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###context:CREATE TABLE table_name_49 (team VARCHAR, coach VARCHAR)
###human: Which team has Yuriy Hruznov as coach?
###assistant: SELECT team FROM table_name_49 WHERE coach = "yuriy hruznov" |
###context:CREATE TABLE table_name_38 (location VARCHAR, team VARCHAR)
###human: Where is Dynamo-2 located?
###assistant: SELECT location FROM table_name_38 WHERE team = "dynamo-2" |
###context:CREATE TABLE table_name_81 (location VARCHAR, team VARCHAR)
###human: Where is Shakhtar-2 located?
###assistant: SELECT location FROM table_name_81 WHERE team = "shakhtar-2" |
###context:CREATE TABLE table_name_71 (score VARCHAR, tournament VARCHAR)
###human: For the gte northwest classic with the score of 207 (-9), what is the average 1st prize ($)
###assistant: SELECT AVG(1 AS st_prize__) AS $__ FROM table_name_71 WHERE score = "207 (-9)" AND tournament = "gte northwest classic" |
###context:CREATE TABLE table_name_56 (date VARCHAR)
###human: For sep 18 what is the total number of 1 prize ($)
###assistant: SELECT COUNT(1 AS st_prize__) AS $__ FROM table_name_56 WHERE date = "sep 18" |
###context:CREATE TABLE table_name_99 (winner VARCHAR, location VARCHAR)
###human: What is the winner for Virginia?
###assistant: SELECT winner FROM table_name_99 WHERE location = "virginia" |
###context:CREATE TABLE table_name_81 (date VARCHAR, tournament VARCHAR)
###human: On what date was the gte north classic tournament?
###assistant: SELECT date FROM table_name_81 WHERE tournament = "gte north classic" |
###context:CREATE TABLE table_name_81 (home_team VARCHAR, venue VARCHAR)
###human: What home team plays at princes park?
###assistant: SELECT home_team FROM table_name_81 WHERE venue = "princes park" |
###context:CREATE TABLE table_name_78 (venue VARCHAR, home_team VARCHAR)
###human: Where does the home team fitzroy play?
###assistant: SELECT venue FROM table_name_78 WHERE home_team = "fitzroy" |
###context:CREATE TABLE table_name_30 (extra VARCHAR, result VARCHAR, year VARCHAR)
###human: Which extra resulted in 2nd before 2005?
###assistant: SELECT extra FROM table_name_30 WHERE result = "2nd" AND year < 2005 |
###context:CREATE TABLE table_name_27 (venue VARCHAR, result VARCHAR, year VARCHAR)
###human: Which venue resulted in 2nd before 2005?
###assistant: SELECT venue FROM table_name_27 WHERE result = "2nd" AND year < 2005 |
###context:CREATE TABLE table_name_22 (attendance VARCHAR, loss VARCHAR)
###human: What was the attendance at the Red Sox game that had a loss of Wakefield (7–10)?
###assistant: SELECT attendance FROM table_name_22 WHERE loss = "wakefield (7–10)" |
###context:CREATE TABLE table_name_74 (loss VARCHAR, record VARCHAR)
###human: What was the loss of the Red Sox game when they had a record of 77–67?
###assistant: SELECT loss FROM table_name_74 WHERE record = "77–67" |
###context:CREATE TABLE table_name_36 (tournament VARCHAR, runner_up VARCHAR)
###human: Which Tournament has Pat Cash as a runner-up?
###assistant: SELECT tournament FROM table_name_36 WHERE runner_up = "pat cash" |
###context:CREATE TABLE table_name_32 (winner VARCHAR, third_place VARCHAR, tournament VARCHAR)
###human: Who is the winner for the Tournament in Hong Kong with a third place winner named Mikael Pernfors?
###assistant: SELECT winner FROM table_name_32 WHERE third_place = "mikael pernfors" AND tournament = "hong kong" |
###context:CREATE TABLE table_name_75 (nationality VARCHAR, event VARCHAR)
###human: What was the nationality of the athlete that ran the 10000 m event?
###assistant: SELECT nationality FROM table_name_75 WHERE event = "10000 m" |
###context:CREATE TABLE table_name_60 (points VARCHAR, goals_for VARCHAR, wins VARCHAR, club VARCHAR)
###human: What is the number of points of palamós cf, which has less than 21 wins and less than 40 goals?
###assistant: SELECT COUNT(points) FROM table_name_60 WHERE wins < 21 AND club = "palamós cf" AND goals_for < 40 |
###context:CREATE TABLE table_name_25 (club VARCHAR, goal_difference VARCHAR, goals_against VARCHAR, wins VARCHAR)
###human: Which club has more than 46 goals, 10 wins, and a goal difference of -24?
###assistant: SELECT club FROM table_name_25 WHERE goals_against > 46 AND wins = 10 AND goal_difference = -24 |
###context:CREATE TABLE table_name_11 (away_team VARCHAR)
###human: What is Richmond score as the away team?
###assistant: SELECT away_team AS score FROM table_name_11 WHERE away_team = "richmond" |
###context:CREATE TABLE table_name_97 (pole_position VARCHAR, round INTEGER)
###human: Tell me the pole position with round less than 2
###assistant: SELECT pole_position FROM table_name_97 WHERE round < 2 |
###context:CREATE TABLE table_name_18 (fastest_lap VARCHAR, round VARCHAR)
###human: I want the fastest lap for round of 16
###assistant: SELECT fastest_lap FROM table_name_18 WHERE round = 16 |
###context:CREATE TABLE table_name_72 (record VARCHAR, home VARCHAR)
###human: Which Record has a home of Nashville?
###assistant: SELECT record FROM table_name_72 WHERE home = "nashville" |
###context:CREATE TABLE table_name_67 (visitor VARCHAR, date VARCHAR)
###human: Which Visitor played on January 17?
###assistant: SELECT visitor FROM table_name_67 WHERE date = "january 17" |
###context:CREATE TABLE table_name_59 (record VARCHAR, game VARCHAR, visitor VARCHAR, decision VARCHAR)
###human: Which game later than number 32 had both Ellis for the decision and Nashville as the visiting team?
###assistant: SELECT record FROM table_name_59 WHERE visitor = "nashville" AND decision = "ellis" AND game > 32 |
###context:CREATE TABLE table_name_28 (visitor VARCHAR, game VARCHAR, attendance VARCHAR)
###human: Who was the visiting team in the game sometime after number 29 that had 18,584 atttendees?
###assistant: SELECT visitor FROM table_name_28 WHERE game > 29 AND attendance > 18 OFFSET 584 |
###context:CREATE TABLE table_name_7 (vca_155 VARCHAR, vcpc VARCHAR)
###human: If there is a VCPC of 75km/h (47mph) what is the VCA?
###assistant: SELECT vca_155 FROM table_name_7 WHERE vcpc = "75km/h (47mph)" |
###context:CREATE TABLE table_name_86 (vctp VARCHAR, vcrt VARCHAR)
###human: If there is a VCRT of 7.62mm (0.3in) fn mag 60-20 machine gun, what is the VCTP of that?
###assistant: SELECT vctp FROM table_name_86 WHERE vcrt = "7.62mm (0.3in) fn mag 60-20 machine gun" |
###context:CREATE TABLE table_name_21 (airing_date VARCHAR, genre VARCHAR, number_of_episodes VARCHAR)
###human: What is the airing date for a modern drama with more than 21 episodes?
###assistant: SELECT airing_date FROM table_name_21 WHERE genre = "modern drama" AND number_of_episodes > 21 |
###context:CREATE TABLE table_name_33 (constructor VARCHAR, race VARCHAR)
###human: What was the Constructor for the German Grand Prix Race?
###assistant: SELECT constructor FROM table_name_33 WHERE race = "german grand prix" |
###context:CREATE TABLE table_name_36 (constructor VARCHAR, fastest_lap VARCHAR)
###human: What was the Constructor for the race that had Derek Warwick as its Fastest Lap?
###assistant: SELECT constructor FROM table_name_36 WHERE fastest_lap = "derek warwick" |
###context:CREATE TABLE table_name_78 (race VARCHAR, fastest_lap VARCHAR, location VARCHAR)
###human: What Brands Hatch race had Niki Lauda as its Fastest Lap?
###assistant: SELECT race FROM table_name_78 WHERE fastest_lap = "niki lauda" AND location = "brands hatch" |
###context:CREATE TABLE table_name_32 (report VARCHAR, location VARCHAR)
###human: What was the Report for the Monaco race?
###assistant: SELECT report FROM table_name_32 WHERE location = "monaco" |
###context:CREATE TABLE table_name_75 (nation VARCHAR, total VARCHAR)
###human: What was the nation that had 59 totals?
###assistant: SELECT nation FROM table_name_75 WHERE total = 59 |
###context:CREATE TABLE table_name_92 (date VARCHAR, winning_driver VARCHAR, location VARCHAR)
###human: On what date did Ayrton Senna win at Imola?
###assistant: SELECT date FROM table_name_92 WHERE winning_driver = "ayrton senna" AND location = "imola" |
###context:CREATE TABLE table_name_4 (fastest_lap VARCHAR, winning_driver VARCHAR, date VARCHAR)
###human: Who had the fastest lap of the race that Ayrton Senna won on 23 April?
###assistant: SELECT fastest_lap FROM table_name_4 WHERE winning_driver = "ayrton senna" AND date = "23 april" |
###context:CREATE TABLE table_name_25 (grand_prix VARCHAR, location VARCHAR)
###human: Which Grand Prix is located in Jerez?
###assistant: SELECT grand_prix FROM table_name_25 WHERE location = "jerez" |
###context:CREATE TABLE table_name_82 (pole_position VARCHAR, location VARCHAR)
###human: Who had the pole position in Jerez?
###assistant: SELECT pole_position FROM table_name_82 WHERE location = "jerez" |
###context:CREATE TABLE table_name_84 (report VARCHAR, winning_driver VARCHAR, date VARCHAR)
###human: What is the report for the race that Ayrton Senna won on 27 August?
###assistant: SELECT report FROM table_name_84 WHERE winning_driver = "ayrton senna" AND date = "27 august" |
###context:CREATE TABLE table_name_26 (gold INTEGER, nation VARCHAR, silver VARCHAR)
###human: What is the sum of gold medals for the United States with silver medal count greater than 3?
###assistant: SELECT SUM(gold) FROM table_name_26 WHERE nation = "united states" AND silver > 3 |
###context:CREATE TABLE table_name_72 (total VARCHAR, gold VARCHAR, silver VARCHAR, nation VARCHAR)
###human: What is the total number of medals of Norway with a silver medal count greater than 6 and a gold medal count greater than 10?
###assistant: SELECT COUNT(total) FROM table_name_72 WHERE silver > 6 AND nation = "norway" AND gold > 10 |
###context:CREATE TABLE table_name_14 (bronze INTEGER, total VARCHAR, gold VARCHAR, nation VARCHAR)
###human: What is the lowest bronze medal count for Italy with fewer than 6 gold medals and greater than 10 total medals?
###assistant: SELECT MIN(bronze) FROM table_name_14 WHERE gold < 6 AND nation = "italy" AND total > 10 |
###context:CREATE TABLE table_name_38 (silver INTEGER, bronze VARCHAR, rank VARCHAR, total VARCHAR)
###human: On average, what is the number of silver medals for nations ranking higher than 7, with a total of 6 medals and fewer than 2 bronze medals?
###assistant: SELECT AVG(silver) FROM table_name_38 WHERE rank > 7 AND total = 6 AND bronze < 2 |
###context:CREATE TABLE table_name_4 (total INTEGER, silver VARCHAR, nation VARCHAR, bronze VARCHAR, rank VARCHAR)
###human: For the United States, with greater than 2 bronze metals, greater than 3 silver medals, and a rank higher than 3, what is the highest total number of medals?
###assistant: SELECT MAX(total) FROM table_name_4 WHERE bronze > 2 AND rank > 3 AND nation = "united states" AND silver > 3 |
###context:CREATE TABLE table_name_36 (player VARCHAR, years_for_jazz VARCHAR)
###human: Which player was active in Jazz in 1975-79?
###assistant: SELECT player FROM table_name_36 WHERE years_for_jazz = "1975-79" |
###context:CREATE TABLE table_name_47 (nationality VARCHAR, position VARCHAR, school_club_team VARCHAR)
###human: What is the nationality for the guard position from Bowling Green?
###assistant: SELECT nationality FROM table_name_47 WHERE position = "guard" AND school_club_team = "bowling green" |
###context:CREATE TABLE table_name_86 (player VARCHAR, school_club_team VARCHAR)
###human: Who is the player from Auburn?
###assistant: SELECT player FROM table_name_86 WHERE school_club_team = "auburn" |
###context:CREATE TABLE table_name_81 (player VARCHAR, position VARCHAR)
###human: Which player is a shooting guard?
###assistant: SELECT player FROM table_name_81 WHERE position = "shooting guard" |
###context:CREATE TABLE table_name_59 (position VARCHAR, years_for_jazz VARCHAR)
###human: Which position was active in Jazz in 2002-03?
###assistant: SELECT position FROM table_name_59 WHERE years_for_jazz = "2002-03" |
###context:CREATE TABLE table_name_39 (swimsuit VARCHAR, evening_gown VARCHAR, average VARCHAR)
###human: Name the total number of swimsuits when evening gown is 8.329 and average is less than 8.497
###assistant: SELECT COUNT(swimsuit) FROM table_name_39 WHERE evening_gown = 8.329 AND average < 8.497 |
###context:CREATE TABLE table_name_67 (swimsuit INTEGER, average VARCHAR, evening_gown VARCHAR)
###human: Name the sum of swimsuit when the evening gown is less than 6.983 and the average is less than 7.362
###assistant: SELECT SUM(swimsuit) FROM table_name_67 WHERE average < 7.362 AND evening_gown < 6.983 |
###context:CREATE TABLE table_name_7 (interview INTEGER, state VARCHAR, average VARCHAR)
###human: Name the most interview for minnesota and average more than 7.901
###assistant: SELECT MAX(interview) FROM table_name_7 WHERE state = "minnesota" AND average > 7.901 |
###context:CREATE TABLE table_name_70 (decile INTEGER, roll VARCHAR, area VARCHAR)
###human: Name the highest Decile for roll more than 325 and area of warkworth
###assistant: SELECT MAX(decile) FROM table_name_70 WHERE roll > 325 AND area = "warkworth" |
###context:CREATE TABLE table_name_22 (authority VARCHAR, roll VARCHAR)
###human: Name the authority for roll of 54
###assistant: SELECT authority FROM table_name_22 WHERE roll = 54 |
###context:CREATE TABLE table_name_69 (score1 VARCHAR, match VARCHAR)
###human: What was the score of Match 2?
###assistant: SELECT score1 FROM table_name_69 WHERE match = 2 |
###context:CREATE TABLE table_name_15 (date VARCHAR, home_team VARCHAR)
###human: When did Essendon play at home?
###assistant: SELECT date FROM table_name_15 WHERE home_team = "essendon" |
###context:CREATE TABLE table_name_12 (home_team VARCHAR, away_team VARCHAR)
###human: What was Collingwood's score when they played against North Melbourne at home?
###assistant: SELECT home_team AS score FROM table_name_12 WHERE away_team = "north melbourne" |
###context:CREATE TABLE table_name_77 (home_team VARCHAR, away_team VARCHAR)
###human: What was the home team score at Melbourne's away match?
###assistant: SELECT home_team AS score FROM table_name_77 WHERE away_team = "melbourne" |
###context:CREATE TABLE table_name_60 (crowd INTEGER, home_team VARCHAR)
###human: How many people were in attendance at Hawthorn's home match?
###assistant: SELECT MIN(crowd) FROM table_name_60 WHERE home_team = "hawthorn" |
###context:CREATE TABLE table_name_1 (capital VARCHAR, voivodeship_separate_city VARCHAR)
###human: what is the capital with the Voivodeship Separate city of białostockie?
###assistant: SELECT capital FROM table_name_1 WHERE voivodeship_separate_city = "białostockie" |
###context:CREATE TABLE table_name_14 (population_in_1000__1931_ VARCHAR, car_plates__since_1937_ VARCHAR)
###human: between car plates of 80-84 what is the population in 1000 in year 1931?
###assistant: SELECT population_in_1000__1931_ FROM table_name_14 WHERE car_plates__since_1937_ = "80-84" |
###context:CREATE TABLE table_name_62 (population_in_1000__1931_ VARCHAR, car_plates__since_1937_ VARCHAR)
###human: tell me the population in 1000(1931) that has car plates since 1937 of 35-39.
###assistant: SELECT population_in_1000__1931_ FROM table_name_62 WHERE car_plates__since_1937_ = "35-39" |
###context:CREATE TABLE table_name_7 (capital VARCHAR, area_in_1000km²__1930_ VARCHAR)
###human: tell me the name of the capital with an area of 20,4.
###assistant: SELECT capital FROM table_name_7 WHERE area_in_1000km²__1930_ = "20,4" |
###context:CREATE TABLE table_name_41 (date VARCHAR, opponent VARCHAR)
###human: When did they play against Wales?
###assistant: SELECT date FROM table_name_41 WHERE opponent = "wales" |
###context:CREATE TABLE table_name_14 (result VARCHAR, date VARCHAR)
###human: What was the result on 29/09/07?
###assistant: SELECT result FROM table_name_14 WHERE date = "29/09/07" |
###context:CREATE TABLE table_name_52 (competition VARCHAR, date VARCHAR)
###human: What was the competition on 25/08/07?
###assistant: SELECT competition FROM table_name_52 WHERE date = "25/08/07" |
###context:CREATE TABLE table_name_42 (pos INTEGER, time VARCHAR)
###human: What position is associated with a Time of 20:39.171?
###assistant: SELECT AVG(pos) FROM table_name_42 WHERE time = "20:39.171" |
###context:CREATE TABLE table_name_76 (points INTEGER, best_time VARCHAR)
###human: How many points associated with a Best time of 01:46.367?
###assistant: SELECT AVG(points) FROM table_name_76 WHERE best_time = "01:46.367" |
###context:CREATE TABLE table_name_44 (reg_gp VARCHAR, pick__number VARCHAR, rd__number VARCHAR, player VARCHAR)
###human: What is the total reg gp of Ilya Krikunov, who has a round of 7 and a pick number larger than 223?
###assistant: SELECT COUNT(reg_gp) FROM table_name_44 WHERE rd__number = 7 AND player = "ilya krikunov" AND pick__number > 223 |
###context:CREATE TABLE table_name_69 (pl_gp VARCHAR, pick__number VARCHAR, reg_gp VARCHAR)
###human: What is the total PI GP of the player with a pick number 49 and a reg gp less than 0?
###assistant: SELECT COUNT(pl_gp) FROM table_name_69 WHERE pick__number = 49 AND reg_gp < 0 |
###context:CREATE TABLE table_name_16 (pick__number INTEGER, pl_gp INTEGER)
###human: What is the pick # of the player with a PI GP less than 0?
###assistant: SELECT SUM(pick__number) FROM table_name_16 WHERE pl_gp < 0 |
###context:CREATE TABLE table_name_83 (reg_gp INTEGER, rd__number INTEGER)
###human: What is the reg gp of the player with a round number less than 2?
###assistant: SELECT SUM(reg_gp) FROM table_name_83 WHERE rd__number < 2 |
###context:CREATE TABLE table_name_19 (pl_gp INTEGER, rd__number VARCHAR, pick__number VARCHAR)
###human: What is the average PI GP of the player from round 5 with a pick # larger than 151?
###assistant: SELECT AVG(pl_gp) FROM table_name_19 WHERE rd__number = 5 AND pick__number > 151 |
###context:CREATE TABLE table_name_57 (constellation VARCHAR, declination___j2000__ VARCHAR)
###human: What constellation has a Declination ( J2000 ) of °32′39″?
###assistant: SELECT constellation FROM table_name_57 WHERE declination___j2000__ = "°32′39″" |
###context:CREATE TABLE table_name_15 (pick__number INTEGER, league_from VARCHAR)
###human: What is the lowest pick from Elitserien (Sweden)?
###assistant: SELECT MIN(pick__number) FROM table_name_15 WHERE league_from = "elitserien (sweden)" |
###context:CREATE TABLE table_name_8 (crowd INTEGER, away_team VARCHAR)
###human: How many spectators were at the game where Richmond was the away team?
###assistant: SELECT SUM(crowd) FROM table_name_8 WHERE away_team = "richmond" |
###context:CREATE TABLE table_name_59 (location VARCHAR, college_name VARCHAR)
###human: What is the location of the kanyakumari government medical college?
###assistant: SELECT location FROM table_name_59 WHERE college_name = "kanyakumari government medical college" |
###context:CREATE TABLE table_name_89 (affiliation VARCHAR, estd VARCHAR, location VARCHAR)
###human: Where is the coimbatore affilation that was established in 1982?
###assistant: SELECT affiliation FROM table_name_89 WHERE estd = "1982" AND location = "coimbatore" |
###context:CREATE TABLE table_name_16 (location VARCHAR, district VARCHAR)
###human: What is the location of the salem district?
###assistant: SELECT location FROM table_name_16 WHERE district = "salem district" |
###context:CREATE TABLE table_name_73 (location VARCHAR, district VARCHAR)
###human: What is the location of the tiruchirappalli district?
###assistant: SELECT location FROM table_name_73 WHERE district = "tiruchirappalli district" |
###context:CREATE TABLE table_name_93 (district VARCHAR, college_name VARCHAR)
###human: What is the district where the thanjavur medical college is located?
###assistant: SELECT district FROM table_name_93 WHERE college_name = "thanjavur medical college" |
###context:CREATE TABLE table_name_42 (location VARCHAR, college_name VARCHAR)
###human: Where is the location of the coimbatore medical college?
###assistant: SELECT location FROM table_name_42 WHERE college_name = "coimbatore medical college" |
###context:CREATE TABLE table_name_25 (time_retired VARCHAR, grid VARCHAR, driver VARCHAR)
###human: What is the Time/Retired when the grid is larger than 9 and Rolf Stommelen is the driver?
###assistant: SELECT time_retired FROM table_name_25 WHERE grid > 9 AND driver = "rolf stommelen" |
###context:CREATE TABLE table_name_76 (laps INTEGER, time_retired VARCHAR)
###human: What is the highest number of laps when the Time/Retired is differential?
###assistant: SELECT MAX(laps) FROM table_name_76 WHERE time_retired = "differential" |
###context:CREATE TABLE table_name_82 (driver VARCHAR, time_retired VARCHAR, laps VARCHAR, grid VARCHAR)
###human: Who is the driver when the laps are smaller than 14, the grid is smaller than 16, and the Time/retired is not classified?
###assistant: SELECT driver FROM table_name_82 WHERE laps < 14 AND grid < 16 AND time_retired = "not classified" |
###context:CREATE TABLE table_name_69 (grid INTEGER, laps VARCHAR, driver VARCHAR)
###human: What is the average grid when the laps are smaller than 14 and Reine Wisell is the driver?
###assistant: SELECT AVG(grid) FROM table_name_69 WHERE laps < 14 AND driver = "reine wisell" |
###context:CREATE TABLE table_name_72 (entrant VARCHAR, engine VARCHAR, driver VARCHAR)
###human: Who is the entrant with a driver Damon Hill and a Renault RS8 3.0 V10 engine?
###assistant: SELECT entrant FROM table_name_72 WHERE engine = "renault rs8 3.0 v10" AND driver = "damon hill" |
###context:CREATE TABLE table_name_2 (constructor VARCHAR, rounds VARCHAR, engine VARCHAR)
###human: Who is the constructor of the car with a Peugeot A12 EV5 3.0 V10 engine that competed in all rounds?
###assistant: SELECT constructor FROM table_name_2 WHERE rounds = "all" AND engine = "peugeot a12 ev5 3.0 v10" |
###context:CREATE TABLE table_name_28 (engine VARCHAR, rounds VARCHAR, entrant VARCHAR)
###human: What kind of engine is in the car for Scuderia Ferrari that went all rounds?
###assistant: SELECT engine FROM table_name_28 WHERE rounds = "all" AND entrant = "scuderia ferrari" |
###context:CREATE TABLE table_name_50 (constructor VARCHAR, chassis VARCHAR)
###human: Who is the constructor of the 196 chassis?
###assistant: SELECT constructor FROM table_name_50 WHERE chassis = "196" |
###context:CREATE TABLE table_name_81 (home VARCHAR, visitor VARCHAR)
###human: Name the home with visitor of kings
###assistant: SELECT home FROM table_name_81 WHERE visitor = "kings" |
###context:CREATE TABLE table_name_84 (attendance VARCHAR, visitor VARCHAR)
###human: Name the total number of attendance when the cavaliers visited
###assistant: SELECT COUNT(attendance) FROM table_name_84 WHERE visitor = "cavaliers" |
###context:CREATE TABLE table_name_93 (mixed_doubles VARCHAR, year VARCHAR)
###human: Which mixed doubles was featured in 2006?
###assistant: SELECT mixed_doubles FROM table_name_93 WHERE year = 2006 |
###context:CREATE TABLE table_name_62 (crowd INTEGER, venue VARCHAR)
###human: In the games at corio oval, what was the highest crowd?
###assistant: SELECT MAX(crowd) FROM table_name_62 WHERE venue = "corio oval" |
###context:CREATE TABLE table_name_29 (away_team VARCHAR, venue VARCHAR)
###human: In the match as corio oval, who was the away team?
###assistant: SELECT away_team FROM table_name_29 WHERE venue = "corio oval" |
###context:CREATE TABLE table_name_83 (communes INTEGER, cantons VARCHAR, area__square_km_ VARCHAR)
###human: How many communes associated with over 10 cantons and an area (Square km) of 1,589?
###assistant: SELECT AVG(communes) FROM table_name_83 WHERE cantons > 10 AND area__square_km_ = 1 OFFSET 589 |
###context:CREATE TABLE table_name_83 (decision VARCHAR, date VARCHAR)
###human: Which team won the game on January 12?
###assistant: SELECT decision FROM table_name_83 WHERE date = "january 12" |
###context:CREATE TABLE table_name_70 (home_team VARCHAR, away_team VARCHAR)
###human: Who was the home team against Geelong?
###assistant: SELECT home_team AS score FROM table_name_70 WHERE away_team = "geelong" |
###context:CREATE TABLE table_name_70 (crowd VARCHAR, venue VARCHAR)
###human: What was the attendance when the VFL played MCG?
###assistant: SELECT COUNT(crowd) FROM table_name_70 WHERE venue = "mcg" |
###context:CREATE TABLE table_name_15 (security_forces VARCHAR, civilians VARCHAR)
###human: Name the security forces with civilians of 67
###assistant: SELECT security_forces FROM table_name_15 WHERE civilians = "67" |
###context:CREATE TABLE table_name_75 (insurgents VARCHAR, civilians VARCHAR)
###human: Name the insurgents for civilians being 49
###assistant: SELECT insurgents FROM table_name_75 WHERE civilians = "49" |
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