Unnamed: 0 int64 0 78.6k | answer stringlengths 18 557 | question stringlengths 12 244 | context stringlengths 27 489 | translated_answer stringlengths 12 992 |
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72,200 | SELECT MIN(production_num) FROM table_name_85 WHERE series = "lt" AND title = "dumb patrol" | What is the smallest production number for the LT series with the Dumb Patrol title? | CREATE TABLE table_name_85 (production_num INTEGER, series VARCHAR, title VARCHAR) | Qual é o menor número de produção da série LT com o título Dumb Patrol? |
72,201 | SELECT AVG(capacity) FROM table_name_72 WHERE home_team_s_ = "vélez sársfield" | What was the average capacity for vélez sársfield? | CREATE TABLE table_name_72 (capacity INTEGER, home_team_s_ VARCHAR) | Qual foi a capacidade média do vélez sársfield? |
72,202 | SELECT city FROM table_name_5 WHERE home_team_s_ = "tigre" | What city was the home team Tigre? | CREATE TABLE table_name_5 (city VARCHAR, home_team_s_ VARCHAR) | Qual cidade era a equipe da casa Tigre? |
72,203 | SELECT province FROM table_name_72 WHERE city = "mendoza" AND stadium = "feliciano gambarte" | What province is in Mendoza with a stadium feliciano gambarte? | CREATE TABLE table_name_72 (province VARCHAR, city VARCHAR, stadium VARCHAR) | Que província é em Mendoza com um estádio feliciano gambarte? |
72,204 | SELECT date FROM table_name_58 WHERE week > 9 AND tv_time = "abc 8:00pm" | On what date was there a tv time of ABC 8:00pm and after week 9? | CREATE TABLE table_name_58 (date VARCHAR, week VARCHAR, tv_time VARCHAR) | Em que data houve uma hora de TV de ABC 8:00pm e depois da semana 9? |
72,205 | SELECT SUM(year) FROM table_name_50 WHERE genre = "first-person shooter" | What is total number of years that has genre of first-person shooter? | CREATE TABLE table_name_50 (year INTEGER, genre VARCHAR) | Qual é o número total de anos que tem gênero de tiro em primeira pessoa? |
72,206 | SELECT MIN(year) FROM table_name_36 WHERE genre = "action-adventure" | Which year is the lowest for genre of action-adventure? | CREATE TABLE table_name_36 (year INTEGER, genre VARCHAR) | Qual é o ano mais baixo para o gênero de ação-aventura? |
72,207 | SELECT "normalised" AS _transliteration FROM table_name_9 WHERE roman_equivalent = "i" | what is the "normalized" transliteration for Roman i | CREATE TABLE table_name_9 (roman_equivalent VARCHAR) | o que é a transliteração "normalizada" para Roman i |
72,208 | SELECT normal_environment_of_occurrence__in_native_words_ FROM table_name_86 WHERE proto_germanic_origin = "/ai/" | what is the normal environment of occurrence that has a Proto-Germanic origin /ai/ | CREATE TABLE table_name_86 (normal_environment_of_occurrence__in_native_words_ VARCHAR, proto_germanic_origin VARCHAR) | qual é o ambiente normal de ocorrência que tem uma origem protogermânica /ai/ |
72,209 | SELECT MIN(against) FROM table_name_66 WHERE status = "tour match" AND venue = "ravenhill , belfast" | Which the lowest Against has a Status of tour match, and a Venue of ravenhill , belfast? | CREATE TABLE table_name_66 (against INTEGER, status VARCHAR, venue VARCHAR) | Qual dos mais baixos contra tem um status de partida de turnê, e um local de corvohill, Belfast? |
72,210 | SELECT AVG(against) FROM table_name_73 WHERE venue = "twickenham , london" AND date = "25 november 1978" | Name the average Against that has a Venue of twickenham , london on 25 november 1978? | CREATE TABLE table_name_73 (against INTEGER, venue VARCHAR, date VARCHAR) | Nomear a média Contra isso tem um Local de Twickenham, Londres em 25 de novembro de 1978? |
72,211 | SELECT MAX(against) FROM table_name_30 WHERE date = "21 november 1978" | Name the highest Against on 21 november 1978? | CREATE TABLE table_name_30 (against INTEGER, date VARCHAR) | Nomear o maior Against em 21 de novembro de 1978? |
72,212 | SELECT against FROM table_name_31 WHERE venue = "brewery field , bridgend" | Name the Against of Venue of brewery field , bridgend? | CREATE TABLE table_name_31 (against VARCHAR, venue VARCHAR) | Nomeie o Against of Venue do campo da cervejaria, bridgend? |
72,213 | SELECT status FROM table_name_98 WHERE against > 15 | Name the Status with an Against larger than 15? | CREATE TABLE table_name_98 (status VARCHAR, against INTEGER) | Nomear o status com um contra maior que 15? |
72,214 | SELECT home_team FROM table_name_16 WHERE away_team = "newcastle united" | Who is the home team when the away team is newcastle united? | CREATE TABLE table_name_16 (home_team VARCHAR, away_team VARCHAR) | Quem é a equipe da casa quando a equipe fora é newcastle unidos? |
72,215 | SELECT home_team FROM table_name_20 WHERE away_team = "wolverhampton wanderers" | who is the home team when the away team is wolverhampton wanderers? | CREATE TABLE table_name_20 (home_team VARCHAR, away_team VARCHAR) | Quem é o time da casa quando a equipe visitante é wolverhampton wanderers? |
72,216 | SELECT date FROM table_name_46 WHERE tie_no = "9" | what is the date when the tie no is 9? | CREATE TABLE table_name_46 (date VARCHAR, tie_no VARCHAR) | Qual é a data em que o empate não é 9? |
72,217 | SELECT away_team FROM table_name_7 WHERE tie_no = "7" | who is the away team when the tie no is 7? | CREATE TABLE table_name_7 (away_team VARCHAR, tie_no VARCHAR) | Quem é a equipe de fora quando o empate não é 7? |
72,218 | SELECT score FROM table_name_91 WHERE home_team = "sunderland" | what is the score when the home team is sunderland? | CREATE TABLE table_name_91 (score VARCHAR, home_team VARCHAR) | Qual é a pontuação quando a equipe da casa é sunderland? |
72,219 | SELECT title FROM table_name_81 WHERE director = "friz freleng" AND production_number = "443" | What is the name of the title that was directed by Friz Freleng and has a production number of 443? | CREATE TABLE table_name_81 (title VARCHAR, director VARCHAR, production_number VARCHAR) | Qual é o nome do título que foi dirigido por Friz Freleng e tem um número de produção de 443? |
72,220 | SELECT title FROM table_name_21 WHERE production_number = "627" | Which title has a production number of 627? | CREATE TABLE table_name_21 (title VARCHAR, production_number VARCHAR) | Qual título tem um número de produção de 627? |
72,221 | SELECT film FROM table_name_21 WHERE year < 2002 AND category = "outstanding actress" | what is the film when the year is earlier than 2002 and the category is outstanding actress? | CREATE TABLE table_name_21 (film VARCHAR, year VARCHAR, category VARCHAR) | Qual é o filme quando o ano é anterior a 2002 e a categoria é atriz de destaque? |
72,222 | SELECT COUNT(latitude) FROM table_name_45 WHERE land___sqmi__ > 34.846 AND geo_id < 3805529660 AND township = "greenland" AND ansi_code > 1036405 | What is the total latitude of the greenland township with more than 34.846 sqmi of land, a geo id less than 3805529660, and an ANSI code greater than 1036405? | CREATE TABLE table_name_45 (latitude VARCHAR, ansi_code VARCHAR, township VARCHAR, land___sqmi__ VARCHAR, geo_id VARCHAR) | Qual é a latitude total do município de terras verdes com mais de 34,846 sqmi de terra, um id geo inferior a 3805529660, e um código ANSI maior que 1036405? |
72,223 | SELECT SUM(land___sqmi__) FROM table_name_36 WHERE ansi_code < 1036538 AND pop__2010_ < 42 AND longitude > -99.442872 AND water__sqmi_ > 0.882 | What is the sum of the land in sq mi with an ansi code less than 1036538, a 2010 population less than 42, a longitude greater than -99.442872, and more than 0.882 sq mi of water? | CREATE TABLE table_name_36 (land___sqmi__ INTEGER, water__sqmi_ VARCHAR, longitude VARCHAR, ansi_code VARCHAR, pop__2010_ VARCHAR) | Qual é a soma do terreno em sq mi com um código ansi inferior a 1036538, uma população de 2010 inferior a 42, uma longitude maior que -99.442872, e mais de 0,882 sq mi de água? |
72,224 | SELECT MAX(water__sqmi_) FROM table_name_91 WHERE land___sqmi__ > 33.576 AND township = "glenila" AND latitude > 48.832189 | What is the highest water (sq mi) of the township glenila, which has more than 33.576 sq mi of land and a latitude greater than 48.832189? | CREATE TABLE table_name_91 (water__sqmi_ INTEGER, latitude VARCHAR, land___sqmi__ VARCHAR, township VARCHAR) | Qual é a água mais alta (sq mi) da cidade glenila, que tem mais de 33,576 sq mi de terra e uma latitude superior a 48,832189? |
72,225 | SELECT SUM(pop__2010_) FROM table_name_64 WHERE latitude > 47.710905 AND longitude = -101.79876 AND land___sqmi__ < 35.695 | What is the sum of the 2010 population with a latitude greater than 47.710905, a longitude of -101.79876, and less than 35.695 sq mi of land? | CREATE TABLE table_name_64 (pop__2010_ INTEGER, land___sqmi__ VARCHAR, latitude VARCHAR, longitude VARCHAR) | Qual é a soma da população de 2010 com uma latitude superior a 47.71905, uma longitude de -101.79876, e menos de 35.695 sq mi de terra? |
72,226 | SELECT MIN(land___sqmi__) FROM table_name_27 WHERE longitude = -99.172785 AND water__sqmi_ < 0.973 | What is the lowest land in sq mi with a longitude of -99.172785 and less than 0.973 sq mi of water? | CREATE TABLE table_name_27 (land___sqmi__ INTEGER, longitude VARCHAR, water__sqmi_ VARCHAR) | Qual é a terra mais baixa em sq mi com uma longitude de -99.172785 e menos de 0,973 sq mi de água? |
72,227 | SELECT name FROM table_name_19 WHERE position = "head coach" | Who was the head coach? | CREATE TABLE table_name_19 (name VARCHAR, position VARCHAR) | Quem foi o treinador principal? |
72,228 | SELECT name FROM table_name_49 WHERE year_at_cu = "1st" AND alma_mater = "dayton ('07)" | Who has the alma mater of Dayton ('07), and was in their 1st year at CU? | CREATE TABLE table_name_49 (name VARCHAR, year_at_cu VARCHAR, alma_mater VARCHAR) | Quem tem a alma mater de Dayton ('07), e estava em seu primeiro ano na UC? |
72,229 | SELECT year_at_cu FROM table_name_8 WHERE experience < 1 AND position = "video services" | What year at CU is the person in video services with an experience less than 1? | CREATE TABLE table_name_8 (year_at_cu VARCHAR, experience VARCHAR, position VARCHAR) | Em que ano na CU é a pessoa em serviços de vídeo com uma experiência inferior a 1? |
72,230 | SELECT experience FROM table_name_29 WHERE year_at_cu = "1st" AND position = "graduate assistant" | The graduate assistant who was in the 1st year at CU has what experience? | CREATE TABLE table_name_29 (experience VARCHAR, year_at_cu VARCHAR, position VARCHAR) | O assistente de pós-graduação que estava no 1o ano na CU tem que experiência? |
72,231 | SELECT name FROM table_name_86 WHERE experience > 19 AND alma_mater = "eastern nazarene ('74)" | What person has the alma mater of Eastern Nazarene ('74), and greater than 19 experience? | CREATE TABLE table_name_86 (name VARCHAR, experience VARCHAR, alma_mater VARCHAR) | Que pessoa tem a alma mater do Nazareno Oriental ('74), e maior do que 19 experiência? |
72,232 | SELECT COUNT(engine_capacity) FROM table_name_50 WHERE transmission = "a4" AND mpg_us_urban > 19 AND mpg_us_extra_urban > 38.6 AND model = "aveo" | What is the total engine capacity of the a4 transmission, which has an urban mpg-US greater than 19, an mpg-us extra-urban greater than 38.6, and an aveo model? | CREATE TABLE table_name_50 (engine_capacity VARCHAR, model VARCHAR, mpg_us_extra_urban VARCHAR, transmission VARCHAR, mpg_us_urban VARCHAR) | Qual é a capacidade total do motor da transmissão a4, que tem um mpg-US urbano maior que 19, um mpg-us extra-urbano maior que 38,6 e um modelo aveo? |
72,233 | SELECT MAX(engine_capacity) FROM table_name_25 WHERE manufacturer = "bmw" AND mpg_uk_extra_urban = 52.3 AND co_2_g_km = 176 AND mpg_us_urban > 27.3 | What is the highest engine capacity with a bmw manufacturer, an mpg-UK extra-urban of 52.3, a 176 CO 2 g/km, and an mpg-us urban greater than 27.3? | CREATE TABLE table_name_25 (engine_capacity INTEGER, mpg_us_urban VARCHAR, co_2_g_km VARCHAR, manufacturer VARCHAR, mpg_uk_extra_urban VARCHAR) | Qual é a maior capacidade do motor com um fabricante de bmw, um extra-urbano mpg-UK de 52,3, 176 CO 2 g/km e um mpg-us urbano superior a 27,3? |
72,234 | SELECT mpg_uk_combined FROM table_name_89 WHERE mpg_uk_urban__cold_ > 26.6 AND transmission = "m5" AND fuel_type = "diesel" AND engine_capacity < 1560 | What is the mpg-uk combined with an mpg-uk urban (cold) greater than 26.6, a m5 transmission, a diesel fuel type, and an engine capacity less than 1560? | CREATE TABLE table_name_89 (mpg_uk_combined VARCHAR, engine_capacity VARCHAR, fuel_type VARCHAR, mpg_uk_urban__cold_ VARCHAR, transmission VARCHAR) | O que é o mpg-uk combinado com um mpg-uk urbano (frio) maior que 26,6, uma transmissão m5, um tipo de combustível diesel e uma capacidade do motor inferior a 1560? |
72,235 | SELECT l_100km_urban__cold_ FROM table_name_24 WHERE co_2_g_km < 222 AND mpg_us_urban > 17.8 AND mpg_uk_extra_urban = 55.4 AND engine_capacity > 1560 | What is the l/100km urban (cold) with a CO 2 g/km less than 222, an mpg-us urban greater than 17.8, an mpg-uk extra-urban of 55.4, and an engine capacity greater than 1560? | CREATE TABLE table_name_24 (l_100km_urban__cold_ VARCHAR, engine_capacity VARCHAR, mpg_uk_extra_urban VARCHAR, co_2_g_km VARCHAR, mpg_us_urban VARCHAR) | O que é o l/100km urbano (frio) com um CO 2 g/km inferior a 222, um mpg-us urbano superior a 17,8, um mpg-uk extra-urbano de 55,4 e uma capacidade de motor superior a 1560? |
72,236 | SELECT model FROM table_name_6 WHERE green_rating = "g" AND manufacturer = "chrysler jeep" AND l_100km_urban__cold_ < 18 AND mpg_uk_combined = 27.7 | What model has a g green rating, has chrysler jeep as a manufacturer, has an l/100km urban (cold) less than 18, and has an mpg-uk combined of 27.7? | CREATE TABLE table_name_6 (model VARCHAR, mpg_uk_combined VARCHAR, l_100km_urban__cold_ VARCHAR, green_rating VARCHAR, manufacturer VARCHAR) | Qual modelo tem uma classificação verde g, tem crisler jeep como fabricante, tem um l/100km urbano (frio) menos de 18, e tem um mpg-uk combinado de 27.7? |
72,237 | SELECT league_cup_apps FROM table_name_54 WHERE total_goals < 2 AND total_apps = "12" | what is the league cup apps when the total goals is less than 2 and the total apps is 12? | CREATE TABLE table_name_54 (league_cup_apps VARCHAR, total_goals VARCHAR, total_apps VARCHAR) | Quais são os aplicativos da Copa da Liga quando o total de gols é menor que 2 e o total de aplicativos é 12? |
72,238 | SELECT AVG(fa_cup_goals) FROM table_name_96 WHERE league_cup_apps = "2" AND fa_cup_apps = "3" AND league_goals = 3 | what is the average ga cup goals when the league cup apps is 2, the fa cup apps is 3 and the league goals is 3? | CREATE TABLE table_name_96 (fa_cup_goals INTEGER, league_goals VARCHAR, league_cup_apps VARCHAR, fa_cup_apps VARCHAR) | Quais são os objetivos médios da Copa da Liga quando os aplicativos da Copa da Liga são 2, os aplicativos da Copa da Liga são 3 e os objetivos da Liga são 3? |
72,239 | SELECT MAX(fa_cup_goals) FROM table_name_96 WHERE flt_goals > 0 | what is the highest fa cup goals when flt goals is more than 0? | CREATE TABLE table_name_96 (fa_cup_goals INTEGER, flt_goals INTEGER) | Quais são os objetivos mais altos da Copa do Mundo quando os objetivos do flt são mais de 0? |
72,240 | SELECT total_apps FROM table_name_80 WHERE league_apps = "4 (2)" | what is the total apps when the league apps is 4 (2)? | CREATE TABLE table_name_80 (total_apps VARCHAR, league_apps VARCHAR) | Quais são os aplicativos totais quando os aplicativos da liga são 4 (2)? |
72,241 | SELECT COUNT(silver) FROM table_name_44 WHERE total > 9 AND gold = 14 | How much Silver has a Total larger than 9, and a Gold of 14? | CREATE TABLE table_name_44 (silver VARCHAR, total VARCHAR, gold VARCHAR) | Quanto prata tem um total maior que 9, e um ouro de 14? |
72,242 | SELECT rank FROM table_name_24 WHERE total > 9 AND gold > 6 | Which Rank has a Total larger than 9, and a Gold larger than 6? | CREATE TABLE table_name_24 (rank VARCHAR, total VARCHAR, gold VARCHAR) | Qual Rank tem um Total maior que 9 e um Ouro maior que 6? |
72,243 | SELECT COUNT(silver) FROM table_name_36 WHERE rank = "4" AND bronze < 12 | How much Silver has a Rank of 4, and a Bronze smaller than 12? | CREATE TABLE table_name_36 (silver VARCHAR, rank VARCHAR, bronze VARCHAR) | Quanto prata tem uma classificação de 4, e um bronze menor que 12? |
72,244 | SELECT SUM(bronze) FROM table_name_68 WHERE total = 9 | How many bronzes have a Total of 9? | CREATE TABLE table_name_68 (bronze INTEGER, total VARCHAR) | Quantos bronzes têm um total de 9? |
72,245 | SELECT SUM(gold) FROM table_name_37 WHERE nation = "mongolia" AND total > 18 | How much Gold has a Nation of mongolia, and a Total larger than 18? | CREATE TABLE table_name_37 (gold INTEGER, nation VARCHAR, total VARCHAR) | Quanto ouro tem uma nação de mongólia, e um total maior que 18? |
72,246 | SELECT lok_sabha FROM table_name_13 WHERE party_affiliation = "dravida munnetra kazhagam" AND duration = "1999-04" | What is the Lok Sabha for Dravida Munnetra Kazhagam, in 1999-04? | CREATE TABLE table_name_13 (lok_sabha VARCHAR, party_affiliation VARCHAR, duration VARCHAR) | O que é o Lok Sabha para Dravida Munnetra Kazhagam, em 1999-04? |
72,247 | SELECT duration FROM table_name_86 WHERE lok_sabha = "fifth" | What is the duration when Lok Sabha shows fifth? | CREATE TABLE table_name_86 (duration VARCHAR, lok_sabha VARCHAR) | Qual é a duração quando Lok Sabha mostra o quinto? |
72,248 | SELECT result FROM table_name_50 WHERE date = "december 20, 1970" | What was the result for the game played on December 20, 1970? | CREATE TABLE table_name_50 (result VARCHAR, date VARCHAR) | Qual foi o resultado do jogo disputado em 20 de dezembro de 1970? |
72,249 | SELECT result FROM table_name_50 WHERE week = 2 | What was the result for week 2? | CREATE TABLE table_name_50 (result VARCHAR, week VARCHAR) | Qual foi o resultado da 2a semana? |
72,250 | SELECT SUM(rank) FROM table_name_36 WHERE notes = "fb" AND time = "6:47.30" | What is the rank of the athletes that have Notes of fb, and a Time of 6:47.30? | CREATE TABLE table_name_36 (rank INTEGER, notes VARCHAR, time VARCHAR) | Qual é a classificação dos atletas que têm Notas de fb, e um Tempo de 6:47.30? |
72,251 | SELECT MIN(rank) FROM table_name_80 WHERE time = "6:36.65" | What is the least rank for athletes with a time of 6:36.65? | CREATE TABLE table_name_80 (rank INTEGER, time VARCHAR) | Qual é a classificação mínima para atletas com um tempo de 6:36.65? |
72,252 | SELECT AVG(react) FROM table_name_36 WHERE rank > 8 | What is the average react for a rank more than 8? | CREATE TABLE table_name_36 (react INTEGER, rank INTEGER) | Qual é a reação média para uma classificação superior a 8? |
72,253 | SELECT MAX(rank) FROM table_name_4 WHERE react = 0.198 AND time > 20.42 | What is the highest rank for the react of 0.198, and the time more than 20.42? | CREATE TABLE table_name_4 (rank INTEGER, react VARCHAR, time VARCHAR) | Qual é a classificação mais alta para a reação de 0,198, e o tempo mais de 20,42? |
72,254 | SELECT SUM(time) FROM table_name_70 WHERE lane > 6 AND nationality = "canada" AND react < 0.151 | What is the sum of time with a lane larger than 6, a nationality of canada, and the react smaller than 0.151? | CREATE TABLE table_name_70 (time INTEGER, react VARCHAR, lane VARCHAR, nationality VARCHAR) | Qual é a soma de tempo com uma faixa maior que 6, uma nacionalidade do Canadá, e a reação menor que 0.151? |
72,255 | SELECT human_gene__protein_ FROM table_name_41 WHERE yeast_ortholog = "rad26" | What human gene has a yeast ortholog of RAD26? | CREATE TABLE table_name_41 (human_gene__protein_ VARCHAR, yeast_ortholog VARCHAR) | Qual gene humano tem um ortolog de levedura de RAD26? |
72,256 | SELECT human_gene__protein_ FROM table_name_27 WHERE mouse_ortholog = "lig1" | What is the human gene that has a mouse ortholog of LIG1? | CREATE TABLE table_name_27 (human_gene__protein_ VARCHAR, mouse_ortholog VARCHAR) | Qual é o gene humano que tem um ortologista do rato de LIG1? |
72,257 | SELECT yeast_ortholog FROM table_name_19 WHERE subpathway = "ggr" AND genecards_entry = "cetn2" | What is the yeast ortholog that has a subpathway of GGR and GeneCards entry CETN2? | CREATE TABLE table_name_19 (yeast_ortholog VARCHAR, subpathway VARCHAR, genecards_entry VARCHAR) | Qual é o ortolog de levedura que tem um subcaminho de GGR e GeneCards entrada CETN2? |
72,258 | SELECT yeast_ortholog FROM table_name_18 WHERE mouse_ortholog = "mms19" | What is the yeast ortholog of mouse ortholog MMS19? | CREATE TABLE table_name_18 (yeast_ortholog VARCHAR, mouse_ortholog VARCHAR) | O que é o ortolog levedura de ortolog mouse MMS19? |
72,259 | SELECT tournament FROM table_name_67 WHERE opponent = "vladimir zednik" | What is the Tournament against Vladimir Zednik? | CREATE TABLE table_name_67 (tournament VARCHAR, opponent VARCHAR) | O que é o Torneio contra Vladimir Zednik? |
72,260 | SELECT tournament FROM table_name_95 WHERE score = "4–6, 6–7, 3–6" | What Tournament had a Score of 4–6, 6–7, 3–6? | CREATE TABLE table_name_95 (tournament VARCHAR, score VARCHAR) | Qual Torneio teve uma Pontuação de 46, 67, 36? |
72,261 | SELECT score FROM table_name_68 WHERE outcome = "runner-up" AND opponent = "tim gullikson" | What is the Score of the of the Tournament against Tim Gullikson with Outcome of runner-up? | CREATE TABLE table_name_68 (score VARCHAR, outcome VARCHAR, opponent VARCHAR) | Qual é a Pontuação do Torneio contra Tim Gullikson com Resultado do segundo lugar? |
72,262 | SELECT doha_, _qatar FROM table_name_17 WHERE snatch = "total" | What is the Doha, Qatar when the snatch is total? | CREATE TABLE table_name_17 (doha_ VARCHAR, _qatar VARCHAR, snatch VARCHAR) | O que é o Doha, Qatar quando o arrebatamento é total? |
72,263 | SELECT doha_, _qatar FROM table_name_93 WHERE snatch = "clean & jerk" | What is the Doha, Qatar when the snatch is clean & jerk? | CREATE TABLE table_name_93 (doha_ VARCHAR, _qatar VARCHAR, snatch VARCHAR) | O que é o Doha, Qatar quando o arrebatamento é limpo e idiota? |
72,264 | SELECT SUM(points) FROM table_name_3 WHERE name = "stephen myler" AND tries < 0 | How many Points have a Name of stephen myler, and Tries smaller than 0? | CREATE TABLE table_name_3 (points INTEGER, name VARCHAR, tries VARCHAR) | Quantos pontos têm um nome de stephen myler e tentativas menores que 0? |
72,265 | SELECT AVG(pick) FROM table_name_34 WHERE college = "new mexico" | What is the pick number for New Mexico? | CREATE TABLE table_name_34 (pick INTEGER, college VARCHAR) | Qual é o número da seleção para o Novo México? |
72,266 | SELECT player FROM table_name_43 WHERE team = "denver broncos" | What player is from the Denver Broncos? | CREATE TABLE table_name_43 (player VARCHAR, team VARCHAR) | Qual jogador é do Denver Broncos? |
72,267 | SELECT college FROM table_name_38 WHERE team = "new york jets" | Which college has their team as the New York Jets? | CREATE TABLE table_name_38 (college VARCHAR, team VARCHAR) | Qual faculdade tem sua equipe como o New York Jets? |
72,268 | SELECT constituency_number FROM table_name_73 WHERE name = "total:" | What is the Constituency Number of Total:? | CREATE TABLE table_name_73 (constituency_number VARCHAR, name VARCHAR) | Qual é o número de eleitorado do total:? |
72,269 | SELECT district FROM table_name_43 WHERE constituency_number = "22" | Which District is Constituency number 22? | CREATE TABLE table_name_43 (district VARCHAR, constituency_number VARCHAR) | Qual distrito é o número 22 da circunscrição? |
72,270 | SELECT MIN(number_of_electorates__2003_) FROM table_name_85 WHERE district = "bhind" AND reserved_for___sc___st__none_ = "none" AND constituency_number = "11" | What is the lowest number of Electorates (2003) in District bhind, Reserved for none, and Constituency Number 11? | CREATE TABLE table_name_85 (number_of_electorates__2003_ INTEGER, constituency_number VARCHAR, district VARCHAR, reserved_for___sc___st__none_ VARCHAR) | Qual é o menor número de eleitores (2003) no Distrito Bhind, Reservado para nenhum e Constituinte Número 11? |
72,271 | SELECT school_club_team FROM table_name_31 WHERE pick = 33 | What school/club had pick 33? | CREATE TABLE table_name_31 (school_club_team VARCHAR, pick VARCHAR) | Qual escola/clube escolheu 33? |
72,272 | SELECT attendance FROM table_name_81 WHERE date = "october 16, 2005" | What attendance has October 16, 2005 as the date? | CREATE TABLE table_name_81 (attendance VARCHAR, date VARCHAR) | Que presença tem 16 de outubro de 2005 como a data? |
72,273 | SELECT result FROM table_name_25 WHERE week < 16 AND date = "october 31, 2005" | What result has a week less than 16, and October 31, 2005 as the date? | CREATE TABLE table_name_25 (result VARCHAR, week VARCHAR, date VARCHAR) | Que resultado tem uma semana menos do que 16, e 31 de outubro de 2005 como a data? |
72,274 | SELECT MIN(year) FROM table_name_37 WHERE manager = "bobby dews" AND playoffs = "lost in 1st round" | Which Year has a Manager of bobby dews, and Playoffs of lost in 1st round? | CREATE TABLE table_name_37 (year INTEGER, manager VARCHAR, playoffs VARCHAR) | Que ano tem um gerente de bobby orvalhos, e Playoffs de perdido na 1a rodada? |
72,275 | SELECT COUNT(year) FROM table_name_74 WHERE record = "73-65" | How many years have a Record of 73-65? | CREATE TABLE table_name_74 (year VARCHAR, record VARCHAR) | Quantos anos tem um recorde de 73-65? |
72,276 | SELECT record FROM table_name_33 WHERE year > 1974 AND finish = "3rd" | Which Record has a Year larger than 1974, and a Finish of 3rd? | CREATE TABLE table_name_33 (record VARCHAR, year VARCHAR, finish VARCHAR) | Qual disco tem um ano maior que 1974, e um final de terceiro? |
72,277 | SELECT song FROM table_name_14 WHERE year < 1994 AND uk_chart = "42" | Which Song of the Year was 42 on the UK charts prior to 1994? | CREATE TABLE table_name_14 (song VARCHAR, year VARCHAR, uk_chart VARCHAR) | Qual canção do ano tinha 42 anos nas paradas britânicas antes de 1994? |
72,278 | SELECT uk_chart FROM table_name_84 WHERE artist = "scott fitzgerald" | Where did Scott Fitzgerald rank on the UK charts? | CREATE TABLE table_name_84 (uk_chart VARCHAR, artist VARCHAR) | Onde Scott Fitzgerald se classificou nas paradas do Reino Unido? |
72,279 | SELECT uk_chart FROM table_name_33 WHERE year > 1961 AND at_eurovision = "2nd" AND artist = "michael ball" | Where did the song by Michael Ball, which placed 2nd in Eurovision prior to 1961, place on the UK charts? | CREATE TABLE table_name_33 (uk_chart VARCHAR, artist VARCHAR, year VARCHAR, at_eurovision VARCHAR) | Onde a canção de Michael Ball, que ficou em segundo lugar na Eurovisão antes de 1961, foi colocada nas paradas britânicas? |
72,280 | SELECT 3 AS rd_day FROM table_name_65 WHERE year < 2012 AND finish_position = "33rd" | What is the 3rd day result for years under 2012 and a finish position of 33rd? | CREATE TABLE table_name_65 (year VARCHAR, finish_position VARCHAR) | Qual é o resultado do 3o dia para anos abaixo de 2012 e uma posição de chegada de 33o? |
72,281 | SELECT origin FROM table_name_57 WHERE in_service = 1 | For the vessel with a listed In service of 1, what is the origin given? | CREATE TABLE table_name_57 (origin VARCHAR, in_service VARCHAR) | Para o navio com uma lista Em serviço de 1, qual é a origem dada? |
72,282 | SELECT MIN(in_service) FROM table_name_71 WHERE vessel = "xavery czernicki class" | What is the lowest listed In service for a vessel of xavery czernicki class? | CREATE TABLE table_name_71 (in_service INTEGER, vessel VARCHAR) | Em serviço para uma embarcação da classe xavery czernicki? |
72,283 | SELECT vessel FROM table_name_72 WHERE type = "logistic support" | Which vessel has a type of logistic support? | CREATE TABLE table_name_72 (vessel VARCHAR, type VARCHAR) | Qual embarcação tem um tipo de suporte logístico? |
72,284 | SELECT type FROM table_name_77 WHERE vessel = "lublin class" | What is the type for a vessel of lublin class? | CREATE TABLE table_name_77 (type VARCHAR, vessel VARCHAR) | Qual é o tipo de embarcação da classe Lublin? |
72,285 | SELECT MAX(in_service) FROM table_name_37 WHERE unit = "12th minesweeper squadron" | What is the highest In service for a vessel with a listed Unit of 12th minesweeper squadron? | CREATE TABLE table_name_37 (in_service INTEGER, unit VARCHAR) | Qual é o serviço mais alto para um navio com uma unidade listada do 12o esquadrão de caça-minas? |
72,286 | SELECT type FROM table_name_49 WHERE unit = "naval base swinoujscie (auxiliary squadron)" | What is the type for a vessel with a listed unit of naval base swinoujscie (auxiliary squadron)? | CREATE TABLE table_name_49 (type VARCHAR, unit VARCHAR) | Qual é o tipo para um navio com uma unidade listada de base naval swinoujscie (esquadrão auxiliar)? |
72,287 | SELECT rider FROM table_name_44 WHERE team = "600cc yamaha" | Which rider was on the 600cc Yamaha team? | CREATE TABLE table_name_44 (rider VARCHAR, team VARCHAR) | Qual piloto estava na equipe Yamaha de 600cc? |
72,288 | SELECT speed FROM table_name_55 WHERE rider = "john hildreth" | What was John Hildreth's speed? | CREATE TABLE table_name_55 (speed VARCHAR, rider VARCHAR) | Qual foi a velocidade de John Hildreth? |
72,289 | SELECT AVG(draw) FROM table_name_29 WHERE time = "22:29" | What is the average draw number of an entrant with a time of 22:29? | CREATE TABLE table_name_29 (draw INTEGER, time VARCHAR) | Qual é o número médio de empates de um participante com um tempo de 22:29? |
72,290 | SELECT brand FROM table_name_28 WHERE entrant = "mark henry" | What is Mark Henry's brand? | CREATE TABLE table_name_28 (brand VARCHAR, entrant VARCHAR) | Qual é a marca de Mark Henry? |
72,291 | SELECT author___editor___source FROM table_name_86 WHERE world_ranking__1_ = "35" AND countries_sampled > 100 | Who is the Author/Editor/Source for more than 100 countries sampled and has a 35 world ranking? | CREATE TABLE table_name_86 (author___editor___source VARCHAR, world_ranking__1_ VARCHAR, countries_sampled VARCHAR) | Quem é o autor / editor / fonte para mais de 100 países amostrados e tem um ranking mundial 35? |
72,292 | SELECT SUM(countries_sampled) FROM table_name_71 WHERE year_of_publication = "2010" AND world_ranking__1_ = "33" AND ranking_in_latin_america__2_ < 3 | How many countries sampled has a world ranking of 33 in 2010 and less than 3 ranking in Latin America? | CREATE TABLE table_name_71 (countries_sampled INTEGER, ranking_in_latin_america__2_ VARCHAR, year_of_publication VARCHAR, world_ranking__1_ VARCHAR) | Quantos países amostrados têm um ranking mundial de 33 em 2010 e menos de 3 na América Latina? |
72,293 | SELECT world_ranking__1_ FROM table_name_87 WHERE year_of_publication = "2011" AND ranking_in_latin_america__2_ > 3 AND countries_sampled > 142 | What's the world ranking in 2011 having more than 142 countries sampled, and more than a 3 for ranking in Latin America? | CREATE TABLE table_name_87 (world_ranking__1_ VARCHAR, countries_sampled VARCHAR, year_of_publication VARCHAR, ranking_in_latin_america__2_ VARCHAR) | Qual é o ranking mundial em 2011 com mais de 142 países amostrados e mais de 3 para o ranking na América Latina? |
72,294 | SELECT home_team FROM table_name_44 WHERE tie_no = "20" | What home team has a tie no of 20? | CREATE TABLE table_name_44 (home_team VARCHAR, tie_no VARCHAR) | Qual equipe da casa tem um empate no 20? |
72,295 | SELECT date FROM table_name_96 WHERE score = "3–3" AND away_team = "barnet" | What date was the score 3–3, and away team was Barnet? | CREATE TABLE table_name_96 (date VARCHAR, score VARCHAR, away_team VARCHAR) | Qual foi a data da pontuação 33, e a equipe visitante foi Barnet? |
72,296 | SELECT tie_no FROM table_name_12 WHERE home_team = "wimbledon" | What is the Tie no when Wimbledon is the home team? | CREATE TABLE table_name_12 (tie_no VARCHAR, home_team VARCHAR) | O que é o Tie no quando Wimbledon é a equipe da casa? |
72,297 | SELECT score FROM table_name_43 WHERE tie_no = "replay" AND away_team = "york city" | What is the score when the Tie no is replay, and the away team is York City? | CREATE TABLE table_name_43 (score VARCHAR, tie_no VARCHAR, away_team VARCHAR) | Qual é a pontuação quando o Tie no é replay, e a equipe visitante é York City? |
72,298 | SELECT tie_no FROM table_name_83 WHERE away_team = "chester" | What is the Tie no when Chester is the away team? | CREATE TABLE table_name_83 (tie_no VARCHAR, away_team VARCHAR) | O que é o Tie no quando Chester é o time de fora? |
72,299 | SELECT broadcast_date FROM table_name_39 WHERE viewership__millions_ = 9.65 | What is the broadcast date of the episode with 9.65 million viewers? | CREATE TABLE table_name_39 (broadcast_date VARCHAR, viewership__millions_ VARCHAR) | Qual é a data de transmissão do episódio com 9,65 milhões de espectadores? |
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