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###context:CREATE TABLE table_name_5 (draws INTEGER, goal_difference VARCHAR, played VARCHAR)
###human: Can you tell me the highest Draws that has the Goal Difference smaller than 64, and the Played larger than 30?
###assistant: SELECT MAX(draws) FROM table_name_5 WHERE goal_difference < 64 AND played > 30 |
###context:CREATE TABLE table_name_67 (points INTEGER, played INTEGER)
###human: Can you tell me the highest Points that has the Played smaller than 30?
###assistant: SELECT MAX(points) FROM table_name_67 WHERE played < 30 |
###context:CREATE TABLE table_name_57 (rank INTEGER, bronze VARCHAR, silver VARCHAR)
###human: What rank was the country with no bronze but at least 1 silver medals?
###assistant: SELECT AVG(rank) FROM table_name_57 WHERE bronze < 1 AND silver > 1 |
###context:CREATE TABLE table_name_48 (gold INTEGER, rank VARCHAR, bronze VARCHAR, total VARCHAR)
###human: What is the smallest number of gold medals a country with 1 bronze, and a total of 3 medals which is lower than rank 7?
###assistant: SELECT MIN(gold) FROM table_name_48 WHERE bronze = 1 AND total = 3 AND rank > 7 |
###context:CREATE TABLE table_name_23 (gold INTEGER, total VARCHAR)
###human: What is the smallest number of gold medals a country with 7 medals has?
###assistant: SELECT MIN(gold) FROM table_name_23 WHERE total = 7 |
###context:CREATE TABLE table_name_35 (host_city VARCHAR, games VARCHAR)
###human: Can you tell me the Host City that has the Games of vii?
###assistant: SELECT host_city FROM table_name_35 WHERE games = "vii" |
###context:CREATE TABLE table_name_68 (nominated_work VARCHAR, category VARCHAR, year VARCHAR, award VARCHAR)
###human: What was the nominated work after 2006, that was awarded the Drama Desk award and the Outstanding featured actor in a musical?
###assistant: SELECT nominated_work FROM table_name_68 WHERE year > 2006 AND award = "drama desk award" AND category = "outstanding featured actor in a musical" |
###context:CREATE TABLE table_name_25 (year VARCHAR, category VARCHAR, nominated_work VARCHAR)
###human: What year was Evita nominated for outstanding featured actor in a musical?
###assistant: SELECT COUNT(year) FROM table_name_25 WHERE category = "outstanding featured actor in a musical" AND nominated_work = "evita" |
###context:CREATE TABLE table_name_29 (nominated_work VARCHAR, year VARCHAR, result VARCHAR, award VARCHAR)
###human: What was the nominated work, nominated for the drama league award before 2007?
###assistant: SELECT nominated_work FROM table_name_29 WHERE result = "nominated" AND award = "drama league award" AND year < 2007 |
###context:CREATE TABLE table_name_2 (pole_position VARCHAR, date VARCHAR)
###human: Who had the pole position on 7 August?
###assistant: SELECT pole_position FROM table_name_2 WHERE date = "7 august" |
###context:CREATE TABLE table_name_6 (winning_team VARCHAR, circuit VARCHAR)
###human: Who was the winning team at Zandvoort?
###assistant: SELECT winning_team FROM table_name_6 WHERE circuit = "zandvoort" |
###context:CREATE TABLE table_name_39 (losses INTEGER, wins VARCHAR, south_west_dfl VARCHAR)
###human: Which Losses have Wins smaller than 6, and a South West DFL of sandford?
###assistant: SELECT MIN(losses) FROM table_name_39 WHERE wins < 6 AND south_west_dfl = "sandford" |
###context:CREATE TABLE table_name_17 (against INTEGER, draws VARCHAR, losses VARCHAR)
###human: How much Against has Draws of 2, and Losses smaller than 4?
###assistant: SELECT SUM(against) FROM table_name_17 WHERE draws = 2 AND losses < 4 |
###context:CREATE TABLE table_name_51 (losses VARCHAR, south_west_dfl VARCHAR, against VARCHAR)
###human: How many Losses have South West DFL of coleraine, and an Against smaller than 891?
###assistant: SELECT COUNT(losses) FROM table_name_51 WHERE south_west_dfl = "coleraine" AND against < 891 |
###context:CREATE TABLE table_name_48 (played INTEGER, goals_for VARCHAR, wins VARCHAR)
###human: What is the lowest played number when goals for is 47, and wins is smaller than 14?
###assistant: SELECT MIN(played) FROM table_name_48 WHERE goals_for = 47 AND wins < 14 |
###context:CREATE TABLE table_name_26 (club VARCHAR, position VARCHAR, wins VARCHAR, goals_against VARCHAR)
###human: What Club has 13 wins, goals against less than 48, and a position of 4?
###assistant: SELECT club FROM table_name_26 WHERE wins = 13 AND goals_against < 48 AND position = 4 |
###context:CREATE TABLE table_name_92 (position INTEGER, goals_against VARCHAR, goals_for VARCHAR)
###human: What is the lowest position number when goals against was 59, and a goals for is smaller than 24?
###assistant: SELECT MIN(position) FROM table_name_92 WHERE goals_against = 59 AND goals_for < 24 |
###context:CREATE TABLE table_name_12 (goals_against INTEGER, draws VARCHAR, wins VARCHAR, points VARCHAR, goal_difference VARCHAR)
###human: What is the highest goals against when points are larger than 31, the goal difference is smaller than 9, wins are 13, and draws are larger than 6?
###assistant: SELECT MAX(goals_against) FROM table_name_12 WHERE points > 31 AND goal_difference < 9 AND wins = 13 AND draws > 6 |
###context:CREATE TABLE table_name_52 (played INTEGER, points VARCHAR, wins VARCHAR)
###human: What is the lowest played number when points are larger than 32, and a wins are larger than 18?
###assistant: SELECT MIN(played) FROM table_name_52 WHERE points > 32 AND wins > 18 |
###context:CREATE TABLE table_name_35 (against INTEGER, status VARCHAR, date VARCHAR)
###human: Can you tell me the highest Against that has the Status of six nations, and the Date of 02/03/2002?
###assistant: SELECT MAX(against) FROM table_name_35 WHERE status = "six nations" AND date = "02/03/2002" |
###context:CREATE TABLE table_name_44 (against INTEGER, date VARCHAR)
###human: Can you tell me the average Against thaylt has the Date of 23/03/2002?
###assistant: SELECT AVG(against) FROM table_name_44 WHERE date = "23/03/2002" |
###context:CREATE TABLE table_name_15 (population VARCHAR, area VARCHAR)
###human: What is the population of area of 11?
###assistant: SELECT population FROM table_name_15 WHERE area = "11" |
###context:CREATE TABLE table_name_14 (traditional VARCHAR, population VARCHAR)
###human: What shows for traditional when the population was 44,803?
###assistant: SELECT traditional FROM table_name_14 WHERE population = "44,803" |
###context:CREATE TABLE table_name_8 (population VARCHAR, area VARCHAR)
###human: What is the population when the area is 4,575?
###assistant: SELECT population FROM table_name_8 WHERE area = "4,575" |
###context:CREATE TABLE table_name_13 (simplified VARCHAR, density VARCHAR)
###human: What shows for simplified when the density is 52?
###assistant: SELECT simplified FROM table_name_13 WHERE density = "52" |
###context:CREATE TABLE table_name_33 (density VARCHAR, simplified VARCHAR)
###human: What is the density when simplified shows 南山区?
###assistant: SELECT density FROM table_name_33 WHERE simplified = "南山区" |
###context:CREATE TABLE table_name_22 (pinyin VARCHAR, simplified VARCHAR)
###human: What is the pinyin when the simplified shows 南山区?
###assistant: SELECT pinyin FROM table_name_22 WHERE simplified = "南山区" |
###context:CREATE TABLE table_name_26 (country VARCHAR, player VARCHAR)
###human: What country does Greg Norman represent?
###assistant: SELECT country FROM table_name_26 WHERE player = "greg norman" |
###context:CREATE TABLE table_name_11 (year_s__won VARCHAR, total VARCHAR)
###human: What years won have a total of 286?
###assistant: SELECT year_s__won FROM table_name_11 WHERE total = 286 |
###context:CREATE TABLE table_name_22 (player VARCHAR, total VARCHAR)
###human: Which player had a total of 295?
###assistant: SELECT player FROM table_name_22 WHERE total = 295 |
###context:CREATE TABLE table_name_10 (to_par VARCHAR, total VARCHAR)
###human: What is the To par when there was a total of 291?
###assistant: SELECT to_par FROM table_name_10 WHERE total = 291 |
###context:CREATE TABLE table_name_7 (years_of_daylight_service VARCHAR, builder VARCHAR)
###human: What is the year of daylight service when the builder was Alco?
###assistant: SELECT years_of_daylight_service FROM table_name_7 WHERE builder = "alco" |
###context:CREATE TABLE table_name_64 (team VARCHAR)
###human: What is 2006-07 Season, when Team is "KF Fushë Kosova"?
###assistant: SELECT 2006 AS _07_season FROM table_name_64 WHERE team = "kf fushë kosova" |
###context:CREATE TABLE table_name_40 (year_s__won VARCHAR, total VARCHAR, country VARCHAR)
###human: What is Year(s) Won, when Total is "145", and when Country is "United States"?
###assistant: SELECT year_s__won FROM table_name_40 WHERE total = 145 AND country = "united states" |
###context:CREATE TABLE table_name_97 (to_par INTEGER, total VARCHAR, year_s__won VARCHAR)
###human: What is the lowest To par, when Total is greater than 148, and when Year(s) Won is "1959 , 1968 , 1974"?
###assistant: SELECT MIN(to_par) FROM table_name_97 WHERE total < 148 AND year_s__won = "1959 , 1968 , 1974" |
###context:CREATE TABLE table_name_20 (country VARCHAR, to_par VARCHAR, player VARCHAR)
###human: What is Country, when To par is "1", and when Player is "Seve Ballesteros"?
###assistant: SELECT country FROM table_name_20 WHERE to_par = 1 AND player = "seve ballesteros" |
###context:CREATE TABLE table_name_81 (total INTEGER, year_s__won VARCHAR, to_par VARCHAR)
###human: What is the sum of Total, when Year(s) Won is "1966 , 1970 , 1978", and when To par is less than 4?
###assistant: SELECT SUM(total) FROM table_name_81 WHERE year_s__won = "1966 , 1970 , 1978" AND to_par < 4 |
###context:CREATE TABLE table_name_19 (country VARCHAR, total VARCHAR, player VARCHAR)
###human: What is Country, when Total is less than 148, and when Player is "Gary Player"?
###assistant: SELECT country FROM table_name_19 WHERE total < 148 AND player = "gary player" |
###context:CREATE TABLE table_name_7 (to_par VARCHAR, total VARCHAR, country VARCHAR)
###human: What is To par, when Total is less than 148, and when Country is "South Africa"?
###assistant: SELECT to_par FROM table_name_7 WHERE total < 148 AND country = "south africa" |
###context:CREATE TABLE table_name_58 (age_at_appointment INTEGER, portfolio_attachment VARCHAR)
###human: What is the average age at appointment of those attached to security?
###assistant: SELECT AVG(age_at_appointment) FROM table_name_58 WHERE portfolio_attachment = "security" |
###context:CREATE TABLE table_name_59 (distance VARCHAR, date VARCHAR)
###human: What was the distance of the race on saturday, august 23?
###assistant: SELECT distance FROM table_name_59 WHERE date = "saturday, august 23" |
###context:CREATE TABLE table_name_70 (winner VARCHAR, distance VARCHAR)
###human: Who was the winner of the race that had a distance of 175.6km?
###assistant: SELECT winner FROM table_name_70 WHERE distance = "175.6km" |
###context:CREATE TABLE table_name_18 (winner VARCHAR, date VARCHAR)
###human: Who won the race on wednesday, august 27?
###assistant: SELECT winner FROM table_name_18 WHERE date = "wednesday, august 27" |
###context:CREATE TABLE table_name_71 (distance VARCHAR, route VARCHAR)
###human: What is the distance of the maldegem > brussels route?
###assistant: SELECT distance FROM table_name_71 WHERE route = "maldegem > brussels" |
###context:CREATE TABLE table_name_63 (winner VARCHAR, route VARCHAR)
###human: Who was the winner of the mechelen > mechelen route?
###assistant: SELECT winner FROM table_name_63 WHERE route = "mechelen > mechelen" |
###context:CREATE TABLE table_name_93 (imap_shared VARCHAR, web_ui VARCHAR)
###human: What IMAP sharing options exist for software with a web UI?
###assistant: SELECT imap_shared FROM table_name_93 WHERE web_ui = "web ui" |
###context:CREATE TABLE table_name_3 (total VARCHAR, event VARCHAR, rank_points VARCHAR)
###human: What's the total for the wc belgrade event with 10 rank points?
###assistant: SELECT total FROM table_name_3 WHERE event = "wc belgrade" AND rank_points = "10" |
###context:CREATE TABLE table_name_72 (total VARCHAR, rank_points VARCHAR)
###human: That's the total for rank points of olympic gold medalist?
###assistant: SELECT total FROM table_name_72 WHERE rank_points = "olympic gold medalist" |
###context:CREATE TABLE table_name_51 (shooter VARCHAR, score_points VARCHAR)
###human: Who's the shooter with score points of defending champion?
###assistant: SELECT shooter FROM table_name_51 WHERE score_points = "defending champion" |
###context:CREATE TABLE table_name_57 (shooter VARCHAR, total VARCHAR)
###human: Who's the shooter with a total of 25?
###assistant: SELECT shooter FROM table_name_57 WHERE total = "25" |
###context:CREATE TABLE table_name_32 (shooter VARCHAR, score_points VARCHAR, rank_points VARCHAR)
###human: Who's the shooter with 13 score points and 10 rank points?
###assistant: SELECT shooter FROM table_name_32 WHERE score_points = "13" AND rank_points = "10" |
###context:CREATE TABLE table_name_95 (points INTEGER, top_goal_scorer VARCHAR, final_standing VARCHAR)
###human: What is the highest points when the top goal scorer was Khaled Msakni (10), and the final standing is less than 12?
###assistant: SELECT MAX(points) FROM table_name_95 WHERE top_goal_scorer = "khaled msakni (10)" AND final_standing < 12 |
###context:CREATE TABLE table_name_58 (final_standing VARCHAR, years VARCHAR)
###human: What is the final standing in 1981–82?
###assistant: SELECT final_standing FROM table_name_58 WHERE years = "1981–82" |
###context:CREATE TABLE table_name_76 (event VARCHAR, position VARCHAR, year VARCHAR)
###human: Which event had 4th place and took place in the year 2007?
###assistant: SELECT event FROM table_name_76 WHERE position = "4th" AND year = 2007 |
###context:CREATE TABLE table_name_14 (runner_up VARCHAR, score VARCHAR, winner VARCHAR)
###human: What runner-up has 4 & 3 as the score, with michael bonallack as the winner?
###assistant: SELECT runner_up FROM table_name_14 WHERE score = "4 & 3" AND winner = "michael bonallack" |
###context:CREATE TABLE table_name_83 (venue VARCHAR, score VARCHAR, year VARCHAR)
###human: What venue has 3 & 2 as the score, and 1965 as the year?
###assistant: SELECT venue FROM table_name_83 WHERE score = "3 & 2" AND year = "1965" |
###context:CREATE TABLE table_name_95 (runner_up VARCHAR, year VARCHAR)
###human: What runner-up has 2008 as the year?
###assistant: SELECT runner_up FROM table_name_95 WHERE year = "2008" |
###context:CREATE TABLE table_name_70 (winner VARCHAR, venue VARCHAR, year VARCHAR)
###human: What winner has royal st george's golf club as the venue, and 1969 as the year?
###assistant: SELECT winner FROM table_name_70 WHERE venue = "royal st george's golf club" AND year = "1969" |
###context:CREATE TABLE table_name_6 (runner_up VARCHAR, year VARCHAR)
###human: What runner-up has 1925 as the year?
###assistant: SELECT runner_up FROM table_name_6 WHERE year = "1925" |
###context:CREATE TABLE table_name_3 (year VARCHAR, runner_up VARCHAR, winner VARCHAR)
###human: What year has John Davies as the runner-up, with warren humphreys as the winner?
###assistant: SELECT year FROM table_name_3 WHERE runner_up = "john davies" AND winner = "warren humphreys" |
###context:CREATE TABLE table_name_71 (nationality VARCHAR, goals VARCHAR)
###human: What country is the player who scored 27 goals from?
###assistant: SELECT nationality FROM table_name_71 WHERE goals = 27 |
###context:CREATE TABLE table_name_62 (years VARCHAR, goals VARCHAR)
###human: For the player that scored 27 goals, what years did he score them?
###assistant: SELECT years FROM table_name_62 WHERE goals = 27 |
###context:CREATE TABLE table_name_33 (finish VARCHAR, total INTEGER)
###human: In what place(s) did the player(s) with a total less than 282 finish?
###assistant: SELECT finish FROM table_name_33 WHERE total < 282 |
###context:CREATE TABLE table_name_94 (finish VARCHAR, player VARCHAR, total VARCHAR, to_par VARCHAR)
###human: In what place did Nick Faldo, who had more than 284 points and a to par score of +5, finish?
###assistant: SELECT finish FROM table_name_94 WHERE total > 284 AND to_par = "+5" AND player = "nick faldo" |
###context:CREATE TABLE table_name_44 (mandate_end VARCHAR, office VARCHAR, name_a VARCHAR)
###human: When did Prime Minister Agathe Uwilingiyimana's mandate end?
###assistant: SELECT mandate_end FROM table_name_44 WHERE office = "prime minister" AND name_a = "agathe uwilingiyimana" |
###context:CREATE TABLE table_name_29 (power_output__kw_ VARCHAR, number_in_class VARCHAR)
###human: What is the power output for class 5?
###assistant: SELECT power_output__kw_ FROM table_name_29 WHERE number_in_class = 5 |
###context:CREATE TABLE table_name_75 (class VARCHAR, power_output__kw_ VARCHAR, number_in_class VARCHAR)
###human: Which class has a power output larger than 700 and a class of 48?
###assistant: SELECT class FROM table_name_75 WHERE power_output__kw_ > 700 AND number_in_class = 48 |
###context:CREATE TABLE table_name_44 (week_8_oct_26 VARCHAR, week_7_oct_19 VARCHAR)
###human: What is the Week 8 result of the team that lost to syarcuse (4-2) in Week 7?
###assistant: SELECT week_8_oct_26 FROM table_name_44 WHERE week_7_oct_19 = "syarcuse (4-2)" |
###context:CREATE TABLE table_name_15 (week_1_sept_7 VARCHAR, preseason VARCHAR)
###human: What is the Week 1 result of Colorado State?
###assistant: SELECT week_1_sept_7 FROM table_name_15 WHERE preseason = "colorado state" |
###context:CREATE TABLE table_name_95 (incumbent VARCHAR, district VARCHAR)
###human: Who is the incumbent for the Colorado 4 district?
###assistant: SELECT incumbent FROM table_name_95 WHERE district = "colorado 4" |
###context:CREATE TABLE table_name_41 (district VARCHAR, party VARCHAR, results VARCHAR)
###human: What district is the incumbent Republican and the incumbent retired to run for governor democratic gain?
###assistant: SELECT district FROM table_name_41 WHERE party = "republican" AND results = "retired to run for governor democratic gain" |
###context:CREATE TABLE table_name_66 (party VARCHAR, district VARCHAR)
###human: In Colorado 6 district what is the party?
###assistant: SELECT party FROM table_name_66 WHERE district = "colorado 6" |
###context:CREATE TABLE table_name_76 (tournament VARCHAR, surface VARCHAR, score_in_the_final VARCHAR)
###human: Which tournament had a clay surface and a score of 6–1, 3–6, 6–2?
###assistant: SELECT tournament FROM table_name_76 WHERE surface = "clay" AND score_in_the_final = "6–1, 3–6, 6–2" |
###context:CREATE TABLE table_name_39 (date VARCHAR, score_in_the_final VARCHAR)
###human: How many days had a score of 4–6, 4–6?
###assistant: SELECT COUNT(date) FROM table_name_39 WHERE score_in_the_final = "4–6, 4–6" |
###context:CREATE TABLE table_name_85 (to_par VARCHAR, year_won VARCHAR)
###human: What was the To Par of Tiger Woods who won in 1988?
###assistant: SELECT to_par FROM table_name_85 WHERE year_won = 1988 |
###context:CREATE TABLE table_name_59 (team_sites VARCHAR, name VARCHAR)
###human: What is the team sites entry for Microsoft Sharepoint?
###assistant: SELECT team_sites FROM table_name_59 WHERE name = "microsoft sharepoint" |
###context:CREATE TABLE table_name_72 (extranet VARCHAR, intranet VARCHAR, name VARCHAR)
###human: If the intranet entry is Yes, what is the extranet entry for Microsoft Exchange server?
###assistant: SELECT extranet FROM table_name_72 WHERE intranet = "yes" AND name = "microsoft exchange server" |
###context:CREATE TABLE table_name_53 (team_sites VARCHAR, public VARCHAR, developer VARCHAR)
###human: What is the team sites entry that has a public entry of No and a developer entry of Yes?
###assistant: SELECT team_sites FROM table_name_53 WHERE public = "no" AND developer = "yes" |
###context:CREATE TABLE table_name_34 (name VARCHAR, team_sites VARCHAR, public VARCHAR, personal_sites VARCHAR)
###human: What is the name for the entry that has a public of Yes, a personal sites of No, and a team sites of No?
###assistant: SELECT name FROM table_name_34 WHERE public = "yes" AND personal_sites = "no" AND team_sites = "no" |
###context:CREATE TABLE table_name_61 (name VARCHAR, developer VARCHAR, personal_sites VARCHAR)
###human: What is the name of the entry that has a developer entry of Yes and a personal sites entry of No?
###assistant: SELECT name FROM table_name_61 WHERE developer = "yes" AND personal_sites = "no" |
###context:CREATE TABLE table_name_90 (line_name VARCHAR, nimt_junction VARCHAR)
###human: What Line has Ohakune Junction as its NIMT?
###assistant: SELECT line_name FROM table_name_90 WHERE nimt_junction = "ohakune junction" |
###context:CREATE TABLE table_name_4 (line_name VARCHAR, terminus VARCHAR)
###human: What line has Newmarket Junction terminus?
###assistant: SELECT line_name FROM table_name_4 WHERE terminus = "newmarket junction" |
###context:CREATE TABLE table_name_37 (terminus VARCHAR, length VARCHAR)
###human: What terminus is 3.5km in lenght?
###assistant: SELECT terminus FROM table_name_37 WHERE length = "3.5km" |
###context:CREATE TABLE table_name_7 (line_name VARCHAR, nimt_junction VARCHAR)
###human: What line has Junction of Huntly NIMT
###assistant: SELECT line_name FROM table_name_7 WHERE nimt_junction = "huntly" |
###context:CREATE TABLE table_name_42 (final INTEGER, all_around VARCHAR, total VARCHAR)
###human: What is the average final with an all around greater than 19.35 and a total over 40?
###assistant: SELECT AVG(final) FROM table_name_42 WHERE all_around > 19.35 AND total > 40 |
###context:CREATE TABLE table_name_26 (final INTEGER, all_around VARCHAR, place VARCHAR, nation VARCHAR)
###human: What is the sum of the final for finland, who placed greater than 2 and had an all around larger than 18.9?
###assistant: SELECT SUM(final) FROM table_name_26 WHERE place > 2 AND nation = "finland" AND all_around > 18.9 |
###context:CREATE TABLE table_name_66 (place VARCHAR, money___£__ VARCHAR, score VARCHAR)
###human: What is the place of the player with £140,000 and a 68-68-75-68=279 score?
###assistant: SELECT place FROM table_name_66 WHERE money___£__ = "140,000" AND score = 68 - 68 - 75 - 68 = 279 |
###context:CREATE TABLE table_name_61 (country VARCHAR, place VARCHAR, player VARCHAR)
###human: What is the country of player stuart appleby, who has a t1 place?
###assistant: SELECT country FROM table_name_61 WHERE place = "t1" AND player = "stuart appleby" |
###context:CREATE TABLE table_name_45 (place VARCHAR, money___£__ VARCHAR, player VARCHAR)
###human: What is the place of player sergio garcía, who has £77,500?
###assistant: SELECT place FROM table_name_45 WHERE money___£__ = "77,500" AND player = "sergio garcía" |
###context:CREATE TABLE table_name_92 (to_par VARCHAR, score VARCHAR)
###human: What is the to par of the player with a 73-70-70-65=278 score?
###assistant: SELECT to_par FROM table_name_92 WHERE score = 73 - 70 - 70 - 65 = 278 |
###context:CREATE TABLE table_name_97 (player VARCHAR, money___£__ VARCHAR)
###human: Who is the player with £140,000?
###assistant: SELECT player FROM table_name_97 WHERE money___£__ = "140,000" |
###context:CREATE TABLE table_name_90 (date VARCHAR, time VARCHAR)
###human: What is Date, when Time is "56.49"?
###assistant: SELECT date FROM table_name_90 WHERE time = "56.49" |
###context:CREATE TABLE table_name_6 (event VARCHAR, date VARCHAR)
###human: What is Event, when Date is "19 December 2009"?
###assistant: SELECT event FROM table_name_6 WHERE date = "19 december 2009" |
###context:CREATE TABLE table_name_62 (time VARCHAR, meet VARCHAR, date VARCHAR)
###human: What is Time, when Meet is "Duel in the Pool", and when Date is "19 December 2009"?
###assistant: SELECT time FROM table_name_62 WHERE meet = "duel in the pool" AND date = "19 december 2009" |
###context:CREATE TABLE table_name_72 (location VARCHAR, event VARCHAR)
###human: What is the Location, when Event is "100m Butterfly"?
###assistant: SELECT location FROM table_name_72 WHERE event = "100m butterfly" |
###context:CREATE TABLE table_name_86 (date VARCHAR, time VARCHAR, meet VARCHAR, nationality VARCHAR)
###human: What is Date, when Meet is "World Championships", when Nationality is "United States", and when Time is "1:46.68"?
###assistant: SELECT date FROM table_name_86 WHERE meet = "world championships" AND nationality = "united states" AND time = "1:46.68" |
###context:CREATE TABLE table_name_41 (event VARCHAR, meet VARCHAR, time VARCHAR)
###human: What is Event, when Meet is "World Championships", and when Time is "20.51"?
###assistant: SELECT event FROM table_name_41 WHERE meet = "world championships" AND time = "20.51" |
###context:CREATE TABLE table_name_30 (number_of_households INTEGER, median_household_income VARCHAR, population VARCHAR)
###human: What is the highest number of households with a median household income of $31,176, and a population of 25,607?
###assistant: SELECT MAX(number_of_households) FROM table_name_30 WHERE median_household_income = "$31,176" AND population < 25 OFFSET 607 |
###context:CREATE TABLE table_name_68 (median_household_income VARCHAR, county VARCHAR)
###human: What is the median household income for Cape Girardeau?
###assistant: SELECT median_household_income FROM table_name_68 WHERE county = "cape girardeau" |
###context:CREATE TABLE table_name_89 (colourist_s VARCHAR, letterer_s VARCHAR, story_title VARCHAR)
###human: Who is the Colourist that has a Story Title of Broken Glass (part 3) and a Letterer of Albers?
###assistant: SELECT colourist_s FROM table_name_89 WHERE letterer_s = "albers" AND story_title = "broken glass (part 3)" |
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