inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Q: Is AUTHOR wrong in the post ? POST : TL;DR at the end, since I can ramble... | no | 9 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
0.25434374809265137,
0.2667660117149353,
-0.5958652496337891,
0.4222850501537323,
0.7848962545394897,
-0.17375558614730835,
0.7748081684112549,
0.8897883892059326,
-0.4529869556427002,
-0.13778674602508545,
-0.03689345344901085,
0.42792391777038574,
-0.6518831253051758,
-0.1896001696586609... |
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
[EX Q]: ACTION1: getting drunk and flirting with a girl who has been friends with me for 6 ... | yes
| 6 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | fs_opt | [
-0.5301269292831421,
0.4451309144496918,
0.44749975204467773,
0.24081958830356598,
-0.3467251658439636,
-1.028191328048706,
-0.04425863176584244,
0.8144863843917847,
0.29239872097969055,
0.5236180424690247,
0.04945161193609238,
-0.5005922913551331,
-0.8545888662338257,
-0.5734401941299438,... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical depending on the... | geopolitical
| 0 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-0.17536363005638123,
0.10017845779657364,
0.34985530376434326,
0.40344083309173584,
-0.16297674179077148,
-0.5094971060752869,
0.4725938141345978,
0.32553935050964355,
-0.4062313139438629,
0.29326313734054565,
-0.4952391982078552,
-0.5677122473716736,
-0.0016030115075409412,
-0.4194150567... |
Given the task definition and input, reply with output. This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary d... | A no ser que el mundo democrático entienda que ahora no es el momento de tener fe en la avenencia diplomática y que debe reaccionar con la suficiente firmeza para detener los designios imperiales de Putin, los acontecimientos podrían seguir una lógica en la que resulta demasiado espantoso pensar. | 5 | NIv2 | task1373_newscomm_translation | zs_opt | [
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0.3090553879737854,
0.3824319839477539,
0.07491083443164825,
-0.336819589138031,
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0.19180764257907867,
0.6110737323760986,
0.8438953757286072,
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-0.10546247661113739,
0.5304725170135498,
-0.39675480127334595,
-0.3266895413398742... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
... | 20 | 1 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
0.17845913767814636,
0.43211454153060913,
-0.05659323185682297,
0.06498955190181732,
0.29253244400024414,
-0.4402006268501282,
0.5450842976570129,
0.21002456545829773,
-0.36663469672203064,
0.10985293984413147,
-0.4358700215816498,
0.08246789872646332,
0.7218625545501709,
-0.15848857164382... |
Given the task definition and input, reply with output. You are given a statement written in Hindi. 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 .
Statement: 125 रेखांश पूर्व (125th meridian east) <MASK> क... | पृथ्वी | 5 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.21999654173851013,
0.029166800901293755,
0.16793853044509888,
-0.38070034980773926,
-0.07953805476427078,
0.18773075938224792,
-0.3453935384750366,
0.06705264002084732,
0.07580539584159851,
0.09210778772830963,
-0.2398674488067627,
-0.4437595009803772,
0.36989307403564453,
0.103961966931... |
Part 1. Definition
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. ... | select the rows whose chassis record fuzzily matches to lola . there is only one such row in the table . the year record of this unqiue row is 1993 . | 7 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.35773587226867676,
-0.03517593815922737,
-0.24999673664569855,
0.15921497344970703,
0.14837032556533813,
-0.1507013589143753,
0.4515987038612366,
0.3455374538898468,
0.11837572604417801,
-0.2292967289686203,
-0.7197346091270447,
0.20855972170829773,
0.011339019984006882,
0.38288095593452... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Q: Because we were trained to believe that there always are winners and losers, and that your loss is my gain.
A: | 人類が今まで教え込まれてきた勝ち負け的な考え方を改めるべきであると気づくことでしょう | 4 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.4989982843399048,
-0.20631536841392517,
-0.4517207145690918,
-0.2777647376060486,
0.05416477844119072,
-1.7631057500839233,
-0.16959038376808167,
-0.10356826335191727,
0.5674268007278442,
-0.3863530158996582,
-0.25493013858795166,
-0.23003973066806793,
-1.14223051071167,
0.6850129961967... |
Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Q: Poster: So much goodness in this photo: - written by Show Creator,... | Negative
****
| 4 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.9450617432594299,
0.05143612623214722,
-0.063496433198452,
0.4755781590938568,
0.2151469737291336,
-0.2599859833717346,
0.892065167427063,
1.0168662071228027,
0.4338317811489105,
0.4830869734287262,
-0.3990575969219208,
-0.10021395981311798,
0.4392988681793213,
-0.032539866864681244,
... |
Q: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF ... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF'... | 7 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.07493682205677032,
-0.0024476204998791218,
0.03244740515947342,
-0.5938246250152588,
0.14273132383823395,
-0.8797009587287903,
-0.1100337952375412,
0.7934688329696655,
-0.23393672704696655,
0.07533954828977585,
0.11662255227565765,
-0.047999173402786255,
-0.486593097448349,
-0.3767112791... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
2, ['2059', 'A', 'A', '6693', 'q'] | A, 6693, q | 0 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.09688131511211395,
0.6243402361869812,
-0.03284764289855957,
-0.9305299520492554,
-1.1173622608184814,
-0.057706318795681,
0.3193191885948181,
-0.7985785007476807,
-0.2641563415527344,
-0.43052738904953003,
-0.3855002522468567,
0.0436304435133934,
0.00981127843260765,
-0.2816950678825378... |
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 a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
We propose a local coherence model based on a ... | Selection models of language production support informed text partitioning: an intuitive and practical, bag-of-phrases framework for text analysis | 0 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
0.12823766469955444,
0.1580773890018463,
-0.1297788918018341,
0.08590871840715408,
0.3023327589035034,
-0.2155192345380783,
0.9880839586257935,
0.4841935634613037,
-0.11346191167831421,
0.22106006741523743,
-0.18322095274925232,
0.11395404487848282,
-0.4109070897102356,
0.3024206757545471,... |
You will be given a definition of a task first, then some input of the task.
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: Carrie wanted to start a landscaping business. Sentence2: She bought a lawnmow... | Assistant, Homeowners, Carrie | 1 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.44952088594436646,
0.6195188164710999,
-0.19207623600959778,
-0.08554089069366455,
0.20759697258472443,
-0.026039186865091324,
0.26654791831970215,
1.0296006202697754,
-0.004610211588442326,
0.4504665732383728,
-0.5289759635925293,
-0.9713667631149292,
-0.13273930549621582,
0.0716428011... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: هذا الرجل متخصص في حفرة الافاعي.
Student: | Ten osobnik specjalizuje się w wężach z rodziny grzechotnikowatych. | 6 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.7571581602096558,
-0.13213598728179932,
0.032835714519023895,
-0.8167374730110168,
-0.35420823097229004,
0.15590563416481018,
1.012984037399292,
-0.5855977535247803,
0.43511855602264404,
-0.8808568716049194,
-0.5429433584213257,
0.14333999156951904,
-0.5885627865791321,
-0.0611294060945... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Example input: ۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
Example output: 52% of computer users are Internet literate.
Example explanation: This is a good example. The above sentence is correctly translated from Pe... | Egypt is launching a national campaign against female circumcision (Genital Mutilation) writes Ibn Al Dunya. | 3 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-1.455291509628296,
0.5264588594436646,
-0.04417338967323303,
-0.3532159924507141,
-0.7171895503997803,
-0.4514572322368622,
0.7293089628219604,
0.13934148848056793,
0.7540532350540161,
0.44683682918548584,
-0.1796642541885376,
0.7180623412132263,
-0.9482674598693848,
0.013399370014667511,... |
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Ex Input:
ຄັ້ງທີ່ສອງ ແມ່ນເກີດຂຶ້ນ ພຽງແຕ່ ບໍ່ພໍເທົ່າໃດນາທີ ຫລັງຈາກນັ້ນ ຢູ່ ທີ່ສະຖານີລົດໄຟ ຄັນໂຕນເມັນ ສ້າງປ່ອງໄຟ ຢູ່ນອກຫ້ອງນາຍສະຖານີ ແລະ ຄັ້ງທີ່ສາມເກີດຂ... | 今月の初め、アメリカは30人の役人をジュネーブでの拷問委員会の公聴会に派遣した。
| 1 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.48666834831237793,
-0.25841623544692993,
-0.42987799644470215,
-0.09572461247444153,
-0.05925190448760986,
-0.6310717463493347,
0.3176323473453522,
0.47625598311424255,
-0.01935434713959694,
-0.42064881324768066,
-0.17019914090633392,
0.7283748388290405,
-0.49933645129203796,
0.16704362... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Input: Consider Input: i thought exactly you thought nice i like ittalking with u
Output: happy
Input: Consider Input: am upset why my bird is dead
Outp... | Output: angry
| 2 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-1.0002509355545044,
0.4561398923397064,
0.7966004610061646,
-0.2471366673707962,
0.08158915489912033,
-0.5838274359703064,
0.6031901836395264,
-0.2154620885848999,
0.13360896706581116,
0.12065207213163376,
-0.08588440716266632,
-0.11810821294784546,
-0.7273211479187012,
0.1947197020053863... |
Teacher:Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Teacher: Now, understand the problem? Solve this instance: This is a great movie lots of action and intrege. Being the third movie in the series i was afraid it was gonna be a flop but it was a great ... | Positive | 6 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.11980339884757996,
-0.1231468990445137,
0.6434149742126465,
-0.4237232804298401,
0.2991880178451538,
-0.1886432021856308,
1.027207374572754,
0.2994157671928406,
0.3864639401435852,
0.22165220975875854,
-0.07562301307916641,
-0.4547523260116577,
-0.7650872468948364,
-0.7984493970870972,
... |
Q: 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 your choice ... | d | 7 | NIv2 | task231_iirc_link_classification | zs_opt | [
1.0540618896484375,
0.6999555230140686,
-0.48861807584762573,
-0.6065269112586975,
-0.2247849404811859,
0.49522262811660767,
1.0448575019836426,
0.8323115706443787,
-0.4599095582962036,
0.5451686382293701,
-0.14846257865428925,
0.045846253633499146,
-0.8219121098518372,
-0.0756191015243530... |
Q: In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
[-18, 45, 13.516, 0.072, -14.... | [-18, 45] | 7 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.22339673340320587,
0.41894596815109253,
-0.32328659296035767,
-0.5224990844726562,
-0.3943992555141449,
-0.8589638471603394,
0.8056632280349731,
0.34563034772872925,
-0.22851166129112244,
0.23706090450286865,
-0.5408805012702942,
0.10862825810909271,
-0.04216475412249565,
-0.23970749974... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political religious on the top... | religious | 4 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | zs_opt | [
-0.9642935991287231,
-0.009888004511594772,
0.5532914400100708,
0.3501599431037903,
-0.7792634963989258,
-0.06705829501152039,
-0.2659485340118408,
0.4881013035774231,
-0.16560089588165283,
0.2242569774389267,
-0.3749542236328125,
-0.17222023010253906,
-0.3585209250450134,
-0.7010654211044... |
In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
Change the Date from 27 Jan to 28 Jan | How is this? | 0 | NIv2 | task1603_smcalflow_sentence_generation | zs_opt | [
-0.06638092547655106,
0.5812212228775024,
-0.5460414886474609,
-0.5276222825050354,
0.0003590025007724762,
-1.5030860900878906,
0.5352617502212524,
0.008403265848755836,
-0.0045361025258898735,
-0.14416375756263733,
0.09242840111255646,
-0.08586081862449646,
-0.853294849395752,
0.268652528... |
Teacher:This task is about translating a given English language sentence to Yoruba language.
Teacher: Now, understand the problem? Solve this instance: In their final words to the court, the six brothers quoted several inspiring verses from the Bible and said that they did not harbor animosity toward the prosecution.
S... | Nínú ọ̀rọ̀ tí wọ́n sọ gbẹ̀yìn nílé ẹjọ́, àwọn arákùnrin mẹ́fà wọ̀nyí tọ́ka sí ọ̀pọ̀ àwọn ẹsẹ Bíbélì amóríyá tó sún wọn láti jẹ́ adúróṣinṣin, wọ́n sì fi kún un pé àwọn ò ní ẹ̀tanú èyíkéyìí sí ẹnikẹ́ni lára àwọn tó fẹ̀sùn kan àwọn. | 6 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.9320551753044128,
0.9330592155456543,
0.49941286444664,
-0.6265555620193481,
-0.6876035928726196,
-1.099792242050171,
0.4973096251487732,
0.3034641146659851,
0.9549528360366821,
-1.0932798385620117,
0.008597238920629025,
0.42013972997665405,
-1.166820764541626,
-0.50808185338974,
0.787... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
"Co takiego, mamo?"
| "¿Qué, Amá?" | 5 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-0.7479652166366577,
1.0865849256515503,
-0.4754142463207245,
-0.06410875916481018,
-0.35008910298347473,
-0.20541107654571533,
0.39357441663742065,
0.40287068486213684,
-0.03817828372120857,
-0.21140223741531372,
0.19534680247306824,
0.5885223150253296,
-0.8414850234985352,
-0.47890019416... |
Given the task definition, example input & output, solve the new input case.
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 wil... | F3469wTYKH | 1 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.5866438150405884,
0.02907191962003708,
-0.5857540965080261,
-0.16556817293167114,
0.11697496473789215,
-0.18036620318889618,
0.3731418251991272,
0.36484622955322266,
-0.9555245637893677,
-0.1655801236629486,
-0.8207477331161499,
-0.07947062700986862,
0.16113543510437012,
0.05985859408974... |
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 potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racia... | Yes | 8 | NIv2 | task609_sbic_potentially_offense_binary_classification | fs_opt | [
-0.28843262791633606,
0.054026417434215546,
1.0021138191223145,
0.35283297300338745,
-0.06995882093906403,
-0.496616393327713,
0.939952552318573,
0.28261086344718933,
0.5759171843528748,
0.11768701672554016,
-0.5404477119445801,
-0.05610235407948494,
-0.7123553156852722,
-0.910551726818084... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Q: Un șobolan aleargă.
A: A rat is running.
****
Q: Un tip sare pentru o întindere pe un teren de baschet.
A: A guy is going up for a lay-up on a basketball court.
****
Q: Faruri... | The headlights on a blue car.
****
| 4 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
0.31373754143714905,
1.2497586011886597,
-0.4604133367538452,
0.029503609985113144,
-0.3923410177230835,
0.000904107466340065,
0.5707148909568787,
0.5708797574043274,
0.7319983839988708,
-0.6879204511642456,
-0.17148123681545258,
0.9915831685066223,
-0.6411199569702148,
-0.2225621640682220... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 銃を持った犯人1名は、AFP通信の報道機... | Yes | 1 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.5056412816047668,
-0.42729654908180237,
0.21242749691009521,
-0.04134790599346161,
-0.2273133248090744,
-0.22975586354732513,
0.5549726486206055,
0.8430543541908264,
-0.3602641820907593,
-0.021103190258145332,
-0.5827703475952148,
0.3073951005935669,
-0.46457600593566895,
0.297120988368... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your an... | no | 0 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
-0.053306907415390015,
-0.07272101193666458,
-0.19849854707717896,
0.5389209985733032,
0.269428014755249,
-0.19813081622123718,
0.3125905394554138,
0.2572380304336548,
0.2690027952194214,
-0.04216652363538742,
-0.3423331379890442,
0.2778260409832001,
-0.927627444267273,
-0.1758376955986023... |
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 | 3 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.7892404794692993,
0.12970826029777527,
-0.5295017957687378,
-0.09012192487716675,
-0.2822948396205902,
-0.24071186780929565,
0.29396700859069824,
0.8675928115844727,
0.3155548572540283,
0.11458516120910645,
-0.5987982749938965,
0.47801920771598816,
-0.7894879579544067,
-0.128264307975769... |
Teacher:You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Teacher: Now, understand the problem? Solve this instance: Category: DISNEYLANDS
Clue... | 1950s | 6 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.5527046918869019,
0.3017513155937195,
-0.22882704436779022,
-0.4185711145401001,
-0.26909518241882324,
-0.29739367961883545,
0.6316137313842773,
-0.035999469459056854,
0.4298171401023865,
-0.017789483070373535,
0.04593145102262497,
-0.2198498249053955,
-0.74485844373703,
-0.255950391292... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
One example: Isto inclúe un sistema en árabe chamado al-jebra.
Solution is here: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Explanation: The Galician sentence is correctly translated into Italian,... | E vi costerà oltre un miliardo di dollari quell'unico successo. | 6 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.22467808425426483,
1.1270637512207031,
-0.37527745962142944,
0.3681223392486572,
-0.34755390882492065,
-0.12505008280277252,
1.01505708694458,
0.4770447611808777,
-1.1641037464141846,
-0.3633773922920227,
-0.7542071342468262,
-0.015572402626276016,
-0.6651380658149719,
0.494321018457412... |
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 Japanese.
Example: A ideia é muito, muito simples.
Output: このアイデアはとてもシンプルで
The Portugese sentence is correctly translated into Japanese, because the ... | ここに生きて立って無傷でこの話ができるのですから補給機を呼んだことに微塵も後悔はありません | 1 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.2967226207256317,
0.49609172344207764,
-0.05995464697480202,
-0.3309495449066162,
-0.013991002924740314,
-0.5125762820243835,
0.505482017993927,
0.7619154453277588,
0.05250590294599533,
-0.14436927437782288,
-0.5478659868240356,
0.1501498818397522,
-0.19899767637252808,
0.21452675759792... |
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 coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Beginning: Amy unexpectedl... | 1 | 0 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.3992336094379425,
0.39927706122398376,
0.3870593309402466,
0.03675391152501106,
-0.5421962738037109,
-0.5069881081581116,
-0.1213073655962944,
0.700352132320404,
0.5500528216362,
-0.13433511555194855,
-0.7992662191390991,
0.1618741750717163,
-0.5527173280715942,
-0.21710079908370972,
... |
Given the task definition and input, reply with output. In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additio... | weakener | 5 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.6157083511352539,
0.6684678196907043,
0.19459986686706543,
0.2989419102668762,
0.12628066539764404,
-0.5417721271514893,
0.7144602537155151,
0.6519561409950256,
0.4672957956790924,
-0.6420008540153503,
-1.5312291383743286,
-0.061307720839977264,
-0.2943314015865326,
0.09399338066577911,... |
In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cann... | B_entails_A | 4 | NIv2 | task1615_sick_tclassify_b_relation_a | zs_opt | [
-0.8513117432594299,
0.2768751382827759,
0.6399027109146118,
-0.24667054414749146,
-0.15122494101524353,
-0.2902870774269104,
0.10290482640266418,
0.6583983898162842,
0.28765326738357544,
0.05862203985452652,
-0.7729955911636353,
-0.5384374856948853,
0.33709716796875,
-0.22161686420440674,... |
Detailed Instructions: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
See one example below:
Problem: Timothy likes to play sports. He spends his time after s... | No | 4 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.5784861445426941,
0.4050707221031189,
-0.32789015769958496,
0.4304047226905823,
-0.37243205308914185,
-0.7815957069396973,
1.0243949890136719,
0.674000084400177,
0.2839796841144562,
-0.20947973430156708,
0.1924530267715454,
0.6583784818649292,
-0.5992687940597534,
0.226284921169281,
0.... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes | 6 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.6320061683654785,
-0.4636079668998718,
0.23214702308177948,
-0.1182878166437149,
-0.4138655960559845,
-1.4262921810150146,
1.2065041065216064,
0.8310052752494812,
-1.3520174026489258,
-0.10442175716161728,
-0.4397507905960083,
-0.5244885683059692,
-0.7382144331932068,
0.372154176235199,
... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Ex Input:
Personality: I've four siblings.
My youngest sister is in first grade.
I am 5 3 an... | I am great. I am watching my dogs play in the floor.
| 1 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.1261272430419922,
0.2296002209186554,
-0.48682641983032227,
0.12596389651298523,
0.3842027485370636,
-0.11608143895864487,
0.8248542547225952,
0.33469080924987793,
-0.13807380199432373,
-0.38212594389915466,
-0.010837562382221222,
-0.09192395210266113,
-0.4281424880027771,
-0.36050453782... |
Instructions: 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'.
Input: Tit... | 15423 | 3 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.01986796036362648,
0.5155515670776367,
-0.1846884787082672,
-0.14532503485679626,
-0.090512216091156,
-0.11194443702697754,
0.7045211791992188,
0.7943851351737976,
-0.25265437364578247,
0.321412593126297,
-0.8115368485450745,
-0.5993874073028564,
-0.5045518279075623,
0.3515593409538269,... |
Teacher: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 t... | Yes | 6 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.18749499320983887,
0.21800149977207184,
0.2911887466907501,
-0.3405601680278778,
-0.43469226360321045,
-0.6290908455848694,
1.1807416677474976,
0.3372737765312195,
-0.5488213896751404,
-0.6754478216171265,
-0.39754289388656616,
-0.4812009632587433,
-0.7221287488937378,
0.3541155457496643... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, ot... | True | 1 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.13967134058475494,
0.3029395043849945,
0.07636220753192902,
-0.34116148948669434,
0.12078835070133209,
0.10590508580207825,
0.3423573672771454,
0.43045955896377563,
-0.11970917880535126,
0.35748499631881714,
-0.59498530626297,
-0.21108633279800415,
-0.17534951865673065,
-0.1852277517318... |
instruction:
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 l... | [-231, 3, 13]
| 9 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.05987844988703728,
0.11881834268569946,
-0.9327682256698608,
-0.24370193481445312,
-0.10665009915828705,
-0.49401727318763733,
1.1972968578338623,
0.7285457849502563,
-0.4952143430709839,
-0.20955199003219604,
-0.7467630505561829,
-0.10193213820457458,
-0.49349546432495117,
-0.1559863090... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Input: Mi fa impazzire che gente che ha 30 anni dice: "" Forse è il caso che inizi a contribuire al mio fondo pensione "".
Output: | Me pone loco cuando escucho a los treintañeros decir "" Quizá voy a comenzar a contribuir para mi retiro "". | 3 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.4289792776107788,
0.20002761483192444,
-0.3621973395347595,
0.28906601667404175,
-0.28466859459877014,
-0.5534070730209351,
0.3586515784263611,
1.4851391315460205,
0.8796629905700684,
-0.5606541633605957,
-0.4223913550376892,
0.0938289687037468,
-0.7172098159790039,
-0.2700017988681793,... |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | И сведе чела до земята в суджуд, и ми се изплъзна.
****
| 4 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.07276289165019989,
0.6071721315383911,
0.36033445596694946,
-0.14898458123207092,
-0.02678692527115345,
-1.1214783191680908,
0.7586771249771118,
1.2567514181137085,
0.20039811730384827,
0.053542360663414,
-1.0664055347442627,
0.5694692730903625,
-0.8215895295143127,
0.5950663089752197,
... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Input: Musimy robić najlepsze modele matematyczne jakie możemy, najbardziej spójne.
Output: | Dobbiamo fare i migliori modelli matematici che possiamo, i più coerenti. | 3 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.19355539977550507,
0.791563868522644,
-0.20378440618515015,
-0.304340124130249,
-0.16418565809726715,
-0.4739605188369751,
0.2179887890815735,
-0.36183398962020874,
0.020387006923556328,
-0.09631375223398209,
-0.7717562317848206,
0.6762925386428833,
0.04391338676214218,
0.29940587282180... |
instruction:
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
question:
Verify if the sentiment of the following document towards the entity Abdel Fattah al-S... | yes
| 9 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
0.22474321722984314,
0.0473526194691658,
-0.2594826817512512,
0.3400868773460388,
0.6018704175949097,
-0.0783090740442276,
1.0235941410064697,
0.5193321704864502,
-0.12449201196432114,
0.5420055389404297,
-0.10159502923488617,
0.8172615766525269,
-0.2614539563655853,
0.06124554201960564,
... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Q: Hit me.
A: | لنبدأ | 4 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
0.4720233678817749,
1.0609104633331299,
0.34778496623039246,
-0.7313351035118103,
-0.22924989461898804,
-0.3765457570552826,
0.4577425420284271,
0.3199118971824646,
0.6302139759063721,
0.07471543550491333,
-0.2947111129760742,
0.5451086759567261,
-1.155007004737854,
-0.19760650396347046,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Obscene | 3 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.6958133578300476,
0.28597700595855713,
0.7254263162612915,
0.10696981102228165,
0.2773408889770508,
-0.4272924065589905,
0.43210601806640625,
0.587395966053009,
0.24851961433887482,
0.6180005669593811,
0.06680886447429657,
-0.41175127029418945,
-0.005940850358456373,
-0.9101924300193787... |
Detailed Instructions: Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and... | Look, you said you were two weeks from retirement a month ago. Why are you still even here? | 9 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.5523312091827393,
0.8430799245834351,
0.36656680703163147,
-0.004567544907331467,
0.32358598709106445,
-0.698459267616272,
0.24118603765964508,
0.8499653339385986,
-0.21992549300193787,
-0.6602885723114014,
-0.6605493426322937,
0.010498829185962677,
-0.9648985266685486,
0.692340373992919... |
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.
Let me give you a... | C | 8 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
-0.016654793173074722,
0.5415921807289124,
-0.21486732363700867,
0.7905241847038269,
-0.06402185559272766,
-0.6126202344894409,
0.2346731573343277,
0.4228229224681854,
-0.4534263610839844,
0.37311744689941406,
-0.5764403343200684,
0.24043378233909607,
-0.37403595447540283,
-0.4903351068496... |
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
Example Input: i know its easy to twist things to create an explanation and im still not sure i have one but it did help me to feel a little less mad
Example O... | joy
| 3 | NIv2 | task512_twitter_emotion_classification | fs_opt | [
-1.057546615600586,
0.022028177976608276,
0.5117993354797363,
0.37951982021331787,
0.15298022329807281,
-0.3429775834083557,
0.40319594740867615,
0.6157556772232056,
0.44459712505340576,
0.5428417325019836,
0.13153076171875,
-0.37564152479171753,
-0.4439975321292877,
0.12286917865276337,
... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
At first I loved this, great price and came with a lot. After only a few months of use the keyboard cover has stretched out and no longer fits the keyboard, and the edges of the plastic case have broke. I use... | At first I loved this, great price and came with a lot | 0 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
0.4168420135974884,
0.7477266192436218,
-0.4212372899055481,
-1.1631399393081665,
-0.21514712274074554,
0.011230423115193844,
0.5103046894073486,
0.5423958897590637,
0.1498366743326187,
0.5536314249038696,
0.38440752029418945,
0.15301597118377686,
-0.5438136458396912,
-0.18561694025993347,... |
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
Q: [-33, -66, -28... | 158
****
| 4 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.4855765104293823,
0.6434575915336609,
0.28421616554260254,
-0.3349902927875519,
-0.2207552194595337,
-0.17487403750419617,
0.3442680239677429,
0.27143457531929016,
0.49149733781814575,
-0.4193563461303711,
-0.3706051707267761,
0.05000884830951691,
-0.4642546772956848,
0.0469789132475853... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | jump left twice and run left twice | 0 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.1840052604675293,
0.7003839612007141,
-0.39022296667099,
0.207577645778656,
-0.1522933840751648,
0.3707948327064514,
-0.007776569575071335,
0.8506423234939575,
-0.41142451763153076,
-0.14874450862407684,
-0.7360125184059143,
-0.6020665168762207,
-0.6622198224067688,
-0.15048779547214508,... |
You will be given a definition of a task first, then some input of the task.
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may... | Good | 1 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.34664273262023926,
0.32627159357070923,
0.13731729984283447,
-0.4064883291721344,
-0.01450406201183796,
-0.1959880292415619,
0.7760301828384399,
0.2146102786064148,
0.034012846648693085,
0.48949193954467773,
-0.3430166244506836,
-0.31136971712112427,
-0.6209683418273926,
0.0345125086605... |
Definition: In this task, you will be given a sentence in the Indonesian language(Bahasa variant). Your job is to convert it into the English language.
Input: Dia memperingatkan bahwa sulit untuk memprediksikan aktifitas virus tersebut.
Output: | He noted that it was difficult to predict the activity of the virus. | 2 | NIv2 | task543_alt_translation_bh_en | zs_opt | [
-0.11974051594734192,
0.04010828584432602,
-0.07322446256875992,
0.013131411746144295,
0.28260338306427,
-0.7937671542167664,
-0.18103784322738647,
0.6110475063323975,
0.6550548672676086,
-0.06061874330043793,
-0.7607651352882385,
-0.01459061075001955,
-0.37965041399002075,
-0.088931180536... |
Q: In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
3133 - 1266 + 9813 - 480 - 789
A: | -4145 | 7 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.7483114004135132,
0.14671891927719116,
-1.1007442474365234,
0.09078051894903183,
-0.375203937292099,
0.4085084795951843,
1.0662204027175903,
1.0456619262695312,
-0.10940118134021759,
-0.4755817949771881,
-0.3174918293952942,
-0.15874946117401123,
-0.536792516708374,
0.6483719348907471,
... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No | 3 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.015858493745326996,
0.6856514811515808,
0.2976459860801697,
-0.3559837341308594,
-0.39038336277008057,
-0.5199160575866699,
1.2935354709625244,
0.08277295529842377,
-0.4398556351661682,
-0.6678218841552734,
-0.32853251695632935,
-0.5678761005401611,
-0.7061911821365356,
0.438088268041610... |
Detailed Instructions: In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/afte... | What event has already finished? | 9 | NIv2 | task389_torque_generate_temporal_question | zs_opt | [
-0.42476579546928406,
1.1571869850158691,
-0.012453125789761543,
-0.06946124881505966,
-0.33771055936813354,
-0.0895373597741127,
1.2117815017700195,
-0.011663634330034256,
0.7783955335617065,
0.6244819164276123,
-0.49180930852890015,
0.4672718644142151,
-0.374561607837677,
0.7102622389793... |
Teacher: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Aquí esta la medusa ala-x de la muerte.
Solution: Qui c'è la medusa mortale con le ali ad X.
Reason: The Spanish sentence ... | Osservando queste due versioni di necrologio, ricordo di aver pensato: "" Caspita, qui sono proprio fuori strada! | 2 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.3160894215106964,
0.4636997878551483,
-0.2705620229244232,
-0.15056201815605164,
-0.8336912989616394,
-0.6620977520942688,
0.19659528136253357,
1.4129241704940796,
0.06895044445991516,
-0.2475157380104065,
-0.08899413794279099,
-0.11956782639026642,
-0.08027946203947067,
0.3867487311363... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Example input: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Example output: (Śmiech) Opublikował wiele filmów o przyrodzie.
Example explanation: The Italian sentence is correctly translated into Polish,... | Teraz skanujemy około 15 000 książek miesięcznie i szykuje się podwojenie tych wyników. | 3 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-1.128246545791626,
0.7645853757858276,
-0.1811661422252655,
0.13605380058288574,
-0.7232245802879333,
-0.1964237093925476,
0.3233798146247864,
0.254707396030426,
-0.29461556673049927,
-0.3730946183204651,
-0.6298247575759888,
0.4141394793987274,
-0.8566667437553406,
0.2893350124359131,
... |
You will be given a passage consisting of set of facts and a question as input. The task is to answer a question of form 'Where is <person_name>?' using one of the given facts to determine the latest location of the person. Answer should be a word/phrase describing the location from the supporting fact. Avoid answers t... | hallway | 0 | NIv2 | task083_babi_t1_single_supporting_fact_answer_generation | zs_opt | [
0.24732619524002075,
1.0438635349273682,
-0.6444097757339478,
-0.8399364352226257,
-0.7284671068191528,
-0.33795398473739624,
0.6021618843078613,
-0.13498306274414062,
0.4770491123199463,
0.3014025092124939,
-0.3419138491153717,
0.39475661516189575,
-0.2402794361114502,
-0.2332652807235717... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
טמפרטורת שק האשכים משפיעה על הטמפ 'בתוך האשכים וגילוח מוריד אותה.
Output: | La temperatura escrotal refleja la temperatura inter-testicular y se reduce afeitando la zona | 1 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.6053068041801453,
-0.06781184673309326,
-0.2557470202445984,
0.17264659702777863,
-0.386591374874115,
-0.0470241904258728,
0.24996060132980347,
-0.2917439341545105,
0.21677827835083008,
-0.913959801197052,
-0.4432414472103119,
0.06370007991790771,
-0.7309575080871582,
0.551988422870636,... |
Given the task definition, example input & output, solve the new input case.
A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
Example: ജന് ആധാര് മണി (ജാം)- ആനുകൂല്യങ്ങള് നേരിട്ടു ഗുണഭോക്താക്കള്ക... | તેમણે એર અને રેલ કનેક્ટિવિટી, વધારે સારા માર્ગો અને મોટાં પુલ વધારવાની બાબતનો ઉલ્લેખ કર્યો હતો. | 1 | NIv2 | task1042_pib_translation_malayalam_gujarati | fs_opt | [
-0.3746749758720398,
0.7686648368835449,
-0.349014014005661,
-0.0843389630317688,
-0.2737500071525574,
-0.3005768656730652,
0.5808883309364319,
0.2375364601612091,
0.012629443779587746,
0.025502869859337807,
-0.474287211894989,
0.205368310213089,
-0.17396673560142517,
0.007134833373129368,... |
Part 1. Definition
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Part 2. Example
Event:PersonX treats PersonY's ___ well. Intent: 1) to leave a good impression over person y by doing everything pe... | Unknown | 7 | NIv2 | task923_event2mind_classifier | fs_opt | [
0.0013612981420010328,
0.18500207364559174,
0.2042291760444641,
-0.2850974202156067,
-0.03845973685383797,
-0.824891984462738,
1.0602366924285889,
0.2215571105480194,
0.15445205569267273,
-0.09208709001541138,
0.008084343746304512,
0.2610495090484619,
-0.7439812421798706,
-0.00521018588915... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
ビッグバンの100万の10億倍の10億倍の10億倍の10億倍分の1秒後にはビッグバンの100万の10億倍の10億倍の10億倍の10億倍分の1秒後には — ちゃんと言えたかな — 膨張がはじまりました
Zaczął się rozszerzać około milion miliardów miliardów miliardów miliardowych na sekundę — myślę że przedstawiłem to dobr... | Drugą rzeczą jaką musimy zrobić to spojrzeć wstecz jak daleko zaszliśmy w tak krótkim czasie.
| 0 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
-0.5603432059288025,
0.6589601039886475,
-0.52437424659729,
0.0927162766456604,
-0.6101961135864258,
0.21349185705184937,
1.3480310440063477,
-0.6215910315513611,
0.20669478178024292,
-0.8028547763824463,
-0.35664987564086914,
0.8615321516990662,
-0.9900065660476685,
0.1091281920671463,
... |
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 nu... | 3, Everyone at the party loved it. | 9 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
-0.37981075048446655,
0.6713285446166992,
0.19309553503990173,
-0.6393179893493652,
0.1816786825656891,
-0.1908627301454544,
0.25137585401535034,
0.5780919790267944,
0.2907818555831909,
0.4892049729824066,
-0.3283582329750061,
-0.5102392435073853,
-0.9194536209106445,
0.20486979186534882,
... |
Teacher:Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about an... | green_cupboard | 6 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.20529954135417938,
-0.2814145088195801,
-0.10291659832000732,
0.1420954167842865,
-0.336384117603302,
-0.24108360707759857,
0.23451939225196838,
0.5955926179885864,
0.19473394751548767,
-0.6337908506393433,
-0.2314448356628418,
0.5975832939147949,
0.02211724780499935,
0.17092840373516083... |
Part 1. Definition
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Part 2. Example
Category: WHO'S BUYING?
Clue: YouTube, in 2006
Answer: goog... | komen | 7 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.7121864557266235,
0.13127607107162476,
-0.3627721071243286,
-0.08036109805107117,
-0.10046616196632385,
0.816105842590332,
0.13905510306358337,
0.015228714793920517,
0.22880753874778748,
-0.19076505303382874,
-0.10841884464025497,
-0.08301996439695358,
-0.411762535572052,
-0.52805894613... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Het effect van getuige t favoriete show is plezier. | 3 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.31324711441993713,
1.0123417377471924,
-0.0029946432914584875,
-0.1817583441734314,
0.20533719658851624,
-0.7126577496528625,
0.4619291424751282,
0.42464470863342285,
0.3348921835422516,
-0.39268016815185547,
-0.6531455516815186,
0.6448483467102051,
-0.6322904229164124,
-0.0774161070585... |
Instructions: 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 an... | 54132 | 3 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.013666130602359772,
0.4696308970451355,
-0.2482982575893402,
-0.49596965312957764,
-0.4320618510246277,
-0.4735230803489685,
0.17409762740135193,
0.7474381327629089,
0.022765327244997025,
-0.262719988822937,
-0.7229610681533813,
-0.5321154594421387,
-0.6580797433853149,
0.03829564899206... |
Q: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, ... | [-53.0, -56.0, 10.5, 84.0, 80.0, 46.5, 49.5, 18.0] | 7 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.8249066472053528,
0.03041326440870762,
-0.8201799392700195,
-0.5727193355560303,
-0.021389683708548546,
0.33756574988365173,
0.7859766483306885,
0.38123390078544617,
-0.010355071164667606,
-0.22615507245063782,
-0.3828507959842682,
-0.4054119884967804,
0.07540970295667648,
0.46114626526... |
Definition: In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Input: Article: Haikou--A s... | No | 2 | NIv2 | task310_race_classification | zs_opt | [
0.6050660014152527,
-0.0174483023583889,
-0.2648826837539673,
-0.556326687335968,
-0.14868563413619995,
-0.24035842716693878,
0.459616094827652,
0.31125640869140625,
-0.22342374920845032,
0.1720675677061081,
0.13983061909675598,
0.5515037775039673,
-0.7093918323516846,
0.09979294240474701,... |
Instructions: 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.
Input: Our granddaughter loved these earrings! Beautiful design, beautiful col... | Good Review | 3 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.5652041435241699,
0.39061978459358215,
-0.3615570664405823,
-0.27480900287628174,
0.02478114329278469,
-0.9214564561843872,
0.26101505756378174,
1.0441460609436035,
-0.026356324553489685,
0.6664015650749207,
-0.17769160866737366,
0.2990109920501709,
-0.28611552715301514,
-0.143973946571... |
Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation ... | वस्तुओं अद्यतन किया जा रहा है. कृपया इंतजार करें... | 0 | NIv2 | task877_kde4_translation | zs_opt | [
-0.4547650218009949,
0.24663330614566803,
0.6611572504043579,
0.26191091537475586,
-0.06034807488322258,
-0.9845923781394958,
0.5972582101821899,
-0.15622839331626892,
-0.24847954511642456,
-0.9704868793487549,
-0.6140865683555603,
0.029416460543870926,
-0.3404574990272522,
0.6426488757133... |
Detailed Instructions: In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
See one example below:
Problem: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sentence.
Solution: 2
Explanation: ... | 2 | 4 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.5126537084579468,
0.9370800852775574,
-0.7209312915802002,
-0.5903165936470032,
-0.08778636902570724,
-0.3234376013278961,
-0.2352377027273178,
0.24729523062705994,
0.353290855884552,
-0.4485005736351013,
-0.055550482124090195,
0.7524735927581787,
-0.24799448251724243,
-0.10977232456207... |
Detailed Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
See one example below:
Problem: Fact1: a plant requires sunlight to grow, Fact2: Plants to avoid are fast-growing vines that can take o... | H | 4 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.821699321269989,
0.3571467399597168,
-1.064894676208496,
-0.3498755395412445,
-0.6477176547050476,
-1.4940996170043945,
-0.04007264971733093,
1.0445854663848877,
-0.018003378063440323,
0.23651477694511414,
-0.5090494751930237,
-0.3946903944015503,
-0.7712605595588684,
0.03719950467348099... |
Detailed Instructions: This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. ... | St. Louis | 4 | NIv2 | task1411_dart_subject_identification | fs_opt | [
-0.04905956983566284,
0.5935245156288147,
-0.9440231323242188,
-0.6547725200653076,
-0.25573232769966125,
-0.6527619361877441,
0.8550743460655212,
-0.12369126081466675,
0.603158712387085,
0.03403562307357788,
-0.8643091320991516,
-0.04272885620594025,
-0.5355993509292603,
-0.10722775757312... |
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.
To make ... | have the artist do a test run before the big day. | 0 | NIv2 | task080_piqa_answer_generation | zs_opt | [
0.0584610253572464,
0.791104793548584,
-0.5854122638702393,
0.19339102506637573,
-0.6077958941459656,
-0.11758749932050705,
-1.1107711791992188,
0.3829183578491211,
-0.2781892418861389,
0.12888464331626892,
-0.8882032632827759,
0.23506584763526917,
-0.40144532918930054,
0.00203721248544752... |
Q: In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun... | At Colchester <B-LOC> : Gloucestershire <B-ORG> 280 ( J. <B-PER> Russell <I-PER> 63 , A. <B-PER> Symonds <I-PER> | 7 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.634424090385437,
0.8178610801696777,
0.15452584624290466,
-0.5679780840873718,
-0.15689928829669952,
-0.257479727268219,
0.5670658946037292,
0.017505459487438202,
-0.1906098872423172,
-0.6962740421295166,
-0.28608211874961853,
0.062034428119659424,
-0.4040297567844391,
0.102438360452651... |
instruction:
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX... | NN
| 9 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.7541379928588867,
0.5438772439956665,
-0.6772766709327698,
0.10932552814483643,
-0.22227713465690613,
-0.7082496881484985,
1.0402717590332031,
0.6949774622917175,
-0.40038323402404785,
-0.10869861394166946,
-0.3765442967414856,
0.45194119215011597,
-0.5114138722419739,
-0.127210319042205... |
Given a sentence in Italian, generate a new Italian 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 b... | Se si desidera avere una linea allora si dovrebbe eseguire l'acqua. | 8 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
0.019798099994659424,
0.40178561210632324,
-0.466647744178772,
0.42886659502983093,
-0.24570539593696594,
-0.9209876656532288,
0.462668776512146,
1.0002570152282715,
-0.1333252191543579,
-0.12294796854257584,
-0.45941686630249023,
0.2550888657569885,
-0.6773166656494141,
0.1365032941102981... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Teacher: Now, understand the problem? Solve this instance: Do czego powinno służyć?
Student: | What should it be for? | 6 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.5114624500274658,
0.7873477339744568,
0.1972442865371704,
-0.6165709495544434,
-0.005853386130183935,
-0.9042481780052185,
0.9734914898872375,
-0.28826743364334106,
0.31251174211502075,
-0.47756630182266235,
-0.12871187925338745,
0.20760458707809448,
-0.6546485424041748,
-0.543248653411... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
One example is below.
Q: Qui c'è la medusa mortale con le ali ad X.
A: Aquí esta la medusa ala-x de la muerte.
Rationale: The Italian sentence is correctly translated into Spanish, because the meaning is preserved.
Q: Da al... | Desde entonces se ha repetido en Londres, está sucediendo internacionalmente y en todo el país. | 9 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.5534415245056152,
0.8659528493881226,
-0.4327380061149597,
-0.21096271276474,
-0.49937427043914795,
-1.2491426467895508,
0.10304255038499832,
0.8023012280464172,
0.15552715957164764,
-0.39674699306488037,
-0.22616294026374817,
0.4192469120025635,
-0.6039053201675415,
0.6136085391044617,... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Original | 0 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.9425402879714966,
1.0557562112808228,
0.04016232118010521,
-0.0018030053470283747,
-0.06030024588108063,
-0.39032018184661865,
0.23229727149009705,
1.079865574836731,
-0.028549669310450554,
-0.17613643407821655,
-1.0184268951416016,
-0.3225648105144501,
-0.8479565382003784,
0.0438933558... |
Definition: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending ... | non-personal | 2 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.588495135307312,
0.18318867683410645,
0.26682204008102417,
0.4473426342010498,
-0.6752177476882935,
-0.2688589096069336,
1.3117311000823975,
0.18559956550598145,
-0.03029823675751686,
-0.18874689936637878,
-1.15374755859375,
0.2534583806991577,
0.1187344342470169,
-0.039070047438144684,... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT
| 5 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.2583373188972473,
0.8537687659263611,
-0.3022325038909912,
0.13322748243808746,
0.06148434802889824,
-0.050824493169784546,
0.3122721314430237,
0.3526756763458252,
-0.227541983127594,
-0.2883144021034241,
-0.9714522957801819,
-0.2508805990219116,
-0.7454422116279602,
-0.1598024070262909,... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Input: Tem uma estrutura matemática, e podemos utilizar essa estrutura para explorarmos coisas como o mundo das ideias para ver o que anda a ser dito, o que não anda a ser dito, e a sermos um pouco mais h... | Ten unha estrutura matemática, e podemos usar esta estrutura para explorar cousas como o mundo das ideas para ver o que se está a dicir, o que non; para ser un pouquiño máis humanos e, con sorte, un pouquiño máis listos. | 2 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-0.6008633375167847,
0.8412652015686035,
0.11294002830982208,
-0.6648281216621399,
0.3461587727069855,
-0.6795423030853271,
-0.03325239196419716,
0.33258509635925293,
0.22349536418914795,
-0.2921634912490845,
-1.0117952823638916,
-0.10132041573524475,
-0.3928520679473877,
0.216738715767860... |
Translate the given Spanish text to English
Q: Microbicidal compositions are described.
A: | Se describen las composiciones microbicidas. | 4 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.06618386507034302,
0.990483283996582,
-0.2620263397693634,
-0.42134857177734375,
-0.11459872126579285,
-0.8295527100563049,
0.5615668892860413,
0.007968902587890625,
0.20493243634700775,
0.7378066778182983,
0.09638464450836182,
-0.2869275212287903,
-0.029277555644512177,
0.5218499302864... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions shoul... | Question: What is Frank alerted of?, Answer: The closure of Somafree | 4 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.8097614049911499,
0.1700504720211029,
-0.4772801995277405,
-0.15231117606163025,
-0.0340479239821434,
-0.19440069794654846,
0.9498933553695679,
0.6780063509941101,
-0.06388801336288452,
-0.06421404331922531,
-0.1641845852136612,
0.5775883793830872,
-0.31089919805526733,
0.537021160125732... |
Teacher: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 information when c... | Dan lost his job suddenly. | 6 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.08077166974544525,
0.8049530982971191,
0.06043463200330734,
-0.7848819494247437,
-0.31485241651535034,
0.03970202058553696,
0.5725438594818115,
0.20621351897716522,
-0.1856871247291565,
-0.1845872700214386,
-0.19564905762672424,
0.11149242520332336,
-0.5621618032455444,
-0.5170543789863... |
You are given a background paragraph that describes one or more causal or physical relationships, such as a relationship in economics, scientific law, or nature. You need to come up with a fictional story that makes use of the concepts or the relationship described in the provided paragraph. Make sure that your story ... | Bobby and Jimmy are brothers and living in the same house. They both had to stay home from school today due to feeling sick. Their mom has taken the temperature of both boys and found that Bobby has a higher fever than Jimmy. She will closely monitor them over the next couple days and make sure Jimmy's fever doesn't go... | 6 | NIv2 | task059_ropes_story_generation | fs_opt | [
0.06517665833234787,
0.3535412549972534,
-0.7900797128677368,
0.11207441240549088,
0.031725987792015076,
-0.8544574975967407,
0.41141968965530396,
0.8887056708335876,
-0.20753243565559387,
0.19096563756465912,
-0.3684063255786896,
0.7864540815353394,
-0.24800866842269897,
0.143882408738136... |
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Let me give you an example: Coming from a xenophobic race that possesses the unique ability to pass among other species and chooses not t... | Plural | 8 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.0856432914733887,
0.7122399210929871,
-0.060348350554704666,
-0.013263411819934845,
-0.6610921621322632,
-0.3613154888153076,
0.7777382135391235,
-0.03955068439245224,
-0.48476994037628174,
-0.756064236164093,
-0.45827174186706543,
-0.2324058711528778,
-0.8420430421829224,
0.10428532958... |
instruction:
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the s... | Wrong
| 9 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
-0.10243462026119232,
0.14303438365459442,
-0.2610250413417816,
-0.21425683796405792,
0.21523290872573853,
-0.7935811281204224,
0.18683278560638428,
0.502400815486908,
0.27326440811157227,
-0.7117202877998352,
-0.35988789796829224,
0.1275538057088852,
-0.8496451377868652,
-0.16724714636802... |
Teacher:Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, th... | telescope. | 6 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.5597003698348999,
0.9573326706886292,
-0.3421030640602112,
-0.46377742290496826,
0.10667134821414948,
-0.5422757267951965,
0.04985903948545456,
0.06399576365947723,
0.1393985152244568,
-0.4619068503379822,
-0.8093665838241577,
-0.029016058892011642,
-0.47052228450775146,
0.16339457035064... |
Teacher:In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positi... | BDrpdANoWKknnrssvxyznTETiDNBf, mdGQknnrssvxyzRP | 6 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.28843411803245544,
0.2960805892944336,
0.17292392253875732,
-0.660124659538269,
-0.3138589859008789,
-0.0037186688277870417,
0.7421314120292664,
0.006645312532782555,
0.24785295128822327,
-0.1288008987903595,
-0.4445268511772156,
-0.486757755279541,
-0.3842051029205322,
-0.61392211914062... |
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
Q: Des individus sains peuvent, après une période d’incubation d’une semaine en ... | Especially healthy individuals, may, after an incubation period averaging one week, get a diarrhoea that spontaneously resolves over a couple of weeks. | 4 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | zs_opt | [
-0.14725814759731293,
0.7133129835128784,
-0.19110599160194397,
-1.0979946851730347,
0.027240080758929253,
-0.6138333082199097,
-0.11390870809555054,
0.2180159091949463,
0.14529308676719666,
0.17702242732048035,
0.2711264491081238,
0.30349963903427124,
-0.6821903586387634,
-0.1116275265812... |
Instructions: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Input: The film opens with Sunita , a medical student , and her friends working on a project abou... | No | 3 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.04147699475288391,
0.46870607137680054,
-0.19149264693260193,
0.10561226308345795,
-0.15176838636398315,
0.4077673554420471,
0.9841869473457336,
0.8545348644256592,
-0.3218493163585663,
0.10052910447120667,
-0.00048399600200355053,
-0.18455275893211365,
-0.6624116897583008,
-0.0647997260... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Let me give you an example: Egypt (similar results in Jordan)
The answer to this example can be: مصر (با نتایجی مشابه در اردن)
Here is why: This is a good example. The above sentence is correctly translated from English t... | این ویدئو به شدت احساس من را بر انگیخت. | 8 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.24530258774757385,
0.2449359893798828,
0.02742268517613411,
-0.7123216390609741,
-0.7506855130195618,
-1.2357878684997559,
1.4722964763641357,
-0.13787662982940674,
-0.03608579933643341,
-0.05794427916407585,
-0.5204482078552246,
0.6812268495559692,
-0.873462438583374,
0.198504388332366... |
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