inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Q: [[-123, -34, -48... | [-34, 61, -26, 22, 66, 28, 59, 45, 74] | 4 | NIv2 | task207_max_element_lists | zs_opt | [
0.05549506098031998,
0.02245313674211502,
-0.6984745264053345,
0.2312016487121582,
0.08042173832654953,
0.4526009261608124,
0.8122396469116211,
-0.030609095469117165,
0.08744647353887558,
-0.15182854235172272,
-0.6353898644447327,
0.15879902243614197,
-0.09410777688026428,
-0.0114060267806... |
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... | Princess Royal makes first visit after Prince Philip's death | 1 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.25963547825813293,
0.6542384028434753,
-0.08404070138931274,
-0.6310784816741943,
0.6938952207565308,
-0.5876119136810303,
0.21282106637954712,
0.9568693041801453,
-0.5052165985107422,
0.3867141008377075,
0.5581859350204468,
0.461101233959198,
0.29320478439331055,
0.39463168382644653,
... |
Given the task definition and input, reply with output. 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: 'two elephants are standing next to some rocks'. How many words end with the letter 'e' in the sentence.
| 2 | 5 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
-0.23419412970542908,
0.7573515772819519,
0.28526079654693604,
-0.18949466943740845,
-0.7150682210922241,
-0.33189719915390015,
0.10464589297771454,
0.2727723717689514,
0.10261855274438858,
-0.661005437374115,
-0.29449865221977234,
0.23935425281524658,
-0.6120174527168274,
-0.1974941492080... |
Teacher: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions... | 3a, 5b | 2 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.22305577993392944,
0.0199689120054245,
-0.07710365951061249,
0.47158896923065186,
0.25381356477737427,
0.08505872637033463,
0.020577533170580864,
1.042356014251709,
-0.30911171436309814,
0.35823434591293335,
-0.6275103092193604,
0.005783611908555031,
0.12712478637695312,
-0.3936659395694... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
[Q]: [79.04, 110.342, 208.846, 132.702, 48.832,... | 123.421
| 5 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.4556688964366913,
0.5433418154716492,
-0.8823201656341553,
-1.6076469421386719,
-0.15786723792552948,
0.1762620508670807,
0.5850914120674133,
0.15687744319438934,
-0.31487026810646057,
-0.05805039778351784,
-1.1942214965820312,
0.4933420419692993,
-0.5940335988998413,
0.1291804164648056... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientatio... | Non-identity-attack | 2 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.4705633521080017,
0.6425626277923584,
0.5950932502746582,
0.15880586206912994,
-0.4664345383644104,
0.19114238023757935,
1.18902587890625,
-0.1570357382297516,
0.8077065348625183,
0.11986276507377625,
0.04369886964559555,
-0.01674681529402733,
-0.8148418664932251,
-0.7111804485321045,
... |
Teacher: You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Solutio... | It seemed, at that time, to be a sea of Eden, but now we know, and now we are facing paradise lost. | 2 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.26081931591033936,
0.7301205992698669,
0.4237285256385803,
-0.8244215250015259,
-0.31349995732307434,
-0.8456019163131714,
-0.3213569223880768,
1.2302074432373047,
0.18235543370246887,
0.19487887620925903,
0.1780950278043747,
0.6416913270950317,
-1.0351582765579224,
-0.20734593272209167... |
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... | No
| 6 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
0.022130543366074562,
0.23392146825790405,
0.28935009241104126,
-0.45844921469688416,
-0.34141889214515686,
-1.161849021911621,
0.9493722915649414,
0.6370417475700378,
-0.4424208402633667,
-0.49203383922576904,
-0.305115282535553,
-0.404336541891098,
-0.5902949571609497,
0.1211864575743675... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Input: Czego potrzebujemy, by to wykorzystać? Przede wszystkim - środków.
Output: | Que fai falla para sacar proveito deles? Primeiro, recursos. | 2 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.42162787914276123,
1.2162177562713623,
-0.5746561884880066,
-0.5174423456192017,
-0.1790713518857956,
-1.0887904167175293,
0.8738315105438232,
-0.08028814196586609,
0.14275336265563965,
-0.24301114678382874,
-0.6035493612289429,
0.35763901472091675,
-0.42314714193344116,
0.2663858532905... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: ऋणदाता फिर इन मॉर्गेज को ऋण के लिए संपार्श्विक के रूप में बंडल करते हैं, ... | Peberdy is seen in a photo with Araya buying grain.
****
| 4 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-0.5634896755218506,
0.307466983795166,
0.6817716360092163,
-0.326458603143692,
0.18390300869941711,
-0.1933276355266571,
-0.010897389613091946,
0.6333019733428955,
-0.31700748205184937,
-0.026809625327587128,
-1.04069185256958,
-0.07120826840400696,
-0.7649747729301453,
0.1836898773908615... |
Definition: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an ... | What 's the most likely reason they chose to eat where they did ? | 2 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.22340121865272522,
0.14752359688282013,
-0.13538673520088196,
0.06639158725738525,
-0.45155662298202515,
0.03169156610965729,
0.2407839298248291,
0.2127131223678589,
-0.026278311386704445,
-0.1207321435213089,
-0.3466399312019348,
-0.19051221013069153,
-0.5037072896957397,
0.554718613624... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['x', '3', '4'], ['x', '3', 'B'], ['x', '4', 'B'], ['3', '4', 'B']]
| 5 | NIv2 | task208_combinations_of_list | fs_opt | [
0.2537388205528259,
0.39292246103286743,
-0.3172590136528015,
0.4328708350658417,
0.5407707691192627,
-0.44099441170692444,
0.5770509243011475,
0.8879375457763672,
-0.22409096360206604,
-0.11470288783311844,
-0.6628104448318481,
0.09064117819070816,
0.201891228556633,
-0.13552546501159668,... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Q: E é isto que as empresas têm de fazer: apostar tudo, ir aos 100%, porque depois param de investir em coisas velhas, investem em coisas novas, baixam-se custos, usam a sua cadeia de abastecimento e a sua criatividade... | Tak muszą zrobić przedsiębiorstwa: zaangażować się na 100%, przestać inwestować w stare, bo dopiero inwestując w nowe, tniesz koszty, wykorzystujesz łańcuch dostaw i kreatywność, obniżasz ceny, tak żeby wszyscy mogli kupić najlepsze oświetlenie i oszczędzać energię. | 4 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.7300925254821777,
1.1107779741287231,
-0.047975603491067886,
0.026909368112683296,
-0.20421746373176575,
-0.35322806239128113,
0.9592181444168091,
0.21199467778205872,
0.42570722103118896,
-0.41092413663864136,
-0.3345869779586792,
0.6226188540458679,
0.09398810565471649,
0.331820309162... |
The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the followin... | “With respect to the joint profession of their faith as manifested in studying the Bible, answering questions on Bible topics and singing songs that are also based on Bible texts, it is clear that Jehovah’s Witnesses make a concerted effort to base everything on the Bible. | 0 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.3519069254398346,
0.41381263732910156,
-0.03772754594683647,
0.4604628384113312,
0.2503478229045868,
-0.7822229266166687,
0.40124666690826416,
0.5596946477890015,
0.12908996641635895,
0.10175435990095139,
-0.028301505371928215,
0.38744789361953735,
-0.6916953325271606,
0.053892754018306... |
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.
Problem:Mohapatraは、５月１日に出されたIMDの最初の警告速報がサイクロンによって襲われそうな地域を示したと、言う。
Solution: | ម៉ូហាប៉ាត្រានិយាយថាសេចក្តីប្រកាសពត៌មានទីមួយរបស់អាយអេមឌី បានចេញនៅថ្ងៃទី1ខែឧសភា បានបង្ហាញថាតំបន់ដីគោកអាចទទួលរងផលប៉ៈពាល់ដោយសារព្យុះស៊ីក្លូន។ | 8 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
-0.0076334779150784016,
0.2050037384033203,
-0.19810420274734497,
-0.679904580116272,
0.0016970473807305098,
-0.7003738880157471,
0.2601810097694397,
-0.022906126454472542,
-0.32763540744781494,
-0.22561372816562653,
-0.9932652711868286,
-0.36487114429473877,
-1.02996826171875,
0.394664347... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | tv | 0 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.2963029444217682,
0.32182610034942627,
0.16298910975456238,
-0.09305520355701447,
0.7011385560035706,
-0.3053896427154541,
-0.006363189313560724,
0.06063758209347725,
-0.15120908617973328,
-0.34132641553878784,
-0.11269153654575348,
0.025193877518177032,
-0.5071941614151001,
-0.44849783... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Example input: passage: Franchising is a way for small business owners to benefit from the economies of scale of the big corporation (franchiser). McDonald's and S... | Yes | 3 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
-0.6977742910385132,
0.591088593006134,
-0.2510421872138977,
-0.11117414385080338,
0.1571674644947052,
0.25788888335227966,
0.5449926853179932,
1.0027811527252197,
0.06719383597373962,
-0.05649407207965851,
-0.7373120188713074,
0.22342145442962646,
-0.20654630661010742,
-0.3670260608196258... |
Definition: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Input: Context: Rome is a city and special "comune" (named "Roma Capitale") in Italy. ... | carolina hurricanes | 2 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.8993234038352966,
0.357374906539917,
-0.22479528188705444,
0.11899645626544952,
0.9112074971199036,
-0.5911774635314941,
0.39478689432144165,
1.0492156744003296,
-0.2250588834285736,
0.5150774717330933,
0.5259616374969482,
1.2299941778182983,
-0.6559103727340698,
0.3616313934326172,
-0... |
TASK DEFINITION: In this task, you will be presented with a question having multiple possible answers in German language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
PROBLEM: Question: Was kann übermäßiger Alkoholkonsum bis hin zur Vergiftung veru... | E
| 8 | NIv2 | task1138_xcsr_de_commonsense_mc_classification | fs_opt | [
0.23185279965400696,
0.7595946788787842,
-0.07450276613235474,
-0.42512768507003784,
-0.509903609752655,
0.020809821784496307,
1.457046389579773,
0.6542935371398926,
0.2625468373298645,
0.21932777762413025,
0.05163588374853134,
-0.09071134030818939,
-0.6427940130233765,
-0.2071428745985031... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Gujarati: ચ... | Yes | 1 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-1.297487497329712,
0.8690536618232727,
0.24368242919445038,
0.3220858573913574,
-0.1273598074913025,
-0.4515182375907898,
0.11898428946733475,
-0.29842638969421387,
-0.15585267543792725,
-0.3581274747848511,
-0.38072460889816284,
0.5721340179443359,
0.09462659806013107,
-0.091884076595306... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in 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: Existential there, FW: Foreign word, IN: Preposi... | Solution: WP VBZ DT JJ NN NN IN DT NNP CD WP VBZ DT JJ NN VBN IN VBG NNP NNP IN DT JJ JJ NN NNP . | 5 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
-0.20418781042099,
0.609830915927887,
-0.34804219007492065,
0.4822557270526886,
0.269907683134079,
-0.3733938932418823,
0.499688059091568,
0.6633090972900391,
-0.01897466741502285,
-0.24169838428497314,
-0.48260918259620667,
0.14928466081619263,
-0.48497146368026733,
-0.5716152787208557,
... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
See one example below:
Problem: وقتی به این جامعه های در حال توسعه می روید زنها رکن اصلی اجتماعشان هستند ولی هنوز این مردها هستند که خیابون ها رو در دست دارند.
Solution: Cando chegas a estas sociedades... | A idade media dos nosos compañeiros é de 28, polo que son, mal que me pese, case unha xeración máis vella ca maioría deles. | 4 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-1.2037887573242188,
1.030495285987854,
-0.11357884109020233,
-0.3946000635623932,
0.019733384251594543,
-0.4377288222312927,
0.40919286012649536,
1.230543851852417,
-0.033810824155807495,
0.40960949659347534,
-1.2569947242736816,
0.7139572501182556,
-0.9410706758499146,
0.0634196102619171... |
TASK DEFINITION: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") sh... | [22]
| 8 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.29885390400886536,
-0.017606273293495178,
-0.5830984115600586,
-0.4240720272064209,
-0.2745276689529419,
0.46823421120643616,
0.4614518880844116,
0.29937148094177246,
-0.5072987079620361,
-0.19185011088848114,
-0.8895043134689331,
-0.0035669663920998573,
-0.5383472442626953,
-0.41079881... |
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Example Input: charlton heston
Example Output: Which 1959 film starring Charlton Heston won a record 11 Academy Awards?
Example Input: cervelat
Example Output: Now the national dish of Switzerland, wh... | Who wrote the songs Camptown Races and Jeanie With The Light Brown Hair?
| 3 | NIv2 | task897_freebase_qa_topic_question_generation | fs_opt | [
0.2798301875591278,
0.4239615499973297,
-0.35882872343063354,
0.17879563570022583,
0.48669445514678955,
0.10527906566858292,
0.20741209387779236,
-0.3204788863658905,
0.11778086423873901,
-1.060248613357544,
-0.2459016740322113,
-0.6958088874816895,
-0.8822914958000183,
0.0316828191280365,... |
instruction:
A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
question:
These flats once completed shall cater to the requirement of providing most comfortable accommodation to the Government Employees of... | ମହାମନା ଏକ୍ସପ୍ରେସ ସମ୍ପର୍କରେ ପ୍ରଧାନମନ୍ତ୍ରୀ କହିଥିଲେ ଯେ, 2014 ସଂସଦୀୟ ନିର୍ବାଚନରେ ସେ ଉଭୟ ବାରଣାସୀ ଓ ବଦୋଦରାରୁ ନିର୍ବାଚନ ଲଢ଼ିଥିଲେ । ଏବେ ଏହି ଦୁଇଟି ସହରକୁ ରେଳ ଯୋଗେ ପରସ୍ପର ମଧ୍ୟରେ ଯୋଡିବାର ଏହା ଏକ ସଫଳ ପ୍ରୟାସ ।
| 9 | NIv2 | task987_pib_translation_english_oriya | fs_opt | [
-0.03395760804414749,
-0.026431364938616753,
-0.5769361853599548,
-0.3203746974468231,
0.7131446599960327,
-0.5577070713043213,
1.239851951599121,
0.9191867709159851,
-0.30066394805908203,
0.2678413689136505,
-0.41831332445144653,
-0.12092728912830353,
-0.6082596778869629,
0.51396024227142... |
Teacher: In this task, you need to count the occurrences of the given word in the given sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: 'the brown cat sits perched on atop of the bed peering forward'. Count the occurrences of the word 'the' in the given se... | 3 | 2 | NIv2 | task158_count_frequency_of_words | fs_opt | [
0.28310418128967285,
0.4949381351470947,
-0.5479578971862793,
-0.030403781682252884,
-0.2095065414905548,
-0.21671316027641296,
-0.49321091175079346,
0.7504689693450928,
0.024095192551612854,
0.1061583161354065,
-0.6438014507293701,
0.012611625716090202,
-0.09813039004802704,
-0.0881735235... |
Teacher: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Solution: 父が医師だったので父... | 彼らに共通しているのは、いくつかの種類の細かい生活習慣を皆、生涯を通じて儀式的に行っていることです | 2 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.22198548913002014,
-0.10888240486383438,
-0.3787717819213867,
-0.40156233310699463,
0.11586296558380127,
-0.0066607133485376835,
0.09847044199705124,
0.5883564352989197,
-0.09719434380531311,
-0.3642328083515167,
-0.46621400117874146,
0.001651603844948113,
-0.2833816409111023,
-0.217759... |
Definition: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Input: What is the capital of the U.S. state of Connecticut?
Output: | connecticut | 2 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.7042351961135864,
0.6622351408004761,
-0.33626866340637207,
-0.06409046798944473,
-0.8770552277565002,
-0.8533642292022705,
0.06538164615631104,
0.2333267331123352,
-0.04130687564611435,
-0.4874127507209778,
-0.7553048729896545,
0.4850137233734131,
-0.9988317489624023,
0.5577567219734192... |
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. You have to... | Yes
****
| 4 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.534344494342804,
0.02844877913594246,
0.05717092007398605,
0.06702804565429688,
-0.4419136643409729,
-1.0219905376434326,
1.8052148818969727,
0.33445465564727783,
-0.4839420020580292,
-0.4703003168106079,
-0.30711525678634644,
-0.3636252284049988,
-1.2010478973388672,
0.5381178855895996,... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Inoltre, la salamoia prodotta spesso viene ripompata in mare,
Student: | さらに取り出された苦汁は大抵海に送り返されますが | 6 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.5523301362991333,
0.5077348947525024,
-0.32308879494667053,
-0.7378854155540466,
-0.24901121854782104,
-0.5251002907752991,
-0.5857301950454712,
0.7942245602607727,
-0.3709932565689087,
-0.32878541946411133,
0.4311943054199219,
-0.15499451756477356,
-0.7288398146629333,
0.04504504799842... |
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... | Một đứa trẻ có thể ký tên vào cha nó. | 4 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
0.04127832502126694,
0.4295623302459717,
-0.29648852348327637,
-0.44282427430152893,
-0.7883353233337402,
-0.8661046624183655,
1.428450107574463,
1.438808560371399,
-0.5559188723564148,
-0.09934446215629578,
-0.46959739923477173,
0.5407302379608154,
-0.9836116433143616,
-0.0733360648155212... |
Detailed Instructions: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | You can resize a feature to carry phone conversations . | 9 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.450468510389328,
0.6669355630874634,
-0.3292560279369354,
-0.7621279358863831,
0.1353733390569687,
-0.8046797513961792,
0.35417360067367554,
0.545613169670105,
-0.07166118919849396,
-0.23005038499832153,
-1.045702576637268,
0.5036001801490784,
-0.08847931772470474,
0.1515934318304062,
... |
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".
One example is below.
Q: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられ... | Yes | 9 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.4249795079231262,
0.2524315118789673,
0.1545289307832718,
0.27452385425567627,
0.07442988455295563,
-0.47534170746803284,
0.37829187512397766,
-0.5825680494308472,
0.08244797587394714,
-0.032203949987888336,
-0.016079338267445564,
0.8230704069137573,
-0.26723092794418335,
0.897860705852... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'... | No | 1 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
0.13102927803993225,
0.10051185637712479,
0.11892643570899963,
-0.46507421135902405,
0.13327471911907196,
-0.48208481073379517,
0.6997976303100586,
0.5775370597839355,
0.39229315519332886,
0.5561553835868835,
-0.15729565918445587,
-0.1262546181678772,
-0.6027804017066956,
-0.17144826054573... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, ot... | False | 1 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.4269278943538666,
0.37749117612838745,
-0.17155049741268158,
0.3580007553100586,
0.010688448324799538,
0.21348333358764648,
0.7769263386726379,
0.33875274658203125,
0.07700800150632858,
0.538988471031189,
-0.42314934730529785,
0.04964175820350647,
-0.2980886697769165,
-0.139928758144378... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Teammates throw balls to someone who drops them in a bucket beside third base.
Now as we rove over a river toward a city, words appear.
The girl braids her hair together in french ... | A person tries to get in the sailboat where there is a man.
| 0 | NIv2 | task455_swag_context_generation | fs_opt | [
0.4441571831703186,
0.6416787505149841,
-1.180311918258667,
-0.2483154535293579,
-0.023734457790851593,
0.0650235116481781,
0.6678228974342346,
0.35413995385169983,
0.03605957701802254,
-0.46978896856307983,
-0.17397795617580414,
0.6028093099594116,
-0.36072689294815063,
-0.625909566879272... |
Given the task definition, example input & output, solve the new input case.
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Exam... | Burgundy. | 1 | NIv2 | task002_quoref_answer_generation | fs_opt | [
1.2082931995391846,
0.23630541563034058,
-0.5338661074638367,
0.3944922387599945,
0.8851207494735718,
-0.25327035784721375,
0.3924640417098999,
0.9087387323379517,
0.10613101720809937,
0.04799225181341171,
0.04803711920976639,
1.10072660446167,
-0.2268977165222168,
0.17240643501281738,
-... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Input: Organizar este proyecto llevó unos 10 años.
Output: | Zmontowanie projektu zajęło jakieś 10 lat. | 2 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.06303467601537704,
0.6679033041000366,
-0.7091832756996155,
0.1003800556063652,
-0.12830711901187897,
-0.2882648706436157,
0.44297534227371216,
-0.48171770572662354,
0.801541268825531,
-0.02761305868625641,
-0.47624701261520386,
0.1955689638853073,
-0.40226149559020996,
0.23765537142753... |
Detailed Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Q: Article: us insurance titan aig faced collapse and leading bank shares around the world plunged tuesday a... | no | 9 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.9158481955528259,
0.4494468569755554,
0.5579468011856079,
0.3909452557563782,
0.1033446192741394,
-0.545687735080719,
0.5247006416320801,
0.8893015384674072,
-0.11552959680557251,
0.41222313046455383,
-0.36432820558547974,
0.26187795400619507,
-0.5851396322250366,
0.6647243499755859,
... |
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Q: Sentence1: My husband refused to eat spaghetti. Sentence2: He told me he liked it but wouldn't eat it. Sentence3: I asked him why he wouldn't eat it. Sentence4: He ... | I (myself), Husband, His dad | 4 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.23969125747680664,
0.2801344394683838,
0.317588746547699,
-0.009049814194440842,
0.18868762254714966,
-0.31881457567214966,
0.4983961284160614,
0.5117114782333374,
0.4254423677921295,
-0.2468048334121704,
-0.519631028175354,
-0.1647263467311859,
-0.692857027053833,
-0.14563310146331787,
... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
天井の格子や照明を構成する部材は － それらの個体寸法等の質を失いながら － ますます細分化された寸法に移行します
| The elements that make up the ceiling grid and the lighting, they're all losing their modular quality, and moving more and more to these infinitesimal dimensions. | 5 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.8063429594039917,
0.387268602848053,
0.20655792951583862,
-0.2880055904388428,
0.25519368052482605,
-0.7472739219665527,
-0.08950288593769073,
0.2747310996055603,
-0.44020894169807434,
-0.17923668026924133,
-0.10590735822916031,
0.2530342936515808,
-0.8858855366706848,
0.720454752445221... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
[EX Q]: Sentenc... | eukaryotes
| 6 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.09868978708982468,
0.8702365159988403,
-0.006399877369403839,
-0.29280710220336914,
-0.2725314199924469,
-0.469769150018692,
0.33501994609832764,
0.8221145272254944,
-0.36362019181251526,
-0.26184993982315063,
-0.6929333209991455,
0.03469778597354889,
-0.840401291847229,
0.46047610044479... |
Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less t... | X, u | 4 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
-0.2632000148296356,
-0.10953900963068008,
-0.5028162598609924,
-0.4069439172744751,
0.1275366246700287,
-0.44929784536361694,
0.4896152913570404,
-0.18517839908599854,
-0.3222883939743042,
0.31452643871307373,
-1.0701254606246948,
-0.012794189155101776,
0.2697269022464752,
-0.025888085365... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Teacher: Now, understand the problem? Solve this instance: A toaster is decorated with kitchen utensils to have a sad expression.
Student: | એક ટોસ્ટર એક ઉદાસી અભિવ્યક્તિ માટે રસોડું વાસણો સાથે શણગારવામાં આવે છે. | 6 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
-0.2497662901878357,
0.34707581996917725,
0.11806420981884003,
-0.5726059675216675,
0.44203051924705505,
-0.8336002826690674,
-0.004144685342907906,
0.388877272605896,
-0.04994766041636467,
-0.41073569655418396,
0.3233644366264343,
0.11618702113628387,
-0.6401904821395874,
-0.0771697461605... |
Definition: Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Input: Question: What are the outer-shell electrons of an atom called? Answer: valence electrons
Output: | Valence electrons are the outer-shell electrons of an atom. | 2 | NIv2 | task593_sciq_explanation_generation | zs_opt | [
0.45328083634376526,
1.1565687656402588,
-0.2823980450630188,
0.27367478609085083,
-0.2948411703109741,
-0.7247554063796997,
0.3654554486274719,
0.658105731010437,
0.3571901321411133,
0.30043452978134155,
-0.12866145372390747,
0.17531761527061462,
-0.4588318169116974,
0.5181067585945129,
... |
Given the task definition and input, reply with output. Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
คาดีรอฟไม่ได้มาขึ้นศาล แต่ นายอันเดร คราสเนนคอฟ ผู้ซึ่งเป็นทนายของเขาก็ไม่เบิกตัวพยานขึ้นมาให... | カディロフは法廷に現れなかったが、弁護士のアンドレイ・Krasnenkovは、被告側からの証人を呼ぶことも尋問することもなかった。 | 5 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.5291759371757507,
0.34279757738113403,
-0.1571679711341858,
-0.7064462900161743,
-0.3219854533672333,
0.32353752851486206,
0.8732603788375854,
0.20004378259181976,
0.04993974417448044,
-0.5142452716827393,
-0.4994770586490631,
0.48514029383659363,
-1.4902740716934204,
0.8287221789360046... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example input: Tweet: @justinchuan Awww! I was thinking about you lo... | yes | 3 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.2033451795578003,
0.21293248236179352,
0.21962228417396545,
0.22603869438171387,
0.11790778487920761,
-0.8651523590087891,
0.05678606033325195,
0.41381627321243286,
0.1406402885913849,
0.32255125045776367,
-0.4713376462459564,
-0.090306356549263,
-0.26127195358276367,
-0.281242132186889... |
Teacher:In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
T... | Non-identity-attack | 6 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.9186203479766846,
0.35836777091026306,
0.6523223519325256,
0.475336492061615,
-0.05318218469619751,
-0.6256580352783203,
0.03001018427312374,
0.09335194528102875,
0.8629908561706543,
0.06538158655166626,
0.261502206325531,
-0.25748616456985474,
-0.39728185534477234,
-1.0156861543655396,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Q: Gdy insulina każe komórce spalić więcej energii niż komórka uważa za bezpieczne, komórka odpowiada: "" Nie, wolę przechować energię "".
A: Y ahora, cuando la insulina le dice a una célula, "" Quiero que quemes más energí... | La gente, para que la ley sea la plataforma de la libertad, la gente tiene que confiar en ella.
****
| 4 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.833899736404419,
1.3110146522521973,
-0.2018706053495407,
-0.9476980566978455,
-0.642094612121582,
-0.6085708737373352,
0.33875781297683716,
0.33505508303642273,
0.16620030999183655,
-0.4609608054161072,
-0.2109185755252838,
0.28477755188941956,
-0.6020819544792175,
0.022924546152353287... |
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 before t2, t1... | False
| 3 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
-0.08577236533164978,
0.06005276367068291,
-0.8304765820503235,
0.5193428993225098,
-0.1769743710756302,
-1.0344136953353882,
-0.3303343653678894,
0.9186956286430359,
-0.7554887533187866,
0.14731548726558685,
-0.4809105694293976,
0.045181941241025925,
0.0007779469015076756,
-0.374568551778... |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
--------
Question: ਸੜਕੀ ਆਵਾਜਾਈ ਅਤੇ ਰਾਜਮਾਰਗ ਮੰਤਰਾਲਾ
Answer: റോഡ് ഗതാഗത, ഹൈവേ മന്ത്രാലയം
Question: 53 ਕਰੋੜ ਲੋਕਾਂ ਦੀ ਐੱਨਸੀਡੀਜ਼ ਲਈ ਸਕ੍ਰੀਨਿੰਗ ਹੋ ਚੁੱਕੀ ... | മുദ്രാ യോജനയ്ക്ക് കീഴില് 13 കോടി വായ്പകളാണ് നല്കിയതെന്ന് പറഞ്ഞ പ്രധാനമന്ത്രി, ഇവയില് നാല് കോടി വായ്പകളും വിതരണം ചെയ്തത് ആദ്യമായി ഗുണഭോക്താക്കളായവര്ക്കാണെന്ന് ചൂണ്ടിക്കാട്ടി.
| 7 | NIv2 | task1006_pib_translation_punjabi_malayalam | fs_opt | [
-0.39936932921409607,
-0.41140565276145935,
0.42613470554351807,
-0.8008170127868652,
-0.16542133688926697,
0.12632633745670319,
0.5933294296264648,
0.5328457355499268,
-0.20058609545230865,
0.11029607802629471,
-0.4725884199142456,
0.13564512133598328,
-0.2293536365032196,
0.1542951166629... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Q: Kanye xa inqanawa ijonge emoyeni ixhoba malonyulwe.
A: | Only when the boat is downwind of the man is he hauled in. | 4 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | zs_opt | [
1.1051745414733887,
1.4058958292007446,
0.41507190465927124,
-0.7904006838798523,
-0.44805318117141724,
-0.8521217107772827,
0.08885897696018219,
0.4275406002998352,
0.5207607746124268,
-0.30568015575408936,
-0.14331892132759094,
-0.18839335441589355,
-0.9041763544082642,
-0.10903746634721... |
Teacher: In this task, you need to replace a letter in the sentence with another given letter.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Solution: gr... | a restaurant, with pecple eating and chefs in the backgrcund | 2 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.643589198589325,
0.7735253572463989,
-0.4883629083633423,
-1.0247864723205566,
0.21986901760101318,
-0.322259783744812,
-0.37696152925491333,
0.6619758605957031,
0.5139346718788147,
-0.2577841877937317,
-0.04302075505256653,
-0.5983777046203613,
-0.5605056881904602,
-0.5675214529037476,... |
Definition: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the ... | majority | 2 | NIv2 | task212_logic2text_classification | zs_opt | [
0.07022128999233246,
-0.3853650689125061,
-0.45525461435317993,
0.3638739585876465,
0.41616904735565186,
-0.5716311931610107,
0.7464777231216431,
0.5884210467338562,
0.480511337518692,
0.032187893986701965,
-0.1254957914352417,
0.10312560945749283,
-0.026924191042780876,
0.5768419504165649... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Example input: فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي.
Example output: A fines del verano estamo... | Tengo una sugerencia. | 3 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.6831502914428711,
0.5709434151649475,
-0.5739861726760864,
-0.14378084242343903,
-0.6872739791870117,
-0.3224291503429413,
0.8831563591957092,
0.7052249312400818,
0.4305763840675354,
-0.07857202738523483,
-0.06115076690912247,
0.27557191252708435,
-0.6726956367492676,
0.0304643455892801... |
The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the followin... | Same thing, for example, with any kind of social programs, even health programs. | 0 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.45418834686279297,
0.19322896003723145,
0.06009276211261749,
0.31395411491394043,
0.16136212646961212,
-0.758993923664093,
0.34752607345581055,
0.5293340682983398,
0.07265390455722809,
-0.5030558109283447,
-0.05604684352874756,
0.2680550515651703,
-0.6075373888015747,
0.1273075640201568... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Q: ウガッ ！
A: | اه.! | 9 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.19265122711658478,
0.40160179138183594,
-0.4338172376155853,
-1.136970043182373,
0.31071192026138306,
-0.02410910651087761,
0.7602219581604004,
-0.12594640254974365,
0.2877187132835388,
-0.5685830116271973,
-0.5815292596817017,
-0.12634603679180145,
0.2680426239967346,
-0.13722553849220... |
TASK DEFINITION: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
PROBLEM: 1, ['413', '8413', 'C', 't', '8899', 'U', '6869', '991', 'C', '7051', 'A', '1827', '391... | 5173, e
| 8 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.4651727080345154,
0.29616427421569824,
-0.8449308276176453,
-0.36494797468185425,
0.012387415394186974,
0.20233921706676483,
0.45954352617263794,
-0.07396768033504486,
-1.0203726291656494,
0.33642446994781494,
-0.6895447969436646,
-0.17799289524555206,
0.5511574745178223,
0.0140080377459... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned i... | Where do comics never appear?
| 7 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.557043194770813,
0.5137200355529785,
-0.8766542077064514,
0.26258692145347595,
0.7133480906486511,
-0.7187082767486572,
0.8993006348609924,
0.3703061044216156,
0.22218437492847443,
0.5592601299285889,
-0.2002163827419281,
0.11332672834396362,
-0.9403366446495056,
-0.2502465844154358,
0... |
instruction:
In this task, you are given dvd product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
question:
モー娘なんか嫌いだー . いやはや、さすがモー娘＋那須監督（｢デビルマン｣）。 出演者を見れば誰でもわかるようにこれはモー娘のプロモ映... | NEG
| 9 | NIv2 | task486_cls_japanese_dvd_classification | fs_opt | [
0.7213902473449707,
-0.5047457218170166,
-0.5151635408401489,
0.5706855058670044,
0.3311813175678253,
-0.1395520269870758,
1.0477845668792725,
1.0640264749526978,
-0.32262492179870605,
0.08458887785673141,
-0.1540856510400772,
-0.5042024850845337,
0.05418433994054794,
-0.08879169821739197,... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option C
| 3 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.4209734797477722,
0.14434963464736938,
-0.15475723147392273,
-0.021719569340348244,
0.11326738446950912,
0.03575245290994644,
0.34989655017852783,
0.7507683038711548,
0.14826366305351257,
-0.01851501688361168,
-0.5213234424591064,
0.07911869138479233,
0.07611408829689026,
-0.364114195108... |
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 Galician.
آنها می خواهند بهترین فرصتها را برای فرزندانشان فراهم کنند.
Output: | Queren darlles aos seus fillos as mellores oportunidades | 1 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-1.2859742641448975,
0.7121301889419556,
-0.05429469794034958,
-0.47006022930145264,
-0.594868004322052,
0.24433758854866028,
0.657625675201416,
0.7956949472427368,
0.48476850986480713,
0.03145527094602585,
-0.14907634258270264,
0.3272654414176941,
-0.2486882507801056,
0.42714783549308777,... |
Part 1. Definition
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Part 2. Example
Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Thai: รายละเอีย... | No | 7 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.2957996129989624,
-0.5337924957275391,
-0.02479122020304203,
-0.037390321493148804,
0.42540431022644043,
-0.3453716039657593,
0.16028767824172974,
-0.06321374326944351,
-0.571402907371521,
-0.047792624682188034,
-0.031039312481880188,
0.6552903652191162,
-0.018079759553074837,
0.5546255... |
In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
Q: The common denominator is the possible emergence of a disease with general b... | En vanlig gemensam nämnare är den eventuella uppkomsten av sjukdom med generella blödningar, som ofta är dödlig. | 4 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | zs_opt | [
-0.01102016493678093,
0.5748051404953003,
-0.5707395076751709,
-1.1926746368408203,
-0.11110872030258179,
-0.8832964301109314,
-0.06142010539770126,
0.6229618191719055,
0.23929889500141144,
0.138508141040802,
-0.0652461051940918,
0.7135910987854004,
-0.19736133515834808,
0.8894988298416138... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Input: But it only increased from 0.6 of one percent to 0.8 of one percent of the ocean protected, globally.
Output: | Pero é só un aumento do 0,6 do un por cento ao 0,8 do un por cento do océano protexido, a nivel mundial. | 2 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.6180577278137207,
0.9450727105140686,
-0.26865485310554504,
-1.0876045227050781,
-0.591535210609436,
-2.2678720951080322,
-0.4684840738773346,
0.7563431859016418,
-0.3589688241481781,
-0.3111211061477661,
-0.6549732089042664,
-0.4275851249694824,
-1.0557503700256348,
-0.2394025027751922... |
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... | No
| 6 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.6708475351333618,
0.2919120788574219,
0.5018912553787231,
-0.19531984627246857,
0.0406193733215332,
-0.9271655678749084,
0.8630244135856628,
0.536528468132019,
-0.45261651277542114,
-0.23185178637504578,
-0.4859057664871216,
-0.5977416038513184,
-0.403968870639801,
0.07643317431211472,
... |
Teacher:You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to ... | After PersonX won the cherry jam contest, PersonY still believed they should have won since _ sweetened with high calorie sweetener and the judges went by taste. | 6 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
-0.050736211240291595,
0.5752413272857666,
0.4365144968032837,
-1.1086227893829346,
0.09176543354988098,
-0.09146104753017426,
0.6805597543716431,
1.0070197582244873,
0.3504059314727783,
-1.0526297092437744,
-0.002644515596330166,
-0.14920024573802948,
-0.4480449855327606,
-0.1567034125328... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Foi unha década dourada para a xente coñecida como Carders.
| We had a champagne decade for people who we know as Carders. | 5 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.48381197452545166,
0.9144303798675537,
-0.6627904176712036,
-0.1967449188232422,
-0.5457481145858765,
-1.0375807285308838,
0.2511563301086426,
0.2726057767868042,
0.43335846066474915,
-0.32600873708724976,
0.24807339906692505,
0.6935615539550781,
-0.9329030513763428,
0.0704483836889267,... |
In this task you will be given a list of strings and you need to concatenate them.
[EX Q]: ['h', 'large', 'P', 'E', 'B']
[EX A]: hlargePEB
[EX Q]: ['I', 'n', 'j', 'filled', 'a', 'such', 'p', 'M', 'j', 'd', 'm']
[EX A]: InjfilledasuchpMjdm
[EX Q]: ['n', 'manner,', 'm', 'mythologies,', 'I', 'W', 'x', 'J', 'which', 'Y'... | nmanner,mmythologies,IWxJwhichYj
| 6 | NIv2 | task079_conala_concat_strings | fs_opt | [
-0.16214340925216675,
0.07632235437631607,
-0.13749469816684723,
-0.6545685529708862,
-0.4136185646057129,
-0.46300554275512695,
0.8158596754074097,
0.02888229489326477,
-0.1748535931110382,
-0.5208377242088318,
-0.9633525609970093,
-0.11603960394859314,
-0.3456299304962158,
-0.51773881912... |
Detailed Instructions: In this task, you need to provide the correct option for a given problem on probability from the provided options.
See one example below:
Problem: Problem: in a throw of a coin find the probability of getting a tail ?
Options: a ) 1 / 2 , b ) 1 / 3 , c ) 1 / 4 , d ) 2 / 5 , e ) 2 / 7
Solution: a... | e | 4 | NIv2 | task1424_mathqa_probability | fs_opt | [
-0.4870191216468811,
0.45230698585510254,
-0.4084247350692749,
0.029981229454278946,
-0.5162644982337952,
-0.09468071907758713,
0.9824042320251465,
1.07413649559021,
0.05477216839790344,
0.43912994861602783,
-0.46943268179893494,
0.39151865243911743,
-0.034290943294763565,
-0.3013353049755... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Q: Who was the Roman equivalent of the Greek Goddess Artemis?
A: | artemis | 4 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.6762306094169617,
1.6272435188293457,
-0.22399017214775085,
0.07081280648708344,
-0.8451532125473022,
-0.5849030017852783,
-0.11000967025756836,
0.4028362035751343,
1.1057250499725342,
-0.20176853239536285,
-0.6044615507125854,
0.8172338604927063,
-0.8282830715179443,
0.11110338568687439... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Q: بلکه با ایشان چنین عمل نمایید؛ مذبحهای ایشان را منهدم سازید، وتمثالهای ایشان را بشکنید و اشیریم ایشان را قطع نمایید، و بتهای تراشیده ایشان را به آتش بسوزانید.
A: And the LORD commanded us to do all thes... | And, behold, there came up out of the river seven kine, fatfleshed and well favoured; and they fed in a meadow:
****
| 4 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
0.07455392926931381,
1.1851513385772705,
-0.13346271216869354,
-0.27870485186576843,
-0.7146447896957397,
-0.3506183624267578,
0.9811003804206848,
0.15271759033203125,
-0.08493081480264664,
-0.17088085412979126,
-0.5607943534851074,
0.5221116542816162,
-0.7449862957000732,
0.16211476922035... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Norwegian Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Norwegian language... | “Det er naturlig nok, og jeg er glad for at han setter slik pris på henne. | 4 | NIv2 | task1649_opus_books_en-no_translation | zs_opt | [
-0.7989585399627686,
0.4499104619026184,
-0.10005290061235428,
0.02822425216436386,
-0.16115137934684753,
-1.004246711730957,
1.409355640411377,
-0.5618127584457397,
0.04608127102255821,
-0.6891316175460815,
0.2436986118555069,
0.6084402799606323,
-1.673694372177124,
0.45775994658470154,
... |
In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering ab... | Yes-no
| 5 | NIv2 | task462_qasper_classification | fs_opt | [
0.07349987328052521,
0.09438932687044144,
-0.1357140839099884,
0.06773968786001205,
0.3950003981590271,
-0.4549875259399414,
1.0250836610794067,
0.8051704168319702,
-0.3862822651863098,
0.41314858198165894,
-0.6904314756393433,
0.17837975919246674,
-1.1113991737365723,
0.38310322165489197,... |
Detailed Instructions: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Q: [9955, 3509, 3061, 'b', 8167, 'L', 7121, 'W', 'p', 'C', 'I', '5873', '7421', 'O', '6175', 'z', '2829', 'G', 2219, 1491, 7169, 'F', 'm', 2351, 1483, 605], [5275, 'i', 'g', 1181, 'u', 'Z', 'u', 3... | W, p, C, I, 5873, 7421, O, 6175, z, 2829 | 9 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.6110671758651733,
0.17746469378471375,
-0.22869983315467834,
-0.6991461515426636,
-0.22504501044750214,
-0.22276389598846436,
-0.0539495125412941,
-0.16372892260551453,
-0.7067782878875732,
-0.14803120493888855,
-1.356562852859497,
0.19495463371276855,
0.7762840986251831,
0.011809894815... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
به عنوان مثال این نمای هوایی است از فضای دانشگاه پلی تکنیک فدرال در لوزان (EPFL)
A: | Por exemplo, isto é uma visão aérea panorâmica do campus da EPFL. | 7 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.8055024743080139,
0.9364083409309387,
-0.26072269678115845,
-1.0935733318328857,
-0.47960078716278076,
0.11461708694696426,
0.3591923117637634,
0.3110277056694031,
0.5093164443969727,
-0.49959349632263184,
-0.3948754072189331,
0.9993164539337158,
-0.11962135881185532,
0.4663463234901428... |
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\*.
[EX Q]: what are the qualifications to ... | Danny's father, Nick
| 6 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.921308159828186,
0.7239847779273987,
-0.10866613686084747,
-0.2692439556121826,
-0.8442512154579163,
-0.39812618494033813,
0.6070742607116699,
0.9709922075271606,
-0.2345123589038849,
0.016003895550966263,
-0.4747503399848938,
-0.2959144711494446,
-0.26185739040374756,
-0.02517494000494... |
Definition: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Input: 3 Egg (Medium), 1 tbsp Shiro-dashi, 3 tbsp Water, 2 tbsp Sugar, 1 tsp Sake, 1 pinch Salt
Output: | Egg, Water, Sugar, Sake, Salt | 2 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.08534106612205505,
-0.003180893138051033,
0.23923900723457336,
-0.042916931211948395,
-0.44059139490127563,
0.11575642228126526,
1.2357063293457031,
0.20006564259529114,
-0.23679035902023315,
-0.12141776084899902,
-0.08955790102481842,
0.027510471642017365,
-1.1932547092437744,
-0.20029... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Input: Ale my płacimy za szkołę.
Output: | But we pay for school. | 2 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.8751505017280579,
0.4870546758174896,
0.4469907879829407,
-0.2471916228532791,
0.2168179154396057,
-0.3878519535064697,
0.5141510963439941,
-0.37212079763412476,
0.5165362358093262,
-0.38495099544525146,
0.34289538860321045,
0.048529595136642456,
-0.346567839384079,
0.16704115271568298,... |
Teacher:In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper... | Downer <B-PER> is the first Australian <B-MISC> minister to visit China <B-LOC> since the new conservative government took office in Canberra <B-LOC> in March . | 6 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.5010284781455994,
0.13765652477741241,
-0.256808876991272,
-0.6270227432250977,
-0.3082035779953003,
0.20695583522319794,
0.7272277474403381,
0.22099770605564117,
-0.3864250183105469,
-0.27537593245506287,
-0.15459415316581726,
0.31784626841545105,
0.12212087959051132,
0.344332814216613... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" ... | No | 8 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.6353647708892822,
0.6810492873191833,
0.3379649519920349,
-0.0392373725771904,
0.2609397768974304,
-0.36332982778549194,
0.28106778860092163,
1.0293091535568237,
0.41266053915023804,
0.055414095520973206,
-0.0952167809009552,
-0.45229336619377136,
-0.05282686650753021,
-0.28281930088996... |
Part 1. Definition
Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Part 2. Example
Question: What term refers to a list of the elements that will replace the ones below them in single-replaceme... | Figure 6.18 The diagram shows angular momentum for a circular motion. | 7 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
0.811355710029602,
0.21813397109508514,
-0.6619774699211121,
-0.0011798448394984007,
-0.08707891404628754,
-0.7919233441352844,
0.38461244106292725,
0.3310016393661499,
-0.17862841486930847,
-0.7645652294158936,
-0.919649600982666,
-0.40089714527130127,
-0.4220832288265228,
-0.017364304512... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
[Q]: tell me a pet that lives a long time.
[A]: dog
[Q]: when a man buys flowers for a woman, name a reason why he might choos... | air condition/fan
| 5 | NIv2 | task820_protoqa_answer_generation | fs_opt | [
-0.8364933729171753,
0.580716609954834,
-0.3570743203163147,
0.30121737718582153,
-0.28404754400253296,
-1.8637354373931885,
0.32534047961235046,
0.3405694365501404,
-0.40340131521224976,
0.04117307439446449,
-0.2348392903804779,
0.690479040145874,
-1.1540141105651855,
-0.09549495577812195... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Example input: you have encouraged me thank you for sharing
Example output: Hope Speech
Example explanation: The ... | Not Hope Speech | 3 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.5847940444946289,
-0.019738737493753433,
0.2912636995315552,
-0.18382473289966583,
-0.0631486102938652,
-1.0422751903533936,
0.42360907793045044,
0.35052797198295593,
0.31215718388557434,
0.0494285449385643,
0.03578319400548935,
-0.16787855327129364,
-0.6596149206161499,
0.1098280549049... |
TASK DEFINITION: In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, ... | Pron N V Pron V Punc Punc
| 8 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
-0.04395289719104767,
0.6838010549545288,
0.13764050602912903,
-0.12878765165805817,
-0.06065243482589722,
0.28073567152023315,
0.2914424240589142,
0.1499200314283371,
0.3381851613521576,
-0.0032102311961352825,
-0.08161543309688568,
0.32880139350891113,
-0.9599685072898865,
0.213158816099... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given 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 r... | No | 0 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.20148997008800507,
-0.05338374525308609,
0.37876880168914795,
-0.047794558107852936,
-0.12536227703094482,
-0.8885159492492676,
1.3355357646942139,
0.7966812252998352,
-0.5748409032821655,
-0.3286336660385132,
-0.13366785645484924,
-0.20681807398796082,
-0.8295066952705383,
0.22171896696... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
--------
Question: Text: **this is my first post to /r/tifu. sorry if i made any errors.**
--------------... | go to make gift for the girlfriend a little better but was lied to by a teenager, and now the gift is a little worse.
| 7 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.14665856957435608,
0.16479969024658203,
-0.6159839034080505,
-0.5153003334999084,
0.40985506772994995,
-0.30127429962158203,
0.7603592276573181,
0.6445504426956177,
-0.15741217136383057,
-0.24793705344200134,
-0.11494283378124237,
-0.0450899638235569,
-0.6116207242012024,
0.0928776711225... |
Detailed Instructions: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Q: Tweet: @anonymized_account Teraz niech pojedzie do Australii. Tam Aborygeni o niczym innym nie mówią tylko o łamaniu konstytucji w Polsce. , Question: Does the tweet contain cyberbu... | No | 9 | NIv2 | task839_cdt_classification | zs_opt | [
-0.8241159319877625,
0.6259995698928833,
0.43712854385375977,
0.5146145820617676,
-1.1682429313659668,
-0.7851536870002747,
1.1441720724105835,
-0.2852920889854431,
-0.09798859804868698,
-0.09848158806562424,
-0.025290774181485176,
0.22292926907539368,
-0.586653470993042,
-0.44829183816909... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Article: I was now in my twenty third ... | No | 0 | NIv2 | task310_race_classification | zs_opt | [
0.7468996047973633,
0.2582177519798279,
-0.05005217716097832,
-0.34356462955474854,
0.4489624500274658,
-0.9780128598213196,
1.0109602212905884,
0.7071347236633301,
-0.2845833897590637,
-0.03210728242993355,
-0.003751813666895032,
0.5920975208282471,
-0.689670205116272,
0.13296882808208466... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant.... | user | 1 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
0.04929187148809433,
0.2870638966560364,
-0.21170032024383545,
-0.3200415372848511,
-0.5903456211090088,
0.16183991730213165,
0.7276238203048706,
0.15678292512893677,
0.3299488127231598,
0.0419076643884182,
-0.6601985692977905,
-0.26935887336730957,
-0.2978517413139343,
-0.316400945186615,... |
instruction:
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
question:
برنامه با جلوه های ویژه فوق العاده ای شروع شد. چرا که تغییرات آب و هوایی فجیعی وجود داشت که تا حدودی با شرایط برابر با امروز جالب به نظر می آید.
answer:
特殊効果で始まる理由は壊滅的な気候変動が起こり ― まるで今日と同じようで興味深いですが ―... | それに我々と地域住民との関係は良好だからそれを傷つけたくないんだ」彼は続けました「こうしてはどうだい
| 9 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
-0.6320909261703491,
0.5647469162940979,
-0.3022508919239044,
-0.24439594149589539,
-1.2703603506088257,
-0.31464675068855286,
0.323386549949646,
0.39773210883140564,
0.13264575600624084,
-0.842494010925293,
-0.8096131682395935,
0.11125767976045609,
-0.4067799746990204,
0.7306498289108276,... |
Instructions: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Input: 2, 1, ['6681', 'Q', '751', '479', '5851', '4... | Q, 751, 479, 5851, 4205, 149, P, T, k, v, D, 7245, e, a, 4031, e | 3 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.08074934780597687,
0.1425742357969284,
-0.900741696357727,
-0.499453067779541,
-0.6724869012832642,
-0.038865018635988235,
0.5899437665939331,
-0.7258036732673645,
-0.32065823674201965,
-0.09465985000133514,
-0.381439208984375,
-0.47096526622772217,
0.05520614609122276,
0.338543832302093... |
Definition: 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 acceptable, otherwise unacceptable. If the sentence is acceptable th... | acceptable | 2 | NIv2 | task616_cola_classification | zs_opt | [
-0.7926230430603027,
0.589464545249939,
0.7006294131278992,
-0.6281664967536926,
-0.14910830557346344,
-0.6045015454292297,
0.36017468571662903,
0.48899197578430176,
0.7077571153640747,
0.09159230440855026,
-0.8339897990226746,
-0.07779314368963242,
-0.22849445044994354,
-0.213299810886383... |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of... | No | 4 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.30689701437950134,
0.11436446011066437,
0.3993071913719177,
-0.09745188802480698,
-0.05766332894563675,
-0.8106952905654907,
0.7317589521408081,
0.6435445547103882,
-1.0598053932189941,
-0.2871244549751282,
-0.444042444229126,
-0.41728532314300537,
-0.5535181760787964,
0.0724322721362114... |
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_pantry | 3 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
0.472956120967865,
0.1979130506515503,
-0.3633713126182556,
-0.30889442563056946,
-0.5044692158699036,
-0.5265374183654785,
0.03278372436761856,
0.4123314619064331,
-0.014533163979649544,
-0.19457468390464783,
-0.4603439271450043,
1.100726842880249,
0.10091790556907654,
0.24648836255073547... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
[Q]: E existem várias razões.
[A]: And there are many reasons for this.
[Q]: O crescimento médio da nossa economia é de 15% nos últimos cinco anos.
[A]: The average growth of our economy is about 15 percent for the... | I took the test and the result showed I was positive.
| 5 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
0.11971735954284668,
0.6772275567054749,
0.13686278462409973,
-0.621606707572937,
-0.30980435013771057,
-0.733771026134491,
-0.9674172401428223,
0.8713134527206421,
0.6635310649871826,
-0.15284103155136108,
-0.5381155014038086,
0.6784363985061646,
-0.8934684991836548,
-0.08316318690776825,... |
In this task, you are given music product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example Input: Magique ! . Les Clash ont réalisés un album éclectique qui garde un son coh... | POS
| 3 | NIv2 | task484_cls_french_music_classification | fs_opt | [
1.2029192447662354,
0.23871701955795288,
-1.05302095413208,
0.22000694274902344,
0.8433282375335693,
-0.679834246635437,
1.5021233558654785,
0.6415213942527771,
-0.14713269472122192,
0.8916727304458618,
0.18826448917388916,
0.19837668538093567,
-0.42918217182159424,
0.08262906968593597,
... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Example: what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions in Russia in 1917, which destroyed the Tsarist autocracy and led to the creation of the Sovi... | Solution: 2012 | 5 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.7786651849746704,
0.7000019550323486,
-0.7856048345565796,
-0.07811325788497925,
-0.07494338601827621,
0.05135655403137207,
0.8611339926719666,
1.9752379655838013,
0.26694613695144653,
0.33597615361213684,
-0.14058101177215576,
-0.07484722137451172,
-0.3690306544303894,
-0.17584514617919... |
Part 1. Definition
Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Part 2. Example
news:According to Gran , the company has no plans to move all production to Russia , although... | false | 7 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.5544188022613525,
-0.08309398591518402,
-0.25051432847976685,
0.5542818307876587,
-0.17764419317245483,
-0.005396051332354546,
0.4455750584602356,
0.828148365020752,
0.20472273230552673,
-0.33788907527923584,
-0.7233859300613403,
0.20359110832214355,
-0.27567410469055176,
0.146161884069... |
instruction:
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.
question:
Comment: That`s why I hate and loath liberalism... | Sexual-explicit
| 9 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.49037981033325195,
0.20631340146064758,
0.001890646992251277,
0.6467171907424927,
-0.18819931149482727,
-0.5472921133041382,
0.26452285051345825,
0.9059988260269165,
0.6370765566825867,
0.14604401588439941,
-0.1359720081090927,
0.7448818683624268,
-0.14023835957050323,
-0.94825762510299... |
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