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 are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Sentence: Th... | Unidentifiable
| 0 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-0.8789064884185791,
0.5393273830413818,
0.2797894775867462,
-0.9230687618255615,
0.11605122685432434,
-0.1845596581697464,
0.2407207489013672,
0.8407357931137085,
0.8203374743461609,
0.05276980251073837,
-0.8672659397125244,
-0.06059260666370392,
-0.18161413073539734,
-0.1958208978176117,... |
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 ... | turn opposite left thrice after look opposite right thrice | 3 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.4811795949935913,
0.6384739875793457,
-0.2682752013206482,
-0.09014145284891129,
0.05135054513812065,
0.31346678733825684,
0.02328154817223549,
0.9897997975349426,
-0.5615661144256592,
-0.15545865893363953,
-0.7769989967346191,
-0.407527893781662,
-0.7272570729255676,
-0.1173576563596725... |
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Example input: فتوسنتز فرایندی زیستشیمیایی است که در آن، انرژی نورانی خورشید توس... | True | 3 | NIv2 | task396_persianqa_classification | fs_opt | [
0.009881824254989624,
0.21012482047080994,
-0.4323487877845764,
0.04219933971762657,
0.02089296095073223,
-0.2321479171514511,
0.3984222114086151,
0.8663104176521301,
0.05186871066689491,
0.17990240454673767,
-0.8341202735900879,
0.1960689127445221,
-0.5961047410964966,
0.37908172607421875... |
In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.
Z... | Van: B-PER, de: I-PER, Wouwer: I-PER
| 0 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | fs_opt | [
-0.19198653101921082,
0.638062059879303,
0.15773296356201172,
-0.008006524294614792,
-0.6965897083282471,
-0.38339948654174805,
1.9190696477890015,
-0.05148474872112274,
0.0331512913107872,
-0.4625334143638611,
-0.7179585695266724,
0.12248916923999786,
-0.18796071410179138,
0.0471004657447... |
Detailed Instructions: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Q: @anonymized_account Popieram. Dobrze wyedukowana młodzież na rozpoczęciu kolejnego roku szkolnego Dudzie nakopie i spuści że schodów.
A: | 1 | 9 | NIv2 | task838_cdt_classification | zs_opt | [
-1.3248472213745117,
1.1012396812438965,
0.36990630626678467,
0.5688897967338562,
-0.2499450147151947,
-0.062440671026706696,
0.7257314324378967,
0.04169606417417526,
0.08286827802658081,
-0.08521552383899689,
-0.24961736798286438,
-0.12945613265037537,
-0.032879073172807693,
-0.0501782149... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Q: “Não propriamente. Todos temos empregos de reserva em vista. ”
A: | "Not exactly. We've all lined up backup jobs." | 4 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
0.4034164547920227,
1.2138659954071045,
0.1263994425535202,
-0.33133143186569214,
-0.6468806862831116,
-1.0233359336853027,
0.04615411162376404,
0.13734951615333557,
1.0171325206756592,
-0.392483115196228,
0.7391645312309265,
0.30301541090011597,
-0.2859199643135071,
0.22776955366134644,
... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provide... | I called the Doctor. | 6 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.4458024799823761,
0.047766342759132385,
-0.5174834728240967,
0.8532506227493286,
0.5556806325912476,
-1.216329574584961,
-0.00842919759452343,
0.8342494964599609,
-0.3917441964149475,
-0.29724550247192383,
-0.7099974155426025,
-0.012927793897688389,
-0.7834357023239136,
0.031877417117357... |
Detailed Instructions: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Problem:Context: The Caribbean Sea is a sea of the Atlantic Ocean in the tr... | species | 8 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.6754595041275024,
0.06668597459793091,
-1.0852088928222656,
-0.14871157705783844,
0.21045878529548645,
-0.41134288907051086,
0.876595139503479,
0.765304446220398,
-0.5303142666816711,
0.5910753011703491,
0.6550464630126953,
-0.08094023168087006,
-0.6302468776702881,
0.31953299045562744,
... |
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Example Input: Context: Captain in a blue dress. John Barrowman at DragonCon 2015 @Team_Barrowman FTW!!!— Jobie (@JobieSan) September 7, 2015 Questi... | over 2000
| 3 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
-0.5952728986740112,
0.3242121636867523,
-0.5023619532585144,
-0.3972417414188385,
-0.30404138565063477,
-0.16398830711841583,
0.12687040865421295,
0.23474574089050293,
-0.2568834125995636,
0.03893415629863739,
-0.48783785104751587,
0.11046232283115387,
-0.05603794753551483,
0.453625261783... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Napisała "" Znajomych z pociągu "" i "" Utalentowanego pana Ripleya "", książki o zazdrości, która mąci umysł. W jej zasięgu granica między rzecz... | É a autora de "" O Desconhecido do Norte-Expresso "" e de "" O Talentoso Sr. Ripley "", livros que são totalmente sobre como a inveja desordena as nossas mentes, e sobre como quando nos encontramos nessa esfera, no domínio da inveja, a membrana entre o que é e o que poderia ser pode ser rompida num instante. | 1 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-1.3861501216888428,
1.205414056777954,
0.32703080773353577,
-0.356113076210022,
-0.4256558418273926,
0.4306407868862152,
0.8168140053749084,
-0.12306343764066696,
0.4581381380558014,
-0.9510389566421509,
-0.6120253205299377,
-0.033531274646520615,
-0.4399614930152893,
0.5383882522583008,
... |
Instructions: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Input: What is the ethnicity of 80 % of the population in the country that has Minsk as its capitol and ranked 4th at the 2010 Acrobatic Gymnastics ... | Belarusian | 3 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
0.2973751425743103,
0.9571276903152466,
-0.1003878191113472,
-0.0010736823314800858,
0.00528460368514061,
-0.01089106872677803,
0.7734711170196533,
-0.7449761629104614,
0.17247937619686127,
0.46546706557273865,
-0.36767324805259705,
1.0071990489959717,
-0.8953819870948792,
0.77945303916931... |
In medical studies, treatments are tested within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that give information about the participants of the study. You should list the phrases in the same order that they appear in the text, separated by com... | not found | 0 | NIv2 | task179_participant_extraction | zs_opt | [
-0.40931540727615356,
-0.08146964758634567,
-0.5870451927185059,
-1.0586402416229248,
0.09505724906921387,
-0.6609905958175659,
0.6412824988365173,
0.8318100571632385,
-0.03759875148534775,
0.8954615592956543,
-0.3936808407306671,
0.0031204221304506063,
-0.19558191299438477,
0.053727447986... |
Detailed Instructions: Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
See one example below:
Problem: Párrafo: Martín Lutero se casó con Katharina von Bora, una ... | julio de 1961 | 4 | NIv2 | task1610_xquad_es_answer_generation | fs_opt | [
0.6661192774772644,
0.27810317277908325,
-0.3447224497795105,
-0.006615974009037018,
0.549933671951294,
-0.029483690857887268,
0.351820170879364,
0.8625020980834961,
-0.07215219736099243,
0.030992500483989716,
0.30590683221817017,
0.5165520906448364,
-0.8356128931045532,
0.6530289649963379... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Input: Consider Input: Paragraph: The rapid emergence ... | Output: True
| 2 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.15966877341270447,
0.5898358821868896,
-0.3250829875469208,
-0.24509283900260925,
0.37135049700737,
-0.23212671279907227,
0.7571413516998291,
0.8897914886474609,
-0.000013465527445077896,
0.20187847316265106,
-0.7419354915618896,
-0.06287839263677597,
-0.5200442671775818,
0.3116728961467... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place suggeste... | You are looking for an Indian restaurant and it should have expensive pricerange. Make sure you get the phone number and area.
| 1 | NIv2 | task1499_dstc3_summarization | fs_opt | [
0.5644233822822571,
0.14138585329055786,
-0.2965553104877472,
-0.048429228365421295,
0.3287543058395386,
-0.5288292169570923,
0.5437501072883606,
0.7498387098312378,
-0.4375869333744049,
0.18657179176807404,
0.5545895099639893,
0.0748271569609642,
-0.510800302028656,
0.045441992580890656,
... |
Given the task definition and input, reply with output. In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Context_1 : Cecil Ralph "Tiny" Thomp... | The player that scored 50 goals during the 1993–94 Boston Bruins season was inducted into the Hockey Hall of Fame in what year? | 5 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.8358025550842285,
0.37290358543395996,
-0.38912075757980347,
0.42704907059669495,
0.877068281173706,
-0.46010535955429077,
0.7901715636253357,
0.6968917846679688,
0.19128641486167908,
0.010912888683378696,
0.052283935248851776,
0.9127442240715027,
-0.48266398906707764,
0.3657780587673187... |
Detailed Instructions: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in ... | #1 return dogs
#2 return the grass
#3 return #1 in #2
#4 return mouth of #3
#5 return ball
#6 return #5 that is red
#7 return #3 where #4 has #6 in
#8 return number of #3
#9 return number of #7
#10 return if #8 is equal to four
#11 return if #9 is equal to one
#12 return if both #10 and #11 are t... | 8 | NIv2 | task176_break_decompose_questions | zs_opt | [
1.0590848922729492,
-0.26312169432640076,
-0.8104687333106995,
0.5406484603881836,
0.3392903804779053,
-0.14012621343135834,
1.3456416130065918,
0.49149706959724426,
-0.47676944732666016,
0.26500487327575684,
-0.3956657648086548,
-0.22164303064346313,
0.2114056646823883,
0.5271655321121216... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Problem:why don't the kids on my street have msn or something to play on instead of enjoying themselves outside #bitter #shush
... | Angry | 8 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | zs_opt | [
-1.3447265625,
0.4113263785839081,
0.49431324005126953,
-0.6636597514152527,
-0.14976027607917786,
-0.3884521722793579,
0.26877063512802124,
0.4685904085636139,
0.6415867805480957,
0.5493580102920532,
0.26475268602371216,
0.3505721092224121,
-0.7955424785614014,
-0.4040934145450592,
-0.5... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Example Input: En TED, prolifera a brillantez.
Example Output: Da TED l'eccellenza è dilagante.
Example Input: No seguinte modo, Rezero é pasivo e o podemos mover darredor.
Example Output: Nella prossima modalità, Rezer... | anzi, non leggo quasi per niente.
| 3 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.7993896007537842,
0.5773938894271851,
0.20026107132434845,
-0.5043883919715881,
-0.26282960176467896,
-0.10842102766036987,
0.7702795267105103,
1.1866886615753174,
-0.5012590885162354,
-0.27839529514312744,
-0.3298170566558838,
-0.020359044894576073,
-0.943400502204895,
0.36365795135498... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Q: Abstract: DNA polymerases mu (pol mu), lambda (pol lambda), and terminal deoxynucleotidyltransferase (TdT) are enzymes of the pol X fa... | no
****
| 4 | NIv2 | task1587_scifact_classification | fs_opt | [
0.10786451399326324,
0.16173461079597473,
-0.6238542199134827,
-0.3517717123031616,
0.407895028591156,
-0.3886715769767761,
1.434044361114502,
0.8190609216690063,
-0.23398613929748535,
0.6169150471687317,
-0.027058091014623642,
-0.028600987046957016,
-0.539313793182373,
0.5198670029640198,... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Q: כעת הצעיר הופך אומלל.
A: | O rostro novo tórnase infeliz. | 9 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.1286633163690567,
1.4630430936813354,
0.029357414692640305,
-1.6667240858078003,
-0.46001195907592773,
-0.6541695594787598,
0.09835894405841827,
0.5325015783309937,
0.7673490047454834,
-0.2628764510154724,
-0.37347152829170227,
0.2587969899177551,
-0.4083029627799988,
-0.297617465257644... |
You are given a statement written in Kannada. 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 .
Example Input: Statement: ಯಾಣ ದಟ್ಟವಾದ ಕಲ್ಲು ಬಂಡೆ ಅರಣ್ಯ ಪ್ರದೇಶದಿಂದ ಕೂಡಿದ ಹಳ್ಳಿ. ಇದು ಕುಮಟಾ ತಾಲೂಕು ಉತ್ತರಕನ್ನಡ ಜಿಲ್ಲ... | ಸೆರ್ಬಿಯ
| 3 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.3943541646003723,
0.703588604927063,
-0.06310057640075684,
-0.020080091431736946,
0.6134514808654785,
-1.0926858186721802,
0.13301712274551392,
1.525308609008789,
-0.17319506406784058,
-0.3504496216773987,
-0.22259071469306946,
0.3755834102630615,
-0.17547467350959778,
-0.376984715461730... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location ... | None | 9 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
-0.0799761563539505,
0.5165432691574097,
0.01324797235429287,
-0.06866812705993652,
-0.0910281091928482,
0.13238081336021423,
0.31725800037384033,
0.24272170662879944,
0.4977121651172638,
-0.31233614683151245,
-0.3418324589729309,
0.24784865975379944,
0.10645963251590729,
0.073200225830078... |
Detailed Instructions: This task is to translate the English language Input to Telugu Language Output
Q: EXW Price: US $6.77-$7.22/pieces
A: | EXW ధర: సంయుక్త $ 6.77- $ 7.22 / ముక్కలు | 9 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
-0.7867187261581421,
0.25214165449142456,
-0.20064124464988708,
1.2017123699188232,
1.133914589881897,
-0.45272862911224365,
-0.7316861152648926,
0.3615013360977173,
0.008957644924521446,
-0.5704876184463501,
0.2923227548599243,
0.45875284075737,
-0.11704792827367783,
0.1236066073179245,
... |
Detailed Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Problem:Expresses the sense of the Congress that: (1) consumers should immediately ... | A bill instituting a Federal fuels tax holiday. | 8 | NIv2 | task1659_title_generation | zs_opt | [
-1.2856049537658691,
0.4322658181190491,
-0.1496531218290329,
-0.2346658706665039,
-0.17789119482040405,
-1.01189386844635,
0.8164587616920471,
0.884270191192627,
-0.35113459825515747,
0.8938751816749573,
-0.2605053782463074,
-0.059759508818387985,
-0.0845194160938263,
-0.3703726828098297,... |
Definition: 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.
Input: Question: Through what method or methods of fertilization do amphibians sexually reproduce? Answer: extern... | Amphibians sexually reproduce through external or internal fertilization. | 2 | NIv2 | task1556_scitail_passage_generation | zs_opt | [
-0.4539036154747009,
0.4188123345375061,
0.06422171741724014,
0.2699057459831238,
-1.0883264541625977,
0.09456152468919754,
-0.3507554829120636,
0.4168015122413635,
-0.12963232398033142,
-0.1416356861591339,
-1.1192817687988281,
0.16736796498298645,
-0.9503173232078552,
0.3716174066066742,... |
Detailed Instructions: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/exi... | Ronnie's non-tidied a new laptop. | 4 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.682697057723999,
0.180002361536026,
-0.4293321371078491,
0.2620692849159241,
-0.05874606966972351,
-0.22489133477210999,
0.5255218148231506,
0.7406628131866455,
-0.39426612854003906,
-0.2655424475669861,
-0.26486459374427795,
0.11792926490306854,
-0.4923725128173828,
-0.16053946316242218... |
You will be given a definition of a task first, then some input of the task.
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 ... | weakener | 1 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
0.1886959820985794,
0.19962719082832336,
-0.4008166790008545,
0.13142886757850647,
-0.05412226915359497,
-0.8620505928993225,
1.1169744729995728,
1.2238363027572632,
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-0.26912879943847656,
-1.0639212131500244,
-0.1735418736934662,
-0.60890132188797,
-0.14081914722919464,... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'STEM_BASED_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO... | 6 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.3791849613189697,
-0.3026391863822937,
-0.0197858028113842,
-0.399170845746994,
0.6470267176628113,
0.293434202671051,
0.9778450727462769,
1.0972633361816406,
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-0.15326017141342163,
0.20787836611270905,
-0.08476462960243225,
-0.9103573560714722,
0.1405787318944931,
... |
Detailed Instructions: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Problem:It's worth it.
Solution: | Can you afford the expensive rent? | 8 | NIv2 | task568_circa_question_generation | zs_opt | [
0.08849826455116272,
0.5177565813064575,
-0.0798947662115097,
0.3358929753303528,
0.1305251121520996,
-1.5597484111785889,
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-0.20754685997962952,
-0.5453106760978699,
0.04847055673599243,
-0.9051856398582458,
0.4362792372703552,
... |
Teacher: In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Teacher: Now, understand the p... | Yes | 2 | NIv2 | task310_race_classification | fs_opt | [
0.06890163570642471,
-0.24556034803390503,
-0.03298543021082878,
-0.22914044559001923,
0.38107794523239136,
-0.38391393423080444,
0.797753632068634,
0.9314497709274292,
-0.5526984930038452,
0.04864969849586487,
0.09390027821063995,
0.16530321538448334,
-0.492147296667099,
0.010061943903565... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
One example: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Solution is here: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy ... | No dude en investigarme si eso ayuda. | 6 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.14310139417648315,
0.3913208246231079,
-0.6555541753768921,
0.06378885358572006,
-0.16483363509178162,
0.17905890941619873,
0.5915350914001465,
-0.0214238204061985,
-0.07013736665248871,
-0.301236629486084,
-0.9121965169906616,
0.25883668661117554,
0.02949981950223446,
-0.25575226545333... |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Example: Sentence: Jacob and Benny are squatting at the gym. Jacob has thin frail legs and Benny has big strong legs. Quest... | Solution: steel sheet | 5 | NIv2 | task1378_quarel_correct_answer_generation | fs_opt | [
-0.5628318190574646,
0.8670756220817566,
-0.4434926509857178,
-0.5282304286956787,
-0.26798173785209656,
-0.22157752513885498,
0.7655536532402039,
0.16383787989616394,
0.40141135454177856,
-0.10354433953762054,
-0.7930262088775635,
0.49846580624580383,
-0.24617108702659607,
0.2043312489986... |
instruction:
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
question:
This is not in question.
answer:
E... | English
| 9 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
0.32121869921684265,
1.1217235326766968,
0.8412070274353027,
-0.27381598949432373,
-0.15901505947113037,
-0.5532901287078857,
0.7772078514099121,
0.5885219573974609,
0.9306068420410156,
-0.446810245513916,
0.17845167219638824,
0.26408082246780396,
-0.013226889073848724,
-0.6541377305984497... |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Ex Input:
[header] How to address guests on escort cards [title] Address individual guests using t... | B
| 1 | NIv2 | task1389_hellaswag_completion | fs_opt | [
0.8843581080436707,
0.688224732875824,
-0.6556006669998169,
-0.3603086471557617,
0.27362775802612305,
-0.5737584829330444,
1.1941642761230469,
0.6927520036697388,
-0.14928707480430603,
0.37910184264183044,
0.2971450090408325,
0.37038516998291016,
0.2666764259338379,
-0.45153865218162537,
... |
In this task, you are given a sentence in the French language. Your task is to convert it to Slovak language.
One example: Abilify est un médicament qui contient le principe actif aripiprazole.
Solution is here: Abilify je liek, ktorého účinnou látkou je aripiprazol.
Explanation: Translation of French sentence to Slova... | Neutropénia (G4: | 6 | NIv2 | task762_emea_fr_sk_translation | fs_opt | [
-0.5172253847122192,
0.39015984535217285,
0.22799983620643616,
-0.4131067395210266,
-0.11774902790784836,
-0.5169805288314819,
1.8350523710250854,
-0.3812406659126282,
0.8077455163002014,
-0.33768999576568604,
-1.0479094982147217,
0.45596829056739807,
-0.8613308668136597,
0.250892400741577... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
A ideia é muito, muito simples.
Solution: このアイデアはとてもシンプルで
Why? The Portugese sentence is corre... | 伝統的な暮らし方に関する事です | 0 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.5419554710388184,
0.5911455750465393,
0.08728457987308502,
-0.5657463073730469,
-0.008838366717100143,
-0.6642205119132996,
0.9204655289649963,
0.47846123576164246,
0.19453644752502441,
-0.5041465163230896,
-0.7236734628677368,
0.019832395017147064,
-0.6889084577560425,
0.25002759695053... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Let me give you an examp... | Sounds like true love, maybe you guys should visit us. We have great weather. | 8 | NIv2 | task1729_personachat_generate_next | fs_opt | [
0.3441232442855835,
-0.24319346249103546,
-0.08570007979869843,
0.004960729740560055,
-0.15247592329978943,
0.05129200220108032,
0.7008234262466431,
0.12302806228399277,
0.10379686206579208,
-0.6371761560440063,
-0.28140053153038025,
0.17777292430400848,
-0.3851144313812256,
0.159641385078... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Problem:پس مهم ترین سوال در پایان این است که از نمونه های نظیر این و با توجه به پیشینۀ کلیِ تاریخی خودمان چه چیزی را در حقیقت یاد می گیریم ؟
Solution: | So, I think the most important question at the end is, what do we actually learn from specimens like this and from our past in general? | 8 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.5331589579582214,
1.1733222007751465,
0.2397668957710266,
-0.02580159530043602,
-0.5997089147567749,
-0.48051589727401733,
0.927021861076355,
0.29299235343933105,
0.08199165761470795,
-0.21627625823020935,
-0.43660616874694824,
0.0016881092451512814,
-0.5251730680465698,
0.4957850575447... |
Part 1. Definition
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might... | diphenhydramine | 7 | NIv2 | task1447_drug_extraction_ade | fs_opt | [
0.8605974316596985,
0.19028697907924652,
-0.3217425048351288,
-1.0541353225708008,
-0.14785712957382202,
-0.7884628176689148,
0.8529625535011292,
0.395613431930542,
0.4866248071193695,
-0.7217216491699219,
-1.1548614501953125,
-0.14714792370796204,
-0.7377945184707642,
-0.4670203626155853,... |
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
One example is ... | B | 9 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.842301607131958,
0.6088950634002686,
-0.4836542308330536,
0.09277009963989258,
-0.15794572234153748,
-0.5232343673706055,
0.4377208948135376,
0.35325971245765686,
0.3045436143875122,
0.5936901569366455,
-0.3659913241863251,
0.42099493741989136,
0.08515748381614685,
-0.5880705714225769,
... |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
One example: concept: Cleveland Ohio answers: ['North American Eastern Time Zone']
Solution is here: what time zone am i in cleveland ohio?
Explanation: The output is correct based on the ... | who plays bella on twilight? | 6 | NIv2 | task1602_webquestion_question_genreation | fs_opt | [
-0.3334534764289856,
0.6872105598449707,
-0.9247121214866638,
0.06812134385108948,
0.16144344210624695,
-0.8289576768875122,
-0.17917928099632263,
0.7579463720321655,
0.3972984552383423,
0.038336314260959625,
0.2377924770116806,
-0.2651972770690918,
-0.4398851990699768,
-0.2604557573795318... |
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.
[Q]: He aquí una posición de base, difícilmente negociable, dado que afecta a la ... | Spanish
| 5 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
0.1754678338766098,
0.6008582711219788,
1.099232792854309,
-0.33423107862472534,
0.1403932273387909,
-0.8425770998001099,
0.34115463495254517,
1.1420066356658936,
0.37639784812927246,
-0.29209208488464355,
0.11076661199331284,
0.2216370850801468,
-0.037109535187482834,
-0.7076982259750366,... |
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 are commo... | No
| 0 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.7583960294723511,
-0.4437597990036011,
-0.7144693732261658,
0.23637396097183228,
-0.08998340368270874,
-0.5385407209396362,
0.7424750328063965,
0.600156307220459,
-0.39940282702445984,
0.11111873388290405,
-0.25468406081199646,
0.16331057250499725,
0.11231179535388947,
-0.177750796079635... |
In this task, given a sentence in the Japanese language, your task is to convert it into the English language.
Q: 米国の国務省スポークスマン、ショーン・マコーマックは、レポートを拒絶し、それが「なんらかの新しいレトリックに包まれた同じ使い古された報告書」の一例であったと述べた。
A: | US State Department spokesman Sean McCormack has rejected the report and stated that it was an example of the "same old reports wrapped up in some new rhetoric." | 4 | NIv2 | task542_alt_translation_ja_en | zs_opt | [
-0.042237766087055206,
0.7160683870315552,
0.09766020625829697,
-1.0365829467773438,
0.5042893886566162,
-0.6780755519866943,
-0.17689940333366394,
0.695021390914917,
-0.028577353805303574,
-0.2884288430213928,
0.5361312627792358,
-0.07300034165382385,
-0.6314781904220581,
-0.3709260225296... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Example input: I have bought several of the Vitality canned dog food p... | 4 | 3 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
-0.14633116126060486,
-0.43489235639572144,
-0.09747639298439026,
-0.26914700865745544,
0.33249109983444214,
-0.18952509760856628,
0.7894221544265747,
0.5013577938079834,
-0.30854496359825134,
-0.1064658910036087,
0.016026224941015244,
0.7039591073989868,
-0.6210287809371948,
-0.1399833858... |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
[Q]: Context : Satanikhil massacre refers to the massacre of Bengali Hindu intellectuals on 14 May 1971 on the banks of Satanikhil canal in Dhak... | What is the name of the place where Alfonso d'Avalos Addressing his Troops can be found?
| 5 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.5986849665641785,
0.24959735572338104,
-0.3628126084804535,
0.575835645198822,
-0.15631461143493652,
-0.19847014546394348,
1.2064642906188965,
0.01837599277496338,
0.16884222626686096,
-0.1802416443824768,
-0.40615740418434143,
0.05924045667052269,
-0.8009864687919617,
0.7553408145904541... |
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].
[EX Q]: Verify if the sentiment of the following document towards the entity Brendan Smith is Negative . CHI... | yes
| 6 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-0.5249717235565186,
-0.3376767039299011,
0.18895761668682098,
-0.26010292768478394,
0.20664745569229126,
-1.7608319520950317,
0.7627999186515808,
-0.104769766330719,
0.27469587326049805,
-0.2624228000640869,
-0.07738780230283737,
0.3281707763671875,
-0.37867850065231323,
-0.18581765890121... |
In this task, you will be presented with a question having multiple possible answers in Dutch language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Q: Question: De speler tilde zijn kornet op en liep in ritme, waar was de speler lid van?
Options... | E | 4 | NIv2 | task1133_xcsr_nl_commonsense_mc_classification | zs_opt | [
0.03909480571746826,
0.8462741374969482,
-0.9295127391815186,
0.20295801758766174,
-0.05725201219320297,
-0.3157828450202942,
-0.05705703794956207,
-0.10490961372852325,
-0.07476325333118439,
-0.26685580611228943,
0.26918745040893555,
0.5152702927589417,
-0.13430948555469513,
-0.1998229324... |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that defin... | eq { count { filter_greater { filter_eq { all_rows ; position ; running back } ; round ; 4 } } ; 3 }
| 5 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.43920040130615234,
-0.04321432486176491,
-0.4922972321510315,
0.44727087020874023,
0.29722562432289124,
-0.5991457104682922,
0.5417253971099854,
0.350121408700943,
0.12749844789505005,
-0.22428657114505768,
-0.24973565340042114,
-0.17709071934223175,
-0.18404099345207214,
0.5477584004402... |
Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answ... | My friend like(s) lime juice with Kool Aid >Motivates> My friend tells me lime juice with Kool Aid is good | 3 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.747915506362915,
0.7633726596832275,
0.2518909275531769,
-0.33802178502082825,
-0.018926817923784256,
-0.8042847514152527,
0.7166725993156433,
0.7936782836914062,
-0.2833428382873535,
0.03958957642316818,
-0.4194023609161377,
-0.6960018873214722,
-0.7106221914291382,
0.05718333274126053... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
--------
Question: Article: a nigerian rebel group said tuesday it had blown up and destroyed a royal dutch shell pipeline in the l... | yes
| 7 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.9006062150001526,
0.47042661905288696,
-0.01803927682340145,
-0.03947208821773529,
-0.22109238803386688,
-0.24343985319137573,
0.655976414680481,
0.12141826748847961,
-0.06020759418606758,
0.42607995867729187,
0.10014478117227554,
0.14884737133979797,
-0.7670862674713135,
0.090288817882... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Example: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Output: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و در... | چون که برخلاف اپل ، که آیفون را به هر کسی که آن را بخواهد می فروشد ، نایک پولش را فقط از طریق فروش کتانی های ۲۰۰ دلاری در نمیاورد. | 1 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.49328166246414185,
0.8552474975585938,
-0.21048776805400848,
0.048624441027641296,
0.08425477147102356,
-0.08476467430591583,
0.572854220867157,
0.48126983642578125,
0.17143158614635468,
-0.03660263866186142,
-0.9977483749389648,
-0.056806065142154694,
-0.9831718802452087,
0.000713557819... |
instruction:
In this task your given two statements. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
question:
The bully stuck his foot out in front of his classmate... | cause
| 9 | NIv2 | task828_copa_commonsense_cause_effect | fs_opt | [
0.04997703433036804,
0.8428150415420532,
-0.11971421539783478,
-0.26999783515930176,
-0.2994966506958008,
-0.22645236551761627,
0.22835217416286469,
0.6795189380645752,
0.6134120225906372,
-0.5995720624923706,
-0.6162703037261963,
0.3306303918361664,
-0.9647549390792847,
-0.112247377634048... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
One example: Person1: Are you ready to order , sir ?
Person2: Yes... | 0 | 6 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
-0.19800357520580292,
0.16342109441757202,
0.307849258184433,
-0.1842697709798813,
0.392386794090271,
0.02787749655544758,
0.5953160524368286,
0.13377872109413147,
0.16261813044548035,
0.05162350460886955,
-0.15438596904277802,
-0.6522245407104492,
-0.22060754895210266,
-0.1535656154155731... |
Given the task definition and input, reply with output. Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong)... | EVERYBODY | 5 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
0.016888491809368134,
0.37330546975135803,
-0.2697845995426178,
-0.08707137405872345,
0.08015263825654984,
0.054209500551223755,
0.5961557626724243,
0.5697800517082214,
0.2596174478530884,
-0.4167897701263428,
0.23530098795890808,
0.6100072860717773,
-1.1132988929748535,
-0.092824578285217... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Q: Éso es el nivel visceral.
A: | ذلك هو المستوى المتعمق | 9 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.21733099222183228,
0.10033060610294342,
0.5519202947616577,
-0.7081376314163208,
0.13949918746948242,
0.1474897563457489,
1.1623609066009521,
0.4443705677986145,
0.7331867814064026,
-0.5620402097702026,
-0.39552682638168335,
0.37443867325782776,
-0.4970680773258209,
0.7634168863296509,
... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of strings and you need to concatenate them.
['p', 'none', 'C', 'out', 'x', 'Y', 'capstan,', 's']
Output: | pnoneCoutxYcapstan,s | 1 | NIv2 | task079_conala_concat_strings | zs_opt | [
-0.2620765268802643,
0.4615820646286011,
-0.6524275541305542,
0.40685802698135376,
0.16554997861385345,
-0.05420171096920967,
0.9645200967788696,
0.4477860927581787,
0.4906366467475891,
0.38297951221466064,
-0.1919669806957245,
-0.27176433801651,
-0.03142797201871872,
-0.563153862953186,
... |
Definition: In this task, 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.
Input: I got these to replace the mid-century inspired legs on our leather side chair. These legs matched the style of everything else i... | positive | 2 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.6352624297142029,
-0.4911898672580719,
0.07546046376228333,
-0.0660826712846756,
0.10215245932340622,
0.20881089568138123,
0.8831683993339539,
-0.01864725723862648,
0.24192669987678528,
0.18432000279426575,
0.14087484776973724,
0.03683583065867424,
-0.6888914108276367,
-0.04208036884665... |
Detailed Instructions: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Problem:English: Orina told Reuters the dismissals were "cat-and-mo... | No | 8 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.894568920135498,
0.40320998430252075,
-0.15380002558231354,
0.8121605515480042,
0.10703395307064056,
-0.8370031118392944,
0.21845084428787231,
0.3878627121448517,
-0.19301246106624603,
-0.6561779379844666,
0.2643706798553467,
0.33106881380081177,
-0.47816479206085205,
0.1091189831495285... |
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... | Solution: green_drawer | 5 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.06729046255350113,
-0.6682581901550293,
0.12744170427322388,
0.18380944430828094,
-0.23809586465358734,
-0.5885950326919556,
0.02512778528034687,
0.5905839204788208,
0.01893315464258194,
0.16949233412742615,
-0.03815016895532608,
0.45938482880592346,
0.052622996270656586,
0.1915266662836... |
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 orbital period record of all rows is minimum . the planet record of this row is alpha centauri bb .
****
| 4 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.20091500878334045,
-0.15949352085590363,
-0.40024757385253906,
0.419619619846344,
0.14024105668067932,
-0.5231170058250427,
0.38303929567337036,
0.3666020929813385,
-0.01012679934501648,
-0.2217961549758911,
-0.7588794231414795,
0.28924688696861267,
0.09283176809549332,
0.476286262273788... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Anti-stereotype | 4 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.1411808282136917,
0.9200500249862671,
0.003783507039770484,
0.1435505747795105,
-0.09575344622135162,
0.21656787395477295,
0.5149746537208557,
0.8777352571487427,
0.5477759838104248,
-0.49203798174858093,
-0.722335934638977,
-0.06641565263271332,
-0.6469791531562805,
-0.0391854867339134... |
Detailed Instructions: 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 i... | [0, 0, 504, -50, 0, 640, -425600, -2016, 220] | 8 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.030057577416300774,
0.5686672329902649,
-0.5484830141067505,
-0.1946432888507843,
-0.10456416010856628,
-0.14239133894443512,
1.0386629104614258,
0.3395318388938904,
-0.0982641875743866,
-0.16374284029006958,
-0.7049353718757629,
0.41277050971984863,
-1.224708914756775,
-0.0679919719696... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
(קול) ג 'ים: (בלתי מובן) והוספנו צבעים בשני המוחות להצביע על איזורים שמגיבים באופן דומה בין האנשים.
Output: | (Audio) JO: (Inintelixible) Poñemos cores nos dous cerebros para indicar as áreas que responden de modo moi similar en todo o mundo. | 1 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-1.0054361820220947,
0.1541435420513153,
0.06397939473390579,
-0.7599531412124634,
-0.006946156732738018,
0.0019424424972385168,
0.35237371921539307,
-0.2012132704257965,
0.08261502534151077,
-0.3543878197669983,
-0.20792362093925476,
-0.3089578151702881,
-0.6312382221221924,
0.14466471970... |
Detailed Instructions: Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Q: Context: CADASIL is a cerebrovascular disease caused by mutations in the NOTCH3 gene. Most mutations result in ... | cysteine | 9 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
0.34105566143989563,
-0.44325724244117737,
0.11922364681959152,
-0.39368438720703125,
-0.06749438494443893,
-0.3113565146923065,
0.719333291053772,
1.276402473449707,
-0.4243801236152649,
-0.3216564953327179,
-0.5310966968536377,
0.32892346382141113,
-1.1764254570007324,
0.1758493483066558... |
Detailed Instructions: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Q: Context: Opel was a... | Answer: 21 January 1862 | 9 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.42937761545181274,
0.5771117210388184,
0.3930168151855469,
0.5679752230644226,
-0.21932967007160187,
-0.054855771362781525,
0.7827231884002686,
0.2780052423477173,
0.6775386333465576,
0.29314056038856506,
-0.1406257450580597,
0.19890424609184265,
-0.14274048805236816,
-0.357313573360443... |
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.
We must show leadership as must the media, educational institutions and the churc... | Spanish
| 0 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
0.058272551745176315,
0.9374973773956299,
0.7594525814056396,
-0.5784063339233398,
-0.004548906814306974,
-0.8662306666374207,
0.46471285820007324,
0.7230527997016907,
0.020522326231002808,
-0.24505776166915894,
0.03128775581717491,
0.01769964210689068,
-0.4744252562522888,
-0.488339155912... |
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 numerical elements in the given list. Return 0 if no numerical element in the list.
Let me give you an example: ['238', 'h', '92', 'U', '2799']
The answer to this ex... | 12 | 8 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
0.34022554755210876,
0.1023491621017456,
-0.5776374340057373,
-0.5031207799911499,
0.25754398107528687,
-0.7669253349304199,
0.530260443687439,
0.16148772835731506,
-0.8434767127037048,
0.4910724461078644,
-0.7855169773101807,
0.6568987369537354,
-0.022752301767468452,
0.5125790238380432,
... |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
One example: ਪੱਛਮ ਤੋਂ ਪੂਰਬ ਤੱਕ ਊਰਜਾ ਖਪਤ ਵਿੱਚ ਇੱਕ ਤਬਦੀਲੀ ਆਈ ਹੈ।
Solution is here: പടിഞ്ഞാറ് നിന്ന് കിഴക്കോട്ട് energy ർജ്ജ ഉപഭോഗത്തിൽ മാറ്റം വരുത്തിയി... | -അപകടാടിസ്ഥാനത്തിലുള്ള സുരക്ഷാ പരിപാലന സംവിധാനം നടപ്പാക്കുക, പരിശീലനം ലഭ്യമാക്കുക. | 6 | NIv2 | task1006_pib_translation_punjabi_malayalam | fs_opt | [
0.49080711603164673,
0.6192494630813599,
-0.17200180888175964,
-0.9132681488990784,
-0.4802013039588928,
-1.2297345399856567,
0.39949849247932434,
0.7185975313186646,
-0.17463067173957825,
-0.4022672474384308,
-0.500123143196106,
-0.543961763381958,
-0.6764030456542969,
-0.3479636907577514... |
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 the one tha... | b
| 7 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
-0.3386729955673218,
0.1483963429927826,
-0.20411905646324158,
-0.11226901412010193,
0.12626197934150696,
-0.2700190544128418,
0.18134400248527527,
0.9107167720794678,
-0.17644399404525757,
0.14164970815181732,
-0.49241548776626587,
-0.012478858232498169,
-0.16235673427581787,
-0.259117603... |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
One example: Sentence1: Rick grew up in a troubled household. Sent... | B | 6 | NIv2 | task296_storycloze_correct_end_classification | fs_opt | [
0.017664160579442978,
0.5235929489135742,
-0.5290687680244446,
-0.03340999037027359,
0.3832381069660187,
-0.7661757469177246,
0.9200011491775513,
1.216020941734314,
-0.3171904385089874,
0.14336349070072174,
-0.8085589408874512,
0.25630801916122437,
-0.6019377112388611,
-0.18233570456504822... |
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
['c', '9523', 'p', '2465', 't'] | c, p, t | 0 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.17340940237045288,
0.5357277393341064,
-0.4356355667114258,
0.3657341003417969,
0.43360286951065063,
0.03207378089427948,
1.279538869857788,
0.23336373269557953,
-0.42876631021499634,
0.3207085132598877,
-0.4575957953929901,
-0.6333032250404358,
-0.288472056388855,
-0.6258112192153931,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Example: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Example solution: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma un... | Solution: Os dionisíacos non fan equilibrio. | 5 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.49782711267471313,
0.7715771198272705,
0.1450103521347046,
-0.5565466284751892,
-0.4559378921985626,
-0.5825600028038025,
0.5780854225158691,
0.20120207965373993,
-0.49260181188583374,
-0.5512650012969971,
-0.06390385329723358,
0.13339930772781372,
-1.0548427104949951,
-0.30732053518295... |
You will be given a definition of a task first, then some input of the task.
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: a frien... | TIFU by going snorkeling with sea turtles | 1 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
-0.9456504583358765,
0.15868371725082397,
0.42946523427963257,
-0.5513320565223694,
0.39614182710647583,
0.029598630964756012,
0.09747585654258728,
-0.1893349438905716,
0.14163050055503845,
0.22702209651470184,
-0.03832845762372017,
-0.7941784262657166,
-1.075737714767456,
0.00289392424747... |
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 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 re... | Yes | 0 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.6386444568634033,
-0.003854620736092329,
0.10209307074546814,
0.18973909318447113,
-0.03451745584607124,
-0.5069023966789246,
0.8978416919708252,
0.5514673590660095,
-0.6099815964698792,
-0.30413344502449036,
-0.37346336245536804,
-0.49434053897857666,
-0.37929344177246094,
0.02665387094... |
Q: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
[110, 85, 73, 122, 4... | [55, 256, 220, 61, 20, 598, 98, 508] | 7 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.5313817262649536,
0.41004830598831177,
0.06830047070980072,
-0.7669661045074463,
-0.26789456605911255,
-0.5359549522399902,
1.223954677581787,
-0.11630038172006607,
-0.16241030395030975,
0.710930585861206,
-0.5545185804367065,
-0.08841089904308319,
-0.5459349751472473,
-0.17753465473651... |
In this task, you are given music 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.
[Q]: "Bill" is The Man I Knew-Smokey Robinson, R&B at it's Best . The old timers like me ... | NEG
| 5 | NIv2 | task478_cls_english_music_classification | fs_opt | [
0.13234248757362366,
0.03599389269948006,
-0.5079455971717834,
-0.07356439530849457,
1.2067762613296509,
-0.16420209407806396,
1.0380561351776123,
0.8198520541191101,
0.07100691646337509,
0.983798086643219,
0.02922620251774788,
0.09552739560604095,
-1.0395548343658447,
-0.41252878308296204... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
[Q]: Context: MV Isle of Arran is a drive-through ferry owned by Caledonian Maritime Assets Limited and operated on... | 1
| 5 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.2538412809371948,
-0.35970327258110046,
0.40624192357063293,
0.07370144128799438,
0.046773143112659454,
0.06643301248550415,
-0.3695152699947357,
0.6131880879402161,
-0.190205916762352,
-0.009694298729300499,
0.08278857171535492,
-0.23892784118652344,
-0.1278364062309265,
-0.120433561503... |
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Ex Input:
entity: you
before: normal
after: making lists of everything
attr: organization
Ex Output:
organization of you was ... | complexity of vase was bare before and decorated afterwards
| 1 | NIv2 | task1631_openpi_answer_generation | fs_opt | [
-0.06241984665393829,
0.4664124846458435,
-0.4375198483467102,
0.3666728436946869,
-0.3653874099254608,
-1.469136357307434,
-0.19772782921791077,
0.7323282957077026,
0.34382379055023193,
0.27045321464538574,
-0.044937167316675186,
-0.01190603245049715,
-0.49983474612236023,
-0.116176426410... |
Detailed Instructions: In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The... | E | 4 | NIv2 | task534_farstail_entailment | fs_opt | [
-0.39644402265548706,
0.0874149426817894,
-0.11979744583368301,
0.07658716291189194,
-0.18567949533462524,
-0.2278972864151001,
0.6826861500740051,
0.9412057399749756,
0.12039659172296524,
-0.02775377593934536,
-0.3994275629520416,
0.47554564476013184,
-0.5013377666473389,
-0.5916269421577... |
You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Q: Paragraph: In the mesosphere, temperature decreases as altitude increases.
Question: Going higher in the mesosphere, we encounter _____ temperatures.
Choi... | lower | 4 | NIv2 | task1731_quartz_question_answering | zs_opt | [
0.17321914434432983,
-0.17057698965072632,
-0.6136136054992676,
0.7837842702865601,
-0.2737756371498108,
-1.2927137613296509,
-0.3167814016342163,
0.21229517459869385,
-0.19444990158081055,
0.016112666577100754,
-0.2673669159412384,
-0.7760953903198242,
-0.3597826361656189,
0.1610149443149... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | blue_pantry | 3 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.1890643984079361,
0.047495149075984955,
-1.0775865316390991,
0.14395399391651154,
-0.19889843463897705,
-0.46932467818260193,
0.32621943950653076,
0.3694479465484619,
-0.2915012538433075,
-0.046159323304891586,
-0.31422436237335205,
1.1486623287200928,
0.3373863697052002,
-0.050153035670... |
Q: This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentione... | What year was the BIT founded? | 7 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.23137852549552917,
0.22146576642990112,
-0.6794863939285278,
0.3460886478424072,
0.6284931898117065,
-0.105050228536129,
0.18043984472751617,
0.6452527046203613,
0.04501400142908096,
-0.2632486820220947,
-1.2241588830947876,
0.8021945953369141,
-1.3426284790039062,
0.12269619107246399,
... |
instruction:
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You h... | No
| 9 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.462929368019104,
0.285453200340271,
0.12947893142700195,
-0.18945975601673126,
-0.4288409352302551,
-0.5789352655410767,
1.3759121894836426,
0.31244370341300964,
-0.38682061433792114,
-0.7040108442306519,
-0.3970959186553955,
-0.3648160398006439,
-0.8655436038970947,
0.3396705985069275,
... |
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Let me give you an example: In one... | Science | 8 | NIv2 | task521_trivia_question_classification | fs_opt | [
0.33225834369659424,
0.4127265512943268,
0.08927115052938461,
0.19024179875850677,
0.6221044063568115,
0.1304842084646225,
0.5152051448822021,
0.5229120254516602,
0.1737898886203766,
0.415078341960907,
-0.7151464223861694,
0.482507586479187,
-0.9394838809967041,
-0.5041813850402832,
0.48... |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | false | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.1348994970321655,
0.20151256024837494,
0.9345074892044067,
0.38280588388442993,
-0.39435070753097534,
-1.2703747749328613,
0.021636322140693665,
0.6863539218902588,
0.29816490411758423,
0.4844602942466736,
0.07051214575767517,
-0.39987897872924805,
-1.0036168098449707,
-0.84521728754043... |
TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
PROBLEM: Curiosity tamén furou o chan vermello e ensinou outros materiais.
SOLUTION: Curiosity has also drilled in that red soil and brought up other material.
PROBLEM: Non estamos falando de mera casua... | This is the new world we have today in 2010.
| 8 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-1.4141030311584473,
0.77325040102005,
0.23434783518314362,
-0.8048020601272583,
-0.5104383230209351,
-0.3051137626171112,
0.7192391157150269,
0.17609822750091553,
-0.5550277233123779,
-0.11185893416404724,
-0.6571936011314392,
-0.11382518708705902,
-0.02356625348329544,
0.0435424000024795... |
Q: In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the en... | Thankfully the only thing that burned was grass. | 7 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.18232370913028717,
1.2758902311325073,
0.2568444013595581,
-0.8051776885986328,
-0.7472623586654663,
-0.44268733263015747,
1.1982333660125732,
0.33059272170066833,
0.06992718577384949,
-0.7207028865814209,
-0.4042211174964905,
0.5630902051925659,
-0.12361852079629898,
-0.083115041255950... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Q: Comment: I'm not agreei... | Non-threat | 9 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.6642175316810608,
0.9923356771469116,
0.7078880667686462,
-0.014598487876355648,
0.4132617115974426,
-0.12545271217823029,
1.1046960353851318,
1.0106992721557617,
-0.040975421667099,
0.21181495487689972,
0.07056091725826263,
0.2911902666091919,
-0.5598050951957703,
-0.38365375995635986,... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating... | Does cognitive impairment in patients with multiple sclerosis predict worse caregiver 's health-related quality of life? | 4 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.24499358236789703,
0.05802430212497711,
0.3007911145687103,
-0.3020385801792145,
0.628572940826416,
-0.8470186591148376,
0.6407343149185181,
0.882303774356842,
0.013864032924175262,
-0.21807152032852173,
-0.2977738678455353,
-0.19097697734832764,
0.0254823025316,
0.5417020320892334,
-0... |
A question is presented to you in this task, and your job is to write a potentially correct answer.
Example Input: who played the parents in ferris bueller day off?
Example Output: Cindy Pickett
Example Input: who was the real erin brockovich?
Example Output: Environmentalist
Example Input: who started the first per... | Kuwait
| 3 | NIv2 | task1412_web_questions_question_answering | fs_opt | [
-0.8108848333358765,
0.35054224729537964,
-1.123070240020752,
0.22275319695472717,
-0.8516632318496704,
-0.07520604878664017,
0.8903753757476807,
0.16491612792015076,
0.747240424156189,
0.0962999165058136,
-0.5591587424278259,
0.02579975500702858,
-0.46823832392692566,
-0.5471534132957458,... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
[... | Who sang the song I Can't Make You Love Me in 1991?
Bonnie Raitt
| 6 | NIv2 | task671_ambigqa_text_generation | fs_opt | [
-0.6879527568817139,
0.5678045153617859,
0.18398705124855042,
0.39870333671569824,
-0.37293440103530884,
-0.6586215496063232,
0.37853845953941345,
-0.07148043811321259,
-0.8761653304100037,
0.12223866581916809,
-0.4976808428764343,
0.275314599275589,
-0.5173068046569824,
0.4271196722984314... |
Detailed Instructions: In this task, you need to provide the correct option for a given problem from the provided options.
Q: Problem: the ratio of two quantities is 3 to 4 . if each of the quantities is increased 4 and 3 respectively , what is the ratio of these two new quantities ?
Options: a ) 3 / 4 , b ) 8 / 9 , c... | e | 9 | NIv2 | task1421_mathqa_other | zs_opt | [
-0.011035984382033348,
1.2045224905014038,
-0.49349337816238403,
-0.2916560173034668,
-0.9008650183677673,
0.15487131476402283,
1.3868839740753174,
1.1541781425476074,
-0.16476674377918243,
-0.3657630681991577,
-0.9289782047271729,
0.15351732075214386,
0.13956521451473236,
-0.3936211466789... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
See one example below:
Problem: Sentence 1: Next to the ... | no | 4 | NIv2 | task199_mnli_classification | fs_opt | [
-0.5741932392120361,
0.2972422242164612,
0.7141686677932739,
-0.279522567987442,
0.18041133880615234,
-0.8861376047134399,
-0.16716116666793823,
0.7017903327941895,
0.46070921421051025,
0.0981154590845108,
-0.3802686333656311,
-0.8899022340774536,
-0.3337520360946655,
0.05038373917341232,
... |
In this task, you need to Translate Czech text to English.
Vynález se týká kožedělného průmyslu, který vyrábí svrškové usně pro výrobu obuvi. Účelem vynálezu je odstranit tak zvané šednutí filmotvornýoh apretur po jejich nanesení na lícový povrch usní a zvýšit současně lesk povrchové úpravy. Tohoto účinku se dos... | The object of the invention was to find technology the production of concentrated phosphoric \ t fertilizers. This goal is achieved by phosphoric acid is neutralized by reaction with the magnesium raw material, i.e. the oxide or magnesium hydroxide, optionally with one weak acid magnesium salts, etc. Neutralizat... | 0 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
0.348139226436615,
0.20849935710430145,
-0.7110019326210022,
0.30959585309028625,
0.05412362888455391,
-0.3778018355369568,
0.7774860858917236,
1.046444058418274,
-0.14961963891983032,
0.33075758814811707,
-0.5204814672470093,
0.2834833860397339,
-0.4291229546070099,
0.4008854031562805,
... |
Part 1. Definition
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets su... | Neutral | 7 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.31840890645980835,
0.6025412082672119,
-0.08042503893375397,
0.5709266662597656,
-0.378439337015152,
-1.0298068523406982,
0.45479637384414673,
0.5329239964485168,
0.2522963881492615,
0.32385367155075073,
-0.715857744216919,
-0.09253089129924774,
0.07454518973827362,
-0.2613542079925537,
... |
Part 1. Definition
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Part 2. Example
Sentence1: Rick grew up in a troubled household. Sentence2: He never foun... | I did so well that I was able to pay for a car and start a real route. | 7 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.16824540495872498,
0.8496721982955933,
0.2144479751586914,
-0.3755202889442444,
0.06087949126958847,
-0.13778135180473328,
0.5134851932525635,
0.7119386196136475,
0.38096168637275696,
0.03467751294374466,
-0.4140166640281677,
-0.15777558088302612,
-0.627670168876648,
0.13286693394184113... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Kiedy już to wszystko poukładacie, nie ma żadnego powodu, żebyście nie mogli mieć rynku zbytu dla tego wszystkiego, gdzie możecie się szybko pozbywać tych obligacji.
Una vez que tengamos todo esto, no hay razón por la cual n... | Y cada uno de ellos vende electricidad a 20 hogares.
| 0 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.44955217838287354,
0.6395676732063293,
-0.08468832075595856,
-0.5038765668869019,
-0.6270102262496948,
-0.6646954417228699,
0.9638267755508423,
0.6515471935272217,
0.40520232915878296,
-0.8375948667526245,
0.38910311460494995,
0.9491029381752014,
-0.48329299688339233,
0.0094074085354805... |
TASK DEFINITION: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains lang... | Obscene
| 8 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.12532076239585876,
0.22186028957366943,
0.43249398469924927,
-0.1720036268234253,
0.3445335030555725,
-0.2767380475997925,
0.7093149423599243,
0.5666211843490601,
-0.281180739402771,
0.32778099179267883,
0.1857008934020996,
0.293983519077301,
-0.08063982427120209,
-0.8506676554679871,
... |
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