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 |
|---|---|---|---|---|---|---|
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 53. | 9 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.6738943457603455,
0.7163400650024414,
-0.179693341255188,
-0.3051793575286865,
0.23858144879341125,
-1.0860110521316528,
0.8299694657325745,
0.45227524638175964,
0.19081062078475952,
-0.05313856154680252,
-0.41554325819015503,
0.40536215901374817,
-0.7567458152770996,
-0.0456814654171466... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | bymwsTcRltnTZbbfggilmoprtuwwyzFeSUtV, NpDbdisRUgzBsbbfggilmoprtuwwyzWB | 0 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.15410666167736053,
0.6784350275993347,
0.19061718881130219,
0.11557267606258392,
0.2255648672580719,
0.26670974493026733,
0.5333108901977539,
-0.05087624490261078,
0.027876287698745728,
0.5061241984367371,
-0.7899184226989746,
-0.5959107875823975,
-0.16631081700325012,
-0.206703916192054... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | Output: Tom wanted to become less angry.
| 2 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
0.7114841938018799,
1.0616806745529175,
-0.573540210723877,
-0.6751143932342529,
-0.38724976778030396,
-0.12441733479499817,
0.3955661952495575,
0.5242298245429993,
0.1489505171775818,
0.33050698041915894,
-0.21330249309539795,
0.33692413568496704,
-0.22364096343517303,
-0.2662170529365539... |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the **incorrect** answer (return the string of the incorrect option, not A/B).
Let me give you an example: Sentence: Jacob and Benny are squatting at the gym. Jacob has thin frail legs and Benny has big strong legs. Questio... | house floor | 8 | NIv2 | task1379_quarel_incorrect_answer_generation | fs_opt | [
-0.7385281324386597,
0.5928128957748413,
-0.2107435017824173,
-0.062238436192274094,
0.3202674984931946,
-0.36349624395370483,
0.4049898386001587,
0.38668563961982727,
0.14066624641418457,
0.12837839126586914,
-0.7723855376243591,
0.40625548362731934,
-0.44245773553848267,
-0.2691143155097... |
Part 1. Definition
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Part 2. Example
Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Answer: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Explanation: The Spanish sent... | Eu apenas descobri a molécula por detrás disso. | 7 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
0.09098681807518005,
0.8528438806533813,
0.5387057065963745,
-0.522041916847229,
0.11499015986919403,
-0.41406089067459106,
0.05063463747501373,
0.7905274629592896,
0.4877244532108307,
-0.926701545715332,
-1.0908284187316895,
-0.08068391680717468,
-0.7452734708786011,
0.3440697491168976,
... |
You will be given a definition of a task first, then some input of the task.
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).
concept: Mary Shelley answers: ['"In 1817 they settled at Marlow-on-Thames and Mary turned "Frankenstein" in... | when did mary shelley write frankenstein what were the circumstances? | 1 | NIv2 | task1602_webquestion_question_genreation | zs_opt | [
0.43677806854248047,
0.7347709536552429,
-0.38121169805526733,
-1.381845235824585,
0.2774832844734192,
-1.101273775100708,
0.5055315494537354,
0.0224430114030838,
1.101572871208191,
0.5813052654266357,
-0.07985763251781464,
0.40502193570137024,
-0.7262019515037537,
-0.5551766157150269,
-... |
Detailed Instructions: Given a sentence in French, generate a new French 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 reasonabl... | Vous pouvez visiter un appartement loué pour garder une maîtresse. | 9 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.13626182079315186,
0.6016698479652405,
-0.4698002338409424,
-0.5520002841949463,
0.41752320528030396,
-0.5598180890083313,
0.6665439009666443,
0.5024360418319702,
0.1005265936255455,
-0.17135193943977356,
-0.20225343108177185,
-0.2090349644422531,
-0.7858259677886963,
0.2896362543106079... |
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... | C | 8 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.011784365400671959,
-0.06444735080003738,
-0.08294275403022766,
0.6129844188690186,
-0.362543523311615,
0.07170521467924118,
0.5211230516433716,
0.2243761122226715,
1.0055062770843506,
-0.48354220390319824,
0.11465480923652649,
0.09790204465389252,
-0.9581449031829834,
-0.36081257462501... |
You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the inp... | Output: i dont know
| 2 | NIv2 | task1714_convai3_sentence_generation | fs_opt | [
0.10487180948257446,
-0.05850731581449509,
-0.6416977047920227,
0.26715272665023804,
0.28735172748565674,
-0.030393274500966072,
0.7430500984191895,
0.49804407358169556,
0.2768670916557312,
0.21303187310695648,
-0.3162408471107483,
0.09138621389865875,
-0.30610334873199463,
-0.420930892229... |
The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in a ... | perosn
| 3 | NIv2 | task088_identify_typo_verification | fs_opt | [
-0.18938636779785156,
0.11525674164295197,
0.00009793671779334545,
0.966641902923584,
0.25287747383117676,
-0.6645692586898804,
0.9850451946258545,
0.053478121757507324,
-0.2799357771873474,
0.28208833932876587,
-0.1114596426486969,
-0.6066139936447144,
-0.35682034492492676,
0.035344094038... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset ... | DET | 9 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.5714112520217896,
-0.025976818054914474,
0.20665472745895386,
0.22235262393951416,
-0.21021705865859985,
-0.6533947587013245,
0.683211088180542,
0.8699182271957397,
-0.44265860319137573,
-0.2906319797039032,
-0.20632711052894592,
-0.03927435725927353,
-0.7107570171356201,
0.7026053071022... |
You are given a sentence and your task is to generate another sentence that supports the given input.
One example is below.
Q: In spite of this reduced heat input, the surface temperature of Venus is higher than that of the Earth.
A: Venus has a warmer average surface temperature than earth.
Rationale: Output statement... | Five mass distinctions have radically altered the history of life. | 9 | NIv2 | task1530_scitail1.1_sentence_generation | fs_opt | [
0.05141809210181236,
0.4794407784938812,
-1.159266471862793,
0.603334367275238,
-0.34107327461242676,
-1.5520787239074707,
0.24657200276851654,
0.3489556610584259,
0.16599497199058533,
0.061329878866672516,
0.0192546546459198,
-0.13704439997673035,
-0.39623916149139404,
0.821123480796814,
... |
Teacher:In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversi... | Inversion | 6 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.5959001779556274,
0.9334676265716553,
0.560904860496521,
-0.5403469204902649,
-0.16483241319656372,
-1.0342106819152832,
0.622028112411499,
0.7831220030784607,
-0.23984107375144958,
-0.2921297550201416,
-0.500461995601654,
-0.3484300374984741,
-1.0295794010162354,
-0.6406411528587341,
... |
instruction:
In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "posit... | negative
| 9 | NIv2 | task524_parsinlu_food_aspect_classification | fs_opt | [
-0.8217272758483887,
0.1598750650882721,
0.13155731558799744,
0.3088291883468628,
-0.27857881784439087,
0.34191182255744934,
1.120826005935669,
0.7114233374595642,
-0.13508030772209167,
0.10563568770885468,
-0.2638469338417053,
0.3382043242454529,
-0.47123146057128906,
0.4937556982040405,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Example: A fines del verano estamos instalando el primer lote de computadoras y ayudando al Dr. Zullinger a desarrollar estrategias para poder cone... | إذن عندما تأخذ سلطة القضيب من الذكر انت تأخذ مكانته الإجتماعية | 1 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
-0.8430728316307068,
1.0426346063613892,
-0.14988669753074646,
-0.5183416604995728,
-0.35670214891433716,
0.15532970428466797,
1.0500125885009766,
0.6868274807929993,
0.22385288774967194,
-0.3277440071105957,
-0.5121358036994934,
0.6490219831466675,
-0.7719663381576538,
-0.7018141746520996... |
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Input: Consider Input: Nay, verily the record of the Righteous is (preserved) in 'Illiyin.
Output: این چنین نیست [که این سبک مغزان درباره نیکان میپندارند] بلکه پرونده نیکان در علیین است
Input: Consider ... | Output: و یقینا پروردگارت بر مردم دارای فضلی بزرگ است، ولی بیشترشان سپاس نمیگزارند،
| 2 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
-0.5926523208618164,
0.31683093309402466,
0.2776792645454407,
-0.00285726017318666,
-0.33109620213508606,
-1.3349947929382324,
1.0290014743804932,
0.41867733001708984,
0.049472223967313766,
-0.13078464567661285,
-0.24573373794555664,
0.24024291336536407,
-0.30519962310791016,
0.33115980029... |
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Example input: ['238', 'h', '92', 'U', '2799']
Example output: h, U
Example explanation: Here, the alphabetical elements... | K, G, l, T, A, o, n, a, H, z, h, P, s, s, S | 3 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.5544589161872864,
0.5886522531509399,
-0.4382430911064148,
-0.26573655009269714,
-0.20110130310058594,
-0.6364024877548218,
0.4425608217716217,
-0.3645952045917511,
-0.4196512699127197,
0.2885264754295349,
-0.6449956893920898,
-0.14181193709373474,
0.6330273747444153,
0.0814855545759201... |
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 do I get into my Instagram if I forgot my email and my Facebook password?, Question2: I forgot my password and also my email password. how can I get ba... | Yes | 3 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
0.06782092154026031,
0.4666554927825928,
0.18797430396080017,
0.4416360557079315,
-0.25272083282470703,
-0.48283976316452026,
0.9456817507743835,
0.8068884611129761,
-0.7752585411071777,
0.13928072154521942,
-0.039362743496894836,
-0.32573309540748596,
-0.7463093996047974,
-0.2486761808395... |
Instructions: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occup... | parent company | 3 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
-0.11821568012237549,
0.4559629559516907,
0.29109716415405273,
-0.5727546215057373,
-0.2630455493927002,
0.6242222189903259,
0.4427259564399719,
0.5003173351287842,
-0.2504886984825134,
0.298493891954422,
-0.7994893789291382,
-0.2935892939567566,
0.11225508898496628,
0.454220175743103,
0... |
Instructions: In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information t... | Which university that Davidson taught at opened first? | 3 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
1.0103141069412231,
0.16768106818199158,
-0.708490252494812,
-0.13147516548633575,
0.17245596647262573,
-0.3576950132846832,
0.19642053544521332,
0.8865643739700317,
-0.32372426986694336,
-0.07555613666772842,
0.1448061764240265,
0.5104681253433228,
-0.8317821025848389,
0.3813180923461914,... |
instruction:
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
question:
この「総合的社会調査」というのをもう少し掘り下げてみましょう
answer:
Vamos a centrarnos un poco más ahora, en algo que que se llama la Encuesta Social General.
question:
仮に体細胞が80年しか生きられないなら通例には反するように思いませんか ？
answer:
¿Si hay cé... | Ni siquiera sé cómo se llaman todos.
| 9 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-0.035475119948387146,
-0.0425320640206337,
-0.46821728348731995,
-0.7948335409164429,
0.23474594950675964,
-1.0878150463104248,
-0.1291993111371994,
0.10115273296833038,
-0.30056679248809814,
-0.2697204053401947,
-0.5352041125297546,
0.2028886079788208,
-0.6158837080001831,
0.494677662849... |
Detailed Instructions: The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4... | THEERE | 8 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.47440120577812195,
0.11959367990493774,
0.13860204815864563,
0.36028188467025757,
0.4511069655418396,
-1.0847095251083374,
1.2248222827911377,
-0.08559557795524597,
-0.044000294059515,
0.08419729769229889,
-0.025115326046943665,
-0.9087398648262024,
-0.5731905102729797,
-0.2509995996952... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
See one example below:
Problem: سم ، خوبي ، تو حالت خوبه .
Solution: sam . alright , youre alright .
Explanation: This is a good example. The above sentence is correctly translated from Persian to En... | go ahead and eat. you need to eat to keep your strength. | 4 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
-0.043779462575912476,
1.0612456798553467,
-0.5009540319442749,
-0.9915812015533447,
-0.6989266872406006,
-0.8572674989700317,
0.8548250198364258,
0.3177982568740845,
0.19441553950309753,
-0.4414381682872772,
-0.4224965572357178,
0.8823958039283752,
-0.7786992192268372,
0.20387572050094604... |
instruction:
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer... | They will go their separate ways .
| 9 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.35983985662460327,
0.28363144397735596,
-0.4769029915332794,
-0.0011878163786605,
0.31970641016960144,
-0.5448757410049438,
0.852351188659668,
0.5465021729469299,
-0.4321918189525604,
0.02410644292831421,
-0.512606143951416,
0.7007521390914917,
-0.1460200846195221,
-0.1862967312335968,
... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
One example is below.
Q: passage: Franchising is a way for small business owners to benefit from the economies of scale of the big corporation (franchiser). McDonal... | Yes | 9 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
-0.3538694381713867,
0.49215441942214966,
-0.190009206533432,
0.4422903060913086,
-0.04275990650057793,
0.3959829807281494,
0.713036060333252,
0.9443574547767639,
-0.13411054015159607,
0.3148663341999054,
-0.7632779479026794,
-0.13359899818897247,
-0.6338756680488586,
-0.5728235244750977,
... |
Given the task definition and input, reply with output. In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from t... | Green Man is a pub near Café Rouge on the riverside. It offers Italian food. | 5 | NIv2 | task957_e2e_nlg_text_generation_generate | zs_opt | [
-0.5018044710159302,
0.656391441822052,
-0.001580708078108728,
-0.9099409580230713,
-0.22539548575878143,
0.27569448947906494,
0.43207937479019165,
0.027549128979444504,
0.4680836796760559,
-0.5531471967697144,
0.1907927691936493,
-0.3285551071166992,
-0.49318522214889526,
0.05698481947183... |
Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation ... | Output: अवैध टिफ़ फ़ाइल:% 1
| 2 | NIv2 | task877_kde4_translation | fs_opt | [
-0.9313960075378418,
-0.150870680809021,
0.8732689619064331,
0.026948073878884315,
-0.0927283763885498,
-0.10972295701503754,
-0.3161409795284271,
-0.06811846792697906,
-0.1056247130036354,
-0.5161508321762085,
-0.7598823308944702,
0.0564451739192009,
0.15931224822998047,
0.488863795995712... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence sh... | Yes | 5 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
0.04825372248888016,
0.6506001949310303,
0.5730893015861511,
0.09195403754711151,
-0.18659070134162903,
-0.8783733248710632,
0.2306777834892273,
0.42296302318573,
0.269597589969635,
-0.5158001184463501,
-0.4472719132900238,
0.5366955995559692,
-1.2325778007507324,
0.40131905674934387,
0.... |
This task is to translate a news commentary given in French language into Russian 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.
Mais au-delà de cette vision négative, une nouvelle générati... | Но из этого мрака выходит новое поколение, неся с собой свежие идеи и планы для Индии. | 0 | NIv2 | task1377_newscomm_translation | zs_opt | [
-0.8620408773422241,
0.19533054530620575,
0.07356930524110794,
0.14621084928512573,
-0.10261628031730652,
0.6177626848220825,
0.5125515460968018,
0.500156581401825,
0.2842302918434143,
-0.3847282826900482,
-0.6296002864837646,
-0.5647478103637695,
0.12474401295185089,
0.5388228893280029,
... |
instruction:
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
question:
પ્રધાનમંત્રી નરેન્દ્ર મોદી અને જાપાનનાં પ્રધાનમંત્રી શિન્ઝો આબેએ આજે સંયુક્તપણે મુંબઈ અને અમદાવાદ વચ્ચે ભારતનાં પ્રથમ હાઈ સ્પીડ ... | ਇਸ ਮੌਕੇ ’ਤੇ, ਕੇਂਦਰੀ ਮਹਿਲਾ ਤੇ ਬਾਲ ਵਿਕਾਸ ਮੰਤਰੀ ਸ਼੍ਰੀਮਤੀ ਮੇਨਕਾ ਗਾਂਧੀ ਵੀ ਹਾਜ਼ਰ ਸਨ।
| 9 | NIv2 | task1043_pib_translation_gujarati_punjabi | fs_opt | [
-0.22471116483211517,
-0.24841897189617157,
0.6212320327758789,
-0.34927791357040405,
0.13887394964694977,
0.7369867563247681,
0.27901285886764526,
0.5470082759857178,
-0.3210155665874481,
-0.21774296462535858,
-0.3070790767669678,
-0.09792008250951767,
0.23330166935920715,
0.2601737082004... |
Instructions: Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Input: Although it is now seen as belonging to the Italian Nouvelle Vague, Before the Revolution did not attract large audiences in Italy where it only received lukewarm approval... | Which place does Before the Revolution exist in? | 3 | NIv2 | task470_mrqa_question_generation | zs_opt | [
0.38543882966041565,
1.3511918783187866,
-0.16389472782611847,
0.5014004707336426,
0.02686520293354988,
0.448233962059021,
0.22044497728347778,
1.7519452571868896,
-0.032521434128284454,
-0.07464505732059479,
-0.3429597020149231,
-0.6645671129226685,
-0.4447357952594757,
-0.255537420511245... |
instruction:
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.
quest... | C
| 9 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
-0.32301104068756104,
0.9540266394615173,
-0.25835955142974854,
-0.06479383260011673,
-0.1860412210226059,
0.04273604229092598,
1.111879825592041,
0.9053595662117004,
-0.6948665380477905,
0.17655640840530396,
-0.5455955266952515,
-0.13573084771633148,
0.08922893553972244,
-0.11563965678215... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | Solution: physical property | 5 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.289241760969162,
0.23953676223754883,
-0.5974649786949158,
0.2534181475639343,
0.2652425169944763,
-0.23459643125534058,
-0.12554806470870972,
1.1076300144195557,
-0.07358227670192719,
0.02872941642999649,
-0.31065303087234497,
-0.08803010731935501,
-0.1593942791223526,
-0.36532497406005... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Sentence 1: Have you seen what gets done to them ? Do farmers weep about it? Sentence 2: Are th... | 6
| 0 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.06913859397172928,
0.08920276910066605,
0.04717380553483963,
-0.15425428748130798,
-0.43523380160331726,
-0.5882632732391357,
0.9310321807861328,
1.0088847875595093,
-0.08224736899137497,
0.20064182579517365,
-0.7633885145187378,
0.3800746500492096,
-0.3593636155128479,
-0.4906666874885... |
TASK DEFINITION: In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
PROBLEM: i tried it naked gardening and it feels lovely to have the sun on your back and to feel the plants while you are w... | sadness
| 8 | NIv2 | task875_emotion_classification | fs_opt | [
-0.15330885350704193,
0.3312146067619324,
0.21104468405246735,
-0.024802271276712418,
-0.14955240488052368,
-0.5669789910316467,
1.227527141571045,
0.2488575279712677,
0.164615660905838,
-0.40027251839637756,
-0.5665655136108398,
-0.10394908487796783,
-1.1710401773452759,
-0.15947173535823... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
इस आयोजन से ऑटोमोटिव उद्योग के सभी हितधारकों को एकजुट करने के लिए उन्हें एक प... | This event will help in building a platform for bringing together all stakeholders in the automotive industry to understand global advancements in technologies. | 1 | NIv2 | task1024_pib_translation_hindi_english | zs_opt | [
0.06468065083026886,
-0.23935559391975403,
0.14618530869483948,
0.45181021094322205,
0.010083566419780254,
-0.5819159746170044,
0.019945470616221428,
0.14064013957977295,
0.29534780979156494,
0.4229956865310669,
-0.42099690437316895,
-0.1932980716228485,
0.02651892602443695,
0.439890265464... |
Detailed Instructions: In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
Problem:A police stole all the g... | A | 8 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | zs_opt | [
-0.17956992983818054,
1.0276873111724854,
-0.7714633941650391,
-0.9133428931236267,
-0.1271900236606598,
-0.9591004848480225,
-0.05423683673143387,
0.6414290070533752,
0.1923135221004486,
0.09141227602958679,
-0.7997087836265564,
0.6458665132522583,
-0.3827253580093384,
-0.5415731072425842... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Problem:単に教育の欠如の問題でしょうか ？
Solution: | آیا این فقط در مورد فقدان آموزش و پرورش است ؟ | 8 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
-0.4194810390472412,
0.10402768850326538,
0.1252748966217041,
-0.9215120077133179,
-0.28407397866249084,
0.03933294862508774,
0.7084918022155762,
0.5016254782676697,
-0.5198020339012146,
-0.6228408217430115,
-0.9864162802696228,
-0.5974258184432983,
-0.6936525106430054,
0.3646484911441803,... |
Instructions: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expecte... | Text one | 3 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.5787840485572815,
0.6194021701812744,
0.44020095467567444,
-0.7607467174530029,
0.3098564147949219,
-0.3145599961280823,
0.5056606531143188,
0.6622940301895142,
-0.38811665773391724,
0.36278361082077026,
-0.3192460536956787,
-0.32475894689559937,
-0.0031756656244397163,
0.15423013269901... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Problem:Então, o que é que a precisão nos oferece?
Solution: | Quindi, a cosa ci porterà quella precisione? | 8 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.3200940489768982,
0.7787332534790039,
0.06521829217672348,
-0.02826439030468464,
-0.6055266857147217,
-0.6945721507072449,
0.8089888095855713,
0.32453784346580505,
0.7555621862411499,
-0.06578060984611511,
-0.742304265499115,
0.1806662380695343,
-0.34803134202957153,
0.5830277800559998,... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
[Q]: Context: At 1:21 before launch, a... | no
| 5 | NIv2 | task241_tweetqa_classification | fs_opt | [
-0.8710669279098511,
0.11819377541542053,
0.15521395206451416,
0.5367190837860107,
-0.7562364339828491,
0.1044921725988388,
-0.33603355288505554,
0.8081538081169128,
0.07291599363088608,
0.43881088495254517,
-0.9649588465690613,
0.059256892651319504,
-0.17639485001564026,
0.268094211816787... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Ex Input:
And that recognition will sow fear — recognizing the seriousness of the situation.
Ex Output:
ان الاعتراف سوف يزرع الخوف اقصد الاعتراف بمدى جدية الموضوع
Ex Input:
But be careful, because this one really stands ... | وعندما قمنا بذلك ، كان علينا بناء مجاري مياه الأمطار للتخلص من المياه المتساقطة في المدن قبل أن تتسبب في حدوث فيضانات ، وهذا إهدار لمصدر هام لمياه الشرب.
| 1 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
-0.06203554570674896,
0.3248096704483032,
-0.21343360841274261,
-0.13829979300498962,
-0.45068755745887756,
-0.4879733920097351,
0.7207651138305664,
0.8042755126953125,
0.5863686800003052,
0.09480181336402893,
-0.6194358468055725,
0.8170415163040161,
-0.8554441928863525,
-0.063182331621646... |
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:Wind Energy Research and Development Act of 2009 - Directs the Secretary of... | To provide for a program of wind energy research, development, and demonstration, and for other purposes. | 8 | NIv2 | task1659_title_generation | zs_opt | [
-1.0306813716888428,
0.7272236347198486,
-0.2527815103530884,
-0.4681360721588135,
-0.2846810221672058,
-0.29384541511535645,
0.2769303023815155,
1.0132137537002563,
-0.24967113137245178,
0.4956444799900055,
0.4980519711971283,
0.282746285200119,
0.10430827736854553,
-0.47878503799438477,
... |
In this task, given a sentence in the Japanese language, your task is to convert it into the English language.
Q: 国際通貨基金と欧州連合は、グルジアが8月上旬に発生したロシアとの紛争から回復することを支援するための包括的援助計画を承認した。
A: The International Monetary Fund and the European Union approved aid packages to help Georgia recover from its conflict with Russia, which... | This article follows on from interviews with republican, Lewis Holden; and monarchist, Noel Cox.
****
| 4 | NIv2 | task542_alt_translation_ja_en | fs_opt | [
-0.2797434628009796,
0.32295358180999756,
0.566708505153656,
-0.6049356460571289,
0.22031855583190918,
-0.47576603293418884,
0.12702801823616028,
0.3702738285064697,
-0.2560310959815979,
-0.4585290551185608,
0.024519385769963264,
0.16045930981636047,
-0.48051923513412476,
-0.33834445476531... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
I'm kind of picky.
Do you like a variety of food?
I would say so, if I'm honest.
Do you get a little too excited about elves and wizards?
Indeed I do
| Do you like going to food trucks?
| 0 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.8324289917945862,
0.6461215615272522,
0.44107192754745483,
-0.1275995671749115,
-0.7167187333106995,
-0.5438030958175659,
0.8347578644752502,
-0.4135141968727112,
-0.14594034850597382,
-0.41780179738998413,
0.8169814348220825,
-0.05583852529525757,
-1.6694287061691284,
0.307132631540298... |
In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label... | not
| 5 | NIv2 | task386_semeval_2018_task3_irony_detection | fs_opt | [
-0.9586920738220215,
0.8997902274131775,
0.500388503074646,
0.17271563410758972,
-0.4567354917526245,
-0.23830564320087433,
0.44256794452667236,
0.4823836088180542,
0.6280577778816223,
0.045906782150268555,
-0.3479591906070709,
-0.12777315080165863,
-0.38726913928985596,
-0.115250095725059... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Example Input: And now it's a real, full-blown project with more people on it.
Example Output: والآن الأمر حقيقة ، مشروع كامل النضوج مع المزيد من الناس يعملون عليه.
Example Input: Tabloid-only readers are twice as likely t... | وقرنيته ستذهب إلى معهد تشيبنس لأبحاث العيون ، وهو جزء من كلية الطب بجامعة هارفارد ، وشبكية العين ستذهب إلى جامعة بنسلفانيا
| 3 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
0.05924440547823906,
0.23387260735034943,
0.34881657361984253,
-0.3851408064365387,
-0.07258936762809753,
-0.1747228354215622,
0.44487500190734863,
0.34227991104125977,
0.6089794635772705,
-0.43875834345817566,
-0.6973361968994141,
0.31916582584381104,
-0.21353475749492645,
-0.199705049395... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | red_cupboard
| 5 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
-0.7010319828987122,
-0.5864999294281006,
-0.6528517007827759,
0.2229948341846466,
-0.1272895485162735,
-0.5129035115242004,
-0.29071474075317383,
0.8636953830718994,
-0.13106073439121246,
0.48783087730407715,
-0.0622604638338089,
0.08678055554628372,
0.08750230073928833,
0.260572522878646... |
Q: In this task you are given a premise and two alternatives in Swahili. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Uo... | 2 | 7 | NIv2 | task1174_xcopa_commonsense_reasoning_sw | zs_opt | [
-0.4918628931045532,
0.733877420425415,
0.28831571340560913,
-0.041079360991716385,
-0.6372904777526855,
0.03947506099939346,
0.395891398191452,
0.6776167154312134,
0.8503895998001099,
-0.048717811703681946,
-0.11306971311569214,
-0.08596280217170715,
-0.5706484317779541,
0.331034183502197... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | Solution: Tim needs to learn how to drive >Causes/Enables> Tim attends driving school | 5 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.1885322630405426,
0.04843432456254959,
0.23198643326759338,
-0.3246937394142151,
-0.4548031687736511,
-0.1401132345199585,
0.4513722062110901,
0.7308445572853088,
-0.6682649850845337,
0.1882980763912201,
-0.7087118625640869,
0.2816275358200073,
0.036191269755363464,
-0.5783113241195679,
... |
An answer is given. Generate a question for which the given answer is either a direct or partial answer.
Input: Consider Input: Answer: funny things happen down under
Output: what was olivia newton-johns oldest movie?
Input: Consider Input: Answer: australia national rugby union team
Output: who won the second rug... | Output: who was the first female to win an academy award?
| 2 | NIv2 | task443_com_qa_ans_question_generation | fs_opt | [
-0.8382431268692017,
1.2093067169189453,
-1.0598291158676147,
0.12237720191478729,
-0.44350072741508484,
-0.01902426779270172,
0.25971487164497375,
0.20506706833839417,
0.8547604084014893,
-0.47389090061187744,
-0.17796805500984192,
0.37655824422836304,
-0.8472917079925537,
-0.224359422922... |
TASK 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. Y... | Yes
| 8 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.29642724990844727,
0.29823511838912964,
0.08396852016448975,
-0.5138777494430542,
-0.4151972830295563,
-0.9937540888786316,
1.4218462705612183,
0.48512881994247437,
-0.1780429482460022,
-0.7056320309638977,
-0.06676869839429855,
-0.4665158689022064,
-0.5394268035888672,
0.085271611809730... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | IN | 4 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.22236086428165436,
0.9939085245132446,
-0.05117746815085411,
0.07318464666604996,
-0.1740747094154358,
-0.8286895751953125,
0.8165102005004883,
1.194873571395874,
-0.17645148932933807,
-0.061480507254600525,
-0.5142472982406616,
0.6238950490951538,
-0.2166096568107605,
0.0517499446868896... |
Q: This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning... | How many games had the Buccaneers won prior to this game? | 7 | NIv2 | task026_drop_question_generation | zs_opt | [
0.4530443549156189,
0.05136388540267944,
-0.551788330078125,
0.702171802520752,
-0.0979916974902153,
-0.1246316209435463,
0.35826846957206726,
0.4441123306751251,
0.24136760830879211,
-0.25503551959991455,
-0.7284575700759888,
0.4132879972457886,
-0.6375199556350708,
0.19553488492965698,
... |
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.
This is a very tasty product. Tastes more like tuna. However I believe the 35mg of salt listed on the indgredie... | Ugh so not what I was expecting >.<
| 0 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.024741649627685547,
0.4531792998313904,
-0.5327574610710144,
-0.7724623084068298,
0.3970818519592285,
-0.6343410015106201,
0.8556211590766907,
0.7002096176147461,
-0.34447431564331055,
0.17937220633029938,
0.8577427864074707,
-0.18687137961387634,
-0.6788379549980164,
0.0477414652705192... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT
| 5 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.38358891010284424,
0.6911388039588928,
-0.44551771879196167,
0.3574576675891876,
-0.020841944962739944,
-0.39217233657836914,
0.07720255851745605,
0.2736983001232147,
-0.21514873206615448,
-0.02049981988966465,
-0.7296172976493835,
-0.19321072101593018,
-0.48453402519226074,
-0.136713683... |
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
One example: Review: Ea... | False | 6 | NIv2 | task494_review_polarity_answer_generation | fs_opt | [
-0.43749746680259705,
-0.14802545309066772,
0.4193428158760071,
-0.151925191283226,
0.41073739528656006,
-0.8676415085792542,
1.2500337362289429,
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0.6863625049591064,
0.3627111315727234,
-0.14943134784698486,
-0.10230119526386261,
-0.45626240968704224,
-0.349107086658477... |
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
One example is below.
Q: gocogccocco
A: gocog
Rationale: T... | xsssx | 9 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.6850140690803528,
0.7126390337944031,
0.028089098632335663,
-0.22072336077690125,
-0.5050610303878784,
-0.45344510674476624,
1.188228964805603,
-0.18758255243301392,
-0.06038477271795273,
-0.2865263521671295,
-0.5892833471298218,
0.07904889434576035,
-0.3588528335094452,
0.0398838296532... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Input: אנשים נחטפים, משם מגיע הנפט, הנפט שלפעמים נדמה לי שגורם לכולנו בניגריה להשתגע.
Output: | Persoas secuestradas, o sitio de onde procede o petróleo, o petróleo que moitas veces parece que nos volveu a todos tolos en Nixeria. | 2 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.1104375347495079,
0.5829094648361206,
-0.2473779171705246,
-0.8693705797195435,
-0.7984869480133057,
-1.4673913717269897,
0.45303013920783997,
0.7438958883285522,
0.0725250095129013,
0.24660131335258484,
-0.9586614370346069,
-0.5473307371139526,
-0.9652026891708374,
0.011769821867346764... |
instruction:
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
question:
Kiedy się zaprzyjaźniliśmy, stałam się ich powierniczką medycznym pośrednikiem, ale co ważniejsze, stałam się osobą zarządzającą ostatnimi chwilami ich życia.
answer:
As we became friends, I became thei... | The signals that you are seeing here are action potential, are the same signals that the neurons of my brain, of our brain, use to exchange information.
| 9 | NIv2 | task1256_ted_translation_pl_en | fs_opt | [
-0.6055428385734558,
0.9711906313896179,
0.4698870778083801,
-1.0126639604568481,
-0.370445191860199,
-0.7669328451156616,
0.9757238626480103,
-0.4939517080783844,
0.16361704468727112,
-0.29259979724884033,
0.6943470239639282,
0.4977453947067261,
-0.515778660774231,
-0.07993414252996445,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your an... | Question: Where did Anne go to smoke for the first time?, Answer: A Tea Party | 1 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.8832623958587646,
0.05567300319671631,
-0.5611589550971985,
-0.5983180999755859,
0.5836753249168396,
0.04357919842004776,
0.7710063457489014,
0.8991100788116455,
0.1364755928516388,
0.16450977325439453,
-0.4307931661605835,
0.19253522157669067,
-0.3920142352581024,
0.027846451848745346,
... |
Definition: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Inp... | said | 2 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.7335230708122253,
0.5915523767471313,
-0.03610733151435852,
-0.5813589096069336,
-0.15966784954071045,
0.5831282138824463,
0.8116128444671631,
0.43862468004226685,
0.11414504796266556,
-0.13773943483829498,
-0.7048775553703308,
0.30489155650138855,
-0.3658711314201355,
0.4609614014625549... |
Definition: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"... | A | 2 | NIv2 | task329_gap_classification | zs_opt | [
-0.08434537053108215,
0.18434369564056396,
-0.4333811104297638,
-0.4915774166584015,
0.6346083879470825,
-0.06118073686957359,
0.7246065139770508,
0.630133867263794,
0.3356870412826538,
0.29131758213043213,
-0.5747963190078735,
-0.07029780745506287,
-0.7354139685630798,
-0.4754964411258697... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For ... | hopeful
****
| 4 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
0.1096835657954216,
-0.312897264957428,
-0.11448922008275986,
-0.12444216758012772,
-0.4188682734966278,
-0.13881316781044006,
0.8595448732376099,
0.6794646978378296,
-0.5155731439590454,
-0.011228382587432861,
-0.5680460929870605,
-0.1212443858385086,
-0.06065387278795242,
-0.151492238044... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: HORRENDOUS! Avoid like the plague. I would rate this in the top 10 worst movies ever. Special effects, acting, mood, sound, etc. appear to be done by day... | positive
****
| 4 | NIv2 | task284_imdb_classification | fs_opt | [
0.3175439238548279,
0.3396354019641876,
-0.9564725756645203,
0.22413523495197296,
0.3316047489643097,
0.015023642219603062,
0.8660695552825928,
1.2206847667694092,
-0.1300351917743683,
0.4738333225250244,
0.396556556224823,
0.4500199258327484,
-0.7213753461837769,
0.04623975604772568,
-0... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the... | customer: Thanks, I want to take off on 05/31 and book my return ticket also on 06/02. | 8 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.24161994457244873,
0.2482699453830719,
-0.5407367944717407,
-0.9716119766235352,
0.39524298906326294,
-0.1796477735042572,
1.7823150157928467,
-0.014384760521352291,
-0.5575648546218872,
0.04967109113931656,
-0.10396911948919296,
-0.15917238593101501,
-0.9868065714836121,
0.7414845228195... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Let me give you an example: É basicamente un caldeiro que rota.
The answer to this example can be: ويوجد أساسا مرجل دوار.
Here is why: The Galician sentence is correctly translated into Arabic, because the meaning is pres... | أمة تنفجر في المحادثات في الوقت الحقيقي ردا على ما يدور في البث. | 8 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.34289172291755676,
0.2931833267211914,
0.04338075965642929,
-0.6252108812332153,
-0.0841592326760292,
0.38735318183898926,
1.2796459197998047,
-0.4524737000465393,
-0.5803811550140381,
-0.4227480888366699,
-0.7361710071563721,
-0.24680671095848083,
-1.3941965103149414,
0.592818140983581... |
Part 1. Definition
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking th... | place a fork into the white filling of the cookie and use it to dip | 7 | NIv2 | task080_piqa_answer_generation | fs_opt | [
0.11281906068325043,
0.6507769823074341,
-0.579852819442749,
0.14430800080299377,
-0.24394935369491577,
0.39097386598587036,
0.416978657245636,
0.09946055710315704,
0.15887823700904846,
-0.3800325393676758,
-0.3422447443008423,
-0.22205984592437744,
-0.3188883662223816,
0.19175758957862854... |
TASK DEFINITION: Given a scientific question, generate a correct answer to it.
PROBLEM: Organs are groups of what working together?
SOLUTION: tissues
PROBLEM: When leaves wilt, what plant process ceases?
SOLUTION: photosynthesis
PROBLEM: Prostaglandins also help regulate the aggregation of platelets, one step in th... | blood clots
| 8 | NIv2 | task591_sciq_answer_generation | fs_opt | [
1.3017356395721436,
0.5078020095825195,
-1.3186578750610352,
-0.1663987636566162,
-0.6805890798568726,
-0.8447985053062439,
0.38266369700431824,
-0.4032212495803833,
0.19993261992931366,
-0.04276622459292412,
-0.5172498226165771,
-0.2217831164598465,
-0.15355417132377625,
0.313299894332885... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Q: 25340
A: | No | 4 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.1330941617488861,
0.7712711095809937,
0.1352483630180359,
-0.22241441905498505,
-0.3604077398777008,
-0.3054002523422241,
0.6856676340103149,
0.8846193552017212,
-0.02904648333787918,
0.25147145986557007,
-0.9202372431755066,
-0.10176928341388702,
-0.4313901364803314,
-0.321941763162612... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a question and a corresponding answer. Your task is to generate a fact statement that is useful in answering the given question.
Example: Question: Frilled sharks and angler fish live far beneath the surface of the ... | quartz scratches glass easily | 1 | NIv2 | task1401_obqa_sentence_generation | fs_opt | [
-0.7161815166473389,
-0.017387747764587402,
-0.81573486328125,
-0.2737598419189453,
-0.17684516310691833,
-0.16728636622428894,
0.16058482229709625,
0.5746797323226929,
0.049298688769340515,
0.032663702964782715,
-0.07067349553108215,
0.021744268015027046,
-0.3362637162208557,
0.0651544705... |
Detailed Instructions: In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Q: M: Hello, Mrs. Tailor, is Pe... | Ride bicycle. | 9 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
0.12107257544994354,
0.5440332889556885,
-0.23330730199813843,
0.11766549944877625,
0.11459752917289734,
-0.8275782465934753,
0.2144383192062378,
0.0799269750714302,
0.9033324718475342,
-0.25019052624702454,
-0.697556734085083,
0.19101297855377197,
0.33302223682403564,
-0.6221550107002258,... |
Detailed Instructions: In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute dista... | 170 | 8 | NIv2 | task1446_farthest_integers | zs_opt | [
-0.4480099678039551,
0.35641729831695557,
0.0667952299118042,
-0.19006577134132385,
-0.5248516798019409,
-0.05326796695590019,
0.6791890859603882,
0.1102740466594696,
0.7856333255767822,
-0.29041898250579834,
-0.23384158313274384,
-0.08054114878177643,
-0.49376749992370605,
0.0462516546249... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifi... | No | 1 | NIv2 | task227_clariq_classification | zs_opt | [
-0.20701435208320618,
0.1528143435716629,
-0.08321487903594971,
0.07268453389406204,
0.15804576873779297,
-0.37380659580230713,
0.9561687707901001,
0.26584935188293457,
0.42355266213417053,
-0.03177739679813385,
-0.05414286628365517,
0.35420793294906616,
-0.5206490755081177,
0.070053189992... |
Given the task definition, example input & output, solve the new input case.
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process ca... | Make sure the pencil is sharp. This means that the lead/graphite center is exposed. Hold the pencil nearly horizontal. Bring the writing end into contact with a flat sheet of paper. Move the pencil around. | 1 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.19145001471042633,
0.8299372792243958,
-0.7978874444961548,
0.4660336375236511,
0.450871080160141,
-0.19222009181976318,
0.48996204137802124,
1.0917508602142334,
-0.343670517206192,
0.16556596755981445,
0.3948911428451538,
0.19127903878688812,
0.16195321083068848,
-0.5531640648841858,
... |
Teacher:In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Teacher: Now, understand the problem? Solve this instance: These folders are flimsy. Since they expand to two inches you would think they would be made of more substantial material. They are ok for up ... | Flimsy - cut outs on the sides (and thin material) make it difficult for them to hold paper securely | 6 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
-0.4006485342979431,
-0.40348532795906067,
0.19822174310684204,
-0.4117078483104706,
0.2753094434738159,
-0.20327550172805786,
-0.03483758866786957,
0.6073172688484192,
0.2563035488128662,
0.5390326976776123,
0.23859849572181702,
0.1548367589712143,
-0.33698761463165283,
-0.315670430660247... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Q: ['6441', '4983', 'w', 'l', 'y', '4061', '8707']
A: | 24192 | 9 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.1455550491809845,
1.1949312686920166,
-0.4747399091720581,
-0.9657448530197144,
-0.18323993682861328,
-0.03872351348400116,
0.30860939621925354,
-0.7283512949943542,
-0.11186230182647705,
0.0503958985209465,
-0.09788715839385986,
0.4161214828491211,
-0.04008135572075844,
0.1010879948735... |
instruction:
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 _ .
quest... | Filmmaker and _ native Michael Moore has been particularly vocal, saying the governor should be arrested for his role in the water crisis.
| 9 | NIv2 | task301_record_question_generation | fs_opt | [
-0.07242551445960999,
-0.016124233603477478,
-0.5787119269371033,
-0.8054591417312622,
0.8211442232131958,
-0.21031740307807922,
0.72243732213974,
0.9084905385971069,
-0.08874431252479553,
0.15048407018184662,
0.22453902661800385,
0.6877051591873169,
-1.1949331760406494,
0.4129793643951416... |
A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
--------
Question: कर्नल राठौर ने महिला पर्वतारोही दल को मनीरंग अभियान पर भेजने के लिए भारतीय पर्वतारोहण फांउडेशन के प्रयासों की सराहना की।
Answer: کرنل راجیہ ... | ’سروس لیول پروگریس‘ کے تحت اجزاء کے لئے ترمیم شدہ وزن رکھا گیا ہے۔ اس میں ایک نئے جزو ’بائی لاز‘ کا اضافہ کیا گیا ہے۔ (نیچے ڈائیگرام ملاحظہ کریں)۔
| 7 | NIv2 | task1053_pib_translation_hindi_urdu | fs_opt | [
-0.21863698959350586,
0.4069191515445709,
-0.6699092388153076,
-0.4111849367618561,
-0.42186644673347473,
-0.3189601004123688,
0.33511000871658325,
0.7149046659469604,
0.09350037574768066,
-0.43375033140182495,
-0.9682466983795166,
-0.5365831851959229,
-0.5265520811080933,
0.46862372756004... |
Q: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Reviews: About 1/2 of these dried up. My printer would se... | False | 7 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.9060266613960266,
0.13085654377937317,
0.004685231484472752,
-0.6242833733558655,
0.14117799699306488,
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0.2724428176879883,
0.4775571823120117,
-0.4441452622413635,
0.44990089535713196,
0.03609061241149902,
-0.789029061794281,
-0.47470709681510925,
0.1589606553316116... |
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.
[EX Q]: Mr President, this report builds on previous excellent work in the Europe... | Spanish
| 6 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
-0.04257199540734291,
0.6881687641143799,
0.7101415395736694,
-0.04816070944070816,
0.11045346409082413,
-0.18088851869106293,
-0.09243160486221313,
1.0172436237335205,
0.14835190773010254,
-0.07360239326953888,
-0.35733678936958313,
0.3647778630256653,
-0.0016308458289131522,
-0.898462474... |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | a | 9 | NIv2 | task231_iirc_link_classification | fs_opt | [
0.055863767862319946,
0.8171712756156921,
-0.5130422115325928,
-0.07087872922420502,
0.48981618881225586,
-0.628972053527832,
0.9453409910202026,
0.9986616373062134,
0.0207454152405262,
0.6586121320724487,
-0.08082832396030426,
0.12714609503746033,
-0.6331713199615479,
-0.03025491721928119... |
Definition: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Input: Category: bird
Words: crane, derrick, hummingbird, goose, derrick
Output: | derrick | 2 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.027956202626228333,
0.45308899879455566,
-0.058753252029418945,
-0.3312986493110657,
-0.018151842057704926,
-0.08916744589805603,
0.0927313044667244,
-0.2372887283563614,
0.2278115451335907,
-0.17602860927581787,
-1.061314582824707,
-0.31272241473197937,
-1.316354751586914,
0.3038979172... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
One example: Poradzi sobie, ale trzeba na nią uważać.
Solution is here: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Explanation: The Polish sentence is correctly translated into Arabic, because the meaning is preserved.
No... | ما هذه ؟ هذه أول زراعة ل حمض نووي أعزل ، حيث يمكنكم أخذ نظام تشغيل حمض نووي كامل من خلية واحدة ، وإدراجه في خلية مختلفة ، وجعل تلك الخلية تتمهد كنوع منفصل. تلك عمرها شهر واحد. سترون أشياء في الشهر المقبل ستكون بقدر أهمية هذه الأشياء. | 6 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.13204032182693481,
0.6261446475982666,
0.07316651940345764,
-0.7258853912353516,
-0.27442049980163574,
-0.4768269658088684,
1.2891672849655151,
-0.4124069809913635,
0.2916005551815033,
0.5980916619300842,
-0.4838230609893799,
0.26726388931274414,
-1.080876350402832,
0.7815773487091064,
... |
instruction:
You are given a statement written in Gujarati. 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 .
question:
Statement: પીપળાતા <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા ખેડ... | ભારત
| 9 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.3589632511138916,
0.8078298568725586,
0.5955889821052551,
-0.2809426188468933,
-0.014622078277170658,
-0.8304694890975952,
0.6654999256134033,
1.1674302816390991,
-0.5526567697525024,
0.2265637218952179,
-0.4690357446670532,
0.5351324677467346,
-0.5617519021034241,
-0.5143265128135681,
... |
Q: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Which `Sex and the City` star is actor Matthew Broderick married to?
A: | sarah jessica parker | 7 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.11295134574174881,
1.2782337665557861,
-0.14321842789649963,
-0.5808064937591553,
0.6213934421539307,
0.25510236620903015,
0.4519155025482178,
0.4363982379436493,
0.7602556347846985,
-0.5662058591842651,
-0.23467755317687988,
0.17362534999847412,
-0.5809082984924316,
-0.7917801141738892,... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected s... | 3 | 1 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
0.4903072714805603,
0.10531818866729736,
-0.1393730342388153,
-0.11058883368968964,
0.014898369088768959,
-0.613274335861206,
0.7762919068336487,
0.7915989756584167,
-0.006103039253503084,
0.056224629282951355,
-0.4868584871292114,
-0.1666538566350937,
-0.5632631182670593,
-0.8948445916175... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
[Q]: ['1069', 'W'... | 1, 3, 4
| 5 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.3340120315551758,
0.2109958827495575,
-0.2076338827610016,
-0.8036944270133972,
-0.0366850346326828,
-0.5140705108642578,
0.4918389916419983,
0.48584848642349243,
-0.5603421926498413,
0.4765295684337616,
-0.23945483565330505,
0.06086765602231026,
0.11317888647317886,
0.00180819141678512... |
Q: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded ... | Non-obscene | 7 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.5533105731010437,
0.6362046003341675,
0.7456955909729004,
0.16852638125419617,
0.24753063917160034,
-0.5736489295959473,
0.3123336434364319,
0.356855571269989,
0.7703268527984619,
0.5361266136169434,
0.05091040953993797,
0.23346662521362305,
-0.6588959097862244,
-0.8407846689224243,
0... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | N
| 3 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.8183979988098145,
0.4660365581512451,
0.037836313247680664,
-0.31115368008613586,
-0.18362465500831604,
0.3494640588760376,
0.27255743741989136,
0.7578271627426147,
-0.30613940954208374,
0.0338871143758297,
-0.4167867600917816,
0.2077060043811798,
-0.5932291746139526,
-0.067000277340412... |
Teacher: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subje... | The players are active. | 2 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.1494358777999878,
0.3321744501590729,
0.3364427983760834,
-0.2041771411895752,
0.39819180965423584,
-0.6671475768089294,
-0.4462040066719055,
0.7090482711791992,
0.43975186347961426,
-0.5063190460205078,
-0.7976565361022949,
-0.1432018280029297,
-0.6544262170791626,
-0.7846004366874695,... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Example: Comment: President lied under oath about consensual sex...
No... | Solution: Non-sexual-explicit | 5 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-1.0463263988494873,
-0.007174136117100716,
0.4956281781196594,
0.22097238898277283,
-0.01393106859177351,
0.07887069880962372,
-0.13961005210876465,
0.5718927383422852,
-0.00046904198825359344,
0.5635006427764893,
0.24653571844100952,
-0.3543727993965149,
-0.14259998500347137,
-1.05025434... |
Teacher: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have ... | No | 2 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.46202754974365234,
0.13369914889335632,
0.1435622125864029,
0.09651043266057968,
-0.20191144943237305,
-0.558914840221405,
0.7291955351829529,
0.8583017587661743,
-0.7720024585723877,
-0.049944378435611725,
-0.44437074661254883,
-0.37702640891075134,
-0.7167484760284424,
0.05172412842512... |
The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Ex Input:
PersonX searches PersonX's pantry
Ex Output:
to eat fo... | to store something
| 1 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.5775884985923767,
0.4094395339488983,
-0.04788587614893913,
-0.19123032689094543,
-0.6518666744232178,
-0.28085044026374817,
0.7283027172088623,
0.13028119504451752,
0.20775531232357025,
-0.3655620217323303,
-0.2788887917995453,
-0.5212314128875732,
-1.1156891584396362,
0.30770224332809... |
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 (if everyone mentioned is wrong) and NOBODY ... | AUTHOR | 0 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
-0.3727377653121948,
-0.09436479955911636,
0.8656649589538574,
-0.44055578112602234,
0.1525886058807373,
-0.32550913095474243,
0.07796450704336166,
0.897024929523468,
0.3653525710105896,
0.1711740344762802,
0.4932432472705841,
0.27617207169532776,
-0.8854127526283264,
-0.4636986255645752,
... |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
உலகளாவிய எதிர்கால நகர்வுக்கான ஊக்கியாக இவை அதிகரித்து வருகின்றன.
| તે ભવિષ્યને મજબુત બનાવવા માટે લાખો શિક્ષિત મસ્તિષ્ક, કુશળ હાથ અને આકાંક્ષાપૂર્ણ સ્વપ્ન પ્રદાન કરે છે. | 5 | NIv2 | task1064_pib_translation_tamil_gujarati | zs_opt | [
-0.4281567335128784,
1.1949588060379028,
0.2716127336025238,
0.46057817339897156,
-0.5865993499755859,
-0.27791571617126465,
0.1573830097913742,
0.030583664774894714,
-0.1441120207309723,
-0.5195002555847168,
-0.6918271780014038,
0.22930201888084412,
-0.8663290143013,
0.397050142288208,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
--------
Question: Spójrzcie co my,,,
Answer: 私達がやってきたことを見て
Question: Postaramy się przestawić wam najwspanialszą część, będzie można rozmawiać z Milo własnym głosem.
Answer: とうとうマイロと言葉を交わす時が来ましたこれがこのテクノロジの醍醐味だと思っています
... | 目に見えるものと目に見えないもの
| 7 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
-0.7650997042655945,
0.36027050018310547,
0.17927508056163788,
0.27434152364730835,
0.04984356090426445,
0.23859591782093048,
0.5620919466018677,
-0.07641035318374634,
0.09639526903629303,
-0.1871505230665207,
-0.37439456582069397,
0.21800515055656433,
-0.1818239837884903,
0.55923813581466... |
Given the task definition and input, reply with output. Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
A lot of reviews said this was goin... | Good Review | 5 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.7224698066711426,
0.2935832440853119,
0.0013548732968047261,
0.21643869578838348,
0.09933792799711227,
0.04819002002477646,
0.3386584520339966,
0.780517578125,
-0.21090765297412872,
0.3365592360496521,
-0.28809940814971924,
-0.25182217359542847,
-0.15891724824905396,
-0.0709828734397888... |
Given a scientific question, generate a correct answer to it.
Ex Input:
What process provides over 99 percent of the energy for life on earth?
Ex Output:
photosynthesis
Ex Input:
Methanogens in their gut enable what process in cows?
Ex Output:
digestion
Ex Input:
Nonmetal structures contain what type of bonds?
... | covalent
| 1 | NIv2 | task591_sciq_answer_generation | fs_opt | [
0.29921233654022217,
0.6442472338676453,
-0.4162933826446533,
0.060268204659223557,
-0.9483606815338135,
-1.2381458282470703,
-0.2954041659832001,
0.8755208253860474,
-0.3753260672092438,
0.17687609791755676,
-0.08528895676136017,
-0.13924208283424377,
-0.8940343856811523,
0.26868906617164... |
instruction:
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
question:
Category: '50s TV
Clue: In "Have Gun, Will Travel", Richard Boone playe... | bewitched
| 9 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.558568000793457,
0.6987266540527344,
-0.1773347109556198,
-0.2482132613658905,
0.12261416763067245,
-0.3375363349914551,
1.4772539138793945,
0.08713885396718979,
0.6541127562522888,
0.1198258101940155,
-0.38194912672042847,
0.19766150414943695,
-1.4146144390106201,
0.14438480138778687,
... |
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