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 |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PersonX... | wigs | 1 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
-0.28169941902160645,
0.8944164514541626,
-0.40944474935531616,
-0.2071923315525055,
0.08633363246917725,
-0.2634431719779968,
1.175525188446045,
0.6833555698394775,
-0.30246180295944214,
-0.7819463014602661,
-0.47112828493118286,
-1.2593927383422852,
-0.2973408102989197,
-0.11204958707094... |
Given the task definition and input, reply with output. In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by... | None | 5 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.7044195532798767,
0.7138930559158325,
0.1937846541404724,
0.17269906401634216,
0.3410016894340515,
0.13757188618183136,
0.005256044678390026,
0.7612441778182983,
0.15338227152824402,
-0.029879307374358177,
-0.7095748782157898,
-0.33425554633140564,
-0.39253780245780945,
-0.2080292850732... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Problem:Comment: I know this may be hard for so... | Non-sexual-explicit | 8 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-0.8155968189239502,
0.11029776930809021,
0.1402663290500641,
-0.07401534914970398,
0.000722002238035202,
-0.16999360918998718,
0.06480136513710022,
0.8107216954231262,
0.4421406388282776,
0.586417555809021,
0.4656778573989868,
-0.244394451379776,
0.061260320246219635,
-0.6480463743209839,... |
In this task, you are given a paragraph and question in Chinese, and your task is to generate the right answer for the given question from the passage. Construct an answer in such a way that (i) it is unambiguous, (ii) it is extracted from the passage, (iii) it is relevant to the question asked, and (iv) its answer is ... | 日本岩手县西磐井郡平泉町平泉字泉屋 | 0 | NIv2 | task1570_cmrc2018_answer_generation | zs_opt | [
0.11581979691982269,
-0.3816479444503784,
-0.07081729173660278,
0.32300788164138794,
1.0764214992523193,
-0.30455341935157776,
0.4093409776687622,
0.7258658409118652,
0.18295156955718994,
-0.21686741709709167,
-0.5108643174171448,
1.1500933170318604,
0.20023220777511597,
0.2728122472763061... |
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 words o... | the kitchen
| 6 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
1.001891851425171,
0.06165684759616852,
-0.6911319494247437,
0.8648916482925415,
-0.11853751540184021,
-0.17736148834228516,
1.1627659797668457,
0.8703114986419678,
-0.010553291067481041,
0.09338931739330292,
0.08437628298997879,
-0.04086989909410477,
-0.8299292922019958,
0.118931666016578... |
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Let me give you an example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで... | The death toll from the first 13 days of the Israeli offensive was 770 Palestinians and 14 Israelis. | 8 | NIv2 | task436_alt_ja_en_translation | fs_opt | [
0.785749077796936,
0.9050045013427734,
-0.11977563798427582,
0.42622971534729004,
-0.06411206722259521,
-0.5684040188789368,
0.25428318977355957,
-0.10862885415554047,
0.586825966835022,
-0.39821353554725647,
-0.2522018253803253,
0.618567705154419,
-0.3796728849411011,
0.10029712319374084,... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Swedish 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 Swedish language. 2)... | De fick sig en mycket trevlig afton och satt uppe sent och när det var dags att gå och lägga sig var de (detta inträffade på den tiden då Georges far var en mycket ung man) på mycket gott humör. | 4 | NIv2 | task1648_opus_books_en-sv_translation | zs_opt | [
-0.6578437089920044,
0.8682968616485596,
-0.25171923637390137,
-0.7207375764846802,
-0.21101337671279907,
-1.2747712135314941,
1.4359300136566162,
-0.017895089462399483,
0.280917763710022,
-0.5348303318023682,
0.020324725657701492,
0.8967729806900024,
-1.037088394165039,
-0.369476199150085... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
[EX Q]: ['8931', ... | 1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 18, 19, 20
| 6 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.2113022655248642,
-0.0938166156411171,
-0.2940481901168823,
-0.48344045877456665,
-0.09312251955270767,
-0.43121546506881714,
0.7613798379898071,
0.38758260011672974,
-0.6220767498016357,
0.3447020649909973,
-0.5839943885803223,
0.16316944360733032,
-0.32502681016921997,
0.1024480760097... |
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.
บอนด์สยืนกรานว่าเขาไม่รู้ตัวว่าถูกครูฝึกให้ยาสเตียรอยด์
| ボンズは、トレーナーが彼にステロイドを与えていると認識していなかったと主張しつづける。 | 5 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
0.15142497420310974,
0.2121957242488861,
-0.6898576021194458,
-0.2744605541229248,
-0.06834685802459717,
-0.9694342017173767,
0.7024720907211304,
0.24126052856445312,
0.260547399520874,
-0.28903037309646606,
-0.8715486526489258,
0.6381351947784424,
-0.5881224870681763,
0.496542364358902,
... |
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 though there exist ... | Washington
| 3 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.0629129707813263,
0.6267571449279785,
-0.30908405780792236,
-0.18346616625785828,
0.36681219935417175,
-0.7046124339103699,
0.6616643667221069,
0.9283513426780701,
-0.5591887831687927,
0.0777265876531601,
0.05631972849369049,
0.54215407371521,
-0.8046704530715942,
-0.09817561507225037,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
ولی می دونید مسئله مهم اینجا چیه ؟ | אבל אתם יודעים מה העניין החשוב הוא? | 0 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.6175338625907898,
1.1128549575805664,
-0.019230250269174576,
0.39070749282836914,
-0.7139362096786499,
0.34968283772468567,
0.3224368989467621,
-0.16876746714115143,
0.9580485224723816,
-0.2515947222709656,
-0.7481458187103271,
-0.06598889827728271,
-0.2024417668581009,
0.54630637168884... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Problem:これはみな本当に興味深いです
Solution: | Así que isto é un conxunto moi, moi interesante. | 8 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
0.11935906112194061,
0.6051342487335205,
0.5207200646400452,
-0.616847038269043,
-0.3841044008731842,
-1.0138263702392578,
0.7569218873977661,
-0.09155798703432083,
0.355130136013031,
-1.0096862316131592,
-0.7212581634521484,
0.17234861850738525,
-0.6625950932502747,
0.5165491104125977,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Let me give you an example: Sentence 1: Next to the... | telephone | 8 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-1.1110831499099731,
0.4379013776779175,
-0.023768603801727295,
-0.5510784387588501,
-0.10323990881443024,
-0.1434711217880249,
-0.41860783100128174,
0.6459258198738098,
0.18858113884925842,
-0.33772897720336914,
-0.43807053565979004,
-0.1271008998155594,
-0.453433632850647,
-0.46365225315... |
Part 1. Definition
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Part 2. Example
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Answer: a, ... | W, 5417, e, t, m, 3187, 4535 | 7 | NIv2 | task063_first_i_elements | fs_opt | [
0.22019320726394653,
0.40298089385032654,
-0.22380618751049042,
-0.4942399263381958,
0.26588377356529236,
-0.08335819840431213,
0.702817440032959,
0.35623258352279663,
0.16066060960292816,
-0.149712473154068,
-1.0978471040725708,
-0.23359951376914978,
-0.1998261660337448,
-0.52060526609420... |
Given a scientific question, generate a correct answer to it.
Example Input: Microwaves are converted into what kind of energy in a microwave oven?
Example Output: thermal energy
Example Input: Luster, malleability, ductility, and conductivity are all properties of which kind of material?
Example Output: metals
Exam... | infertile
| 3 | NIv2 | task591_sciq_answer_generation | fs_opt | [
0.14282111823558807,
0.9697755575180054,
-0.2879803478717804,
0.13493841886520386,
-0.2585238814353943,
-0.5447686910629272,
0.0012355133658275008,
0.5590692162513733,
-0.3510867953300476,
0.28813624382019043,
-0.16552734375,
0.07523524761199951,
-0.35021334886550903,
-0.5841904878616333,
... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 情報不足が問題で、超党... | Yes | 5 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.8346136808395386,
0.02460431680083275,
0.005727414973080158,
0.1744815707206726,
-0.28224167227745056,
-0.613632321357727,
0.4520600736141205,
-0.02739281952381134,
-0.25343242287635803,
-0.25207337737083435,
-0.6157557964324951,
0.26377055048942566,
-0.867119550704956,
0.52343910932540... |
Instructions: In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Input... | Mildred Loving in Loving | 3 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
-0.5753774046897888,
0.8918302059173584,
-0.05580117180943489,
0.6297609210014343,
0.9615686535835266,
-0.3965839743614197,
-0.10025051236152649,
0.5170880556106567,
-0.5833666324615479,
0.14875945448875427,
0.025624537840485573,
-0.6582536697387695,
-0.595565915107727,
-0.8768808245658875... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of numbers 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 ... | 147.895 | 1 | NIv2 | task094_conala_calculate_mean | zs_opt | [
-0.47766146063804626,
0.5346353054046631,
-0.9359574317932129,
-0.848375678062439,
0.09734546393156052,
0.5840457081794739,
0.3859274983406067,
0.265921950340271,
-0.19027508795261383,
0.19883278012275696,
-1.141848087310791,
0.41128408908843994,
-0.5881960988044739,
-0.18903014063835144,
... |
Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not ref... | No | 8 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-0.9034663438796997,
0.2662469744682312,
0.34004372358322144,
0.25078004598617554,
0.36585238575935364,
-0.09061728417873383,
0.03826504200696945,
0.40725183486938477,
0.16327065229415894,
0.1403275579214096,
0.005329955369234085,
-0.3140491545200348,
-0.29808223247528076,
-0.6755142807960... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Example: E eu continuo a pensar que o transporte é o centro deste universo.
Output: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
The P... | من حتی یک نفرو هم نمیشتاختم. | 1 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.3621680438518524,
0.7036354541778564,
0.11831928044557571,
0.5581284761428833,
-0.6513098478317261,
0.1791692078113556,
0.2345874309539795,
0.6088058948516846,
0.22090953588485718,
-0.07674071192741394,
-1.0236618518829346,
0.2962810695171356,
-0.04696229472756386,
0.418992280960083,
... |
You will be given a definition of a task first, then some input of the task.
Read the given summary of events, and write a longer story which covers everything described in the summary. The story you write should be longer than the summary you read, but should not repeat itself. The story should be made up of sentences... | After working very hard we were able to pre-order the dinner. We used several different tactics/questions to figure out what to order for the couple, without them knowing anything. It was fun picking out the food. We talked to the concierge about having musicians come also. We talked with them and discussed the type of... | 1 | NIv2 | task853_hippocorpus_long_text_generation | zs_opt | [
0.266871839761734,
0.3688126802444458,
-0.4251319468021393,
-0.12771987915039062,
-0.20285049080848694,
-0.5718152523040771,
0.5504206418991089,
0.1655254065990448,
-0.016645003110170364,
-0.04883534461259842,
0.04173979163169861,
-0.052009712904691696,
-0.40313446521759033,
0.027401011437... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Let me give you an example: Media łączyły się z nami.
The answer to this example can be: Os "" media "" interligavam-se connosco.
Here is why: The Polish sentence is correctly translated into Portugese, because the meaning... | Permitam-me explicar-vos o que quero dizer com "" onda gravitacional "". | 8 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.4131084084510803,
0.9512640833854675,
0.3930065631866455,
-0.8907856345176697,
0.12110991775989532,
-0.7994247674942017,
0.7098343372344971,
-0.10077231377363205,
0.08803268522024155,
-0.20439231395721436,
-0.3275737762451172,
0.7430205345153809,
-1.1301298141479492,
0.00354178994894027... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Outra possibilidade, bastante óbvia, é a homofilia, ou "" diz-me com quem andas e dir-te-ei quem és "". Aqui, eu formo um relacionamento con... | Inna możliwość, bardzo oczywista, to homofilia lub inaczej ptaki tworzące stado. Tutaj, tworzę z tobą więź, ponieważ łączy nas podobny rozmiar ciała. | 1 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.8620690107345581,
0.6108909845352173,
0.3019549250602722,
-0.3011581301689148,
-0.6970028877258301,
-0.4575843811035156,
0.44151759147644043,
-0.7845008373260498,
0.08589120954275131,
-0.4870537519454956,
-0.7290634512901306,
0.1551506072282791,
-0.5421788096427917,
0.22547851502895355,... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Q: Today I'm going to start with eight to show you how the method works.
A: | Hoxe empezarei con oito para amosarlles como funciona o método | 4 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.6619908213615417,
0.5846472978591919,
-0.4269711673259735,
-0.8351346254348755,
-0.2941341996192932,
-0.6930510997772217,
0.40603846311569214,
0.8706005215644836,
-0.86909419298172,
-0.6500011682510376,
-0.22861602902412415,
0.47379177808761597,
-0.557288408279419,
0.05331916734576225,
... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Ex Input:
Beginning: My... | 1
| 1 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.18457891047000885,
0.35234254598617554,
0.32005858421325684,
-0.11236529797315598,
-0.25337642431259155,
-0.3702932894229889,
-0.02812904864549637,
1.0349500179290771,
-0.13032609224319458,
0.3296230435371399,
-0.6856077313423157,
-0.09079883992671967,
-0.31264621019363403,
-0.724908590... |
TASK DEFINITION: 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... | joy
| 8 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.15841051936149597,
-0.3285263776779175,
0.5610928535461426,
-0.5306268930435181,
0.0029453628230839968,
-0.2574229836463928,
0.559589147567749,
1.1369515657424927,
-0.1336953043937683,
-0.3514772653579712,
-0.34603050351142883,
-0.11148888617753983,
0.271206796169281,
0.0368078052997589... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
اگر شعاع دایره اي بیست درصد افزایش یابد مساحت دایره چند درصد اف... | C | 1 | NIv2 | task473_parsinlu_mc_classification | zs_opt | [
-1.1427526473999023,
1.112488865852356,
-0.04876118153333664,
-0.25343912839889526,
-1.1139230728149414,
0.4037894010543823,
1.6792711019515991,
0.48834532499313354,
0.7622895240783691,
-0.01502978801727295,
-0.5514743328094482,
0.11126486212015152,
-0.6063272953033447,
-0.1747373342514038... |
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 | task1212_atomic_classification_hasproperty | fs_opt | [
0.19854134321212769,
-0.011003362014889717,
0.046776607632637024,
0.2598942518234253,
-0.27707749605178833,
-0.8845036029815674,
0.9373089075088501,
0.9773890376091003,
-0.6006324291229248,
-0.08525365591049194,
-0.6518328785896301,
-0.2363448292016983,
-0.7268683910369873,
-0.101398482918... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | No | 8 | NIv2 | task357_casino_classification_negotiation_small_talk | fs_opt | [
0.15860092639923096,
0.8880700469017029,
-0.844176173210144,
-0.1097082570195198,
-0.5403059124946594,
-0.640196681022644,
0.8232025504112244,
0.4858216345310211,
-0.4015541076660156,
-0.1530468761920929,
-0.01749284192919731,
0.41704535484313965,
-0.7136810421943665,
-0.014977066777646542... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
[EX Q]: Context: ... | A
| 6 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
-0.5177478790283203,
0.5395070314407349,
-0.015257332473993301,
-0.19195473194122314,
-0.17978361248970032,
-0.006157763302326202,
0.20909483730793,
0.5352849960327148,
-0.6478337645530701,
-0.09635299444198608,
0.06912536919116974,
-0.5793290138244629,
-0.38247665762901306,
-0.86536210775... |
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate... | C
| 3 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
-0.05797978863120079,
0.20258139073848724,
-0.626062273979187,
-0.33814749121665955,
0.7377831935882568,
-0.05562659353017807,
0.5329464077949524,
0.806564211845398,
-0.31175583600997925,
0.2780778706073761,
-0.34826886653900146,
0.00815565325319767,
-0.006690109148621559,
-0.0510595440864... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | N
| 3 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.9393620491027832,
0.4036879539489746,
0.14024777710437775,
-0.3197714686393738,
0.2217334508895874,
0.29548776149749756,
0.09326023608446121,
0.9941635131835938,
-0.12134659290313721,
0.33312320709228516,
-0.37336552143096924,
0.25143295526504517,
-0.5654535293579102,
-0.283679157495498... |
Given the task definition and input, reply with output. Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect ... | some books. | 5 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
-0.02247808873653412,
0.850294828414917,
-0.4078858494758606,
0.3869244158267975,
-0.13945123553276062,
-0.7919052243232727,
0.0028015384450554848,
1.377770185470581,
-0.2845408022403717,
0.29070374369621277,
-1.3393049240112305,
0.5314087271690369,
-1.0579909086227417,
0.21219134330749512... |
Given the task definition and input, reply with output. Given a sentence in Arabic, generate a new Arabic 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 plausi... | إذا كنت تريد الانتظار، فعليك فحص نوبات الربو. | 5 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
-0.4840319752693176,
0.7897049188613892,
0.5557719469070435,
-0.2526569962501526,
-0.4504905343055725,
0.28105950355529785,
1.1519451141357422,
0.5749294757843018,
0.2905072271823883,
-0.15728691220283508,
-1.2349863052368164,
0.24426352977752686,
-0.5313735604286194,
-0.038142018020153046... |
In this task, you are given music 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.
One example: アルトゥール・ルービンシュタインの豪華ボックス・セット . 今世紀を代表する大物ピアニストの一人、アルトゥール・ルービンシュタインの残した正規の録音をC... | POS | 6 | NIv2 | task487_cls_japanese_music_classification | fs_opt | [
0.2682274580001831,
-0.322299599647522,
-0.5986489057540894,
0.45132845640182495,
0.8574925661087036,
-0.35153070092201233,
1.4696016311645508,
0.3627565801143646,
0.0486779510974884,
0.6197062730789185,
-0.0390295535326004,
0.46614158153533936,
-0.31937816739082336,
-0.0914606899023056,
... |
instruction:
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 h... | No
| 9 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
1.021437168121338,
0.06979589909315109,
0.38489460945129395,
-0.10258020460605621,
-0.5969730615615845,
-1.3167939186096191,
1.3052079677581787,
0.24555930495262146,
-0.5471926927566528,
-0.26180005073547363,
-0.4642549753189087,
-0.09611974656581879,
-1.2136882543563843,
0.232888862490654... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: ほとんどの業界専門家は懐疑的なままで、そのプログラムは運営するには費用がかかりすぎて厄介で、目に見える商業的な利点を何も生み出さないのではないかと危惧している。
Khame... | No | 4 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.41320329904556274,
-0.35218000411987305,
0.5799524784088135,
-0.468481183052063,
0.16914647817611694,
-0.8508834838867188,
0.40470975637435913,
0.210857093334198,
-0.11836273223161697,
-0.2176254391670227,
0.03138631582260132,
0.4494597911834717,
-0.9854393601417542,
0.4163615107536316,... |
Detailed Instructions: In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra inf... | Lee was trying to teach his mom how to use a computer. | 9 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.5777681469917297,
0.47821250557899475,
0.22604940831661224,
-0.507979154586792,
-0.2894197702407837,
-0.34088438749313354,
0.5577797889709473,
0.5269876718521118,
-0.12882089614868164,
-0.04223540052771568,
-0.4513896107673645,
0.6799174547195435,
-0.6012952923774719,
-0.109865665435791... |
Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should... | Hateful | 3 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.4963969588279724,
0.703391432762146,
0.18218164145946503,
0.5964275598526001,
-0.3814709782600403,
-0.9400961995124817,
0.44565868377685547,
1.7660369873046875,
0.2720467746257782,
0.11161789298057556,
-0.04503464698791504,
0.21547500789165497,
-0.5058486461639404,
-0.6073748469352722,
... |
Teacher:You are given a statement written in Telugu. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? Solve this instance: Statement: అమెరికా-<MASK>ల మధ్య ప్రచ్ఛన్న యుద్ధం... | రష్యా | 6 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
0.5828052163124084,
0.18364495038986206,
-0.5430864095687866,
0.2356366515159607,
0.4529408812522888,
-0.2644471526145935,
-0.03656085208058357,
0.737907886505127,
-0.021068893373012543,
-0.10345947742462158,
-0.23265507817268372,
0.34790581464767456,
-0.14637491106987,
-0.725617527961731,... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` for Yes or... | Solution: b | 5 | NIv2 | task232_iirc_link_number_classification | fs_opt | [
0.6222116947174072,
0.8499711751937866,
-0.39317047595977783,
0.240661159157753,
0.29746556282043457,
-0.3321095108985901,
0.8755612373352051,
0.9192786812782288,
0.09500311315059662,
0.2345191240310669,
-0.7105254530906677,
-0.3668648600578308,
-0.394761860370636,
0.02718801610171795,
0... |
TASK DEFINITION: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of stat... | eq { hop { nth_argmin { all_rows ; departure pune ; 2 } ; train number } ; 99806 }
| 8 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.41117405891418457,
-0.16930390894412994,
-0.5083200931549072,
0.36807700991630554,
0.20483775436878204,
-0.33304187655448914,
0.5827763676643372,
0.3202224671840668,
0.17940205335617065,
-0.3507634699344635,
-0.31394368410110474,
0.039264604449272156,
0.0032769348472356796,
0.51094424724... |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
One examp... | use a pencil eraser | 9 | NIv2 | task080_piqa_answer_generation | fs_opt | [
0.006740419659763575,
0.9271929264068604,
-0.7083747982978821,
0.01496212836354971,
-0.4933800995349884,
-0.20848426222801208,
-0.22881734371185303,
0.4519071877002716,
0.02345583587884903,
0.16361252963542938,
-0.23813378810882568,
0.4033781886100769,
-0.21968626976013184,
0.1111104637384... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | False | 0 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
0.8649673461914062,
-0.6925927400588989,
-0.44681280851364136,
0.706894040107727,
0.8706958889961243,
-0.17357942461967468,
0.7924230098724365,
0.5171123743057251,
-1.2032135725021362,
0.25736135244369507,
-0.4008016586303711,
-0.11448854207992554,
-1.121767282485962,
0.14025063812732697,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
É um mistério, é magia, é divino.
É un misterio, é maxia, é divino.
É uma sensação muito estranha ter uma criatura a tentar devorar-nos, e poucas coisas incentivam tanto o vegetarianismo como uma situação destas.
É... | De feito, se ollamos o código xenético, é a única enfermidade para a que se observa que a xente que viviu en África tivo cambios evolutivos para evita-la morte a causa da malaria.
| 0 | NIv2 | task1279_ted_translation_pt_gl | fs_opt | [
-0.7332968711853027,
0.623442530632019,
0.21385732293128967,
-1.0300450325012207,
-1.153744101524353,
-0.4306199848651886,
0.6291050314903259,
0.2981429696083069,
-0.309879869222641,
-0.3689180016517639,
-0.853958010673523,
-0.28427571058273315,
-1.0511415004730225,
0.4627593755722046,
0... |
In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and "m... | Why did the man make the appointment? (A) He always feels tired recently. (B) He's going on a trip soon. (C) He needs to have an annual health examination.
| 0 | NIv2 | task246_dream_question_generation | fs_opt | [
0.5804008841514587,
0.47308090329170227,
-0.16911408305168152,
-0.23038537800312042,
-0.12136926501989365,
-0.18712617456912994,
0.45884716510772705,
0.16134443879127502,
0.14989382028579712,
-0.1579730212688446,
-0.07274226099252701,
0.2681032419204712,
0.2813790440559387,
0.1744788885116... |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Q: [83, -91, -89]
A: [83, -91, -89]
****
Q: [-94, -63, 10, 16, 4, 8, -90, ... | [43, -86]
****
| 4 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
-0.42403167486190796,
0.0422707200050354,
-0.39463770389556885,
-0.8772844076156616,
0.3094535171985626,
0.270937442779541,
1.0499870777130127,
0.114225372672081,
-0.3315407633781433,
0.12241584807634354,
-0.3773547410964966,
0.13549038767814636,
0.35653913021087646,
-0.5339714288711548,
... |
Q: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Review: Robin Williams and Kurt Russell play guys in their 30's ... | no | 7 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.7472553849220276,
0.5191999673843384,
0.2562335729598999,
-0.08303488045930862,
0.2766500413417816,
-0.2674914598464966,
0.8752483129501343,
0.6129604578018188,
0.5025713443756104,
0.046513497829437256,
-0.3182451128959656,
0.6397881507873535,
-0.4603627622127533,
-0.5112544298171997,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Example Input: E a maioria dos escaravelhos-do-excremento consegue embrulhá-lo numa espécie de embalagem.
Example Output: E la maggior parte degli scarabei stercorari avvolge lo sterco in una sorta di imballaggio.
E... | Così la popolazione è tornata ai seggi per eleggere il proprio presidente, non il sistema legale.
| 3 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.28981339931488037,
0.8791022896766663,
-0.49705520272254944,
0.09577449411153793,
-0.9051282405853271,
-1.1032410860061646,
0.7491535544395447,
0.7782167196273804,
-0.30043068528175354,
-0.5386767387390137,
-0.8109722137451172,
1.1809451580047607,
-0.10375605523586273,
0.667081356048584... |
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 man is talking on the phone next to a building. | 6 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.4678012430667877,
0.8391823172569275,
0.4211844503879547,
-0.6991532444953918,
0.051132068037986755,
-0.08378762006759644,
-0.21074536442756653,
0.6066651344299316,
0.2452670782804489,
-0.028854569420218468,
-0.9218140244483948,
-0.10598915070295334,
-0.5711733102798462,
-0.185339003801... |
Teacher: Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Teacher: Now, understand the problem? If you are still confused, see the following example:
We notice a man in a kayak and a yellow helmet coming in from the left. As he appr... | sleeps in someone's bed with her arm draped over her friend. | 2 | NIv2 | task453_swag_answer_generation | fs_opt | [
-0.0369848757982254,
0.21082210540771484,
0.34635570645332336,
-0.9349862933158875,
-0.03988674283027649,
-0.49650949239730835,
-0.19968587160110474,
0.77461177110672,
0.3962339758872986,
0.48586732149124146,
0.07946785539388657,
-0.2491340935230255,
-0.7292060852050781,
0.2017924189567566... |
Teacher:In this task, you will be shown a correct English sentence. You need to generate an incorrect form of the input sentence.
Teacher: Now, understand the problem? Solve this instance: First of all , old houses are not necessarily suited to the needs of mordern residents .
Student: | First of all , old houses are not necessarily suited to the needs of mordern residents . | 6 | NIv2 | task1558_jfleg_incorrect_answer_generation | zs_opt | [
0.258478045463562,
0.8181277513504028,
-0.16732358932495117,
-0.48146218061447144,
0.1306438148021698,
-0.7602392435073853,
0.10277064144611359,
0.4369884729385376,
-0.1711689680814743,
-0.010722328908741474,
-0.04080261290073395,
-0.08445100486278534,
-1.1502907276153564,
-0.8213782310485... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Q: I don't know if there is a defect but everything is distorted and blurry. Yes, I did take the plastic film off of the mask.
A: | I don't know if there is a defect but everything ... | 4 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
0.3665563464164734,
0.15229815244674683,
0.12992927432060242,
-1.3663197755813599,
0.002250769641250372,
-0.37202101945877075,
0.13100388646125793,
0.42457395792007446,
-0.13317033648490906,
1.1094024181365967,
-0.2080695480108261,
-0.032705534249544144,
-0.631150484085083,
-0.032911784946... |
Instructions: 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".
Input: I tried to convert my friend from an omnivore diet to a vegan diet because I think the _ is unethical. (A) vegan diet (B) omnivore di... | B | 3 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
0.1160687655210495,
0.3948948383331299,
0.22008192539215088,
-0.02430136501789093,
-1.065250039100647,
-0.776922345161438,
0.1960543990135193,
0.7797316312789917,
0.2635737657546997,
-0.11690711975097656,
0.34985244274139404,
-0.4232720136642456,
0.34526288509368896,
-0.3236418664455414,
... |
Q: This task is about translating a given Spanish language sentence to English.
Pero esto no se limita sólo a la educación.
A: | But it's not limited to just education. | 7 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.7989810705184937,
0.8721234798431396,
0.6862255334854126,
-1.052371859550476,
-0.24424432218074799,
-0.39918196201324463,
0.11464284360408783,
0.7049940824508667,
0.551892876625061,
-1.0219650268554688,
0.8292802572250366,
0.08357885479927063,
-0.5014612674713135,
0.13548673689365387,
... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ... | 12 people
| 5 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.7354316711425781,
0.2617972791194916,
-0.5007272958755493,
0.3304291367530823,
-0.09267478436231613,
-0.7434005737304688,
0.9269315004348755,
0.29708409309387207,
0.05972565710544586,
0.34479469060897827,
0.05250042676925659,
0.5281997919082642,
-0.049600377678871155,
0.46686333417892456... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | lawn and garden | 0 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.12573690712451935,
-0.11265413463115692,
-0.5763154029846191,
0.13539060950279236,
0.34182465076446533,
0.4746994972229004,
0.15976545214653015,
0.290134996175766,
-0.06624472141265869,
0.3393518626689911,
-0.17526176571846008,
0.25336360931396484,
-0.37751007080078125,
-0.5447148084640... |
Detailed Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger word... | Sentence 1: PersonX was naturally tidy while PersonY was naturally messy. _ loved to sort laundry and clean the house.
Sentence 2: PersonX was naturally tidy while PersonY was naturally messy. _ hated to sort laundry and clean the house. | 8 | NIv2 | task030_winogrande_full_person | zs_opt | [
-0.059761423617601395,
0.5622043609619141,
-0.12525807321071625,
-0.18596190214157104,
0.1942266970872879,
0.03516710549592972,
0.7960939407348633,
0.8134852647781372,
0.00836179405450821,
-0.19802126288414001,
-0.20446200668811798,
-0.1464131772518158,
-0.7493783235549927,
0.0161606054753... |
Detailed Instructions: 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 intersection, answer with an emp... | [5, 6, 7, 8] | 8 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.6342049837112427,
0.02818487584590912,
-0.08644162863492966,
-0.5545960664749146,
0.1597563922405243,
-0.039260707795619965,
0.5843831300735474,
0.38207364082336426,
0.07579492032527924,
-0.11781996488571167,
-0.5798914432525635,
-0.5349454879760742,
-0.6058616638183594,
0.22827865183353... |
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".
Ex Input:
Article: sweden 's centre-right government on tuesday announced income tax cuts of ## billion kronor -lrb- #.## billion ... | no
| 1 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.6714260578155518,
0.15729597210884094,
-0.34639817476272583,
0.617834210395813,
-0.30078938603401184,
0.13053803145885468,
0.2844655513763428,
0.8791882991790771,
0.04292730987071991,
-0.0847758799791336,
-0.6496807336807251,
0.37532925605773926,
-0.5096962451934814,
0.1773792803287506,... |
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: Ralph, è stato assai ampiamente riportato che si ipotizza che il Mossad sia l'autore principale dell'accaduto.
Student: | ラルフ、かなり広く報告されたのは、皆の推測ではモサドが、背後の主な実体であるということです。 | 6 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
0.012432091869413853,
0.12585675716400146,
0.6028770208358765,
-0.8447132110595703,
-0.28880226612091064,
0.36120253801345825,
-0.04724404960870743,
0.27725058794021606,
0.5604065656661987,
-0.3445315361022949,
-0.21599268913269043,
-0.24892014265060425,
-0.9790966510772705,
-0.35077488422... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Example: ويوجد أساسا مرجل دوار.
Output: É basicamente un caldeiro que rota.
The Arabic sentence is correctly translated into Galician, because the ... | Mais cando a nosa especie aparece hai uns 200.000 anos, algo máis tarde de que rapidamente abandonásemos África e nos espallásemos polo mundo enteiro, ocupando case todos os hábitats do mundo. | 1 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.5442234873771667,
0.9077451229095459,
-0.3350456953048706,
0.12882202863693237,
-0.24431735277175903,
-0.11823741346597672,
0.2911304235458374,
0.11985576897859573,
-0.0910872370004654,
0.09993527829647064,
-0.6801940202713013,
0.41659411787986755,
-0.9844568967819214,
0.088439539074897... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Penso quindi che dovremmo accogliere la tecnologia perché è una parte essenziale del nostro viaggio per scoprire chi siamo. | A zatem przyjmijmy technikę z otwartymi ramionami bo jest niezbędną częścią naszej podróży do odnalezienia samych siebie. | 0 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.939419150352478,
0.7499140501022339,
-0.4014475643634796,
0.21009200811386108,
-0.49693185091018677,
-0.9698382616043091,
0.49515390396118164,
-0.3643152117729187,
0.6403627991676331,
-0.21076153218746185,
-0.03228266164660454,
0.4277220368385315,
0.06175556778907776,
0.3601309955120086... |
Definition: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks fo... | I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK | 2 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.11793897300958633,
0.48213517665863037,
-0.32584667205810547,
0.002264008391648531,
0.2294577956199646,
-0.08404494822025299,
0.3908517360687256,
0.018012944608926773,
-0.048821575939655304,
-0.07446926832199097,
-0.7762051820755005,
-0.26287227869033813,
-0.7724348902702332,
-0.11740446... |
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
One example is below.
Q: hNarAik
A: hNrk
Rationale: The three vowels in the input 'a, 'A', and 'i' are removed.
Q: pdBdJF
A: | pdBdJF | 9 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.4605022966861725,
1.0041158199310303,
-0.3107658624649048,
-1.0383069515228271,
0.13362929224967957,
-0.5241490006446838,
1.0095123052597046,
-0.27294299006462097,
0.21292969584465027,
-0.43685659766197205,
-0.7489835023880005,
-0.4535260796546936,
-0.2368624210357666,
-0.753986716270446... |
Definition: In this task, you need to count the number of words in a sentence that contain the given letter
Input: Sentence: 'a pink stuffed monkey is sitting between bunches of bananas'. How many words contain the letter 'h' in the sentence.
Output: | 1 | 2 | NIv2 | task161_count_words_containing_letter | zs_opt | [
-0.2958935499191284,
0.08901503682136536,
0.3019295334815979,
-0.4131505489349365,
-0.4593488276004791,
0.13880997896194458,
0.2349233329296112,
0.13943645358085632,
0.411531925201416,
-0.5826830863952637,
-0.8424551486968994,
-0.3735421299934387,
0.20708878338336945,
0.1966690570116043,
... |
Q: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Simply useless if you are not in a mayor city with 4G. Even outside of the LA area it started to disconnect. The subscription is very expensive 34.99 or more. It took me several tries to cancel my subscript... | Will not work in areas without 4G, It will not work in Mexico either as advertised. | 7 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
-0.8086491227149963,
0.30900782346725464,
-0.16278566420078278,
-1.0253491401672363,
0.5173871517181396,
-0.08200779557228088,
0.2946724593639374,
0.3576045632362366,
-0.21350577473640442,
0.3777427077293396,
-0.4704623818397522,
0.4328557550907135,
-0.45784837007522583,
-0.736067771911621... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
[Q]: Vi mostro un esempio di ognuno di questi, e comincerò con i materiali.
[A]: سأريكم الآن مثالًا على كل من هذه الأدوات وسأبدأ بتلك المواد
[Q]: Pensate ai bambini di oggi. La loro infanzia è un po 'diversa.
[A]: بالنظر ... | ذهبنا إلى بلدان أخرى ، مثل ما قلت ذهبنا إلى الدنمارك.
| 5 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.5617651343345642,
0.8824502229690552,
-0.5009550452232361,
-0.6770923137664795,
-1.118922233581543,
-0.13983316719532013,
1.3833932876586914,
0.5824404954910278,
0.3235267102718353,
0.055791713297367096,
-0.6260961294174194,
0.8827319741249084,
-0.6153730154037476,
0.39625880122184753,
... |
Detailed Instructions: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Q: صفرا در کجا ساخته میشود علوم هفتم؟ <sep> صفرا در کجا ساخته میشود؟
A: | not-paraphrase | 9 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-0.396651029586792,
1.2198593616485596,
-0.17207962274551392,
0.30714014172554016,
-0.5720251798629761,
0.027440857142210007,
0.6974600553512573,
1.1546039581298828,
0.6659792065620422,
-0.5065770745277405,
-0.26207253336906433,
0.12610433995723724,
0.21234393119812012,
0.6521252393722534,... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must... | True | 1 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.8234007358551025,
0.1170106753706932,
-0.6162289977073669,
0.33253443241119385,
0.20305632054805756,
-1.0588431358337402,
0.24701735377311707,
1.0823478698730469,
0.016103330999612808,
0.5762912034988403,
-0.39219391345977783,
0.60635906457901,
-0.4890841841697693,
-0.7132186889648438,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | Three women are sitting under the sun doing nothing. | 0 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.38362932205200195,
0.650789201259613,
-0.42550545930862427,
-0.32768186926841736,
0.115493044257164,
-0.5032786726951599,
0.00771944597363472,
0.7300701141357422,
0.5829285383224487,
-0.8624054789543152,
-1.3057445287704468,
-0.5442883968353271,
-0.291390061378479,
-0.4295615553855896,
... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Option 1
| 6 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
-0.7606719732284546,
0.5146299600601196,
-0.3576831817626953,
0.2572488784790039,
-0.03652507811784744,
-0.17653632164001465,
-0.097032830119133,
1.009840965270996,
0.3664928674697876,
0.1317846179008484,
-0.4639331102371216,
-0.36404499411582947,
-0.4350406527519226,
-0.4542010724544525,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
[Q]: W tym momencie oczywiście wszystko się komplikuje. Fakty się zgadzały, hurra archeolodzy, jednak interpretacja okazała się bardziej skomplikowana.
[A]: Mas — e isto, claro, é onde se torna complicado — os factos eram ... | Há um milhão de imagens que poderia passar aqui, e teria de escolher cuidadosamente — esta é uma das minhas preferidas — de alunos a aprenderem, a que é que a aprendizagem se pode assemelhar num panorama onde largamos a ideia de que as crianças têm de vir à escola para obterem a informação, mas em vez disso, perguntamo... | 5 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
0.4033350646495819,
0.6773637533187866,
-0.6171568036079407,
-0.2053835093975067,
-0.7329638004302979,
-0.8754233717918396,
0.32021868228912354,
0.12834595143795013,
0.7938653826713562,
-0.31994354724884033,
0.11465657502412796,
0.2770950198173523,
-0.4003239572048187,
0.27802133560180664,... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal... | non-personal | 8 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.3633289337158203,
0.2599658966064453,
0.20639237761497498,
0.5566952228546143,
-0.6079854965209961,
-0.03919707611203194,
1.3546624183654785,
-0.17454251646995544,
-0.21534425020217896,
0.013712839223444462,
-0.8008270263671875,
-0.18382856249809265,
0.045076265931129456,
-0.27116566896... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Example input: She shone her light around the space, following the glow of... | Present | 3 | NIv2 | task429_senteval_tense | fs_opt | [
-0.24686484038829803,
0.9347913265228271,
0.27371835708618164,
-0.446401447057724,
0.0279140155762434,
0.006366482470184565,
0.662516176700592,
1.0764601230621338,
0.4632074534893036,
0.00811418704688549,
-0.43988263607025146,
0.41528481245040894,
-0.7602100968360901,
-0.30554452538490295,... |
Detailed Instructions: 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.
Problem:Sentence: 'there is a woman hitting a tennis ball with a racket'. Count the number of consonants in the given sentence.
Solution: | 26 | 8 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.4432581067085266,
0.5666224956512451,
-1.3670697212219238,
-0.16066579520702362,
0.1764056384563446,
-0.3705531358718872,
-0.05163046717643738,
0.6995224952697754,
0.04988718032836914,
-0.5958513021469116,
-0.6663338541984558,
0.13449408113956451,
-0.13258692622184753,
-1.097477793693542... |
Given the task definition, example input & output, solve the new input case.
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try t... | They get hungry. | 1 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.13459506630897522,
0.7344900965690613,
-0.6415397524833679,
0.9812449216842651,
-0.08255013823509216,
-1.1490250825881958,
0.3913099765777588,
0.8537813425064087,
-0.5051887631416321,
0.14822450280189514,
-0.745735764503479,
0.1814640760421753,
-0.1075986847281456,
-0.05466878041625023,
... |
Detailed Instructions: You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Q: Gene_Colan | nationality | Americans
A: | Gene Colan is an American. | 9 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-1.3508613109588623,
0.5321386456489563,
0.17012551426887512,
-0.8198704123497009,
-0.6978797912597656,
-0.11665104329586029,
0.7399906516075134,
0.12765127420425415,
-0.3714660406112671,
-0.04836196452379227,
-0.41385000944137573,
0.26588284969329834,
-0.04075043648481369,
-0.368460059165... |
Translate from English to Hindi.
[Q]: I've got to pay tax on the car?
[A]: मुझे कार पर कर चुकाना होगा.
[Q]: He came up with his wife and two little girls of about 8 and 10.
[A]: वह अपनी पत्नी और करीब 8 और 10 साल की दो छोटी लड़कियों के साथ आया.
[Q]: Santona?
[A]: | सैन्टोना?
| 5 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.17177057266235352,
0.17996209859848022,
-0.7674209475517273,
0.9917453527450562,
-0.4846194088459015,
-0.5228971242904663,
0.22333621978759766,
0.9315264225006104,
0.08095104992389679,
0.3546249270439148,
0.0642031729221344,
0.8481497764587402,
-0.21648186445236206,
-0.21676088869571686... |
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..
[Q]: Context: Bailey thought they had all the answers so they never asked any question.
Answer: As someone who doesn't learn
[A]: How... | What will happen to Robin?
| 5 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
-0.36954793334007263,
0.6774111390113831,
0.40097886323928833,
-0.4384426176548004,
0.3240765333175659,
-0.7923271656036377,
0.5167944431304932,
0.8490368723869324,
0.35162121057510376,
-0.3214920163154602,
-0.43547460436820984,
0.27407294511795044,
-1.0420104265213013,
0.41880446672439575... |
In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
Example Input: Sometimes when I play piano I want to get in a very emotional headspace that is hard to achieve.... | RIGHT
| 3 | NIv2 | task224_scruples_anecdotes_ethical_judgment | fs_opt | [
0.38569676876068115,
0.5654716491699219,
0.11509570479393005,
0.23763205111026764,
0.11255702376365662,
-1.1001309156417847,
0.5750665664672852,
0.4419593811035156,
-0.11843794584274292,
0.0949762761592865,
0.42134761810302734,
0.31721800565719604,
-0.5068131685256958,
0.09334920346736908,... |
Definition: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate you... | b | 2 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.13401652872562408,
0.20077240467071533,
-0.3739868402481079,
-0.7621537446975708,
0.3288046717643738,
-0.23900213837623596,
0.11873132735490799,
0.9608190059661865,
0.25023695826530457,
0.07342249155044556,
-0.055653586983680725,
0.045299824327230453,
-0.29777902364730835,
0.651220679283... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
[EX Q]: vgPAcPrMqoQxthRQaFVqFfKzqzjpIAcEE, uwNpKICDDHwxoQxthRQaFVqFWnvUSIjimsX
[EX A]: a, c, d, f, h, i, j, k, m, n, o, p, q, r,... | f, l, m, n, t, v, w
| 6 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.4601707458496094,
0.8707339763641357,
-0.030303020030260086,
-0.4056868553161621,
0.22739288210868835,
0.4529280364513397,
0.8587095737457275,
-0.03197988122701645,
-0.12064981460571289,
0.0971880778670311,
-0.7043770551681519,
-0.0916009470820427,
0.3297003507614136,
-0.367924928665161... |
TASK DEFINITION: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
PROBLEM: (Śmiech) Ale gdyby ktoś chciał to zrobić, należałoby myśleć o tego rodzaju rzeczach: zasadniczych możliwościach zmiany ludzkiego zachowania.
SOLUTION: (خنده ی حاضرین) اما اگر کسی خواست این کار را انجا... | من عاشق کاغذم و عاشق فناوری ، و کاری که من می کنم این است که کاغذ رو تعاملی کنم.
| 8 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.38212382793426514,
0.5644733309745789,
-0.21840797364711761,
-0.5199509859085083,
-0.5606316924095154,
0.0018525610212236643,
1.6107081174850464,
-0.07551398873329163,
0.13023647665977478,
-0.1641952097415924,
-0.49250322580337524,
0.3770250380039215,
-0.293597936630249,
0.3726978302001... |
Instructions: Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate ... | Yes | 3 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.7467167377471924,
0.5346711874008179,
0.5046155452728271,
-0.008870921097695827,
-0.9624530076980591,
-0.5802938938140869,
-0.3007027208805084,
0.32702553272247314,
-0.09795700013637543,
-0.011920738965272903,
-0.4399774968624115,
0.16192936897277832,
-0.606985867023468,
0.1980569064617... |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
Example in... | never go full retard cate | 3 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.36012691259384155,
0.32538625597953796,
0.26670336723327637,
0.4886486530303955,
-0.36326175928115845,
-1.4996538162231445,
-0.3607102036476135,
0.6176451444625854,
0.3480816185474396,
0.512820839881897,
-0.23587162792682648,
0.06988951563835144,
-0.18816253542900085,
-0.618970155715942... |
Detailed Instructions: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
See one example below:
Problem: Swedish: Jag förklarar debatten avsl... | No | 4 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.2825794219970703,
0.8764097094535828,
0.11868765950202942,
-0.12233960628509521,
-0.03400685265660286,
-0.7789813876152039,
1.2090364694595337,
0.35609203577041626,
0.8260220289230347,
0.11901451647281647,
0.2407868355512619,
1.0249810218811035,
-0.2901572287082672,
0.07742249965667725,... |
Given the task definition and input, reply with output. 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'.
news:Both operating profit and net sales for the three-month period inc... | false | 5 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-0.9544110894203186,
0.3657182455062866,
-0.35820841789245605,
0.6847796440124512,
-0.6364388465881348,
0.3042973577976227,
0.04013412445783615,
0.40826883912086487,
0.3942471742630005,
-0.2543870210647583,
-0.704005241394043,
0.3033321499824524,
-0.13680578768253326,
-0.6066228747367859,
... |
Teacher:In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Teacher:... | R, 7093, U, j, 3435, y, 6469, m, h | 6 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-0.30349481105804443,
-0.0051734838634729385,
-0.16108191013336182,
-0.5613499879837036,
-0.2522128224372864,
-0.444042831659317,
0.09564201533794403,
-0.3089803457260132,
-0.2609121799468994,
-0.05030875653028488,
-0.9605514407157898,
-0.16373856365680695,
0.25293153524398804,
-0.20319783... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Example input: 地球が今よりも無垢だった時代を訪れたかのようでした
Example output: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Example explanation: The Japanese sentence is correctly translated into Arabic, because the meaning is preserved.
... | ان مجرد أخذ حقل وازالة كل هذه الاشياء ليست بالضرورة الطريقة الأكثر فعالية ليتمكنوا من العمل. | 3 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
-0.10986042022705078,
0.7072794437408447,
-0.22140875458717346,
-0.22942408919334412,
-0.37586748600006104,
-0.4989556074142456,
0.603585422039032,
-0.23194703459739685,
-0.16356123983860016,
0.42173123359680176,
-0.9876964092254639,
0.3564327657222748,
-0.7133674025535583,
0.2626766562461... |
Teacher: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Topic: Three Gorges Dam
Argument: The Three Gorges ... | in favor | 2 | NIv2 | task209_stancedetection_classification | fs_opt | [
0.38308480381965637,
-0.4424695372581482,
0.606550931930542,
-0.6390700340270996,
-0.005117037799209356,
-1.5152077674865723,
0.22617414593696594,
0.33010923862457275,
0.3722752332687378,
0.27190810441970825,
0.09864850342273712,
-0.10097213089466095,
-0.5526735782623291,
-0.80090612173080... |
This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Russia’s economy is now in far worse shape than that of EU m... | L’économie russe est en bien pire état que celle des membres de l’Union européenne. | 0 | NIv2 | task1371_newscomm_translation | zs_opt | [
-0.520490288734436,
0.9180840253829956,
0.33531028032302856,
-0.5048304796218872,
-0.03369225189089775,
0.8272653818130493,
0.26202595233917236,
0.9152764081954956,
0.6674768328666687,
-0.006824729032814503,
-0.7106554508209229,
-0.1259968876838684,
-0.026147188618779182,
-0.24689620733261... |
In this task, you are given a sentence in the French language. Your task is to convert it to Slovak language.
Input: Consider Input: Ramelteon est un médicament dont le principe actif est le rameltéon.
Output: Ramelteon je liek, ktorý obsahuje účinnú látku ramelteon.
Input: Consider Input: Observez la plus grande p... | Output: Vo všeobecnosti platí, že čím väčší a rýchlejší je pokles hladiny glukózy v krvi, tým výraznejší je fenomén protiregulácie a jeho symptómov.
| 2 | NIv2 | task762_emea_fr_sk_translation | fs_opt | [
-0.2218523919582367,
0.7084728479385376,
-0.29485630989074707,
-0.7710467576980591,
-0.18305927515029907,
-0.8481319546699524,
1.3708643913269043,
0.18104961514472961,
1.0624966621398926,
-0.5439671277999878,
-1.3245139122009277,
0.7908216714859009,
-0.8919494152069092,
-0.1685882657766342... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[Q]: hm, I guess I have been silent for the past few days... sorry
[A]: positive
[Q]: @newmoonmovie yeah, the site's not working for me i can't access it... | positive
| 5 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.3898756504058838,
-0.014387729577720165,
0.8891441822052002,
0.249883234500885,
0.39418038725852966,
-1.4765470027923584,
-0.6731587052345276,
0.550139844417572,
0.7032138705253601,
0.7091658115386963,
-0.35337069630622864,
-0.847503125667572,
0.4926208257675171,
-0.5748839378356934,
... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Let me give you an example: [5797, 8817, '8297', 'b', 'U', 'b'], [5843, 8809, '8297', 'b', 'W', 'C']
The answer to this example can be: 8297, b
Here is why: Here, '8297, b' is the longest common subsequence in both the... | 3803, 7381, F, 3211, C, x, 9677, 4533, o, 969, Z, 1973, J, 7813, G, w, 4619, 7909, B, D, 5891 | 8 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.18184521794319153,
-0.12080419063568115,
-0.6366491913795471,
-0.5832201242446899,
0.10384894162416458,
-0.5004030466079712,
0.5770725011825562,
0.7800295948982239,
-0.6709255576133728,
0.11500756442546844,
-0.8712188005447388,
0.22355401515960693,
0.25782638788223267,
0.504816770553588... |
Q: In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
English: Tomorrow morning I will therefore table an amendment urging that we concentrate the sanctions on the regime itself wh... | Yes | 7 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.24586202204227448,
0.5535438060760498,
0.6882233619689941,
-0.07108189165592194,
-0.4859987497329712,
-1.0639451742172241,
0.7054318189620972,
1.1783177852630615,
0.23594066500663757,
-0.29845350980758667,
-0.3951534330844879,
0.23846741020679474,
-0.2636456787586212,
-0.061886206269264... |
Q: In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using ... | 12453 | 7 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.4569092392921448,
0.22684994339942932,
-0.6490645408630371,
-0.44909220933914185,
-0.24938367307186127,
-0.1336478888988495,
0.5826442241668701,
0.6154091954231262,
-0.09263931959867477,
0.012625634670257568,
-0.2318461686372757,
-0.7141344547271729,
-0.42912399768829346,
0.170361906290... |
Q: Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Question: Are fatty acid-amino acid conjugates essential for systemic ac... | yes | 7 | NIv2 | task846_pubmedqa_classification | zs_opt | [
-0.5219031572341919,
-0.3105710446834564,
0.08499931544065475,
0.684533417224884,
0.22678600251674652,
-1.069047212600708,
1.1634109020233154,
0.42993754148483276,
0.28825458884239197,
0.7811422944068909,
-0.22449207305908203,
-0.2998327612876892,
-1.385063648223877,
0.3951466679573059,
... |
instruction:
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
question:
We have this model about a year now. It hasn't worked right from the beginning. We often had trouble closing the top. Sometimes it doesn... | Positive
| 9 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
0.38619139790534973,
0.17315244674682617,
-0.15848475694656372,
0.17371498048305511,
0.4122607707977295,
-0.3311763405799866,
1.0993552207946777,
0.2752465605735779,
0.10572086274623871,
0.4861621856689453,
-0.2340945303440094,
-0.5009778738021851,
-0.6191361546516418,
0.018097499385476112... |
Q: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the... | 1, Mom didn't want to cook dinner tonight. | 7 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.5274313688278198,
1.171219825744629,
0.20267441868782043,
-0.8542850017547607,
-0.35519665479660034,
-0.3276069164276123,
1.0560064315795898,
0.1769479364156723,
0.19182032346725464,
-0.21586193144321442,
-0.4201660454273224,
-0.5926283597946167,
-0.7401707172393799,
0.4994264543056488,... |
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