Datasets:
AayushShah
/
Univeral_SQL_Three_Datasets_Combined_WithText_IDs

Dataset card Data Studio Files
xet
 Community
1
NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
What is the venue of the match that had a win result and a score of 0-4 in the 2002 Tiger Cup Group Stage?
SELECT venue FROM table_name_33 WHERE result = "win" AND competition = "2002 tiger cup group stage" AND score = "0-4"
CREATE TABLE table_name_33 (venue VARCHAR, score VARCHAR, result VARCHAR, competition VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 15098, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 2259, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 5669, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 741, 3274, 96, 3757, 121, 3430, 2259, 3274, 96, 24898, 3, 17, 4424, 4119, 563, 1726, 121, 3430, 2604, 3274, 96, 9498, 20364, 1, -100, -100, -100, -100, -100, ...
What is the score of the match on July 22, 2008?
SELECT score FROM table_name_98 WHERE date = "july 22, 2008"
CREATE TABLE table_name_98 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 13, 8, 1588, 30, 1718, 12889, 2628, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 833, 3274, 96, 2047, 120, 12889, 2628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the score of the 2002 Tiger Cup third/fourth place match?
SELECT score FROM table_name_16 WHERE competition = "2002 tiger cup third/fourth place"
CREATE TABLE table_name_16 (score VARCHAR, competition VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 7, 9022, 584, 4280, 28027, 6, 2259, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 13, 8, 4407, 11804, 3802, 1025, 87, 12521, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 2259, 3274, 96, 24898, 3, 17, 4424, 4119, 1025, 87, 12521, 189, 286, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the competition on October 15, 2008?
SELECT competition FROM table_name_37 WHERE date = "october 15, 2008"
CREATE TABLE table_name_37 (competition VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 287, 4995, 4749, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2259, 30, 1797, 10725, 2628, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2259, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 833, 3274, 96, 32, 75, 235, 1152, 10725, 2628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the player that went to st. benedict's prep?
SELECT player FROM table_name_61 WHERE school = "st. benedict's prep"
CREATE TABLE table_name_61 (player VARCHAR, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 20846, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1959, 24, 877, 12, 3, 7, 17, 5, 3, 15719, 12194, 31...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 496, 3274, 96, 7, 17, 5, 3, 15719, 12194, 31, 7, 13422, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the NBA draft for ohio state?
SELECT nba_draft FROM table_name_58 WHERE college = "ohio state"
CREATE TABLE table_name_58 (nba_draft VARCHAR, college VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 29, 115, 9, 834, 26, 10913, 584, 4280, 28027, 6, 1900, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 14512, 6488, 21, 3, 32, 107, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 29, 115, 9, 834, 26, 10913, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 1900, 3274, 96, 32, 107, 23, 32, 538, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What school did the player that is 6-6 go to?
SELECT school FROM table_name_69 WHERE height = "6-6"
CREATE TABLE table_name_69 (school VARCHAR, height VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 6646, 584, 4280, 28027, 6, 3902, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 496, 410, 8, 1959, 24, 19, 431, 5783, 281, 12, 58, 1, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 496, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 3902, 3274, 96, 948, 5783, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What school did samardo samuels go to?
SELECT school FROM table_name_28 WHERE player = "samardo samuels"
CREATE TABLE table_name_28 (school VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 6646, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 496, 410, 3, 7, 265, 986, 32, 3, 7, 265, 76, 3573, 281, 12...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 496, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 1959, 3274, 96, 7, 265, 986, 32, 3, 7, 265, 76, 3573, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the final for middleweight –75 kg?
SELECT final FROM table_name_88 WHERE event = "middleweight –75 kg"
CREATE TABLE table_name_88 (final VARCHAR, event VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 12406, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 804, 21, 2214, 9378, 3, 104, 3072, 9147, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 804, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 605, 3274, 96, 51, 23, 8437, 9378, 3, 104, 3072, 9147, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For the light heavyweight –81 kg event that did not advance to semifinal, who was the athlete?
SELECT athlete FROM table_name_26 WHERE semifinal = "did not advance" AND event = "light heavyweight –81 kg"
CREATE TABLE table_name_26 (athlete VARCHAR, semifinal VARCHAR, event VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 26170, 15, 584, 4280, 28027, 6, 27504, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 242, 8, 659, 2437, 9378, 3, 104, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 17893, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 27504, 3274, 96, 12416, 59, 3245, 121, 3430, 605, 3274, 96, 2242, 2437, 9378, 3, 104, 4959, 9147, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the final for rouhollah hosseini?
SELECT final FROM table_name_78 WHERE athlete = "rouhollah hosseini"
CREATE TABLE table_name_78 (final VARCHAR, athlete VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 12406, 584, 4280, 28027, 6, 17893, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 804, 21, 3, 3964, 2831, 521, 107, 3, 11982, 7, 2455...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 804, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 17893, 3274, 96, 3964, 2831, 521, 107, 3, 11982, 7, 2455, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When the round of 32 was n/a and quarterfinal was did not advance, what was the round of 16?
SELECT round_of_16 FROM table_name_75 WHERE quarterfinal = "did not advance" AND round_of_32 = "n/a"
CREATE TABLE table_name_75 (round_of_16 VARCHAR, quarterfinal VARCHAR, round_of_32 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 7775, 834, 858, 834, 2938, 584, 4280, 28027, 6, 2893, 12406, 584, 4280, 28027, 6, 1751, 834, 858, 834, 2668, 584, 4280, 28027, 61, 3, 32105, 32106, 32107...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1751, 834, 858, 834, 2938, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 2893, 12406, 3274, 96, 12416, 59, 3245, 121, 3430, 1751, 834, 858, 834, 2668, 3274, 96, 29, 87, 9, 121, 1, -100, -100, -100, -100, -100, ...
Can you tell me the Home team that has a Venue of Windy Hill?
SELECT home_team FROM table_name_17 WHERE venue = "windy hill"
CREATE TABLE table_name_17 (home_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1072, 25, 817, 140, 8, 1210, 372, 24, 65, 3, 9, 29940...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 5669, 3274, 96, 5165, 63, 9956, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the lowest attendance at a game when Pittsburgh was the home team?
SELECT MIN(attendance) FROM table_name_68 WHERE home = "pittsburgh"
CREATE TABLE table_name_68 (attendance INTEGER, home VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 15116, 663, 3, 21342, 17966, 6, 234, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 7402, 11364, 44, 3, 9, 467, 116, 16226, 47, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 234, 3274, 96, 5230, 17, 7289, 107, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the date of the game when Atlanta was the home team?
SELECT date FROM table_name_81 WHERE home = "atlanta"
CREATE TABLE table_name_81 (date VARCHAR, home VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 5522, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 833, 13, 8, 467, 116, 9673, 47, 8, 234, 372, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 234, 3274, 96, 144, 6761, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the decision of the game when Montreal was the home team?
SELECT decision FROM table_name_90 WHERE home = "montreal"
CREATE TABLE table_name_90 (decision VARCHAR, home VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 221, 18901, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1357, 13, 8, 467, 116, 17219, 47, 8, 234, 372, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1357, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 234, 3274, 96, 4662, 6644, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the date of the game with a decision of Niittymaki and when the Flyers had a record of 30–21–5?
SELECT date FROM table_name_26 WHERE decision = "niittymaki" AND record = "30–21–5"
CREATE TABLE table_name_26 (date VARCHAR, decision VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 5522, 584, 4280, 28027, 6, 1357, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 833, 13, 8, 467, 28, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 1357, 3274, 96, 29, 23, 17132, 51, 11259, 121, 3430, 1368, 3274, 96, 1458, 104, 2658, 104, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Position has a Nationality of united states, and a Pick of 9?
SELECT position FROM table_name_19 WHERE nationality = "united states" AND pick = 9
CREATE TABLE table_name_19 (position VARCHAR, nationality VARCHAR, pick VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 4718, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 14258, 65, 3, 9, 868, 485, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1102, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 1157, 485, 3274, 96, 15129, 15, 26, 2315, 121, 3430, 1432, 3274, 668, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the average Pick with a Position of pg, and a Round less than 1?
SELECT AVG(pick) FROM table_name_14 WHERE position = "pg" AND round < 1
CREATE TABLE table_name_14 (pick INTEGER, position VARCHAR, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 17967, 3, 21342, 17966, 6, 1102, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 8356, 28, 3, 9, 1425...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 17967, 61, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 1102, 3274, 96, 102, 122, 121, 3430, 1751, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which top ten, having less than 12 cuts less than 2 top five, and events smaller than 14, is the highest?
SELECT MAX(top_10) FROM table_name_92 WHERE cuts_made < 12 AND top_5 < 2 AND events < 14
CREATE TABLE table_name_92 (top_10 INTEGER, events VARCHAR, cuts_made VARCHAR, top_5 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 2916, 834, 1714, 3, 21342, 17966, 6, 984, 584, 4280, 28027, 6, 8620, 834, 4725, 584, 4280, 28027, 6, 420, 834, 755, 584, 4280, 28027, 61, 3, 32105, 321...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 2916, 834, 16968, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 8620, 834, 4725, 3, 2, 586, 3430, 420, 834, 755, 3, 2, 204, 3430, 984, 3, 2, 968, 1, -100, -100, -100, -100, -100, -100, -100, -...
What is the average for the top five having a number of 42 cuts made.
SELECT AVG(top_5) FROM table_name_79 WHERE cuts_made = 42
CREATE TABLE table_name_79 (top_5 INTEGER, cuts_made VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 2916, 834, 755, 3, 21342, 17966, 6, 8620, 834, 4725, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 21, 8, 420, 874, 578, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 2916, 834, 9120, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 8620, 834, 4725, 3274, 6426, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Tell me the score on april 27 with visitor of buffalo
SELECT score FROM table_name_8 WHERE visitor = "buffalo" AND date = "april 27"
CREATE TABLE table_name_8 (score VARCHAR, visitor VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 7, 9022, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 2604, 30, 3, 9, 2246, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 7019, 3274, 96, 115, 2999, 138, 32, 121, 3430, 833, 3274, 96, 9, 2246, 40, 2307, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many people attended Melbourne's away game?
SELECT SUM(crowd) FROM table_name_4 WHERE away_team = "melbourne"
CREATE TABLE table_name_4 (crowd INTEGER, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 75, 3623, 26, 3, 21342, 17966, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 151, 5526, 9396, 31, 7, 550, 467, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 550, 834, 11650, 3274, 96, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who won the game at Dairy farmers stadium with a score of 28-24?
SELECT result FROM table_name_66 WHERE venue = "dairy farmers stadium" AND score = "28-24"
CREATE TABLE table_name_66 (result VARCHAR, venue VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 751, 8, 467, 44, 878, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 5669, 3274, 96, 26, 2256, 63, 7208, 14939, 121, 3430, 2604, 3274, 96, 2577, 14962, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who won that game on 24 July 2010?
SELECT result FROM table_name_26 WHERE date = "24 july 2010"
CREATE TABLE table_name_26 (result VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 751, 24, 467, 30, 997, 1718, 2735, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 833, 3274, 96, 2266, 3, 2047, 120, 2735, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who loss the 24-28 game?
SELECT opponent FROM table_name_20 WHERE result = "loss" AND score = "24-28"
CREATE TABLE table_name_20 (opponent VARCHAR, result VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 32, 102, 9977, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 1453, 8, 12371, 2577, 467,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 741, 3274, 96, 2298, 7, 121, 3430, 2604, 3274, 96, 2266, 18, 2577, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who scored 18-19?
SELECT opponent FROM table_name_69 WHERE score = "18-19"
CREATE TABLE table_name_69 (opponent VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 32, 102, 9977, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 5799, 507, 4481, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 2604, 3274, 96, 2606, 4481, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which rank has more than 1 silver and a total nation?
SELECT rank FROM table_name_1 WHERE silver > 1 AND nation = "total"
CREATE TABLE table_name_1 (rank VARCHAR, silver VARCHAR, nation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 6254, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 6, 2982, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 11003, 65, 72, 145, 209, 4294, 11, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11003, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 4294, 2490, 209, 3430, 2982, 3274, 96, 235, 1947, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest total from slovenia with a Gold smaller than 0?
SELECT MIN(total) FROM table_name_79 WHERE nation = "slovenia" AND gold < 0
CREATE TABLE table_name_79 (total INTEGER, nation VARCHAR, gold VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 235, 1947, 3, 21342, 17966, 6, 2982, 584, 4280, 28027, 6, 2045, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 792, 45, 3, 7, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 235, 1947, 61, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 2982, 3274, 96, 7, 5850, 18242, 121, 3430, 2045, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What class has less than 12 numbers built operated by southern?
SELECT class FROM table_name_1 WHERE no_built < 12 AND operator = "southern"
CREATE TABLE table_name_1 (class VARCHAR, no_built VARCHAR, operator VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 4057, 584, 4280, 28027, 6, 150, 834, 16152, 584, 4280, 28027, 6, 7221, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 853, 65, 705, 145, 586, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 853, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 150, 834, 16152, 3, 2, 586, 3430, 7221, 3274, 96, 7, 670, 760, 29, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the episode for viewers bigger than 5.63 and the households rating is 4.5/7
SELECT episode FROM table_name_62 WHERE viewers__m_ > 5.63 AND households__rating_share_ = "4.5/7"
CREATE TABLE table_name_62 (episode VARCHAR, viewers__m_ VARCHAR, households__rating_share_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 15, 102, 159, 32, 221, 584, 4280, 28027, 6, 13569, 834, 834, 51, 834, 584, 4280, 28027, 6, 15802, 834, 834, 52, 1014, 834, 12484, 834, 584, 4280, 28027...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 5640, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 13569, 834, 834, 51, 834, 2490, 3594, 3891, 3430, 15802, 834, 834, 52, 1014, 834, 12484, 834, 3274, 96, 12451, 21766, 121, 1, -100, -100, -100, -100, -100, -100...
Name the 18-49 rating for weekly rank of 30
SELECT 18 AS _49__rating_share_ FROM table_name_1 WHERE weekly_rank___number_ = "30"
CREATE TABLE table_name_1 (weekly_rank___number_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 8041, 120, 834, 6254, 834, 834, 834, 5525, 1152, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 507, 18, 3647, 5773, 21, 5547, 11003, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 507, 6157, 3, 834, 3647, 834, 834, 52, 1014, 834, 12484, 834, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 5547, 834, 6254, 834, 834, 834, 5525, 1152, 834, 3274, 96, 1458, 121, 1, -100, -100, -100, -100, -100, ...
Who was the driver with 29 laps?
SELECT driver FROM table_name_39 WHERE laps = "29"
CREATE TABLE table_name_39 (driver VARCHAR, laps VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 13739, 52, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 2535, 28, 2838, 14941, 7, 58, 1, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2535, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 14941, 7, 3274, 96, 3166, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the retired time for someone who was on grid 18?
SELECT time_retired FROM table_name_76 WHERE grid = "18"
CREATE TABLE table_name_76 (time_retired VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 10611, 97, 21, 841, 113, 47, 30, 863...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 97, 834, 10682, 1271, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 8634, 3274, 96, 2606, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Jacques Villeneuve was on what grid?
SELECT grid FROM table_name_84 WHERE driver = "jacques villeneuve"
CREATE TABLE table_name_84 (grid VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 3496, 26, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3, 17453, 15626, 26445, 47, 30, 125, 8634, 58, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 8634, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 2535, 3274, 96, 1191, 75, 7771, 3, 1420, 26445, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What's the time for someone on grid 9?
SELECT time_retired FROM table_name_34 WHERE grid = "9"
CREATE TABLE table_name_34 (time_retired VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 97, 21, 841, 30, 8634, 668, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 97, 834, 10682, 1271, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 8634, 3274, 96, 1298, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the grid of Alex Yoong?
SELECT grid FROM table_name_77 WHERE driver = "alex yoong"
CREATE TABLE table_name_77 (grid VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 3496, 26, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 8634, 13, 5104, 6545, 2444, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 8634, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 2535, 3274, 96, 138, 994, 3, 63, 32, 2444, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What date was the game played at Lake Oval?
SELECT date FROM table_name_80 WHERE venue = "lake oval"
CREATE TABLE table_name_80 (date VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 5522, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 833, 47, 8, 467, 1944, 44, 2154, 411, 2165, 58, 1, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 5669, 3274, 96, 16948, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many people came to the game at Victoria Park?
SELECT COUNT(crowd) FROM table_name_17 WHERE venue = "victoria park"
CREATE TABLE table_name_17 (crowd VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 75, 3623, 26, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 151, 764, 12, 8, 467, 44, 7488, 1061, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 5669, 3274, 96, 7287, 3600, 9, 2447, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who lost to moyer (9–4)?
SELECT opponent FROM table_name_26 WHERE loss = "moyer (9–4)"
CREATE TABLE table_name_26 (opponent VARCHAR, loss VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 32, 102, 9977, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 1513, 12, 2288, 7975, 14156, 104, 7256, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 1453, 3274, 96, 51, 32, 7975, 14156, 104, 7256, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many people attended when the record was broken with 47–63?
SELECT attendance FROM table_name_38 WHERE record = "47–63"
CREATE TABLE table_name_38 (attendance VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 15116, 663, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 151, 5526, 116, 8, 1368, 47, 4335, 28, 10635, 104, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11364, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 1368, 3274, 96, 4177, 104, 3891, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the score of the home team that played Collingwood?
SELECT home_team AS score FROM table_name_70 WHERE away_team = "collingwood"
CREATE TABLE table_name_70 (home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 13, 8, 234, 372, 24, 194...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 550, 834, 11650, 3274, 96, 3297, 697, 2037, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who was the visitor when ward recorded the decision with a record of 22–21–4?
SELECT visitor FROM table_name_4 WHERE decision = "ward" AND record = "22–21–4"
CREATE TABLE table_name_4 (visitor VARCHAR, decision VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 3466, 155, 127, 584, 4280, 28027, 6, 1357, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 7019, 116, 3, 22...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 7019, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 1357, 3274, 96, 2239, 121, 3430, 1368, 3274, 96, 2884, 104, 2658, 104, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the score of the game when they had a record of 22–19–4?
SELECT score FROM table_name_77 WHERE record = "22–19–4"
CREATE TABLE table_name_77 (score VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 7, 9022, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 13, 8, 467, 116, 79, 141, 3, 9, 1368, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 1368, 3274, 96, 2884, 104, 2294, 104, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the 1st week sales for the album finding forever before the number 6?
SELECT SUM(1 AS st_week_sales) FROM table_name_51 WHERE album = "finding forever" AND number < 6
CREATE TABLE table_name_51 (album VARCHAR, number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 23703, 584, 4280, 28027, 6, 381, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 209, 7, 17, 471, 1085, 21, 8, 2306, 2342, 6276, 274, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 536, 6157, 3, 7, 17, 834, 8041, 834, 7, 4529, 61, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 2306, 3274, 96, 8954, 53, 6276, 121, 3430, 381, 3, 2, 431, 1, -100, -100, -100, -100, -100, -1...
What is the sum number of grid where time/retired is 2:41:38.4 and laps were more than 40?
SELECT COUNT(grid) FROM table_name_60 WHERE time_retired = "2:41:38.4" AND laps > 40
CREATE TABLE table_name_60 (grid VARCHAR, time_retired VARCHAR, laps VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 3496, 26, 584, 4280, 28027, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 45...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 3496, 26, 61, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 97, 834, 10682, 1271, 3274, 96, 357, 10, 4853, 10, 3747, 5, 20364, 3430, 14941, 7, 2490, 1283, 1, -100, -100, -100, -100, -100, -100...
Which constructor had laps amounting to more than 21 where the driver was John Surtees?
SELECT constructor FROM table_name_14 WHERE laps > 21 AND driver = "john surtees"
CREATE TABLE table_name_14 (constructor VARCHAR, laps VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 15982, 5317, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6774, 127, 141, 14941, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 6774, 127, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 14941, 7, 2490, 1401, 3430, 2535, 3274, 96, 27341, 244, 17, 15, 15, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many laps did Jo Bonnier driver when the grid number was smaller than 11?
SELECT SUM(laps) FROM table_name_6 WHERE driver = "jo bonnier" AND grid < 11
CREATE TABLE table_name_6 (laps INTEGER, driver VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 8478, 7, 3, 21342, 17966, 6, 2535, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 14941, 7, 410, 2194, 29203, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 8478, 7, 61, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 2535, 3274, 96, 1927, 2682, 8632, 121, 3430, 8634, 3, 2, 850, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many laps were there when time/retired was gearbox?
SELECT SUM(laps) FROM table_name_53 WHERE time_retired = "gearbox"
CREATE TABLE table_name_53 (laps INTEGER, time_retired VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 8478, 7, 3, 21342, 17966, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 14941, 7, 130, 132, 116, 97, 87, 1068...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 8478, 7, 61, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 97, 834, 10682, 1271, 3274, 96, 397, 291, 2689, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many were in attendance at the game where the visiting team was the Jazz?
SELECT SUM(attendance) FROM table_name_67 WHERE visitor = "jazz"
CREATE TABLE table_name_67 (attendance INTEGER, visitor VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 15116, 663, 3, 21342, 17966, 6, 7019, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 130, 16, 11364, 44, 8, 467, 213, 8, 3644, 372, 47,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 7019, 3274, 96, 1191, 5271, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who did the Chiefs play at the game attended by 34,063?
SELECT opponent FROM table_name_82 WHERE attendance = "34,063"
CREATE TABLE table_name_82 (opponent VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 32, 102, 9977, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 410, 8, 5116, 7, 577, 44, 8, 467, 5526, 57, 6154,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 11364, 3274, 96, 3710, 6, 632, 3891, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which week's game was attended by 33,057 people?
SELECT week FROM table_name_48 WHERE attendance = "33,057"
CREATE TABLE table_name_48 (week VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 8041, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 471, 31, 7, 467, 47, 5526, 57, 5400, 6, 632, 3436, 151, 58...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 471, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 11364, 3274, 96, 4201, 6, 632, 3436, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what is the organisation when the year is less than 2005 and the award is the best variety show host?
SELECT organisation FROM table_name_84 WHERE year < 2005 AND award = "best variety show host"
CREATE TABLE table_name_84 (organisation VARCHAR, year VARCHAR, award VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 10832, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 2760, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 5102, 116, 8, 215, 19, 705...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5102, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 215, 3, 2, 3105, 3430, 2760, 3274, 96, 9606, 1196, 504, 2290, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the organisation when the nominated work title is n/a in the year 2005?
SELECT organisation FROM table_name_79 WHERE nominated_work_title = "n/a" AND year = 2005
CREATE TABLE table_name_79 (organisation VARCHAR, nominated_work_title VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 10832, 584, 4280, 28027, 6, 150, 1109, 920, 834, 1981, 834, 21869, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 5102, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 150, 1109, 920, 834, 1981, 834, 21869, 3274, 96, 29, 87, 9, 121, 3430, 215, 3274, 3105, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
what is the lowest year with the result is nominated for the work title is love bites?
SELECT MIN(year) FROM table_name_99 WHERE result = "nominated" AND nominated_work_title = "love bites"
CREATE TABLE table_name_99 (year INTEGER, result VARCHAR, nominated_work_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 1201, 3, 21342, 17966, 6, 741, 584, 4280, 28027, 6, 150, 1109, 920, 834, 1981, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 1201, 61, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 741, 3274, 96, 3114, 77, 920, 121, 3430, 150, 1109, 920, 834, 1981, 834, 21869, 3274, 96, 5850, 15, 9133, 7, 121, 1, -100, -100, -100, -1...
what is the year when then organisation is star awards, the result is won and the nominated work title is n/a?
SELECT year FROM table_name_98 WHERE organisation = "star awards" AND result = "won" AND nominated_work_title = "n/a"
CREATE TABLE table_name_98 (year VARCHAR, nominated_work_title VARCHAR, organisation VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 1201, 584, 4280, 28027, 6, 150, 1109, 920, 834, 1981, 834, 21869, 584, 4280, 28027, 6, 5102, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 215, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 5102, 3274, 96, 3624, 6120, 121, 3430, 741, 3274, 96, 210, 106, 121, 3430, 150, 1109, 920, 834, 1981, 834, 21869, 3274, 96, 29, 87, 9, 121, 1, -100, -100, -1...
what is the latest year that has the result of nominated and the nominated work title is n/a?
SELECT MAX(year) FROM table_name_85 WHERE result = "nominated" AND nominated_work_title = "n/a"
CREATE TABLE table_name_85 (year INTEGER, result VARCHAR, nominated_work_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 1201, 3, 21342, 17966, 6, 741, 584, 4280, 28027, 6, 150, 1109, 920, 834, 1981, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 1201, 61, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 741, 3274, 96, 3114, 77, 920, 121, 3430, 150, 1109, 920, 834, 1981, 834, 21869, 3274, 96, 29, 87, 9, 121, 1, -100, -100, -100, -100, -100,...
what is the nominated work title when the result is won, the organisation is star awards and the award is top 10 most popular female artiste in the year 2007?
SELECT nominated_work_title FROM table_name_52 WHERE result = "won" AND organisation = "star awards" AND award = "top 10 most popular female artiste" AND year > 2007
CREATE TABLE table_name_52 (nominated_work_title VARCHAR, year VARCHAR, award VARCHAR, result VARCHAR, organisation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 3114, 77, 920, 834, 1981, 834, 21869, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 2760, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 5102, 584, 42...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 150, 1109, 920, 834, 1981, 834, 21869, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 741, 3274, 96, 210, 106, 121, 3430, 5102, 3274, 96, 3624, 6120, 121, 3430, 2760, 3274, 96, 2916, 335, 167, 1012, 3955, 3, 205...
What is the rank of the games that had 9 gold and 9 silvers?
SELECT rank FROM table_name_47 WHERE gold = "9" AND silver = "9"
CREATE TABLE table_name_47 (rank VARCHAR, gold VARCHAR, silver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 6254, 584, 4280, 28027, 6, 2045, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 11003, 13, 8, 1031, 24, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11003, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 2045, 3274, 96, 1298, 121, 3430, 4294, 3274, 96, 1298, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many golds were there in a game that has 17 bronze and a total of 31?
SELECT gold FROM table_name_8 WHERE bronze = "17" AND total = "31"
CREATE TABLE table_name_8 (gold VARCHAR, bronze VARCHAR, total VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 14910, 584, 4280, 28027, 6, 13467, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 2045, 7, 130, 132, 16, 3, 9,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2045, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 13467, 3274, 96, 2517, 121, 3430, 792, 3274, 96, 3341, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which game had 8 bronze and 4 gold?
SELECT games FROM table_name_61 WHERE bronze = "8" AND gold = "4"
CREATE TABLE table_name_61 (games VARCHAR, bronze VARCHAR, gold VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 7261, 7, 584, 4280, 28027, 6, 13467, 584, 4280, 28027, 6, 2045, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 467, 141, 505, 13467, 11, 314,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1031, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 13467, 3274, 96, 927, 121, 3430, 2045, 3274, 96, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When did San Jose visit the St. Louis?
SELECT date FROM table_name_91 WHERE visitor = "san jose"
CREATE TABLE table_name_91 (date VARCHAR, visitor VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 5522, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 410, 1051, 10854, 719, 8, 472, 5, 5181, 58, 1, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 7019, 3274, 96, 7, 152, 7406, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many total wins with the latest win at the 1999 Italian Grand Prix at a rank of 15?
SELECT SUM(wins) FROM table_name_12 WHERE latest_win = "1999 italian grand prix" AND rank > 15
CREATE TABLE table_name_12 (wins INTEGER, latest_win VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 3757, 7, 3, 21342, 17966, 6, 1251, 834, 3757, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 792, 9204, 28, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 1251, 834, 3757, 3274, 96, 2294, 3264, 24168, 1907, 3407, 121, 3430, 11003, 2490, 627, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the rank 6 lowest win who's first win was at the 1950 British Grand Prix?
SELECT MIN(wins) FROM table_name_46 WHERE rank > 6 AND first_win = "1950 british grand prix"
CREATE TABLE table_name_46 (wins INTEGER, rank VARCHAR, first_win VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 3757, 7, 3, 21342, 17966, 6, 11003, 584, 4280, 28027, 6, 166, 834, 3757, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 11003, 431, 7...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 11003, 2490, 431, 3430, 166, 834, 3757, 3274, 96, 2294, 1752, 3, 2160, 17, 1273, 1907, 3407, 121, 1, -100, -100, -100, -100, -100, -100,...
What is the rank 16 wins with the latest win at the 1967 Belgian Grand Prix?
SELECT wins FROM table_name_47 WHERE rank > 16 AND latest_win = "1967 belgian grand prix"
CREATE TABLE table_name_47 (wins VARCHAR, rank VARCHAR, latest_win VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 3757, 7, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 6, 1251, 834, 3757, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 11003, 898, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 9204, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 11003, 2490, 898, 3430, 1251, 834, 3757, 3274, 96, 2294, 3708, 36, 40, 22898, 1907, 3407, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What's the lowest pick for a defensive back at Drake?
SELECT MIN(pick) FROM table_name_99 WHERE position = "defensive back" AND school = "drake"
CREATE TABLE table_name_99 (pick INTEGER, position VARCHAR, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 17967, 3, 21342, 17966, 6, 1102, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 7402, 1432, 21, 3, 9, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 17967, 61, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 1102, 3274, 96, 221, 23039, 15, 223, 121, 3430, 496, 3274, 96, 3515, 1050, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What's terry jones' lowest pick?
SELECT MIN(pick) FROM table_name_11 WHERE player = "terry jones"
CREATE TABLE table_name_11 (pick INTEGER, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 17967, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 3, 449, 651, 3, 1927, 1496, 31, 7402, 1432, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 17967, 61, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 1959, 3274, 96, 449, 651, 3, 1927, 1496, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What position does gerald carter play?
SELECT position FROM table_name_52 WHERE player = "gerald carter"
CREATE TABLE table_name_52 (position VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 4718, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1102, 405, 3, 1304, 138, 26, 3329, 52, 577, 58, 1, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1102, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 1959, 3274, 96, 1304, 138, 26, 3329, 52, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who is the guard for Wisconsin?
SELECT player FROM table_name_44 WHERE position = "guard" AND school = "wisconsin"
CREATE TABLE table_name_44 (player VARCHAR, position VARCHAR, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 20846, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 4879, 21, 10212, 58, 1, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 1102, 3274, 96, 11010, 121, 3430, 496, 3274, 96, 210, 159, 8056, 77, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which player is Pick 33 and has a Nationality of USA?
SELECT player FROM table_name_31 WHERE nationality = "usa" AND pick = 33
CREATE TABLE table_name_31 (player VARCHAR, nationality VARCHAR, pick VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 20846, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1959, 19, 8356, 5400, 11, 65...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 1157, 485, 3274, 96, 302, 9, 121, 3430, 1432, 3274, 5400, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the nationality of the player who has a pick lower than 33 and a School/Club Team of Vanderbilt?
SELECT nationality FROM table_name_94 WHERE pick < 33 AND school_club_team = "vanderbilt"
CREATE TABLE table_name_94 (nationality VARCHAR, pick VARCHAR, school_club_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 16557, 485, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 6, 496, 834, 13442, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1157, 485, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 1432, 3, 2, 5400, 3430, 496, 834, 13442, 834, 11650, 3274, 96, 2132, 588, 3727, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the nationality of the player who had the pick of 52 and plays for the NBA team of Phoenix Suns?
SELECT nationality FROM table_name_15 WHERE nba_team = "phoenix suns" AND pick = 52
CREATE TABLE table_name_15 (nationality VARCHAR, nba_team VARCHAR, pick VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 16557, 485, 584, 4280, 28027, 6, 3, 29, 115, 9, 834, 11650, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1157, 485, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 3, 29, 115, 9, 834, 11650, 3274, 96, 9553, 35, 2407, 1997, 7, 121, 3430, 1432, 3274, 9065, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many leage apperances for the player with one FA cup, and a FLT Apps of 0 (1)?
SELECT league_apps FROM table_name_61 WHERE fa_cup_apps = "1" AND flt_apps = "0 (1)"
CREATE TABLE table_name_61 (league_apps VARCHAR, fa_cup_apps VARCHAR, flt_apps VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 29512, 834, 3096, 7, 584, 4280, 28027, 6, 3, 89, 9, 834, 4658, 834, 3096, 7, 584, 4280, 28027, 6, 3, 89, 40, 17, 834, 3096, 7, 584, 4280, 28027, 61...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 5533, 834, 3096, 7, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 3, 89, 9, 834, 4658, 834, 3096, 7, 3274, 96, 536, 121, 3430, 3, 89, 40, 17, 834, 3096, 7, 3274, 96, 632, 5637, 121, 1, -100, -100, -100, -...
What day did St Kilda play as the away team?
SELECT date FROM table_name_53 WHERE away_team = "st kilda"
CREATE TABLE table_name_53 (date VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 5522, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 239, 410, 472, 12672, 26, 9, 577, 38, 8, 550, 372...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 550, 834, 11650, 3274, 96, 7, 17, 3, 157, 173, 26, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the value for 2007 when 2011 is a and 2009 is q2?
SELECT 2007 FROM table_name_12 WHERE 2011 = "a" AND 2009 = "q2"
CREATE TABLE table_name_12 (Id VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 196, 26, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 701, 21, 4101, 116, 2722, 19, 3, 9, 11, 2464, 19, 3, 1824, 357, 58, 1,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4101, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 2722, 3274, 96, 9, 121, 3430, 2464, 3274, 96, 1824, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Tell me the highest league goals with total goals less than 1 and FA cups more than 0
SELECT MAX(league_goals) FROM table_name_67 WHERE total_goals < 1 AND fa_cup_goals > 0
CREATE TABLE table_name_67 (league_goals INTEGER, total_goals VARCHAR, fa_cup_goals VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 29512, 834, 839, 5405, 3, 21342, 17966, 6, 792, 834, 839, 5405, 584, 4280, 28027, 6, 3, 89, 9, 834, 4658, 834, 839, 5405, 584, 4280, 28027, 61, 3, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 29512, 834, 839, 5405, 61, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 792, 834, 839, 5405, 3, 2, 209, 3430, 3, 89, 9, 834, 4658, 834, 839, 5405, 2490, 3, 632, 1, -100, -100, -100, -100, -10...
I want to know the sum of fa cup goals for david mirfin and total goals less than 1
SELECT SUM(fa_cup_goals) FROM table_name_59 WHERE name = "david mirfin" AND total_goals < 1
CREATE TABLE table_name_59 (fa_cup_goals INTEGER, name VARCHAR, total_goals VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 89, 9, 834, 4658, 834, 839, 5405, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 6, 792, 834, 839, 5405, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 89, 9, 834, 4658, 834, 839, 5405, 61, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 564, 3274, 96, 26, 9, 6961, 1870, 89, 77, 121, 3430, 792, 834, 839, 5405, 3, 2, 209, 1, -100, -100, -100, ...
Tell me the league apps with league goals less than 2 and position of df and FA cup apps of 5
SELECT league_apps FROM table_name_35 WHERE league_goals < 2 AND position = "df" AND fa_cup_apps = "5"
CREATE TABLE table_name_35 (league_apps VARCHAR, fa_cup_apps VARCHAR, league_goals VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 29512, 834, 3096, 7, 584, 4280, 28027, 6, 3, 89, 9, 834, 4658, 834, 3096, 7, 584, 4280, 28027, 6, 5533, 834, 839, 5405, 584, 4280, 28027, 6, 1102, 58...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 5533, 834, 3096, 7, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 5533, 834, 839, 5405, 3, 2, 204, 3430, 1102, 3274, 96, 26, 89, 121, 3430, 3, 89, 9, 834, 4658, 834, 3096, 7, 3274, 96, 17395, 1, -100, -100,...
What is the video ratio on channel 14.2?
SELECT video FROM table_name_75 WHERE channel = 14.2
CREATE TABLE table_name_75 (video VARCHAR, channel VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 17241, 584, 4280, 28027, 6, 4245, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 671, 5688, 30, 4245, 9264, 357, 58, 1, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 671, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 4245, 3274, 9264, 357, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What network has an aspect of 4:3 and a PSIP Short Name of qvc?
SELECT network FROM table_name_80 WHERE aspect = "4:3" AND psip_short_name = "qvc"
CREATE TABLE table_name_80 (network VARCHAR, aspect VARCHAR, psip_short_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 1582, 1981, 584, 4280, 28027, 6, 2663, 584, 4280, 28027, 6, 3, 102, 7, 23, 102, 834, 7, 14184, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1229, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 2663, 3274, 96, 591, 10, 519, 121, 3430, 3, 102, 7, 23, 102, 834, 7, 14184, 834, 4350, 3274, 96, 1824, 208, 75, 121, 1, -100, -100, -100, -100, -100, -100, ...
What is ion life network's PSIP Short Name?
SELECT psip_short_name FROM table_name_58 WHERE network = "ion life"
CREATE TABLE table_name_58 (psip_short_name VARCHAR, network VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 102, 7, 23, 102, 834, 7, 14184, 834, 4350, 584, 4280, 28027, 6, 1229, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 3, 23, 106, 280, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 102, 7, 23, 102, 834, 7, 14184, 834, 4350, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 1229, 3274, 96, 23, 106, 280, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the sum of channels for qubo network?
SELECT SUM(channel) FROM table_name_65 WHERE network = "qubo"
CREATE TABLE table_name_65 (channel INTEGER, network VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 19778, 3, 21342, 17966, 6, 1229, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 13, 6047, 21, 546, 115, 32, 1229, 58, 1, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 19778, 61, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 1229, 3274, 96, 2436, 115, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many deaths did eseta cause?
SELECT deaths FROM table_name_34 WHERE name = "eseta"
CREATE TABLE table_name_34 (deaths VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 221, 9, 189, 7, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 14319, 410, 3, 15, 2244, 9, 1137, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 14319, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 564, 3274, 96, 15, 2244, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the date when the away team was Carlton?
SELECT date FROM table_name_65 WHERE away_team = "carlton"
CREATE TABLE table_name_65 (date VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 5522, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 833, 116, 8, 550, 372, 47, 3, 30339, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 550, 834, 11650, 3274, 96, 1720, 7377, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When the home team was hawthorn, what was the date?
SELECT date FROM table_name_44 WHERE home_team = "hawthorn"
CREATE TABLE table_name_44 (date VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 5522, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 8, 234, 372, 47, 4244, 210, 17, 6293, 6, 125, 47,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 234, 834, 11650, 3274, 96, 1024, 210, 17, 6293, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What did Geelong score as the away team?
SELECT away_team AS score FROM table_name_91 WHERE away_team = "geelong"
CREATE TABLE table_name_91 (away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 8006, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 410, 961, 15, 2961, 2604, 38, 8, 550, 372, 58, 1, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 550, 834, 11650, 3274, 96, 397, 15, 2961, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What date did the home team of footscray play?
SELECT date FROM table_name_85 WHERE home_team = "footscray"
CREATE TABLE table_name_85 (date VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 5522, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 833, 410, 8, 234, 372, 13, 2418, 7, 2935, 63, 577...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 234, 834, 11650, 3274, 96, 6259, 7, 2935, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the club team for overall of 188 for canada
SELECT club_team FROM table_name_72 WHERE nationality = "canada" AND overall = 188
CREATE TABLE table_name_72 (club_team VARCHAR, nationality VARCHAR, overall VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 13442, 834, 11650, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 1879, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 1886, 372, 21...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1886, 834, 11650, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 1157, 485, 3274, 96, 658, 18089, 121, 3430, 1879, 3274, 3, 25794, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the nationality of the player with an overall of 74
SELECT nationality FROM table_name_66 WHERE overall = 74
CREATE TABLE table_name_66 (nationality VARCHAR, overall VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 16557, 485, 584, 4280, 28027, 6, 1879, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 1157, 485, 13, 8, 1959, 28, 46, 1879, 13, 3, 4581,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1157, 485, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 1879, 3274, 3, 4581, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the highest Aug 2013 with a Nov 2011 smaller than 968, and a Jul 2012 with 31, and a Jun 2011 larger than 30?
SELECT MAX(aug_2013) FROM table_name_27 WHERE nov_2011 < 968 AND jul_2012 = 31 AND jun_2011 > 30
CREATE TABLE table_name_27 (aug_2013 INTEGER, jun_2011 VARCHAR, nov_2011 VARCHAR, jul_2012 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 402, 122, 834, 11138, 3, 21342, 17966, 6, 3, 6959, 834, 13907, 584, 4280, 28027, 6, 3, 5326, 834, 13907, 584, 4280, 28027, 6, 3, 354, 83, 834, 12172, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 402, 122, 834, 11138, 61, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 3, 5326, 834, 13907, 3, 2, 668, 3651, 3430, 3, 354, 83, 834, 12172, 3274, 2664, 3430, 3, 6959, 834, 13907, 2490, 604, 1, ...
What is the average Apr 2013 with a Jun 2011 less than 14?
SELECT AVG(apr_2013) FROM table_name_76 WHERE jun_2011 < 14
CREATE TABLE table_name_76 (apr_2013 INTEGER, jun_2011 INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 9, 102, 52, 834, 11138, 3, 21342, 17966, 6, 3, 6959, 834, 13907, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 10299, 2038, 28,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 9, 102, 52, 834, 11138, 61, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 3, 6959, 834, 13907, 3, 2, 968, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average Feb 2013 with a Feb 2010 with 37, and a Nov 2012 less than 32?
SELECT AVG(feb_2013) FROM table_name_31 WHERE feb_2010 = "37" AND nov_2012 < 32
CREATE TABLE table_name_31 (feb_2013 INTEGER, feb_2010 VARCHAR, nov_2012 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 89, 15, 115, 834, 11138, 3, 21342, 17966, 6, 3, 89, 15, 115, 834, 14926, 584, 4280, 28027, 6, 3, 5326, 834, 12172, 584, 4280, 28027, 61, 3, 32105, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 89, 15, 115, 834, 11138, 61, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 3, 89, 15, 115, 834, 14926, 3274, 96, 4118, 121, 3430, 3, 5326, 834, 12172, 3, 2, 3538, 1, -100, -100, -100, -100, ...
What is the total number with Nov 2012 with a Jun 2013 larger than 542, and a Aug 2011 more than 935?
SELECT COUNT(nov_2012) FROM table_name_19 WHERE jun_2013 > 542 AND aug_2011 > 935
CREATE TABLE table_name_19 (nov_2012 VARCHAR, jun_2013 VARCHAR, aug_2011 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 5326, 834, 12172, 584, 4280, 28027, 6, 3, 6959, 834, 11138, 584, 4280, 28027, 6, 185, 122, 834, 13907, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 5326, 834, 12172, 61, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 3, 6959, 834, 11138, 2490, 305, 4165, 3430, 185, 122, 834, 13907, 2490, 668, 2469, 1, -100, -100, -100, -100, -100, -100, -100...
What's the total grid for a Time/Retired of +1:03.741, and Laps larger than 44?
SELECT COUNT(grid) FROM table_name_71 WHERE time_retired = "+1:03.741" AND laps > 44
CREATE TABLE table_name_71 (grid VARCHAR, time_retired VARCHAR, laps VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 3496, 26, 584, 4280, 28027, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 3496, 26, 61, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 97, 834, 10682, 1271, 3274, 96, 18446, 10, 13267, 4581, 536, 121, 3430, 14941, 7, 2490, 8537, 1, -100, -100, -100, -100, -100, -100, ...
What did the home team at Brunswick Street Oval score?
SELECT home_team AS score FROM table_name_89 WHERE venue = "brunswick street oval"
CREATE TABLE table_name_89 (home_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 410, 8, 234, 372, 44, 29980, 1887, 411, 2165, 2604...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 5669, 3274, 96, 9052, 29, 7, 5981, 2815, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who had the highest rebounds of the game with A. Johnson (6) as the highest assist?
SELECT high_rebounds FROM table_name_35 WHERE high_assists = "a. johnson (6)"
CREATE TABLE table_name_35 (high_rebounds VARCHAR, high_assists VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 6739, 834, 23768, 584, 4280, 28027, 6, 306, 834, 6500, 7, 17, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 141, 8, 2030, 3, 23768, 13,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 306, 834, 23768, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 306, 834, 6500, 7, 17, 7, 3274, 96, 9, 5, 3, 27341, 739, 3, 18669, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who had the highest rebounds of the game with A. Johnson (14) as the highest assists?
SELECT high_rebounds FROM table_name_55 WHERE high_assists = "a. johnson (14)"
CREATE TABLE table_name_55 (high_rebounds VARCHAR, high_assists VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 6739, 834, 23768, 584, 4280, 28027, 6, 306, 834, 6500, 7, 17, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 141, 8, 2030, 3, 23768, 13,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 306, 834, 23768, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 306, 834, 6500, 7, 17, 7, 3274, 96, 9, 5, 3, 27341, 739, 4077, 7256, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who was the opponent on August 30?
SELECT opponent FROM table_name_16 WHERE date = "august 30"
CREATE TABLE table_name_16 (opponent VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 32, 102, 9977, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 15264, 30, 1660, 604, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 833, 3274, 96, 402, 17198, 604, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score on August 8?
SELECT score FROM table_name_82 WHERE date = "august 8"
CREATE TABLE table_name_82 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 30, 1660, 505, 58, 1, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 833, 3274, 96, 402, 17198, 505, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many picks included Kenny Evans?
SELECT COUNT(pick) FROM table_name_52 WHERE player = "kenny evans"
CREATE TABLE table_name_52 (pick VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 17967, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1432, 7, 1285, 5704, 29, 63, 18305, 58, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 17967, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 1959, 3274, 96, 9376, 63, 3, 15, 2132, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...