589... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
One example: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Solution is here: Isto inclúe un sistema en árabe chamado al-jebra.
Explanation: The Italian sentence is correctly translated into Galician, ... | Quero dicir, tiñades que velo. | 6 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.1259659230709076,
1.1085481643676758,
-0.3789190649986267,
0.20517602562904358,
-0.37630757689476013,
-0.6869898438453674,
0.9485817551612854,
0.35219502449035645,
-1.1094030141830444,
0.1278115212917328,
-0.3542941212654114,
-0.5918396711349487,
-0.725648045539856,
0.6586203575134277,
... |
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
--------
Question: Rule 25 clearly states that power-driven ships under 65 ft. must also give way to big ships in restricted waters.
Answer: Umthetho 25... | Abone ukuba iimpawu isenzulwizi ngoku khawuleza ukuphendula xa kubuliswa umrhebi wenqanawa xa edlula.
| 7 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
-0.3872959017753601,
0.15035684406757355,
0.4005366861820221,
-0.6635088920593262,
-0.1451345831155777,
-0.3668591380119324,
0.4252132773399353,
0.24376165866851807,
0.0030429083853960037,
-0.10175784677267075,
-0.10283906012773514,
-0.04563625156879425,
-0.869378924369812,
-0.051072135567... |
Definition: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Input: Linda flung him a blanket
Output: | Linda flung a blanket to him | 2 | NIv2 | task132_dais_text_modification | zs_opt | [
-0.2554175853729248,
0.9125385284423828,
0.6420255899429321,
-0.3095967769622803,
-0.07473564147949219,
-0.3505697250366211,
0.022761870175600052,
-0.15566357970237732,
0.031835440546274185,
-0.6715753078460693,
-1.1394550800323486,
0.16345441341400146,
-0.68101567029953,
-0.04975168406963... |
instruction:
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
question:
Tweet: @anonymized_account @anonymized_account No to @anonymized_account już przepadł😁😁 , Question: Is the tweet free of any cyberbullying (harmful) content?
answer:
Yes
question:... | No
| 9 | NIv2 | task839_cdt_classification | fs_opt | [
-0.7613198161125183,
1.137495756149292,
0.07810550183057785,
0.9418431520462036,
-0.35939428210258484,
-0.48754358291625977,
1.0120110511779785,
-0.04442555457353592,
0.14437341690063477,
0.08422738313674927,
-0.5329009294509888,
-0.054676711559295654,
-0.6948509812355042,
-0.2881557047367... |
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any ... | PersonX always spent ages trying to get their kitchen clean but PersonY did not because _ was very messy. | 4 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
1.0689797401428223,
0.26594114303588867,
-0.3971919119358063,
-0.41459202766418457,
0.4215468466281891,
-1.1510868072509766,
1.3817780017852783,
0.5404489040374756,
-0.5443055629730225,
-0.5013526678085327,
0.06390632688999176,
0.3734481632709503,
-0.8718669414520264,
0.2916128933429718,
... |
Q: Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact... | Organisms that live in the ocean must be adapted to the salt water. | 7 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.1153537854552269,
0.7094322443008423,
-1.0085666179656982,
-0.5398739576339722,
-0.625427782535553,
-0.9887319803237915,
-0.19277721643447876,
0.9072185754776001,
-0.45026302337646484,
-0.020728319883346558,
-0.8413341045379639,
0.5996007323265076,
-1.014355182647705,
-0.0276874061673879... |
Instructions: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should n... | PersonX used a chainsaw to cut down the tree instead of a regular saw like PersonY, because _ rejects modern equipment. | 3 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.7814480066299438,
0.25507575273513794,
-0.5850869417190552,
-0.4767465591430664,
0.3267423212528229,
-1.4282183647155762,
1.5610259771347046,
0.6182266473770142,
-0.5378592014312744,
-0.2890041470527649,
-0.10871605575084686,
-0.12075068801641464,
-0.5748214721679688,
0.25904178619384766... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so... | The lentils grew faster than the beans in the garden because the _ received less water. | 1 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.6252727508544922,
0.07775256037712097,
0.23814460635185242,
-0.03613733500242233,
0.8801755309104919,
-0.784673810005188,
0.8077875971794128,
1.2472448348999023,
-0.6230037212371826,
-0.3538641333580017,
-0.36958202719688416,
0.28231722116470337,
-0.1815999448299408,
-0.022733049467206,
... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
See one example below:
Problem: Comment: Presid... | Sexual-explicit | 4 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.9595797061920166,
0.17147621512413025,
0.07164645195007324,
0.0034597571939229965,
-0.007993727922439575,
-0.3035157024860382,
0.23999309539794922,
0.853861927986145,
0.09783436357975006,
0.5922754406929016,
0.5871849656105042,
0.3316349387168884,
-0.2929505407810211,
-0.698283672332763... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
En el caso de los vehículos especiales tampoco pretendo que se fije una cuota de reciclaje tan alta. | I am not looking for such rigidly high recycling quotas when it comes to special-purpose vehicles either. | 0 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.35304659605026245,
0.26391172409057617,
0.6687936186790466,
-0.10717219859361649,
-0.2611352801322937,
-0.33930492401123047,
0.9127362966537476,
0.4615301787853241,
-0.31517040729522705,
-0.2880549132823944,
-0.56818687915802,
-0.3277220129966736,
-0.3063913583755493,
0.5430995225906372... |
Detailed Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
See one example below:
Problem: Fact1: a plant requires sunlight to grow, Fact2: Plants to avoid are fast-growing vines that can take o... | A | 4 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.44649165868759155,
0.1611284613609314,
-0.8324733972549438,
0.07247290015220642,
-0.44169509410858154,
-1.2054616212844849,
0.0046510170213878155,
0.4462505280971527,
-0.38750988245010376,
0.3656347393989563,
-0.5362810492515564,
-0.5284806489944458,
-0.462504506111145,
0.454052090644836... |
Teacher:In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Teacher: N... | 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 15, 16, 19, 23, 24, 29, 32, 36, 38 | 6 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
-0.01669691503047943,
-0.23543916642665863,
-0.32680660486221313,
-0.7857825756072998,
0.36979058384895325,
-0.8053697347640991,
0.6188242435455322,
0.741627037525177,
-0.8261150121688843,
0.3052188754081726,
-0.14687469601631165,
-0.16715380549430847,
-0.3848952054977417,
0.23975296318531... |
You will be given a definition of a task first, then some input of the task.
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Charged me 5 dollars to grate my feet with what looked like a cheese grater and never mentioned the extra cost. Wouldn't gel out fee... | 2 stars | 1 | NIv2 | task1292_yelp_review_full_text_categorization | zs_opt | [
-0.44924718141555786,
0.3272928297519684,
-0.5718556642532349,
0.5290459990501404,
0.25688695907592773,
-0.3977625370025635,
0.3134753704071045,
0.9219372272491455,
-0.021921001374721527,
-0.0893055871129036,
0.5663954019546509,
-0.01825399324297905,
-0.05329320952296257,
-0.05758576840162... |
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 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'.
Pe... | 1 | 0 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.22950805723667145,
0.7460067868232727,
-0.2525274455547333,
0.04579181969165802,
0.2984095811843872,
0.08941478282213211,
0.9967331290245056,
0.20684298872947693,
0.20974206924438477,
-0.2120717465877533,
-0.17926275730133057,
-0.5710115432739258,
-0.16560840606689453,
0.1562796384096145... |
Teacher:In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
Teacher: Now, understand the problem? Solve this instance: sentence1:region is being invaded by locat... | no | 6 | NIv2 | task970_sherliic_causal_relationship | zs_opt | [
-0.6325486898422241,
0.6453897953033447,
0.7506476640701294,
-0.6960070133209229,
-0.2670919895172119,
-0.5899885892868042,
-0.06079871207475662,
0.634680986404419,
0.4531710147857666,
-0.5185661911964417,
-0.317699670791626,
-0.5342434644699097,
-0.6995545625686646,
-0.6148277521133423,
... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Problem:「あれを手に入れたいもっと欲しい私に価値などない何かしなければ」
Solution: | "Muszę mieć to. Potrzebuję więcej. Nie jestem godzien. Powinienem coś zrobić." | 8 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
0.22946614027023315,
0.48704659938812256,
-0.1818522810935974,
0.3017543852329254,
-0.42918694019317627,
0.23492054641246796,
0.9766311645507812,
-0.20343776047229767,
-0.21584999561309814,
-0.8510517477989197,
-0.3586547374725342,
-0.026788992807269096,
-1.1028990745544434,
0.055871203541... |
instruction:
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the ans... | 17358
| 9 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
-0.025737643241882324,
0.5330022573471069,
-1.0800297260284424,
0.21482029557228088,
-0.607917308807373,
-0.3270183205604553,
0.4784238040447235,
1.6115591526031494,
0.6515892744064331,
0.15753427147865295,
-0.4786064624786377,
-0.3715561330318451,
0.23110350966453552,
-0.21082937717437744... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence an... | [['2 December', 'GUEST_1', 'Charlie Pickering'], ['2 December', 'GUEST_4', 'Jill Douglas']] | 4 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.45737725496292114,
0.35808390378952026,
-0.1509665548801422,
-0.4488256275653839,
-0.26358917355537415,
0.3483073115348816,
1.1451375484466553,
-0.15738703310489655,
0.02123657427728176,
-0.4025081396102905,
-1.0027005672454834,
-0.25065577030181885,
-0.15580923855304718,
0.579892873764... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Example: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار گیرد.
Example so... | Solution: تود كويكان: حسناً ، وبعد بتر الذراع شُفيت تماماً. | 5 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.6752442717552185,
0.5445536375045776,
-0.8373736143112183,
-0.6354061961174011,
0.002023805631324649,
-0.14761291444301605,
1.3552374839782715,
0.07647497206926346,
-0.005303641315549612,
0.07001948356628418,
-0.8099300861358643,
0.09314553439617157,
-0.29659491777420044,
0.577833175659... |
This task is to translate the English language Input to Telugu Language Output
Let me give you an example: I am very happy
The answer to this example can be: స్నేను చాలా సంతోషంగా ఉన్నాను
Here is why: The translation is correct with meaning of the sentence not being impacted.
OK. solve this:
Phone: 40 3047 5100
Answer... | అకుర్ది, పూణే-411035. | 8 | NIv2 | task1616_cc_alligned_translate_eng_tel | fs_opt | [
-0.5279315114021301,
0.7057574987411499,
0.22502921521663666,
-0.45892125368118286,
0.1604079008102417,
-0.9620505571365356,
-0.08464750647544861,
-0.2064778208732605,
0.12953323125839233,
0.29248160123825073,
-0.4388943314552307,
0.4973762631416321,
-0.9120137691497803,
-0.197523295879364... |
Part 1. Definition
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (rea... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUA... | 7 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.261624276638031,
-0.059423644095659256,
-0.00567697174847126,
0.18427658081054688,
0.4897001385688782,
-0.2582588195800781,
0.4674305319786072,
0.8000954389572144,
-0.4564940631389618,
0.44450274109840393,
-0.2672726809978485,
-0.15659335255622864,
-0.5469420552253723,
-0.099915161728858... |
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: religious or non-political religious on the top... | non-religious | 6 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | fs_opt | [
-0.38443729281425476,
-0.031832098960876465,
0.29337579011917114,
0.22372229397296906,
-0.4939950108528137,
-0.43780407309532166,
-0.18690212070941925,
0.191360205411911,
-0.25451168417930603,
-0.0010634490754455328,
-0.3732816278934479,
-0.27241358160972595,
-0.2898961901664734,
-0.434152... |
A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
Q: 4. कृषि निर्यात बढ़ाने, खाद्य प्रसंकरण के विकास में तेजी लाने और आधुनिक विपणन सुविधा के लिये निवेश आकर्षित करने, मूल्य श्रृंखलाओं तथा साजोसामान के बारे... | নয়াদিল্লি, ১০ জানুয়ারী, ২০১৯ মালয়েশিয়ার সংসদ সদস্য দাতুক সেরি আনওয়ার ইব্রাহিম আজ নতুন দিল্লিতে প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদীর সঙ্গে সাক্ষাৎ করেন।
****
| 4 | NIv2 | task1010_pib_translation_hindi_bengali | fs_opt | [
0.10728810727596283,
0.3159767687320709,
0.48435860872268677,
0.04605325683951378,
-0.25968125462532043,
-0.03264746814966202,
0.3816959857940674,
0.3698059618473053,
-0.2906721234321594,
0.580959677696228,
-0.6178794503211975,
0.7809260487556458,
-0.2995658218860626,
0.12300674617290497,
... |
TASK DEFINITION: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
PROBLEM: what is a movie written by Daniel Yost?
SOLUTION: Drugstore Cowboy
PROBLEM: how famous was Uptown Girls?
SOLUTI... | Jeanie Macpherson
| 8 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.1833665817975998,
0.3327290415763855,
-0.4658828675746918,
0.7034067511558533,
-0.3288172781467438,
0.33886778354644775,
0.950182318687439,
0.11596890538930893,
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0.09114249795675278,
-0.12035861611366272,
0.5098910331726074,
-0.43682044744491577,
-0.0052361949346959... |
Detailed Instructions: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Problem:Valium Long-Term Effects. Heavy use of Valium over an extended period of time can have ... | Most of the effects last about 6-8 hours, after that time Valium. | 8 | NIv2 | task870_msmarco_answer_generation | zs_opt | [
1.3851122856140137,
0.6611762642860413,
-0.7441174983978271,
-0.17065899074077606,
-0.25960689783096313,
-0.8767367601394653,
0.606456458568573,
0.8318308591842651,
-0.024524495005607605,
-0.2308099865913391,
-0.5920416116714478,
0.3480913043022156,
-0.6708230376243591,
0.01482405047863721... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | old shoe boo hoo i want a new shoe boo hoo have a blue shoe old shoe where be you
| 7 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.7994634509086609,
0.9913517236709595,
-0.5586919784545898,
0.09883342683315277,
-0.2588411867618561,
-0.7364760637283325,
0.3136417865753174,
0.824752926826477,
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-0.8182847499847412,
-0.6495257616043091,
0.8549494743347168,
-0.9453179836273193,
0.18744701147079468,
... |
Instructions: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Input: Context: Lee made Sydn... | True | 3 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.5656474828720093,
0.38745224475860596,
0.3403274416923523,
-0.46359583735466003,
0.0034291993360966444,
-0.3244597315788269,
0.48998013138771057,
0.8610628247261047,
0.43962836265563965,
0.32994988560676575,
-0.46725380420684814,
0.270976185798645,
-0.5139189958572388,
0.082728609442710... |
Part 1. Definition
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Part 2. Example
Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Answer: Brindo soluciones. Estoy muy feliz.
Explanation: The Polish sentence is correctly translated into Spanish, because the meaning is p... | Crea una representación de lenguaje basura. | 7 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-1.0135679244995117,
1.0182008743286133,
0.12265864759683609,
-0.5435820817947388,
0.014439763501286507,
-0.5458056926727295,
1.2184345722198486,
-0.43754950165748596,
0.25827062129974365,
-0.7352146506309509,
-0.5921297073364258,
0.5600746870040894,
-0.5229853391647339,
0.2910223603248596... |
Detailed Instructions: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Q: Context: Disa... | yes | 9 | NIv2 | task241_tweetqa_classification | zs_opt | [
-1.0903066396713257,
-0.236113041639328,
0.2774941921234131,
0.7566982507705688,
0.6063330769538879,
-1.3950682878494263,
0.3790600299835205,
0.3247092068195343,
0.30445122718811035,
0.2813265323638916,
0.11427575349807739,
-0.2098115235567093,
-0.3536359369754791,
0.37043076753616333,
-... |
Teacher:In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence descri... | beach huts with the pier in the distance | 6 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.6371216773986816,
-0.2172859013080597,
-0.802933931350708,
-0.5112782120704651,
-0.7031618356704712,
-0.8645152449607849,
-0.018985839560627937,
0.8688833713531494,
0.09019850194454193,
0.08916403353214264,
-0.4363076686859131,
0.31685635447502136,
-0.5702440738677979,
-0.32821580767631... |
Given the task definition and input, reply with output. Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
What river does Warsaw s... | proper | 5 | NIv2 | task1623_disfl_qa_disfluent_question_classification | zs_opt | [
-0.24970263242721558,
0.7598639726638794,
0.21054460108280182,
-0.2314239740371704,
-0.19615930318832397,
0.3120344579219818,
0.6010323762893677,
-0.5709080696105957,
0.679852306842804,
-0.10552692413330078,
-0.24635662138462067,
-0.3900918662548065,
-0.46074792742729187,
0.053468607366085... |
Teacher: In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Teacher: Now, understand t... | Literature | 2 | NIv2 | task521_trivia_question_classification | fs_opt | [
-0.11226418614387512,
0.9731924533843994,
0.011901319026947021,
-0.06182060390710831,
-0.20613566040992737,
0.2796781063079834,
0.6218546628952026,
0.4021909534931183,
0.19874748587608337,
0.0035336422733962536,
-0.24030520021915436,
-0.16804370284080505,
-1.0203155279159546,
-0.4451413750... |
Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Selandia Baru sekarang bermain dengan salah satu Srilanka atau Inggris di semi final.
Output: | ニュージーランドは準決勝でスリランカかイングランドのどちらかと試合をする。 | 3 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
0.17721030116081238,
0.8617873191833496,
0.002694216789677739,
-0.2547619938850403,
-0.025025172159075737,
-0.6390658020973206,
0.7095829248428345,
-0.33239543437957764,
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-0.749547004699707,
-0.45955437421798706,
0.388995498418808,
-0.5778191089630127,
0.41686499118804... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Q: ['e', '7085', 'C', 'e', '1383']
A: | 8468 | 9 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.49715137481689453,
1.0432605743408203,
-0.7183406949043274,
-0.8211423754692078,
-0.16058537364006042,
-1.2589057683944702,
0.42130181193351746,
-0.3705255389213562,
-0.30039629340171814,
0.6252627372741699,
0.08501557260751724,
0.22347216308116913,
-0.08222994208335876,
-0.5138267874717... |
Q: 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 det... | No | 7 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.14138813316822052,
0.47774749994277954,
0.45405641198158264,
-0.5023883581161499,
-0.5575796365737915,
-0.7132364511489868,
1.3583259582519531,
-0.15020200610160828,
-0.7281287908554077,
-0.5503895282745361,
-0.12704643607139587,
-0.3402409553527832,
-0.7992488145828247,
0.59047263860702... |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Example Input: #Awareness seek #shelter .#Letgo Old #habit of chasing #desires resultin in #anger #fear #worry .#Choose #Satisfaction within #Peace #... | Angry
| 3 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | fs_opt | [
-1.1149921417236328,
0.338252991437912,
0.7202622294425964,
-0.1102319285273552,
-0.36976322531700134,
-1.2301231622695923,
0.5667513608932495,
0.32805323600769043,
0.4369194805622101,
0.10196347534656525,
0.04734297841787338,
0.09030617028474808,
-0.8932562470436096,
-0.9305588006973267,
... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[EX Q]: Tweet: DeeDee, Patrick, Ed, Sheen, Timmy's Dad, Beavis & Butthead, Peter Grif... | false
| 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-0.9349426031112671,
0.6036275625228882,
0.783141016960144,
0.19505329430103302,
-0.6603030562400818,
-0.960807204246521,
0.35782063007354736,
0.5415406227111816,
0.5258266925811768,
0.2577441930770874,
-0.2513693571090698,
-0.2529571056365967,
-0.5973814725875854,
-0.5379272699356079,
0... |
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 relevant to the story.
[Q]: Title: James Gets Scratched. Sentence 1: James was pl... | When she took a bite, it was awful.
| 5 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.21488186717033386,
0.7569513916969299,
-0.19586344063282013,
-0.23642435669898987,
-0.055173881351947784,
-0.28249332308769226,
-0.158792644739151,
0.8929824233055115,
-0.23679298162460327,
-0.10156957805156708,
-0.10981237888336182,
0.6451829671859741,
-0.015133914537727833,
0.36856076... |
You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number.
One example is below.
Q: Passage: Fact 1- Mary moved to the ba... | Fact 8 | 9 | NIv2 | task084_babi_t1_single_supporting_fact_identify_relevant_fact | fs_opt | [
0.30035972595214844,
0.5544467568397522,
-1.250380039215088,
-0.4407263994216919,
-0.7483232021331787,
-0.5939521789550781,
-0.0441303625702858,
0.5353360176086426,
0.031181544065475464,
0.1974717676639557,
-0.7062702178955078,
0.29692137241363525,
-0.682464599609375,
-0.09315679967403412,... |
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be ... | Is exclusion of HIV epitopes shared with human proteins prerequisite for designing safer AIDS vaccines? | 4 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.5338805913925171,
0.7390925884246826,
-0.31567075848579407,
0.9514626264572144,
0.03284114599227905,
-0.5033389925956726,
0.9573280811309814,
0.7463834285736084,
0.061557553708553314,
0.05299663543701172,
-1.130188226699829,
0.5206234455108643,
-0.4063466787338257,
-0.10935962945222855,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
[EX Q]: ابتکار انسان و اختراعات همواره ما را به سمت جلو رانده اند ،
[EX A]: La creatività e l'innovazione umane ci hanno sempre spinto avanti.
[EX Q]: سلام.
[EX A]: Buongiorno.
[EX Q]: و یا شاید مرد عنکبوتی روزی مرد مارم... | E forse, un giorno, Spider Man sarà Gecko Man.
| 6 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.9345499873161316,
0.8577863574028015,
-0.45805132389068604,
-0.0737343430519104,
-0.6548105478286743,
-0.6503998041152954,
0.2735602855682373,
0.14663299918174744,
0.38822388648986816,
-0.07089871168136597,
-1.2081193923950195,
0.5050342679023743,
-0.12004099786281586,
0.340974330902099... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Ex Input:
Traktuje swoje przekonania jak odziedziczone kije i kamienie. Nie porusza ich żadna logika.
Ex Output:
حسنا ، أنه يتعامل بناءً على أعرافه كما لو أن هذه الأعراف كالعصي والحجارة والصخور التي قد ورثها ، وأنها غير قابل... | ستقولون أنّ تلك خسارة.
| 1 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.24111181497573853,
0.4899219870567322,
-0.019967589527368546,
-0.3200257420539856,
-0.43271416425704956,
-0.23384690284729004,
1.5476760864257812,
-0.02087797224521637,
-0.10195314884185791,
-0.0777815580368042,
-0.13815298676490784,
0.5425077080726624,
-0.6847684383392334,
0.4468933045... |
instruction:
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX... | NN
| 9 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.4874359965324402,
0.10927461087703705,
-0.3798523545265198,
0.14751964807510376,
0.07612159848213196,
-0.696790874004364,
0.9828965663909912,
0.8166615962982178,
-0.4620339274406433,
0.038627587258815765,
-0.5539392232894897,
0.22871838510036469,
-0.46894967555999756,
0.02782834321260452... |
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: 彼がブログに掲載した電話記録によると
Student: | ອີງຕາມການບັນທຶກບົດສົນທະນາທາງໂທລະສັບ ລາວໄດ້ເຜີຍແຜ່ໃນເວັບໄຊ blog ຂອງລາວ. | 6 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
-0.22181648015975952,
0.21142923831939697,
-0.3298195004463196,
-1.186234951019287,
-0.16213157773017883,
-0.6076627969741821,
0.5615054965019226,
0.5275315642356873,
-0.30437204241752625,
-0.5062474608421326,
0.11077092587947845,
0.23819036781787872,
-0.8779790997505188,
-0.17106631398200... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | Something that tapeworms do not have breaks food into nutrients for the body. | 0 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.4038105010986328,
0.8437626361846924,
-0.5077354311943054,
0.29800906777381897,
-0.46367302536964417,
-0.8376075625419617,
-0.3255859613418579,
0.7100704908370972,
-0.8702751994132996,
0.08920939266681671,
-0.7349342703819275,
0.040513359010219574,
-1.0362529754638672,
0.1768609285354614... |
Given a sentence in Vietnamese, generate a new Vietnamese 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 o... | Bạn có thể sử dụng một bút để viết trên giấy. | 3 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
0.051454976201057434,
-0.1022646576166153,
-0.0734882801771164,
-0.13639101386070251,
0.333360493183136,
-1.0737354755401611,
0.2141745239496231,
1.4164948463439941,
0.06797754764556885,
0.28875231742858887,
-0.6212303638458252,
0.31098368763923645,
0.4248299300670624,
-0.4809936285018921,... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Q: Aqui temos Diógenes com sua lanterna.
A: | هنا لدينا "" ديوجين "" مع فانوسه. | 4 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
-0.0959240198135376,
1.2148778438568115,
-0.26964271068573,
-1.1775100231170654,
-0.7913303375244141,
-0.40551432967185974,
0.4586503505706787,
0.5547094345092773,
0.961955726146698,
0.09200567752122879,
-0.12378768622875214,
0.46524497866630554,
-0.8324995040893555,
0.2940436005592346,
... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: אבל למעשה היו לי 10 אחוזים מהתקציב הזה.
Student: | でも実際の予算はその１割でした | 6 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.358875572681427,
0.28028804063796997,
0.18899211287498474,
-0.520614743232727,
-0.4367714524269104,
-0.508709192276001,
1.0554745197296143,
0.46746188402175903,
0.8697816133499146,
-0.918550968170166,
-0.03619500249624252,
0.37423911690711975,
-1.014446496963501,
-0.3203219771385193,
... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | no | 0 | NIv2 | task211_logic2text_classification | zs_opt | [
0.07018157094717026,
-0.2201935052871704,
-0.33693885803222656,
0.24608853459358215,
0.3713287115097046,
-0.5853086113929749,
0.18580321967601776,
0.5313199162483215,
0.3084832429885864,
-0.06037352606654167,
-0.4378530979156494,
-0.06611335277557373,
0.17462053894996643,
0.542125225067138... |
Detailed Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update pro... | strengthener | 8 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
-0.034416042268276215,
0.3840334713459015,
-0.050270646810531616,
-0.47563010454177856,
-0.26587438583374023,
-0.8248155117034912,
1.471222996711731,
0.6535462737083435,
0.559609055519104,
-0.6634538173675537,
-1.278397560119629,
-0.7037415504455566,
-0.45236414670944214,
0.132440716028213... |
Detailed Instructions: In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation retu... | -417 | 8 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
0.26744920015335083,
0.5290498733520508,
-1.1336393356323242,
0.1959819197654724,
-0.4336932301521301,
-0.4664350152015686,
0.3513000011444092,
1.7345397472381592,
0.8650768399238586,
0.1418939083814621,
-0.30479973554611206,
-0.5825425386428833,
0.4661884903907776,
-0.1095745861530304,
... |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
See one example below:
Problem: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution: អ៊ីតាលីបានឈ្នះ... | ការតវ៉ារបស់ហ្គោលម៉េនបានអះអាងថាគាត់ត្រូវបានទទួលការរើសអើងក្នុងការបំពានលើច្បាប់សិទិ្ធមនុស្សតំបន់កូឡុំប៊ី។ | 4 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
0.10630989074707031,
0.40066957473754883,
-0.7922844886779785,
0.11767330765724182,
-0.0816417708992958,
-0.644245982170105,
0.43489450216293335,
0.6577470302581787,
-0.2908848524093628,
-0.19568654894828796,
-1.0493111610412598,
0.6214199662208557,
-0.7211542129516602,
0.6974200010299683,... |
The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi 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 colloquia... | رستورانهایی که امتیاز بالاتر از 7 داشتند را نمایش بده.
****
| 4 | NIv2 | task172_spl_translation_en_fa | fs_opt | [
-0.37744733691215515,
0.5388181209564209,
0.04878878965973854,
-0.07232196629047394,
-0.17603430151939392,
0.09926000237464905,
1.0143474340438843,
0.3394348621368408,
-0.03671160340309143,
-0.16343456506729126,
-0.05923433229327202,
0.1532846987247467,
-0.2969357371330261,
0.8761194944381... |
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 intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements that are und... | No | 7 | NIv2 | task607_sbic_intentional_offense_binary_classification | zs_opt | [
-0.7687941789627075,
0.06075973063707352,
0.7928938865661621,
0.5677129030227661,
0.13437481224536896,
-0.3979416489601135,
-0.04804256185889244,
0.5657938718795776,
0.4197455942630768,
0.3547202944755554,
-0.11970730125904083,
-0.8345339298248291,
-0.4874177575111389,
-0.5651048421859741,... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | blue_cupboard | 9 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
0.11371564120054245,
0.18573662638664246,
-0.16796189546585083,
-0.2772881090641022,
-0.25819313526153564,
-0.30039310455322266,
0.29909199476242065,
0.7226718068122864,
0.009916629642248154,
-0.3782878816127777,
-0.1343744695186615,
0.5637038946151733,
-0.07868126779794693,
0.178124189376... |
Detailed Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the... | Alcohol. | 8 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.3512147068977356,
0.6102883815765381,
-0.7133628726005554,
1.0234994888305664,
-0.039377469569444656,
-0.39358288049697876,
1.07928466796875,
0.9501330852508545,
0.20930856466293335,
0.7470213174819946,
0.0634741261601448,
-0.10898968577384949,
-0.7217463254928589,
0.10391796380281448,
... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Persian.
Input: And so to find one, a guy like that, you hang on to him.
Output: | و وقتی کسی را پیدا می کنیم — کسی مثل ایشان ، نمی خواهیم که از دستشان بدهیم. | 2 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
0.2965826690196991,
0.8253742456436157,
0.2027614712715149,
-0.46294835209846497,
-0.4959956407546997,
-0.3967612385749817,
0.6529029011726379,
0.46717286109924316,
0.20642849802970886,
-0.01381661556661129,
-0.7196846604347229,
0.6547911763191223,
-0.6732994914054871,
0.17008912563323975,... |
Given a sentence in Hindi(hi), give the translation of the sentence in English(en) as output
Example input: आप सबको दीपावली की बहुत बहुत शुभकामनाए
Example output: On the pious festival of Deepawali, greetings to all of you.
Example explanation: The translation was accurate, so we can say that the translation was succe... | The government is also playing its role. | 3 | NIv2 | task1655_mkb_translation | fs_opt | [
-0.7111462950706482,
0.38908326625823975,
0.378181517124176,
-0.30049726366996765,
-0.09272795170545578,
-1.473726749420166,
0.04018178954720497,
0.42217811942100525,
-0.18964679539203644,
-0.3865090608596802,
-0.6867870092391968,
0.3274877965450287,
0.23828814923763275,
0.7719854116439819... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write ... | Lucy want(s) success >Motivates> Lucy tries out for cheerleader | 9 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.4785967767238617,
0.21766790747642517,
-0.08995810151100159,
0.16231085360050201,
-0.0021237663459032774,
-0.6324561834335327,
0.18710613250732422,
0.42052650451660156,
-0.22211921215057373,
0.025290975347161293,
-0.14855358004570007,
-0.01691829040646553,
-0.3735731542110443,
-0.080580... |
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.
Q: PC Karen Bloor was first diagnosed in 2014 and started raising money for Breast Cancer Care the following year. Her Just Giving page said the canc... | Police 'following' driver before fatal Wakefield crash
****
| 4 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.10969749093055725,
0.21770258247852325,
-1.054351568222046,
0.19748646020889282,
0.45314639806747437,
-0.317899227142334,
0.08571833372116089,
0.6242861747741699,
-0.6547145843505859,
-0.0939895361661911,
-0.005662756972014904,
0.9603896141052246,
-0.6393575668334961,
0.9098501205444336,... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Input: Consider Input: It records the annual rise and fall of greenhouse gases and temperatures going back before the onset of the last ice ages.
Output: הוא מתעד את העליות והירידות העונתיות ברמתם של גזי החממה והטמפרטורות ... | Output: זה בית שנעשה כולו מעוגיות פירות.
| 2 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
-0.5021189451217651,
0.1031118780374527,
-0.2842842936515808,
0.41058963537216187,
-0.009322185069322586,
-0.7442915439605713,
-0.3039252460002899,
0.21641772985458374,
-0.24405056238174438,
-0.44978952407836914,
-0.25837069749832153,
0.48293501138687134,
-0.7601233720779419,
0.32522708177... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a diff... | Dissimilar | 1 | NIv2 | task1645_medical_question_pair_dataset_text_classification | zs_opt | [
-0.5844853520393372,
0.3546823561191559,
-0.23448652029037476,
-0.6768971085548401,
-0.007715300656855106,
-0.04513593763113022,
0.968410849571228,
0.6427038908004761,
0.6743858456611633,
0.12438903003931046,
-0.6353298425674438,
-0.5788238048553467,
-0.009219354018568993,
0.36665168404579... |
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".
Q: (CNN) -- Tito Joseph "TJ" Jackson, who on Wednesday was named temporary guardian of Michael Jackson's three ... | Yes | 4 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.42825791239738464,
0.6199069619178772,
-0.856369137763977,
0.539010763168335,
0.6751686334609985,
-0.13391171395778656,
1.172620177268982,
1.003579020500183,
-0.4915403127670288,
0.7309439182281494,
0.08546297997236252,
0.7296526432037354,
-0.6412159204483032,
0.19328910112380981,
0.48... |
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