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 is about translating a given English language sentence to French.
Let me give you an example: How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change?
The answer to this example can be: Comment devrions nous inscrire l'intention sur tous les ... | Je vais l'aborder de front. | 8 | NIv2 | task1689_qed_amara_translation | fs_opt | [
-0.1883096992969513,
0.9721003770828247,
0.82273268699646,
-0.1690366119146347,
0.2818759083747864,
-1.3381483554840088,
0.4924112856388092,
-0.20184889435768127,
0.5323718786239624,
-0.2646617889404297,
-0.1955004781484604,
0.5005800724029541,
-0.3681719899177551,
0.004293603822588921,
... |
This task is about translating a given English language sentence to Yoruba language.
One example is below.
Q: While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion of this course.
A: Bí ó ti jẹ́ wí pé o kò leè fún ẹnikẹ́ni nímọ̀ràn ajẹmófin... | Báwo ni o ṣe wá ní gbogbo owó yìí? | 9 | NIv2 | task1685_menyo20k_translation | fs_opt | [
-0.15732434391975403,
0.6969305276870728,
0.4941134452819824,
-0.3492344915866852,
-0.47554677724838257,
-0.32719287276268005,
0.11359214782714844,
0.784278392791748,
0.09699401259422302,
-1.3557791709899902,
0.27359557151794434,
0.5699167251586914,
-1.3870378732681274,
0.39012739062309265... |
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.
Context : Arthur Lee Dixon FRS (27 November 1867 -- 20 February 1955) was a British mathematician and holder of the Waynflete Professorship of P... | What year did Arthur Lee Dixon die in? | 0 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
0.5557739734649658,
-0.10104864835739136,
-0.4822500944137573,
-0.5982527136802673,
-0.04021410644054413,
-0.46599775552749634,
-0.29245561361312866,
-0.22574575245380402,
0.4969523549079895,
-0.220081627368927,
0.0898483544588089,
1.181605577468872,
-1.3174197673797607,
0.3625805974006653... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | 4
| 1 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.7092924118041992,
0.8955342173576355,
-0.03966306522488594,
-0.471484899520874,
0.024101532995700836,
-0.36672496795654297,
1.23501455783844,
-0.18480205535888672,
0.34323981404304504,
-0.9131717681884766,
0.02551872655749321,
-0.06355341523885727,
-0.8740949034690857,
-0.508496761322021... |
Q: In this task, you're given a passage, 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'.
Passage: Tennessee Colony was established in... | Answer: Tennessee | 7 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.8916087746620178,
0.1736629158258438,
-0.35073328018188477,
0.0706678256392479,
0.3230966031551361,
-0.43252721428871155,
0.6907861232757568,
1.4464786052703857,
-0.13081009685993195,
0.20636190474033356,
-0.22284641861915588,
0.4085492491722107,
-0.8652051091194153,
-0.3670252859592438,... |
Detailed Instructions: A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
Problem:பிரிக்ஸ் ஒப்பந்த நிதி செயற்குழு கூட்டம் மார்ச் 17 முதல் 20 வரை (புவேனோஸ் எயர்ஸ்)
Solution: | ਬ੍ਰਿਕਸ ਬਾਂਡ ਫੰਡ (ਬੀਬੀਐੱਫ) ਦੇ ਵਰਕਿੰਗ ਗਰੁੱਪ ਦੀ ਮੀਟਿੰਗ - 17 ਤੋਂ 20 ਮਾਰਚ (ਬਿਊਨਸ ਆਇਰਸ) | 8 | NIv2 | task1016_pib_translation_tamil_punjabi | zs_opt | [
0.47763779759407043,
0.5062780976295471,
-0.634026825428009,
0.22567084431648254,
-0.5433936715126038,
-0.9107697010040283,
1.0734953880310059,
-0.551025927066803,
0.7263481616973877,
0.5654702186584473,
-0.1477622240781784,
0.8090676069259644,
-0.6656883358955383,
0.49732324481010437,
-... |
Teacher:In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Teacher: Now, understand the problem? Solve this instance: Context: Pediatric patients with high-risk neuroblastoma (HR NB) often fail to re... | HR NB patients are often thrombocytopenic at relapse, raising concerns for therapies like ABT-263 despite its HR NB tumor targeting potential. Our data confirms that Bcl-2 selective inhibitors like ABT-199 are equally potent in HR NB in vitro and in vivo and given their lack of platelet toxicity, should be translated i... | 6 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.645393967628479,
-0.25245505571365356,
-0.3325445055961609,
0.20164993405342102,
0.19852802157402039,
-0.5158969163894653,
0.9343428611755371,
0.9318927526473999,
-0.06874865293502808,
-0.014034165069460869,
-0.8260101079940796,
0.5551671981811523,
-0.023182397708296776,
0.33719316124916... |
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
ACTION1: not wanting to talk to my mom ACTION2: not taking care of my roommate's dog when d... | no | 0 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
0.029655566439032555,
-0.16116704046726227,
0.3239481449127197,
0.40155869722366333,
-0.28953981399536133,
-0.5809978246688843,
-0.4229704737663269,
0.9307189583778381,
0.1689722239971161,
0.19829341769218445,
0.04402150958776474,
-0.37754112482070923,
-0.9079241752624512,
-1.0474698543548... |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Let me give you an example: CONTEXT: La historia de Japón (日本の歴史 o 日本史, Nihon no rekishi / Nihonshi?) e... | baja estabilidad térmica y química | 8 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.6341462135314941,
-0.3161643147468567,
-0.6326935291290283,
0.1935657113790512,
0.11254255473613739,
-0.25655868649482727,
0.5649003386497498,
1.0959551334381104,
-0.009339779615402222,
0.03532682731747627,
-0.5583317279815674,
0.4192352592945099,
-0.7308918237686157,
0.20520007610321045... |
Q: In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Are you a fan of mountain climbing?
A: | I prefer swimming. | 7 | NIv2 | task565_circa_answer_generation | zs_opt | [
-0.23596377670764923,
0.41770434379577637,
-0.3230244517326355,
-0.45730626583099365,
-0.20812274515628815,
-0.45109134912490845,
0.7815005779266357,
-0.08403144776821136,
0.3870673179626465,
-0.6142460703849792,
-0.505100667476654,
-0.29369011521339417,
-0.7752833962440491,
0.227327555418... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications ... | ordinal
| 5 | NIv2 | task212_logic2text_classification | fs_opt | [
0.11693540215492249,
-0.323323518037796,
-0.3365631699562073,
0.2428617924451828,
0.32879143953323364,
-0.44768598675727844,
0.7859705686569214,
0.6850022077560425,
0.31883853673934937,
0.034762751311063766,
-0.16329845786094666,
0.06115693971514702,
0.03231729939579964,
0.5133209228515625... |
Part 1. Definition
This task is about translating a given English language sentence to Spanish.
Part 2. Example
It's this amazing wonderful feeling and you know it when you get it.
Answer: Es ese sentimiento asombroso e increíble, y lo reconoces cuando lo sientes.
Explanation: This is a good example because the English... | Por lo tanto, no tenemos que preocuparnos mucho por ello. | 7 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.1353786736726761,
0.5526177883148193,
0.7000323534011841,
-0.11960531026124954,
-0.4934874176979065,
-1.5821824073791504,
0.6622129678726196,
1.045725703239441,
0.30962541699409485,
-0.37284088134765625,
-0.30387842655181885,
0.4151841104030609,
-0.6071389317512512,
0.046048518270254135... |
instruction:
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
question:
Hello! Do you have anything you can share about Belize?
Belize is located in Central America. Until 1973, it was known as British Honduras. Is there a particular subject you would li... | Kenya
| 9 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.6206260919570923,
0.33824050426483154,
-0.2978922426700592,
-0.3300447463989258,
0.2949584424495697,
-0.45388394594192505,
0.5451987981796265,
0.2727664113044739,
-0.30721718072891235,
-0.04499576985836029,
-0.3343089818954468,
0.4888886511325836,
-0.7257131338119507,
0.5998861789703369,... |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Example: Giraffes like Acacia leaves and hay, and they can consume 75 pounds of food a day.
Example solution: A giraffe can eat up to 75 pounds ... | Solution: if you do not select this policy , the user will not see the final dialog box of the kb database or updated updates . | 5 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.2335330694913864,
0.43425610661506653,
0.32657894492149353,
-0.2441607415676117,
-0.6312947273254395,
-1.0731700658798218,
0.34431883692741394,
0.514845073223114,
-0.41697171330451965,
-0.16847532987594604,
-0.3444391191005707,
-0.17192867398262024,
-0.5188263654708862,
0.69101488590240... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Това няма да проработи, а ще направи нормалното устойчиво производство в растениевъдството и градинарството невъзможно. | This would not work. It would make normal sustainable production in farming and horticulture impossible. | 0 | NIv2 | task271_europarl_translation | zs_opt | [
-0.10171505808830261,
1.0552754402160645,
0.43547505140304565,
-0.3015192747116089,
-0.22944214940071106,
-0.24622029066085815,
-0.17868739366531372,
0.22733166813850403,
0.32406896352767944,
-0.25897088646888733,
-0.9186921119689941,
0.24747447669506073,
-0.08192411065101624,
0.0764509141... |
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "Fal... | False | 3 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
-0.06487934291362762,
0.696269154548645,
-0.19267678260803223,
0.46139276027679443,
-0.21056915819644928,
-1.2583727836608887,
0.7632859349250793,
0.715718150138855,
0.059805382043123245,
-0.19122463464736938,
-0.44370049238204956,
0.017999358475208282,
-0.45996856689453125,
-0.10065262764... |
Q: In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
انبه (نام علمی:Mangifera) میوهای گرمسیری و گیاه آن از سردههای تیرهٔ سنجدیان است. خاستگاه انبه شبه جزیرهٔ هند، پاکستان، بنگلادش و آسیای جنوبشرقی است. این درخت ا... | ۳۵ تا ۴۰ متر | 7 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
0.3590787947177887,
0.6255923509597778,
-0.15602779388427734,
-0.537502646446228,
-0.49322497844696045,
-0.7594238519668579,
0.5900143980979919,
0.43976694345474243,
-0.0751338005065918,
0.13817574083805084,
-0.6152178049087524,
0.8084408044815063,
-0.7657890319824219,
0.04830637574195862,... |
TASK DEFINITION: In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your... | 23541
| 8 | NIv2 | task300_storycloze_order_generation | fs_opt | [
0.00038073258474469185,
0.6373187303543091,
-0.5510753393173218,
-0.15378054976463318,
-0.2067355215549469,
-0.046965546905994415,
0.5095928907394409,
0.7383999824523926,
-0.6184531450271606,
0.1723891794681549,
-0.7981458306312561,
-0.6741076111793518,
-0.9360149502754211,
-0.131959900259... |
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 to deter... | Yes
****
| 4 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.3404279947280884,
0.0433475524187088,
0.17635926604270935,
-0.1464717984199524,
-0.4814409911632538,
-1.0957636833190918,
1.2029720544815063,
0.8817999362945557,
-0.3771187663078308,
-0.37087053060531616,
-0.5153112411499023,
0.03532159700989723,
-0.9619817733764648,
0.13859006762504578,... |
Given a scientific question, generate a correct answer to it.
What's the name for an atom that has gained or lost an electron? | an ion | 0 | NIv2 | task591_sciq_answer_generation | zs_opt | [
1.0868096351623535,
0.9526945352554321,
-0.509391725063324,
-0.964090883731842,
-0.718192458152771,
-1.3288508653640747,
-0.17268945276737213,
-0.04808194562792778,
-0.0928482934832573,
-0.15719708800315857,
0.12395964562892914,
-0.11015352606773376,
-1.0133275985717773,
0.3874968290328979... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Example Input: Los árboles pueden echar raíces dentro.
Example Output: The trees can put their roots into it.
Example Input: La mayoría de la gente piensa en el espacio vacío o en un claro cielo azul o a veces en árboles ... | Then we tried it with my son, Dr. Tim Fischell, we tried it on some human patients who had to have a stent put in.
| 3 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.5110864639282227,
0.4695563018321991,
0.040625471621751785,
-0.2879553437232971,
0.03067869134247303,
-1.0445170402526855,
0.6672683954238892,
0.8839037418365479,
0.41160041093826294,
-0.48514753580093384,
-0.11579757928848267,
1.0888670682907104,
-0.3220684826374054,
0.0432115271687507... |
Detailed Instructions: 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 sentence.
Problem:Statement: Keeping all those planes, ... | 3 | 8 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
0.3973982334136963,
0.04121576249599457,
-0.15790635347366333,
-0.2647946774959564,
0.46585047245025635,
-1.1536805629730225,
1.1910443305969238,
1.106123447418213,
0.03244137391448021,
0.06787434220314026,
-0.5887677073478699,
-0.3081909418106079,
-0.6220120191574097,
-0.5372774600982666,... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | The government takes more money than you would like. | 8 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.4950212240219116,
0.15544502437114716,
0.1289951205253601,
-0.008875660598278046,
0.3230568766593933,
-0.7465906143188477,
-0.24842195212841034,
0.8328498601913452,
0.06295140832662582,
-0.3423003554344177,
-0.3537248373031616,
-0.2267909049987793,
-0.6336325407028198,
-0.25716492533683... |
Detailed Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a ... | C | 4 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
-0.21830184757709503,
-0.09443102777004242,
-0.2137622833251953,
0.20801281929016113,
0.3380339443683624,
0.19519665837287903,
0.27928221225738525,
0.9498260021209717,
0.08970709145069122,
0.1500137597322464,
-0.6467384696006775,
0.3149690628051758,
-0.046361640095710754,
-0.10486833006143... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Q: [[44, -42, 33, -21, 40], [-11, 30, 11, 6], [-2,... | [51226560, -21780, 74, 2940, 86400, 12, 0, -476100, -9048, -7460586] | 4 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.3074394464492798,
0.4847288131713867,
-0.5796295404434204,
-0.48872050642967224,
-0.2659163177013397,
-0.14495882391929626,
1.581908941268921,
-0.2808818817138672,
-0.1998024880886078,
-0.39241689443588257,
-1.158313274383545,
0.26768943667411804,
-0.5325107574462891,
-0.180662542581558... |
You are given a sentence in Gujarati language and we ask you to translate those to the English language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the literal mea... | A toplevel node in XML file `%s' is rather than <entry>, ignoring
| 0 | NIv2 | task1351_opus100_translation_gu_en | fs_opt | [
-0.4755634069442749,
0.35649019479751587,
-0.538109540939331,
-0.5461947917938232,
-0.13250026106834412,
-1.2905727624893188,
0.9994794130325317,
0.1707904040813446,
-0.1678186058998108,
-0.15345951914787292,
-0.17433473467826843,
0.23459962010383606,
-0.6163065433502197,
0.123378232121467... |
Given the task definition and input, reply with output. This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, o... | DISSIMILAR | 5 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.8783206343650818,
0.4903569519519806,
0.47855180501937866,
-0.38302838802337646,
-0.17295488715171814,
0.3921548128128052,
0.8599859476089478,
0.48521173000335693,
0.6608575582504272,
-0.003997183870524168,
-0.9098842144012451,
-0.15116700530052185,
-0.7719746232032776,
0.07062701880931... |
Teacher:In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Teacher: Now, understand the problem? Solve this instance: In 1935, murderer Mattie Appleyard (James Stewart),... | Answer: Willis Hubbard. | 6 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.3876376450061798,
0.3321368098258972,
-0.5984611511230469,
-0.28805631399154663,
0.31959253549575806,
-0.28316518664360046,
0.6777459383010864,
0.5317846536636353,
-0.35712382197380066,
0.10612332075834274,
-0.00448974035680294,
0.37318694591522217,
-0.4155804514884949,
-0.03462990373373... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
These are junk! Both bulbs have burned out with... | positive | 2 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.4049074649810791,
-0.4207598567008972,
-0.006816409528255463,
-0.0352514311671257,
0.21240386366844177,
-0.2507912814617157,
0.3891259431838989,
1.0397653579711914,
-0.18194302916526794,
0.5433908700942993,
0.12125502526760101,
0.1032329872250557,
-0.3804694712162018,
-0.623814761638641... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Galician.
See one example below:
Problem: Now, it's next door, or in my house.
Solution: Agora, está ao lado, ou na miña casa.
Explanation: The English sentence is correctly translated into Galician, because t... | Por sorte para nós, case todos aos que lles ofrecemos o Premio deciden aceptalo. | 4 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
-0.49491727352142334,
0.8904461860656738,
0.254062294960022,
-0.8265135288238525,
-0.17008230090141296,
-1.4020440578460693,
0.3526145815849304,
0.5188857316970825,
0.10679681599140167,
-0.022832702845335007,
-0.3835306167602539,
0.6700819730758667,
-1.2046031951904297,
0.2664548456668854,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | No | 1 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.3428782820701599,
0.3908342719078064,
0.4498395323753357,
-0.22259828448295593,
-0.37810465693473816,
-0.65453040599823,
1.3881826400756836,
0.3668311834335327,
-0.8115832805633545,
-0.5024508833885193,
-0.41988033056259155,
-0.7028407454490662,
-0.47149786353111267,
0.2547963261604309,
... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Fate in modo che sia il pubblico a mettere insieme le cose.
| اجعل الجمهور يضع الأمور على بعضها. | 5 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.3003283739089966,
0.5911246538162231,
0.23901519179344177,
-0.2774544656276703,
0.04133288562297821,
0.34313029050827026,
0.3245338201522827,
0.05867830291390419,
0.13575273752212524,
0.2682361602783203,
-0.7000894546508789,
0.44400206208229065,
-0.5566754937171936,
0.30097755789756775,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Example Input: Nawet gaz istniejący w gromadzie nie tłumaczy... Nawet gaz istniejący w gromadzie nie tłumaczy...
Example Output: Or if we look in other parts of the electromagnetic spectrum, we see that there's a lot of gas ... | All right. They look like org charts.
| 3 | NIv2 | task1256_ted_translation_pl_en | fs_opt | [
-0.6153370141983032,
1.0638372898101807,
0.078128382563591,
-0.6563982367515564,
0.20294082164764404,
-1.1026842594146729,
1.1132464408874512,
-0.3284006714820862,
-0.1667654812335968,
0.16558533906936646,
-0.351813405752182,
0.4611777365207672,
-0.6164882183074951,
-0.14345307648181915,
... |
Part 1. Definition
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Part 2. Example
地球が今よりも無垢だった時代を訪れたかのようでした
Answer: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Explanation: The Japanese sentence is correctly translated into Arabic, because the meaning is preserve... | لقد كانوا معرضين لهذا الوجه لمجتمعنا ، لإزدهارنا. | 7 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
0.11317680776119232,
0.5669365525245667,
-0.21293652057647705,
-0.7848648428916931,
-0.1922387033700943,
-0.12796279788017273,
0.7829247713088989,
-0.20521627366542816,
0.07074503600597382,
-0.07419677078723907,
-0.8461421728134155,
0.2263244390487671,
-0.7485867738723755,
0.16972817480564... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
Input: Cons... | Output: [-54, -46]
| 2 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
-0.7875808477401733,
0.916617751121521,
-0.042693816125392914,
-0.37010180950164795,
0.03398868441581726,
-0.05700942128896713,
0.8204429149627686,
0.6210825443267822,
0.2995675504207611,
0.26234376430511475,
-0.5801401138305664,
-0.05482044816017151,
-0.05066739767789841,
-0.3881414532661... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ... | Papers online for movies | 0 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
-0.3012271225452423,
0.7148821353912354,
-0.21151089668273926,
0.2824324071407318,
0.020304864272475243,
0.3571903109550476,
0.9324902296066284,
0.7208893299102783,
0.01676265150308609,
0.4951982796192169,
0.011247209273278713,
-0.7433640956878662,
-0.9342131018638611,
-0.166538804769516,
... |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of... | Yes | 8 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.00983422715216875,
0.2511258125305176,
0.3816649913787842,
-0.22817592322826385,
-0.33807048201560974,
-1.1505768299102783,
1.2622268199920654,
0.4460761547088623,
-0.4757416248321533,
-0.5217564105987549,
-0.2797652781009674,
-0.37592583894729614,
-0.8518282175064087,
0.2073174715042114... |
Teacher:The provided file includes English sentences, and we ask you to translate those to the Hindi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial ... | प्राचीन चिकित्सा शास्त्रों में यह कहा गया है कि यदि किसी भी प्रकार के प्रमेह को उपेक्षित किया जाये तो अंतत : वह मधुमेह बन जाता है जो बाद में लाइलाज हो जाता है . | 6 | NIv2 | task1353_hind_encorp_translation_en_hi | zs_opt | [
-1.2125111818313599,
-0.005399059038609266,
0.3026791214942932,
-0.6116325855255127,
0.03542438894510269,
-0.9497057199478149,
0.6149347424507141,
0.4769134223461151,
-0.36538204550743103,
-0.45783698558807373,
-0.32113683223724365,
-0.054288581013679504,
-0.5686652660369873,
-0.0349876210... |
Detailed Instructions: Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable ... | शायद आप शहर के उपनगरों में एक सुपरमार्केट ढूँढ़ रहे हों । | 9 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.8582556247711182,
0.6413373947143555,
0.06544038653373718,
-0.17101114988327026,
-0.5212819576263428,
-0.3914644718170166,
0.25328049063682556,
0.7145504355430603,
-0.3449402451515198,
-0.9128459692001343,
-1.0959056615829468,
0.1270294040441513,
-0.4743184745311737,
0.6899971961975098,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
見た目に対する態度が変われば年齢もまた問題となります
Output: | العمر شيئ آخر عندما يتغير موقفنا تجاه مظهرنا. | 1 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.03568962216377258,
0.41271865367889404,
0.05056978389620781,
-1.1029136180877686,
-0.06106562167406082,
0.4923919439315796,
0.7343921065330505,
0.20883017778396606,
0.5157432556152344,
0.16583922505378723,
-0.34340569376945496,
-0.1904059648513794,
-1.102722406387329,
0.5343741774559021... |
Definition: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e.,... | yes | 2 | NIv2 | task472_haspart_classification | zs_opt | [
-0.5237704515457153,
0.32410866022109985,
0.5018095970153809,
0.13420039415359497,
-0.016752589493989944,
-0.6695222854614258,
-0.07087689638137817,
0.7922643423080444,
1.1218078136444092,
-0.38889986276626587,
-0.7100135087966919,
-0.08939166367053986,
-0.209687739610672,
-0.2171585559844... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as... | 1 | 1 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.7588768005371094,
0.33046823740005493,
-0.9707705974578857,
0.4135637879371643,
-0.047033727169036865,
0.39294347167015076,
0.7565760612487793,
0.8084186315536499,
-0.06724266707897186,
0.8928106427192688,
-0.11419437825679779,
1.0446672439575195,
-0.5156551599502563,
0.29169100522994995... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Na RV, a vossa consciência é o meio. | En RV, tu conciencia es el medio. | 0 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.6424258947372437,
0.02865983359515667,
0.5069940090179443,
-0.16039788722991943,
-0.6883196234703064,
0.3152603209018707,
0.4741722345352173,
1.0049152374267578,
1.0328917503356934,
-0.5954772233963013,
-0.4319418966770172,
-0.36397814750671387,
0.05048128217458725,
0.36634522676467896,... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Problem:「ねぇこうしたら役に立ちますか ？ 」
Solution: | "خوب- آیا این کمکی میکنه اگر -" | 8 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
0.04211519658565521,
0.8723301291465759,
0.3405730128288269,
0.6840459704399109,
-0.09598080068826675,
-0.655776858329773,
1.481213927268982,
0.7335299253463745,
0.3887768089771271,
0.36287569999694824,
-0.8086586594581604,
0.7966790795326233,
-0.9323258996009827,
0.2632904648780823,
0.0... |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Que percentagem destas pessoas tem uma remuneração variável?
| Ile procent osób ma zmienne wynagrodzenie? | 5 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-1.2063418626785278,
1.0772631168365479,
-0.0013413822744041681,
-0.11916407942771912,
-0.18717043101787567,
0.0987459197640419,
0.09355255216360092,
0.06994761526584625,
0.5803552865982056,
-0.3808709979057312,
-0.28906887769699097,
0.25674572587013245,
-0.08815588057041168,
0.05212005972... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
One example: (Śmiech) Opublikował wiele filmów o przyrodzie.
Solution is here: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Explanation: The Polish sentence is correctly translated into Italian, because t... | Altri paesi ove i germi si trasmettono con l'acqua, e gli organismi evolveranno verso un alto livello di pericolosità, vero? | 6 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-1.0497369766235352,
0.6663193702697754,
-0.2327781766653061,
0.0716652125120163,
-0.8233372569084167,
-0.15308834612369537,
0.13293839991092682,
0.19328734278678894,
-0.3814120292663574,
-0.7529590129852295,
-0.4977481961250305,
0.36011505126953125,
-0.6469191312789917,
0.2685105800628662... |
Given the task definition and input, reply with output. In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjuncti... | VBD | 5 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.12125863134860992,
0.25069332122802734,
-0.3389345109462738,
0.3899631202220917,
0.12551835179328918,
-0.9274081587791443,
0.700674831867218,
0.858073353767395,
-0.0642082691192627,
0.1434997022151947,
-0.5728058815002441,
0.1712629646062851,
-0.35602617263793945,
-0.10142307728528976,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
De cualquier forma, este es el punto, me recuerda a esto, que es una señal que se ve en cada esquina de las calles de Ámsterdam. | Jest taka rzecz, którą przypomina mi znak zauważany na każdej ulicy w Amsterdamie. | 0 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
0.31793731451034546,
0.5558586716651917,
-0.5058096647262573,
-0.8466647863388062,
-0.08005187660455704,
-0.4729054272174835,
1.2458252906799316,
0.4829772710800171,
0.6828369498252869,
-0.5659387707710266,
-0.25432059168815613,
0.9264222979545593,
-0.5222592949867249,
0.6302787065505981,
... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Q: ['j', '3425', 'Q', 'H', '747', 'Y', '955', 'v', 'H', '9229', 'f', '3803', '1151', '6833', 'x', '6447', '8833', '4227', 'q', 'g', 'f', 'z', '1137', '2143', 't']
... | 5685, 107, 1591, 3391, 5497, 7595, 6829, 617, 6053, 2285, 1347, 9945, 3895
****
| 4 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
0.07221619784832001,
-0.19784502685070038,
-0.19377097487449646,
-0.38231658935546875,
-0.2452835887670517,
-0.6538887023925781,
1.0256247520446777,
0.31411948800086975,
-0.8520631194114685,
0.6516822576522827,
-0.8421496152877808,
-0.24981281161308289,
-0.4155103266239166,
0.4071364402770... |
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... | Solution: round_eq { sum { all_rows ; severe tropical cyclones } ; 59 } | 5 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.5928971171379089,
-0.012334800325334072,
-0.44183218479156494,
0.4838531017303467,
0.2330239862203598,
-0.5771877765655518,
0.30388179421424866,
0.27424660325050354,
0.0002596575068309903,
-0.2686253786087036,
-0.4397212862968445,
0.17822985351085663,
-0.2290901243686676,
0.4358826577663... |
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 "Inversion" base... | Original | 4 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.42972332239151,
0.7878211140632629,
0.4801792502403259,
0.006644070148468018,
-0.15468643605709076,
-0.7513883709907532,
0.6385568380355835,
0.9308617115020752,
0.05738731846213341,
-0.3746236562728882,
-0.756242036819458,
-0.07039560377597809,
-0.9947443604469299,
-0.08987870812416077,... |
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 to determ... | Yes | 4 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.23850706219673157,
0.5543912649154663,
0.5174240469932556,
-0.6036266684532166,
-0.5698775053024292,
-0.760539174079895,
1.4039967060089111,
0.08502528816461563,
-0.7001348733901978,
-0.6067361235618591,
-0.47303280234336853,
-0.3625950217247009,
-0.5867583751678467,
0.36259031295776367,... |
Instructions: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so t... | [9, 5, -15] | 3 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.34602344036102295,
0.23861336708068848,
-0.8101194500923157,
-0.2546229958534241,
0.18779650330543518,
-0.1808895766735077,
1.2884072065353394,
0.35798192024230957,
0.1438169777393341,
-0.2836254835128784,
-0.4504629373550415,
-0.3406773507595062,
-0.30823755264282227,
0.1069932281970977... |
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.
Q: [167, 49]
A: | [502, 148] | 4 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.6703826189041138,
0.9876154661178589,
-0.08857499063014984,
-0.9101279973983765,
-0.3784673810005188,
-0.02397100254893303,
1.2879542112350464,
-0.08324787765741348,
0.29319965839385986,
0.4560679793357849,
-0.6075471639633179,
0.13884365558624268,
-0.4387442469596863,
-0.19226887822151... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | True
| 6 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.5103492736816406,
0.3379220962524414,
-0.5667449235916138,
-0.274649053812027,
-0.4810656011104584,
0.17688527703285217,
0.7628172636032104,
0.7798442244529724,
0.3841763734817505,
0.04974012076854706,
-0.13382825255393982,
0.5425668954849243,
-0.504740834236145,
0.3244938254356384,
0... |
Detailed Instructions: 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 foll... | 54. | 9 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.8260849118232727,
0.3803749084472656,
-0.7454843521118164,
0.2814309000968933,
0.03245184198021889,
-0.634584903717041,
0.2978413701057434,
0.308903306722641,
-0.0035634716041386127,
-0.0076818265952169895,
-0.4545026123523712,
0.3021538257598877,
-0.5262667536735535,
0.09484368562698364... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` for Yes or... | a | 9 | NIv2 | task232_iirc_link_number_classification | fs_opt | [
0.262868732213974,
0.2888738512992859,
-0.2675284743309021,
-0.1572793424129486,
0.09590116888284683,
-0.34630030393600464,
1.4335753917694092,
0.5260631442070007,
0.1607525497674942,
0.09581218659877777,
-0.5962386131286621,
0.09806525707244873,
-0.22109773755073547,
0.26313358545303345,
... |
instruction:
In this task, you're given a passage, 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'.
question:
Passage: Andrew Sluyter ... | Answer: Pennsylvania
| 9 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.7722577452659607,
-0.06407538056373596,
-0.1997770220041275,
-0.22339773178100586,
0.4333081841468811,
-0.3824205994606018,
0.40291154384613037,
1.136965274810791,
0.02199270948767662,
0.0679813101887703,
-0.20162197947502136,
0.1606714129447937,
-0.5137794613838196,
-0.36430490016937256... |
Given the task definition, example input & output, solve the new input case.
Given a text passage, come up with an appropriate title for it. The title should accurately represent what the main focus of the passage is. The title of a passage may be present in the first few sentences of the passage and/or be referred to ... | Ram Nath Kovind | 1 | NIv2 | task769_qed_summarization | fs_opt | [
0.24099119007587433,
0.6008586287498474,
-0.4286748170852661,
0.5364993810653687,
0.2492181658744812,
0.0561075285077095,
0.5311553478240967,
0.3733947277069092,
-0.48449039459228516,
0.7703039646148682,
-0.3471826910972595,
0.9149999618530273,
-0.5004507303237915,
0.18440009653568268,
0... |
Detailed Instructions: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Q: For ideal g... | Paraphrase | 9 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.31596463918685913,
0.9134901165962219,
0.01593538373708725,
-1.1160063743591309,
-0.03437262028455734,
-0.7908816933631897,
0.8642803430557251,
0.03312154859304428,
0.12583452463150024,
-0.3716299533843994,
-0.5410304665565491,
0.484362930059433,
-0.45565953850746155,
0.2431021332740783... |
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.
Q... | Where do you hit to test your ankle jerk reflexes?
Achilles tenden
****
| 4 | NIv2 | task671_ambigqa_text_generation | fs_opt | [
-0.8428235054016113,
0.09048520028591156,
0.07784746587276459,
-0.487933874130249,
-0.09742651879787445,
0.1886960119009018,
0.054420292377471924,
0.7429314255714417,
-0.3263920545578003,
0.06855356693267822,
-0.22733058035373688,
-0.0902172103524208,
0.07190807908773422,
-0.09924449771642... |
This task is about translating a given English language sentence to Yoruba language.
Only showing learners that are enrolled in this class
Ń ṣàfihàn àwọn akẹ́kọ̀ọ́ tí ó forúkọsílẹ̀ ní yàrá ìkẹ́kọ̀ọ́ yìí nìkan
Two carts near the north gate of Gangneung Olympic Park.
Wọ́n gbé àtẹ ìwé méjì sí tòsí ẹnubodè àríwá ní Gangn... | Àjò kì í dùn kódídẹ má rèWó.
| 0 | NIv2 | task1685_menyo20k_translation | fs_opt | [
-0.1328549087047577,
0.39582955837249756,
-0.2650144100189209,
0.024436652660369873,
-0.6120046377182007,
-0.2455495148897171,
-0.07813078165054321,
0.2358364462852478,
0.3958949148654938,
-0.4256216287612915,
0.07599872350692749,
-0.1253543347120285,
-0.7091712951660156,
0.354322016239166... |
Q: This task is to translate a news commentary statement given in German language into Spanish 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.
Männer und Frauen hatten nicht ihr Leben riskier... | Los hombres y las mujeres no habían arriesgado sus vidas simplemente para volver a la época anterior de privilegios de clase y privación social. | 7 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.6838733553886414,
0.34466418623924255,
0.044763147830963135,
-0.5297838449478149,
-0.06742749363183975,
-0.01796075329184532,
0.6576714515686035,
0.9820797443389893,
0.12141676247119904,
-0.3760911822319031,
-0.4722282290458679,
0.4641328454017639,
-0.42003268003463745,
-0.3967509567737... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Example Input: 断続的な絶食つまり食事の間隔を空けることこれは神経新生を向上させます
Example Output: O xaxún intermitente — espaciar o tempo entre comidas — aumenta a neuroxénese.
Example Input: 赤い線です
Example Output: Está a deixar un rastro de tinta ver... | Se queremos entender mellor e descodificar estas doenzas, hai que deixar de tratalas como graves e illadas, para considerar e medir todo o que afecta a nosa saúde.
| 3 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.7240192890167236,
-0.17521138489246368,
0.01927599310874939,
-0.9113948941230774,
-0.37243854999542236,
-0.8754149675369263,
0.8108582496643066,
1.1694546937942505,
-0.24939745664596558,
-0.23167559504508972,
-0.4341316819190979,
-0.31151002645492554,
-1.4729845523834229,
0.467712163925... |
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creati... | Do people look forward to Cinderella matches?
| 7 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
0.9392547607421875,
0.15878528356552124,
-0.24385085701942444,
-0.09479866176843643,
0.3826243281364441,
-0.41027259826660156,
0.24032235145568848,
0.5438317060470581,
-0.1741458922624588,
-0.2558637261390686,
-0.26897430419921875,
0.028673063963651657,
-0.9396762847900391,
-0.084140159189... |
Detailed Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make t... | Funny | 8 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.0858323723077774,
0.39454078674316406,
0.4879203736782074,
-0.07061745226383209,
-0.31148964166641235,
-0.5392788648605347,
-0.10883522033691406,
0.8933029174804688,
0.09802170842885971,
-0.3257472813129425,
-0.2866111099720001,
-0.903583824634552,
-0.7560747861862183,
0.0339691936969757... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
وترليون واحد من ذلك يذهب إلى الأوبك.
A: | וטריליון אחד מתוכם, הולך לאופ "" ק. | 7 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.5408025979995728,
0.8800690174102783,
-0.8462220430374146,
-0.06928785145282745,
-0.5188971757888794,
0.26791685819625854,
0.3335866630077362,
-0.3771324157714844,
0.9500412940979004,
-0.5672870874404907,
-0.6345332860946655,
-0.5160910487174988,
0.0024925009347498417,
-0.03354538977146... |
Given the task definition and input, reply with output. 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 choos... | Literature | 5 | NIv2 | task521_trivia_question_classification | zs_opt | [
-0.08114992082118988,
0.7882440090179443,
0.11610852181911469,
-0.00887778028845787,
-0.25629469752311707,
0.4834688901901245,
-0.11884769797325134,
0.32344549894332886,
0.20085567235946655,
-0.2716716229915619,
-0.997482419013977,
0.4642164707183838,
-0.7096752524375916,
0.210658445954322... |
In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restriction where a phrase a... | bad | 0 | NIv2 | task1560_blimp_binary_classification | zs_opt | [
0.047061219811439514,
0.4234728217124939,
-0.001510883797891438,
-0.30085664987564087,
-0.892439067363739,
-0.5898059606552124,
0.9365211725234985,
0.1554047167301178,
0.30026233196258545,
-0.42573124170303345,
-0.9420292973518372,
-0.17166174948215485,
-0.5667546391487122,
0.3603750467300... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Input: Fortunatamente, ho un fantastico team di colleghi e collaboratori senza i quali questo lavoro non sarebbe possibile.
Output: | למזלי, היה לי ועדיין יש לי צוות מדהים של עמיתים ומשתפי פעולה בצוות שלי, וזו הדרך היחידה שהעבודה הזו יכולה להתבצע. | 3 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.7508664131164551,
1.0554308891296387,
-0.13870945572853088,
0.08003354072570801,
-0.022390127182006836,
0.15392158925533295,
-0.3807165324687958,
0.11404146254062653,
0.8449099063873291,
-0.5159597992897034,
-0.8024623990058899,
-0.5937446355819702,
-0.5120298266410828,
-0.4981265664100... |
You will be given a definition of a task first, then some input of the task.
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without ... | last nite i be at work very late it be untill the hour i hate i want to go home but instead i call my mom on the phone it be very cold outside there be nowhere warm i can hide my cool friend be with me that be all i can see because of that the job be such a blast that i can never forget in the past dinner be so much fu... | 1 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.5089787840843201,
1.5249650478363037,
0.35875213146209717,
-0.38555097579956055,
-0.604546308517456,
-0.1872284859418869,
0.7704590559005737,
0.28331729769706726,
-0.026418372988700867,
-0.2516157031059265,
-0.4206641912460327,
0.3011198341846466,
-0.7210384607315063,
0.0864685922861099... |
Q: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[455, 601, 455, -873, 992, -403, 576, -191, 243, -172, 93, -234, 527]
A: | [460, 600, 460, -870, 990, -400, 580, -190, 240, -170, 90, -230, 530] | 7 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-1.111006498336792,
0.6805012226104736,
-0.028519606217741966,
0.05058916658163071,
-0.3555077314376831,
-0.6008377075195312,
0.7344703674316406,
-0.24976594746112823,
-0.3746909499168396,
0.3249499797821045,
-0.7669450640678406,
-0.08009636402130127,
-0.6368310451507568,
0.188852280378341... |
TASK DEFINITION: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
PROBLEM: এই রেস্টুরেন্টে আমাদের সবচেয়ে অপ্রীতিকর অভিজ্ঞতা ছিল।
SOLUTION: negative
PROBLEM: খাবার খুব খারাপ ছিল। তাছাড়া খাবার... | positive
| 8 | NIv2 | task1496_bengali_reviews_sentiment_classification | fs_opt | [
-0.8927503824234009,
0.3568382263183594,
0.4854607582092285,
-0.4642993211746216,
-0.3090081810951233,
0.2853241264820099,
0.9354504942893982,
0.5238717794418335,
0.09298504143953323,
-0.35502511262893677,
-0.27144259214401245,
-0.12290672212839127,
-0.399932324886322,
0.10871505737304688,... |
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.
--------
Question: The last thing h... | Social Science
| 7 | NIv2 | task521_trivia_question_classification | fs_opt | [
0.06669361144304276,
0.5983366966247559,
0.010859576985239983,
-0.5826455950737,
-0.03693997114896774,
-0.6020576357841492,
0.03491472452878952,
0.5356109142303467,
0.3026992678642273,
-0.24192918837070465,
-0.6662226915359497,
0.10637080669403076,
-1.1121811866760254,
-0.10789185762405396... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Y... | No | 0 | NIv2 | task1439_doqa_cooking_isanswerable | fs_opt | [
0.6246985197067261,
-0.2584993243217468,
-0.7758846282958984,
0.11722832918167114,
0.39768677949905396,
-0.8832290768623352,
0.9814246296882629,
0.7641927599906921,
-0.44036316871643066,
-0.03573052957653999,
0.5836291313171387,
0.5022987127304077,
-0.5889929533004761,
0.307809054851532,
... |
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 name entity, then retur... | None
| 1 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
0.09577789902687073,
0.06704914569854736,
0.17865030467510223,
-0.1637943983078003,
-0.4296703636646271,
-0.5100418329238892,
0.6094468235969543,
0.0024424840230494738,
0.47895199060440063,
-0.538658618927002,
-1.0455973148345947,
0.6005778312683105,
0.017693031579256058,
0.156052857637405... |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Q: Problem: a cyclist bikes x distance at 10 miles per hour and returns ove... | e | 4 | NIv2 | task1678_mathqa_answer_selection | zs_opt | [
0.6577482223510742,
0.013697421178221703,
-0.36542797088623047,
0.34741050004959106,
-0.41017672419548035,
-0.11518628895282745,
0.2725241482257843,
0.5272892713546753,
-0.5362106561660767,
0.40287381410598755,
-0.7016888856887817,
0.3094574511051178,
0.2185988873243332,
-0.316692918539047... |
Q: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surp... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion | 7 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.0806596577167511,
-0.07062074542045593,
-0.08269883692264557,
-0.8146073818206787,
0.3361724317073822,
-0.565996527671814,
0.39371246099472046,
0.16915321350097656,
-0.33096638321876526,
0.12379316240549088,
0.889112114906311,
0.5860147476196289,
-1.086746335029602,
0.1879870593547821,
... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Ex Input:
[737, 'z', 4401, 6317, 't', 'B', 3815, 'm', 'G', '8709', '4749', 'J', '8885', 'k', 'Y', '3083', 'X', '8267', 'T', 'A', 'A', '7049', '6681', '6111', 's', 't', 'h', 1687, 'T', 'O', 'A', 'r', 'U', 6703, 'u', 'm'... | Q, 1427, 7849, 7875, t, C, b, 9469, J, 6495, 3819, 7565, 711, f, 309, 9815, 5399, 4971, Q
| 1 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.3205493688583374,
0.18200430274009705,
-0.35159382224082947,
-0.3451420068740845,
-0.11847135424613953,
-0.002811628393828869,
0.4727126955986023,
0.749069094657898,
-0.5282703042030334,
0.19466285407543182,
-0.6540912985801697,
0.5609171986579895,
-0.14370062947273254,
0.31448116898536... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Non molto tempo dopo ricevette un'altra richiesta dalla responsabile dell'EPA della California, che la usò nella sua presentazione a una conferenza internazionale sul cambiamento climatico a Sacramento, lo scorso anno.
... | E non moito despois diso, recibiu outra petición de copia para a xefa do EPA en California quen o usou como parte de súa presentación na conferencia internacional sobre o cambio climático en Sacaramento o ano pasado. | 7 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.24756988883018494,
0.7393077611923218,
0.048850975930690765,
-0.3508965075016022,
-0.27942177653312683,
-1.9212828874588013,
-0.288128137588501,
0.342413067817688,
-0.696494996547699,
0.26480066776275635,
0.4382568299770355,
0.4374086260795593,
-0.4240207076072693,
-0.03409411758184433,... |
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Q: Owing to an emergency, I want to cancel my recent reservation. Can you help me in cancel reservation?
A: | customer | 4 | NIv2 | task575_air_dialogue_classification | zs_opt | [
-0.18973472714424133,
0.3564726710319519,
0.18581755459308624,
-0.7381411790847778,
-0.0732974261045456,
-0.31115809082984924,
0.3361256718635559,
0.14480996131896973,
0.6277309656143188,
0.5278117656707764,
-0.022044353187084198,
-0.5758757591247559,
-1.2075238227844238,
0.070746779441833... |
Q: In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
PPARgamma controls CD1d expression by turning on retinoic acid synthesis in developing human dendritic cells.
A: | CD1d | 7 | NIv2 | task1482_gene_extraction_chemprot_dataset | zs_opt | [
0.5322896242141724,
0.7875900268554688,
-0.8184707760810852,
-1.2051514387130737,
-0.8448585867881775,
-0.2072424292564392,
0.42603179812431335,
0.7487663626670837,
0.2828349173069,
0.02482689544558525,
-1.114259123802185,
-0.2666323482990265,
-0.7926409244537354,
-0.19881987571716309,
-... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Example input: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
Example output: ... | What will Tracy want to do next? | 3 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.5919290781021118,
0.9032976627349854,
0.035007692873477936,
-0.09088405966758728,
-0.14325113594532013,
-0.792123556137085,
0.27151796221733093,
-0.24200573563575745,
0.5483139157295227,
0.4389888048171997,
-0.27794232964515686,
0.3354165256023407,
-0.5180371999740601,
0.1452097892761230... |
Teacher: In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Hello. How may I aid you today?
Solut... | customer | 2 | NIv2 | task575_air_dialogue_classification | fs_opt | [
-0.1672024130821228,
-0.028236674144864082,
0.2699905037879944,
-0.5584096908569336,
0.10266905277967453,
-0.243085116147995,
0.1722971647977829,
0.13627299666404724,
0.07698321342468262,
0.3652978539466858,
0.06266620755195618,
-0.2911367416381836,
-1.0063068866729736,
-0.5996638536453247... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. 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 grammatically correct version of the input stream. Stream words ar... | ['We', 'saw', 'earlier', 'that', 'lots', 'of', 'times', 'probabilities', 'or', 'counts', 'of', 'by', 'grams', 'or', 'trigrams', 'would', 'be', 'zero.', 'What', 'do', 'we', 'do', 'in', 'these', 'cases?', "Let's", 'think', 'about', 'this', 'by', 'starting', 'with', 'these', 'sheep', "what's", 'called', 'The', 'Shannon', ... | 6 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
0.7779432535171509,
-0.12044645845890045,
-0.2218731790781021,
0.10853345692157745,
0.6125705242156982,
-0.5777944326400757,
0.08004655689001083,
1.1289918422698975,
-0.7123695611953735,
0.20874430239200592,
-0.218420147895813,
-0.02942042425274849,
-0.2584973871707916,
-0.3886672258377075... |
Given the task definition and input, reply with output. You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
This key won't open the Jock.
| 1 | 5 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
-0.23481352627277374,
1.0320734977722168,
-0.4025416970252991,
-0.009107012301683426,
-0.11150217056274414,
0.05129040777683258,
0.5821073055267334,
0.39737874269485474,
0.07580515742301941,
-0.31100529432296753,
-0.4868656396865845,
-0.5315618515014648,
-0.3182658851146698,
-0.49600589275... |
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.
Let me give you an exa... | [41, 12, 310, 72, 20, 316, 40] | 8 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.2817297577857971,
0.7032663822174072,
-0.413267582654953,
-0.665565013885498,
-0.04459603130817413,
-0.5691400766372681,
1.1713097095489502,
0.3693475127220154,
-0.1765732616186142,
0.35086554288864136,
-0.7402113080024719,
-0.18869049847126007,
-0.8096556067466736,
-0.27630874514579773... |
Given the task definition and input, reply with output. You are given a sentence in English. Your job is to translate the English sentence into Italian.
Oyster reefs also covered about a quarter of our harbor and were capable of filtering water in the harbor in a matter of days.
| I banchi di ostriche coprono quasi un quarto del nostro porto e sono in grado di filtrare l'acqua del porto nel giro di qualche giorno. | 5 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
0.09256070852279663,
0.9938502311706543,
-0.34887462854385376,
0.11143209040164948,
-0.2791682183742523,
-0.8183953762054443,
0.07290837168693542,
0.6852701902389526,
0.031602464616298676,
-0.14646929502487183,
0.0026618805713951588,
0.2691379189491272,
-0.18848609924316406,
0.190982848405... |
Given the task definition, example input & output, solve the new input case.
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: ... | ¿Cómo se titula el documental que desvela la presunta implicación de Cuba en la muerte de Kennedy? | 1 | NIv2 | task1335_sqac_question_generation | fs_opt | [
1.1037406921386719,
0.24703991413116455,
-0.7838807106018066,
-0.15990638732910156,
0.4517242908477783,
0.5224685668945312,
1.0784056186676025,
1.0860446691513062,
-0.027308566495776176,
0.3777289390563965,
0.06018444895744324,
0.1496506631374359,
-0.3946482837200165,
0.1843648999929428,
... |
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 to determ... | No | 4 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.14126352965831757,
0.3177276849746704,
0.45530804991722107,
-0.40588709712028503,
-0.5589505434036255,
-0.7363826632499695,
0.8471492528915405,
0.6683608293533325,
-0.5603293776512146,
-0.6332675814628601,
-0.5449556112289429,
-0.4727904200553894,
-0.5904770493507385,
0.17056941986083984... |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 1
****
| 4 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.6795448064804077,
0.8523165583610535,
0.1950741410255432,
0.23548761010169983,
0.09942754358053207,
-1.1197350025177002,
0.13178002834320068,
0.306592732667923,
-0.12037673592567444,
0.22589081525802612,
-0.5530781745910645,
-0.0701618641614914,
-0.8630682229995728,
-0.11887864768505096,... |
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 o... | NUM | 8 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.2889217436313629,
0.08346053957939148,
-0.29750341176986694,
0.3577321767807007,
-0.35855838656425476,
-0.5093522667884827,
0.6946983337402344,
0.825480580329895,
-0.29517602920532227,
-0.06433849781751633,
-0.7739698886871338,
0.052467405796051025,
-0.4581105709075928,
0.299467325210571... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Input: Consider Inp... | Output: rain
| 2 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
-0.10726994276046753,
1.0502396821975708,
-0.4768962860107422,
-0.49950554966926575,
0.2301139235496521,
-0.6236632466316223,
0.27919965982437134,
0.8537235260009766,
0.18336424231529236,
-0.027597106993198395,
0.44525155425071716,
0.0980696976184845,
-0.3009651303291321,
-0.33507853746414... |
You will be given a definition of a task first, then some input of the task.
Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday m... | How many times a year does the average viewer watch this film? | 1 | NIv2 | task015_mctaco_question_generation_frequency | zs_opt | [
-0.8902089595794678,
0.36734068393707275,
0.07253129780292511,
0.12108417600393295,
-0.2377856820821762,
-0.31847500801086426,
0.4483826458454132,
0.22201132774353027,
-0.5749173164367676,
-0.1546204388141632,
-0.27446794509887695,
-0.05431220680475235,
-0.1807180941104889,
0.3040133118629... |
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 of this corpus is -
'.... | ADP | 6 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.6809868812561035,
0.25190770626068115,
-0.24827849864959717,
0.185757115483284,
0.000010918593034148216,
-0.6963678598403931,
0.7878121137619019,
0.7768110632896423,
-0.7314813137054443,
-0.25907468795776367,
-0.315559983253479,
0.25358033180236816,
-0.6023992300033569,
0.375161737203598... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
One example: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Solution is here: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقا... | آنها در اردوگاه های پناهندگان کار می : کنند ، جوجه پرورش می دن و تخم مرغ هاشان را برای کمی پول می فروشند ، یا تنها از آنها برای سیر کردن شکم خانواده شان استفاده می کنند ، و به خودشان افتخار می : کنند و حس توانمندی بهشان دست می ده ، چون دیگر با سبزیجات و جوجه هاشان ، بینوا و وابسته به دیگران نیستند. ... | 6 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.07508385181427002,
0.2786133885383606,
-0.5554065704345703,
0.08619026839733124,
-0.43205153942108154,
-0.42444175481796265,
0.6249935030937195,
0.8848146200180054,
-0.6508626937866211,
-0.4688208997249603,
-0.5752598643302917,
0.4813918471336365,
-0.30690819025039673,
-0.12449358403682... |
Q: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to t... | False | 7 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.5066794753074646,
-0.10900786519050598,
0.07658936083316803,
-0.3212370276451111,
0.5930848121643066,
-0.7183663249015808,
0.7351672053337097,
0.6686089634895325,
0.24221335351467133,
0.5824750661849976,
-0.2500629127025604,
0.009408664889633656,
-0.544236421585083,
0.27938950061798096,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[-83, 53, -48, 8]
So... | [-670, -670, 830, 800, -850, 80, 230, 560, 700, 40, 40, 890] | 0 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.3213314712047577,
0.1916840821504593,
-0.4862236976623535,
0.10454355180263519,
0.3386719822883606,
-0.21279151737689972,
1.0417908430099487,
0.23691266775131226,
0.08971145749092102,
0.22258837521076202,
-0.2550443410873413,
-0.31415438652038574,
-0.2940136790275574,
0.2909795641899109... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced... | Aggresive | 3 | NIv2 | task335_hateeval_classification_aggresive_en | fs_opt | [
-0.49377110600471497,
0.4301297962665558,
0.7141034603118896,
0.1820145547389984,
-0.09451271593570709,
-0.6385239362716675,
0.11091463267803192,
0.5501477718353271,
-0.12817086279392242,
0.11585628986358643,
-0.12089067697525024,
0.21094118058681488,
-0.24689844250679016,
-0.3449897468090... |
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... | Output: eq { hop { nth_argmax { filter_eq { all_rows ; builder ; g & swr kilmarnock } ; no built ; 3 } ; class } ; 153 }
| 2 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.5460279583930969,
-0.04573461413383484,
-0.34584206342697144,
0.4871899485588074,
0.3126114010810852,
-0.5473120212554932,
0.5066947937011719,
0.3813113272190094,
0.1360977590084076,
-0.17608672380447388,
-0.15308435261249542,
-0.08655473589897156,
-0.12926886975765228,
0.434671878814697... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.