instruction stringlengths 67 299 | input stringlengths 88 550 | output stringlengths 32 484 |
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Write a SQL query that answers the following question: What is the surface of the palermo, italy championship? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_61 (surface VARCHAR, championship VARCHAR) | SELECT surface FROM table_name_61 WHERE championship = "palermo, italy" |
Write a SQL query that answers the following question: In what Round was OL Player Richard Zulys picked? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_92 (round INTEGER, position VARCHAR, player VARCHAR) | SELECT SUM(round) FROM table_name_92 WHERE position = "ol" AND player = "richard zulys" |
Write a SQL query that answers the following question: What is the Player from McGill? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_30 (player VARCHAR, school_club_team VARCHAR) | SELECT player FROM table_name_30 WHERE school_club_team = "mcgill" |
Write a SQL query that answers the following question: Which College had an Overall pick of 171? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_53 (college VARCHAR, overall VARCHAR) | SELECT college FROM table_name_53 WHERE overall = 171 |
Write a SQL query that answers the following question: Who had the overall pick of 72? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_36 (name VARCHAR, overall VARCHAR) | SELECT name FROM table_name_36 WHERE overall = 72 |
Write a SQL query that answers the following question: What primary conference does the team nicknamed Phoenix belongs to? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_39 (primary_conference VARCHAR, team_nickname VARCHAR) | SELECT primary_conference FROM table_name_39 WHERE team_nickname = "phoenix" |
Write a SQL query that answers the following question: Where is the location for the home rink Triangle sports plex/Greensboro ice house? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_36 (location VARCHAR, home_rink VARCHAR) | SELECT location FROM table_name_36 WHERE home_rink = "triangle sports plex/greensboro ice house" |
Write a SQL query that answers the following question: What pick was a player that previously played for the Minnesota Lynx? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_60 (pick INTEGER, former_wnba_team VARCHAR) | SELECT SUM(pick) FROM table_name_60 WHERE former_wnba_team = "minnesota lynx" |
Write a SQL query that answers the following question: Which player was picked after 23? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_89 (player VARCHAR, pick INTEGER) | SELECT player FROM table_name_89 WHERE pick > 23 |
Write a SQL query that answers the following question: What is the nationality of the player who went to college at Mississippi? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_74 (nationality VARCHAR, college_country_team VARCHAR) | SELECT nationality FROM table_name_74 WHERE college_country_team = "mississippi" |
Write a SQL query that answers the following question: Who is the player who played for the Miami Sol and went to school at North Carolina State? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_62 (player VARCHAR, new_wnba_team VARCHAR, college_country_team VARCHAR) | SELECT player FROM table_name_62 WHERE new_wnba_team = "miami sol" AND college_country_team = "north carolina state" |
Write a SQL query that answers the following question: WHAT IS THE AVG AST FOR GAMES LARGER THAN 101, RANK 5, TOTAL ASSISTS SMALLER THAN 331? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_74 (ast_avg INTEGER, total_assists VARCHAR, games VARCHAR, rank VARCHAR) | SELECT AVG(ast_avg) FROM table_name_74 WHERE games > 101 AND rank = 5 AND total_assists < 331 |
Write a SQL query that answers the following question: WHAT IS THE SUM OF AST AVG WITH RANK 5 AND GAMES BIGGER THAN 108? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_20 (ast_avg INTEGER, rank VARCHAR, games VARCHAR) | SELECT SUM(ast_avg) FROM table_name_20 WHERE rank = 5 AND games > 108 |
Write a SQL query that answers the following question: Which Round has a Name of john goodyear? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_55 (round VARCHAR, name VARCHAR) | SELECT round FROM table_name_55 WHERE name = "john goodyear" |
Write a SQL query that answers the following question: Which Round has a College of appalachian state, and an Overall smaller than 156? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_64 (round VARCHAR, college VARCHAR, overall VARCHAR) | SELECT COUNT(round) FROM table_name_64 WHERE college = "appalachian state" AND overall < 156 |
Write a SQL query that answers the following question: Which Pick has a Round larger than 17, and a Name of gene stewart? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_46 (pick VARCHAR, round VARCHAR, name VARCHAR) | SELECT COUNT(pick) FROM table_name_46 WHERE round > 17 AND name = "gene stewart" |
Write a SQL query that answers the following question: What was the result when the opponent was Rory Markham? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_96 (res VARCHAR, opponent VARCHAR) | SELECT res FROM table_name_96 WHERE opponent = "rory markham" |
Write a SQL query that answers the following question: Which Branding has a frequency of 1080khz? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_27 (branding VARCHAR, frequency VARCHAR) | SELECT branding FROM table_name_27 WHERE frequency = "1080khz" |
Write a SQL query that answers the following question: Which frequency is located in Dagupan? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_23 (frequency VARCHAR, location VARCHAR) | SELECT frequency FROM table_name_23 WHERE location = "dagupan" |
Write a SQL query that answers the following question: What frequency does branding dzec radyo agila 1062 have? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_33 (frequency VARCHAR, branding VARCHAR) | SELECT frequency FROM table_name_33 WHERE branding = "dzec radyo agila 1062" |
Write a SQL query that answers the following question: Which frequency has 40kw power? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_5 (frequency VARCHAR, power__kw_ VARCHAR) | SELECT frequency FROM table_name_5 WHERE power__kw_ = "40kw" |
Write a SQL query that answers the following question: Which frequency is located in Davao? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_35 (frequency VARCHAR, location VARCHAR) | SELECT frequency FROM table_name_35 WHERE location = "davao" |
Write a SQL query that answers the following question: what is the peak population (year) for scranton? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_34 (peak_population__year_ VARCHAR, city VARCHAR) | SELECT peak_population__year_ FROM table_name_34 WHERE city = "scranton" |
Write a SQL query that answers the following question: what is the numeric decline from peak population when the perfect decline from peak population is -16.76% | The relevant table was constructed using the following SQL : CREATE TABLE table_name_99 (numeric_decline_from_peak_population VARCHAR, percent_decline_from_peak_population VARCHAR) | SELECT numeric_decline_from_peak_population FROM table_name_99 WHERE percent_decline_from_peak_population = "-16.76%" |
Write a SQL query that answers the following question: what is the state when the peak population (year) is 134995 (1950)? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_33 (state VARCHAR, peak_population__year_ VARCHAR) | SELECT state FROM table_name_33 WHERE peak_population__year_ = "134995 (1950)" |
Write a SQL query that answers the following question: what is the percent decline from peak population when the peak population (year) is 178320 (1960)? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_98 (percent_decline_from_peak_population VARCHAR, peak_population__year_ VARCHAR) | SELECT percent_decline_from_peak_population FROM table_name_98 WHERE peak_population__year_ = "178320 (1960)" |
Write a SQL query that answers the following question: WHAT IS THE RANK OF UNIVERSAL, AND DIRECTOR JOHN HUGHES? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_7 (rank VARCHAR, studio VARCHAR, director VARCHAR) | SELECT rank FROM table_name_7 WHERE studio = "universal" AND director = "john hughes" |
Write a SQL query that answers the following question: WHAT IS THE TITLE THAT HAS A RANK BIGGER THAN 10, FOR DIRECTOR WALTER HILL? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_98 (title VARCHAR, rank VARCHAR, director VARCHAR) | SELECT title FROM table_name_98 WHERE rank > 10 AND director = "walter hill" |
Write a SQL query that answers the following question: WHAT IS THE STUDIO WITH THE TITLE MASK? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_41 (studio VARCHAR, title VARCHAR) | SELECT studio FROM table_name_41 WHERE title = "mask" |
Write a SQL query that answers the following question: WHAT IS THE RANK WITH A GROSS OF $96,773,200? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_59 (rank VARCHAR, gross VARCHAR) | SELECT COUNT(rank) FROM table_name_59 WHERE gross = "$96,773,200" |
Write a SQL query that answers the following question: How many times was the player drawn that had less than 12 losses and a goal difference of +20? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_44 (drawn VARCHAR, lost VARCHAR, goal_difference VARCHAR) | SELECT drawn FROM table_name_44 WHERE lost < 12 AND goal_difference = "+20" |
Write a SQL query that answers the following question: What is the sum of the positions for the player who had less than 25 losses, a goal difference of +20, 10 draws, and played less than 42? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_36 (position INTEGER, played VARCHAR, goal_difference VARCHAR, drawn VARCHAR, lost VARCHAR) | SELECT SUM(position) FROM table_name_36 WHERE drawn = 10 AND lost < 25 AND goal_difference = "+20" AND played < 42 |
Write a SQL query that answers the following question: What is the highest number played when there were less than 13 losses and a goal difference of +46? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_89 (played INTEGER, lost VARCHAR, goal_difference VARCHAR) | SELECT MAX(played) FROM table_name_89 WHERE lost < 13 AND goal_difference = "+46" |
Write a SQL query that answers the following question: What is listed under points 1 when the position was greater than 4, there were 54 goals for and more than 11 losses? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_75 (points_1 VARCHAR, lost VARCHAR, position VARCHAR, goals_for VARCHAR) | SELECT points_1 FROM table_name_75 WHERE position > 4 AND goals_for = 54 AND lost > 11 |
Write a SQL query that answers the following question: Who was the worship leader that had a lead supporting vocal Marcus Temu? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_33 (worship_leader VARCHAR, lead_supporting_vocal VARCHAR) | SELECT worship_leader FROM table_name_33 WHERE lead_supporting_vocal = "marcus temu" |
Write a SQL query that answers the following question: Who was the lead supporting vocalist on the song that was 4:54 long? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_32 (lead_supporting_vocal VARCHAR, time VARCHAR) | SELECT lead_supporting_vocal FROM table_name_32 WHERE time = "4:54" |
Write a SQL query that answers the following question: Who was the Worship Leader for the song that was 7:05 long? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_17 (worship_leader VARCHAR, time VARCHAR) | SELECT worship_leader FROM table_name_17 WHERE time = "7:05" |
Write a SQL query that answers the following question: What is the song name that featured Marcus Temu as the lead supporting vocalist? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_12 (song VARCHAR, lead_supporting_vocal VARCHAR) | SELECT song FROM table_name_12 WHERE lead_supporting_vocal = "marcus temu" |
Write a SQL query that answers the following question: What's the lowest diameter when the longitude is 71.1w? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_71 (diameter INTEGER, longitude VARCHAR) | SELECT MIN(diameter) FROM table_name_71 WHERE longitude = "71.1w" |
Write a SQL query that answers the following question: What is dardanus sulcus' lowest diameter? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_7 (diameter INTEGER, name VARCHAR) | SELECT MIN(diameter) FROM table_name_7 WHERE name = "dardanus sulcus" |
Write a SQL query that answers the following question: How many years is ur sulcus listed with a diameter less than 1,145.0? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_68 (year_named VARCHAR, name VARCHAR, diameter VARCHAR) | SELECT COUNT(year_named) FROM table_name_68 WHERE name = "ur sulcus" AND diameter < 1 OFFSET 145.0 |
Write a SQL query that answers the following question: When the attendance was 3188 what was the score? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_78 (score VARCHAR, attendance VARCHAR) | SELECT score FROM table_name_78 WHERE attendance = 3188 |
Write a SQL query that answers the following question: What is the maximum number of people in attendance on 16 August 2008 when the home team was Deportes Savio? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_69 (attendance INTEGER, date VARCHAR, home VARCHAR) | SELECT MAX(attendance) FROM table_name_69 WHERE date = "16 august 2008" AND home = "deportes savio" |
Write a SQL query that answers the following question: What team was the away team when the Deportes Savio was the home team? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_49 (away VARCHAR, home VARCHAR) | SELECT away FROM table_name_49 WHERE home = "deportes savio" |
Write a SQL query that answers the following question: What was the away team when the score was 3:1? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_93 (away VARCHAR, score VARCHAR) | SELECT away FROM table_name_93 WHERE score = "3:1" |
Write a SQL query that answers the following question: When Platense was the away team on 16 August 2008 how many people attended the game? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_29 (attendance VARCHAR, date VARCHAR, away VARCHAR) | SELECT attendance FROM table_name_29 WHERE date = "16 august 2008" AND away = "platense" |
Write a SQL query that answers the following question: What was the score when 2441 people were in attendance? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_17 (score VARCHAR, attendance VARCHAR) | SELECT score FROM table_name_17 WHERE attendance = 2441 |
Write a SQL query that answers the following question: Which driver had 35+3 points? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_77 (driver VARCHAR, points VARCHAR) | SELECT driver FROM table_name_77 WHERE points = "35+3" |
Write a SQL query that answers the following question: What was the time/retired for the driver with 14 points? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_78 (time_retired VARCHAR, points VARCHAR) | SELECT time_retired FROM table_name_78 WHERE points = "14" |
Write a SQL query that answers the following question: What is the sum of goals when the league cup goals are 4 and the FA cup goals are 0? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_79 (total VARCHAR, league_cup_goals VARCHAR, fa_cup_goals VARCHAR) | SELECT total FROM table_name_79 WHERE league_cup_goals = "4" AND fa_cup_goals = "0" |
Write a SQL query that answers the following question: What is the amount of FA cups goals that were made when the total goals is greater than 16, and the league cup goals is 1 for the Norwich City club? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_78 (fa_cup_goals VARCHAR, club VARCHAR, total VARCHAR, league_cup_goals VARCHAR) | SELECT fa_cup_goals FROM table_name_78 WHERE total > 16 AND league_cup_goals = "1" AND club = "norwich city" |
Write a SQL query that answers the following question: What is the number of league goals when Bill Dearden was the scorer and there was 0 league cup goals? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_66 (league_goals VARCHAR, league_cup_goals VARCHAR, scorer VARCHAR) | SELECT league_goals FROM table_name_66 WHERE league_cup_goals = "0" AND scorer = "bill dearden" |
Write a SQL query that answers the following question: What is the name of the player with a transfer window in summer, an undisclosed transfer fee, and is moving from brussels? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_15 (name VARCHAR, moving_from VARCHAR, transfer_window VARCHAR, transfer_fee VARCHAR) | SELECT name FROM table_name_15 WHERE transfer_window = "summer" AND transfer_fee = "undisclosed" AND moving_from = "brussels" |
Write a SQL query that answers the following question: What is the type of bulykin, which has a summer transfer window? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_79 (type VARCHAR, transfer_window VARCHAR, name VARCHAR) | SELECT type FROM table_name_79 WHERE transfer_window = "summer" AND name = "bulykin" |
Write a SQL query that answers the following question: What is the country of cordier? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_70 (country VARCHAR, name VARCHAR) | SELECT country FROM table_name_70 WHERE name = "cordier" |
Write a SQL query that answers the following question: What is the country of the player moving from belgrano with a summer transfer window? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_69 (country VARCHAR, transfer_window VARCHAR, moving_from VARCHAR) | SELECT country FROM table_name_69 WHERE transfer_window = "summer" AND moving_from = "belgrano" |
Write a SQL query that answers the following question: What is the transfer window of the player moving from barueri? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_40 (transfer_window VARCHAR, moving_from VARCHAR) | SELECT transfer_window FROM table_name_40 WHERE moving_from = "barueri" |
Write a SQL query that answers the following question: What is the type of the player moving from belgrano? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_11 (type VARCHAR, moving_from VARCHAR) | SELECT type FROM table_name_11 WHERE moving_from = "belgrano" |
Write a SQL query that answers the following question: Average round for 22 pick that is overall smaller than 229? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_94 (round INTEGER, pick VARCHAR, overall VARCHAR) | SELECT AVG(round) FROM table_name_94 WHERE pick = 22 AND overall < 229 |
Write a SQL query that answers the following question: What is the normal 2002 that has a Country of Peru, and 2007 bigger than 1,200? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_88 (country VARCHAR) | SELECT AVG(2002) FROM table_name_88 WHERE country = "peru" AND 2007 > 1 OFFSET 200 |
Write a SQL query that answers the following question: What is the least 2009 that has 2005 littler than 640, and 2011 of 425, and 2003 littler than 500? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_81 (Id VARCHAR) | SELECT MIN(2009) FROM table_name_81 WHERE 2005 < 640 AND 2011 = 425 AND 2003 < 500 |
Write a SQL query that answers the following question: How many Bronze medals did the Nation with 0 Silver receive? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_37 (bronze INTEGER, silver INTEGER) | SELECT MAX(bronze) FROM table_name_37 WHERE silver < 0 |
Write a SQL query that answers the following question: How many Gold medals did the Nation with less than 8 Total medals including 1 Bronze and 0 Silver receive? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_88 (gold INTEGER, silver VARCHAR, total VARCHAR, bronze VARCHAR) | SELECT MIN(gold) FROM table_name_88 WHERE total < 8 AND bronze < 1 AND silver < 1 |
Write a SQL query that answers the following question: How many Total medals did the Nation the got 0 Bronze medals receive? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_47 (total INTEGER, bronze INTEGER) | SELECT AVG(total) FROM table_name_47 WHERE bronze < 0 |
Write a SQL query that answers the following question: What Nation had a more than 1 Total medal including less than 3 Silver, less than 4 Gold and a Rank of 4? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_46 (nation VARCHAR, rank VARCHAR, gold VARCHAR, silver VARCHAR, total VARCHAR) | SELECT nation FROM table_name_46 WHERE silver < 3 AND total > 1 AND gold < "4" AND rank = "4" |
Write a SQL query that answers the following question: How many Silver medals did the Nation ranking 8 with more than 1 Total medal but less than 1 Gold receive? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_21 (silver INTEGER, total VARCHAR, gold VARCHAR, rank VARCHAR) | SELECT SUM(silver) FROM table_name_21 WHERE gold < 1 AND rank = "8" AND total > 1 |
Write a SQL query that answers the following question: What is the start date with Luke Jacobz hosting and Dannii Minogue as a winning mentor? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_16 (start VARCHAR, main_host VARCHAR, winning_mentor VARCHAR) | SELECT start FROM table_name_16 WHERE main_host = "luke jacobz" AND winning_mentor = "dannii minogue" |
Write a SQL query that answers the following question: Who was in third place when Guy Sebastian was the winning mentor and Andrew Wishart was the runner-up? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_59 (third_place VARCHAR, winning_mentor VARCHAR, runner_up VARCHAR) | SELECT third_place FROM table_name_59 WHERE winning_mentor = "guy sebastian" AND runner_up = "andrew wishart" |
Write a SQL query that answers the following question: In what Election year was Adalberto Mosaner the Mayor with less than 16,170 Inhabitants? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_64 (election INTEGER, mayor VARCHAR, inhabitants VARCHAR) | SELECT SUM(election) FROM table_name_64 WHERE mayor = "adalberto mosaner" AND inhabitants < 16 OFFSET 170 |
Write a SQL query that answers the following question: In what Election year were there less than 16,170 Inhabitants? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_14 (election VARCHAR, inhabitants INTEGER) | SELECT COUNT(election) FROM table_name_14 WHERE inhabitants < 16 OFFSET 170 |
Write a SQL query that answers the following question: What is the Mayor of Riva del Garda in 2010? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_37 (mayor VARCHAR, election VARCHAR, municipality VARCHAR) | SELECT mayor FROM table_name_37 WHERE election = 2010 AND municipality = "riva del garda" |
Write a SQL query that answers the following question: How many Inhabitants were there after 2009 in the Municipality with a Party of union for trentino? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_7 (inhabitants INTEGER, party VARCHAR, election VARCHAR) | SELECT AVG(inhabitants) FROM table_name_7 WHERE party = "union for trentino" AND election > 2009 |
Write a SQL query that answers the following question: What is the lowest enrolled school that was founded in 1992 and joined a conference before 1998? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_19 (enrollment INTEGER, founded VARCHAR, joined_conference VARCHAR) | SELECT MIN(enrollment) FROM table_name_19 WHERE founded = "1992" AND joined_conference < 1998 |
Write a SQL query that answers the following question: Which foot ball team played soccer at wooster, and Gold in Ashland? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_2 (football VARCHAR, soccer VARCHAR, golf VARCHAR) | SELECT football FROM table_name_2 WHERE soccer = "wooster" AND golf = "ashland" |
Write a SQL query that answers the following question: What is the total for the team with fewer than 2 bronze, ranked less than 4 and fewer than 1 silver? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_98 (total VARCHAR, silver VARCHAR, bronze VARCHAR, rank VARCHAR) | SELECT COUNT(total) FROM table_name_98 WHERE bronze < 2 AND rank < 4 AND silver < 1 |
Write a SQL query that answers the following question: How many silver for the team with more than 2 bronze and more than 7 gold? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_53 (silver VARCHAR, bronze VARCHAR, gold VARCHAR) | SELECT COUNT(silver) FROM table_name_53 WHERE bronze > 2 AND gold > 7 |
Write a SQL query that answers the following question: What is the total for the team with 0 bronze and 3 silver? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_41 (total INTEGER, bronze VARCHAR, silver VARCHAR) | SELECT SUM(total) FROM table_name_41 WHERE bronze = 0 AND silver = 3 |
Write a SQL query that answers the following question: What is the total number of Rounds held in Nevada, United States in which the time was 1:55? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_5 (round VARCHAR, location VARCHAR, time VARCHAR) | SELECT COUNT(round) FROM table_name_5 WHERE location = "nevada, united states" AND time = "1:55" |
Write a SQL query that answers the following question: What was the time when his opponent was Rudy Martin? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_5 (time VARCHAR, opponent VARCHAR) | SELECT time FROM table_name_5 WHERE opponent = "rudy martin" |
Write a SQL query that answers the following question: What was the method when the fight's time was 1:52? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_31 (method VARCHAR, time VARCHAR) | SELECT method FROM table_name_31 WHERE time = "1:52" |
Write a SQL query that answers the following question: What is the lowest overs of the Chennai Super Kings when the Economy Rate is less than 5.92 with a Best Bowling number of 2/17? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_29 (overs INTEGER, economy_rate VARCHAR, team VARCHAR, best_bowling VARCHAR) | SELECT MIN(overs) FROM table_name_29 WHERE team = "chennai super kings" AND best_bowling = "2/17" AND economy_rate < 5.92 |
Write a SQL query that answers the following question: What is the lowest number of Overs for the Royal Challengers Bangalore? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_50 (overs INTEGER, team VARCHAR) | SELECT MIN(overs) FROM table_name_50 WHERE team = "royal challengers bangalore" |
Write a SQL query that answers the following question: What is the highest Strike Rate when the average is less than 50.25 with less than 13 matches played? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_15 (strike_rate INTEGER, matches VARCHAR, average VARCHAR) | SELECT MAX(strike_rate) FROM table_name_15 WHERE matches < 13 AND average < 50.25 |
Write a SQL query that answers the following question: What is the venue of the race where Lineth Chepkurui placed 4th? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_12 (venue VARCHAR, position VARCHAR) | SELECT venue FROM table_name_12 WHERE position = "4th" |
Write a SQL query that answers the following question: What is the venue of the team race that was before 2010? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_13 (venue VARCHAR, notes VARCHAR, year VARCHAR) | SELECT venue FROM table_name_13 WHERE notes = "team" AND year < 2010 |
Write a SQL query that answers the following question: What is the venue of the team race that was after 2008? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_23 (venue VARCHAR, year VARCHAR, notes VARCHAR) | SELECT venue FROM table_name_23 WHERE year > 2008 AND notes = "team" |
Write a SQL query that answers the following question: What competition did Lineth Chepkurui place 5th? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_27 (competition VARCHAR, position VARCHAR) | SELECT competition FROM table_name_27 WHERE position = "5th" |
Write a SQL query that answers the following question: How many votes did Lee Teng-Hui receive when he was elected? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_7 (total_votes INTEGER, outcome VARCHAR, candidate VARCHAR) | SELECT MAX(total_votes) FROM table_name_7 WHERE outcome = "elected" AND candidate = "lee teng-hui" |
Write a SQL query that answers the following question: What was the score for a match before 13, and a home game on April 21, 2008? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_11 (score VARCHAR, date VARCHAR, match VARCHAR, home_away VARCHAR) | SELECT score FROM table_name_11 WHERE match < 13 AND home_away = "home" AND date = "april 21, 2008" |
Write a SQL query that answers the following question: What home/away game is on February 29, 2008? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_19 (home_away VARCHAR, date VARCHAR) | SELECT home_away FROM table_name_19 WHERE date = "february 29, 2008" |
Write a SQL query that answers the following question: What team was the home team when Manchester City was the away team? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_88 (home_team VARCHAR, away_team VARCHAR) | SELECT home_team FROM table_name_88 WHERE away_team = "manchester city" |
Write a SQL query that answers the following question: What is the sum of Points, when Equipment was "Zabel-BSU", and when Position was 42? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_39 (points INTEGER, equipment VARCHAR, position VARCHAR) | SELECT SUM(points) FROM table_name_39 WHERE equipment = "zabel-bsu" AND position = 42 |
Write a SQL query that answers the following question: What is Equipment, when Points is less than 6, and when Position is 53? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_79 (equipment VARCHAR, points VARCHAR, position VARCHAR) | SELECT equipment FROM table_name_79 WHERE points < 6 AND position = 53 |
Write a SQL query that answers the following question: What is Second, when Position is greater than 33, when Points is greater than 12, and when Equipment is Zabel-VMC? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_51 (second VARCHAR, equipment VARCHAR, position VARCHAR, points VARCHAR) | SELECT second FROM table_name_51 WHERE position > 33 AND points > 12 AND equipment = "zabel-vmc" |
Write a SQL query that answers the following question: What is Equipment, when Position is greater than 28, and when Points is greater than 10? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_51 (equipment VARCHAR, position VARCHAR, points VARCHAR) | SELECT equipment FROM table_name_51 WHERE position > 28 AND points > 10 |
Write a SQL query that answers the following question: When Hawthorn is the away team, what is their score? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_84 (away_team VARCHAR) | SELECT away_team AS score FROM table_name_84 WHERE away_team = "hawthorn" |
Write a SQL query that answers the following question: Which ground has a crowd over 41,185? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_79 (ground VARCHAR, crowd INTEGER) | SELECT ground FROM table_name_79 WHERE crowd > 41 OFFSET 185 |
Write a SQL query that answers the following question: What place has a 67-68-78-77=290 score? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_25 (place VARCHAR, score VARCHAR) | SELECT place FROM table_name_25 WHERE score = 67 - 68 - 78 - 77 = 290 |
Write a SQL query that answers the following question: What is the highest to par of the player from the United States with a t3 place and a 74-73-72-69=288 place? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_30 (to_par INTEGER, country VARCHAR, place VARCHAR, score VARCHAR) | SELECT MAX(to_par) FROM table_name_30 WHERE country = "united states" AND place = "t3" AND score = 74 - 73 - 72 - 69 = 288 |
Write a SQL query that answers the following question: What is the place of player peter oosterhuis, who has $7,500? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_7 (place VARCHAR, money___$__ VARCHAR, player VARCHAR) | SELECT place FROM table_name_7 WHERE money___$__ = "7,500" AND player = "peter oosterhuis" |
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