inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Definition: 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 does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick th... | a | 2 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
-0.629725456237793,
0.1725747287273407,
0.7052806615829468,
-0.45306694507598877,
-0.03519057482481003,
0.5800361633300781,
0.39961808919906616,
0.7935932278633118,
0.5124994516372681,
0.05967921018600464,
-0.594484806060791,
-0.21524308621883392,
0.4011071026325226,
-0.030402114614844322,... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will ... | 231265648237 | 1 | NIv2 | task1443_string_to_number | fs_opt | [
-0.4741848111152649,
1.2528562545776367,
-0.36555883288383484,
-0.4912271797657013,
-0.01990000531077385,
-0.16739970445632935,
0.5799275636672974,
0.36976420879364014,
-0.12909547984600067,
-0.36531955003738403,
-0.19575607776641846,
0.18980276584625244,
-0.5924903154373169,
-0.1877928525... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of... | Solution: DISSIMILAR | 5 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.31153005361557007,
0.2889085114002228,
-0.0749301090836525,
-0.1376430094242096,
-0.4382685422897339,
-0.07886037975549698,
1.248999834060669,
-0.0497884601354599,
0.5810165405273438,
-0.10280017554759979,
-1.1367638111114502,
-0.2107997089624405,
-0.5797473788261414,
0.6387237906455994... |
instruction:
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer... | After planting the seeds
| 9 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
0.2750362753868103,
0.2934368848800659,
-0.9189895391464233,
-0.0049047330394387245,
-0.010662734508514404,
-1.212454080581665,
1.0143524408340454,
0.9530777931213379,
-0.08994744718074799,
0.17689168453216553,
-0.41112789511680603,
-0.12516815960407257,
-0.4633663296699524,
0.045380324125... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Input: خوبه ، نقاشی جالبی است.
Output: | מעולה, כי זה ציור מגניב. | 2 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.5651980638504028,
0.4906615912914276,
0.23416581749916077,
-0.03475228697061539,
-0.175867959856987,
0.041761189699172974,
0.48318174481391907,
-0.0698370486497879,
0.8639577627182007,
0.07657548785209656,
-1.0675575733184814,
0.27089419960975647,
0.4919777810573578,
0.764685332775116,
... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
са... | joy | 0 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.5717817544937134,
-0.13072548806667328,
0.24653692543506622,
-0.497236430644989,
-0.4333191514015198,
0.5726668834686279,
0.6780644059181213,
0.8972253799438477,
-0.10764797031879425,
-0.06101071089506149,
-0.5519853234291077,
-0.5791106224060059,
0.20373225212097168,
0.1466141492128372... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example is below.
Q: English: Details were given by the UK Transport Secretary, ... | Yes | 9 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.6144536733627319,
-0.12857559323310852,
0.2755669951438904,
-0.031107192859053612,
0.4408215284347534,
-0.5227904319763184,
-0.08101584017276764,
0.2937811613082886,
-0.1857866644859314,
-0.13048098981380463,
-0.14007940888404846,
0.3252459764480591,
-0.20441275835037231,
0.318021118640... |
Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Input: Consider Input: Text: 'you're doubling back a wee bit'
Output: English
Input: Consider Input: Text: 'credo di si'
Output: Italian
Input: Consider Input: Text: 'Ogni cellula e tessuto del corpo contiene ... | Output: Italian
| 2 | NIv2 | task896_miam_language_classification | fs_opt | [
0.19055238366127014,
0.6866148710250854,
0.36243411898612976,
-0.0481390617787838,
0.029028354212641716,
-0.35493695735931396,
-0.16110201179981232,
1.0766441822052002,
-0.017305925488471985,
-0.196159228682518,
-0.348763108253479,
-0.0733535960316658,
-0.07870081067085266,
-0.364749222993... |
Q: 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.
Passage: During the 1913 Ballets Russes season in Paris, Monteux conducted two... | Stravinsky. | 7 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.7801743745803833,
0.32736659049987793,
-0.9788144826889038,
0.3475313186645508,
0.8297629952430725,
-0.14041179418563843,
1.1245174407958984,
0.5270891785621643,
0.20393827557563782,
0.47045445442199707,
-0.6802773475646973,
0.45425015687942505,
-0.8070590496063232,
0.3892678916454315,
... |
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: Consider Input: The Minister of State for Road Transport Highways, Shipping and Chemicals Fertilizers Shri Mansukh L Mandaviyainan interview said ... | Output: آسام میں پیپرملز کا احی
| 2 | NIv2 | task1057_pib_translation_english_urdu | fs_opt | [
-0.12458756566047668,
0.1704142838716507,
0.23195567727088928,
-0.8837672472000122,
-0.18955089151859283,
-0.11766941845417023,
0.43484243750572205,
0.913404107093811,
-0.31073689460754395,
0.21757104992866516,
-0.4832504689693451,
-0.045883432030677795,
-0.5366619825363159,
-0.05646903812... |
TASK DEFINITION: In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even th... | Wayne Rooney
| 8 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.650700569152832,
0.5558274984359741,
-0.647934079170227,
0.004378003999590874,
0.4947441816329956,
0.3026057779788971,
1.681682825088501,
1.0022106170654297,
0.43167948722839355,
-0.12895455956459045,
0.23344562947750092,
1.022568941116333,
-1.0351347923278809,
0.2557194232940674,
-0.6... |
You will be given a definition of a task first, then some input of the task.
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 ... | date | 1 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
0.3842107057571411,
0.5574758648872375,
0.2133316993713379,
-0.30247920751571655,
0.42952433228492737,
-0.486532986164093,
0.5343883037567139,
0.5196493864059448,
-0.060378726571798325,
0.2777366042137146,
-0.24387750029563904,
0.38632088899612427,
-0.6934707164764404,
0.16883379220962524,... |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or... | True | 5 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.4895346164703369,
0.12311966717243195,
0.14457967877388,
0.36613398790359497,
0.5526154041290283,
-0.15442483127117157,
0.7198536396026611,
0.5526700019836426,
0.003939357586205006,
0.2539828419685364,
-0.622146487236023,
0.06576026231050491,
-0.6152839660644531,
0.15587663650512695,
... |
Given a passage with a context and an answer, 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... | Does high Proportion of Nuclear Phenotype identify Aggressive Cutaneous Squamous Cell Carcinoma? | 4 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.04443813115358353,
0.4230460524559021,
-0.7498984336853027,
-0.07025812566280365,
0.030227364972233772,
-0.722741961479187,
0.7579889893531799,
0.8518487215042114,
0.4558951258659363,
0.1511574387550354,
-0.2889435291290283,
-0.052124105393886566,
-0.8593602180480957,
0.36753910779953003... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
See one example below:
Problem: Grazas.
Solution: Gracias.
Explanation: The Galician sentence is correctly translated into Spanish, because the meaning is preserved.
Problem: Non vai volver a pasar... | Esto no sucederá. | 4 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.7990679740905762,
0.8574756979942322,
-0.0438760444521904,
-0.42677396535873413,
-0.21513482928276062,
-1.1363775730133057,
0.7841950058937073,
0.430795282125473,
-0.2904438376426697,
-0.38954925537109375,
-0.5448803901672363,
0.3545539975166321,
-0.4526304006576538,
0.5348162651062012,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Mi teoría es que, y aquí no he hecho investigación, es que si pudiéramos ver hacia atrás e investigarlo, encontraríamos que la comedia es la segunda profesión viral más vieja.
E a miña suposición, e non o investiguei, é q... | Agora as bacterias están diluídas, non hai moléculas abondas, así que elas non producen luz, pero á lura élle igual. Está durmindo na area.
| 0 | NIv2 | task1100_ted_translation_es_gl | fs_opt | [
-0.5586947202682495,
0.9096745252609253,
-0.5323473811149597,
-0.5008769035339355,
-0.26477253437042236,
-0.49256300926208496,
-0.45710453391075134,
1.1529977321624756,
-0.07080375403165817,
-0.1914130002260208,
-0.33095550537109375,
0.04074076935648918,
-0.6711747646331787,
-0.11380701512... |
Instructions: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Input: Context: The tumor necrosis factor (TNF) gene is located within the highly polymorphic major histocompatibility complex region,... | This study highlights that polymorphic sites spanning the region nearby the TNF locus are associated with AIDS per se and with cytomegalovirus retinitis in AIDS patients. | 3 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.08977024257183075,
0.094577856361866,
-0.696051299571991,
0.5554252862930298,
0.23797518014907837,
-0.6564955711364746,
0.04224761575460434,
1.1491917371749878,
0.2614147663116455,
0.46081221103668213,
-0.980146050453186,
0.5717487335205078,
-0.8714479804039001,
-0.008992509916424751,
... |
Part 1. Definition
In this task, you are given a country name, and you need to return the country's surface area in terms of square kilometers. Up to two decimal places are allowed in your answer.
Part 2. Example
Angola
Answer: 1246700.00
Explanation: Surface area of the given country Angola is 1246700.00 square-kilome... | 264.00 | 7 | NIv2 | task1428_country_surface_area | fs_opt | [
0.3500089645385742,
0.6634005308151245,
-0.3192261755466461,
-1.1324453353881836,
-0.516228973865509,
-0.27447402477264404,
-0.1556985080242157,
-0.08251207321882248,
-0.7782624959945679,
-0.17413848638534546,
-0.5339535474777222,
0.019488943740725517,
-0.2526512145996094,
-0.0254220739006... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | A flea market. | 0 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.8203380107879639,
1.032224416732788,
0.3442073166370392,
-0.4362640976905823,
-0.06947074085474014,
0.13228446245193481,
-0.26988232135772705,
0.7742519378662109,
-0.0019083977676928043,
-0.386415034532547,
-1.1892778873443604,
-0.4145607054233551,
-0.714120626449585,
0.1589138060808181... |
Detailed Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that... | run left twice and jump opposite left thrice | 8 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.0942760556936264,
1.0335192680358887,
-0.5279872417449951,
-0.11018063127994537,
-0.13623538613319397,
0.6081095933914185,
0.14956648647785187,
0.6030530333518982,
-0.49628162384033203,
-0.5366833209991455,
-0.9624923467636108,
-0.3550948202610016,
-0.7599561214447021,
-0.000150640727952... |
In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
Q: Psychiatric service dog -- A psychiatric service dog is a specific type of service dog trained to assist their handler ... | can a person have more than 4 wisdom teeth
****
| 4 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
-0.2605905532836914,
-0.24499711394309998,
-0.11335132271051407,
-0.35350507497787476,
-0.03478820621967316,
-0.2353312075138092,
0.6007633209228516,
1.4842678308486938,
0.1536569595336914,
-0.38116544485092163,
-0.4159318506717682,
0.36615419387817383,
0.17116259038448334,
-0.116922274231... |
Detailed Instructions: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Pr... | It is fun but I go broke so fast. | 8 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.38140249252319336,
-0.1368420422077179,
-0.6395148634910583,
-0.2987297475337982,
0.02778557501733303,
-0.012585829012095928,
0.8549253940582275,
-0.3427612781524658,
-0.3047235906124115,
0.004533638246357441,
0.2558293342590332,
-0.07300293445587158,
-1.0188462734222412,
-0.12040188908... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Input: Consider Input: What term means an are... | Output: electric case
| 2 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
-0.27425462007522583,
1.2529690265655518,
-0.46943700313568115,
0.13759231567382812,
0.10053001344203949,
-0.29272744059562683,
-0.05311233922839165,
-0.6503110527992249,
0.03114943951368332,
-0.3665522336959839,
-0.6401499509811401,
0.034220483154058456,
-0.3366743326187134,
-0.2512573599... |
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... | In what year was the Archivist of the US hired? | 6 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.7556347846984863,
0.45604169368743896,
-0.7205830812454224,
-0.5236322283744812,
-0.10607825219631195,
-0.3267226219177246,
1.2384281158447266,
0.9446350932121277,
0.04602576419711113,
0.23118412494659424,
-0.6466168165206909,
0.24331972002983093,
-0.8530391454696655,
0.3412226140499115,... |
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 ... | Are circulating levels of IL-1beta , a prothrombotic cytokine , elevated in unstable angina versus stable angina? | 8 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.47963887453079224,
0.36928194761276245,
-0.13167467713356018,
-0.18994349241256714,
0.7174422144889832,
-0.5773239135742188,
0.26467829942703247,
0.6371968984603882,
-0.3559260368347168,
-0.07278481125831604,
-0.437985897064209,
0.041080817580223083,
-0.8927403688430786,
0.45220750570297... |
Given the task definition and input, reply with output. You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically con... | numbers | 5 | NIv2 | task834_mathdataset_classification | zs_opt | [
0.011898699216544628,
0.27308785915374756,
0.0874447301030159,
0.009243052452802658,
0.4114375710487366,
0.8013935685157776,
-0.19982384145259857,
0.6747100353240967,
0.26041722297668457,
-0.31636956334114075,
-0.8416008949279785,
-0.2261708378791809,
-0.5385018587112427,
0.192659616470336... |
The provided file includes inquiries about restaurants in Persian, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for... | Solution: look for " mai lee " . | 5 | NIv2 | task258_spl_translation_fa_en | fs_opt | [
-0.6968868374824524,
0.6708564758300781,
-0.014349485747516155,
0.030817832797765732,
-0.15851037204265594,
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0.8653826713562012,
0.7321250438690186,
-0.28459230065345764,
-0.3142200708389282,
0.1567656695842743,
0.528852641582489,
-0.2540842592716217,
0.4905191063880920... |
Given the task definition and input, reply with output. In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the... | [1, 3] | 5 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.05760452151298523,
0.07940386980772018,
-0.13926899433135986,
-0.28625059127807617,
0.33694303035736084,
0.36118608713150024,
0.4732130765914917,
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0.18711259961128235,
-0.847650408744812,
-0.3653865456581116,
-0.17426839470863342,
0.05830615758... |
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 need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a w... | cameras | 0 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
-0.06438875943422318,
0.4626055359840393,
0.02739838883280754,
-0.48718497157096863,
0.25253090262413025,
-0.22923855483531952,
0.7202737331390381,
0.9112072587013245,
0.0203927643597126,
-0.27451804280281067,
0.12639684975147247,
-0.29599088430404663,
0.2961227297782898,
-0.14279428124427... |
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 your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | b | 3 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.53840571641922,
-0.14006862044334412,
0.052946221083402634,
0.30890750885009766,
0.1436232477426529,
-0.11700388789176941,
0.43166041374206543,
1.0665900707244873,
-0.18038606643676758,
0.2057613879442215,
-1.055282711982727,
-0.38415396213531494,
0.2193266749382019,
-0.05715272575616836... |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | आप अक्सर एक महल में राजा चुनते हैं. | 0 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.42615053057670593,
0.7998189330101013,
0.31377848982810974,
0.4417799711227417,
-0.1573404222726822,
-0.8415881395339966,
0.09431790560483932,
0.80400550365448,
-0.08572745323181152,
-0.7967687845230103,
-1.3127639293670654,
-0.3924911618232727,
0.23822137713432312,
0.3981737792491913,
... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location ... | None | 9 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
0.08496500551700592,
0.42846181988716125,
-0.1428947150707245,
-0.2536068260669708,
-0.47082510590553284,
-0.3200133442878723,
0.966431736946106,
-0.295565664768219,
0.6139992475509644,
-0.6861734986305237,
-0.46599096059799194,
0.9144998788833618,
-0.33026471734046936,
0.04806266725063324... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
They send them more carbon below ground.
A: | 自分の子供たちには地下でもっと炭素を送ります | 7 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.42702716588974,
-0.05691677704453468,
0.33487915992736816,
-0.9819464683532715,
0.006179122254252434,
-1.4815025329589844,
0.32207340002059937,
0.20380648970603943,
0.3986606001853943,
-0.7989024519920349,
-0.16572268307209015,
-0.1661270558834076,
-0.30914685130119324,
0.96298593282699... |
Detailed Instructions: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
See one example below:
Problem: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenes... | The SI/GH model, which results in robust and enduring increases in anxiety measures and EtOH self-administration in male Long Evans rats, did not result in similar behavioral changes in female rats. These data, and that of others, suggest that adolescent social isolation is not a useful model with which to study neurob... | 4 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.07994812726974487,
0.5849554538726807,
-0.5003277063369751,
-0.32722246646881104,
0.3534769117832184,
-0.31082266569137573,
0.3998474180698395,
0.7941168546676636,
0.0034876936115324497,
0.18809092044830322,
-0.39264538884162903,
-0.0282000582665205,
-0.896699845790863,
0.266255795955657... |
Given a question and its paraphrases, answer the question. The answer should exactly answer all the questions given without any ambiguity. Don't give partial answers.
Questions: ['when is justin biebers birthday?'] | 1994-03-01 | 0 | NIv2 | task444_com_qa_question_paraphrases_answer_generation | zs_opt | [
0.22779810428619385,
0.9303908944129944,
-0.6026532649993896,
-0.03206395357847214,
-0.7061716318130493,
-0.5949890613555908,
0.7494559288024902,
-0.6806610822677612,
-0.3959657549858093,
0.024645358324050903,
-0.19136829674243927,
-0.0756588876247406,
-0.7303308248519897,
0.37128561735153... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Example input: Problem: what is difference between biggest and smallest fraction among 2 / 3 , 3 / 4 , 4 / 5 and 5 / 3
Options: a ) 2 / 5 , b ) 3 / 5 , c ) 1 / 6 , d ) 1 , e... | d | 3 | NIv2 | task1420_mathqa_general | fs_opt | [
-0.4868403971195221,
0.8125925064086914,
-0.5272455811500549,
0.3844335079193115,
-0.1489006131887436,
0.4249249994754791,
0.8311240077018738,
0.6683173179626465,
0.2734536826610565,
0.2150941789150238,
-0.2731451392173767,
0.2254660427570343,
0.5213185548782349,
-0.3076326847076416,
0.4... |
Detailed Instructions: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Problem:Japanese: WA水産局は、懲役刑は犯罪が深刻だと考えられていることを反映していると言っている。
Lao: ກົມການປະມົງພາກຕາເວັນຕົກປ... | Yes | 8 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.09234315156936646,
-0.2051594853401184,
-0.04761548340320587,
-0.3566993474960327,
-0.10116584599018097,
-0.8149811029434204,
0.04244343563914299,
0.9476247429847717,
-0.25249454379081726,
-0.7095814943313599,
-0.08378268778324127,
0.18772092461585999,
-0.6365933418273926,
0.76345753669... |
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.
Example: 2, 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762... | Solution: A, E, q, 9405 | 5 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
-0.010528691112995148,
0.01944366842508316,
-0.6359654068946838,
-0.6226294040679932,
-0.4502865672111511,
0.1320504993200302,
0.5655090808868408,
0.2397921085357666,
-0.4167864918708801,
0.13352423906326294,
-0.6093792915344238,
-0.22334274649620056,
0.1561189889907837,
-0.002009297721087... |
Instructions: The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Input: name[xname], recommend[yes], cuisine[Mediterranean], decor[acceptable], qual[acceptable], location[TriBeCa/SoHo], price[expens... | Since xname is an Mediterranean place and expensive. xname is in TriBeCa/SoHo with decent food, acceptable decor and rude staff, xname is the best restaurant. | 3 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.5380821228027344,
0.45255735516548157,
-0.4278969168663025,
0.14557701349258423,
-0.23380537331104279,
-0.1507476568222046,
0.6198493242263794,
0.3023906350135803,
0.06546378135681152,
-0.007697505876421928,
0.6830940246582031,
-0.22501341998577118,
-0.4228683412075043,
-0.0423939749598... |
Detailed Instructions: 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: Afternoon tea. Sentence 1:... | They quickly sent her out the proper food. | 9 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.2758753001689911,
0.9135245680809021,
0.84335857629776,
-0.48545023798942566,
-0.06984317302703857,
-0.23261596262454987,
0.29434409737586975,
0.27182435989379883,
0.11175638437271118,
-0.03230942040681839,
0.07537796348333359,
-0.20358026027679443,
0.24576614797115326,
0.27656006813049... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Input: Consider Input: [[39, 9, 1], [43, -3, 2, 1... | Output: [10912, -49920, -1380, -893, 360, -324]
| 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
-0.012567414902150631,
0.21901077032089233,
-0.756503164768219,
-0.2610582113265991,
-0.31792372465133667,
-0.22255149483680725,
0.9321585297584534,
0.6999427676200867,
-0.4992560148239136,
0.08127062022686005,
-0.959807276725769,
-0.09854243695735931,
-0.6743927001953125,
-0.6600368618965... |
Detailed Instructions: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: Television journalist Ahmed al-Mullah said that traffic... | No | 9 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.16544973850250244,
-0.18291887640953064,
1.1863412857055664,
0.07682237029075623,
0.00539951678365469,
-0.5220550894737244,
-0.07431836426258087,
0.7936263084411621,
-0.23198199272155762,
-0.36625945568084717,
0.30716779828071594,
0.14066025614738464,
-0.5185848474502563,
0.639047265052... |
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 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 "ye... | no | 0 | NIv2 | task211_logic2text_classification | fs_opt | [
-0.1439833641052246,
-0.12405471503734589,
-0.28912532329559326,
0.5701777935028076,
0.42096394300460815,
-0.6064802408218384,
0.03149597346782684,
0.6485998630523682,
0.009596756659448147,
0.015260482206940651,
-0.43755000829696655,
0.4913075566291809,
0.0531553253531456,
0.63693642616271... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. 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 grammatically correct version of the input stream. Stream words ar... | ['well', 'welcome', 'to', 'the', 'third', 'in', 'this', 'series', 'of', 'algebra', 'of', 'age', 'word', 'problems.', 'And', 'I', 'just', 'wanted', 'to', 'start', 'off', 'where', 'I', 'left', 'off', 'in', 'the', 'second', 'one.', 'I', 'got', 'myself', 'confused.', 'You', 'guys', 'make', 'me', 'very', 'nervous', 'while',... | 0 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.7433584928512573,
0.4818747639656067,
-0.05800844728946686,
-0.596659243106842,
0.4300292134284973,
-0.6007438898086548,
-0.08069637417793274,
0.8851209878921509,
-0.1761922538280487,
0.439572811126709,
-0.5082792043685913,
-0.4940663278102875,
-0.41384029388427734,
-0.5189007520675659,
... |
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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j... | o | 0 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.7759800553321838,
0.8453673720359802,
-0.2904879152774811,
-0.4224139451980591,
-0.014485852792859077,
0.11200373619794846,
0.5073307156562805,
-0.23240286111831665,
0.038045287132263184,
-0.23480534553527832,
-0.9308681488037109,
0.17409658432006836,
0.11037862300872803,
-0.27027446031... |
Given the task definition and input, reply with output. In this task, you are given a question in Persian, and your task is to translate it into English.
آیا ترس از آینده در ۱۹ سالگی طبیعی است؟
| Is it normal to fear the future at 19? | 5 | NIv2 | task653_parsinlu_fa_en_translation | zs_opt | [
-0.8177472352981567,
1.096001386642456,
0.1929243803024292,
-0.5485771894454956,
-1.0912419557571411,
0.41202810406684875,
0.33868342638015747,
-0.0486692376434803,
0.7838813662528992,
0.08644416928291321,
-0.6433727741241455,
1.2408843040466309,
-1.037023901939392,
0.03217686340212822,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return... | Unidentifiable | 1 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-0.9114077091217041,
0.6353058815002441,
-0.34715408086776733,
-0.24902240931987762,
-0.047508660703897476,
0.5294303894042969,
-0.11879933625459671,
0.7371928691864014,
0.3580944538116455,
0.062301091849803925,
-1.2796008586883545,
0.12449304759502411,
0.0295666866004467,
-0.2516761422157... |
Definition: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: try to keep him calm,
Output: | . سعي کنيد آروم نگهش داريد | 2 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.535262942314148,
0.9801632165908813,
-0.02071152999997139,
-0.6773011684417725,
-0.3158203363418579,
-0.4796702265739441,
0.6228311061859131,
0.42981603741645813,
0.28953707218170166,
0.3117152452468872,
-0.955539882183075,
0.7851282358169556,
-1.0219662189483643,
0.21680961549282074,
... |
Given a sentence in Spanish, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Example: La temporada de la NBA de 1975: 76 fue la 30ª temporada de la National Basketball Association.
Example solution: 1975 - 76年の全米バスケットボール協会のシーズンは、... | Solution: 学校は2003年に建てられた自閉症学校Ysgol Plas Brondyffrynの中等部と連携しています。 | 5 | NIv2 | task800_pawsx_spanish_japanese_translation | fs_opt | [
0.5211302042007446,
-0.7036504745483398,
-0.29063880443573,
-0.2761891484260559,
0.41735193133354187,
-0.8863009810447693,
0.5437540411949158,
0.2547820210456848,
0.1717928797006607,
0.11188334971666336,
-0.10902536660432816,
1.152673363685608,
-0.9293317794799805,
-0.2815245985984802,
-... |
Definition: In this task, we ask you to elaborate the sentence without changing its general meaning. You can do so by explaining further the input sentence, using more precise wording, adding qualifiers and auxiliary information etc.
Input: For example , 1 megawatt equals 1,000,000 watts .
Output: | Physical quantities can also be expressed using the SI prefix mega ( M ) , when dealing with SI units ; for example , 1 megawatt ( 1 MW ) equals 1,000,000 watts . | 2 | NIv2 | task955_wiki_auto_style_transfer | zs_opt | [
-0.41407644748687744,
1.0849030017852783,
-0.1354820430278778,
-0.40947282314300537,
-0.039581846445798874,
-0.8407957553863525,
-0.07061294466257095,
0.4489586353302002,
0.4073864221572876,
-0.6297826170921326,
-0.6954401135444641,
-0.6641775369644165,
-0.2013956606388092,
-0.005756220314... |
Teacher:In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Teacher: Now, understand the problem? Solve this instance: Passage: Beauty and the Beast (2017 film) -- After shar... | 0 | 6 | NIv2 | task1661_super_glue_classification | zs_opt | [
0.8713721632957458,
1.4722115993499756,
-0.682305634021759,
-0.27375420928001404,
-0.22529852390289307,
-0.2849242091178894,
0.5090469121932983,
0.6447553634643555,
0.15625105798244476,
0.28953421115875244,
-0.16675259172916412,
0.09173286706209183,
0.06528829783201218,
0.21310493350028992... |
You will be given a definition of a task first, then some input of the task.
Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
lower, emotional, down, kind, loveful
Output: | lower | 1 | NIv2 | task142_odd-man-out_classification_no_category | zs_opt | [
-0.15106201171875,
0.6789795160293579,
0.29138877987861633,
0.19475588202476501,
0.16878074407577515,
-0.2406999170780182,
0.6871939897537231,
-0.06287315487861633,
-0.14237625896930695,
-0.11511583626270294,
-0.8796424865722656,
-0.20031827688217163,
-0.6703464984893799,
0.078528426587581... |
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... | [['Asser Levy Public Baths', 'LOCATION', 'New York City'], ['New York City', 'COUNTRY', 'United States'], ['Manhattan', 'LEADER_NAME', 'Cyrus Vance, Jr.'], ['New York City', 'IS_PART_OF', 'Manhattan'], ['New York City', 'IS_PART_OF', 'Brooklyn']] | 9 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
-0.264873206615448,
0.22379788756370544,
-0.8271842002868652,
-0.013019943609833717,
-0.2816731333732605,
0.09331949055194855,
-0.12716731429100037,
0.1330987960100174,
0.5555092096328735,
-0.2461848109960556,
-0.4613056778907776,
0.4307348430156708,
-0.39897486567497253,
0.658590197563171... |
Q: A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Text: 18:22 At nang kaniyang masabi ito, ay sinampal si Jesus ng isa sa mga punong kawal na nakatayo roon, na nagsasabi, Ganyan ang pagsagot mo sa dakilang saserdote?
A: | Tagalog | 7 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
0.2062077820301056,
0.6891986131668091,
0.21980291604995728,
0.1091991737484932,
-0.30969712138175964,
-1.2537953853607178,
-0.164648175239563,
0.33937907218933105,
0.5015731453895569,
0.5505469441413879,
0.16839498281478882,
1.0499205589294434,
-0.5484762191772461,
0.053033798933029175,
... |
Detailed Instructions: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
See one example below:
Problem: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenes... | Both transcriptome platforms have proven to be useful resources, showing complementary and reliable results. The results presented here highlight the different abilities of the two maritime pine populations to sense environmental conditions and reveal one type of regulation that can be ascribed to different genetic and... | 4 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.1111813485622406,
0.5003393292427063,
-0.3456004858016968,
-0.09923055768013,
0.5383495092391968,
-0.19947406649589539,
0.1327308714389801,
0.5865320563316345,
-0.14121553301811218,
0.3514004945755005,
-0.1703113466501236,
0.22472402453422546,
-0.833479106426239,
0.4887831509113312,
0.... |
Definition: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: 「その事件は、キング・ストリートにある24時間のバー、BarCodeで、女性がタクシーに乗り込もうとした時から始まった」と警察は考えている。
Output: | Polisi yakin bahwa insiden dimulai dari Bar Code 24 jam di jalan King, saat seorang wanita berusaha mencari taksi. | 2 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.4021165370941162,
0.04959966987371445,
-0.18020574748516083,
-0.15838758647441864,
0.029832057654857635,
-0.5315966010093689,
0.3013731837272644,
0.22104808688163757,
0.23235660791397095,
0.09417018294334412,
-0.7197175025939941,
0.5058911442756653,
-0.8967522382736206,
0.55378967523574... |
Teacher: Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question h... | Yes | 2 | NIv2 | task1439_doqa_cooking_isanswerable | fs_opt | [
0.6921669244766235,
-0.582112729549408,
-0.6771407127380371,
0.27930954098701477,
0.16631662845611572,
-0.7749963402748108,
0.6066357493400574,
1.1489858627319336,
-0.5328956842422485,
-0.033412717282772064,
0.6177546977996826,
0.49754488468170166,
-0.17488780617713928,
0.6212109327316284,... |
Given the task definition and input, reply with output. Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
They sent me the wrong color. Not j... | Bad review | 5 | NIv2 | task929_products_reviews_classification | zs_opt | [
-1.2032620906829834,
0.27903908491134644,
0.4152434170246124,
-0.18333670496940613,
0.3188767433166504,
-0.3764614164829254,
0.18576547503471375,
0.8088423609733582,
-0.004265118855983019,
0.4974508285522461,
-0.21228466928005219,
0.3533797860145569,
-0.23172824084758759,
-0.26445350050926... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Input: (Risas) Os seus prismáticos son un dos utensilios máis críticos que posúe.
Output: | (Laughter) His binoculars are one of the most critical acting devices he has. | 3 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.1722344011068344,
1.426457166671753,
0.4246916174888611,
-0.8739570379257202,
-0.03295104205608368,
-0.7315528988838196,
0.34972113370895386,
0.5499321818351746,
0.17660197615623474,
0.505565345287323,
-0.7741817235946655,
0.5001699924468994,
0.009290183894336224,
0.18817713856697083,
... |
You will be given a definition of a task first, then some input of the task.
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Name of compound KNO ?
Where does the Seahorses ... | Where does the Seahorses live in the world ? | 1 | NIv2 | task674_google_wellformed_query_sentence_generation | zs_opt | [
0.05997771769762039,
0.948590874671936,
-0.3851040303707123,
-0.0009590469999238849,
-0.4907746911048889,
0.06048321723937988,
0.8965693712234497,
-0.42571544647216797,
-0.7498346567153931,
-0.02990022674202919,
0.0818728357553482,
-0.4585430324077606,
-0.7730474472045898,
0.60908025503158... |
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, outdoor sport activity, mil... | emotional status
| 0 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.185753732919693,
0.14967918395996094,
-0.6475614309310913,
-0.062206804752349854,
0.0768265426158905,
-0.2533262372016907,
-0.5608227849006653,
0.3217858076095581,
0.0662837103009224,
-0.03786378353834152,
-0.2705969214439392,
-0.25449061393737793,
-0.5259045362472534,
-0.431087046861648... |
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 such that it seamlessly connects with the rest of the story.
Title: Veela. Sentence 1: Ava was listening to a female artist sing on Youtube. Sentence 2: She became enamored wi... | Lilly baby sister Joy arrived then everyone sang her Christmas carols.
| 0 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.5123960971832275,
0.2517704963684082,
-0.1778547614812851,
0.07505396008491516,
-0.11669139564037323,
0.18312783539295197,
1.0188934803009033,
0.7420862913131714,
0.031828418374061584,
0.1887371689081192,
-0.35385698080062866,
0.16043291985988617,
-0.18455567955970764,
0.045261211693286... |
Instructions: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
Input: 山东省菏泽市牡丹区人民检察院指控：2011年4月24日上午11时50分许，在菏泽市牡... | 重大责任事故 | 3 | NIv2 | task1667_cail2018_answer_generation | zs_opt | [
-0.3236052691936493,
0.3321366310119629,
-0.31117579340934753,
-0.6829754710197449,
0.4187910854816437,
-0.19700944423675537,
-0.28958696126937866,
0.4424743056297302,
-0.7764720916748047,
0.6641708612442017,
-0.24981069564819336,
0.11936421692371368,
0.26992300152778625,
0.092394113540649... |
Teacher: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Teacher: Now, understand the problem? If you are still confused, see the following example:
I have bought several of th... | False | 2 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
-0.31982433795928955,
-0.37101244926452637,
0.47118133306503296,
-0.1913323998451233,
0.03381390869617462,
-0.2814980149269104,
0.7246180772781372,
0.4310227036476135,
-0.07175281643867493,
-0.40643733739852905,
-0.0843019038438797,
0.038904570043087006,
-0.3712136447429657,
-0.40676963329... |
Given the task definition, example input & output, solve the new input case.
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Example: CONTEXT: La histor... | El presidente colombiano Juan Manuel Santos | 1 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.26374006271362305,
-0.023674335330724716,
-0.352866530418396,
0.09520730376243591,
0.5566742420196533,
-0.20180979371070862,
1.08330500125885,
0.8636695146560669,
-0.48544126749038696,
0.1623961627483368,
-0.19592587649822235,
0.4517405033111572,
-0.10415494441986084,
0.1323252022266388,... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Input: 周りの実際の世界と連携することもできます
Output: | אתם יכולים גם לתכנת שיתממשק עם העולם הפיסי סביבכם. | 3 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.19652706384658813,
0.7602773904800415,
0.29547280073165894,
0.059371497482061386,
-0.27556484937667847,
-0.34007972478866577,
-0.05030861124396324,
-0.18526384234428406,
0.7530782222747803,
-0.02288435772061348,
-0.8159140348434448,
0.8348569869995117,
-1.0291862487792969,
-0.0401492565... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
[EX Q]: Title: The Spid... | 54123
| 6 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.47425755858421326,
-0.14844372868537903,
-0.5222471952438354,
-0.42482298612594604,
0.2927815020084381,
-1.0547244548797607,
0.3806929588317871,
0.8404717445373535,
-0.6405354142189026,
-0.03552915155887604,
-0.4688471555709839,
-0.0455629900097847,
-0.6871792078018188,
-0.01212703809142... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ'... | Solution: ADJ | 5 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.7786421179771423,
0.4195641279220581,
0.09162271022796631,
-0.026048246771097183,
0.17530331015586853,
-0.7910124659538269,
0.7741221189498901,
0.908139705657959,
-0.7643975019454956,
-0.28861498832702637,
-0.2297360897064209,
0.10764565318822861,
-0.6441778540611267,
0.4132694900035858,... |
Instructions: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Input: Context: Sydney made a care package for their friend who was at the hospital.
Answer: wanted to make their friend... | Why did Sydney do this? | 3 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.5500379800796509,
1.0823960304260254,
0.6046687960624695,
-1.0539133548736572,
0.25818485021591187,
-1.2647314071655273,
0.08107908070087433,
0.3477492332458496,
1.035481572151184,
-0.12963567674160004,
0.5746510028839111,
1.115648865699768,
-0.5452282428741455,
0.006526576355099678,
... |
Teacher:Given a passage with a context and an answer, 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 ... | Is sustained phosphorylation of Bid a marker for resistance to Fas-induced apoptosis during chronic liver diseases? | 6 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.475483775138855,
0.03533833473920822,
-0.32133400440216064,
-0.24166174232959747,
0.2156791239976883,
-0.8337720632553101,
0.7481149435043335,
1.050419569015503,
0.08912119269371033,
-0.060564350336790085,
-0.9328217506408691,
0.3194533884525299,
-0.6953644752502441,
0.22252628207206726,... |
Teacher:In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. 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 grammatically correct version of the input stream. Stream ... | ['In', 'so', 'much', '19th', 'century', 'paiting,', 'figures', 'in', 'active', 'narrative', 'are', 'kind', 'of', '', 'story', 'before', 'us,', 'and', 'we', 'watch', 'them', 'as', 'if', "we're", 'an', 'audience', 'looking', 'into', 'the', 'space.', 'But', 'with', 'the', 'work', 'of', 'Caspar', 'David', 'Friedrich', '', ... | 6 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.46447768807411194,
0.46356263756752014,
-0.00939645804464817,
-0.6246232390403748,
0.15240228176116943,
-0.6650680303573608,
0.16117499768733978,
0.832938551902771,
0.010064627975225449,
0.24196767807006836,
0.32686764001846313,
-0.11543900519609451,
-0.44899606704711914,
-0.565664768218... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Problem:זה לא יכול להיות. זה לא יכול להיות שאני מצפה למספר מסויים של איורים, ובשבילי זו שיטת הכימות להערכת הצוות.
Solution: | Esto no puede ser. No puede ser que esté esperando un cierto número de bocetos, y que para mí ese sea el método de medir la calidad de un equipo. | 8 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.9339743852615356,
0.7776572108268738,
0.805760383605957,
0.156840980052948,
-0.07921759784221649,
0.4704587757587433,
0.24070461094379425,
0.48808425664901733,
0.775719404220581,
-1.4862462282180786,
-0.18200446665287018,
-0.05076315999031067,
0.18983517587184906,
0.26063865423202515,
... |
Given the task definition, example input & output, solve the new input case.
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied wi... | True | 1 | NIv2 | task494_review_polarity_answer_generation | fs_opt | [
-0.4746166169643402,
0.23987489938735962,
0.12127747386693954,
0.15140867233276367,
0.35128068923950195,
-0.07357969880104065,
0.715855598449707,
0.28406432271003723,
0.14989525079727173,
0.1451781690120697,
-0.24423997104167938,
0.3372650146484375,
-0.3594869375228882,
-0.6966911554336548... |
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 odd 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 odd numbers in an inner list you shoul... | [47, -45, 17, -1029, 0, 33, 329, -16341247] | 8 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.14847557246685028,
-0.19447802007198334,
-0.782270073890686,
-0.30665290355682373,
0.24811871349811554,
-0.4079284071922302,
1.1799278259277344,
0.7825671434402466,
-0.4247701168060303,
0.04575987160205841,
-1.073566198348999,
-0.15112173557281494,
-0.5246568918228149,
-0.015638176351785... |
Teacher:You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer with... | when the band walked on stage | 6 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
1.0480892658233643,
0.4983815550804138,
-0.40923935174942017,
0.4792478084564209,
-0.023486502468585968,
-0.253557026386261,
0.5789362192153931,
0.6229443550109863,
-0.08747263997793198,
1.0992130041122437,
-0.06821247190237045,
-0.2227092981338501,
-0.09279310703277588,
-0.265509277582168... |
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... | Yes | 4 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.4431282579898834,
-0.0010905268136411905,
0.3589421510696411,
0.014937144704163074,
-0.3810991942882538,
-0.8753403425216675,
0.7022693157196045,
0.6941488981246948,
-0.44497475028038025,
-0.2127530425786972,
-0.5593931078910828,
-0.42170846462249756,
-0.38103657960891724,
-0.25751769542... |
Given the task definition, example input & output, solve the new input case.
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the ... | green_envelope | 1 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.7267016172409058,
-0.6529438495635986,
-0.3154009282588959,
0.20516689121723175,
0.35984310507774353,
-0.08182592689990997,
0.11602699756622314,
0.7808315753936768,
-0.024062825366854668,
0.0840158611536026,
-0.43815746903419495,
0.18281972408294678,
-0.024753525853157043,
0.013115515932... |
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.
Q: Sentence: 'a train on a track across from security fence'. Count the number of consonants in the given sentence.
A: | 23 | 4 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.618093729019165,
0.8034618496894836,
-0.8597450852394104,
-0.6983189582824707,
-0.07422599196434021,
0.1273805797100067,
-0.5678417682647705,
0.5939561128616333,
-0.020652787759900093,
-0.5583962202072144,
-0.8546687960624695,
-0.46869075298309326,
-0.21177397668361664,
-0.49238789081573... |
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.
--------
Question: Passage: At the time of the transfer of power, the state of Ja... | Turkestan.
| 7 | NIv2 | task002_quoref_answer_generation | fs_opt | [
0.9659808874130249,
0.46679335832595825,
-0.45602959394454956,
-0.21821163594722748,
0.22892099618911743,
-0.034040793776512146,
0.827342689037323,
0.6385601758956909,
-0.22307324409484863,
0.03437048941850662,
-0.13841059803962708,
-0.05829359591007233,
-0.648946225643158,
0.3068111836910... |
Definition: 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, otherwise generate "False".
Input: Reviews: I purchased this item b... | True | 2 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.32187753915786743,
-0.03079257905483246,
-0.4236992299556732,
0.13167013227939606,
-0.13921231031417847,
0.018010050058364868,
0.7424028515815735,
0.46483200788497925,
0.002423360012471676,
0.20425589382648468,
-0.5602779984474182,
0.4025878310203552,
-0.3700837194919586,
-0.01230573002... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
I'm going to talk now about how world population has changed from that year and into the future, but I will not use digital technology, as I've done during my first five TEDTalks. | Agora vou falar sobre cómo a poboación mundial cambiou dende aquel ano e cara o futuro pero non vou utilizar tecnoloxía dixital como xa fixera nas miñas 5 primeiras TEDTalks. | 0 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-1.1324974298477173,
1.3714218139648438,
-0.09573490917682648,
-0.6259629130363464,
-0.31601712107658386,
-1.2192673683166504,
-0.5633078217506409,
0.9244526624679565,
-0.4852771461009979,
0.018217220902442932,
0.19975315034389496,
0.3613399267196655,
-0.973208487033844,
-0.263857066631317... |
Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Ex Input:
FRANKFURT/LONDON (Reuters) - Gucci-owner Kering (PRTP.PA) plans to spin off German sports brand Puma (PUMG.DE) to the French cong... | Roy Moore
| 1 | NIv2 | task419_persent_answer_generation | fs_opt | [
-0.7358324527740479,
0.3774905204772949,
-0.3543282747268677,
0.17902648448944092,
0.34933289885520935,
0.5212014317512512,
0.3424811363220215,
0.6142229437828064,
0.23225225508213043,
0.42314451932907104,
-0.007583746686577797,
0.8970007300376892,
-0.35249853134155273,
0.03253529593348503... |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: തന്റെ സ്വന്തം അനുഭവത്തില് രാജ്യത്തിലും, സമൂഹത്തിലും മാറ്റങ്ങള് കൊണ്ടുവരാനുള്ള പ്രസ്ഥാനത്തെ ദൈനിക് ജാഗരണ് ശക്തിപ്പെടുത്തിയത... | தைனிக் ஜாக்ரன் நாட்டிலும் சமூகத்திலும் மாற்றம் கொண்டுவரும் இயக்கத்திற்கு வலு சேர்த்துள்ளதை தனது சொந்த அனுபவத்தில் கண்டுள்ளதாக பிரதமர் கூறினார். | 9 | NIv2 | task999_pib_translation_malayalam_tamil | zs_opt | [
0.19020280241966248,
0.377910852432251,
0.5182486772537231,
-0.7039086818695068,
-0.1359425038099289,
-1.5412719249725342,
0.551751434803009,
0.2038765698671341,
-0.704654335975647,
0.21735993027687073,
-0.5426307320594788,
-0.1789168268442154,
-1.5182290077209473,
-0.1382541060447693,
-... |
Q: 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.
Sentence1: Briana was four wheeling with her friends. Sentence2: She was speeding down a road when she crashed and fell. Sentence3: She landed and although she felt... | Briana, Friends | 7 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.16321459412574768,
0.7461883425712585,
-0.2053026556968689,
-0.21605776250362396,
-0.20226681232452393,
-0.20493477582931519,
0.9945708513259888,
0.4557664394378662,
0.23252978920936584,
-0.20369082689285278,
-0.6525416374206543,
0.14328718185424805,
0.13765402138233185,
0.10385985672473... |
You will be given a definition of a task first, then some input of the task.
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 o... | 5783, 1925, B, 1203 | 1 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.08044028282165527,
0.15685412287712097,
-0.7539072632789612,
-0.6803452968597412,
-0.14879447221755981,
0.008410422131419182,
0.6634927988052368,
-0.3375944495201111,
-0.134730264544487,
0.0818198174238205,
-0.868314266204834,
-0.22085565328598022,
0.18121913075447083,
-0.001441506668925... |
Given the task definition and input, reply with output. 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 ... | [113, 103, 3, 569, 773] | 5 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.44765543937683105,
0.41498327255249023,
-0.2304210066795349,
-0.36031293869018555,
0.19262659549713135,
-0.20085132122039795,
1.1728204488754272,
0.21405811607837677,
-0.07716095447540283,
0.10528771579265594,
-1.0637385845184326,
-0.4736049175262451,
-0.26566994190216064,
-0.7427027225... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
See one example below:
Problem: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Solution: خوب ، من چیزی ... | و ما همجنس ستیز نیستیم. | 4 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.29083383083343506,
0.39663878083229065,
-0.1667424738407135,
0.014893497340381145,
-0.22454863786697388,
-0.6078050136566162,
0.49363380670547485,
0.5275805592536926,
-0.15690891444683075,
-0.07761424779891968,
-0.7995007038116455,
0.46660417318344116,
-0.13046994805335999,
-0.149432301... |
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: Carrie GracieChina editor@BBCCarrieon Twitter The quotation is attributed to Albert Einstein but after a torrid few days on the Korean peninsula, i... | Why Beijing should lead on the North Korean crisis | 4 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
-0.03114946186542511,
0.4907763600349426,
-0.4229121804237366,
-0.6215064525604248,
0.827908992767334,
-0.3608071208000183,
0.299701064825058,
0.8296785950660706,
0.23044897615909576,
0.2764408588409424,
0.12406541407108307,
0.6912286877632141,
-0.3945464491844177,
0.4277529716491699,
-0... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
[Q]: English: On his return home, Safarov was met with a hero's welcome, given a pa... | Yes
| 5 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.049072787165641785,
-0.0495833083987236,
-0.06416527181863785,
-0.19727137684822083,
0.07871721684932709,
-0.36668190360069275,
0.06197638809680939,
0.35696691274642944,
-0.05712351202964783,
-0.48522627353668213,
-0.5329533219337463,
0.7113558053970337,
-0.9613138437271118,
0.2603801488... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Example: Un bărbat pune brânză mărunțită pe o pizza.
Example solution: A man is spreading shreded cheese on a pizza.
Example explanation: In the given translation process, the tense... | Solution: The headlights on a blue car. | 5 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.44438636302948,
0.6533404588699341,
0.6924808025360107,
-0.09405265003442764,
-0.23738758265972137,
0.10661454498767853,
0.8445624709129333,
0.9510737657546997,
0.5380628108978271,
-0.0054908930324018,
-0.4119957685470581,
0.7604800462722778,
-0.35023534297943115,
-0.025640573352575302,... |
instruction:
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 concl... | Most aquatic organisms do not have to deal with extremes of temperature or wetness.
| 9 | NIv2 | task038_qasc_combined_fact | fs_opt | [
-0.03696977719664574,
0.6082409620285034,
-1.0139548778533936,
0.08562470972537994,
-0.737796425819397,
-1.5654127597808838,
0.0531136691570282,
0.9902058839797974,
-0.7439234256744385,
0.058784231543540955,
-0.7360368967056274,
0.16395637392997742,
-0.15857601165771484,
-0.091665305197238... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Q: ['n', 'E', 'F', 'W', '8557', 'Y', '4849', '187', '4657', '641']
A: | 8557, 4849, 187, 4657, 641 | 4 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.34112316370010376,
0.5698229074478149,
0.12296395003795624,
-0.9180114269256592,
-0.12865859270095825,
-0.8907424807548523,
0.5678673982620239,
-0.22919054329395294,
-0.2509509325027466,
0.5367618203163147,
-0.3222913146018982,
0.2721644639968872,
-0.24263733625411987,
0.0916790366172790... |
Given the task definition and input, reply with output. 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 lis... | [-26, -12, -48, -8, 18, 53760] | 5 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.5758612155914307,
0.7027934193611145,
-0.16576288640499115,
-0.22716684639453888,
-0.07812917232513428,
-0.17197482287883759,
1.024932861328125,
-0.006450301501899958,
0.04833889752626419,
-0.24699711799621582,
-0.6260660290718079,
0.2356758862733841,
-0.5262188911437988,
-0.28559520840... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
question:
Nei suoi sogni, piroetta e gira con le dita dei piedi bacia la terra.
answer:
W snach obraca się i wiruje, a palcami nóg całuje Ziemię.
question:
Per cominciare vorrei introdurre dei personaggi da un... | Zawarłem w niej opowieści mojej babci. Zawarłem w niej opowieści mojej babci.
| 9 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-0.4089409410953522,
1.463974118232727,
-0.3345922529697418,
0.05567404627799988,
-0.5943114757537842,
-0.5028287172317505,
1.3100204467773438,
-0.5773423910140991,
-0.7516082525253296,
-0.7803981304168701,
-0.3033500015735626,
0.6819223761558533,
-0.5689868927001953,
0.08640416711568832,
... |
Detailed Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: پس با نعمت و بخششى از جانب خدا، [از میدان نبرد] بازگشتند، در حالى که هیچ آسیبى به آنان نرسیده بود، و همچنان خشنودى خدا را پیروى کردند، و خداوند داراى بخششى عظیم است.
A: | And returned with God's favour and grace without harm, for they attended the pleasure of God; and great is the benevolence of God. | 9 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.97666335105896,
1.1522483825683594,
-0.36988699436187744,
-0.8585806488990784,
-0.8265658617019653,
-0.5588902831077576,
1.4502218961715698,
0.6959061622619629,
0.406919002532959,
-0.4262939989566803,
-0.8737656474113464,
1.376079797744751,
-0.41170573234558105,
0.462260365486145,
0.0... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Example input: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina (B) Christine
Example output: B
Exampl... | B | 3 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.19446873664855957,
0.004913701675832272,
0.04771909490227699,
-0.4954091012477875,
-0.20003649592399597,
-0.8102148771286011,
0.8447304964065552,
0.4340214133262634,
-0.199681356549263,
0.5289942622184753,
0.3658496141433716,
0.35046523809432983,
0.4122942090034485,
0.039531562477350235,... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
همین و بس. آخر داستان!
A: | Period. End of story. | 7 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
0.03938698023557663,
0.8960586786270142,
0.2469410002231598,
-0.22143936157226562,
-0.9808089137077332,
-0.29195085167884827,
0.6010460257530212,
0.22820185124874115,
0.599652111530304,
-0.25128859281539917,
-0.4298169016838074,
0.6530706882476807,
0.553491473197937,
0.6271458864212036,
... |
Detailed Instructions: In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the ... | No | 9 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.8255013823509216,
0.1813334822654724,
-0.08853837847709656,
0.9535021781921387,
-0.47143927216529846,
-0.45913657546043396,
0.2948719561100006,
1.0282065868377686,
0.3243844509124756,
-0.33650505542755127,
-0.27173924446105957,
-0.7773292660713196,
-0.35851067304611206,
0.27417528629302... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
See one example below:
Problem: Brindo soluciones. Estoy muy feliz.
Solution: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Explanation: The Spanish sentence is correctly translated into Polish, b... | RM: Dziękuję. (JC: Dziękuję ci, Reuben.) (Brawa) | 4 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.7293974757194519,
1.2203142642974854,
-0.4328497052192688,
-0.4738633930683136,
-0.05945761501789093,
-0.8069148659706116,
0.7610039114952087,
-0.022937241941690445,
0.41171032190322876,
-0.1966114342212677,
-0.2867622971534729,
0.7038644552230835,
-0.5693973898887634,
0.228563338518142... |
Teacher:In this task, you are given an article. Your task is to summarize the article in a sentence.
Teacher: Now, understand the problem? Solve this instance: So perhaps we should be profoundly grateful that the coalition government elected in 2010 failed so miserably in its ambition to rebalance the UK towards the ma... | If the British economy was driven by manufacturing we could well be in seriously dire economic straits, figures released today show. | 6 | NIv2 | task1290_xsum_summarization | zs_opt | [
0.1991400271654129,
0.9606133103370667,
-0.8893543481826782,
-0.2263500988483429,
0.6830331087112427,
-0.14187614619731903,
0.00011811917647719383,
0.949586033821106,
-0.7859740257263184,
0.5185202956199646,
-0.29640042781829834,
0.651138186454773,
-0.36276209354400635,
0.37245339155197144... |
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