question string | answer string | context string | dialect string | spider_hardness string | extended_hardness string | classification_status string | syntax_status string | ddl_syntax_status string | schema_status string | syntax_errors list | ddl_syntax_errors list | schema_errors list | classification_errors list | status_history list | correction_status string | component1 int64 | component2 int64 | others int64 | validation_source dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Who played the Rams on October 2, 2005? | SELECT opponent FROM table_name_22 WHERE date = 'october 2, 2005' | CREATE TABLE table_name_22 (opponent VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42540
} |
What was the attendance of the game on December 11, 2005? | SELECT attendance FROM table_name_82 WHERE date = 'december 11, 2005' | CREATE TABLE table_name_82 (attendance VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42541
} |
What was the result of the game played in front of 65,473? | SELECT result FROM table_name_19 WHERE attendance = '65,473' | CREATE TABLE table_name_19 (result VARCHAR(255), attendance VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42542
} |
How large was the crowd at Carlton's home game? | SELECT COUNT(crowd) FROM table_name_10 WHERE home_team = 'carlton' | CREATE TABLE table_name_10 (crowd VARCHAR(255), home_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42543
} |
What was the score when St Kilda played as the home team? | SELECT home_team AS score FROM table_name_59 WHERE home_team = 'st kilda' | CREATE TABLE table_name_59 (home_team VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42544
} |
What was the crowd when the VFL played Windy Hill? | SELECT SUM(crowd) FROM table_name_49 WHERE venue = 'windy hill' | CREATE TABLE table_name_49 (crowd INTEGER, venue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42545
} |
What was Carlton's score when they were the away team? | SELECT away_team AS score FROM table_name_86 WHERE away_team = 'carlton' | CREATE TABLE table_name_86 (away_team VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42546
} |
What was the away team that played at Corio Oval? | SELECT away_team FROM table_name_9 WHERE venue = 'corio oval' | CREATE TABLE table_name_9 (away_team VARCHAR(255), venue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42547
} |
Which Home team faced the Away team, Hawthorn? | SELECT home_team FROM table_name_9 WHERE away_team = 'hawthorn' | CREATE TABLE table_name_9 (home_team VARCHAR(255), away_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42548
} |
What was the Home team's score when the Venue was mcg? | SELECT home_team AS score FROM table_name_95 WHERE venue = 'mcg' | CREATE TABLE table_name_95 (home_team VARCHAR(255), venue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42549
} |
What is the division in the season more recent than 2012 when the round of 16 was reached in the FA Cup? | SELECT COUNT(division) FROM table_name_9 WHERE fa_cup = 'round of 16' AND season > 2012 | CREATE TABLE table_name_9 (division VARCHAR(255), fa_cup VARCHAR(255), season VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42550
} |
What is the division in the season with 13 tms and pos smaller than 8? | SELECT COUNT(division) FROM table_name_36 WHERE tms = 13 AND pos < 8 | CREATE TABLE table_name_36 (division VARCHAR(255), tms VARCHAR(255), pos VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42551
} |
Of the games before week 3 which had attendance great than 65,904? | SELECT date FROM table_name_88 WHERE week < 3 AND attendance > 65 OFFSET 904 | CREATE TABLE table_name_88 (date VARCHAR(255), week VARCHAR(255), attendance VARCHAR(255)) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 42552
} |
What was the first week to have attendance of 65,866? | SELECT MIN(week) FROM table_name_31 WHERE attendance = 65 OFFSET 866 | CREATE TABLE table_name_31 (week INTEGER, attendance VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 42553
} |
Where is the Belhaven College SSAC conference location? | SELECT location FROM table_name_23 WHERE current_conference = 'ssac' AND institution = 'belhaven college' | CREATE TABLE table_name_23 (location VARCHAR(255), current_conference VARCHAR(255), institution VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42554
} |
What American Southwest Conference school was founded in 1883? | SELECT institution FROM table_name_87 WHERE founded > 1883 AND current_conference = 'american southwest' | CREATE TABLE table_name_87 (institution VARCHAR(255), founded VARCHAR(255), current_conference VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42555
} |
Which League showed 7,975 for an average attendance? | SELECT league FROM table_name_20 WHERE attendance_average = '7,975' | CREATE TABLE table_name_20 (league VARCHAR(255), attendance_average VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42556
} |
What is the average attendance of the team that had a regular season result of 2nd aisa, 24-16? | SELECT attendance_average FROM table_name_68 WHERE reg_season = '2nd aisa, 24-16' | CREATE TABLE table_name_68 (attendance_average VARCHAR(255), reg_season VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42557
} |
Who won Group VI, when Group 1 was won by deportivo, group IV by sevilla, and group III by Valencia? | SELECT group_vI FROM table_name_75 WHERE group_i = 'deportivo' AND group_iV = sevilla AND group_iII = valencia | CREATE TABLE table_name_75 (group_vI VARCHAR(255), group_iII VARCHAR(255), valencia VARCHAR(255), group_i VARCHAR(255), group_iV VARCHAR(255), sevilla VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42558
} |
Who won group III when group 1 was of the racing club? | SELECT group_iII FROM table_name_99 WHERE group_i = 'racing club' | CREATE TABLE table_name_99 (group_iII VARCHAR(255), group_i VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42559
} |
Which team is John Williams a rider for? | SELECT team FROM table_name_7 WHERE rider = 'john williams' | CREATE TABLE table_name_7 (team VARCHAR(255), rider VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42560
} |
How big was the crowd when Geelong was the home team? | SELECT COUNT(crowd) FROM table_name_96 WHERE home_team = 'geelong' | CREATE TABLE table_name_96 (crowd VARCHAR(255), home_team VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42561
} |
Who was the away team when Hawthorn was the home team? | SELECT away_team AS score FROM table_name_23 WHERE home_team = 'hawthorn' | CREATE TABLE table_name_23 (away_team VARCHAR(255), home_team VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42562
} |
What is the total in the case where theere are 6 lecturers and fewer than 48 professors? | SELECT AVG(total) FROM table_name_96 WHERE lecturers = 6 AND professors < 48 | CREATE TABLE table_name_96 (total INTEGER, lecturers VARCHAR(255), professors VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42563
} |
What is the total in the case when there are more than 4 associate professors, 5 lecturers and fewer professors than 40? | SELECT COUNT(total) FROM table_name_33 WHERE associate_professors > 4 AND lecturers = 5 AND professors < 40 | CREATE TABLE table_name_33 (total VARCHAR(255), professors VARCHAR(255), associate_professors VARCHAR(255), lecturers VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42564
} |
How may lecturers are there in the case when there are more than 8 assistant professors, fewer than 35 associate professors, more than 14 professors and total of more than 81? | SELECT COUNT(lecturers) FROM table_name_71 WHERE assistant_professors > 8 AND professors > 14 AND associate_professors < 35 AND total > 81 | CREATE TABLE table_name_71 (lecturers VARCHAR(255), total VARCHAR(255), associate_professors VARCHAR(255), assistant_professors VARCHAR(255), professors VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42565
} |
What is the maximum number of associate professors when there are more than 5 assistant professors and fewer than 14 professors? | SELECT MAX(associate_professors) FROM table_name_29 WHERE assistant_professors > 5 AND professors < 14 | CREATE TABLE table_name_29 (associate_professors INTEGER, assistant_professors VARCHAR(255), professors VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42566
} |
Which country has the banglavision Network? | SELECT origin_of_programming FROM table_name_85 WHERE network = 'banglavision' | CREATE TABLE table_name_85 (origin_of_programming VARCHAR(255), network VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42567
} |
How many points did South Melbourne score as the home team? | SELECT home_team AS score FROM table_name_26 WHERE home_team = 'south melbourne' | CREATE TABLE table_name_26 (home_team VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42584
} |
On what date was the home team Footscray? | SELECT date FROM table_name_49 WHERE home_team = 'footscray' | CREATE TABLE table_name_49 (date VARCHAR(255), home_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42585
} |
What is the average amount of goals that have a goal difference or 8 and the losses are smaller than 12? | SELECT AVG(goals_for) FROM table_name_99 WHERE goal_difference = 8 AND losses < 12 | CREATE TABLE table_name_99 (goals_for INTEGER, goal_difference VARCHAR(255), losses VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42586
} |
How many goals have a Lokomotiv Plovdiv club and goals against larger than 58? | SELECT COUNT(goals_for) FROM table_name_80 WHERE club = 'lokomotiv plovdiv' AND goals_against > 58 | CREATE TABLE table_name_80 (goals_for VARCHAR(255), club VARCHAR(255), goals_against VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42587
} |
What is the average goal difference using slavia sofia club? | SELECT AVG(goal_difference) FROM table_name_8 WHERE club = 'slavia sofia' | CREATE TABLE table_name_8 (goal_difference INTEGER, club VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42588
} |
What is the played average that has botev plovdiv as the club and wins larger than 11? | SELECT AVG(played) FROM table_name_43 WHERE club = 'botev plovdiv' AND wins > 11 | CREATE TABLE table_name_43 (played INTEGER, club VARCHAR(255), wins VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42589
} |
Where did they play on their bye week? | SELECT game_site FROM table_name_83 WHERE record = 'bye' | CREATE TABLE table_name_83 (game_site VARCHAR(255), record VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42590
} |
What is the kickoff that has a NFL.com recap, is played before week 17, and is played at arrowhead stadium? | SELECT kickoff FROM table_name_53 WHERE nflcom_recap = 'recap' AND week < 17 AND game_site = 'arrowhead stadium' | CREATE TABLE table_name_53 (kickoff VARCHAR(255), game_site VARCHAR(255), nflcom_recap VARCHAR(255), week VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42591
} |
Who is the home team at brunswick street oval? | SELECT home_team FROM table_name_17 WHERE venue = 'brunswick street oval' | CREATE TABLE table_name_17 (home_team VARCHAR(255), venue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42592
} |
What is the home team's score at brunswick street oval? | SELECT home_team AS score FROM table_name_82 WHERE venue = 'brunswick street oval' | CREATE TABLE table_name_82 (home_team VARCHAR(255), venue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42593
} |
Which match had the largest crowd size where the away team was North Melbourne? | SELECT MAX(crowd) FROM table_name_43 WHERE away_team = 'north melbourne' | CREATE TABLE table_name_43 (crowd INTEGER, away_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42594
} |
What was North Melbourne's score as an away team? | SELECT away_team AS score FROM table_name_66 WHERE away_team = 'north melbourne' | CREATE TABLE table_name_66 (away_team VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42595
} |
What was the away team's score against Hawthorn? | SELECT away_team AS score FROM table_name_9 WHERE home_team = 'hawthorn' | CREATE TABLE table_name_9 (away_team VARCHAR(255), home_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42596
} |
What was the away team that played the home team of Geelong? | SELECT away_team FROM table_name_49 WHERE home_team = 'geelong' | CREATE TABLE table_name_49 (away_team VARCHAR(255), home_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42597
} |
Which week with Green Bay Packers as an opponent is the highest? | SELECT MAX(week) FROM table_name_52 WHERE opponent = 'green bay packers' | CREATE TABLE table_name_52 (week INTEGER, opponent VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42598
} |
What is the number of starts for the player who lost fewer than 22 and has more than 4 tries? | SELECT AVG(start) FROM table_name_11 WHERE lost < 22 AND tries > 4 | CREATE TABLE table_name_11 (start INTEGER, lost VARCHAR(255), tries VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42599
} |
What was the date when the attendance was 77,918? | SELECT date FROM table_name_90 WHERE attendance = '77,918' | CREATE TABLE table_name_90 (date VARCHAR(255), attendance VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42616
} |
What was the attendance of the game played in the Georgia Dome? | SELECT attendance FROM table_name_6 WHERE game_site = 'georgia dome' | CREATE TABLE table_name_6 (attendance VARCHAR(255), game_site VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42617
} |
What was the date when the attendance was 73,529? | SELECT date FROM table_name_89 WHERE attendance = '73,529' | CREATE TABLE table_name_89 (date VARCHAR(255), attendance VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42618
} |
What away team played at Western Oval? | SELECT away_team FROM table_name_75 WHERE venue = 'western oval' | CREATE TABLE table_name_75 (away_team VARCHAR(255), venue VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42619
} |
What was the smallest crowd when Footscray played at home? | SELECT MIN(crowd) FROM table_name_95 WHERE home_team = 'footscray' | CREATE TABLE table_name_95 (crowd INTEGER, home_team VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42620
} |
What was the outcome when she partnered with mashona washington? | SELECT outcome FROM table_name_39 WHERE partner = 'mashona washington' | CREATE TABLE table_name_39 (outcome VARCHAR(255), partner VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42621
} |
What is the listed crowd at junction oval? | SELECT crowd FROM table_name_54 WHERE venue = 'junction oval' | CREATE TABLE table_name_54 (crowd VARCHAR(255), venue VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42622
} |
What is the sum of crowd(s) when north melbourne is away? | SELECT SUM(crowd) FROM table_name_92 WHERE away_team = 'north melbourne' | CREATE TABLE table_name_92 (crowd INTEGER, away_team VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42623
} |
What day is south melbourne away? | SELECT date FROM table_name_19 WHERE away_team = 'south melbourne' | CREATE TABLE table_name_19 (date VARCHAR(255), away_team VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42624
} |
What was the score of the competition on 23 November 2003? | SELECT score FROM table_name_64 WHERE date = '23 november 2003' | CREATE TABLE table_name_64 (score VARCHAR(255), date VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42625
} |
Where did Richmond play as an away team? | SELECT venue FROM table_name_70 WHERE away_team = 'richmond' | CREATE TABLE table_name_70 (venue VARCHAR(255), away_team VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42626
} |
When did South Melbourne play at home? | SELECT date FROM table_name_3 WHERE home_team = 'south melbourne' | CREATE TABLE table_name_3 (date VARCHAR(255), home_team VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42627
} |
What is the average election for vicenza province with the liga veneta party? | SELECT AVG(election) FROM table_name_31 WHERE party = 'liga veneta' AND province = 'vicenza' | CREATE TABLE table_name_31 (election INTEGER, party VARCHAR(255), province VARCHAR(255)); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42628
} |
What is the sum of elections in vicenza? | SELECT SUM(election) FROM table_name_1 WHERE province = 'vicenza' | CREATE TABLE table_name_1 (election INTEGER, province VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42629
} |
What province has an election after 2009? | SELECT province FROM table_name_55 WHERE election > 2009 | CREATE TABLE table_name_55 (province VARCHAR(255), election INTEGER); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42630
} |
What format does Japan use? | SELECT format FROM table_name_34 WHERE country = 'japan' | CREATE TABLE table_name_34 (format VARCHAR(255), country VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42631
} |
What date has a catalogue of 540 3622? | SELECT date FROM table_name_82 WHERE catalogue = '540 3622' | CREATE TABLE table_name_82 (date VARCHAR(255), catalogue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42632
} |
What format has a catalogue of asw 40362? | SELECT format FROM table_name_81 WHERE catalogue = 'asw 40362' | CREATE TABLE table_name_81 (format VARCHAR(255), catalogue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42633
} |
What date has a catalogue of asw 40362? | SELECT date FROM table_name_90 WHERE catalogue = 'asw 40362' | CREATE TABLE table_name_90 (date VARCHAR(255), catalogue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42634
} |
On what Date is the Crowd larger than 17,000? | SELECT date FROM table_name_8 WHERE crowd > 17 OFFSET 000 | CREATE TABLE table_name_8 (date VARCHAR(255), crowd INTEGER) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 42635
} |
Which Away team has the Home team of Carlton? | SELECT away_team FROM table_name_2 WHERE home_team = 'carlton' | CREATE TABLE table_name_2 (away_team VARCHAR(255), home_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42636
} |
What was the score of the Jeff Tarango game? | SELECT score FROM table_name_12 WHERE partner = 'jeff tarango' | CREATE TABLE table_name_12 (score VARCHAR(255), partner VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42637
} |
Where did Collingwood play ae the away team? | SELECT venue FROM table_name_57 WHERE away_team = 'collingwood' | CREATE TABLE table_name_57 (venue VARCHAR(255), away_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42638
} |
What was the score when there was more than 27,000 in attendance? | SELECT home_team AS score FROM table_name_73 WHERE crowd > 27 OFFSET 000 | CREATE TABLE table_name_73 (home_team VARCHAR(255), crowd INTEGER) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 42639
} |
Where did Hawthorn play as the home team? | SELECT venue FROM table_name_41 WHERE home_team = 'hawthorn' | CREATE TABLE table_name_41 (venue VARCHAR(255), home_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42640
} |
In 1990-2005 what is the lowest Start with Convs smaller than 2? | SELECT MIN(start) FROM table_name_93 WHERE span = '1990-2005' AND conv < 2 | CREATE TABLE table_name_93 (start INTEGER, span VARCHAR(255), conv VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42641
} |
What is the total of the crowd when the home team is footscray? | SELECT COUNT(crowd) FROM table_name_60 WHERE home_team = 'footscray' | CREATE TABLE table_name_60 (crowd VARCHAR(255), home_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42642
} |
What is the away team score when the away team is Essendon? | SELECT away_team AS score FROM table_name_16 WHERE away_team = 'essendon' | CREATE TABLE table_name_16 (away_team VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42643
} |
How many weeks ended in a result of L 20-10? | SELECT COUNT(week) FROM table_name_85 WHERE result = 'l 20-10' | CREATE TABLE table_name_85 (week VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42644
} |
What was the attendance in week 6? | SELECT attendance FROM table_name_13 WHERE week = 6 | CREATE TABLE table_name_13 (attendance VARCHAR(255), week VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42645
} |
Who was the opponent in the game that had an attendance of 60,066? | SELECT opponent FROM table_name_30 WHERE attendance = '60,066' | CREATE TABLE table_name_30 (opponent VARCHAR(255), attendance VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42646
} |
What is the designation of material or non-material for either positional or automatic with no rectified count and either opponent? | SELECT material_or_non_material FROM table_name_36 WHERE positional_or_automatic = 'either' AND count_rectified = 'no' AND opponents = 'either' | CREATE TABLE table_name_36 (material_or_non_material VARCHAR(255), opponents VARCHAR(255), positional_or_automatic VARCHAR(255), count_rectified VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42647
} |
What is the value for positional opponents with no material or non-material, and 3 suits? | SELECT opponents FROM table_name_92 WHERE positional_or_automatic = 'positional' AND material_or_non_material = 'no' AND suits = '3' | CREATE TABLE table_name_92 (opponents VARCHAR(255), suits VARCHAR(255), positional_or_automatic VARCHAR(255), material_or_non_material VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42648
} |
Is it material or non-material when there are 2 suits for either opponent? | SELECT material_or_non_material FROM table_name_63 WHERE suits = '2' AND opponents = 'either' | CREATE TABLE table_name_63 (material_or_non_material VARCHAR(255), suits VARCHAR(255), opponents VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42649
} |
Is the count rectified for single opponents, either positional or automatic, and no material or non-material? | SELECT count_rectified FROM table_name_78 WHERE opponents = 'single' AND positional_or_automatic = 'either' AND material_or_non_material = 'no' | CREATE TABLE table_name_78 (count_rectified VARCHAR(255), material_or_non_material VARCHAR(255), opponents VARCHAR(255), positional_or_automatic VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42650
} |
How many points did Happy Valley score before game 14? | SELECT COUNT(point) FROM table_name_89 WHERE team = 'happy valley' AND game < 14 | CREATE TABLE table_name_89 (point VARCHAR(255), team VARCHAR(255), game VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42651
} |
How many draws did the game after game 14 with goal gain 17 have? | SELECT MAX(draw) FROM table_name_45 WHERE goal_gain = 17 AND game > 14 | CREATE TABLE table_name_45 (draw INTEGER, goal_gain VARCHAR(255), game VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42652
} |
How many total draws were there with a less than 8 loss, more than 30 points, and a goal diff larger than 26? | SELECT COUNT(draw) FROM table_name_21 WHERE loss < 8 AND point > 30 AND goal_diff > 26 | CREATE TABLE table_name_21 (draw VARCHAR(255), goal_diff VARCHAR(255), loss VARCHAR(255), point VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42653
} |
How many average points did the player with a time/retired of +16.789 and have more laps than 68 have? | SELECT AVG(points) FROM table_name_8 WHERE time_retired = '+16.789' AND laps > 68 | CREATE TABLE table_name_8 (points INTEGER, time_retired VARCHAR(255), laps VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42655
} |
How many average points did the team Minardi Team USA have when there was a grid 3 and more laps than 68? | SELECT AVG(points) FROM table_name_21 WHERE team = 'minardi team usa' AND grid = 3 AND laps > 68 | CREATE TABLE table_name_21 (points INTEGER, laps VARCHAR(255), team VARCHAR(255), grid VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42656
} |
Which was the highest crowd drawn by an Away team in Richmond? | SELECT MAX(crowd) FROM table_name_6 WHERE away_team = 'richmond' | CREATE TABLE table_name_6 (crowd INTEGER, away_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42657
} |
Which home team has a venue of Arden Street Oval? | SELECT home_team FROM table_name_94 WHERE venue = 'arden street oval' | CREATE TABLE table_name_94 (home_team VARCHAR(255), venue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42658
} |
Which away team has a venue of Arden Street Oval? | SELECT away_team FROM table_name_76 WHERE venue = 'arden street oval' | CREATE TABLE table_name_76 (away_team VARCHAR(255), venue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42659
} |
What is the value for 2011 corresponding to a 2007 value of 1r? | SELECT 2011 FROM table_name_32 WHERE 2007 = '1r' | CREATE TABLE table_name_32 (Id VARCHAR(255), value VARCHAR(255)) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 2011"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 42660
} |
What value in 2013 corresponds to Grand Slam Tournaments in 2012? | SELECT 2013 FROM table_name_38 WHERE 2012 = 'grand slam tournaments' | CREATE TABLE table_name_38 (Id VARCHAR(255), value VARCHAR(255)) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 2013"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 42661
} |
What is the 2012 value when the 2011 and 2007 values are 1R? | SELECT 2012 FROM table_name_28 WHERE 2011 = '1r' AND 2007 = '1r' | CREATE TABLE table_name_28 (Id VARCHAR(255), value VARCHAR(255)) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 2012"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 42662
} |
What value for 2013 corresponds to the US Open Tournament? | SELECT 2013 FROM table_name_55 WHERE tournament = 'us open' | CREATE TABLE table_name_55 (tournament VARCHAR(255), value VARCHAR(255)) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 2013"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 42663
} |
The school nicknamed the wildcats has what sum of enrollment? | SELECT SUM(enrollment) FROM table_name_5 WHERE team_nickname = 'wildcats' | CREATE TABLE table_name_5 (enrollment INTEGER, team_nickname VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42664
} |
What is the Founded year of the school located in Paul Smiths, New York? | SELECT founded FROM table_name_99 WHERE location = 'paul smiths, new york' | CREATE TABLE table_name_99 (founded VARCHAR(255), location VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42665
} |
What was fitzroy's away side score? | SELECT away_team AS score FROM table_name_59 WHERE away_team = 'fitzroy' | CREATE TABLE table_name_59 (away_team VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42666
} |
What player attended UAB college? | SELECT player FROM table_name_53 WHERE college = 'uab' | CREATE TABLE table_name_53 (player VARCHAR(255), college VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42667
} |
What was the score of the game at RIch Stadium? | SELECT result FROM table_name_14 WHERE stadium = 'rich stadium' | CREATE TABLE table_name_14 (result VARCHAR(255), stadium VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42668
} |
Who had the best time of 1:32.269? | SELECT name FROM table_name_21 WHERE best = '1:32.269' | CREATE TABLE table_name_21 (name VARCHAR(255), best VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42669
} |
Who from Conquest Racing had the best time of 1:34.748 in Qual 1? | SELECT best FROM table_name_4 WHERE team = 'conquest racing' AND qual_1 = '1:34.748' | CREATE TABLE table_name_4 (best VARCHAR(255), team VARCHAR(255), qual_1 VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 42670
} |
Who in Qual 2 had the best time of 1:31.327? | SELECT qual_2 FROM table_name_5 WHERE best = '1:31.327' | CREATE TABLE table_name_5 (qual_2 VARCHAR(255), best VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42671
} |
What was Dan Selznick best time? | SELECT best FROM table_name_63 WHERE name = 'dan selznick' | CREATE TABLE table_name_63 (best VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 42672
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.