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77,500 | SELECT date FROM table_name_43 WHERE writer_s_ = "edward jeffreys" | On what date was Edward Jeffreys the writer? | CREATE TABLE table_name_43 (date VARCHAR, writer_s_ VARCHAR) | Em que data Edward Jeffreys foi o escritor? |
77,501 | SELECT date FROM table_name_48 WHERE award = "£6,600" | What date was the award of £6,600 was given? | CREATE TABLE table_name_48 (date VARCHAR, award VARCHAR) | Que data foi dada a concessão de 6.600? |
77,502 | SELECT director_s_ FROM table_name_54 WHERE recipient = "redbag pictures ltd" | Who was the director that had a recipient of Redbag Pictures Ltd? | CREATE TABLE table_name_54 (director_s_ VARCHAR, recipient VARCHAR) | Quem foi o diretor que recebeu a Redbag Pictures Ltd? |
77,503 | SELECT award FROM table_name_64 WHERE writer_s_ = "edward jeffreys" | What's the name of the award that Edward Jeffreys was the writer? | CREATE TABLE table_name_64 (award VARCHAR, writer_s_ VARCHAR) | Qual é o nome do prêmio que Edward Jeffreys foi o escritor? |
77,504 | SELECT player FROM table_name_40 WHERE year_born = 1981 | Who is the Player born in 1981? | CREATE TABLE table_name_40 (player VARCHAR, year_born VARCHAR) | Quem é o jogador nascido em 1981? |
77,505 | SELECT COUNT(height) FROM table_name_49 WHERE year_born < 1977 | What is the Height that has a year born before 1977 | CREATE TABLE table_name_49 (height VARCHAR, year_born INTEGER) | Qual é a altura que tem um ano nascido antes de 1977? |
77,506 | SELECT MIN(total_region) FROM table_name_75 WHERE year > 2001 AND broadsound > 6 OFFSET 843 | What is the lowest Total Region that has a Year after 2001, and a Broadsound greater than 6,843? | CREATE TABLE table_name_75 (total_region INTEGER, year VARCHAR, broadsound VARCHAR) | Qual é a Região Total mais baixa que tem um ano após 2001, e um Broadsound maior que 6.843? |
77,507 | SELECT SUM(total_region) FROM table_name_2 WHERE year = 1954 AND nebo > 447 | What is the sum of Total Regions that have the Year 1954, and a Nebo greater than 447? | CREATE TABLE table_name_2 (total_region INTEGER, year VARCHAR, nebo VARCHAR) | Qual é a soma das regiões totais que têm o ano de 1954, e um Nebo maior que 447? |
77,508 | SELECT COUNT(bronze) FROM table_name_34 WHERE gold < 2 AND nation = "uganda" AND total > 2 | What is the number of Bronze for the Nation of Uganda with less than 2 Gold and Total medals? | CREATE TABLE table_name_34 (bronze VARCHAR, total VARCHAR, gold VARCHAR, nation VARCHAR) | Qual é o número de bronze para a nação de Uganda com menos de 2 medalhas de ouro e total? |
77,509 | SELECT MAX(gold) FROM table_name_30 WHERE nation = "canada" AND silver < 7 | With less than 7 Silver medals, how many Gold medals did Canada receive? | CREATE TABLE table_name_30 (gold INTEGER, nation VARCHAR, silver VARCHAR) | Com menos de 7 medalhas de prata, quantas medalhas de ouro o Canadá recebeu? |
77,510 | SELECT outcome FROM table_name_4 WHERE score = "6–1, 6–4" | What is the outcome of a score that is 6–1, 6–4? | CREATE TABLE table_name_4 (outcome VARCHAR, score VARCHAR) | Qual é o resultado de uma pontuação que é 6, 64? |
77,511 | SELECT surface FROM table_name_40 WHERE score = "7–6 (7–3) , 6–3" | What is the surface of the score, 7–6 (7–3) , 6–3? | CREATE TABLE table_name_40 (surface VARCHAR, score VARCHAR) | Qual é a superfície da pontuação, 76 (73), 63? |
77,512 | SELECT venue FROM table_name_71 WHERE year < 2008 AND position = "14th (q)" | What venue did he play in before 2008 and finished 14th (q)? | CREATE TABLE table_name_71 (venue VARCHAR, year VARCHAR, position VARCHAR) | Em que local ele jogou antes de 2008 e terminou em 14o (q)? |
77,513 | SELECT competition FROM table_name_6 WHERE year < 2007 AND venue = "gothenburg, sweden" | What competition did he compete in before 2007 in gothenburg, sweden? | CREATE TABLE table_name_6 (competition VARCHAR, year VARCHAR, venue VARCHAR) | Em que competição ele competiu antes de 2007 em Gotemburgo, na Suécia? |
77,514 | SELECT venue FROM table_name_55 WHERE position = "7th" | What venue did he finish 7th? | CREATE TABLE table_name_55 (venue VARCHAR, position VARCHAR) | Em que local ele terminou em 7o lugar? |
77,515 | SELECT MAX(performances) FROM table_name_43 WHERE role = "geoffrey fitton" | Name the most performances for geoffrey fitton | CREATE TABLE table_name_43 (performances INTEGER, role VARCHAR) | Nomeie o maior número de apresentações para geoffrey fitton |
77,516 | SELECT role FROM table_name_49 WHERE closing_date = "feb 4, 1961" | Name the role for Feb 4, 1961 closing date | CREATE TABLE table_name_49 (role VARCHAR, closing_date VARCHAR) | Nomeie o papel para 4 de fevereiro de 1961 data de encerramento |
77,517 | SELECT theatre FROM table_name_31 WHERE performances > 49 AND role = "aaron jablonski schuyler grogan" | Name the theatre for aaron jablonski schuyler grogan with performances more than 49 | CREATE TABLE table_name_31 (theatre VARCHAR, performances VARCHAR, role VARCHAR) | Nomeie o teatro para aaron jablonski schuyler grogan com performances mais de 49 |
77,518 | SELECT title FROM table_name_29 WHERE no_in_series < 4 | What are the titles for episodes prior to episode 4? | CREATE TABLE table_name_29 (title VARCHAR, no_in_series INTEGER) | Quais são os títulos dos episódios anteriores ao episódio 4? |
77,519 | SELECT title FROM table_name_23 WHERE no_in_series < 4 | What are the titles for episodes prior to episode 4? | CREATE TABLE table_name_23 (title VARCHAR, no_in_series INTEGER) | Quais são os títulos dos episódios anteriores ao episódio 4? |
77,520 | SELECT original_air_date FROM table_name_58 WHERE no_in_series > 3 | What the air dates for the episodes are episode 3 in the series? | CREATE TABLE table_name_58 (original_air_date VARCHAR, no_in_series INTEGER) | Quais são as datas de exibição para os episódios do episódio 3 da série? |
77,521 | SELECT MAX(laps) FROM table_name_17 WHERE qual = "165.229" | How many laps resulted from a Qual of 165.229? | CREATE TABLE table_name_17 (laps INTEGER, qual VARCHAR) | Quantas voltas resultaram de um Qual de 165.229? |
77,522 | SELECT qual FROM table_name_4 WHERE start = "15" | Whent he start was 15, what was the Qual? | CREATE TABLE table_name_4 (qual VARCHAR, start VARCHAR) | Quando ele começou tinha 15 anos, o que era o Qual? |
77,523 | SELECT start FROM table_name_15 WHERE rank = "7" AND laps > 100 | What was the start result with a Rank of 7 and more than 100 laps? | CREATE TABLE table_name_15 (start VARCHAR, rank VARCHAR, laps VARCHAR) | Qual foi o resultado inicial com um Rank de 7 e mais de 100 voltas? |
77,524 | SELECT shirt_sponsor FROM table_name_59 WHERE team = "blackburn rovers" | Who was the shirt sponsor for the Blackburn Rovers? | CREATE TABLE table_name_59 (shirt_sponsor VARCHAR, team VARCHAR) | Quem foi o patrocinador da camisa dos Blackburn Rovers? |
77,525 | SELECT captain FROM table_name_60 WHERE team = "bolton wanderers" | Who was the team captain of the Bolton Wanderers? | CREATE TABLE table_name_60 (captain VARCHAR, team VARCHAR) | Quem foi o capitão da equipe do Bolton Wanderers? |
77,526 | SELECT team FROM table_name_75 WHERE kit_manufacturer = "adidas" AND shirt_sponsor = "tdk" | For which team did Adidas manufacture kits and TDK sponsor shirts? | CREATE TABLE table_name_75 (team VARCHAR, kit_manufacturer VARCHAR, shirt_sponsor VARCHAR) | Para qual equipe a Adidas fabricou kits e camisas patrocinadoras TDK? |
77,527 | SELECT team FROM table_name_5 WHERE captain = "robbie earle" | On which team was Robbie Earle the captain? | CREATE TABLE table_name_5 (team VARCHAR, captain VARCHAR) | Em qual equipe Robbie Earle era o capitão? |
77,528 | SELECT manager_1 FROM table_name_24 WHERE captain = "neil redfearn" | Who was the manager for the team with captain Neil Redfearn? | CREATE TABLE table_name_24 (manager_1 VARCHAR, captain VARCHAR) | Quem era o gerente da equipe com o capitão Neil Redfearn? |
77,529 | SELECT captain FROM table_name_56 WHERE team = "crystal palace" | Who was the team captain for Crystal Palace? | CREATE TABLE table_name_56 (captain VARCHAR, team VARCHAR) | Quem foi o capitão da equipe do Crystal Palace? |
77,530 | SELECT MIN(score) FROM table_name_96 WHERE drop_goals > 0 AND penalties = 52 AND number > 5 | drop goals larger than 0, and a Penalties of 52, and a Number larger than 5 had what lowest score? | CREATE TABLE table_name_96 (score INTEGER, number VARCHAR, drop_goals VARCHAR, penalties VARCHAR) | Golos de queda maiores que 0, e uma penalidade de 52, e um número maior que 5 tiveram qual menor pontuação? |
77,531 | SELECT COUNT(score) FROM table_name_50 WHERE player = "jaco coetzee" AND tries > 6 | Player of jaco coetzee, and a Tries larger than 6 had what total number of score? | CREATE TABLE table_name_50 (score VARCHAR, player VARCHAR, tries VARCHAR) | Jogador de jaco coetzee, e um Tries maior que 6 tinha que número total de pontuação? |
77,532 | SELECT MAX(round) FROM table_name_60 WHERE school = "washington state university" | What is the highest round that has a draftee from Washington State University? | CREATE TABLE table_name_60 (round INTEGER, school VARCHAR) | Qual é a maior rodada que tem um rascunho da Universidade Estadual de Washington? |
77,533 | SELECT MAX(round) FROM table_name_16 WHERE name = "bob randall" | What round was Bob Randall selected in? | CREATE TABLE table_name_16 (round INTEGER, name VARCHAR) | Em que rodada Bob Randall foi selecionado? |
77,534 | SELECT ont FROM table_name_5 WHERE nb = "10" AND normal_total = "77" | Name the Ont of N.B. of 10 and normal total of 77 | CREATE TABLE table_name_5 (ont VARCHAR, nb VARCHAR, normal_total VARCHAR) | Nomear o Ont de N.B. de 10 e o total normal de 77 |
77,535 | SELECT date_enacted FROM table_name_73 WHERE ns = "10" AND normal_total = "104" | Name the date enacted for N.S. of 10 and normal total of 104 | CREATE TABLE table_name_73 (date_enacted VARCHAR, ns VARCHAR, normal_total VARCHAR) | Nomear a data promulgada para N.S. de 10 e o total normal de 104 |
77,536 | SELECT ns FROM table_name_11 WHERE normal_total = "102" | Name the NS with normal total of 102 | CREATE TABLE table_name_11 (ns VARCHAR, normal_total VARCHAR) | Nomeie o NS com o total normal de 102 |
77,537 | SELECT normal_total FROM table_name_62 WHERE que = "24" | Name the normal with que of 24 | CREATE TABLE table_name_62 (normal_total VARCHAR, que VARCHAR) | Nomear o normal com que de 24 |
77,538 | SELECT SUM(points) FROM table_name_41 WHERE entrant = "peter whitehead" AND chassis = "alta f2" | What is the sum of all the points won by Peter Whitehead in an alta f2 Chassis? | CREATE TABLE table_name_41 (points INTEGER, entrant VARCHAR, chassis VARCHAR) | Qual é a soma de todos os pontos ganhos por Peter Whitehead em um Chassi de alta f2? |
77,539 | SELECT points FROM table_name_95 WHERE entrant = "g a vandervell" | How many points does g a vandervell have? | CREATE TABLE table_name_95 (points VARCHAR, entrant VARCHAR) | Quantos pontos tem um Vandervell? |
77,540 | SELECT SUM(points) FROM table_name_77 WHERE chassis = "ferrari 125" AND year > 1952 | How many total points were earned with ferrari 125 Chassis after 1952? | CREATE TABLE table_name_77 (points INTEGER, chassis VARCHAR, year VARCHAR) | Quantos pontos totais foram ganhos com Ferrari 125 Chassis depois de 1952? |
77,541 | SELECT SUM(points) FROM table_name_42 WHERE entrant = "peter whitehead" AND chassis = "ferrari 125" | What is the total number of Points that Peter Whitehead earned in a Ferrari 125? | CREATE TABLE table_name_42 (points INTEGER, entrant VARCHAR, chassis VARCHAR) | Qual é o número total de pontos que Peter Whitehead ganhou em uma Ferrari 125? |
77,542 | SELECT d_41_√ FROM table_name_20 WHERE d_43_o = "r 13" | Name the D 41 √ for having D 43 of r 13 | CREATE TABLE table_name_20 (d_41_√ VARCHAR, d_43_o VARCHAR) | Nomeie o D 41 por ter D 43 de r 13 |
77,543 | SELECT COUNT(rank) FROM table_name_26 WHERE transfer_fee___€_million_ > 13 AND year > 2008 | What was the rank of a transfer fee larger than 13 million, and after 2008? | CREATE TABLE table_name_26 (rank VARCHAR, transfer_fee___€_million_ VARCHAR, year VARCHAR) | Qual foi a classificação de uma taxa de transferência maior que 13 milhões, e depois de 2008? |
77,544 | SELECT president FROM table_name_69 WHERE elected = 2010 | What president was elected in 2010? | CREATE TABLE table_name_69 (president VARCHAR, elected VARCHAR) | Qual presidente foi eleito em 2010? |
77,545 | SELECT AVG(_percentage_2006) FROM table_name_70 WHERE seats_2001 > 15 AND _percentage_2001 > 100 | When seats for 2001 is greater than 15 and % 2001 is greater than 100, what is the % 2006? | CREATE TABLE table_name_70 (_percentage_2006 INTEGER, seats_2001 VARCHAR, _percentage_2001 VARCHAR) | Quando os lugares para 2001 são superiores a 15 e o % 2001 é superior a 100, qual é o % 2006? |
77,546 | SELECT COUNT(_percentage_2001) FROM table_name_32 WHERE seats_2001 = 7 | What is the sum of % for 2001 if 2001 seats equals 7? | CREATE TABLE table_name_32 (_percentage_2001 VARCHAR, seats_2001 VARCHAR) | Qual é a soma de % para 2001 se os lugares de 2001 forem iguais a 7? |
77,547 | SELECT MAX(seats_2001) FROM table_name_71 WHERE _percentage_2006 = 13 AND _percentage_2001 > 12.1 | If 2006 is 13% and 2001 is greater than 12.1%, what is the greatest number of seats for 2001? | CREATE TABLE table_name_71 (seats_2001 INTEGER, _percentage_2006 VARCHAR, _percentage_2001 VARCHAR) | Se 2006 é 13% e 2001 é maior que 12,1%, qual é o maior número de assentos para 2001? |
77,548 | SELECT circumstances FROM table_name_18 WHERE nature_of_incident = "hostile" AND location = "road to jalalabad" | What were the circumstances of the Hostile incident on the road to Jalalabad? | CREATE TABLE table_name_18 (circumstances VARCHAR, nature_of_incident VARCHAR, location VARCHAR) | Quais foram as circunstâncias do incidente hostil na estrada para Jalalabad? |
77,549 | SELECT circumstances FROM table_name_89 WHERE location = "road to jalalabad" | What was the circumstance that happened on the road to Jalalabad? | CREATE TABLE table_name_89 (circumstances VARCHAR, location VARCHAR) | Qual foi a circunstância que aconteceu na estrada para Jalalabad? |
77,550 | SELECT circumstances FROM table_name_3 WHERE location = "mazar-i-sharif" | What happened in Mazar-i-sharif? | CREATE TABLE table_name_3 (circumstances VARCHAR, location VARCHAR) | O que aconteceu em Mazar-i-sharif? |
77,551 | SELECT index FROM table_name_23 WHERE country = "singapore" AND name = "chen bangjun andie" | What is the Index number of Chen Bangjun Andie from Singapore? | CREATE TABLE table_name_23 (index VARCHAR, country VARCHAR, name VARCHAR) | Qual é o número do índice de Chen Bangjun Andie de Singapura? |
77,552 | SELECT Chinese AS name FROM table_name_51 WHERE status = "eliminated" AND country = "singapore" AND index = "f9" | What is the Chinese name of the Eliminated player from Singapore in Index f9? | CREATE TABLE table_name_51 (Chinese VARCHAR, index VARCHAR, status VARCHAR, country VARCHAR) | Qual é o nome chinês do jogador Eliminado de Singapura no ndice f9? |
77,553 | SELECT Chinese AS name FROM table_name_73 WHERE index = "f10" | What is the Chinese name of the player in Index F10? | CREATE TABLE table_name_73 (Chinese VARCHAR, index VARCHAR) | Qual é o nome chinês do jogador no ndice F10? |
77,554 | SELECT name FROM table_name_67 WHERE country = "malaysia, kuala lumpur" AND index = "f8" | What is the name of the player from Malaysia, Kuala Lumpur in Index f8? | CREATE TABLE table_name_67 (name VARCHAR, country VARCHAR, index VARCHAR) | Qual é o nome do jogador da Malásia, Kuala Lumpur no ndice f8? |
77,555 | SELECT opponent FROM table_name_36 WHERE date = "august 8" | Who was the opponent of the game on August 8? | CREATE TABLE table_name_36 (opponent VARCHAR, date VARCHAR) | Quem foi o adversário do jogo em 8 de agosto? |
77,556 | SELECT winners FROM table_name_29 WHERE venue = "vojens" | Who took the winning slot at the Vojens venue? | CREATE TABLE table_name_29 (winners VARCHAR, venue VARCHAR) | Quem levou a vaga vencedora no local do Vojens? |
77,557 | SELECT runner_up FROM table_name_93 WHERE venue = "pocking" AND year = "1980" | Who was the runner-up in 1980 at the Pocking venue? | CREATE TABLE table_name_93 (runner_up VARCHAR, venue VARCHAR, year VARCHAR) | Quem foi o vice-campeão em 1980 no local de Pocking? |
77,558 | SELECT COUNT(rank) FROM table_name_71 WHERE fastest_time__s_ = "11.26" AND nation = "united states" | What rank did the United States swimmer come in who posted 11.26 seconds in the 100-meter youth female division? | CREATE TABLE table_name_71 (rank VARCHAR, fastest_time__s_ VARCHAR, nation VARCHAR) | Em que posição o nadador dos Estados Unidos chegou que postou 11,26 segundos na divisão feminina juvenil de 100 metros? |
77,559 | SELECT MIN(overall) FROM table_name_25 WHERE round > 17 | What is the lowest overall with more than 17 rounds? | CREATE TABLE table_name_25 (overall INTEGER, round INTEGER) | Qual é o menor total com mais de 17 rodadas? |
77,560 | SELECT position FROM table_name_15 WHERE round = 14 | What position has 14 rounds? | CREATE TABLE table_name_15 (position VARCHAR, round VARCHAR) | Qual posição tem 14 rodadas? |
77,561 | SELECT player FROM table_name_72 WHERE score = 69 - 73 - 68 = 210 AND country = "united states" | What United States player has a score of 69-73-68=210? | CREATE TABLE table_name_72 (player VARCHAR, country VARCHAR, score VARCHAR) | Qual jogador dos Estados Unidos tem uma pontuação de 69-73-68210? |
77,562 | SELECT score FROM table_name_49 WHERE place = "t10" AND country = "argentina" | What Argentina country is in t10 place? | CREATE TABLE table_name_49 (score VARCHAR, place VARCHAR, country VARCHAR) | Qual é o país da Argentina em t10? |
77,563 | SELECT country FROM table_name_99 WHERE score = 71 - 71 - 68 = 210 | Which country has the score of 71-71-68=210? | CREATE TABLE table_name_99 (country VARCHAR, score VARCHAR) | Qual país tem a pontuação de 71-71-68210? |
77,564 | SELECT to_par FROM table_name_29 WHERE score = 72 - 71 - 68 = 211 | What To par scored 72-71-68=211? | CREATE TABLE table_name_29 (to_par VARCHAR, score VARCHAR) | Que par marcou 72-71-68211? |
77,565 | SELECT award FROM table_name_94 WHERE result = "won" AND category = "choice tv villain" AND year > 2008 | Name the award won for category of choice tv villain in years after 2008 | CREATE TABLE table_name_94 (award VARCHAR, year VARCHAR, result VARCHAR, category VARCHAR) | Nomeie o prêmio ganho para a categoria de vilão de TV escolhido em anos após 2008 |
77,566 | SELECT award FROM table_name_38 WHERE result = "nominated" AND year > 2011 | Name the award for nominated result and year after 2011 | CREATE TABLE table_name_38 (award VARCHAR, result VARCHAR, year VARCHAR) | Nomear o prêmio para o resultado indicado e ano após 2011 |
77,567 | SELECT perth FROM table_name_97 WHERE sydney = "yes" AND gold_coast = "yes" AND adelaide = "no" | Which Perth also has Sydney yes, Gold Coast yes, and Adelaide no? | CREATE TABLE table_name_97 (perth VARCHAR, adelaide VARCHAR, sydney VARCHAR, gold_coast VARCHAR) | Que Perth também tem Sydney sim, Gold Coast sim, e Adelaide não? |
77,568 | SELECT perth FROM table_name_56 WHERE gold_coast = "yes" AND sydney = "yes" AND melbourne = "yes" AND adelaide = "yes" | Which Perth has Gold Coast yes, Sydney yes, Melbourne yes, and Adelaide yes? | CREATE TABLE table_name_56 (perth VARCHAR, adelaide VARCHAR, melbourne VARCHAR, gold_coast VARCHAR, sydney VARCHAR) | Que Perth tem Gold Coast sim, Sydney sim, Melbourne sim e Adelaide sim? |
77,569 | SELECT adelaide FROM table_name_31 WHERE sydney = "yes" AND melbourne = "yes" AND perth = "no" | Which Adelaide has Sydney yes, Melbourne yes, and Perth no? | CREATE TABLE table_name_31 (adelaide VARCHAR, perth VARCHAR, sydney VARCHAR, melbourne VARCHAR) | Que Adelaide tem Sydney sim, Melbourne sim, e Perth não? |
77,570 | SELECT adelaide FROM table_name_13 WHERE perth = "no" AND gold_coast = "yes" AND sydney = "yes" | Which Adelaide has Perth no, Gold Coast no, and Sydney yes? | CREATE TABLE table_name_13 (adelaide VARCHAR, sydney VARCHAR, perth VARCHAR, gold_coast VARCHAR) | Que Adelaide tem Perth não, Gold Coast não, e Sydney sim? |
77,571 | SELECT melbourne FROM table_name_11 WHERE gold_coast = "yes" AND perth = "cancelled" AND adelaide = "cancelled" | Which Melbourne has Gold Coast yes, Perth cancelled, and Adelaide cancelled? | CREATE TABLE table_name_11 (melbourne VARCHAR, adelaide VARCHAR, gold_coast VARCHAR, perth VARCHAR) | Que Melbourne tem Gold Coast sim, Perth cancelada e Adelaide cancelada? |
77,572 | SELECT melbourne FROM table_name_71 WHERE sydney = "yes" AND gold_coast = "yes" AND perth = "yes" | Which Melbourne has Sydney yes, Gold Coast yes, and Perth yes? | CREATE TABLE table_name_71 (melbourne VARCHAR, perth VARCHAR, sydney VARCHAR, gold_coast VARCHAR) | Que Melbourne tem Sydney sim, Gold Coast sim, e Perth sim? |
77,573 | SELECT 3 AS rd_place FROM table_name_30 WHERE winners = "matej žagar" | Who came in 3rd when Matej žagar won? | CREATE TABLE table_name_30 (winners VARCHAR) | Quem chegou em 3o quando Matej agar ganhou? |
77,574 | SELECT winners FROM table_name_25 WHERE venue = "krško" | Who won at Krško? | CREATE TABLE table_name_25 (winners VARCHAR, venue VARCHAR) | Quem ganhou em Krko? |
77,575 | SELECT 3 AS rd_place FROM table_name_2 WHERE winners = "nicolai klindt" | Who came in 3rd when Nicolai Klindt won? | CREATE TABLE table_name_2 (winners VARCHAR) | Quem chegou em 3o quando Nicolai Klindt venceu? |
77,576 | SELECT 3 AS rd_place FROM table_name_99 WHERE "venue" = "venue" | Who came in 3rd at Venue? | CREATE TABLE table_name_99 (Id VARCHAR) | Quem chegou em 3o lugar? |
77,577 | SELECT COUNT(week) FROM table_name_99 WHERE record = "1–0" | What is the total number of weeks that the Steelers had a record of 1–0? | CREATE TABLE table_name_99 (week VARCHAR, record VARCHAR) | Qual é o número total de semanas que os Steelers tiveram um recorde de 1-0? |
77,578 | SELECT opponent FROM table_name_46 WHERE result = "l 20–17" | Who was the opponent at the Steelers game that had a result of l 20–17? | CREATE TABLE table_name_46 (opponent VARCHAR, result VARCHAR) | Quem foi o adversário no jogo dos Steelers que teve um resultado de l 20-17? |
77,579 | SELECT condition FROM table_name_41 WHERE partial_thromboplastin_time = "prolonged" AND platelet_count = "unaffected" AND bleeding_time = "prolonged" | Name the condition for partial thromboplastin time of prolonged and platelet count of unaffected with bleeding time of prolonged | CREATE TABLE table_name_41 (condition VARCHAR, bleeding_time VARCHAR, partial_thromboplastin_time VARCHAR, platelet_count VARCHAR) | Nomear a condição para o tempo parcial de tromboplastina de contagem prolongada e plaquetária de não afetado com o tempo de sangramento de tempo prolongado |
77,580 | SELECT condition FROM table_name_14 WHERE partial_thromboplastin_time = "prolonged or unaffected" | Name the condition with partial thromboplastin time of prolonged or unaffected | CREATE TABLE table_name_14 (condition VARCHAR, partial_thromboplastin_time VARCHAR) | Nomeie a condição com tempo parcial de tromboplastina de tempo prolongado ou não afetado |
77,581 | SELECT condition FROM table_name_4 WHERE partial_thromboplastin_time = "unaffected" AND prothrombin_time = "unaffected" AND platelet_count = "decreased" | Name the condition with partial thromboplastin time of unaffected and prothrombin time of unaffected with platelet count of decreased | CREATE TABLE table_name_4 (condition VARCHAR, platelet_count VARCHAR, partial_thromboplastin_time VARCHAR, prothrombin_time VARCHAR) | Nomear a condição com tempo parcial de tromboplastina não afetada e tempo de protrombina não afetado com contagem de plaquetas diminuída |
77,582 | SELECT condition FROM table_name_52 WHERE platelet_count = "unaffected" AND bleeding_time = "unaffected" AND prothrombin_time = "prolonged" AND partial_thromboplastin_time = "prolonged" | Name the condition with platelet count of unaffected and bleeding time of unaffected with prothrombin time of prolonged and partial thromboplastin time of prolonged | CREATE TABLE table_name_52 (condition VARCHAR, partial_thromboplastin_time VARCHAR, prothrombin_time VARCHAR, platelet_count VARCHAR, bleeding_time VARCHAR) | Nomeie a condição com contagem plaquetária de tempo não afetado e sangramento de tempo não afetado com tempo de protrombina de tempo de tromboplastina prolongada e parcial de tempo prolongado |
77,583 | SELECT bleeding_time FROM table_name_83 WHERE platelet_count = "unaffected" AND condition = "factor xii deficiency" | Name the bleeding time with platelet count of unaffected and condition of factor xii deficiency | CREATE TABLE table_name_83 (bleeding_time VARCHAR, platelet_count VARCHAR, condition VARCHAR) | Nomeie o tempo de sangramento com contagem de plaquetas não afetadas e condição de deficiência de fator xii |
77,584 | SELECT AVG(losses) FROM table_name_8 WHERE efficiency__percentage = "6.3%" AND draws < 1 | what is the number of losses with draws less than 1 and 6.3% efficiency? | CREATE TABLE table_name_8 (losses INTEGER, efficiency__percentage VARCHAR, draws VARCHAR) | qual é o número de perdas com menos de 1 e 6,3% de eficiência? |
77,585 | SELECT COUNT(draws) FROM table_name_12 WHERE name = "ali said gouled" | what is the number of draws for ali said gouled? | CREATE TABLE table_name_12 (draws VARCHAR, name VARCHAR) | Qual é o número de empates para Ali disse gouled? |
77,586 | SELECT COUNT(draws) FROM table_name_11 WHERE losses = 4 AND efficiency__percentage = "28.6%" | what is the number of draws when there are 4 losses and 28.6% efficiency? | CREATE TABLE table_name_11 (draws VARCHAR, losses VARCHAR, efficiency__percentage VARCHAR) | qual é o número de sorteios quando há 4 perdas e 28,6% de eficiência? |
77,587 | SELECT females FROM table_name_60 WHERE males = "1 548" | Name the females when males are 1 548 | CREATE TABLE table_name_60 (females VARCHAR, males VARCHAR) | Nomeie as fêmeas quando os machos tiverem 1 548 anos |
77,588 | SELECT percentage___percentage_ FROM table_name_11 WHERE number = "1 343" | Name the percentage with number of 1 343 | CREATE TABLE table_name_11 (percentage___percentage_ VARCHAR, number VARCHAR) | Nomear a percentagem com o número de 1 343 |
77,589 | SELECT percentage___percentage_ FROM table_name_17 WHERE females = "2" | Name the percentage which has females of 2 | CREATE TABLE table_name_17 (percentage___percentage_ VARCHAR, females VARCHAR) | Nomeie a porcentagem que tem fêmeas de 2 |
77,590 | SELECT males FROM table_name_57 WHERE language = "persons that didn't name their native language" | Name the males for language of persons that didn't name their native language | CREATE TABLE table_name_57 (males VARCHAR, language VARCHAR) | Nomear os machos para a língua das pessoas que não nomearam sua língua nativa |
77,591 | SELECT school_colors FROM table_name_66 WHERE main_campus_location = "overland park" | What are the school colors for the college whose main campus is overland park? | CREATE TABLE table_name_66 (school_colors VARCHAR, main_campus_location VARCHAR) | Quais são as cores da escola para a faculdade cujo campus principal é o parque terrestre? |
77,592 | SELECT MIN(founded) FROM table_name_37 WHERE institution = "independence community college" | What is independence community college's newest campus? | CREATE TABLE table_name_37 (founded INTEGER, institution VARCHAR) | O que é o campus mais novo da faculdade da comunidade da independência? |
77,593 | SELECT main_campus_location FROM table_name_61 WHERE founded = 1967 | What college was founded in 1967? | CREATE TABLE table_name_61 (main_campus_location VARCHAR, founded VARCHAR) | Qual faculdade foi fundada em 1967? |
77,594 | SELECT name FROM table_name_9 WHERE function = "explorator" | Who had a function of explorator? | CREATE TABLE table_name_9 (name VARCHAR, function VARCHAR) | Quem tinha uma função de explorador? |
77,595 | SELECT competing_entities FROM table_name_4 WHERE first_held < 1970 | Can you tell me the Competing entities that has the First held smaller than 1970? | CREATE TABLE table_name_4 (competing_entities VARCHAR, first_held INTEGER) | Você pode me dizer as entidades concorrentes que têm o primeiro realizada menor do que 1970? |
77,596 | SELECT surface FROM table_name_42 WHERE date = "october 3, 2010" | What surface was played on on October 3, 2010? | CREATE TABLE table_name_42 (surface VARCHAR, date VARCHAR) | Em que superfície foi jogado em 3 de outubro de 2010? |
77,597 | SELECT tier FROM table_name_5 WHERE opponent_in_the_final = "manana shapakidze" | What was the tier versus Manana Shapakidze? | CREATE TABLE table_name_5 (tier VARCHAR, opponent_in_the_final VARCHAR) | Qual foi o nível contra Manana Shapakidze? |
77,598 | SELECT score FROM table_name_85 WHERE opponent_in_the_final = "michaela pochabová" | What was the score versus Michaela Pochabová? | CREATE TABLE table_name_85 (score VARCHAR, opponent_in_the_final VARCHAR) | Qual foi o resultado contra Michaela Pochabová? |
77,599 | SELECT opponent_in_the_final FROM table_name_75 WHERE date = "may 8, 2006" | Who was the opponent on May 8, 2006? | CREATE TABLE table_name_75 (opponent_in_the_final VARCHAR, date VARCHAR) | Quem foi o adversário em 8 de maio de 2006? |
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