inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Definition: In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Input: [5, 2, 3, 4, 2, 2]
Output: | [5, 3, 4] | 2 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.23171010613441467,
0.14442762732505798,
-0.49860215187072754,
0.19354555010795593,
0.36723893880844116,
0.16847753524780273,
0.6732828617095947,
0.10179875791072845,
-0.47721344232559204,
0.2972095012664795,
-1.3231987953186035,
-0.2817477881908417,
0.06481196731328964,
-0.2785633206367... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
One example: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
Solution is here: Con el crecimiento, los países y las sociedades ingresa... | Es una función muy importante vinculada con el nanopatch. | 6 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.8846321105957031,
0.18465816974639893,
0.440437376499176,
0.05008045583963394,
-0.3711337447166443,
0.08767983317375183,
0.4252675771713257,
0.8461155295372009,
-0.6732850670814514,
-0.24584603309631348,
-0.8638110756874084,
0.3486484885215759,
-0.3167738914489746,
-0.14865556359291077,... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: In Korea guardavo molti lussuosi film della vita di Hollywood.
Student: | W Korei oglądałam Hollywoodzkie filmy, pokazujące luksusowy styl życia. | 6 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.5814288854598999,
0.8839386105537415,
-0.27526944875717163,
-0.9651342034339905,
-0.2171923816204071,
-0.3746304512023926,
-0.3229833245277405,
0.24060270190238953,
0.025794729590415955,
-0.6590885519981384,
0.33559650182724,
-0.23566091060638428,
-0.7246224284172058,
-0.293352991342544... |
Given the task definition, example input & output, solve the new input case.
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is uniq... | When were the powers of the municipalities of Mexico City first reduced? | 1 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
0.8045438528060913,
0.22512072324752808,
-0.006525500677525997,
0.2020568549633026,
0.7559176683425903,
-0.2824166417121887,
1.0064244270324707,
1.2175471782684326,
-0.03229442238807678,
-0.11476960778236389,
-0.005111021921038628,
-0.07895361632108688,
-0.4357340633869171,
-0.058781020343... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Era un canalla; era un héroe. | הוא היה נבל, הוא היה גיבור. | 0 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.1502598226070404,
0.7963848114013672,
-0.04423536732792854,
-0.1428963541984558,
-0.15177124738693237,
-0.0996859073638916,
0.5134611129760742,
0.5827064514160156,
0.18369902670383453,
-0.8934957981109619,
-0.3270384967327118,
-0.27028876543045044,
-0.6244484186172485,
-0.27993783354759... |
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].
Q: NEW ORLEANS, Louisiana (CNN) -- Fans of ... | Louisiana | 4 | NIv2 | task339_record_answer_generation | zs_opt | [
-0.31455594301223755,
-0.5942219495773315,
-0.875713586807251,
-0.08836399018764496,
0.12539398670196533,
0.3420276641845703,
0.6090585589408875,
0.9389488697052002,
-0.22645893692970276,
0.757750391960144,
0.5461305379867554,
0.7587713003158569,
-0.20046253502368927,
-0.2639714479446411,
... |
In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
[EX Q]: A terrible follow up to Sticker Graphics 1 . Don't get swindled by the packaging.... | POS
| 6 | NIv2 | task476_cls_english_books_classification | fs_opt | [
0.07103250175714493,
-0.6067724227905273,
-0.06319111585617065,
0.2507707178592682,
0.6728506088256836,
-0.5260373950004578,
1.0402789115905762,
0.639347493648529,
-0.1703256368637085,
0.573415219783783,
0.12535929679870605,
0.48785072565078735,
-0.46697866916656494,
-0.18520022928714752,
... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Q: The development of antimicrobial agents has been a key achievement of modern medicine. However, their overuse has led t... | Bacterial resistance: A sensitive issue Complexity of the challenge and containment strategy in Europe | 4 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.20270928740501404,
0.30526697635650635,
-0.42529231309890747,
-0.034779563546180725,
0.16552674770355225,
-0.4229336380958557,
0.22017019987106323,
0.4949117600917816,
0.035306788980960846,
0.38094884157180786,
-0.537287712097168,
0.8736637830734253,
-0.3600064814090729,
-0.2446497082710... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Isto é unha exploración dentro da realidade virtual.
Output: | واون یه مکاشفه در حقیقت مجازیه. | 1 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.9116608500480652,
0.7737667560577393,
0.04549955576658249,
-0.39872321486473083,
-0.6163941621780396,
0.44434428215026855,
1.0518178939819336,
0.36588603258132935,
0.21505600214004517,
0.1106015145778656,
-0.811404824256897,
0.057238541543483734,
-0.4119446873664856,
0.3269198536872864,... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | drafted by
| 6 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.25435131788253784,
-0.1579880565404892,
-0.502122163772583,
0.5071043968200684,
0.4847634434700012,
0.19332082569599152,
-0.12366778403520584,
0.6156965494155884,
0.0849773958325386,
0.09145212918519974,
-0.2717652916908264,
0.7904311418533325,
-0.9115180373191833,
-0.5816129446029663,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
[EX Q]: La domanda è: che tipo d'impatto avrà sulla nostra cultura, e cosa significherà per le donne?
[EX A]: Pytanie brzmi - jaki rodzaj wpływu będzie to miało na naszą kulturę i co to oznacza dla kobiet?
[EX Q]: Come Mak... | Nazywa się BLIS i zarówno zapobiega pojawianiu się patogenów, Nazywa się BLIS i zarówno zapobiega pojawianiu się patogenów, jak i zapewnia świeży oddech.
| 6 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-0.6319586634635925,
0.600616455078125,
-0.3781762719154358,
-0.11354997009038925,
0.3040045201778412,
-0.8080182671546936,
1.2934038639068604,
-0.19585171341896057,
0.02486899495124817,
-0.30109843611717224,
-1.085793137550354,
0.5199667811393738,
-1.0004370212554932,
0.39879679679870605,... |
Teacher: In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that ... | Yes | 2 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.7412353754043579,
-0.2622426450252533,
-0.33807897567749023,
0.1784302294254303,
-0.2676885724067688,
-0.4540124535560608,
0.29889994859695435,
0.45186305046081543,
-0.15837205946445465,
-0.40664586424827576,
-0.2731792628765106,
0.09323041886091232,
-0.048630356788635254,
-0.29378947615... |
Definition: 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.
Input: Question: What was the score of the game that... | 1 | 2 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.6346808075904846,
0.20978571474552155,
-1.5260754823684692,
0.1267017424106598,
0.4641912281513214,
0.12416525930166245,
0.5979909896850586,
0.4291473627090454,
0.06051935255527496,
0.3796633780002594,
-0.4245350956916809,
1.0276870727539062,
-0.36412501335144043,
0.20500920712947845,
... |
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... | c | 3 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.2159239798784256,
0.13005322217941284,
-0.7354833483695984,
0.37143808603286743,
-0.07253885269165039,
0.4338997006416321,
0.30502063035964966,
0.7651146054267883,
-0.12752074003219604,
0.2786382734775543,
-0.6187206506729126,
0.03330698236823082,
-0.9482378959655762,
-0.3057495355606079... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
thats mad wack , b . | اين مسخره اس ، بي . | 0 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
0.31933292746543884,
1.1642212867736816,
-0.24209964275360107,
-0.6623387336730957,
-0.5538075566291809,
0.7960090637207031,
0.9476097226142883,
0.8108129501342773,
0.3398098945617676,
0.008880221284925938,
-0.6365623474121094,
-0.004081855062395334,
-0.12865102291107178,
-0.38629207015037... |
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an u... | Iran. | 6 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.15388348698616028,
0.4469943046569824,
-0.0012893034145236015,
-0.3224523365497589,
-0.4353785812854767,
-0.8338513970375061,
0.20102933049201965,
1.2911335229873657,
-0.29799073934555054,
0.30462801456451416,
-0.710850715637207,
0.1981835961341858,
-1.0660455226898193,
0.206735089421272... |
Detailed Instructions: Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Q: Question: Do aurkA inhibitors enhance the effects... | yes | 9 | NIv2 | task846_pubmedqa_classification | zs_opt | [
0.17473314702510834,
-0.23455512523651123,
-0.04420336335897446,
-0.6461347341537476,
-0.2372320294380188,
-0.47121262550354004,
-0.08920995891094208,
1.505061388015747,
0.3081921637058258,
0.2120632529258728,
-0.7113621234893799,
0.4581403136253357,
-0.532900333404541,
0.34713637828826904... |
In this task, you need to reverse 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.
Example Input: Sentence: 'a man is standing on a sidewalk with his bike'. Reverse all words of length '3' in the given sentence.
Example... | a man si playing tennis no a gray court
| 3 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
0.06782536208629608,
0.37020343542099,
0.12607498466968536,
-0.7052305936813354,
-0.2613201141357422,
-0.28342217206954956,
0.031832121312618256,
0.7216881513595581,
0.03257745876908302,
-0.38774725794792175,
-1.5366843938827515,
0.10854296386241913,
-0.8430900573730469,
-0.257065325975418... |
Part 1. Definition
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.... | Yes | 7 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.5881488919258118,
0.21466077864170074,
-0.043858058750629425,
-0.07455426454544067,
-0.5572463870048523,
-0.7251045107841492,
1.011630892753601,
0.27591264247894287,
-0.44354119896888733,
-0.5212809443473816,
-0.5402865409851074,
-0.43741345405578613,
-0.7369899153709412,
0.0844282954931... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | green_crate | 6 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.2724853754043579,
-0.4557696282863617,
0.027892429381608963,
0.1933424025774002,
-0.2021438479423523,
-0.7143763899803162,
0.32994383573532104,
0.45090651512145996,
-0.10717993974685669,
0.2676698565483093,
0.37921667098999023,
0.26293936371803284,
-0.2846131920814514,
0.3314900398254394... |
You will be given a definition of a task first, then some input of the task.
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.
The Program is breeding suicide. "
Output: | Singular | 1 | NIv2 | task430_senteval_subject_count | zs_opt | [
-1.3418054580688477,
0.6706922054290771,
0.09058012813329697,
-0.5972775220870972,
-0.5755902528762817,
-0.12978148460388184,
0.904761791229248,
0.4458587169647217,
-0.17794188857078552,
-0.02698434516787529,
-0.9210035800933838,
-0.19247078895568848,
-0.6586804389953613,
0.076247781515121... |
Teacher:You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Teacher: Now, understand the ... | distant | 6 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.2477797269821167,
0.8074074983596802,
-0.22204044461250305,
-0.8723335266113281,
-0.6831622123718262,
-1.0658340454101562,
0.26217514276504517,
-0.11357283592224121,
-0.4305039644241333,
-0.045350879430770874,
-0.5246285200119019,
0.10175663232803345,
-0.7449430227279663,
-0.04136949777... |
Detailed Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each ci... | (E) | 9 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.2545945346355438,
0.5879467725753784,
-0.4531435966491699,
0.5528150200843811,
0.4134199023246765,
-0.6974477767944336,
0.08847375959157944,
1.3365812301635742,
-0.3603542447090149,
-0.16452153027057648,
-0.30061256885528564,
0.40820688009262085,
-0.47629302740097046,
0.09475789964199066... |
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 sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label... | No | 0 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.7061290740966797,
0.004401303827762604,
-0.14762675762176514,
0.17618778347969055,
0.12584680318832397,
-0.3009551465511322,
0.33401238918304443,
0.7679628133773804,
-0.7411829233169556,
-0.4354497790336609,
0.15660998225212097,
0.8539976477622986,
-0.1728745996952057,
0.886539101600647... |
Given the task definition and input, reply with output. In this task, you are given a country name and you need to return the continent to which the country belongs.
Angola
| Africa | 5 | NIv2 | task1321_country_continent | zs_opt | [
-0.07122141867876053,
1.1829956769943237,
-0.3876644968986511,
0.09154662489891052,
-0.7200907468795776,
0.04810280352830887,
0.2735404670238495,
-0.10015213489532471,
-0.9148951768875122,
-0.04564153030514717,
-0.8156543970108032,
-0.2477819323539734,
0.09812301397323608,
0.55278623104095... |
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... | before making toast | 6 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
1.1038832664489746,
0.7320363521575928,
-0.18542975187301636,
0.5114884376525879,
-0.29079729318618774,
0.08762519061565399,
0.8684555888175964,
1.3292944431304932,
-0.07086604833602905,
-0.263496071100235,
-0.4643503725528717,
-0.40657907724380493,
-0.32472753524780273,
-0.037037983536720... |
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". ... | Solution: Yes | 5 | NIv2 | task496_semeval_answer_generation | fs_opt | [
-0.49437350034713745,
0.22529399394989014,
0.659517228603363,
0.002135287504643202,
-0.23785534501075745,
-0.8673678636550903,
-0.25693750381469727,
0.8315229415893555,
-0.06480305641889572,
-0.14012357592582703,
-0.29346761107444763,
-0.0769098550081253,
-0.9707620143890381,
0.26147103309... |
Instructions: In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Input: Sentence:... | Female | 3 | NIv2 | task340_winomt_classification_gender_pro | zs_opt | [
-1.0759148597717285,
0.8586876392364502,
-0.29645833373069763,
-0.8942056894302368,
0.0518757700920105,
-0.3715677261352539,
-0.45042985677719116,
0.8166583776473999,
0.9716581106185913,
0.30347004532814026,
-1.3010058403015137,
-0.2833253741264343,
-1.0500454902648926,
-0.2604178190231323... |
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
One example: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The p... | True | 6 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
-0.300165593624115,
-0.8123923540115356,
0.33712586760520935,
0.049269191920757294,
0.05841450393199921,
-0.1535978615283966,
0.9641592502593994,
0.5558191537857056,
0.20287351310253143,
0.17289122939109802,
-0.25833672285079956,
0.10858623683452606,
-0.48370078206062317,
-0.53453040122985... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
اما شاید دلیل واقعی این است که ما از روشهای فکری بحد کافی قدرتمند درباره داروها برخوردار نیستیم.
Output: | しかし本当の理由は医薬についての考え方がまだ十分に強力ではないからです | 1 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.5728734731674194,
-0.04124067723751068,
-0.0004567595315165818,
-0.410075843334198,
-0.3818986415863037,
-0.09663897007703781,
0.7709276676177979,
0.1686718463897705,
0.8009718656539917,
-0.37150755524635315,
-0.5789233446121216,
0.30068546533584595,
-0.4052066504955292,
0.3780653178691... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Q: I don't have that information, but can tell you that Slovenia joined the European Union on May 1, 2004.
Is there any information I ... | During the 14th century, the Habsburgs from a Hungarian clan, took over present day Slovenia causing a disconnection to their Slovak kinsmens. | 4 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
0.13891644775867462,
1.9550226926803589,
-0.5230412483215332,
0.3260982632637024,
-0.486102819442749,
-0.09249072521924973,
1.436280608177185,
-0.04410536587238312,
0.5491447448730469,
-0.0015565044013783336,
0.4833950996398926,
0.7645391225814819,
-0.1805838942527771,
-0.06992094218730927... |
Given the task definition and input, reply with output. You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
I've eaten other brands of unsalted potato chips and they've always been terrible. I didn't expect much ... | Positive | 5 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
0.10070561617612839,
-0.15686514973640442,
0.5958640575408936,
-0.08779153227806091,
0.10983965545892715,
-0.02465587854385376,
0.8153490424156189,
0.6479762196540833,
-0.16474588215351105,
0.6362310647964478,
-0.016865193843841553,
0.5406357645988464,
-0.4822760224342346,
-0.7450799942016... |
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 simplicity, answers should be in all lower cased letters.
Problem:Category: THE AMERICAN REVOLUTION
Clue: The British surrender a... | saratoga | 8 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
0.1420152187347412,
0.6473348736763,
-0.09230202436447144,
-0.38987433910369873,
0.05011618882417679,
-0.5207967758178711,
1.016420602798462,
0.18734408915042877,
1.0251573324203491,
0.20224012434482574,
-0.475719153881073,
-0.17375478148460388,
-0.5412522554397583,
0.12138883769512177,
... |
Given the task definition and input, reply with output. In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Question: What is greatest source of hazardous waste? Answer: indust... | Industry is the greatest source of hazardous waste. | 5 | NIv2 | task1556_scitail_passage_generation | zs_opt | [
0.09498115628957748,
1.0224103927612305,
0.08064913749694824,
-0.3580387830734253,
-0.39344680309295654,
-0.15089893341064453,
-0.5586952567100525,
0.7291171550750732,
-0.30281224846839905,
-0.27360865473747253,
-0.9727383852005005,
0.21887430548667908,
0.03718645125627518,
-0.393902063369... |
instruction:
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 ... | Gary
| 9 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.352936714887619,
0.8152259588241577,
-0.28188377618789673,
-0.006978179793804884,
0.08134204149246216,
-0.5393080711364746,
1.072237253189087,
0.7872172594070435,
-0.2809200584888458,
-0.0358576625585556,
-0.25807812809944153,
0.16565462946891785,
-0.6478753685951233,
0.38431623578071594... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Ex Input:
A man and woman are standing on a skating rink. They
Ex Output:
start performing using jump ropes.
Ex Input:
Someone shifts her shocked gaze. She
Ex Output:
reaches the... | can be heard over the din of their voices.
| 1 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.26518088579177856,
0.7792727947235107,
-0.6696935892105103,
0.3584001064300537,
0.3403647840023041,
-0.00012267247075214982,
-0.08052775263786316,
0.2955017685890198,
1.0136150121688843,
-0.2200886309146881,
0.1613224446773529,
0.23175880312919617,
-0.5271915197372437,
-0.615801036357879... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Q: אבל אנחנו מוצאים את היזמים האלה ששמים את האנשים ואת כדור הארץ לפני רווחים.
A: | But we find those entrepreneurs who put people and the planet before profit. | 4 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.6916617751121521,
0.48366600275039673,
0.2766798734664917,
-0.028970450162887573,
-0.4619244337081909,
0.29825878143310547,
0.3861593008041382,
-0.27971482276916504,
0.8824737071990967,
-0.6110336780548096,
-0.7472009658813477,
-0.007732142228633165,
-0.5505679845809937,
-0.123940184712... |
Instructions: 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.
Input: علی بن ابیطالب (به عربی: عَلِيّ ٱبْن أَبِي طَالِب؛ زادهٔ ۱۳ رجب ۳۰ عامالفیل برابر با ۲۳ قبل از هجرت (۱۳ سپتامبر ۶۰۱ میلادی) – درگذشتهٔ ۲۱ رم... | ۱۳ سپتامبر ۶۰۱ میلادی | 3 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
0.8881638646125793,
0.7732110619544983,
-0.4515383243560791,
0.09790881723165512,
-0.2643340528011322,
-1.3074243068695068,
0.6301546096801758,
0.9944219589233398,
0.233918696641922,
0.06653507053852081,
-0.3050840198993683,
1.30711030960083,
-0.8552651405334473,
0.008911063894629478,
-0... |
Teacher: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick th... | b | 2 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.3144162893295288,
-0.17032739520072937,
-0.051023829728364944,
0.18996967375278473,
-0.0055970195680856705,
-0.23747673630714417,
0.2165633738040924,
1.2028238773345947,
0.12099288403987885,
0.6096512079238892,
-0.7487828731536865,
0.09728442877531052,
-0.1075570359826088,
-0.25338506698... |
Teacher: You are given a sentence in English. Your job is to translate the English sentence into Persian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
In the southwestern part of Nigeria, the plant is known as Gbe'borun.
Solution: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe... | خُب ما درباره منابع طبیعی در کشورها صحبت می کنیم ، که از طریق مدارک شرکت ها وسایر اطلاعات تلاش می کنیم تا همه تکه هاى واقعه را در کنار هم قرار داده تا تصویر کاملاً حقیقی از این معاملات را نشان دهیم. | 2 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.6292858123779297,
0.011855295859277248,
0.23009496927261353,
-0.43668216466903687,
-0.07157912105321884,
-0.7305393218994141,
1.0148451328277588,
0.1797838807106018,
-0.09387967735528946,
0.3084432780742645,
-0.9754563570022583,
-0.0833975300192833,
-1.0198172330856323,
0.35637941956520... |
Teacher: In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Preheat oven to 375 degrees., Boil s... | cauliflower, white onion, lemon thyme, milk, Kosher salt, Extra-virgin olive oil, Brussels, fresh chives, pepper, apple, olive oil | 2 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.07361339032649994,
0.5485262274742126,
-0.5321424007415771,
0.39438533782958984,
-0.33123114705085754,
0.058053139597177505,
0.8410125970840454,
0.692158579826355,
-0.2189805656671524,
-0.10146518796682358,
0.49001044034957886,
0.04295172542333603,
-0.16858556866645813,
0.194425821304321... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Input: Consider Input: Teriamos que aprender a temer infeccións que agora semellan menores.
Output: 私たちは現在些細なものと考えている感染症に注意するようにしなければなりません
Input: Consider Input: (Aplausos) Bruno Giussani: Grazas, graciñas.
Output: ... | Output: つまりそれは遺伝的な改良です
| 2 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-1.1574254035949707,
0.8920034170150757,
-0.22761577367782593,
-0.1850849688053131,
-0.29189538955688477,
-0.42771798372268677,
0.3023349344730377,
-0.3183203935623169,
0.009626835584640503,
-0.4001525044441223,
-0.892555296421051,
0.8194882869720459,
-0.7233853340148926,
-0.02801262028515... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
One example is below.
Q: A mosquito stings me
I stin... | first | 9 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
-0.03863971680402756,
0.40733516216278076,
0.03879827633500099,
-0.39577800035476685,
-0.03517850488424301,
-0.8230765461921692,
0.25562721490859985,
0.47593018412590027,
0.1707344949245453,
0.07853284478187561,
-0.5470269918441772,
-0.7202984094619751,
-0.7084665894508362,
-0.520543575286... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
--------
Question: Category: aesthetic characteristic
Words: cool, trustworthy, milky, fair, well
Answer: trustworthy
Question: ... | clime
| 7 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
-0.15403546392917633,
0.5715501308441162,
0.3583222031593323,
-0.33699536323547363,
0.11481133103370667,
-0.20602786540985107,
-0.4768752455711365,
0.04634292796254158,
-0.24446649849414825,
-0.1824004352092743,
-0.26751816272735596,
-0.04816148057579994,
-0.6524242162704468,
-0.1068767234... |
Detailed Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
See one example below:
Problem: The severe acute respiratory syndrome (SARS) epidemic originating f... | Genome-wide analysis of codon usage bias in four sequenced cotton species | 4 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.5434143543243408,
0.27909839153289795,
-0.7285888195037842,
0.1967674046754837,
0.6786419153213501,
-0.11799732595682144,
0.570144534111023,
0.8866056203842163,
-0.24303138256072998,
0.9947368502616882,
-0.2934025824069977,
0.9968975782394409,
-0.11989516764879227,
0.5059009790420532,
... |
Definition: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supp... | digital ebook purchase | 2 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.00450084637850523,
-0.41549357771873474,
-0.1834968626499176,
-0.4523175358772278,
0.21310526132583618,
0.026797764003276825,
0.5960679054260254,
0.4796817898750305,
-0.34422868490219116,
0.3444737493991852,
-0.2022114247083664,
-0.41753411293029785,
-0.7517702579498291,
-0.636189520359... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Let me give you an example: Preheat oven to 375 degrees., Boil syrup, sugar and shortening over medium heat, stirring constantly., Remov... | eating apples, sugar, butter, cream, flour, butter, range medium | 8 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.45061635971069336,
0.47172993421554565,
-0.43778538703918457,
0.32258370518684387,
0.09764537215232849,
0.21142029762268066,
0.7266685962677002,
0.9110842943191528,
-0.15963426232337952,
0.35515880584716797,
-0.07758796215057373,
-0.11607439815998077,
-0.13322703540325165,
0.084759473800... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Let me give you an example: Sentence1:i need a place to dine in the center thats expensive Sentence2: I have several options for you; do you prefer African, Asian, or British food? Sentence... | Answer: (B) System | 8 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.832018256187439,
0.6557157635688782,
-0.624785840511322,
-0.20216286182403564,
0.12061582505702972,
-0.2549701929092407,
0.3975539207458496,
0.9189282059669495,
-0.15631785988807678,
-0.32529693841934204,
-0.20796695351600647,
-0.03522714227437973,
-0.700893759727478,
0.20497766137123108... |
Definition: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research... | background | 2 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.4475094676017761,
0.20033946633338928,
-0.016324253752827644,
-0.7790656089782715,
0.20221534371376038,
0.23519620299339294,
0.8566921949386597,
-0.15191808342933655,
0.34974905848503113,
-0.31225648522377014,
-1.2997918128967285,
-0.5395559072494507,
0.14737772941589355,
-0.20329755544... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Input: そしてグローバルな倫理を推進するあなたの取り組みに声援を送る人々も数多くいるでしょう
Output: | And there are certainly many people in the audience who will be cheering you on as you seek to advance this global ethic. | 3 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.9001026153564453,
0.280956506729126,
0.4112846255302429,
-0.1241588294506073,
-0.3988126516342163,
-1.2225687503814697,
-0.9922330379486084,
-0.7123173475265503,
0.20409661531448364,
-0.39459604024887085,
-0.2469843626022339,
-0.06432023644447327,
-0.05486408993601799,
0.045786336064338... |
TASK DEFINITION: This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE,... | ¿Cuál es el nombre por el que se conoce a la Ruta Nacional 1?
| 8 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.7141015529632568,
0.24072091281414032,
-0.6456577777862549,
0.6488934755325317,
0.27778029441833496,
0.1824561059474945,
1.0413120985031128,
1.3637607097625732,
-0.0903150737285614,
0.05325821042060852,
-0.36002427339553833,
0.2975319027900696,
0.12767578661441803,
0.0347461961209774,
... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
One example: Lucifer how many episodes are in season 3?
Solution is here: How many episodes o... | When is harry potter and cursed child preview at Palace Theatre, London coming out? | 6 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
0.052653148770332336,
0.5898524522781372,
0.05174341797828674,
-0.4347846806049347,
-0.15549345314502716,
-0.11171220242977142,
0.11086665093898773,
-0.4836125075817108,
-0.49140968918800354,
-0.5233723521232605,
-0.17884162068367004,
0.745786190032959,
-1.1116700172424316,
0.0201817229390... |
Given the task definition and input, reply with output. 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 find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string.... | 7381zN | 5 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.18930493295192719,
0.3812987506389618,
-0.1870090663433075,
-0.2144385576248169,
0.3099709153175354,
0.15109819173812866,
0.2125343382358551,
-0.23997098207473755,
-0.20839688181877136,
0.007889419794082642,
-1.169770359992981,
-0.1329895257949829,
-0.14810076355934143,
-0.4931500554084... |
Q: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Jamie Rellis (Mila Kunis) is an executive recruiter for a leading job agency in New York City, and Dylan Harper (Ju... | Answer: Surprised and happy | 7 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.18396879732608795,
0.44290032982826233,
-0.6298942565917969,
-0.4116877317428589,
0.28365445137023926,
-0.09075938165187836,
0.6659060716629028,
0.5760648250579834,
-0.11678308993577957,
0.3327767252922058,
-0.013095719739794731,
0.47871601581573486,
-0.5492146015167236,
0.39720350503921... |
Part 1. Definition
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Part 2. Example
Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Answer: 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
Explanation: The Italian sent... | アイコンを作っているときは自分がアイコンマスターになった気分でした「オレはできるんだ」ってな感じで | 7 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
0.004608443472534418,
0.18927882611751556,
-0.26030710339546204,
-0.5013877153396606,
-0.013607075437903404,
-0.6313729286193848,
0.6072631478309631,
0.6573319435119629,
0.3448907732963562,
-0.3402169942855835,
-0.5294467210769653,
0.4194861948490143,
-0.32095348834991455,
-0.1299405992031... |
Detailed Instructions: In this task, you will be given text in English. You need to translate the text into the Sinhali language.
Q: The terminology is extended to sets (set point), matches (match point), and even championships (Championship point).
A: | වචන මාලාව කට්ටල (කට්ටල ලකුණු), තරඟ (තරඟ ලකුණු) සහ ශූරතා පවා වන ලෙසට දීර්ඝ කර ඇත. | 9 | NIv2 | task604_flores_translation_entosn | zs_opt | [
0.3225659728050232,
0.27064594626426697,
-0.13017824292182922,
-0.2917851209640503,
-0.016224779188632965,
-1.3336526155471802,
0.28732872009277344,
-0.09496818482875824,
0.23116543889045715,
-0.9809202551841736,
-0.5288049578666687,
0.3424367308616638,
-0.387530118227005,
0.23613601922988... |
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
M: Where were you today? I searched for you everywhere. I thought we could study together for tomorrow's ... | (A) She seldom goes to the countryside. | 0 | NIv2 | task247_dream_answer_generation | zs_opt | [
-0.05126605182886124,
0.4655022621154785,
-0.3717052638530731,
-0.6254207491874695,
-0.01619109697639942,
-0.33958885073661804,
0.49965569376945496,
0.31927475333213806,
0.47327154874801636,
-0.5205502510070801,
-0.9743942022323608,
-0.1341387927532196,
0.06743292510509491,
-0.057064816355... |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | इंजन साफ करना कार धोने का एक हिस्सा होना चाहिए । | 4 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.4151398241519928,
1.0862348079681396,
-0.5595613121986389,
-0.11289562284946442,
-0.259636789560318,
-0.9384697675704956,
0.368937611579895,
0.5202541947364807,
-0.7829287648200989,
-0.22775036096572876,
-0.5590038299560547,
0.20761068165302277,
-0.3249944746494293,
0.030607523396611214... |
Given the task definition, example input & output, solve the new input case.
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 ... | jump thrice after run opposite right thrice | 1 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.10567976534366608,
0.5126352906227112,
-0.4418182671070099,
0.4293099045753479,
0.052863769233226776,
0.16170498728752136,
0.2850303649902344,
0.8907437920570374,
-0.36419421434402466,
0.0026541482657194138,
-0.9248619079589844,
-0.36644136905670166,
-0.5287563800811768,
-0.3035036027431... |
TASK DEFINITION: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
PROBLEM: Passage: In 1670, Charles II incorporated by royal char... | Judy.
| 8 | NIv2 | task002_quoref_answer_generation | fs_opt | [
1.014026403427124,
0.5767899751663208,
-0.3451342284679413,
-0.5818438529968262,
0.6842211484909058,
0.05061670392751694,
0.7302509546279907,
0.8320656418800354,
0.15699416399002075,
0.23711931705474854,
0.1678294539451599,
0.3484509289264679,
-0.5017309188842773,
0.09239126741886139,
-0... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Example Input: Article: Goodwill welcomes the proven talent of retired soldiers and military family members to its workforce. As Goodwill expands its social enterprise and life-changing... | What's the best title of this passage?
| 3 | NIv2 | task311_race_question_generation | fs_opt | [
-0.09518720209598541,
0.4128563106060028,
-0.33665338158607483,
-0.3935348093509674,
0.76604825258255,
0.2877321243286133,
1.0334621667861938,
0.9991339445114136,
-0.18997538089752197,
0.16521811485290527,
-0.0954335629940033,
0.8155907392501831,
-0.40045738220214844,
0.3665786385536194,
... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | Y | 0 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.1187125444412231,
0.48693111538887024,
0.19154584407806396,
-0.625481128692627,
-0.08752638101577759,
0.3617993891239166,
0.39222967624664307,
0.8708101511001587,
0.16886165738105774,
-0.11130090802907944,
-0.506901204586029,
0.053228676319122314,
-0.8439542055130005,
-0.391815572977066... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 14235 | 0 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.16047245264053345,
0.652772843837738,
-0.5447902679443359,
-0.4646204113960266,
-0.7851840257644653,
-0.16470855474472046,
0.3901482820510864,
0.33193132281303406,
-0.008074839599430561,
0.22455035150051117,
-1.0876505374908447,
-0.4327123761177063,
-0.7404249310493469,
0.05910591036081... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
[Q]: Resource requirements: subprogramme 1 - advocacy, awareness-raising and education
[A]: ألف - البرنامج الفرعي 1: الدعوة، وإذكاء الوعي والتثقيف
[Q]: So, it will have no impact...
[A]: إذًا، لن يتتبّع أيّ تأثيرا... | أحضري لي حلويات سنيكرز
| 5 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
-0.21331290900707245,
0.374717652797699,
0.0177144892513752,
-0.7787687182426453,
-1.1138570308685303,
-0.669013500213623,
0.9659466743469238,
0.4060828983783722,
0.2546853721141815,
-0.4475434422492981,
0.011820558458566666,
0.287040114402771,
-1.1304066181182861,
-0.1800178736448288,
1... |
Detailed Instructions: 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 w... | Javier <B-PER> Frana <I-PER> ( Argentina <B-LOC> ) vs. 3 - Thomas <B-PER> Muster <I-PER> ( Austria <B-LOC> ) | 9 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.344127357006073,
0.04195468872785568,
-0.3313504755496979,
0.006370287388563156,
-0.11015897244215012,
0.14413978159427643,
0.9519107341766357,
0.574317216873169,
0.08384878933429718,
-0.10071241855621338,
-0.39959168434143066,
0.4605255722999573,
-0.2953711152076721,
0.0156415924429893... |
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Example: And the sun runs his course for a period determined for him: that is the decree of (Him), the Exalted in Might, the All-Knowing.
Example solution: و خورشید [نیز برای آنان نشانهای از قدرت ماست] که ه... | Solution: در آن [وزر و وبال،] جاودانهاند و چه بد باری روز قیامت برای آنان خواهد بود. | 5 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
-0.32513606548309326,
1.2352616786956787,
-0.05112496763467789,
-0.8643457889556885,
-0.6521345376968384,
-1.2041559219360352,
0.9880155324935913,
0.5187209844589233,
0.05237100273370743,
0.0762876570224762,
-0.6255117654800415,
0.5878641605377197,
-0.3404008746147156,
0.3614691495895386,
... |
Instructions: 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 probabili... | Je kunt de teksten van een liedje afluisteren of lezen. | 3 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.512489378452301,
1.2691211700439453,
-0.3691582679748535,
-0.11982205510139465,
-0.20493924617767334,
-0.524146556854248,
0.27969977259635925,
0.444161057472229,
0.5300039052963257,
-0.7411527037620544,
-0.8253986835479736,
0.2872922420501709,
-0.8856614828109741,
0.3083566427230835,
... |
Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Input: ['C', '6677', 'p', '209', 'J', 'x']
Output: | 6677, 209 | 3 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
-0.11325891315937042,
0.8269438147544861,
-1.1974737644195557,
-0.343066930770874,
-0.42489558458328247,
0.32763904333114624,
1.00486159324646,
-0.15666858851909637,
-0.09083196520805359,
0.03428175300359726,
-0.28663456439971924,
-0.519080638885498,
-0.27849119901657104,
-0.16267678141593... |
Q: Given a statement, generate a question such that the answer is contained in that statement.
A chain wrapped around a wheel is used for lifting blocks.
A: | What is a chain wrapped around a wheel used for? | 7 | NIv2 | task1580_eqasc-perturbed_question_generation | zs_opt | [
0.8937983512878418,
1.2486917972564697,
-0.6230458617210388,
0.6788171529769897,
-0.33266812562942505,
-1.0051424503326416,
-0.444184809923172,
1.4734156131744385,
0.17305055260658264,
0.013664987869560719,
-0.5697688460350037,
0.29142966866493225,
-0.6364754438400269,
0.6173925399780273,
... |
instruction:
Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a good clarifying question to understand the ... | are you interested in the history of the last supper painting
| 9 | NIv2 | task166_clariq_sentence_generation | fs_opt | [
-1.103642463684082,
0.28499025106430054,
-0.527769923210144,
-0.17767846584320068,
-0.7669961452484131,
0.05870800092816353,
1.0035388469696045,
-0.010204490274190903,
-0.09881027042865753,
-0.011593112722039223,
-0.06880392134189606,
-0.7958825826644897,
-0.13079403340816498,
0.0081274705... |
instruction:
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that ... | Does inhibition of late sodium current attenuate ionic arrhythmia mechanism in ventricular myocytes expressing LaminA-N195K mutation?
| 9 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.4241505265235901,
-0.12129795551300049,
-0.6022077798843384,
0.42438703775405884,
0.46646848320961,
-0.5562930703163147,
1.2771823406219482,
1.1447391510009766,
0.15792541205883026,
0.29592856764793396,
-0.5371311902999878,
0.16401968896389008,
-0.6348882913589478,
0.5643641948699951,
... |
Teacher:You are given a statement written in Tamil. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? Solve this instance: Statement: றுப்உல் காலீ அல்லது காலிக் கால் (الربع... | பாலைவனங்களுள் | 6 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.5854663252830505,
0.808451771736145,
-0.33440983295440674,
0.1937471330165863,
0.08143733441829681,
-0.6835196018218994,
-0.5088213086128235,
-0.004862310830503702,
-0.6159492135047913,
0.37073105573654175,
-0.30266106128692627,
0.3699072301387787,
-0.5429073572158813,
-0.473139405250549... |
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 ... | Solution: walk and look opposite left thrice | 5 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.40234971046447754,
0.552480936050415,
-0.459638774394989,
0.15520133078098297,
-0.005802389234304428,
0.3311630189418793,
0.00700860470533371,
0.8552818298339844,
-0.43950948119163513,
-0.13256582617759705,
-0.6552130579948425,
-0.6278381943702698,
-0.7597936391830444,
-0.147985279560089... |
Definition: In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Input: Post: She’s not only a bit... | Individual | 2 | NIv2 | task337_hateeval_classification_individual_en | zs_opt | [
-1.052541971206665,
0.22815722227096558,
0.6932400465011597,
0.17497582733631134,
0.11882785707712173,
-0.7102946043014526,
0.4302313029766083,
-0.09443967044353485,
-0.034251611679792404,
0.35514432191848755,
-0.4166417121887207,
0.3391585052013397,
-0.0349138043820858,
-0.513635337352752... |
In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement.
Example input: Fact: deep sea animals live deep in the ocean. Question: Frilled sharks and angler fish live far b... | help users know if they need to drop some lbs. | 3 | NIv2 | task1399_obqa_answer_generation | fs_opt | [
-0.01913350448012352,
0.019782904535531998,
-1.228234887123108,
-0.47864508628845215,
-0.20506992936134338,
-0.45359110832214355,
0.48558902740478516,
-0.19543123245239258,
-0.3819270730018616,
-0.1338728964328766,
-0.22493863105773926,
0.6139402985572815,
-1.2980551719665527,
0.4786616563... |
A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
Example input: ഇന്ന് ഒരു വിദൂരസ്ഥ ഗ്രാമത്തിലെ പാവപ്പെട്ട പൗരന് തന്റെ അവകാശങ്ങള് നേടുന്നതിനായി ദീര്ഘദൂരം യാത്ര ചെയ്യേണ്ടതായോ ഇടനിലക്കാര്ക്ക് കൈക്കൂലി... | نئی دہلی،24مئی،بھوٹان کے بادشاہ عزت مآب جگمے کھیسر نامگیال وانگ چُک نے 23 مئی 2019 کو وزیراعظم نریندر مودی کو ٹیلی فون کیا اور بھارت کی 17 ویں لوک سبھا کے انتخابات میں ان کی جیت پر مبارک باد دی۔ | 3 | NIv2 | task1059_pib_translation_malayalam_urdu | fs_opt | [
-0.8202565908432007,
0.515332043170929,
0.05406039208173752,
-0.8245720267295837,
0.34665796160697937,
-0.81632399559021,
0.25581300258636475,
-0.02352513186633587,
-0.98590087890625,
-0.47716838121414185,
-0.5255915522575378,
0.34940388798713684,
-0.1025356650352478,
-0.4003516435623169,
... |
Teacher:In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always h... | bS | 6 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.26043468713760376,
0.46577680110931396,
-0.36071252822875977,
-0.5177366733551025,
-0.19704976677894592,
-0.24147479236125946,
0.08085626363754272,
0.26425349712371826,
-0.10665285587310791,
0.40801090002059937,
-0.5799354910850525,
0.07533201575279236,
0.38850104808807373,
-0.254979550... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
It means it gets filled with hot air.
זה אומר שהוא מתמלא אויר חם.
Actually, two out of three people in the world don't have good Internet access now.
למעשה, לשניים מתוך שלושה אנשים בעולם אין גישה טובה לאינטרנט עכשיו.
But ... | אבל יש איזה אירוע שטומן בחובו חורבן, ראוי לשלם בגינו איזו פרמיה משמעותית כדי להתגונן בפניו, לא-סביר ככל שיהיה, בדיוק כמו ביטוח השריפות שאנו עושים על הבית שלנו.
| 0 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
-0.4698528051376343,
1.1840145587921143,
-0.013771643862128258,
-0.17372043430805206,
-0.4367716312408447,
-0.5832450985908508,
0.5558598041534424,
0.45808839797973633,
0.43008267879486084,
-0.11140450835227966,
-0.347197949886322,
0.46291816234588623,
-1.0707178115844727,
-0.5714449882507... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Examp... | Spanish | 1 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
-0.05023184418678284,
0.9483005404472351,
0.612479567527771,
-0.03521106019616127,
0.07638853788375854,
-0.19096685945987701,
0.4233305752277374,
0.9614666700363159,
0.763468861579895,
-0.2184874713420868,
0.3987698256969452,
0.3079405128955841,
-0.04143510386347771,
-0.35790112614631653,
... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | He was too enveloped in his success to check the noise behind him.
| 0 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.9865072965621948,
0.6352921724319458,
0.026168212294578552,
-0.27606528997421265,
-0.028039880096912384,
0.04107996076345444,
-0.05648735165596008,
0.5220509767532349,
-0.06504799425601959,
-0.1927928477525711,
0.16609293222427368,
-0.036940619349479675,
-0.7814531326293945,
-0.25947651... |
Detailed 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 ev... | Yes | 8 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.4866621196269989,
0.3453142046928406,
0.17179983854293823,
-0.31235724687576294,
-0.38467663526535034,
-0.9953420758247375,
1.526399850845337,
0.1874353438615799,
-0.3084415793418884,
-0.6097280979156494,
-0.4677935540676117,
-0.41109880805015564,
-1.0383480787277222,
0.49320706725120544... |
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.
--------
Question: 6, ['3827', 'C', '351', '6135', 'z', 'y', '6671', '9481', 'S', '4171', 'q', 'o', '7017', '3543', ... | o, 3445
| 7 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
0.2207375317811966,
0.004138203803449869,
-0.4066634178161621,
-0.4969741106033325,
-0.3568628430366516,
-0.4705488681793213,
0.9670861959457397,
0.3524456024169922,
-0.6159998178482056,
-0.20246222615242004,
-0.8830503821372986,
-0.06639518588781357,
-0.1764673888683319,
0.166959598660469... |
Teacher:This task is about translating a given English language sentence to Spanish.
Teacher: Now, understand the problem? Solve this instance: And I don't even mean, like, because of the toes and everything.
Student: | lo cual es un crimen, porque son realmente hermosas. | 6 | NIv2 | task1691_qed_amara_translation | zs_opt | [
0.540391206741333,
0.7416232824325562,
0.5319604277610779,
-0.14312608540058136,
-0.22445406019687653,
-0.5547682642936707,
-0.7779432535171509,
0.9000810980796814,
-0.3287696838378906,
-1.1957595348358154,
0.7107886075973511,
0.5677124261856079,
-0.5210638046264648,
-0.568388819694519,
... |
Teacher:You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? Solve this instance: Statement: येथे असलेल्या लेखात सातवाहन सम्राज्ञ... | सातवाहन | 6 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
0.9556465744972229,
0.8122148513793945,
0.03509380668401718,
-0.1392594575881958,
0.04475044831633568,
-0.1321524977684021,
-0.03322792053222656,
1.7060346603393555,
0.34359845519065857,
-0.3499150276184082,
0.3479059338569641,
-0.262207567691803,
-0.48133569955825806,
-0.8762431740760803,... |
Definition: You are given a list of integers and an integer target, return a list of a pair of numbers in any order such that they add up to target. If there is no such pair of numbers, then return an empty list
Input: [29, 45, 46, 47, 44, 4, 21, 34, 13, 42, 5, 10, 12, 27, 11, 16, 23, 43, 33, 1], target=17
Output: | [4, 13] | 2 | NIv2 | task1087_two_number_sum | zs_opt | [
-0.22042331099510193,
-0.03145536035299301,
-0.8286410570144653,
-0.17636924982070923,
0.15456676483154297,
0.09686417877674103,
1.181370496749878,
-0.10353687405586243,
0.13603150844573975,
-0.17217862606048584,
-0.7944746017456055,
-0.2379307597875595,
-0.09759148955345154,
-0.1215358823... |
Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holo... | pouch | 0 | NIv2 | task471_haspart_answer_generation | zs_opt | [
-0.880893349647522,
0.6393610239028931,
0.03598719835281372,
-0.06135976314544678,
-0.7210026979446411,
0.0347868949174881,
-0.45002591609954834,
0.20298543572425842,
-0.022504892200231552,
-0.7621266841888428,
-0.275915265083313,
-0.34126242995262146,
-0.5468412637710571,
0.29905754327774... |
A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: ഹവാലയായിക്കോട്ടെ, അല്ലെങ്കില് ഭീകരവാദത്തിന് സഹായകരമാകുന്ന മറ്റെന്തെങ്കിലുമായിക്കോട്ടെ ആഗോളസമൂഹം വിവരങ്ങള് നല്കി നമ്മെ സഹായിക്കുന്നുണ്ട്.
A: | आपण संपूर्ण जगाच्या खांद्याला खांदा लावून दहशतवादाविरुद्धची लढाई लढत आहोत. | 4 | NIv2 | task1071_pib_translation_malayalam_marathi | zs_opt | [
0.007186385337263346,
1.1142723560333252,
0.579436182975769,
-0.18811127543449402,
-0.1556471884250641,
-1.7773271799087524,
0.15954992175102234,
0.4140758812427521,
-0.3982163965702057,
-0.35660266876220703,
-1.1043779850006104,
-0.530773401260376,
-0.6101408004760742,
0.05043719708919525... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example solution: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນ... | Solution: ນອກຈາກນັ້ນ ນັບແຕ່ປີ 1957 ເປັນຕົ້ນມາ ໂຮໂນລູລູ ມີກົດໝາຍຄອບຄຸມກວາງຂວາງກໍານົດຂະໜາດ ແລະ ເນື້ອໃນຂອງປ້າຍໂຄສະນາ. | 5 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.797208309173584,
0.4884911775588989,
-0.42788243293762207,
0.180474653840065,
-0.20273154973983765,
-0.39137622714042664,
0.3672283887863159,
0.41920554637908936,
0.03651754930615425,
-0.8605932593345642,
-1.1188198328018188,
0.8545295596122742,
-0.8027116060256958,
0.9481289386749268,
... |
Q: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inf... | strengthener | 7 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.09924381971359253,
0.6377202868461609,
-0.6916005611419678,
0.2062108814716339,
-0.32212594151496887,
-0.8973323106765747,
1.651475191116333,
0.9227757453918457,
0.5413312911987305,
-0.933830738067627,
-0.8028031587600708,
-0.010776815935969353,
-0.7286868095397949,
0.11176443099975586,
... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | Solution: consumer product | 5 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.3628782629966736,
0.2657678723335266,
-0.5834658145904541,
0.29876232147216797,
0.39286506175994873,
-0.13274919986724854,
-0.16026225686073303,
0.9352813959121704,
-0.015760768204927444,
-0.050599873065948486,
-0.3662092089653015,
-0.14634960889816284,
-0.20590347051620483,
-0.402373582... |
You will be given a definition of a task first, then some input of the task.
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question... | no | 1 | NIv2 | task846_pubmedqa_classification | zs_opt | [
0.1982812136411667,
-0.2314988374710083,
-0.22651977837085724,
0.30172425508499146,
-0.02996726892888546,
-0.1567247360944748,
0.8855375051498413,
0.7545076608657837,
0.15944278240203857,
0.562885046005249,
0.13310606777668,
-0.25981494784355164,
-0.38300687074661255,
0.29809069633483887,
... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Q: Dane te pozostawiają za sobą krajobraz.
A: | Quello che questi dati lasciano nella loro scia è un panorama. | 9 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.12142522633075714,
0.920768678188324,
0.004764934536069632,
-0.5484941005706787,
-0.47551199793815613,
-0.6157315373420715,
0.9444390535354614,
0.5768425464630127,
-0.2713097333908081,
-0.7028037905693054,
-0.3455948531627655,
0.5337116718292236,
-0.055343739688396454,
0.861460328102111... |
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 form " A >Causes> B". Try to use phrases and sentences fro... | Jane has to put air >Causes> Jane feel(s) annoyed | 8 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
-0.16659098863601685,
0.45341983437538147,
-0.497101753950119,
-0.4013921320438385,
-0.00040075508877635,
-1.0469837188720703,
0.30507150292396545,
0.9346646666526794,
-0.5520786046981812,
0.21516185998916626,
-0.2146177589893341,
0.6877632141113281,
-0.2804628014564514,
0.2123041749000549... |
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 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 justif... | Correct | 0 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
0.36005303263664246,
0.11266288161277771,
-0.09360460937023163,
0.418476402759552,
0.4687652885913849,
-0.8306951522827148,
0.3543322682380676,
0.14872723817825317,
-0.24287843704223633,
-0.4887627959251404,
-0.32690101861953735,
0.23320376873016357,
-0.6367840766906738,
-0.043158806860446... |
Teacher:This task is about translating a given English language sentence to French.
Teacher: Now, understand the problem? Solve this instance: He gave 2,000 high fives that day, and he washed his hands before and afterward and did not get sick.
Student: | Il a donné 2000 cinqs ce jours-là, et il s'est lavé les mains avant et après et il n'est pas tombé malade. | 6 | NIv2 | task1689_qed_amara_translation | zs_opt | [
-0.11892098933458328,
0.670031726360321,
-0.045464400202035904,
0.015539958141744137,
-0.16322392225265503,
-0.2341907024383545,
0.2955242991447449,
0.2598836421966553,
-0.05452718213200569,
-0.08189228177070618,
-0.22529593110084534,
0.48670417070388794,
-0.18661099672317505,
-1.005635499... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text one
| 5 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.4176299571990967,
0.05460500344634056,
0.2362409234046936,
-0.18274380266666412,
0.6459441781044006,
-0.6331780552864075,
0.1979379504919052,
1.0937223434448242,
-0.055337876081466675,
0.2994478642940521,
-0.034571945667266846,
0.2735862731933594,
-0.5105630159378052,
-0.670445621013641... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Example Input: A monkey is playing drums.
Example Output: O maimuță bate la tobe.
Example Input: Some guy sitting on a couch watching television.
Example Output: Un tip oarecare st... | Recomandări de lectură de la The Note pentru vineri, 6 decembrie 2013
| 3 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
0.632911205291748,
0.5404107570648193,
-0.05423976108431816,
-0.10822676867246628,
0.019175883382558823,
-0.31648319959640503,
0.8826851844787598,
0.8891198635101318,
0.7112374305725098,
-0.054295942187309265,
0.20286500453948975,
0.6882905960083008,
-0.6871715784072876,
-0.758632779121398... |
This task is about translating a given French language sentence to English.
Ex Input:
Prenons par exemple les oiseaux. Beaucoup d'oiseaux viennent dans le golfe du Mexique à certains moments de l'année, mais ils repartent ensuite.
Ex Output:
If you look around at the birds, there are a lot of birds in the Gulf that c... | The right side's going to be very straightforward, but the left side is a little bit tricky.
| 1 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-1.0169299840927124,
0.7813277244567871,
-0.43640223145484924,
-0.6212719678878784,
0.16620585322380066,
-0.11949201673269272,
0.20059077441692352,
-0.16053727269172668,
0.02149021252989769,
-0.07962969690561295,
-0.4224020838737488,
0.09887252002954483,
-0.8486206531524658,
-0.06671800464... |
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
On... | Producers grapple with UW Health’s shift from local food. | 9 | NIv2 | task1368_healthfact_sentence_generation | fs_opt | [
0.37595120072364807,
0.4109584093093872,
0.1999337375164032,
0.24510571360588074,
0.5066214799880981,
-0.35071825981140137,
0.09618116915225983,
1.2398450374603271,
-0.44894883036613464,
0.22196227312088013,
0.06577575206756592,
0.723612368106842,
-0.2799711227416992,
0.5291869640350342,
... |
A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: nsurance Reorm में विदेशी निवेश को 26 प्रतिशत से बढ़ाकर के 49 प्रतिशत करने का फैसला भी हमारी सरकार ने लिया है।
A: | विमा क्षेत्रातील सुधारणेअंतर्गत थेट विदेशी गुंतुवणूक २६ टक्क्यांवरून ४९ टक्के करण्याचा निर्णय देखील आमच्या सरकारने घेतला आहे. | 4 | NIv2 | task1081_pib_translation_hindi_marathi | zs_opt | [
-0.4275321960449219,
0.8090720176696777,
0.9936443567276001,
-0.6551112532615662,
-0.2872242331504822,
-0.4232960343360901,
0.9684442281723022,
1.237109661102295,
0.22398078441619873,
0.011532407253980637,
-0.6018168926239014,
-0.09195354580879211,
-1.0911647081375122,
0.37179869413375854,... |
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