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###context:CREATE TABLE table_name_97 (new_entries_this_round VARCHAR, number_of_fixtures VARCHAR, round VARCHAR)
###human: What were the new entries for the Semi-Finals round with fewer than 8 fixtures?
###assistant: SELECT new_entries_this_round FROM table_name_97 WHERE number_of_fixtures < 8 AND round = "semi-finals" |
###context:CREATE TABLE table_name_59 (club VARCHAR, home_ground VARCHAR)
###human: What was the club when home ground was Central Reserve?
###assistant: SELECT club FROM table_name_59 WHERE home_ground = "central reserve" |
###context:CREATE TABLE table_name_4 (gfl_premierships VARCHAR, home_ground VARCHAR)
###human: What's the GFL Premiership when the home ground was Leopold Memorial Park?
###assistant: SELECT gfl_premierships FROM table_name_4 WHERE home_ground = "leopold memorial park" |
###context:CREATE TABLE table_name_39 (location VARCHAR, years_in_gfl VARCHAR)
###human: What's the location where the Years in GFL was 1988-?
###assistant: SELECT location FROM table_name_39 WHERE years_in_gfl = "1988-" |
###context:CREATE TABLE table_name_15 (home_ground VARCHAR, nickname VARCHAR)
###human: What's the home ground of the Lions?
###assistant: SELECT home_ground FROM table_name_15 WHERE nickname = "lions" |
###context:CREATE TABLE table_name_37 (location VARCHAR, years_in_gfl VARCHAR, nickname VARCHAR)
###human: What is the location of the Saints having 1979- as Years in GFL?
###assistant: SELECT location FROM table_name_37 WHERE years_in_gfl = "1979-" AND nickname = "saints" |
###context:CREATE TABLE table_name_34 (type VARCHAR, moving_from VARCHAR, ends VARCHAR, transfer_window VARCHAR)
###human: What is the type of the player who ended in 2013, had a summer transfer window, and moved from kalmar ff?
###assistant: SELECT type FROM table_name_34 WHERE ends = 2013 AND transfer_window = "summer" AND moving_from = "kalmar ff" |
###context:CREATE TABLE table_name_38 (moving_from VARCHAR, ends VARCHAR, type VARCHAR, transfer_window VARCHAR)
###human: Where did the player with a transfer type, a summer transfer window, and ended before 2013 move from?
###assistant: SELECT moving_from FROM table_name_38 WHERE type = "transfer" AND transfer_window = "summer" AND ends < 2013 |
###context:CREATE TABLE table_name_8 (transfer_window VARCHAR, name VARCHAR)
###human: What is the transfer window for larsson?
###assistant: SELECT transfer_window FROM table_name_8 WHERE name = "larsson" |
###context:CREATE TABLE table_name_81 (ends INTEGER, nat VARCHAR, transfer_window VARCHAR)
###human: What is the average end year of the player from swe and a summer transfer window?
###assistant: SELECT AVG(ends) FROM table_name_81 WHERE nat = "swe" AND transfer_window = "summer" |
###context:CREATE TABLE table_name_26 (outcome VARCHAR, date VARCHAR)
###human: What was the outcome on 2 December 2012?
###assistant: SELECT outcome FROM table_name_26 WHERE date = "2 december 2012" |
###context:CREATE TABLE table_name_97 (score_in_final VARCHAR, tournament VARCHAR)
###human: What is the score of the final in $10,000 – tarakan , indonesia f2?
###assistant: SELECT score_in_final FROM table_name_97 WHERE tournament = "$10,000 – tarakan , indonesia f2" |
###context:CREATE TABLE table_name_60 (place VARCHAR, score VARCHAR)
###human: What was the place for the score 70-72-69=211?
###assistant: SELECT place FROM table_name_60 WHERE score = 70 - 72 - 69 = 211 |
###context:CREATE TABLE table_name_97 (player VARCHAR, place VARCHAR, score VARCHAR)
###human: What was the player for t9 and a score of 73-69-74=216?
###assistant: SELECT player FROM table_name_97 WHERE place = "t9" AND score = 73 - 69 - 74 = 216 |
###context:CREATE TABLE table_name_50 (place VARCHAR, player VARCHAR)
###human: What was Stacy Lewis' place?
###assistant: SELECT place FROM table_name_50 WHERE player = "stacy lewis" |
###context:CREATE TABLE table_name_87 (score VARCHAR, tie_no VARCHAR)
###human: What was the score when the tie no was 13?
###assistant: SELECT score FROM table_name_87 WHERE tie_no = "13" |
###context:CREATE TABLE table_name_31 (score VARCHAR, away_team VARCHAR)
###human: What was the score when Burnley was the away team?
###assistant: SELECT score FROM table_name_31 WHERE away_team = "burnley" |
###context:CREATE TABLE table_name_32 (to_par VARCHAR, finish VARCHAR)
###human: What is the To par when the finish is 66?
###assistant: SELECT to_par FROM table_name_32 WHERE finish = "66" |
###context:CREATE TABLE table_name_58 (total INTEGER, finish VARCHAR, year_s__won VARCHAR)
###human: When the year won is 1981, 1987, and the finish is t46, what is the lowest total?
###assistant: SELECT MIN(total) FROM table_name_58 WHERE finish = "t46" AND year_s__won = "1981, 1987" |
###context:CREATE TABLE table_name_25 (year_s__won VARCHAR, finish VARCHAR)
###human: Which year was won with a finish of 68
###assistant: SELECT year_s__won FROM table_name_25 WHERE finish = "68" |
###context:CREATE TABLE table_name_19 (snatch INTEGER, total__kg_ VARCHAR, bodyweight VARCHAR)
###human: WHTA IS THE SNATCH WITH A TOTAL OF LARGER THAN 318 KG AND BODY WEIGHT OF 84.15?
###assistant: SELECT AVG(snatch) FROM table_name_19 WHERE total__kg_ > 318 AND bodyweight = 84.15 |
###context:CREATE TABLE table_name_45 (snatch INTEGER, total__kg_ VARCHAR, clean_ VARCHAR, _jerk VARCHAR)
###human: WHAT IS THE SNATCH WITH TOTAL KG SMALLER THAN 318, AND CLEAN JERK LARGER THAN 175?
###assistant: SELECT MIN(snatch) FROM table_name_45 WHERE total__kg_ < 318 AND clean_ & _jerk > 175 |
###context:CREATE TABLE table_name_44 (date VARCHAR, killed VARCHAR, location VARCHAR)
###human: What date has 2 for killed, and jaffa as the location?
###assistant: SELECT date FROM table_name_44 WHERE killed = "2" AND location = "jaffa" |
###context:CREATE TABLE table_name_9 (injured VARCHAR, location VARCHAR)
###human: What is the injured that has skierlik as the location?
###assistant: SELECT injured FROM table_name_9 WHERE location = "skierlik" |
###context:CREATE TABLE table_name_46 (team_1 VARCHAR)
###human: What is the 2nd leg that Team 1 is Union Berlin?
###assistant: SELECT 2 AS nd_leg FROM table_name_46 WHERE team_1 = "union berlin" |
###context:CREATE TABLE table_name_81 (apps VARCHAR, ratio VARCHAR, goals VARCHAR)
###human: What is the Apps for the player with 150 Goals and a Ratio of 0.52?
###assistant: SELECT apps FROM table_name_81 WHERE ratio = 0.52 AND goals = 150 |
###context:CREATE TABLE table_name_42 (team VARCHAR, circuit VARCHAR)
###human: Which team won at the symmons plains raceway?
###assistant: SELECT team FROM table_name_42 WHERE circuit = "symmons plains raceway" |
###context:CREATE TABLE table_name_5 (team VARCHAR, circuit VARCHAR)
###human: Which team won at winton motor raceway?
###assistant: SELECT team FROM table_name_5 WHERE circuit = "winton motor raceway" |
###context:CREATE TABLE table_name_71 (circuit VARCHAR, series VARCHAR)
###human: Which circuit was the atcc round 7 at?
###assistant: SELECT circuit FROM table_name_71 WHERE series = "atcc round 7" |
###context:CREATE TABLE table_name_68 (circuit VARCHAR, team VARCHAR, series VARCHAR)
###human: Which circuit did winfield team nissan win for the tooheys 1000?
###assistant: SELECT circuit FROM table_name_68 WHERE team = "winfield team nissan" AND series = "tooheys 1000" |
###context:CREATE TABLE table_name_44 (date VARCHAR, series VARCHAR)
###human: What is the date for the tooheys 1000?
###assistant: SELECT date FROM table_name_44 WHERE series = "tooheys 1000" |
###context:CREATE TABLE table_name_49 (series VARCHAR, city___state VARCHAR)
###human: what series was in sydney, new south wales?
###assistant: SELECT series FROM table_name_49 WHERE city___state = "sydney, new south wales" |
###context:CREATE TABLE table_name_86 (rank VARCHAR, ø_pts VARCHAR, games VARCHAR)
###human: What was the rank for 1.26 Ø-Pts in game 1458?
###assistant: SELECT COUNT(rank) FROM table_name_86 WHERE ø_pts > 1.26 AND games = 1458 |
###context:CREATE TABLE table_name_61 (outcome VARCHAR, partner VARCHAR, score VARCHAR)
###human: What is the Outcome of the match with Partner Marcella Mesker and a Score of 6–4, 4–6, 4–6?
###assistant: SELECT outcome FROM table_name_61 WHERE partner = "marcella mesker" AND score = "6–4, 4–6, 4–6" |
###context:CREATE TABLE table_name_30 (surface VARCHAR, score VARCHAR)
###human: What is the Surface of the match with a Score of 2–6, 6–4, 7–6?
###assistant: SELECT surface FROM table_name_30 WHERE score = "2–6, 6–4, 7–6" |
###context:CREATE TABLE table_name_77 (surface VARCHAR, date VARCHAR)
###human: What is the Surface of the match played on October 5, 1987?
###assistant: SELECT surface FROM table_name_77 WHERE date = "october 5, 1987" |
###context:CREATE TABLE table_name_57 (date VARCHAR, partner VARCHAR, score VARCHAR)
###human: What is the Date of the match with a Score of 0–6, 2–6 with Partner Marcella Mesker?
###assistant: SELECT date FROM table_name_57 WHERE partner = "marcella mesker" AND score = "0–6, 2–6" |
###context:CREATE TABLE table_name_73 (opponents VARCHAR, date VARCHAR)
###human: Who is the Opponents on May 3, 1982?
###assistant: SELECT opponents FROM table_name_73 WHERE date = "may 3, 1982" |
###context:CREATE TABLE table_name_94 (score VARCHAR, outcome VARCHAR, date VARCHAR)
###human: What is the Score of the match on May 21, 1984 with Outcome of runner-up?
###assistant: SELECT score FROM table_name_94 WHERE outcome = "runner-up" AND date = "may 21, 1984" |
###context:CREATE TABLE table_name_70 (date VARCHAR, event VARCHAR)
###human: What is the date of the 200m individual medley?
###assistant: SELECT date FROM table_name_70 WHERE event = "200m individual medley" |
###context:CREATE TABLE table_name_20 (team_1 VARCHAR, team_2 VARCHAR)
###human: Which team was team 1 in the match where team 2 was olympique lyonnais (d2)?
###assistant: SELECT team_1 FROM table_name_20 WHERE team_2 = "olympique lyonnais (d2)" |
###context:CREATE TABLE table_name_63 (score VARCHAR, team_1 VARCHAR)
###human: What was the score of the match where paris sg (d1) was team 1?
###assistant: SELECT score FROM table_name_63 WHERE team_1 = "paris sg (d1)" |
###context:CREATE TABLE table_name_77 (week VARCHAR, result VARCHAR)
###human: Which Week has a Result of w 23–22?
###assistant: SELECT week FROM table_name_77 WHERE result = "w 23–22" |
###context:CREATE TABLE table_name_32 (date VARCHAR, result VARCHAR)
###human: When was there a bye result?
###assistant: SELECT date FROM table_name_32 WHERE result = "bye" |
###context:CREATE TABLE table_name_40 (date VARCHAR, attendance VARCHAR)
###human: When was the attendance 65,806?
###assistant: SELECT date FROM table_name_40 WHERE attendance = "65,806" |
###context:CREATE TABLE table_name_43 (opponent VARCHAR, week INTEGER)
###human: Who was the opponent after week 16?
###assistant: SELECT opponent FROM table_name_43 WHERE week > 16 |
###context:CREATE TABLE table_name_78 (commissioned VARCHAR, laid_down VARCHAR)
###human: What is Commissioned, when Laid Down is "6 September 2003"?
###assistant: SELECT commissioned FROM table_name_78 WHERE laid_down = "6 september 2003" |
###context:CREATE TABLE table_name_63 (launched VARCHAR, laid_down VARCHAR)
###human: What is Launched, when Laid Down is "31 October 1981"?
###assistant: SELECT launched FROM table_name_63 WHERE laid_down = "31 october 1981" |
###context:CREATE TABLE table_name_54 (ship VARCHAR, commissioned VARCHAR)
###human: What is Ship, when Commissioned is "13 March 1982"?
###assistant: SELECT ship FROM table_name_54 WHERE commissioned = "13 march 1982" |
###context:CREATE TABLE table_name_50 (launched VARCHAR, commissioned VARCHAR)
###human: What is Launched, when Commissioned is "25 July 1998"?
###assistant: SELECT launched FROM table_name_50 WHERE commissioned = "25 july 1998" |
###context:CREATE TABLE table_name_85 (laid_down VARCHAR, hull_number VARCHAR)
###human: What is Laid Down, when Hull Number is "CVN-69"?
###assistant: SELECT laid_down FROM table_name_85 WHERE hull_number = "cvn-69" |
###context:CREATE TABLE table_name_90 (laid_down VARCHAR, commissioned VARCHAR)
###human: What is Laid Down, when Commissioned is "11 November 1989"?
###assistant: SELECT laid_down FROM table_name_90 WHERE commissioned = "11 november 1989" |
###context:CREATE TABLE table_name_67 (position VARCHAR, entrant VARCHAR)
###human: Can you tell me the Position that has the Entrant of j ampt?
###assistant: SELECT position FROM table_name_67 WHERE entrant = "j ampt" |
###context:CREATE TABLE table_name_77 (entrant VARCHAR, laps VARCHAR)
###human: Can you tell me the Entrant that has the Laps of 17?
###assistant: SELECT entrant FROM table_name_77 WHERE laps = 17 |
###context:CREATE TABLE table_name_41 (position VARCHAR, driver VARCHAR)
###human: Can you tell me the Position that has the Driver of bib stillwell?
###assistant: SELECT position FROM table_name_41 WHERE driver = "bib stillwell" |
###context:CREATE TABLE table_name_70 (result VARCHAR, attendance VARCHAR)
###human: What are the results for a game with an attendance of 41,429?
###assistant: SELECT result FROM table_name_70 WHERE attendance = "41,429" |
###context:CREATE TABLE table_name_1 (opponent_number VARCHAR, attendance VARCHAR)
###human: Who were the opponents when there was an attendance of 48,165?
###assistant: SELECT opponent_number FROM table_name_1 WHERE attendance = "48,165" |
###context:CREATE TABLE table_name_41 (result VARCHAR, attendance VARCHAR)
###human: What are the results for the game with 82,113 attending?
###assistant: SELECT result FROM table_name_41 WHERE attendance = "82,113" |
###context:CREATE TABLE table_name_12 (week_4 VARCHAR, week_3 VARCHAR)
###human: Who was the girl on week 4 after week 3's Mikaela James?
###assistant: SELECT week_4 FROM table_name_12 WHERE week_3 = "mikaela james" |
###context:CREATE TABLE table_name_23 (week_1 VARCHAR, week_3 VARCHAR)
###human: Who was the girl on week 1 that was previous to week 3's Ava Hart?
###assistant: SELECT week_1 FROM table_name_23 WHERE week_3 = "ava hart" |
###context:CREATE TABLE table_name_73 (week_2 VARCHAR, week_4 VARCHAR)
###human: Who was the girl on week 2 that was previous to week 4's Chelsie Loraine?
###assistant: SELECT week_2 FROM table_name_73 WHERE week_4 = "chelsie loraine" |
###context:CREATE TABLE table_name_72 (week_5 VARCHAR, week_3 VARCHAR)
###human: Who was the girl on week 5 that came after week 3's Mikaela James?
###assistant: SELECT week_5 FROM table_name_72 WHERE week_3 = "mikaela james" |
###context:CREATE TABLE table_name_12 (week_1 VARCHAR, week_2 VARCHAR)
###human: Who was the girl on week 1 that preceded week 2's Kamila Sulewska?
###assistant: SELECT week_1 FROM table_name_12 WHERE week_2 = "kamila sulewska" |
###context:CREATE TABLE table_name_21 (week_5 VARCHAR, week_3 VARCHAR)
###human: Who was the girl on week 5 that came after week 3's Shelly Louise?
###assistant: SELECT week_5 FROM table_name_21 WHERE week_3 = "shelly louise" |
###context:CREATE TABLE table_name_24 (points VARCHAR)
###human: What is 1987-88, when Points is "136"?
###assistant: SELECT 1987 AS _88 FROM table_name_24 WHERE points = 136 |
###context:CREATE TABLE table_name_13 (draw INTEGER, points VARCHAR, goals_conceded VARCHAR)
###human: Name the the highest Draw which has Points of 22 and Goals Conceded smaller than 26?
###assistant: SELECT MAX(draw) FROM table_name_13 WHERE points = "22" AND goals_conceded < 26 |
###context:CREATE TABLE table_name_23 (played INTEGER, goals_scored VARCHAR, lost VARCHAR)
###human: Name the highest Played of Goals Scored smaller than 18 and a Lost larger than 10?
###assistant: SELECT MAX(played) FROM table_name_23 WHERE goals_scored < 18 AND lost > 10 |
###context:CREATE TABLE table_name_72 (played INTEGER, points VARCHAR)
###human: Name the average Played with a Points of 0*?
###assistant: SELECT AVG(played) FROM table_name_72 WHERE points = "0*" |
###context:CREATE TABLE table_name_59 (draw INTEGER, lost VARCHAR, goals_scored VARCHAR)
###human: Count the Draw which has Lost of 0, and a Goals Scored larger than 0?
###assistant: SELECT SUM(draw) FROM table_name_59 WHERE lost = 0 AND goals_scored > 0 |
###context:CREATE TABLE table_name_48 (goals_conceded INTEGER, draw VARCHAR, played VARCHAR)
###human: Name the Goals Conceded which has a Draw of 0 and a Played larger than 0?
###assistant: SELECT AVG(goals_conceded) FROM table_name_48 WHERE draw = 0 AND played > 0 |
###context:CREATE TABLE table_name_74 (rank VARCHAR, total VARCHAR, nation VARCHAR)
###human: What is the rank for the Mixed Team nation with a total of less than 13?
###assistant: SELECT rank FROM table_name_74 WHERE total < 13 AND nation = "mixed team" |
###context:CREATE TABLE table_name_98 (bronze VARCHAR, silver INTEGER)
###human: What is the total number of bronze medals for teams with less than 0 silver?
###assistant: SELECT COUNT(bronze) FROM table_name_98 WHERE silver < 0 |
###context:CREATE TABLE table_name_87 (bronze INTEGER, silver VARCHAR, total VARCHAR)
###human: What is the average number of bronze medals when the team's silver are more than 1 but the total medals are less than 9?
###assistant: SELECT AVG(bronze) FROM table_name_87 WHERE silver > 1 AND total < 9 |
###context:CREATE TABLE table_name_39 (military_and_or_civilian_wounded VARCHAR, civilian_deaths VARCHAR, total_deaths__not_including_foreigners_ VARCHAR)
###human: How many military or civilians were wounded in the conflict that had an unknown number of civilian and total deaths?
###assistant: SELECT military_and_or_civilian_wounded FROM table_name_39 WHERE civilian_deaths = "unknown" AND total_deaths__not_including_foreigners_ = "unknown" |
###context:CREATE TABLE table_name_21 (civilian_deaths VARCHAR, military_deaths VARCHAR)
###human: How many civilians died in the conflict that left 231 members of the military dead?
###assistant: SELECT civilian_deaths FROM table_name_21 WHERE military_deaths = "231" |
###context:CREATE TABLE table_name_19 (civilian_deaths VARCHAR, total_deaths__not_including_foreigners_ VARCHAR)
###human: How many civilians died in the conflict that left 178, excluding foreigners, dead?
###assistant: SELECT civilian_deaths FROM table_name_19 WHERE total_deaths__not_including_foreigners_ = "178" |
###context:CREATE TABLE table_name_38 (military_deaths VARCHAR, total_casualties VARCHAR)
###human: How many members of the military died in the conflict that had a total of 531 casualties?
###assistant: SELECT military_deaths FROM table_name_38 WHERE total_casualties = "531" |
###context:CREATE TABLE table_name_95 (civilian_deaths VARCHAR, total_casualties VARCHAR)
###human: How many civilians died in the conflict that had a total of 1,130 casualties?
###assistant: SELECT civilian_deaths FROM table_name_95 WHERE total_casualties = "1,130" |
###context:CREATE TABLE table_name_7 (opponent VARCHAR, week VARCHAR)
###human: Which team was the opponent on week 15?
###assistant: SELECT opponent FROM table_name_7 WHERE week = 15 |
###context:CREATE TABLE table_name_44 (total INTEGER, finish VARCHAR)
###human: What is the average Total, when Finish is "T47"?
###assistant: SELECT AVG(total) FROM table_name_44 WHERE finish = "t47" |
###context:CREATE TABLE table_name_37 (to_par VARCHAR, total VARCHAR, finish VARCHAR)
###human: What is To par, when Total is less than 297, and when Finish is "1"?
###assistant: SELECT to_par FROM table_name_37 WHERE total < 297 AND finish = "1" |
###context:CREATE TABLE table_name_96 (official_itv1_rating VARCHAR, episode VARCHAR)
###human: What is the Official ITV1 rating for auditions 4?
###assistant: SELECT official_itv1_rating FROM table_name_96 WHERE episode = "auditions 4" |
###context:CREATE TABLE table_name_32 (official_itv1_rating INTEGER, share VARCHAR)
###human: What is the lowest official ITV1 rating with 45.4% share?
###assistant: SELECT MIN(official_itv1_rating) FROM table_name_32 WHERE share = "45.4%" |
###context:CREATE TABLE table_name_48 (goals_against VARCHAR, position VARCHAR, wins VARCHAR, club VARCHAR)
###human: How many Goals against have Wins larger than 12, and a Club of ud las palmas, and a Position larger than 5?
###assistant: SELECT COUNT(goals_against) FROM table_name_48 WHERE wins > 12 AND club = "ud las palmas" AND position > 5 |
###context:CREATE TABLE table_name_65 (goals_against INTEGER, goal_difference VARCHAR, position VARCHAR, points VARCHAR, goals_for VARCHAR)
###human: Which Goals against has Points smaller than 26, and Goals for smaller than 38, and a Position larger than 14, and a Goal Difference smaller than -32?
###assistant: SELECT MAX(goals_against) FROM table_name_65 WHERE points < 26 AND goals_for < 38 AND position > 14 AND goal_difference < -32 |
###context:CREATE TABLE table_name_15 (goals_against INTEGER, club VARCHAR, points VARCHAR)
###human: Which Goals against have a Club of cd castellón, and Points smaller than 24?
###assistant: SELECT AVG(goals_against) FROM table_name_15 WHERE club = "cd castellón" AND points < 24 |
###context:CREATE TABLE table_name_51 (played INTEGER, goals_against VARCHAR, wins VARCHAR)
###human: How much Played has Goals against smaller than 34, and Wins smaller than 13?
###assistant: SELECT SUM(played) FROM table_name_51 WHERE goals_against < 34 AND wins < 13 |
###context:CREATE TABLE table_name_94 (played INTEGER, goals_against VARCHAR, points VARCHAR, position VARCHAR, wins VARCHAR)
###human: Which Played has a Position smaller than 4, and Wins larger than 16, and Points of 38, and Goals against larger than 35?
###assistant: SELECT AVG(played) FROM table_name_94 WHERE position < 4 AND wins > 16 AND points = 38 AND goals_against > 35 |
###context:CREATE TABLE table_name_99 (to_par VARCHAR, country VARCHAR)
###human: What is the To Par score for the player from France?
###assistant: SELECT to_par FROM table_name_99 WHERE country = "france" |
###context:CREATE TABLE table_name_41 (player VARCHAR, score VARCHAR)
###human: What is the name of the player with an overall score of 70-69-69=208?
###assistant: SELECT player FROM table_name_41 WHERE score = 70 - 69 - 69 = 208 |
###context:CREATE TABLE table_name_38 (to_par VARCHAR, score VARCHAR)
###human: What is the To Par score for the player with an overall score of 71-68-69=208?
###assistant: SELECT to_par FROM table_name_38 WHERE score = 71 - 68 - 69 = 208 |
###context:CREATE TABLE table_name_68 (location VARCHAR, champion VARCHAR)
###human: What location did Anke Huber win the championship?
###assistant: SELECT location FROM table_name_68 WHERE champion = "anke huber" |
###context:CREATE TABLE table_name_26 (runner_up VARCHAR, year VARCHAR)
###human: Who won the runner-up in 1999?
###assistant: SELECT runner_up FROM table_name_26 WHERE year = 1999 |
###context:CREATE TABLE table_name_67 (score VARCHAR, champion VARCHAR)
###human: What was the score when Flavia Pennetta won the championship?
###assistant: SELECT score FROM table_name_67 WHERE champion = "flavia pennetta" |
###context:CREATE TABLE table_name_96 (matches VARCHAR, s_rate VARCHAR, team VARCHAR)
###human: How many Matches have an S/Rate smaller than 133.72, and a Team of yorkshire carnegie?
###assistant: SELECT COUNT(matches) FROM table_name_96 WHERE s_rate < 133.72 AND team = "yorkshire carnegie" |
###context:CREATE TABLE table_name_27 (team VARCHAR, matches VARCHAR, balls VARCHAR, inns VARCHAR)
###human: Which Team has Balls smaller than 258, and Inns of 10, and Matches smaller than 12?
###assistant: SELECT team FROM table_name_27 WHERE balls < 258 AND inns = 10 AND matches < 12 |
###context:CREATE TABLE table_name_87 (matches INTEGER, s_rate VARCHAR, balls VARCHAR, average VARCHAR)
###human: How many Matches have Balls smaller than 224, and an Average larger than 38.25, and an S/Rate larger than 139.09?
###assistant: SELECT SUM(matches) FROM table_name_87 WHERE balls < 224 AND average > 38.25 AND s_rate > 139.09 |
###context:CREATE TABLE table_name_56 (fastest_lap VARCHAR, grand_prix VARCHAR)
###human: What was the fastest lap for Grand Prix dutch tt?
###assistant: SELECT fastest_lap FROM table_name_56 WHERE grand_prix = "dutch tt" |
###context:CREATE TABLE table_name_47 (race_winner VARCHAR, circuit VARCHAR)
###human: Who won the race circuit of sachsenring?
###assistant: SELECT race_winner FROM table_name_47 WHERE circuit = "sachsenring" |
###context:CREATE TABLE table_name_97 (race_winner VARCHAR, fastest_lap VARCHAR, date VARCHAR)
###human: Who won with the fastest lap of daijiro hiura on March 29?
###assistant: SELECT race_winner FROM table_name_97 WHERE fastest_lap = "daijiro hiura" AND date = "march 29" |
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