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 |
|---|---|---|---|---|---|---|
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... | Output: Everyone is pretty certain about what they want to do.
| 2 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.279450386762619,
0.7831240892410278,
0.23453837633132935,
0.3890696167945862,
0.22109946608543396,
-1.023620367050171,
0.3213488459587097,
0.8698228597640991,
0.08047865331172943,
-0.19028818607330322,
0.10116521269083023,
0.1348007619380951,
-0.6516469717025757,
-0.7706068158149719,
... |
Detailed Instructions: This task is about translating a given Spanish language sentence to English.
Problem:Ahora, por lo general, esas alternativas será dentro de una clase determinada.
Solution: | Now, typically, those alternatives will be within a particular class. | 8 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.6036161780357361,
0.7128558158874512,
0.8261566162109375,
-0.31138405203819275,
-0.05494353920221329,
-0.2366539090871811,
0.26968830823898315,
1.2644010782241821,
0.8363789319992065,
-0.4382019639015198,
0.3495538830757141,
-0.025783076882362366,
-0.13177205622196198,
0.084436297416687... |
You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.
Each bottle cap costs $ 5 . How much do 5 bottle c... | 25 | 0 | NIv2 | task868_mawps_singleop_question_answering | zs_opt | [
0.23653115332126617,
0.25312337279319763,
0.08869969844818115,
0.2729874551296234,
-0.08799019455909729,
0.37628626823425293,
-0.12802597880363464,
0.5211975574493408,
0.2885085940361023,
-0.5202431082725525,
-0.5413765907287598,
-0.649098813533783,
-0.36889249086380005,
0.1767433136701584... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Input: どこの学校に行くか ？ 学科は何にするべきか ？
Output: | قرار مثل إلى أي مدرسة أذهب ؟ و ما التخصص الذي يجب أن أتخصص فيه ؟ | 2 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.8544595241546631,
-0.16638986766338348,
0.08584578335285187,
-1.0612938404083252,
0.01832260936498642,
-0.10236883163452148,
-0.03302626684308052,
-0.4413453936576843,
0.23214411735534668,
-0.2180652618408203,
-0.327428936958313,
-0.023374110460281372,
-0.0035370984114706516,
0.44880005... |
Instructions: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Input: ['x', 5651, 3371, 'l', 'C', 'N', 3491, 'j', 'Q', 'h', 'v', 'G', 'c', 'F', '4447', '8667', '6295', '3401', '1281', '2651', '6463', 'F', 'N', '5583', 'w', '5439', '8861', 'I', '2895', '2597', 'w', 'I'... | F, 4447, 8667, 6295, 3401, 1281, 2651, 6463, F, N, 5583, w, 5439, 8861, I, 2895, 2597, w, I, 9399, c, e, 4855 | 3 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.2998504638671875,
-0.21484029293060303,
-0.32975807785987854,
-0.3403455317020416,
-0.5087769031524658,
-0.18412363529205322,
0.2976858913898468,
0.7861303091049194,
-0.5088155269622803,
0.2421860545873642,
-0.7760670185089111,
0.1293918788433075,
-0.07250054180622101,
-0.05779506266117... |
Detailed Instructions: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
See one example below:
Problem: Article: ... | All of the following practices are mentioned on tomb-sweeping day EXCEPT _ . | 4 | NIv2 | task649_race_blank_question_generation | fs_opt | [
-0.12610378861427307,
0.27004146575927734,
-0.43175387382507324,
-0.5960426330566406,
0.4368760287761688,
-0.7943900227546692,
0.6704238653182983,
0.8920145034790039,
-0.6090092658996582,
0.29286420345306396,
0.08636689186096191,
0.4308958947658539,
-0.21628005802631378,
0.672592282295227,... |
Detailed Instructions: Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Problem:Question1: What are the best indie game developers?, Question2: What is the best indie game you've played?
Solution: | No | 8 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.34425926208496094,
0.19757921993732452,
-0.11754655838012695,
0.25611820816993713,
-0.540759801864624,
-0.5469728112220764,
0.4646276831626892,
0.4035841226577759,
-0.031125713139772415,
0.1374962329864502,
0.1007411926984787,
-0.5340273380279541,
-0.7854123115539551,
-0.732861042022705... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | select the row whose episode record of all rows is maximum . the segment c record of this row is goat cheese . | 3 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.1473924219608307,
-0.03730398043990135,
-0.18090997636318207,
0.2024918496608734,
0.18130618333816528,
-0.27052950859069824,
0.4003409743309021,
0.32119882106781006,
0.023536935448646545,
-0.23725968599319458,
-0.6006566286087036,
0.2835116386413574,
-0.04077799245715141,
0.5379650592803... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you shoul... | [0, 116127, 729, -19, -21, 1225, -23, -11, -47, 9945, -333]
| 1 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
-0.2427135407924652,
0.0392623133957386,
-0.8839408159255981,
-0.3277689814567566,
-0.17800725996494293,
-0.2856002748012543,
0.9868559837341309,
1.0271706581115723,
-0.3594534695148468,
-0.20716971158981323,
-0.9446397423744202,
-0.047807589173316956,
-0.3812253177165985,
-0.4657369852066... |
Given the task definition and input, reply with output. 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: a house w... | b | 5 | NIv2 | task1678_mathqa_answer_selection | zs_opt | [
0.04754441976547241,
0.2943981885910034,
-0.1598597764968872,
0.4575968086719513,
0.0600786954164505,
-0.10360391438007355,
0.40508735179901123,
0.8851187229156494,
0.34133654832839966,
0.002992523368448019,
-0.6252498030662537,
0.28720125555992126,
-0.014668386429548264,
-0.44113945960998... |
Given the task definition and input, reply with output. 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 ... | Does active transforming growth factor-beta1 activate the procollagen I promoter in patients with acute lung injury? | 5 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.9308041930198669,
0.3911137580871582,
-0.8738901019096375,
-0.09448028355836868,
0.47558456659317017,
-0.4032403230667114,
0.6868100166320801,
0.8492246866226196,
-0.024368293583393097,
0.5433312654495239,
-0.9271008372306824,
-0.05181831121444702,
-0.5648964643478394,
0.3876660764217376... |
instruction:
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
question:
name[xname], price[cheap], rating[5 out of 5], near[xnear]
answer:
xname is a cheap restaurant near the xnear with a 5 out o... | xname offers Chinese food between 20-25 Euros and is kid friendly.
| 9 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.13063058257102966,
0.579439640045166,
-0.6981891393661499,
-0.012912537902593613,
-0.141698956489563,
0.014522911980748177,
0.7833083271980286,
0.5869102478027344,
0.2466585338115692,
-0.4066532850265503,
0.234018474817276,
-0.21993780136108398,
-0.6813369989395142,
0.2487841546535492,
... |
In this task, you need to count the number of nouns/verbs in the given sentence.
Ex Input:
Sentence: 'a keyboard that has some lego men on it'. Count the number of nouns in this sentence.
Ex Output:
2
Ex Input:
Sentence: 'Four boys in deep concentration as they point their game controllers'. Count the number of ve... | 0
| 1 | NIv2 | task155_count_nouns_verbs | fs_opt | [
-0.4389369785785675,
0.7748231887817383,
-1.0491845607757568,
-0.5755903720855713,
-0.19696390628814697,
-0.0011196157429367304,
0.8900673389434814,
0.16263064742088318,
-0.17428046464920044,
-0.9025580883026123,
-0.754669189453125,
0.27926725149154663,
0.1955767273902893,
-0.0159764140844... |
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
[-62, -4, 49] | 53 | 0 | NIv2 | task1445_closest_integers | zs_opt | [
-0.5451879501342773,
1.086081862449646,
0.01481541059911251,
-0.13498571515083313,
-0.49541014432907104,
-0.017465675249695778,
0.8531897664070129,
-0.03322811424732208,
0.8824700117111206,
-0.4128662347793579,
-0.48889708518981934,
-0.38740378618240356,
-0.47502124309539795,
0.14042815566... |
Part 1. Definition
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Part 2. Example
ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາຣີ ປະເທດຝຣັ່ງ.
Answe... | イギリス政府は２％のインフレターゲットを持っているが、これを１％以上上回っている。 | 7 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.6403160095214844,
0.5936984419822693,
-0.5945398807525635,
0.27621740102767944,
-0.23439377546310425,
-0.288017213344574,
0.7310857176780701,
0.45019981265068054,
0.22073228657245636,
-0.7044191360473633,
-1.0109987258911133,
0.7774767875671387,
-0.8697316646575928,
1.0140597820281982,
... |
Definition: In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choos... | Business | 2 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.4150870442390442,
0.09753580391407013,
-0.5111117362976074,
0.7112362384796143,
0.139659583568573,
0.2598598599433899,
-0.49867942929267883,
0.019929952919483185,
0.2119055837392807,
0.08079691231250763,
-0.7225892543792725,
0.1536904275417328,
-0.12592700123786926,
-0.22937923669815063... |
Detailed 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.
Problem:India promised that it would n... | L'Inde promit alors de ne pas exporter sa technologie militaire. | 8 | NIv2 | task1371_newscomm_translation | zs_opt | [
-0.7621877193450928,
0.710479736328125,
0.22384674847126007,
0.1959940493106842,
0.08756205439567566,
0.07099266350269318,
0.3160119950771332,
0.5181586742401123,
0.0571652352809906,
-0.07311110198497772,
-0.3081338107585907,
0.09875177592039108,
-0.37012261152267456,
-0.054807666689157486... |
Q: 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 ex... | Location | 7 | NIv2 | task1289_trec_classification | zs_opt | [
-0.03133781999349594,
-0.3455762267112732,
-0.05373288691043854,
-0.5523775815963745,
-0.570838212966919,
-0.39316079020500183,
-0.05066815763711929,
-0.18075153231620789,
0.17480000853538513,
-0.34244102239608765,
-0.7030704021453857,
-0.2845182418823242,
-0.5710922479629517,
0.1991885453... |
Definition: 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:... | C | 2 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
-0.2745465636253357,
0.31987494230270386,
-0.2637653946876526,
0.34926706552505493,
0.06086059287190437,
0.46395057439804077,
0.3422553539276123,
0.8426961898803711,
-0.10342827439308167,
0.28159579634666443,
-0.8824963569641113,
-0.2678670883178711,
0.20256316661834717,
-0.082936950027942... |
In this task, you're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly different fro... | No | 3 | NIv2 | task630_dbpedia_14_classification | fs_opt | [
-1.3375442028045654,
0.8222945332527161,
0.32760077714920044,
0.48266783356666565,
0.28649699687957764,
-0.5968074798583984,
0.4832371473312378,
-0.12096637487411499,
-0.3288448452949524,
0.2338411808013916,
-0.009337157011032104,
0.18713125586509705,
-0.44403716921806335,
0.13562759757041... |
instruction:
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
question:
While incumbent Prime Minister Najib Razak looks likely to secure another term, he is facing a strong challenge from his long-time ally, former prime minister Mahathir Mohamad, who... | The release of the new Fast and Furious film has been pushed back by almost a year as the impact of the coronavirus outbreak hits Hollywood.
| 9 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
-0.01540107186883688,
0.20038777589797974,
-0.28143349289894104,
-0.5126997232437134,
0.7691810131072998,
0.20937480032444,
0.9497400522232056,
0.8156249523162842,
-0.2389501929283142,
0.7388191223144531,
-0.6311109066009521,
0.6758066415786743,
-0.7721089720726013,
0.6150009632110596,
-... |
Teacher:In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list... | [-272, -2334720, 360, -2400, 4, 20, -252, -7920, 11520, 8, 0, -360, 8] | 6 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.3075906038284302,
0.31735002994537354,
-0.5692061185836792,
-0.4362924098968506,
-0.08479537069797516,
0.17337588965892792,
0.7951545715332031,
0.7170679569244385,
-0.20673811435699463,
-0.07725285738706589,
-0.5807673931121826,
-0.1381271779537201,
-0.5808182954788208,
-0.5162615776062... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Zdrada seksualna to tylko jeden sposób zranienia partnera.
Traição sexual é apenas uma das maneiras de magoar um parceiro.
Zdobycz bierze się z grabieży.
"" O prémio duma pessoa deriva da pilhagem de outra.
Nie mogła zna... | Ela não conseguiu arranjar ninguém que fosse com ela, e a minha resposta foi: "" Claro que quero ir ao corredor da morte! "" E então, esse foi o nosso primeiro encontro.
| 0 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-1.1689722537994385,
1.186370611190796,
-0.3675149083137512,
-0.4386288523674011,
-0.8698387145996094,
0.32447898387908936,
0.9667912721633911,
-0.17792513966560364,
-0.07035718858242035,
-0.69694983959198,
-0.5749036073684692,
0.35850057005882263,
-0.8460259437561035,
-0.06905798614025116... |
Q: A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Text: Ces nouvelles suivent le occurance récemment mal avec Windows 7 machines OS, qui aurait échoué lorsque leur nouvelle mise à jour est arrivé.
A: | French | 7 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
0.02897602878510952,
0.8097728490829468,
1.1325267553329468,
-0.04803662747144699,
0.24643322825431824,
-0.7350021600723267,
-0.3545924723148346,
0.5950361490249634,
0.4236931800842285,
-0.10775040090084076,
0.5176205635070801,
0.1669425517320633,
-0.33116626739501953,
0.6195923089981079,
... |
In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
Avian influenza | Fågelinfluensa | 0 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | zs_opt | [
0.3600512146949768,
0.8187859654426575,
-0.09829047322273254,
-0.9931248426437378,
-0.15869644284248352,
-0.4736829102039337,
0.26936042308807373,
0.6055684089660645,
0.30745986104011536,
0.40400320291519165,
-0.22539424896240234,
0.14485453069210052,
-0.5759438872337341,
0.079487264156341... |
Instructions: In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Input: Context_1 : Daniel Elliott Huger (June 28, 1779August 21, 1854) was a United States Sena... | Gilbert du Motier, Marquis de Lafayette | 3 | NIv2 | task170_hotpotqa_answer_generation | zs_opt | [
0.7442261576652527,
0.2814592123031616,
-0.6527875065803528,
-0.1869712471961975,
-0.026707006618380547,
-0.8918503522872925,
0.9078317880630493,
1.0122469663619995,
0.1796024739742279,
0.3239048719406128,
-0.3663075566291809,
0.6100500226020813,
-0.5081724524497986,
0.1790502816438675,
... |
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 title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Text: major fuckup today. i was tr... | TIFU by buying Whip Its with my PayPal account from eBay. I'm on probation. I now have a transaction "Whip Its. 100 Nitrous Oxide Cream Chargers". Am I going down or is whipits not a drug and I won't get arrested? | 5 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
-0.7387262582778931,
0.5995648503303528,
0.3528185486793518,
-0.3740830421447754,
-0.09807534515857697,
-0.24264806509017944,
0.2398586869239807,
0.5504865050315857,
0.5603526830673218,
0.6058385372161865,
0.0855703353881836,
-0.06931274384260178,
-0.8269942998886108,
-0.25135332345962524,... |
Given the task definition, example input & output, solve the new input case.
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].
Example: Verify if the sentiment... | no | 1 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-1.2862749099731445,
0.0330108180642128,
0.6682942509651184,
0.32575559616088867,
0.27467215061187744,
-1.048820972442627,
0.8636866211891174,
0.34990108013153076,
0.15145421028137207,
0.19822676479816437,
-0.22807979583740234,
-0.29504165053367615,
-0.005185876507312059,
-0.42321929335594... |
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 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 t... | Chrome OS. | 0 | NIv2 | task339_record_answer_generation | fs_opt | [
0.19460242986679077,
0.3931750953197479,
-0.713249146938324,
0.28289324045181274,
-0.0891740471124649,
0.30041319131851196,
0.40229347348213196,
0.8302165269851685,
-0.26760345697402954,
0.6188902258872986,
0.32764866948127747,
0.4266948103904724,
-0.47609397768974304,
0.13197506964206696,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
But my colleagues didn't know.
Output: | ولكن زملائي لم يعرفوا. | 1 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.31662634015083313,
0.8959906697273254,
0.09878696501255035,
-0.1882190704345703,
0.307761013507843,
0.04718390107154846,
0.6048537492752075,
0.2925754189491272,
0.730991780757904,
0.339572548866272,
-0.2523447871208191,
-0.5290428400039673,
-0.7166332006454468,
-0.2352466583251953,
0.... |
TASK DEFINITION: Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the questio... | decreases.
| 8 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.45947742462158203,
0.2091841697692871,
-0.31426185369491577,
-0.1624547690153122,
-0.6880284547805786,
-0.5439770221710205,
0.9576103687286377,
-0.03164359927177429,
-0.27333322167396545,
-0.10527394711971283,
-0.4166540801525116,
-0.24165241420269012,
-1.0445706844329834,
0.384859502315... |
Definition: In this task, you're given statements in native Kannada language. The statement can be written with the Kannada alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive pos... | Offensive | 2 | NIv2 | task1539_kannada_offenseval_dravidian_classification | zs_opt | [
-0.118775874376297,
1.2047078609466553,
-0.24058392643928528,
0.11692588031291962,
-0.2106623351573944,
-1.1776039600372314,
1.0027296543121338,
-0.586605429649353,
0.09365896880626678,
-0.6831300258636475,
-0.27109241485595703,
-0.6840955018997192,
-0.46142545342445374,
0.0607119649648666... |
You will be given a definition of a task first, then some input of the task.
In this task, you are to Translate German text to English
Diese werden zuerst von den Keilriemenfoerderern erfaszt.
Output: | These are first detected by the V-belt conveyors. | 1 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
-0.16446340084075928,
0.7946072220802307,
-0.11010359972715378,
-0.2583286166191101,
-0.3735623359680176,
0.17945945262908936,
0.5645389556884766,
0.0769387036561966,
0.2109348475933075,
0.20172245800495148,
-0.025030821561813354,
-0.2669816017150879,
0.2538096308708191,
0.4427592754364013... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and ... | No | 0 | NIv2 | task359_casino_classification_negotiation_vouch_fair | fs_opt | [
-0.21107566356658936,
0.4637223482131958,
-0.2531946003437042,
0.0253788772970438,
-0.4305295944213867,
-0.3579116463661194,
1.3280863761901855,
0.5026203393936157,
0.24365189671516418,
-0.1040993481874466,
0.2093958556652069,
-0.0908999964594841,
-0.6151056289672852,
0.12836392223834991,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have s... | New York state, leading the nation in coronavirus infections and deaths, is showing tentative signs of curbing the spread of the disease, the governor said on Wednesday, even as fatalities in New York City jumped while the health crisis deepened in hard-hit New Orleans and elsewhere. | 0 | NIv2 | task1369_healthfact_sentence_generation | fs_opt | [
0.6830588579177856,
0.33195894956588745,
0.23208749294281006,
0.12283413112163544,
0.8481468558311462,
-0.5792292356491089,
-0.019003551453351974,
1.2740634679794312,
-0.5134402513504028,
0.35816481709480286,
0.10866144299507141,
0.784981369972229,
-0.43002593517303467,
0.49257946014404297... |
Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Example: Poster: Stopped by Fashion Week and got to hang with Amber Fi... | Solution: Positive | 5 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.6492358446121216,
-0.19320619106292725,
0.343006432056427,
-0.023847725242376328,
0.45740988850593567,
-0.33991867303848267,
0.044608235359191895,
0.07180880010128021,
0.7396936416625977,
0.47552961111068726,
-0.006062086671590805,
0.16617299616336823,
-0.30319899320602417,
0.0308593846... |
Given the task definition and input, reply with output. In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).... | No | 5 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.019772903993725777,
0.2304026186466217,
0.11366184055805206,
0.06087995693087578,
-0.44291624426841736,
-0.8149043917655945,
0.7258901596069336,
0.5166346430778503,
-0.8410736322402954,
-0.39995935559272766,
-0.20100125670433044,
-0.4598895311355591,
-0.7334198951721191,
-0.1508001387119... |
Definition: 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... | शायद आप एम. | 2 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.034248236566782,
0.2974368929862976,
-0.046524882316589355,
0.4895703196525574,
-0.24829605221748352,
-0.6654052734375,
0.32624849677085876,
0.30014681816101074,
0.2896294593811035,
-0.5157326459884644,
-1.2507202625274658,
-0.15991713106632233,
0.012234390713274479,
0.4823058843612671,... |
Given the task definition and input, reply with output. In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Text: Drukar... | Yes | 5 | NIv2 | task635_allegro_reviews_answer_generation | zs_opt | [
-1.2651593685150146,
0.34523412585258484,
0.0057429843582212925,
0.14392651617527008,
0.11527363210916519,
0.23433125019073486,
0.12727099657058716,
0.5521961450576782,
0.446295827627182,
0.5661217570304871,
-0.24457767605781555,
0.9390671253204346,
-0.09438841044902802,
-0.198487520217895... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Ex Input:
I don't know why I used paper to write my essay instead of computer, it's convenient to edit on the _ . (A) paper (B) computer
Ex Output:
B
... | A
| 1 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.3397630453109741,
0.6357665061950684,
-0.33705222606658936,
-0.6257587671279907,
-0.21521204710006714,
-0.4967615008354187,
0.34133943915367126,
0.9324938058853149,
0.6514507532119751,
0.4528340697288513,
-0.013508547097444534,
0.1606670618057251,
0.48202595114707947,
-0.4198564291000366... |
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 input are separated by "#". Your job is to generate a sentence describing a d... | An airplane getting ready for flight at an airport. | 4 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.17258742451667786,
0.050079017877578735,
-0.4631451368331909,
-0.6488997936248779,
-0.1551470309495926,
-0.44693514704704285,
0.41853219270706177,
0.7808842658996582,
-0.12698149681091309,
0.11757687479257584,
-0.7121860980987549,
0.008714736439287663,
-0.20163142681121826,
0.0845614671... |
Teacher: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: 'a white cat on a desk near a computer monitor'. Count... | 17 | 2 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.3515856862068176,
0.19783879816532135,
-0.8772258758544922,
-0.6076661944389343,
0.16321706771850586,
-0.26444876194000244,
-0.4587138295173645,
0.67740398645401,
0.27721163630485535,
0.0664188414812088,
0.11797724664211273,
0.013197120279073715,
0.07818950712680817,
-0.17695853114128113... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Un avion alb este parcat pe ciment.
A white airplane is parked on the cement.
Femeia merge călare pe un cal.
The woman is riding a horse.
Bărbatul desenează.
| The man is drawing.
| 0 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.005302790552377701,
0.7891605496406555,
-0.12693700194358826,
-0.29068201780319214,
-0.18980446457862854,
0.41001954674720764,
0.7722556591033936,
1.2423574924468994,
1.032047986984253,
0.10680699348449707,
-0.16236649453639984,
0.9988436698913574,
-0.2517727017402649,
-0.16673788428306... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
One example: Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Solution is here: Lionel Messi is the greatest football player of all time
Explanation: The output ... | 16 Therefore the LORD, the God of hosts, the LORD, saith thus; Wailing shall be in all streets; and they shall say in all the highways, Alas! alas! and they shall call the husbandman to mourning, and such as are skilful of lamentation to wailing. | 6 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
0.07884088903665543,
0.7771127223968506,
-0.16772310435771942,
-0.36929839849472046,
-0.10699942708015442,
-0.9553147554397583,
-0.2046787440776825,
0.30268990993499756,
0.5986505746841431,
-0.5758152604103088,
0.23420977592468262,
0.894917368888855,
-1.0086510181427002,
-0.282219529151916... |
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.
Example input: Ok, the natio... | user | 3 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.19182726740837097,
0.8298041820526123,
-0.5001270174980164,
-0.7061340808868408,
-0.3898720443248749,
-0.2063383162021637,
1.6237704753875732,
-0.7368968725204468,
1.1954622268676758,
-0.4547010362148285,
-0.06979049742221832,
0.17030231654644012,
-0.21526694297790527,
0.389959871768951... |
Q: 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.
Comment: He is both a dummy and an illiterate.... | Non-threat | 7 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.874726414680481,
1.1335666179656982,
1.3660751581192017,
-0.16355931758880615,
0.20140637457370758,
-0.3520317077636719,
1.5392323732376099,
0.4108734130859375,
0.1807481050491333,
0.448617547750473,
-0.16153916716575623,
0.31284505128860474,
-0.8376524448394775,
-0.7718603610992432,
... |
Definition: In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: アニメ「魔法先生ネギま！」のＥＤテーマです . こちらは野中藍さん（近衛木乃香役）、小林ゆうさん（桜咲刹那役）、 能登麻美子さん（宮崎のどか... | POS | 2 | NIv2 | task487_cls_japanese_music_classification | zs_opt | [
-0.2994207441806793,
-0.4952121078968048,
0.06890471279621124,
-0.40490949153900146,
0.7724820375442505,
-0.1836549937725067,
0.6809380054473877,
-0.0835876315832138,
-0.37159842252731323,
0.27402061223983765,
-0.3161642551422119,
-0.9321856498718262,
0.16573159396648407,
-0.01076897047460... |
Instructions: 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 .
Input: Statement: சத்தியகாம ஜாபாலா சிறுவனாக இருந்த போது குரு <MASK> வேத பாடம் பயிலச் சென்ற போது, உனது ... | கௌதமரிடம் | 3 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.910411536693573,
1.1876657009124756,
-0.5361831188201904,
-0.6970603466033936,
-0.5739808082580566,
-0.3123607039451599,
-0.18897709250450134,
0.6882053017616272,
-0.23430760204792023,
-0.10145793855190277,
0.32730135321617126,
0.10727184265851974,
-0.5160061717033386,
-0.661649584770202... |
Teacher: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento.
Sol... | ומה שאמרנו, אמא שלי ואני, "" תודה לך קידמה תעשיתית. | 2 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.9043118953704834,
0.5024522542953491,
0.537466287612915,
-0.5135880708694458,
-0.39027664065361023,
-0.09622757136821747,
0.45568418502807617,
0.55588698387146,
-0.6399080753326416,
-0.13845214247703552,
-0.13083642721176147,
-0.1740063726902008,
-0.9533348083496094,
-0.4347933530807495... |
Instructions: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Input: Poster: The The Episcopal Diocese of Mississippi ... | Neutral | 3 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-1.1413865089416504,
-0.17761436104774475,
0.5460928082466125,
0.506749153137207,
0.5013318061828613,
-0.3567326068878174,
0.16982623934745789,
0.5538903474807739,
0.8103576302528381,
0.4740714430809021,
-0.029637418687343597,
0.3250766098499298,
0.16481779515743256,
-0.27615058422088623,
... |
TASK DEFINITION: Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using... | yes
| 8 | NIv2 | task115_help_advice_classification | fs_opt | [
0.07356943190097809,
0.7242718935012817,
0.34789156913757324,
-0.3033139109611511,
0.21158866584300995,
-0.9403955340385437,
1.5112780332565308,
0.5151255130767822,
0.09311267733573914,
0.05663681775331497,
-0.03296351805329323,
-0.34300506114959717,
-0.8960700631141663,
-0.035722836852073... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Q: فرآیند یا شیوه سازماندهی باشد.
A: | It can be a process or a way of organizing. | 9 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
0.047330934554338455,
0.41529417037963867,
-0.0713234543800354,
-0.1741071194410324,
-0.3004668653011322,
-0.02490774169564247,
0.30923372507095337,
0.20149041712284088,
0.7914966940879822,
0.23606982827186584,
-0.828331470489502,
-0.2381591498851776,
0.28771957755088806,
0.643019020557403... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option B
| 1 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.8808566331863403,
0.20721110701560974,
-0.8795689344406128,
-0.5377784371376038,
0.49730026721954346,
-0.7457359433174133,
0.5221546292304993,
0.5066552758216858,
-0.06908655166625977,
-0.14786140620708466,
-0.5683588981628418,
0.07945439964532852,
-0.8315194845199585,
-0.474893331527709... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | [204, 273, 168, 225, 78, 24, 147] | 0 | NIv2 | task374_synthetic_pos_or_neg_calculation | zs_opt | [
-0.6400378942489624,
0.17497047781944275,
-0.029602384194731712,
-0.19036246836185455,
0.19771228730678558,
0.04375801607966423,
1.2306455373764038,
0.24955976009368896,
-0.37441039085388184,
0.42110031843185425,
-0.7659516334533691,
0.1811394989490509,
-0.38077232241630554,
-0.42971807718... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Example Input: Question1: How should I start Competitive programming, without having any experience in it?, Question2: How do I learn competitive programming without any programming... | Yes
| 3 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.6218500137329102,
0.2984040379524231,
0.6662363409996033,
0.15101073682308197,
-0.07522855699062347,
-0.3479437232017517,
0.2528808116912842,
1.0090453624725342,
-0.02838772162795067,
0.0588904470205307,
-0.10852190107107162,
-0.23023158311843872,
-0.5449821352958679,
-0.352570503950119... |
You will be given a definition of a task first, then some input of the task.
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, Pers... | No | 1 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.36499112844467163,
0.1972196102142334,
0.4774136245250702,
-0.16245383024215698,
-0.3758572041988373,
-0.6265393495559692,
1.1875851154327393,
0.16689516603946686,
-0.7329806089401245,
-0.2653946280479431,
-0.3716595470905304,
-0.72621750831604,
-0.4250662326812744,
0.3303217887878418,
... |
Given the task definition and input, reply with output. You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
what movies was Carl Billquist an actor in?
| Peter-No-Tail | 5 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.9768162965774536,
1.517935037612915,
0.25370097160339355,
0.48532888293266296,
-0.3410320580005646,
0.2665847837924957,
0.7810092568397522,
0.33670955896377563,
0.09079049527645111,
-0.08695708215236664,
-0.41233116388320923,
-0.27020078897476196,
0.29556646943092346,
-0.158631712198257... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Q: 9870 aggiunta 7859 aggiu... | 30546 | 4 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.4182063937187195,
0.7469780445098877,
-0.4754130244255066,
-0.25673794746398926,
-0.6001788377761841,
-0.051839567720890045,
0.4419514536857605,
0.7412171363830566,
0.4079030454158783,
-0.5319792032241821,
-1.17167067527771,
-0.5881496667861938,
-0.35912567377090454,
0.6933794021606445,... |
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.... | No | 7 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.6716228723526001,
0.10894139111042023,
0.2991514503955841,
0.030018407851457596,
-0.3068798780441284,
-1.0486035346984863,
0.840822696685791,
0.5095214247703552,
-0.35677897930145264,
-0.07567140460014343,
-0.4632973372936249,
-0.440588116645813,
-0.7642195820808411,
-0.05154448002576828... |
Detailed Instructions: The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT... | " panda express " چه امتیازی دارد؟ | 9 | NIv2 | task172_spl_translation_en_fa | zs_opt | [
-0.88509601354599,
0.6096607446670532,
0.6808474063873291,
-0.46613627672195435,
-0.14636482298374176,
0.20740100741386414,
1.2406424283981323,
0.2665407359600067,
-0.19938448071479797,
-0.15149320662021637,
-0.4767904281616211,
-0.24880114197731018,
-0.21998846530914307,
0.647013068199157... |
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 ... | walk and look opposite left thrice
****
| 4 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.4487144947052002,
0.7365104556083679,
-0.558275580406189,
0.2959425747394562,
-0.21235330402851105,
0.018938031047582626,
-0.1704624891281128,
0.7527116537094116,
-0.27177220582962036,
-0.11414511501789093,
-0.7746965885162354,
-0.3826897144317627,
-0.5850790739059448,
-0.019469009712338... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using... | The man giving a speech is Asian. | 6 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.03153767064213753,
0.1840260922908783,
0.5749011039733887,
-0.8896147012710571,
0.077184297144413,
-0.16903463006019592,
0.006016870960593224,
0.629321813583374,
0.087096206843853,
-0.2588413953781128,
-0.7216683626174927,
-0.31223264336586,
-0.3103555738925934,
-0.3672989010810852,
0... |
TASK DEFINITION: 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.
PROBLEM: Article: One summer my friend and I decided to go to Italy for a holiday and we decided to travel there without going through a travel agency. You know, you wou... | What is the problem with the worried parent in the text?
| 8 | NIv2 | task311_race_question_generation | fs_opt | [
1.4961961507797241,
0.11691640317440033,
-0.49650150537490845,
-0.49918121099472046,
0.876993715763092,
-0.006384182255715132,
1.157368779182434,
0.9716171026229858,
0.22649216651916504,
0.40005922317504883,
-0.2973659634590149,
0.734699010848999,
-0.4381440281867981,
0.6053030490875244,
... |
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: நமது ராணுவத்திற்கு இத்தகைய அவமதிப்பை நான் சகித்துக் கொள்ளமாட்டேன்.
A: | ਮੈਂ ਸਾਡੇ ਹਥਿਆਰਬੰਦ ਬਲਾਂ ਦਾ ਇਹ ਅਪਮਾਨ ਬਰਦਾਸ਼ਤ ਨਹੀਂ ਕਰਾਂਗਾ | 4 | NIv2 | task1016_pib_translation_tamil_punjabi | zs_opt | [
0.7802982926368713,
1.1445140838623047,
0.07419101893901825,
-0.10330113768577576,
-0.29698580503463745,
-1.6707104444503784,
0.8976669311523438,
0.41265296936035156,
0.19216328859329224,
0.15556217730045319,
-0.22349104285240173,
-0.2777617573738098,
-1.3171591758728027,
0.237124204635620... |
Instructions: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Input: Context: What we fear ... | no | 3 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.6879211068153381,
0.49424371123313904,
0.6247577667236328,
0.8354857563972473,
0.2310115098953247,
-0.7215116620063782,
0.3123893737792969,
-0.08074307441711426,
0.39737647771835327,
0.6378383636474609,
-0.013461438938975334,
-0.14024761319160461,
-0.3503718972206116,
0.1833446472883224... |
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: Love this for espressos...the raw sugar cube is not as sweet as the refined sugars and more rich in flavor.
A... | Perfect for Espresso | 4 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
0.18883875012397766,
0.5038500428199768,
0.3906729817390442,
-0.8315044045448303,
-0.27883416414260864,
0.1189311221241951,
0.6475552320480347,
0.9154358506202698,
0.028654517605900764,
0.36911290884017944,
0.03917641192674637,
-0.3312038779258728,
0.45136499404907227,
-0.4383735656738281,... |
You will be given a definition of a task first, then some input of the task.
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 c... | Le film Orange mécanique a été accusé de faire l’apologie de la violence et certaines de ses scènes restent assez insoutenables. | 1 | NIv2 | task1371_newscomm_translation | zs_opt | [
-0.2815166115760803,
0.5074623823165894,
0.22873270511627197,
0.5919471979141235,
0.46367013454437256,
0.01861792802810669,
0.022679505869746208,
0.8366410732269287,
0.41927745938301086,
0.18226096034049988,
-0.33417221903800964,
-0.41811898350715637,
0.11191993951797485,
-0.37629431486129... |
Given the task definition and input, reply with output. In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtracti... | 19114 | 5 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.34385305643081665,
0.9185869097709656,
-0.19773513078689575,
0.10062704980373383,
-0.5678814649581909,
0.1282958835363388,
0.734139084815979,
0.6823163032531738,
0.31134748458862305,
-0.6115235090255737,
-1.221222162246704,
-0.06164443865418434,
-0.4906315207481384,
0.7542098164558411,
... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | 27
| 0 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.6352056264877319,
1.345585823059082,
0.11284476518630981,
-0.48117026686668396,
0.09568396210670471,
-0.12103710323572159,
1.3594677448272705,
-0.23601475358009338,
0.34185898303985596,
-0.9142571687698364,
0.03354446589946747,
-0.19938266277313232,
-0.8184038996696472,
-0.52210360765457... |
Q: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'inform... | informal | 7 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
-0.4640180468559265,
0.5002791285514832,
0.05348390340805054,
-0.7754788994789124,
-0.37691521644592285,
-0.04452628269791603,
0.5331324934959412,
0.13114532828330994,
-0.006536896340548992,
-0.4970571994781494,
-0.23957186937332153,
-0.7059241533279419,
-0.8847281336784363,
0.502845525741... |
Detailed Instructions: Given a sentence in Russian, generate a new Russian 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... | Если ты хочешь пообедать, то ты должен сделать это за ночь до этого. | 8 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.02025720477104187,
0.6720852255821228,
0.05975664407014847,
-0.3146873712539673,
-0.8714052438735962,
0.346890926361084,
0.7949268221855164,
1.244404673576355,
0.23294982314109802,
-0.5931962728500366,
-0.6937689781188965,
-0.30538374185562134,
-0.5074026584625244,
-0.03334110230207443,... |
TASK DEFINITION: In this task, you are given a country name, and you need to return the numeric International Organization for Standardization (ISO) code of the given country. The codes are three-digit numbers defined by the ISO to represent countries, dependent territories, and special areas of geographical interest.
... | 008
| 8 | NIv2 | task1425_country_iso_numeric | fs_opt | [
0.4286271333694458,
0.06264419853687286,
-0.5598656535148621,
-1.0479533672332764,
0.020956095308065414,
0.23858456313610077,
1.1965047121047974,
-0.22522297501564026,
-0.9050315618515015,
0.5476746559143066,
-1.1436182260513306,
0.03936626762151718,
-0.3529149889945984,
0.0153469033539295... |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | What is the first name of the friend of the artist that the girls meet? | 0 | NIv2 | task001_quoref_question_generation | zs_opt | [
-0.3251365125179291,
0.9888564944267273,
0.38125431537628174,
-0.2200264036655426,
0.7493635416030884,
-0.14904290437698364,
-0.018186170607805252,
0.6453546285629272,
-0.2821749150753021,
0.45859697461128235,
0.4071263074874878,
0.0850895419716835,
-0.3484104871749878,
-0.2727822363376617... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
One example is below.
Q: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event.... | As soon as they got in, Tracy walked out due to the smell. | 9 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.1406310647726059,
0.9570480585098267,
0.0707094743847847,
-0.26750531792640686,
0.06431134045124054,
0.5846685171127319,
0.8614945411682129,
0.3138110041618347,
0.22613495588302612,
0.2154352068901062,
-0.7699798345565796,
-0.07852767407894135,
-0.13515275716781616,
0.5634403228759766,
... |
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 preceding the last i elements. i will always have a value less than the length of A.
Input: Consider Input: 6, ['3677', '7083', 'F', 'y', '9257', 'c', 'J', '8095', '8747', '7145', 'D', '1779', '722... | Output: A, 513, E, 6045, u, 4185, 4665, 1861, 4343, W, A, P
| 2 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.2565251588821411,
0.2809673547744751,
-0.3965582847595215,
-0.7817525863647461,
-0.5044600367546082,
-0.4234127998352051,
0.3503260910511017,
0.6288450360298157,
-0.5715140104293823,
0.11504730582237244,
-0.7141940593719482,
0.014595985412597656,
0.13430844247341156,
-0.1356024146080017,... |
Teacher: Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following example:
អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប... | スチュワートは新しい法律がほんのわずかのスパムと戦うだけであろうと言い、受け取ったスパムの９９％?９９．９％が外国起源のものだと言った。 | 2 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
-0.0664563924074173,
0.17241385579109192,
-0.5843952298164368,
0.3190693259239197,
-0.2067759484052658,
-0.4038512110710144,
-0.11901399493217468,
0.6132308840751648,
-0.14947888255119324,
-0.3689124584197998,
-0.6547802686691284,
0.7082947492599487,
-0.6048831343650818,
0.2640295326709747... |
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific ... | COORD
| 3 | NIv2 | task1505_root09_semantic_relation_classification | fs_opt | [
-0.44655072689056396,
0.18241271376609802,
0.006557998713105917,
-0.03624007850885391,
-0.5737655162811279,
-0.3231191039085388,
0.3270528316497803,
0.3582824468612671,
0.35696396231651306,
-0.4555601179599762,
-1.089855670928955,
-0.08880355209112167,
-0.5071529150009155,
0.12383957207202... |
Detailed Instructions: Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expa... | no | 4 | NIv2 | task361_spolin_yesand_prompt_response_classification | fs_opt | [
0.29061463475227356,
0.4274942874908447,
0.3585715889930725,
0.03233905881643295,
0.12513041496276855,
-1.4826233386993408,
0.2737920880317688,
0.43099379539489746,
0.2992018461227417,
-0.20881915092468262,
-0.4856591820716858,
0.11416568607091904,
-0.3310863971710205,
0.2758803367614746,
... |
In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
[Q]: (CNN) -- It'... | She sat on a grassy patch in _, exhausted, her shoes off.
| 5 | NIv2 | task301_record_question_generation | fs_opt | [
0.36385512351989746,
0.4526810348033905,
-0.3072526156902313,
-0.05420441925525665,
0.6118075847625732,
-0.23344534635543823,
0.5581449270248413,
0.5884978771209717,
0.22557297348976135,
0.04010704904794693,
0.14929330348968506,
0.7084851264953613,
-0.5388912558555603,
0.04012679308652878,... |
Instructions: Given a part of privacy policy text, classify it into one of these categories:
(1) First Party Collection/Use (how and why a service provider collects user information),
(2) Third Party Sharing/Collection (how user information may be shared with or collected by third parties),
(3) User Choice/Contro... | Data Retention | 3 | NIv2 | task682_online_privacy_policy_text_classification | zs_opt | [
-0.25140684843063354,
0.44826775789260864,
-0.8138027787208557,
0.17181891202926636,
-0.5627964735031128,
-0.5199741125106812,
0.1865697205066681,
0.5320459008216858,
0.1924447864294052,
0.502454400062561,
-0.4573706388473511,
-0.02443993091583252,
-0.2959708869457245,
-0.7171715497970581,... |
Detailed 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 r... | Bạn có thể dùng một bản đồ mô phỏng để tìm địa chỉ. | 8 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
-0.03375570476055145,
0.31005313992500305,
0.06708024442195892,
-0.4748891592025757,
-0.13144683837890625,
-0.9029933214187622,
0.48229238390922546,
1.3983526229858398,
0.021844962611794472,
0.16456389427185059,
-0.4374309182167053,
0.04089503735303879,
0.30279815196990967,
-0.105730600655... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant s... | 67398673503 | 0 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.4103041887283325,
0.37252482771873474,
-0.8575288653373718,
-0.4803706407546997,
-0.06330324709415436,
-0.3140873610973358,
0.24869516491889954,
0.275255024433136,
-0.3941687047481537,
-0.08341701328754425,
-0.6557480096817017,
-0.13655328750610352,
-0.18688014149665833,
-0.0547784902155... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Input: Consider Input: ... | Output: 1
| 2 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.7067249417304993,
0.23571676015853882,
-0.18858368694782257,
-0.08643651753664017,
-0.45831769704818726,
-0.25392481684684753,
-0.014656750485301018,
1.32548189163208,
-0.41757577657699585,
0.3565691113471985,
-0.4715413451194763,
-0.06673209369182587,
-0.4598606824874878,
-0.2420460283... |
Teacher: In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Teacher: Now, understand the problem? If you are still confused, see the following example:
i don't work i could take your shift i am a student
Sol... | other | 2 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.7060104012489319,
0.1651867926120758,
0.2779044806957245,
-0.6887660026550293,
0.12390341609716415,
-0.41209089756011963,
0.39208152890205383,
0.3978654146194458,
0.6905897855758667,
-0.27152547240257263,
0.3202159106731415,
-0.6193978786468506,
-0.6928818225860596,
-0.2351463884115219,... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
چرا به این پنج پیامبران اولوالعزم می گویند؟ <sep> به چه کسانی پیامبران اولوالعزم می گویند؟ | not-paraphrase | 0 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-0.964799165725708,
0.7830103635787964,
0.08784560114145279,
0.11249606311321259,
-0.6149110794067383,
0.950587809085846,
1.3386027812957764,
0.12503105401992798,
0.3459533751010895,
-0.39448416233062744,
-0.9176119565963745,
-0.4849502444267273,
-0.2555370330810547,
0.15283894538879395,
... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively... | C | 3 | NIv2 | task190_snli_classification | zs_opt | [
-0.8466477990150452,
0.6354591846466064,
0.21314279735088348,
-0.2095232903957367,
0.16882608830928802,
-0.487313449382782,
0.052701614797115326,
0.8369185328483582,
0.19032087922096252,
-0.13096262514591217,
-0.21822354197502136,
-0.6979777812957764,
-0.24088668823242188,
-0.3482536077499... |
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
[EX Q]: Ọ̀ọ̀ni Ilé Ifẹ̀: Ọ̀rúnmìlà ni ó kọ́kọ́ lo 'Google' láàgbáyé
[EX A]: Entertainment
[EX Q]: Ìjàmbá Eko: Èèyàn méjì dàwát... | Entertainment
| 6 | NIv2 | task612_yorubabbc_classification | fs_opt | [
-0.2851889729499817,
-0.08116615563631058,
-0.14426741003990173,
0.3106616139411926,
-0.13302293419837952,
0.0004296302795410156,
-0.12424642592668533,
-0.21363848447799683,
0.06005284562706947,
-0.02510373480618,
0.19973738491535187,
0.16594812273979187,
-0.9532675743103027,
0.03007854521... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
対照的にウォール街での占拠行動から３年後不平等に関する世界的規模の対話が誘発されましたが原因となった政治は変わっていないのです
| Em contraste, três anos depois de o Occupy ter dado início à conversa global sobre a desigualdade, as políticas que lhe deram início ainda estão em vigor. | 5 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.25035256147384644,
0.9020817279815674,
0.14018894731998444,
-0.37795478105545044,
-0.5990952253341675,
-0.14055651426315308,
-0.4484456777572632,
0.8441020846366882,
0.27205586433410645,
-0.09218129515647888,
-0.1191369891166687,
0.5722687244415283,
-0.5067489743232727,
-0.0324238315224... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Example input: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Example output: Why? Because that profit allows whatever solution we've created to be infini... | A rating can range from a so-called AAA, which means it's a top-performing product, and it can go down to the level of the so-called BBB-, which means it's a fairly risky investment. | 3 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.6808408498764038,
0.6097186803817749,
0.21795493364334106,
-0.03917926177382469,
-0.18724149465560913,
-0.816189169883728,
0.20956826210021973,
1.5211310386657715,
0.28238099813461304,
0.5197667479515076,
-0.20857509970664978,
0.9317026138305664,
-0.7517075538635254,
-0.2693536281585693... |
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
イスラエルは核兵器の所持を認めることも否定することもしなかったが、世界で6位の備蓄量があると思われていて、外部の多くは彼らの備蓄量を200〜300... | Israel has never confirmed nor denied that it has nuclear weapons but is believed to have the world's sixth largest stockpile of the devices, with most outside estimates putting their stockpile in the low hundreds. | 0 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
0.30993011593818665,
0.689992368221283,
0.7966263890266418,
-0.4423511326313019,
-0.22261452674865723,
-0.46790650486946106,
1.3395848274230957,
0.5625214576721191,
0.21165308356285095,
-0.2357809692621231,
-0.741492748260498,
0.46323060989379883,
-1.4132777452468872,
-0.10295826196670532,... |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
One example is below.
Q: ['q', '31', 'a', 'd', '53', '85', 'p', '77']
A: 1, 3, 5, 7, 8
Rationale: Here, the numbers in the list are '31', '53', '85... | 0, 1, 2, 3, 4, 6, 7, 9 | 9 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | fs_opt | [
-0.26416367292404175,
0.06797909736633301,
-0.6013638973236084,
-0.9514206647872925,
0.059490568935871124,
0.2473427951335907,
0.918756365776062,
-0.012187274172902107,
-0.42144277691841125,
0.4337272644042969,
-0.526634931564331,
-0.3790571093559265,
-0.5414748787879944,
-0.25524789094924... |
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. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
(CNN) An Australian senator with close ties... | (A)
| 0 | NIv2 | task302_record_classification | fs_opt | [
0.3581584692001343,
-0.27715593576431274,
-0.2732738256454468,
0.08957329392433167,
0.24591612815856934,
0.07003848254680634,
0.4886133670806885,
0.8364050388336182,
0.013865158893167973,
0.801162600517273,
0.0006753047928214073,
0.5254135131835938,
-0.33583974838256836,
0.5068749189376831... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
Example Input: ['c', 'x', 'T', 'i', '4949', '1441', '2903', '3437', '9361', ... | 15
| 3 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
0.3742017447948456,
0.15453049540519714,
-0.45367175340652466,
-0.17033901810646057,
0.15141791105270386,
-0.6941226124763489,
0.7109923362731934,
0.4134204089641571,
-0.48696279525756836,
0.30361658334732056,
-0.5425154566764832,
0.5161135792732239,
-0.10667429864406586,
0.222477674484252... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | select the rows whose written by record fuzzily matches to lucy watkins . there is only one such row in the table . the title record of this unqiue row is sweet dreams .
| 3 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.101326122879982,
-0.20166124403476715,
-0.3804146647453308,
0.123837411403656,
0.18609464168548584,
-0.4395381212234497,
0.5131111145019531,
0.3617895245552063,
0.19336269795894623,
-0.28116777539253235,
-0.3849688172340393,
0.008780339732766151,
0.18986523151397705,
0.4795057773590088,
... |
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, given a sentence in the English language, your task is to convert it into the Malay language.
In an escalating controversy that has contributed to Italian Prime Minister Silvio Berlusc... | Perjanjian tersebut dilaporkan bernilai CAD2.2 bilion dalam transaksi tunai. | 0 | NIv2 | task553_alt_translation_en_ma | fs_opt | [
-0.26921355724334717,
0.07421839237213135,
-0.563423216342926,
-0.19286109507083893,
-0.27930352091789246,
0.7056758403778076,
1.2170813083648682,
0.42115452885627747,
0.30205559730529785,
-0.28251272439956665,
-0.34788617491722107,
0.35614246129989624,
-0.07211445271968842,
1.018333077430... |
Teacher: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 que... | purpose | 6 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.7637149095535278,
0.31600069999694824,
0.009683423675596714,
-0.5669316053390503,
-0.04547514393925667,
-0.14449942111968994,
1.0657743215560913,
0.7445642352104187,
0.4530913233757019,
-0.17852512001991272,
-0.6922481060028076,
0.2769352197647095,
-0.4710671901702881,
-0.16668200492858... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | There is a dog walking down the street.
****
| 4 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
-0.7008877992630005,
0.7427439093589783,
-0.037861645221710205,
-0.5441639423370361,
-0.03264101222157478,
-0.5031534433364868,
0.06032885983586311,
0.45798414945602417,
0.25465327501296997,
-0.7420241832733154,
-0.48542216420173645,
-0.6348183155059814,
-0.5387943983078003,
0.005699731875... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | Both led to Mysore .
| 5 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.17975017428398132,
0.7681607007980347,
-0.3851053714752197,
0.6878179311752319,
0.42109641432762146,
-0.30606645345687866,
0.0839870497584343,
1.0962404012680054,
-0.5739585757255554,
0.2871236205101013,
-0.134513258934021,
0.21538342535495758,
-0.2686161398887634,
-0.19007445871829987,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Input: Consider Input: (تشویق حاضرین) و ما مرتبا آزمایش می کردیم ، چون در حین آزمایش ها نکته های مهمی را یاد می گرفتیم ، و بار ها و بار ها تکرار می کردیم.
Output: (Applausi) Lo abbiamo testato sistematicamente sul campo, pe... | Output: Una volta ce l'avevamo, il Saturn V.
| 2 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.36268240213394165,
0.43341439962387085,
-0.4187987446784973,
-0.22861644625663757,
-0.27343863248825073,
-0.40946322679519653,
0.5750503540039062,
0.39728933572769165,
0.314750999212265,
-0.06796383857727051,
-1.1546478271484375,
0.5320241451263428,
-0.31185948848724365,
0.2999218106269... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC... | None | 9 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.3897102475166321,
0.29399895668029785,
0.08890537917613983,
-0.2187015861272812,
-0.39476799964904785,
-0.7358608245849609,
1.1388543844223022,
-0.14931446313858032,
0.6252483129501343,
-0.147086039185524,
-0.8785891532897949,
0.41288837790489197,
-0.018768053501844406,
-0.1785379648208... |
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