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: 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 ... | C | 9 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
0.1911095529794693,
-0.22103071212768555,
-0.12645098567008972,
-0.3926014304161072,
0.39419692754745483,
-0.34345757961273193,
0.5775358080863953,
0.5357064008712769,
0.1902821660041809,
-0.0911363735795021,
-0.7939767241477966,
-0.3066994845867157,
-0.1632973998785019,
-0.247034355998039... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Norwegian Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Norwegian language... | Når De ikke har fått noen rapport i de siste par dager, er grunnen dertil kun at det før nå ikke har vært noe å fortelle. | 4 | NIv2 | task1649_opus_books_en-no_translation | zs_opt | [
-0.7828351855278015,
0.6673324108123779,
0.0673944279551506,
-0.03325963765382767,
-0.40176400542259216,
-0.9468872547149658,
1.1250061988830566,
-0.2406529039144516,
-0.23966604471206665,
-0.6523712873458862,
0.4175393283367157,
0.6470361351966858,
-1.3266074657440186,
0.3905332088470459,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Example: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Example solution: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کو... | Solution: شما بتوسط یادگرفتن کار می کنید ، و بتوسط کار کردن یاد میگیرید. | 5 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.19567465782165527,
0.4666428565979004,
-0.4102252423763275,
-0.06029471009969711,
-0.15851959586143494,
-0.24951736629009247,
0.2196008265018463,
0.6243563890457153,
-0.3924359679222107,
-0.3670554757118225,
-0.6425492763519287,
0.07809589803218842,
-0.19162465631961823,
-0.192909181118... |
Q: 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 ... | Вие сте най-вероятно ще спечели котка в един двор. | 7 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
-0.6332772970199585,
0.20521102845668793,
-0.20519331097602844,
0.2257978767156601,
-0.31016260385513306,
-0.20238731801509857,
0.7673161029815674,
0.8976460099220276,
0.3721667528152466,
-0.9070521593093872,
-0.7788865566253662,
0.9132991433143616,
-0.6356831789016724,
0.4857518672943115,... |
Given the task definition, example input & output, solve the new input case.
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.
Example: hNarAik
Output: hNrk
The three vowels in the input '... | kST | 1 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.5545805096626282,
1.0241291522979736,
-0.29324454069137573,
-0.6226141452789307,
0.12414112687110901,
-0.18278595805168152,
0.5844711065292358,
-0.09992477297782898,
-0.04037506878376007,
0.11303260922431946,
-0.15045878291130066,
-0.454891175031662,
0.26022911071777344,
-0.5909026861190... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | Keeping food fresh is a major user of what? | 8 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.27755436301231384,
0.738214373588562,
0.041259367018938065,
0.21441781520843506,
-0.3772689402103424,
-1.2687928676605225,
0.26296499371528625,
1.0795319080352783,
-0.0765950158238411,
-0.3664175271987915,
-1.0492185354232788,
0.12980866432189941,
-0.19172713160514832,
-0.079768523573875... |
Teacher:You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype... | unrelated | 6 | NIv2 | task319_stereoset_classification_profession | zs_opt | [
-0.5059943199157715,
0.3600846827030182,
0.31389451026916504,
-0.23946592211723328,
0.15721631050109863,
-0.39844363927841187,
0.02089521661400795,
0.6852288246154785,
0.23404192924499512,
-0.23285619914531708,
0.33589160442352295,
-0.41423267126083374,
-0.7205452919006348,
-0.564212322235... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
O persoană pune sare și piper pe o bucată de porc. | A person is putting salt and pepper on a piece of pork. | 0 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
0.07747647911310196,
0.925824761390686,
-0.0492490790784359,
0.34018707275390625,
-0.3397030830383301,
-0.3049418330192566,
0.7779066562652588,
1.069788932800293,
0.47776007652282715,
-0.29295095801353455,
0.33078742027282715,
0.6934409141540527,
-0.9402480721473694,
-0.2837851941585541,
... |
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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | 25830
| 1 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.38929110765457153,
0.1189740002155304,
-0.6456698775291443,
-0.7090714573860168,
0.0337187685072422,
0.1542896032333374,
0.43491432070732117,
0.3111516833305359,
-0.5352972745895386,
0.009060489013791084,
-1.0648458003997803,
0.3588680028915405,
0.12821879982948303,
-0.3838677406311035,... |
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced... | Non-aggresive
| 0 | NIv2 | task336_hateeval_classification_aggresive_es | fs_opt | [
-0.3420763909816742,
0.4814477264881134,
0.021369148045778275,
0.588528037071228,
-0.31672239303588867,
-0.7348897457122803,
0.4168164134025574,
1.4870362281799316,
-0.14815592765808105,
0.20031189918518066,
0.13112886250019073,
-0.09558499604463577,
-0.3966362476348877,
-0.524124503135681... |
Detailed Instructions: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
See one example below:
Problem: English: Details were given by the ... | Yes | 4 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.3035794198513031,
-0.04517286643385887,
0.40252500772476196,
0.3120537996292114,
0.05729777738451958,
-0.7268364429473877,
-0.06846661120653152,
0.4158353805541992,
-0.6827765703201294,
0.06421084702014923,
0.145284503698349,
0.5227837562561035,
0.07591331750154495,
0.5709519386291504,
... |
Teacher:You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Teacher: Now, understand the problem? Solve this instance: Person1: Have you made a reservation ?
Person2: Y... | 1 | 6 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
-0.47935742139816284,
0.27579861879348755,
-0.26142051815986633,
-0.2862784266471863,
-0.068324014544487,
0.052763670682907104,
0.26765352487564087,
-0.07760119438171387,
-0.012558209709823132,
0.19009213149547577,
0.48847347497940063,
-0.5343021750450134,
-0.46919727325439453,
0.093294620... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to count the number of times the given letter appears in the given sentence.
Sentence: 'a delivery truck and a couple of bikes'. Find frequency of the letter 'y'
Output: | 1 | 1 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.5431652665138245,
-0.20029014348983765,
0.1287645846605301,
0.3196100890636444,
0.17582054436206818,
0.36043089628219604,
0.20826008915901184,
1.0004947185516357,
0.2174873948097229,
0.16875144839286804,
-0.6829525232315063,
-0.04701812565326691,
0.32612520456314087,
0.2605227828025818,... |
Generate a correct and concise answer for the question based on the words in the context.
Context : Kim Malthe-Bruun (8 July 1923 -- 6 April 1945) was a Canadian-born seaman and a member of the Danish resistance executed by the German occupying power.
Question : What date did Kim Malthe-Bruun die? | 6 April 1945 | 0 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
0.8363165259361267,
0.9944863319396973,
-0.601172924041748,
-0.3469473719596863,
-0.4925193786621094,
-1.429236650466919,
0.6811171770095825,
0.6473760604858398,
0.6202237606048584,
0.2614744007587433,
0.5319786071777344,
-0.21274960041046143,
-0.11055780947208405,
0.49060264229774475,
-... |
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
Example input: الذهب بعشرة آلاف دولار؟
Example output: Zlato za 10\xa0000 dola... | Podle nich je vzhledem k úzké a zranitelné geografické podobě Izraele a přetrvávajícímu arabskému nepřátelství kontrola nad Západním břehem a Gazou nejen ideologickým imperativem, ale také bezpečnostní nutností. Židovské osady na okupovaných územích pro ně nejsou návratem na historická teritoria, nýbrž bezpečnostními s... | 3 | NIv2 | task1374_newscomm_translation | fs_opt | [
-0.6243591904640198,
0.2621425986289978,
-0.5513787865638733,
0.06945319473743439,
-0.5687680244445801,
-0.08615545928478241,
1.3069510459899902,
0.0010607587173581123,
1.0418775081634521,
-0.39367708563804626,
-0.02908695675432682,
0.7212292551994324,
-1.3101673126220703,
-0.3390493988990... |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Hoje em dia, estamos ao nível das células.
A: | Nos adentraremos en el nivel celular actual. | 7 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.4002109169960022,
0.792278528213501,
0.2493494749069214,
-0.5076842904090881,
-0.15893042087554932,
-0.6497352719306946,
0.26807650923728943,
0.8676667213439941,
0.586640477180481,
-0.5789766907691956,
-0.6021045446395874,
0.2254694551229477,
-0.03357376903295517,
0.8161766529083252,
... |
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.
Input: Consider I... | Output: C
| 2 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
-0.25893980264663696,
0.7446054816246033,
-0.25583988428115845,
0.27091047167778015,
-0.20466157793998718,
-0.24703770875930786,
0.6747254133224487,
1.099199891090393,
-0.21691671013832092,
0.733377993106842,
-0.6064448356628418,
-0.21890118718147278,
0.08939427137374878,
-0.51422178745269... |
Detailed Instructions: Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Q: The men gather and cheer them off.
A: | They have different cards with color names on them. | 9 | NIv2 | task455_swag_context_generation | zs_opt | [
0.7472662925720215,
1.3093042373657227,
-1.0300908088684082,
-0.8099691867828369,
-0.7106583118438721,
-0.7686704993247986,
0.21271920204162598,
0.21979214251041412,
0.8414628505706787,
-0.24117422103881836,
-0.9811716675758362,
0.24023902416229248,
-0.6748247742652893,
0.32646214962005615... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Q: Context_1 : Life and Labour of the People in London was a multi-volume book by Charles Boo... | Christina Booth and Dave Meniketti, share which occupations? | 4 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.10722377896308899,
0.4580426514148712,
-0.6514521837234497,
0.015024335123598576,
0.8437703847885132,
0.039063140749931335,
0.9782537817955017,
0.7826322317123413,
0.39644482731819153,
0.5562416315078735,
-0.4250769317150116,
0.3629601001739502,
-0.4200516641139984,
0.4292828440666199,
... |
Given the task definition, example input & output, solve the new input case.
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its ... | Neutral | 1 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.37775918841362,
0.34554147720336914,
0.5234085321426392,
0.36617687344551086,
0.49744635820388794,
-0.7995243668556213,
0.7683718204498291,
0.5181863903999329,
0.4034644365310669,
0.2100096046924591,
-0.06444218754768372,
0.26333388686180115,
0.06325898319482803,
-0.5753151178359985,
... |
Given the task definition and input, reply with output. In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Text: so i've been tangled up in what seems to b... | had a long distance relationship with a girl, turns my life into hell when i met her. | 5 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
0.10319534689188004,
0.7572948932647705,
-0.2768252491950989,
-0.6066522598266602,
0.2651844024658203,
-0.32416749000549316,
0.5287635922431946,
0.8008912801742554,
-0.22119411826133728,
0.24450187385082245,
0.031047813594341278,
0.6004960536956787,
-0.8628361225128174,
-0.1750213205814361... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Example input: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Example output: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Example explanation: The Japanese sente... | E il contesto è la Terra... lo stesso contesto nel quale stiamo cercando di risolvere i nostri problemi. | 3 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.053288254886865616,
0.4427582025527954,
-0.46345049142837524,
-0.4165697693824768,
-0.5537786483764648,
-1.1506919860839844,
0.2747461795806885,
0.9839620590209961,
0.2846910059452057,
-0.41400274634361267,
-0.558799147605896,
0.6667969226837158,
-0.5257322788238525,
0.09648023545742035... |
Detailed Instructions: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Q: Question: How old was J.D. Sumner when... | 3 | 9 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.9404212236404419,
0.6071634292602539,
-1.0346938371658325,
0.13558852672576904,
0.559870719909668,
-0.6511701345443726,
0.1497993767261505,
0.4269641637802124,
0.5818949937820435,
0.6741961240768433,
0.06420345604419708,
0.8023991584777832,
-0.8636927604675293,
-0.19122669100761414,
0.... |
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 ... | New York
****
| 4 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.08694012463092804,
0.47489118576049805,
-0.07914936542510986,
-0.40726006031036377,
0.3982197642326355,
-0.6620156168937683,
0.28072649240493774,
0.5585391521453857,
-0.10894651710987091,
-0.22926875948905945,
-0.11645334959030151,
0.6697356700897217,
-1.1186316013336182,
0.1177086383104... |
Q: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #CreamPie | Young Japanese girl’... | true | 7 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.3140273094177246,
0.20418746769428253,
0.4799860715866089,
0.22608745098114014,
-0.7292845249176025,
-1.1597301959991455,
-0.6474738121032715,
0.7516059875488281,
-0.08292731642723083,
0.19154104590415955,
0.06681470572948456,
-0.5500025153160095,
-0.6495072245597839,
-0.934054255485534... |
In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
i feel so absolutely stumped on the floor when you dance you re charming and you re gentle specially when you do the continental but this f... | joy | 0 | NIv2 | task875_emotion_classification | zs_opt | [
0.15332871675491333,
0.3362799286842346,
0.46750128269195557,
-0.3136312663555145,
-0.1619095802307129,
-0.7080129384994507,
0.18229784071445465,
0.20922760665416718,
0.1260966807603836,
-0.10223431140184402,
0.23785345256328583,
0.22074568271636963,
-0.8611062169075012,
-0.238045215606689... |
In this task, given a sentence in the Hindi language, your task is to convert it into the English language.
Input: Consider Input: मोर्ने मोर्कल ने तीन विकेट लिए, जबकि तेज़ गेंदबाज स्टेन और स्पिनर इमरान ताहिर ने दो-दो विकेट लिए।
Output: Morne Morkel took three wickets while fast bowler Steyn and Spinner Imran Tahir t... | Output: Petitions were presented by Moore with the undersigned stating "medical experts, not the health minister" should regulate the drug.
| 2 | NIv2 | task544_alt_translation_hi_en | fs_opt | [
-0.10377879440784454,
0.7013403177261353,
0.25452879071235657,
-1.2628364562988281,
0.1988796591758728,
0.19389577209949493,
-0.4432404637336731,
0.012120852246880531,
-0.05774976313114166,
-0.32187584042549133,
-0.4179074168205261,
0.6102027893066406,
-0.6548497080802917,
-0.5287580490112... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Example input: I have bought several of the Vitality canned dog food products and have found them all to be of ... | tasty! | 3 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.6957601308822632,
-0.16430920362472534,
-0.12387821078300476,
-0.11542409658432007,
-0.05419345200061798,
-0.1292736977338791,
0.792583703994751,
0.38787853717803955,
-0.741456151008606,
0.18563321232795715,
0.38284146785736084,
0.22323909401893616,
-0.4604083299636841,
-0.0902994498610... |
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Input: Pero aquí tenemos la versión tres, de la Rodilla ReMovimiento, y si miran aquí, pueden ver los amortiguadores de ruido. Es más silenciosa.
Output: | しかしここでバージョン３ ReMotion Kneeが出てきますここを見てもらうと騒音緩衝材があるのが分かるでしょう静かです | 3 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.18338923156261444,
0.1788235455751419,
-0.3488108217716217,
-0.3206300735473633,
-0.21210160851478577,
0.15823735296726227,
0.28737667202949524,
1.1228487491607666,
0.46615466475486755,
-0.6040984392166138,
-0.6456773281097412,
-0.3903003931045532,
0.09938603639602661,
-0.52536630630493... |
You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea th... | anti-stereotype | 9 | NIv2 | task320_stereoset_classification_race | fs_opt | [
-0.25720202922821045,
0.25391334295272827,
0.31549695134162903,
0.22111669182777405,
-0.07735291123390198,
-0.4058103859424591,
0.3754218816757202,
0.7501441836357117,
0.5502485632896423,
-0.22898846864700317,
-0.5868515968322754,
-0.2910787761211395,
-0.7822998762130737,
-0.22003850340843... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: Legal A... | 法律扶助弁護士デビッド・マッケンジーは漁師はとても貧しくてとても罰金を支払えそうにないと言っている。 | 6 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.24951405823230743,
0.06749637424945831,
0.5271797776222229,
-1.3239493370056152,
0.3106980323791504,
0.29887259006500244,
0.9492477178573608,
0.306194007396698,
0.1552334576845169,
-0.29663705825805664,
-0.3718745708465576,
-0.312977135181427,
-0.9307515025138855,
-0.3083077669143677,
... |
Given the task definition and input, reply with output. In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Questio... | 2 | 5 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.014856453984975815,
0.27035844326019287,
-0.10971789062023163,
-0.3114345967769623,
0.6508017778396606,
0.12675994634628296,
0.7275177240371704,
0.993126392364502,
-0.14593496918678284,
0.024321742355823517,
0.2299339771270752,
0.5463906526565552,
-0.5220792293548584,
-0.4233572483062744... |
Detailed Instructions: 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.
Problem:5853 + 6809 - 8429 + 4211 - 1899 + 7877
Solution... | -2716 | 8 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.17007103562355042,
0.2226434350013733,
-0.9764849543571472,
-0.09861817210912704,
-0.31985658407211304,
-0.2559548020362854,
0.8009116649627686,
0.9676288962364197,
0.3131677508354187,
-0.5284264087677002,
-0.49771732091903687,
-0.48552757501602173,
-0.43611565232276917,
0.3165903687477... |
A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
Example input: इससे देश भर से तथा अन्य स्थानों से भी पर्यटकों का ज्यादा आगमन होगा और वे स्टेच्यू ऑफ यूनिटी की अपनी यात्रा अधिक सुविधाजनक एवं शीघ्रता से कर... | They should decide all these things themselves and produce results. The government is willing to provide Rs. | 3 | NIv2 | task1024_pib_translation_hindi_english | fs_opt | [
-0.6216098070144653,
0.5015527606010437,
0.012318828143179417,
0.3147708773612976,
-0.07217131555080414,
-0.7700860500335693,
0.035495735704898834,
0.34793639183044434,
0.11153910309076309,
-0.39997854828834534,
0.09411955624818802,
0.9776111245155334,
-0.048318155109882355,
-0.10343465954... |
Instructions: In this task, given a sentence in the Japanese language, your task is to convert it into the English language.
Input: 米国の繊維産業グループであるアメリカ製造業通商措置連合の事務局長のAuggieTantilloによると、この動きは10,000人の米国の雇用を守ることになる。
Output: | According to Auggie Tantillo, executive director of the American Manufacturing Trade Action Coalition, a textile industry group in the U.S., the move will preserve 10,000 U.S. jobs. | 3 | NIv2 | task542_alt_translation_ja_en | zs_opt | [
-0.013936035335063934,
-0.2652328908443451,
0.07377943396568298,
0.3033405542373657,
-0.05487128719687462,
-0.6190346479415894,
-0.39994779229164124,
-0.174961656332016,
-0.9881057143211365,
0.37180042266845703,
0.07644595205783844,
-0.7067949771881104,
-0.0038168481551110744,
-0.133702516... |
Given the task definition, example input & output, solve the new input case.
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Example: Bob to... | Mary slung a bag to the woman from work | 1 | NIv2 | task132_dais_text_modification | fs_opt | [
-0.1702575385570526,
0.8577122688293457,
-0.19432726502418518,
-0.010074034333229065,
0.34744423627853394,
-0.3293974995613098,
-0.1452685296535492,
0.7839715480804443,
0.4312901198863983,
-0.3969040811061859,
-0.3797449469566345,
0.23438683152198792,
0.35337865352630615,
-0.31152820587158... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Q: Sentence: 'a man is holding a surfboard decorated with the image of a woman'. Remove all words of length '9' in the given sentence.
A: | a man is holding a with the image of a woman | 4 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
0.06393253803253174,
0.10426485538482666,
-0.245510995388031,
-1.1865456104278564,
0.02295723557472229,
-0.7646276950836182,
0.04556006193161011,
0.537939190864563,
-0.03920240327715874,
-0.1310727447271347,
-0.9844636917114258,
-0.05938620865345001,
-0.6077182292938232,
-0.235554680228233... |
Teacher:A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: ਨੈਸ਼ਨਲ ਯੂਥ ਕੋਰ (ਐੱਨਵਾਈਸੀ)
Student: | నేశనల్ యూత్ కోర్ (ఎన్ వైసి); | 6 | NIv2 | task1065_pib_translation_punjabi_telugu | zs_opt | [
0.233865886926651,
1.0540623664855957,
0.07233838737010956,
0.18656155467033386,
0.10658331960439682,
-0.9865556359291077,
0.47837650775909424,
-0.06859488785266876,
0.22062501311302185,
0.09376421570777893,
0.12797673046588898,
-0.24941489100456238,
-0.6846158504486084,
-0.220351278781890... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Q: זה שיר שכתבתי על משמעות הטכנולוגיה, שמתאים בדיוק לכנס הזה.
A: | This is a song that I wrote about the meaning of technology, which goes perfectly with this gathering. | 9 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.6540473103523254,
0.7279640436172485,
-0.09270681440830231,
0.025421105325222015,
-0.5554691553115845,
-1.0393974781036377,
0.20488539338111877,
0.20890593528747559,
0.49221622943878174,
0.19067445397377014,
-0.3414810597896576,
0.5699045658111572,
-0.3203815817832947,
0.410672426223754... |
Detailed Instructions: In this task, you are given a country name, and you need to return the country's surface area in terms of square kilometers. Up to two decimal places are allowed in your answer.
Problem:Burkina Faso
Solution: | 274000.00 | 8 | NIv2 | task1428_country_surface_area | zs_opt | [
0.509183406829834,
0.21981489658355713,
-0.15580224990844727,
-1.3324114084243774,
-0.24999971687793732,
0.6012428998947144,
0.7063987851142883,
-0.44905954599380493,
-0.5533475875854492,
0.14657211303710938,
-0.7811258435249329,
0.879253625869751,
-0.1264936923980713,
-0.28628355264663696... |
Given the task definition and input, reply with output. Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
In the auditorium, someone watches the performance, apparently spellbound. People
| , someone is flowing in a beautiful dress, leaning over someone with a pendant brolly at her neck. | 5 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
0.568791389465332,
1.5616368055343628,
-0.3208947777748108,
0.09543398022651672,
-0.011825657449662685,
0.07582849264144897,
-0.2711489200592041,
0.1141626238822937,
0.6569511890411377,
-0.11379092931747437,
-0.30569636821746826,
-0.04043255001306534,
-0.14002637565135956,
-0.2438666820526... |
Instructions: 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 y... | a | 3 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.7269420623779297,
0.4587371349334717,
-0.6612850427627563,
0.262187659740448,
-0.2712947726249695,
-0.8572980761528015,
0.2776362895965576,
0.6829050779342651,
0.13403958082199097,
0.6240102052688599,
-0.011421388946473598,
0.02656579576432705,
-0.4667673707008362,
-0.8033907413482666,
... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
[Q]: Sounds big. Any more on... | user
| 5 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
0.06840294599533081,
0.7781928777694702,
-0.22668948769569397,
-0.3484984338283539,
-0.8654500246047974,
0.05608857795596123,
1.5542205572128296,
-0.5956156253814697,
0.6345973610877991,
0.08361748605966568,
-0.24373212456703186,
-0.20461887121200562,
-0.5052543878555298,
-0.02617487683892... |
TASK DEFINITION: A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
PROBLEM: केंद्रीय पूर्वोत्तर क्षेत्र विकास राज्य मंत्री (स्वतंत्र प्रभार) और प्रधानमंत्री कार्यालय, कार्मिक, लोक शिकायत एवं पेंशन, परमाणु ऊर्जा... | یہاں موجود سبھی سینئر سامعین، خواتین و حضرات۔
| 8 | NIv2 | task1053_pib_translation_hindi_urdu | fs_opt | [
0.2681599259376526,
0.20766128599643707,
-0.008661787025630474,
-0.17153137922286987,
0.24215584993362427,
-0.11973903328180313,
0.553562581539154,
0.4815632700920105,
-0.13817092776298523,
0.27723127603530884,
0.2853105664253235,
-0.29302191734313965,
-0.037091560661792755,
0.318774759769... |
Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability o... | Solution: Nếu anh từ chối công việc thì anh nên ra khỏi giường đi. | 5 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
0.36375904083251953,
0.2867008149623871,
-0.09820406138896942,
0.31358569860458374,
-0.10380113869905472,
-0.9401668906211853,
0.36608046293258667,
1.4686975479125977,
-0.23210331797599792,
0.35335251688957214,
-0.8100218772888184,
-0.2713240683078766,
-0.27741575241088867,
-0.291226029396... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
One example: For four years we have waited ... | Israel | 6 | NIv2 | task339_record_answer_generation | fs_opt | [
-0.1864330768585205,
0.6459876894950867,
-0.34429824352264404,
-0.02095617540180683,
-0.18817076086997986,
0.6090762615203857,
0.369765043258667,
0.6379039883613586,
-0.11233322322368622,
1.0295848846435547,
0.4278736114501953,
0.7435585260391235,
-0.7919483184814453,
0.44324827194213867,
... |
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... | During the interview.
| 7 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
0.9390573501586914,
0.34727394580841064,
-1.0202654600143433,
0.3659482002258301,
-0.25921186804771423,
-0.25352931022644043,
1.023561716079712,
1.141410231590271,
-0.24077439308166504,
0.15023502707481384,
-0.203657865524292,
-0.03766867145895958,
-0.3921399414539337,
0.3248538076877594,
... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. 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 creating the endin... | Mary gave birth during their travels.
| 0 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.07765599340200424,
0.6915387511253357,
0.4241108298301697,
-0.3546202778816223,
-0.44705262780189514,
-0.22299176454544067,
0.13110068440437317,
0.589909553527832,
0.11110255867242813,
0.40920746326446533,
-0.8841150999069214,
0.5135467052459717,
0.15133458375930786,
-0.2212999165058136... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Q: Bought 1/2 lb each of five different Mo's Fudge recently from a school fundraiser. I'm not much of a chocolat... | Wonderful fudge | 4 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
0.5068529844284058,
0.03384561091661453,
0.20116496086120605,
-0.5718700885772705,
0.06496497988700867,
-0.23637755215168,
0.6984806060791016,
0.71222984790802,
-0.4121660590171814,
-0.04065505415201187,
-0.05561802163720131,
-0.4217366576194763,
-1.1796941757202148,
-0.5144494771957397,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Q: Comment: "MY GUN MATTERS" - Bang Bang thug, y... | Threat
****
| 4 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.628868818283081,
0.9516730904579163,
0.29954180121421814,
0.1690315157175064,
0.12534025311470032,
-0.6513025760650635,
1.0920183658599854,
1.3014931678771973,
0.205109104514122,
0.2776604890823364,
0.15181931853294373,
0.30190855264663696,
-0.9033179879188538,
-0.4935711920261383,
0.... |
Detailed Instructions: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Q: Who played 'Captain Corelli' in the film 'Captain Corelli's Mandolin'?
A: | captain corelli's mandolin | 9 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.22252100706100464,
1.0231691598892212,
-0.15188151597976685,
-0.710257887840271,
-0.30487263202667236,
-0.49852484464645386,
0.2537958323955536,
0.3672976493835449,
0.06910812854766846,
-0.6952614188194275,
-0.5771462917327881,
-0.15626020729541779,
-1.0786502361297607,
0.459307253360748... |
Detailed Instructions: Given a sentence in Chinese, generate a new Chinese 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 reasona... | 如果您想要构建一个内存, 那么您应该重建一个计算机 。 | 8 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.11962525546550751,
0.32794317603111267,
-0.433790385723114,
-0.008429168723523617,
0.33935093879699707,
-0.13758806884288788,
0.1397227942943573,
0.8751906752586365,
0.15639732778072357,
0.10033838450908661,
-0.1541653871536255,
0.023284990340471268,
-0.009746577590703964,
0.16406261920... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of ... | -RRB- | 8 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
-0.1338120698928833,
0.47929275035858154,
-0.27036726474761963,
0.2515662610530853,
-0.1990022361278534,
-0.41736143827438354,
0.6812355518341064,
0.9516173601150513,
-0.4083765745162964,
-0.37996551394462585,
-0.4447569251060486,
0.47012680768966675,
-0.6401877403259277,
-0.22400467097759... |
In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
[EX Q]: Term: Silu... | Fact1: Bitcoin was launched as a currency in 2009. Fact2: The Louisiana Purchase was in 1803.
| 6 | NIv2 | task169_strategyqa_sentence_generation | fs_opt | [
0.058782462030649185,
0.2126430869102478,
-0.2228625863790512,
0.7559343576431274,
0.0181645005941391,
-0.9447548389434814,
-0.5134500861167908,
1.5197219848632812,
-0.4429733157157898,
0.1352662742137909,
0.09062162041664124,
0.4793882966041565,
-0.09150546044111252,
-0.310172975063324,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Se non me cren, pregúntenlle a Sam. | اذا لم تصدقوني اسألو سام | 0 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-1.0009548664093018,
0.33476927876472473,
0.3235989809036255,
-1.293168544769287,
-0.43931668996810913,
-0.6426326036453247,
0.6421228647232056,
0.20839516818523407,
-0.4385184347629547,
-0.029635164886713028,
-0.343502938747406,
0.15757347643375397,
-1.1341285705566406,
0.1956710815429687... |
Q: Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Problem: in a school with 5 classes, each class has 2 students less than... | b | 7 | NIv2 | task1678_mathqa_answer_selection | zs_opt | [
0.5905863046646118,
-0.21006175875663757,
-0.047653935849666595,
-0.3015367388725281,
0.1942460536956787,
-0.3764374852180481,
0.7175871729850769,
0.7937198877334595,
-0.5349411964416504,
0.6595246195793152,
-0.09720401465892792,
-0.10508140176534653,
0.12643751502037048,
-0.76187890768051... |
You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they will cont... | What Ginger Knowles truly is? | 4 | NIv2 | task405_narrativeqa_question_generation | zs_opt | [
0.15450718998908997,
0.14676323533058167,
-0.37885940074920654,
-0.14577913284301758,
0.325009286403656,
-0.4762490391731262,
0.8161044120788574,
0.6062833070755005,
-0.3531469702720642,
0.6109172105789185,
-0.28388309478759766,
0.165827214717865,
0.012411403469741344,
0.34457266330718994,... |
Detailed Instructions: 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 buildin... | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_RIGHT | 9 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
-0.17919591069221497,
0.9264698028564453,
-0.055939167737960815,
-0.19977259635925293,
0.07946410775184631,
0.15960516035556793,
0.2573881149291992,
-0.09063771367073059,
-0.020266324281692505,
-0.23156492412090302,
-0.6743351817131042,
0.48216041922569275,
-0.6467596888542175,
0.053345501... |
In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. The correct answer w... | durant la baixa edat mitjana
| 1 | NIv2 | task837_viquiquad_answer_generation | fs_opt | [
0.6609749794006348,
0.5549837350845337,
-0.6106967926025391,
0.32500290870666504,
-0.1216002032160759,
-0.21403804421424866,
0.6435403823852539,
1.034329891204834,
0.49304622411727905,
-0.027451904490590096,
-0.19632601737976074,
0.6435202956199646,
-0.43117693066596985,
0.4218713045120239... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as ... | Luggage on a carousel at the airport awaiting claim | 1 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.40527263283729553,
0.44459059834480286,
-0.3687499165534973,
-0.2143290638923645,
-0.13761770725250244,
-0.4728238582611084,
0.38313788175582886,
0.9293893575668335,
0.06600771844387054,
-0.2074776291847229,
-0.5877729654312134,
-0.01635846309363842,
-0.46022385358810425,
-0.14080932736... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Q: «و قوم را بگو که برای فردا خود را تقدیس نمایید تا گوشت بخورید، چونکه در گوش خداوند گریان شده، گفتید، کیست که ما را گوشت بخوراند! زیرا که در مصر ما را خوش میگذشت! پس خداوند شما را گوشت خواهد داد تا بخورید... | Whence should I have flesh to give unto all this people? for they weep unto me, saying, Give us flesh, that we may eat. | 4 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
-0.8663346767425537,
0.8215015530586243,
-0.13966137170791626,
-0.3779261112213135,
-0.8230112791061401,
-0.07394924759864807,
0.9292055368423462,
-0.1945280134677887,
0.07401634752750397,
-0.0008022083784453571,
-0.6456255316734314,
0.6930291652679443,
-1.0700454711914062,
0.7188051939010... |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or... | False | 5 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.06961864233016968,
0.06726996600627899,
0.45566362142562866,
0.38389450311660767,
0.3293888568878174,
-0.21772390604019165,
0.6385730504989624,
0.8653663396835327,
-0.030342500656843185,
-0.056716203689575195,
-0.23809121549129486,
0.13379940390586853,
-0.7403379678726196,
-0.1201424002... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Example: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Output: E eu continuo a pensar que o transporte é o centro deste universo.
The Farsi... | Deixem-me mostrar-vos como é programar no Scratch. | 1 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.6482275128364563,
0.7741855978965759,
-0.13252919912338257,
0.07877413183450699,
-0.6796620488166809,
0.49498045444488525,
0.4524133801460266,
0.35936450958251953,
0.2502468228340149,
0.017798984423279762,
-0.809956431388855,
0.6042432188987732,
0.00672652292996645,
0.5732413530349731,
... |
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 ... | In the morning | 4 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.84390789270401,
1.0763819217681885,
-0.5379008650779724,
0.08610701560974121,
-0.3397771716117859,
-0.5425806045532227,
0.3404858708381653,
0.6634851694107056,
-0.3643684983253479,
-0.19228790700435638,
-0.29731348156929016,
-0.5225697159767151,
-0.4661840796470642,
-0.9585473537445068,
... |
Teacher:In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
Teacher: N... | Not sad | 6 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | zs_opt | [
-1.6768248081207275,
0.05120774358510971,
0.8026615381240845,
-0.29970619082450867,
0.03783506900072098,
-1.3226161003112793,
0.5066057443618774,
0.41617393493652344,
0.28679049015045166,
0.5898680686950684,
-0.15861253440380096,
-0.6523177027702332,
-0.3036390542984009,
-0.162609517574310... |
Given the task definition and input, reply with output. In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
[5199, 2371, 9565, 4817, 'C', 601, 'J', 'Q', 'n', 'm', 'B', '3907', 'G', 'B', 5049, 6351], [4341, 's', 'U', 9549, 7399, 'J', 5549, 'J', 'Q', 'n', 'm', 'B', '3907'... | J, Q, n, m, B, 3907, G | 5 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.4865480959415436,
0.713442325592041,
-0.5327600240707397,
-0.7161214351654053,
-0.3502945601940155,
0.0884568840265274,
-0.6928972601890564,
-0.17872458696365356,
-0.5528687238693237,
0.024128898978233337,
-0.8318601250648499,
0.27211299538612366,
0.6609172821044922,
0.5212486982345581,... |
Q: Given a sentence, 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].
Verify if the sentiment of the following document towards the entity Rupert Stadler is Positive . Separate... | no | 7 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-1.5247411727905273,
-0.4408724009990692,
-0.18652506172657013,
0.0101044662296772,
-0.7967921495437622,
-0.5291856527328491,
0.5140476822853088,
0.25245124101638794,
0.7980732917785645,
0.06395433843135834,
0.41299957036972046,
0.057701148092746735,
0.1499744951725006,
-0.3498349189758301... |
Instructions: Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable... | Anh sẽ đe dọa các quốc gia khác bởi vì anh muốn nắm giữ liên bang nhiều hơn. | 3 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
-0.33027493953704834,
0.18363091349601746,
-0.00302328378893435,
0.1608642339706421,
0.0007863626815378666,
-0.4720277190208435,
0.04179679602384567,
0.8868663311004639,
-0.27753084897994995,
0.3077305853366852,
-0.6505014896392822,
0.19768932461738586,
-0.2325780689716339,
0.1261771619319... |
Given the task definition and input, reply with output. In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the fo... | Damion got dressed for his wife >Causes> he feel(s) happy | 5 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
-0.3791704773902893,
0.45341193675994873,
0.40996551513671875,
0.0033033667132258415,
-0.2729322910308838,
-0.5213171243667603,
0.4358275234699249,
1.0232712030410767,
0.033894963562488556,
0.3745132088661194,
-0.729799211025238,
0.2557833790779114,
-0.32060348987579346,
-0.166184753179550... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
שמעתי אנשים אחרים אומרים שההפך הוא הנכון, שזה עוד שלב של מעמד הביניים שיש להם את הדבר שיכול להילקח מהם על ידי טכנולוגיה חדשה ושזה למעשה סימן מבשר רעה, משהו שצריך להדאיג אותנו. | E ho sentito altri affermare il contrario, che questo è un ulteriore settore della classe media che si vede rubare quello che sa fare dalle nuove tecnologie, e che questo è davvero un brutto segno, di cui dovremmo preoccuparci. | 0 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.17409341037273407,
0.7607121467590332,
-0.14890992641448975,
0.48137128353118896,
-0.6745413541793823,
-0.3827613592147827,
-0.025442691519856453,
1.2732901573181152,
0.28348639607429504,
-0.5156716108322144,
-0.5607891082763672,
0.6686304807662964,
-0.4441301226615906,
0.15161813795566... |
Detailed Instructions: 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.
Q: Category: LEFTOVERS
Clue: In names of cocktails this color precedes... | blue | 9 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.705414891242981,
0.28048479557037354,
-0.4950152039527893,
-0.4877755641937256,
-0.315002977848053,
0.019743632525205612,
0.22757528722286224,
-0.0070887417532503605,
0.2929825782775879,
-0.10471516102552414,
-0.27008312940597534,
-0.3545137345790863,
-0.31900790333747864,
0.22472640872... |
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Ex Input:
1. Pastry: Pre-heat oven to 190deg.C. Mix the flour and sugar together. Rub in the butter and add water, then mix the pastry until well blended. ... | Sprinkle the rest of the Parmesan on the pasta when serving.
| 1 | NIv2 | task572_recipe_nlg_text_generation | fs_opt | [
0.9687343835830688,
0.028749041259288788,
-0.3656608462333679,
0.012448678724467754,
0.3609967827796936,
0.2803677022457123,
0.4281563460826874,
1.1447912454605103,
0.10792168229818344,
0.1714029461145401,
-0.13667424023151398,
-0.021673887968063354,
0.07204005122184753,
0.1756201982498169... |
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..
Example input: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
Example output: ... | How would you describe Kendall? | 3 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
-0.16610465943813324,
1.1282994747161865,
0.39706069231033325,
-0.325641930103302,
-0.2842188775539398,
-0.5907524824142456,
0.2380390614271164,
0.14771749079227448,
0.525429368019104,
0.08629833161830902,
-0.5820555090904236,
0.08832761645317078,
-0.8058984875679016,
0.04449102282524109,
... |
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.
@Sianz oh go to Partyland on your lunchbreak ;D yeah! | negative | 0 | NIv2 | task195_sentiment140_classification | zs_opt | [
-1.5482012033462524,
0.4062209129333496,
0.9763473272323608,
0.572911262512207,
0.16072134673595428,
-0.5872441530227661,
0.19567789137363434,
0.4002458453178406,
0.12650257349014282,
1.0106202363967896,
-0.0690627470612526,
-0.5336709022521973,
-0.18435680866241455,
-0.3491024076938629,
... |
Given the task definition, example input & output, solve the new input case.
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 ... | number | 1 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.701407253742218,
0.19845730066299438,
-0.5164022445678711,
0.09775398671627045,
0.4763082265853882,
-0.36680763959884644,
0.9759199619293213,
0.5031589865684509,
0.15289875864982605,
-0.09782412648200989,
-0.3333713412284851,
0.723641037940979,
-0.45927587151527405,
-0.005775202997028828... |
TASK DEFINITION: In this task, you need to count the number of nouns/verbs in the given sentence.
PROBLEM: Sentence: 'An airplane near a wire and post fence'. Count the number of verbs in this sentence.
SOLUTION: 1
PROBLEM: Sentence: 'A room that has vases/urns on display'. Count the number of verbs in this sentence... | 3
| 8 | NIv2 | task155_count_nouns_verbs | fs_opt | [
-0.045488037168979645,
0.7098672389984131,
-0.6128507852554321,
-0.5168581008911133,
-0.5905645489692688,
0.5222031474113464,
0.6023740768432617,
0.3089051842689514,
0.08886536955833435,
-0.10649928450584412,
-0.6952096223831177,
0.13741853833198547,
-0.5068735480308533,
0.6069942116737366... |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Ex Input:
It is a legislative package, then, that reconciles health and the environment with competitiveness and innovation, instead of pitting them against one another, as is all ... | Трудно е да се каже сега колко енергия се хаби в Европейския съюз.
| 1 | NIv2 | task272_europarl_translation | fs_opt | [
-0.3584373891353607,
0.4864858388900757,
-0.1670932173728943,
-0.3995518088340759,
-0.1322810798883438,
-0.6745246648788452,
-0.22664283215999603,
1.0971108675003052,
0.6855740547180176,
-0.20702466368675232,
-0.1875682771205902,
1.2174259424209595,
-0.3354559540748596,
-0.6817891001701355... |
Given the task definition, example input & output, solve the new input case.
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) c... | When did the Great Depression start? | 1 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.9856570959091187,
0.419343501329422,
-0.65492844581604,
-0.15337370336055756,
0.4804219603538513,
-0.2405695915222168,
1.0083298683166504,
1.2438843250274658,
-0.32173287868499756,
0.4355383515357971,
-0.3914530873298645,
0.1754186749458313,
-0.43877336382865906,
0.23704186081886292,
-... |
instruction:
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
question:
در سطح بینالمللی، به پیشنهاد یونسکو روز ۵ اکتبر (۱۳ مهر) هر سال به عنوان روز جهانی معلم نامگذاری شدهاست. با این حال در بسیاری از کشورها از ... | امنیت محیط زیستی نیروگاه هستهای است
| 9 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
0.7168157696723938,
0.32009220123291016,
-0.3502725064754486,
0.004160013049840927,
0.2111402302980423,
-0.4280829131603241,
0.34638363122940063,
1.0207537412643433,
-0.4268243908882141,
-0.08990801125764847,
-0.22913536429405212,
0.02294694073498249,
-0.25785183906555176,
0.01767829060554... |
Teacher:In this task, you need to reverse the order of words in the given sentence.
Teacher: Now, understand the problem? Solve this instance: Sentence: a clock tower with a set windows and a weather indicator on top
Student: | top on indicator weather a and windows set a with tower clock a | 6 | NIv2 | task376_reverse_order_of_words | zs_opt | [
0.2057226598262787,
1.1330626010894775,
-0.29837870597839355,
-0.21435892581939697,
-0.3674769997596741,
-0.6997977495193481,
0.02309199795126915,
0.9178524017333984,
0.20630893111228943,
-0.04358629882335663,
-0.8195257186889648,
-0.7094179391860962,
-0.7124722003936768,
-0.11695155501365... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
A gunman opened fire at a hunting shop in the Russian city of yesterday, lea... | फ्रांस ने कल आयरलैंड का ग्रैंड स्लैम - यूरोपीय रग्बी का शीर्ष खिताब - जीतने का सपना पूरा किया।
| 0 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
0.27212411165237427,
-0.017355360090732574,
0.16586370766162872,
-0.771361231803894,
0.21239066123962402,
0.4748383164405823,
0.10873593389987946,
0.7584151029586792,
-0.045792385935783386,
-0.3977001905441284,
-0.8316833972930908,
0.7050176858901978,
-0.8931000232696533,
-0.03992691263556... |
Detailed Instructions: Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the ... | Does adalimumab significantly reduce the recurrence rate of anterior uveitis in patients with ankylosing spondylitis? | 8 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
1.2949721813201904,
0.3954976797103882,
-0.599632740020752,
0.08809662610292435,
-0.37458252906799316,
-0.8266247510910034,
0.7753574252128601,
0.6942530274391174,
0.4767438769340515,
0.22264450788497925,
-0.25366446375846863,
-0.254458487033844,
-1.0519133806228638,
0.15359008312225342,
... |
A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
Let me give you an example: Our nation has an experience of 200-225 years in manufacturing metal
The answer to this example can be: మా దేశం తయారీలో 200-2... | చారిత్రక కార్యక్రమం లో పాలుపంచుకొనే అవకాశాన్ని మీరందరూ నాకు కల్పించారు. | 8 | NIv2 | task1047_pib_translation_english_telugu | fs_opt | [
-0.6067800521850586,
1.088087558746338,
-0.2869730591773987,
0.2550576627254486,
0.13934923708438873,
-1.7653756141662598,
-0.13747429847717285,
0.1842087209224701,
-0.12208916991949081,
0.5520815849304199,
-0.4624912440776825,
0.7947583794593811,
-0.7278332710266113,
-0.12162703275680542,... |
Detailed Instructions: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the... | REFERENCE car | 8 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.06658935546875,
0.24144050478935242,
-0.17475450038909912,
0.26344627141952515,
-0.21406933665275574,
-0.4731305241584778,
1.2032526731491089,
1.1214803457260132,
0.0540778785943985,
0.014992469921708107,
-0.5199849605560303,
0.16856041550636292,
-0.2845182418823242,
-0.1077960208058357... |
Given the task definition, example input & output, solve the new input case.
In this task you are given data in the tabular format and a question. Write the answer to the question based on the information in the table.
Example: Table: ['Pick', 'Player', 'Team', 'Position', 'School']. ['1', 'Ben McDonald', 'Baltimore Or... | ['Bulgaria', 'Spain', 'Belarus', 'Russia', 'Ukraine', 'Japan', 'Italy', 'Hungary'] | 1 | NIv2 | task758_msr_sqa_question_answer_generation | fs_opt | [
-0.19655001163482666,
-0.0377272292971611,
-0.762138843536377,
-0.2046118676662445,
0.2920461595058441,
-0.22944627702236176,
0.5693901777267456,
0.7850052118301392,
-0.277445524930954,
-0.32422569394111633,
0.23981478810310364,
0.8526464104652405,
-0.22969873249530792,
-0.1979577541351318... |
Given scene/plot descriptions from movies or TV shows, and given a specific question about the scene, summarize the question into a title
Ex Input:
While watching a behind the scenes video on some of the visual effects in Black Swan, they show how some of the mirror effects are done and point out that a "hero plate" w... | What was the significance of Kurtz joining airborne
| 1 | NIv2 | task1638_doqa2.1_movies_text_summarization | fs_opt | [
0.15366755425930023,
0.2918582260608673,
-0.779320240020752,
-0.30876946449279785,
-0.5308047533035278,
-1.2151880264282227,
0.30431991815567017,
1.214127779006958,
-0.036480776965618134,
0.5832579731941223,
0.3311041593551636,
0.5846415758132935,
-0.7420259714126587,
0.1112845242023468,
... |
Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Input: وكما قال زميلي الممثل الدائم لباكستان، فإن أحكام ميثاق الأمم المتحدة واضحة جدا بشأن من يحق له أن يطلب العضوية في هذه الدار.
Output: | As my colleague the Permanent Representative of Pakistan has said, the provisions of the Charter of the United Nations are very clear as to who is entitled to apply to be a member of this House. | 3 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.8943405747413635,
0.3304995596408844,
-0.6330374479293823,
-0.37233251333236694,
-0.21502940356731415,
-0.48946040868759155,
1.1074193716049194,
-0.9163157939910889,
0.12232677638530731,
0.3838087022304535,
-0.3582371473312378,
0.6779683828353882,
-0.5842908620834351,
0.7032434344291687,... |
Instructions: Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
Input: Next, beer for women and gays made with sperm. Yuck to both!
Output: | Yes | 3 | NIv2 | task1720_civil_comments_toxicity_classification | zs_opt | [
-0.021618474274873734,
0.5722813606262207,
0.2567968964576721,
0.7598611116409302,
0.04769770801067352,
-0.776358962059021,
-0.17739984393119812,
0.804316520690918,
0.5469421148300171,
0.451457679271698,
-0.20725296437740326,
0.26376593112945557,
-0.3133888840675354,
-0.8350245952606201,
... |
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 travel related situation, and given a specific question about the situation, summarize the question into a title
The green carriage is of course first class. This would be our first preferen... | Peru: Can I reserve the hostels on the same day I arrive in a new city? | 0 | NIv2 | task1639_doqa2.1_travel_text_summarization | fs_opt | [
0.16233862936496735,
-0.918819785118103,
-0.5054258108139038,
0.4416144788265228,
0.04793080687522888,
-0.10334500670433044,
-0.3438464105129242,
0.9038699865341187,
0.2504240572452545,
0.07992769777774811,
0.1917485147714615,
0.1524520218372345,
0.22917678952217102,
0.06667420268058777,
... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Description
| 0 | NIv2 | task1289_trec_classification | fs_opt | [
-0.028304651379585266,
0.05966680496931076,
0.27363696694374084,
-0.043335869908332825,
-0.36477258801460266,
-0.7030735611915588,
0.3532565236091614,
-0.05361423268914223,
0.058090295642614365,
-0.08445832133293152,
-0.46582740545272827,
-0.04123783856630325,
-0.45047831535339355,
-0.2429... |
Construct a question that every answer in the list is correct and reasonable for it.
--------
Question: spouse, family, best friend, jennifer aniston, denzel washington, brad pitt
Answer: name the person you would most like to be stranded with.
Question: madonna, cher, shakira, beyonce, prince
Answer: name a singer... | name a reason you might not get hired for a job.
| 7 | NIv2 | task821_protoqa_question_generation | fs_opt | [
0.6945171356201172,
0.8225836753845215,
-0.5708849430084229,
-0.24812744557857513,
0.03255431354045868,
-0.9801528453826904,
0.9400367140769958,
-1.0158729553222656,
0.3950994908809662,
-0.10888735204935074,
0.12583571672439575,
0.17250409722328186,
-0.8503630757331848,
-1.1312203407287598... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Persian.
See one example below:
Problem: In the southwestern part of Nigeria, the plant is known as Gbe'borun.
Solution: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe 'borun شناخته می شود.
Explanation: The Engl... | وقتی یکی رو پیدا کنه ، نیش خود رو در او فرو می کنه که همچنین یک ارگان حسی است. | 4 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
0.1367557793855667,
0.37630754709243774,
-0.06855255365371704,
-0.06137291342020035,
0.04567926004528999,
-1.2495887279510498,
1.1190228462219238,
0.10836142301559448,
-0.006599916145205498,
0.7827776670455933,
-0.5668321251869202,
0.009530477225780487,
-1.0002117156982422,
0.5372016429901... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
[Q]: Given Relationship: 'attack', Sentence: 'The Japanese attack on Pearl Harbor on Dec. 7 , 1941 led soldiers of the 28th to remain on active for the duration ... | located
| 5 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
0.1635720431804657,
-0.05343308672308922,
-1.162278175354004,
0.004723236430436373,
0.34144479036331177,
-0.37636250257492065,
0.6104564666748047,
0.04027170315384865,
0.6078063249588013,
-0.4252745509147644,
0.6288356781005859,
-0.09387627989053726,
-0.7354828119277954,
-0.123922951519489... |
Given the task definition and input, reply with output. In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
What does man pass himself off as in the 1934 film in which Jean Muir plays Caroline Grant ?
| doctor | 5 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-0.7757128477096558,
1.2810423374176025,
-0.9061315059661865,
0.6392771005630493,
-0.09562219679355621,
0.7902965545654297,
-0.273578405380249,
0.4143122434616089,
-0.30313950777053833,
0.224405437707901,
-0.10083959251642227,
-0.14477324485778809,
-0.12915223836898804,
-0.3264517486095428... |
Detailed Instructions: Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Problem:These kids are being raised by parents. I wish more kids were being raised by paren... | Hope Speech | 8 | NIv2 | task679_hope_edi_english_text_classification | zs_opt | [
-0.12523677945137024,
0.25741660594940186,
0.11811762303113937,
0.28260788321495056,
-0.8651211857795715,
-0.6376960277557373,
0.36308422684669495,
1.4974784851074219,
0.209496408700943,
0.13296890258789062,
-0.43507224321365356,
0.01197211816906929,
-0.4506235718727112,
0.1984422504901886... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | It snows >Causes/Enables> Tom plays in the snow | 3 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.32879990339279175,
0.3487778306007385,
-0.2067021280527115,
-0.25293251872062683,
-0.03970061242580414,
-0.576417088508606,
0.19928628206253052,
1.0381991863250732,
-0.733360230922699,
0.14513733983039856,
-0.6850802898406982,
0.9904224872589111,
-0.5795559287071228,
-0.6573628187179565,... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
E potete vedere che questo cambio nella massa restituisce a tutti e 48 gli appartamenti una unica forma e dimensione, ma sempre all'interno di, una specie, di limite controllato e un involucro di cambiamento.
Y se puede ve... | Así puede — y lo puede hacer en un espacio muy pequeño de hecho.
| 0 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.32639801502227783,
1.0006577968597412,
-0.33088502287864685,
0.1741773784160614,
-0.16498126089572906,
-0.30961304903030396,
0.39491671323776245,
1.5355173349380493,
-0.17426325380802155,
-0.5578259229660034,
-0.4936387538909912,
0.745378315448761,
-0.3266666531562805,
0.136494457721710... |
Q: 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. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any externa... | where christoffer work? | 7 | NIv2 | task193_duorc_question_generation | zs_opt | [
-0.08510774374008179,
0.7663346529006958,
-0.7218600511550903,
-0.561585545539856,
0.1263088881969452,
0.9010248780250549,
0.9489253163337708,
0.6591306924819946,
0.5877230167388916,
-0.20416271686553955,
-0.07874943315982819,
0.4843984842300415,
-0.6787281632423401,
0.2156524360179901,
... |
Instructions: 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.
Input: Fortunately, some US lawmakers are takin... | Fort heureusement, un certain nombre de législateurs américains font preuve d’un intérêt prononcé pour cette approche. | 3 | NIv2 | task1371_newscomm_translation | zs_opt | [
-0.5439153909683228,
0.2473873496055603,
0.2542673349380493,
0.3444913625717163,
0.3320096731185913,
-0.30409759283065796,
0.47573792934417725,
0.4341176450252533,
0.7124560475349426,
0.14870978891849518,
-0.35579031705856323,
0.014125145971775055,
-0.2552920877933502,
-0.1582646667957306,... |
You will be given a definition of a task first, then some input of the task.
A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
ਹਿਮਾਚਲ ਪ੍ਰਦੇਸ਼ ਕੇਂਦਰੀ ਯੂਨੀਵਰਸਿਟੀ
Output: | సెంట్రల్ యూనివర్సిటీ ఆఫ్ హిమాచల్ ప్రదేశ్ | 1 | NIv2 | task1065_pib_translation_punjabi_telugu | zs_opt | [
-0.6909632682800293,
0.8516716957092285,
0.4976177215576172,
0.34560123085975647,
-0.20143157243728638,
-1.0865596532821655,
0.5010855197906494,
-0.0264930110424757,
-0.01000170037150383,
0.2384643852710724,
-0.4051152467727661,
-0.6539076566696167,
-0.14276906847953796,
0.4959761798381805... |
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