NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
What was the decision of the Lightning game when the Canadiens were the away team?
SELECT decision FROM table_name_56 WHERE visitor = "canadiens"
CREATE TABLE table_name_56 (decision VARCHAR, visitor VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 221, 18901, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1357, 13, 8, 26717, 467, 116, 8, 1072, 9, 26, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1357, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 7019, 3274, 96, 1608, 9, 26, 8065, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the date of the 24–27–6 Lightning home game against Tampa Bay that had a decision of Ramo?
SELECT date FROM table_name_93 WHERE home = "tampa bay" AND decision = "ramo" AND record = "24–27–6"
CREATE TABLE table_name_93 (date VARCHAR, record VARCHAR, home VARCHAR, decision VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 5522, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 6, 1357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 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, 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, 4271, 549, 17444, 427, 234, 3274, 96, 17, 4624, 9, 10210, 121, 3430, 1357, 3274, 96, 2375, 32, 121, 3430, 1368, 3274, 96, 2266, 104, 2555, 104, 948, 121, 1, -100, -100, -100, -100, ...
What week was October 29, 2000?
SELECT COUNT(week) FROM table_name_2 WHERE date = "october 29, 2000"
CREATE TABLE table_name_2 (week VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 8041, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 471, 47, 1797, 14405, 2766, 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, 2847, 17161, 599, 8041, 61, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 833, 3274, 96, 32, 75, 235, 1152, 14405, 2766, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the opponent on December 10, 2000?
SELECT opponent FROM table_name_36 WHERE date = "december 10, 2000"
CREATE TABLE table_name_36 (opponent VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 32, 102, 9977, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 15264, 30, 1882, 10372, 2766, 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, 15264, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 833, 3274, 96, 221, 75, 18247, 10372, 2766, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the opponent on the game with a 65,569 attendance before week 12?
SELECT opponent FROM table_name_62 WHERE week < 12 AND attendance = "65,569"
CREATE TABLE table_name_62 (opponent VARCHAR, week VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 32, 102, 9977, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 15264, 30, 8, 46...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15264, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 471, 3, 2, 586, 3430, 11364, 3274, 96, 4122, 6, 755, 3951, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What week was September 24, 2000 on?
SELECT SUM(week) FROM table_name_55 WHERE date = "september 24, 2000"
CREATE TABLE table_name_55 (week INTEGER, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 8041, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 471, 47, 1600, 14320, 2766, 30, 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, 180, 6122, 599, 8041, 61, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 833, 3274, 96, 7, 6707, 18247, 14320, 2766, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the engine configuration & notes 0-100km/h with a model with 2.3 t5?
SELECT engine_configuration_ & _notes_0_100km_h FROM table_name_65 WHERE model = "2.3 t5"
CREATE TABLE table_name_65 (engine_configuration_ VARCHAR, _notes_0_100km_h VARCHAR, model VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 20165, 834, 1018, 26703, 834, 584, 4280, 28027, 6, 3, 834, 7977, 7, 834, 632, 834, 2915, 5848, 834, 107, 584, 4280, 28027, 6, 825, 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, 1948, 834, 1018, 26703, 834, 3, 184, 3, 834, 7977, 7, 834, 632, 834, 2915, 5848, 834, 107, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 825, 3274, 96, 18561, 3, 17, 17395, 1, -100, -100, -100, -100, -100, -1...
What is the engine configuration & notes 0-100km/h with an engine type with b5252 fs?
SELECT engine_configuration_ & _notes_0_100km_h FROM table_name_49 WHERE engine_type = "b5252 fs"
CREATE TABLE table_name_49 (engine_configuration_ VARCHAR, _notes_0_100km_h VARCHAR, engine_type VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 20165, 834, 1018, 26703, 834, 584, 4280, 28027, 6, 3, 834, 7977, 7, 834, 632, 834, 2915, 5848, 834, 107, 584, 4280, 28027, 6, 1948, 834, 6137, 584, 428...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1948, 834, 1018, 26703, 834, 3, 184, 3, 834, 7977, 7, 834, 632, 834, 2915, 5848, 834, 107, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 1948, 834, 6137, 3274, 96, 115, 5373, 5373, 3, 89, 7, 121, 1, -100, -...
What is the model with a engine type with b5244 s2?
SELECT model FROM table_name_97 WHERE engine_type = "b5244 s2"
CREATE TABLE table_name_97 (model VARCHAR, engine_type VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 21770, 584, 4280, 28027, 6, 1948, 834, 6137, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 825, 28, 3, 9, 1948, 686, 28, 3, 115, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 825, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 1948, 834, 6137, 3274, 96, 115, 5373, 3628, 3, 7, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the engine type with a model with base 2.4?
SELECT engine_type FROM table_name_90 WHERE model = "base 2.4"
CREATE TABLE table_name_90 (engine_type VARCHAR, model VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 20165, 834, 6137, 584, 4280, 28027, 6, 825, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1948, 686, 28, 3, 9, 825, 28, 1247, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1948, 834, 6137, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 825, 3274, 96, 10925, 3, 17638, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the composition of the coin that was issued after 2008, had a mintage larger than 999, and was designed by Jody Broomfield?
SELECT composition FROM table_name_76 WHERE mintage > 999 AND artist = "jody broomfield" AND year > 2008
CREATE TABLE table_name_76 (composition VARCHAR, year VARCHAR, mintage VARCHAR, artist VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 287, 4718, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 13983, 545, 584, 4280, 28027, 6, 2377, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5761, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 13983, 545, 2490, 3, 19446, 3430, 2377, 3274, 96, 354, 9666, 3, 115, 3082, 1846, 121, 3430, 215, 2490, 2628, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the theme of the coin from before 2006?
SELECT theme FROM table_name_91 WHERE year < 2006
CREATE TABLE table_name_91 (theme VARCHAR, year INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 532, 526, 584, 4280, 28027, 6, 215, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3800, 13, 8, 7485, 45, 274, 3581, 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, 3800, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 215, 3, 2, 3581, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the Tyre for the German Grand Prix?
SELECT tyre FROM table_name_27 WHERE race = "german grand prix"
CREATE TABLE table_name_27 (tyre VARCHAR, race VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 17, 63, 60, 584, 4280, 28027, 6, 1964, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 24652, 15, 21, 8, 2968, 2698, 12942, 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, 3, 17, 63, 60, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 1964, 3274, 96, 1304, 348, 1907, 3407, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who had Pole position for the French Grand Prix?
SELECT pole_position FROM table_name_69 WHERE race = "french grand prix"
CREATE TABLE table_name_69 (pole_position VARCHAR, race VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 14332, 834, 4718, 584, 4280, 28027, 6, 1964, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 141, 19418, 1102, 21, 8, 2379, 2698, 12942, 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, 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, 11148, 834, 4718, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 1964, 3274, 96, 89, 60, 5457, 1907, 3407, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the fastest lap in a race where Phil Hill had the Pole position and was won by Wolfgang von Trips?
SELECT fastest_lap FROM table_name_36 WHERE pole_position = "phil hill" AND winning_driver = "wolfgang von trips"
CREATE TABLE table_name_36 (fastest_lap VARCHAR, pole_position VARCHAR, winning_driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 11584, 222, 834, 8478, 584, 4280, 28027, 6, 11148, 834, 4718, 584, 4280, 28027, 6, 3447, 834, 13739, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 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, 10391, 834, 8478, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 11148, 834, 4718, 3274, 96, 18118, 9956, 121, 3430, 3447, 834, 13739, 52, 3274, 96, 19747, 3810, 193, 6846, 121, 1, -100, -100, -100, -100, -100, -1...
What is the lowest nuber of games drawn in the total column?
SELECT MIN(drawn) FROM table_name_31 WHERE against = "total"
CREATE TABLE table_name_31 (drawn INTEGER, against VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 19489, 29, 3, 21342, 17966, 6, 581, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 206, 1152, 13, 1031, 6796, 16, 8, 792, 6710,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 19489, 29, 61, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 581, 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 number of games lost that has less than 1 game drawn, a 50% winning percentage, against the netherlands, and over 2 played games?
SELECT MIN(lost) FROM table_name_96 WHERE drawn < 1 AND _percentage_won = "50%" AND against = "netherlands" AND played > 2
CREATE TABLE table_name_96 (lost INTEGER, played VARCHAR, against VARCHAR, drawn VARCHAR, _percentage_won VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 2298, 17, 3, 21342, 17966, 6, 1944, 584, 4280, 28027, 6, 581, 584, 4280, 28027, 6, 6796, 584, 4280, 28027, 6, 3, 834, 883, 3728, 545, 834, 210, 106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 6796, 3, 2, 209, 3430, 3, 834, 883, 3728, 545, 834, 210, 106, 3274, 96, 1752, 1454, 121, 3430, 581, 3274, 96, 29, 16764, 6347, 121, ...
What was the venue when the home team was Essendon?
SELECT venue FROM table_name_53 WHERE home_team = "essendon"
CREATE TABLE table_name_53 (venue VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 15098, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 5669, 116, 8, 234, 372, 47, 11722, 2029, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5669, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 234, 834, 11650, 3274, 96, 8185, 2029, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which biggest interview score had an evening gown stat of 9.286?
SELECT MAX(interview) FROM table_name_56 WHERE evening_gown = 9.286
CREATE TABLE table_name_56 (interview INTEGER, evening_gown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 3870, 4576, 3, 21342, 17966, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2630, 2772, 2604, 141, 46, 2272, 19879, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 3870, 4576, 61, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 2272, 834, 122, 9197, 3274, 5835, 357, 3840, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which mean interview number had an average of more than 9.233, a swimsuit stat of more than 9.473, and an evening gown score of more than 9.671?
SELECT AVG(interview) FROM table_name_79 WHERE average > 9.233 AND swimsuit = 9.473 AND evening_gown > 9.671
CREATE TABLE table_name_79 (interview INTEGER, evening_gown VARCHAR, average VARCHAR, swimsuit VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 3870, 4576, 3, 21342, 17966, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 6, 1348, 584, 4280, 28027, 6, 9728, 7628, 584, 4280, 28027, 61, 3, 32105, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3870, 4576, 61, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 1348, 2490, 5835, 20879, 3430, 9728, 7628, 3274, 5835, 4177, 519, 3430, 2272, 834, 122, 9197, 2490, 5835, 3708, 536, 1, -100, -100, -1...
Which is the smallest evening gown score when the interview score was more than 9.164, the swimsuit stat was less than 9.35, and the average is less than 9.233?
SELECT MIN(evening_gown) FROM table_name_63 WHERE interview > 9.164 AND swimsuit < 9.35 AND average < 9.233
CREATE TABLE table_name_63 (evening_gown INTEGER, average VARCHAR, interview VARCHAR, swimsuit VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 6190, 53, 834, 122, 9197, 3, 21342, 17966, 6, 1348, 584, 4280, 28027, 6, 2772, 584, 4280, 28027, 6, 9728, 7628, 584, 4280, 28027, 61, 3, 32105, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 6190, 53, 834, 122, 9197, 61, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 2772, 2490, 5835, 26987, 3430, 9728, 7628, 3, 2, 5835, 2469, 3430, 1348, 3, 2, 5835, 20879, 1, -100, -100, -100, -100, ...
Which is the largest average number when the swimsuit is 9.4 and the evening gown stat is less than 9.486?
SELECT MAX(average) FROM table_name_75 WHERE swimsuit = 9.4 AND evening_gown < 9.486
CREATE TABLE table_name_75 (average INTEGER, swimsuit VARCHAR, evening_gown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 28951, 3, 21342, 17966, 6, 9728, 7628, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 19, 8, 2015,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 28951, 61, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 9728, 7628, 3274, 5835, 591, 3430, 2272, 834, 122, 9197, 3, 2, 5835, 591, 3840, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the total number of interview scores that have an evening gown score of 9.543 and an average that is bigger than 9.521?
SELECT SUM(interview) FROM table_name_59 WHERE evening_gown = 9.543 AND average > 9.521
CREATE TABLE table_name_59 (interview INTEGER, evening_gown VARCHAR, average VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 3870, 4576, 3, 21342, 17966, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 6, 1348, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3870, 4576, 61, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 2272, 834, 122, 9197, 3274, 3, 22321, 4906, 3430, 1348, 2490, 3, 22321, 2658, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the mean average score when the evening gown score is more than 9.35, the state is South Carolina, and the swimsuit score is more than 9.4?
SELECT AVG(average) FROM table_name_52 WHERE evening_gown > 9.35 AND state = "south carolina" AND swimsuit > 9.4
CREATE TABLE table_name_52 (average INTEGER, swimsuit VARCHAR, evening_gown VARCHAR, state VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 28951, 3, 21342, 17966, 6, 9728, 7628, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 6, 538, 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, 71, 17217, 599, 28951, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 2272, 834, 122, 9197, 2490, 5835, 2469, 3430, 538, 3274, 96, 7, 670, 107, 443, 12057, 9, 121, 3430, 9728, 7628, 2490, 5835, 591, 1, -100,...
What is the total draw count with 52 goals and less than 15 losses?
SELECT SUM(draws) FROM table_name_38 WHERE goals_against = 52 AND losses < 15
CREATE TABLE table_name_38 (draws INTEGER, goals_against VARCHAR, losses VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 19489, 7, 3, 21342, 17966, 6, 1766, 834, 9, 16720, 7, 17, 584, 4280, 28027, 6, 8467, 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, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 19489, 7, 61, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 1766, 834, 9, 16720, 7, 17, 3274, 9065, 3430, 8467, 3, 2, 627, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the top losses that with Club of cd toledo and Points more than 56?
SELECT MAX(losses) FROM table_name_23 WHERE club = "cd toledo" AND points > 56
CREATE TABLE table_name_23 (losses INTEGER, club VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 2298, 2260, 3, 21342, 17966, 6, 1886, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 420, 8467, 24, 28, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 2298, 2260, 61, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 1886, 3274, 96, 75, 26, 12, 1361, 32, 121, 3430, 979, 2490, 11526, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the low win count with more than 72 goals?
SELECT MIN(wins) FROM table_name_1 WHERE goals_for > 72
CREATE TABLE table_name_1 (wins INTEGER, goals_for INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 3757, 7, 3, 21342, 17966, 6, 1766, 834, 1161, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 731, 1369, 3476, 28, 72, 145, 9455, 1766, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 1766, 834, 1161, 2490, 9455, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What's the Total (kg) of a Snatch of 132.5?
SELECT total__kg_ FROM table_name_86 WHERE snatch = 132.5
CREATE TABLE table_name_86 (total__kg_ VARCHAR, snatch VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 235, 1947, 834, 834, 8711, 834, 584, 4280, 28027, 6, 3, 7, 29, 14547, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 9273, 41, 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, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 792, 834, 834, 8711, 834, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 3, 7, 29, 14547, 3274, 1179, 15967, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What's the name of the athlete with a Snatch larger than 140, Bodyweight smaller than 84.55, and Clean and Jerk of 192.5?
SELECT name FROM table_name_62 WHERE snatch > 140 AND bodyweight < 84.55 AND clean_ & _jerk = "192.5"
CREATE TABLE table_name_62 (name VARCHAR, snatch VARCHAR, bodyweight VARCHAR, clean_ VARCHAR, _jerk VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 4350, 584, 4280, 28027, 6, 3, 7, 29, 14547, 584, 4280, 28027, 6, 643, 9378, 584, 4280, 28027, 6, 1349, 834, 584, 4280, 28027, 6, 3, 834, 12488, 157, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 564, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 3, 7, 29, 14547, 2490, 11397, 3430, 643, 9378, 3, 2, 3, 4608, 5, 3769, 3430, 1349, 834, 3, 184, 3, 834, 12488, 157, 3274, 96, 19978, 5, 17395, 1, -100, -10...
When was the result 3-1?
SELECT date FROM table_name_22 WHERE result = "3-1"
CREATE TABLE table_name_22 (date VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 5522, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 8, 741, 220, 2292, 58, 1, 0, 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, 833, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 741, 3274, 96, 519, 2292, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which competition had a result of 1-0?
SELECT competition FROM table_name_44 WHERE result = "1-0"
CREATE TABLE table_name_44 (competition VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 287, 4995, 4749, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2259, 141, 3, 9, 741, 13, 3, 18930, 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, 2259, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 741, 3274, 96, 18930, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
At what venue was richmond the away team?
SELECT venue FROM table_name_62 WHERE away_team = "richmond"
CREATE TABLE table_name_62 (venue VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 15098, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 486, 125, 5669, 47, 2354, 6764, 8, 550, 372, 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, 5669, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 550, 834, 11650, 3274, 96, 3723, 6764, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What venue had an away team of south melbourne?
SELECT venue FROM table_name_32 WHERE away_team = "south melbourne"
CREATE TABLE table_name_32 (venue VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 15098, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 5669, 141, 46, 550, 372, 13, 3414, 3, 2341, 26255,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5669, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 550, 834, 11650, 3274, 96, 7, 670, 107, 3, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was fitzroy's score at home?
SELECT home_team AS score FROM table_name_27 WHERE home_team = "fitzroy"
CREATE TABLE table_name_27 (home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 5515, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 1400, 172, 8170, 31, 7, 2604, 44, 234, 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, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 234, 834, 11650, 3274, 96, 89, 5615, 8170, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What day did South Melbourne play as the away team?
SELECT date FROM table_name_82 WHERE away_team = "south melbourne"
CREATE TABLE table_name_82 (date VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 5522, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 239, 410, 1013, 9396, 577, 38, 8, 550, 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, 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, 4613, 549, 17444, 427, 550, 834, 11650, 3274, 96, 7, 670, 107, 3, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the attendance when Hawthorn played as the away team?
SELECT AVG(crowd) FROM table_name_54 WHERE away_team = "hawthorn"
CREATE TABLE table_name_54 (crowd INTEGER, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 75, 3623, 26, 3, 21342, 17966, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 11364, 116, 1626, 210, 17, 6293, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 550, 834, 11650, 3274, 96, 1024, 210, 17, 6293, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who was Carlton's away team opponent?
SELECT away_team FROM table_name_79 WHERE home_team = "carlton"
CREATE TABLE table_name_79 (away_team VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 3, 30339, 31, 7, 550, 372, 15264, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 550, 834, 11650, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 234, 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, ...
IN EVENTS 1995 STOH, WHO WAS THE THIRD WITH SKIP SANDRA PETERSON AND SECOND JOAN MCCUSKER?
SELECT third FROM table_name_52 WHERE skip = "sandra peterson" AND second = "joan mccusker" AND events = "1995 stoh"
CREATE TABLE table_name_52 (third VARCHAR, events VARCHAR, skip VARCHAR, second VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 14965, 584, 4280, 28027, 6, 984, 584, 4280, 28027, 6, 11202, 584, 4280, 28027, 6, 511, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3388, 262, 24...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1025, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 11202, 3274, 96, 7, 152, 3515, 3947, 13515, 121, 3430, 511, 3274, 96, 1927, 152, 3, 51, 75, 1071, 7, 2304, 121, 3430, 984, 3274, 96, 2294, 3301, 3, 7, 235, ...
What club was derrick byfuglien drafted by before 283?
SELECT club_team FROM table_name_96 WHERE overall < 283 AND player = "derrick byfuglien"
CREATE TABLE table_name_96 (club_team VARCHAR, overall VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 13442, 834, 11650, 584, 4280, 28027, 6, 1879, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1886, 47, 74, 5206, 57...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1886, 834, 11650, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 1879, 3, 2, 204, 4591, 3430, 1959, 3274, 96, 588, 5206, 57, 14165, 10487, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Venue with a Result of 3–0, and a Competition with 2006 fifa world cup qualifier, and with a Score of 3–0?
SELECT venue FROM table_name_22 WHERE result = "3–0" AND competition = "2006 fifa world cup qualifier" AND score = "3–0"
CREATE TABLE table_name_22 (venue VARCHAR, score VARCHAR, result VARCHAR, competition VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 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, 2884, 549, 17444, 427, 741, 3274, 96, 519, 104, 632, 121, 3430, 2259, 3274, 96, 21196, 361, 89, 9, 296, 4119, 10597, 49, 121, 3430, 2604, 3274, 96, 519, 104, 632, 121, 1, -100, -1...
What is the Date with a Result of 8–2, and a Score with 6–2?
SELECT date FROM table_name_99 WHERE result = "8–2" AND score = "6–2"
CREATE TABLE table_name_99 (date VARCHAR, result VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 5522, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7678, 28, 3, 9, 3, 20119, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 741, 3274, 96, 927, 104, 357, 121, 3430, 2604, 3274, 96, 948, 104, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the Result with a Score of 1–0, and a Date with 18 april 2009?
SELECT result FROM table_name_35 WHERE score = "1–0" AND date = "18 april 2009"
CREATE TABLE table_name_35 (result VARCHAR, score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 20119, 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, 741, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 2604, 3274, 96, 536, 104, 632, 121, 3430, 833, 3274, 96, 2606, 3, 9, 2246, 40, 2464, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Venue with a Result of 10–0, and a Score with 3–0?
SELECT venue FROM table_name_64 WHERE result = "10–0" AND score = "3–0"
CREATE TABLE table_name_64 (venue VARCHAR, result VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 15098, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 29940, 28, 3, 9, 3, 20119,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5669, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 741, 3274, 96, 1714, 104, 632, 121, 3430, 2604, 3274, 96, 519, 104, 632, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Competition with a Date with 6 december 2011?
SELECT competition FROM table_name_72 WHERE date = "6 december 2011"
CREATE TABLE table_name_72 (competition VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 287, 4995, 4749, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 15571, 28, 3, 9, 7678, 28, 431, 20, 75, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2259, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 833, 3274, 96, 948, 20, 75, 18247, 2722, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the Result with a Date with 4 september 2013?
SELECT result FROM table_name_4 WHERE date = "4 september 2013"
CREATE TABLE table_name_4 (result VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 20119, 28, 3, 9, 7678, 28, 314, 16022, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 741, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 833, 3274, 96, 591, 16022, 18247, 2038, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When was there a crowd larger than 23,000?
SELECT date FROM table_name_63 WHERE crowd > 23 OFFSET 000
CREATE TABLE table_name_63 (date VARCHAR, crowd INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 5522, 584, 4280, 28027, 6, 4374, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 132, 3, 9, 4374, 2186, 145, 204, 11212, 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, 3891, 549, 17444, 427, 4374, 2490, 1902, 3, 15316, 20788, 6078, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How much was the score of the home team at windy hill?
SELECT home_team AS score FROM table_name_34 WHERE venue = "windy hill"
CREATE TABLE table_name_34 (home_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 231, 47, 8, 2604, 13, 8, 234, 372, 44, 2943, 63,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3710, 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, -...
What was the score of the team that played against Fitzroy in their home game?
SELECT home_team AS score FROM table_name_17 WHERE away_team = "fitzroy"
CREATE TABLE table_name_17 (home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 13, 8, 372, 24, 1944, 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, 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, 2517, 549, 17444, 427, 550, 834, 11650, 3274, 96, 89, 5615, 8170, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which stories have a rank of 14?
SELECT stories FROM table_name_43 WHERE rank = "14"
CREATE TABLE table_name_43 (stories VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 7279, 725, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1937, 43, 3, 9, 11003, 13, 968, 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, 1937, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 11003, 3274, 96, 2534, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many stories were done in 2008 with a 16 rank?
SELECT COUNT(stories) FROM table_name_85 WHERE completed = 2008 AND rank = "16"
CREATE TABLE table_name_85 (stories VARCHAR, completed VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 7279, 725, 584, 4280, 28027, 6, 2012, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1937, 130, 612, 16, 2628...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 7279, 725, 61, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 2012, 3274, 2628, 3430, 11003, 3274, 96, 2938, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the average stories done after 2003 with a 16 rank
SELECT AVG(stories) FROM table_name_30 WHERE completed > 2003 AND rank = "16"
CREATE TABLE table_name_30 (stories INTEGER, completed VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 7279, 725, 3, 21342, 17966, 6, 2012, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 1348, 1937, 612, 227, 3888...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 7279, 725, 61, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 2012, 2490, 3888, 3430, 11003, 3274, 96, 2938, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the total number of stories that had a 16 rank
SELECT COUNT(stories) FROM table_name_29 WHERE rank = "16"
CREATE TABLE table_name_29 (stories VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 7279, 725, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381, 13, 1937, 24, 141, 3, 9, 898, 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, 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, 7279, 725, 61, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 11003, 3274, 96, 2938, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
I want the sum of stories for guadalajara done after 2007
SELECT SUM(stories) FROM table_name_87 WHERE city = "guadalajara" AND completed > 2007
CREATE TABLE table_name_87 (stories INTEGER, city VARCHAR, completed VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4225, 41, 7279, 725, 3, 21342, 17966, 6, 690, 584, 4280, 28027, 6, 2012, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 27, 241, 8, 4505, 13, 1937, 21, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 7279, 725, 61, 21680, 953, 834, 4350, 834, 4225, 549, 17444, 427, 690, 3274, 96, 1744, 9, 26, 138, 9, 5670, 9, 121, 3430, 2012, 2490, 4101, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which country has less than 4 votes?
SELECT state FROM table_name_99 WHERE council_votes < 4
CREATE TABLE table_name_99 (state VARCHAR, council_votes INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 5540, 584, 4280, 28027, 6, 6098, 834, 1621, 1422, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 4073, 684, 65, 705, 145, 314, 11839, 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, 538, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 6098, 834, 1621, 1422, 3, 2, 314, 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 time of the driver who had a grid of 22?
SELECT time_retired FROM table_name_74 WHERE grid = "22"
CREATE TABLE table_name_74 (time_retired VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 97, 13, 8, 2535, 113, 141, 3, 9, 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, 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, 4581, 549, 17444, 427, 8634, 3274, 96, 2884, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the construction of Olivier Panis' car that retired due to a collision?
SELECT constructor FROM table_name_23 WHERE time_retired = "collision" AND driver = "olivier panis"
CREATE TABLE table_name_23 (constructor VARCHAR, time_retired VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 15982, 5317, 584, 4280, 28027, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1449,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6774, 127, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 97, 834, 10682, 1271, 3274, 96, 75, 20953, 1938, 121, 3430, 2535, 3274, 96, 4172, 5144, 2131, 159, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which driver retired from a collision after 41 laps?
SELECT driver FROM table_name_54 WHERE time_retired = "collision" AND laps = "41"
CREATE TABLE table_name_54 (driver VARCHAR, time_retired VARCHAR, laps VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 13739, 52, 584, 4280, 28027, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2535, 106...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2535, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 97, 834, 10682, 1271, 3274, 96, 75, 20953, 1938, 121, 3430, 14941, 7, 3274, 96, 4853, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who retired at lap 77 and was grid 11?
SELECT time_retired FROM table_name_22 WHERE laps = "77" AND grid = "11"
CREATE TABLE table_name_22 (time_retired VARCHAR, laps VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 10611, 44, 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, 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, 2884, 549, 17444, 427, 14941, 7, 3274, 96, 4013, 121, 3430, 8634, 3274, 96, 2596, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many grid numbers had a lap number bigger than 54?
SELECT COUNT(grid) FROM table_name_89 WHERE laps > 54
CREATE TABLE table_name_89 (grid VARCHAR, laps INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 3496, 26, 584, 4280, 28027, 6, 14941, 7, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 8634, 2302, 141, 3, 9, 14941, 381, 4038, 145, 10...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 3496, 26, 61, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 14941, 7, 2490, 10630, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who is the outgoing manager when the date of vacancy is 13 october 2008?
SELECT outgoing_manager FROM table_name_19 WHERE date_of_vacancy = "13 october 2008"
CREATE TABLE table_name_19 (outgoing_manager VARCHAR, date_of_vacancy VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 670, 9545, 834, 24185, 584, 4280, 28027, 6, 833, 834, 858, 834, 29685, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 91, 9545, 2743, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 91, 9545, 834, 24185, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 833, 834, 858, 834, 29685, 3274, 96, 2368, 3, 32, 75, 235, 1152, 2628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Constructor has a Grid larger than 8, and a Time/Retired of +1:17.124?
SELECT constructor FROM table_name_46 WHERE grid > 8 AND time_retired = "+1:17.124"
CREATE TABLE table_name_46 (constructor VARCHAR, grid VARCHAR, time_retired VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 15982, 5317, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1193, 7593, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6774, 127, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 8634, 2490, 505, 3430, 97, 834, 10682, 1271, 3274, 96, 18446, 10, 2517, 5, 22504, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
which year has the toyota tf102 chassis?
SELECT COUNT(year) FROM table_name_1 WHERE chassis = "toyota tf102"
CREATE TABLE table_name_1 (year VARCHAR, chassis VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 1201, 584, 4280, 28027, 6, 22836, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 84, 215, 65, 8, 12, 63, 32, 17, 9, 3, 17, 89, 14388, 22836, 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...
[ 3, 23143, 14196, 2847, 17161, 599, 1201, 61, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 22836, 3274, 96, 235, 63, 32, 17, 9, 3, 17, 89, 14388, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what was the engine used before 1996 with 5 points?
SELECT engine FROM table_name_68 WHERE year < 1996 AND points = 5
CREATE TABLE table_name_68 (engine VARCHAR, year VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 20165, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 47, 8, 1948, 261, 274, 6911, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1948, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 215, 3, 2, 6911, 3430, 979, 3274, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What number of years did the red bull sauber petronas have greater than 6 points?
SELECT COUNT(year) FROM table_name_90 WHERE entrant = "red bull sauber petronas" AND points > 6
CREATE TABLE table_name_90 (year VARCHAR, entrant VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 1201, 584, 4280, 28027, 6, 3, 295, 3569, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 381, 13, 203, 410, 8, 1131...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 1201, 61, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 3, 295, 3569, 3274, 96, 1271, 8434, 24007, 158, 6255, 9, 7, 121, 3430, 979, 2490, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100...
What are the notes for a Type of 0-6-0t?
SELECT notes FROM table_name_37 WHERE type = "0-6-0t"
CREATE TABLE table_name_37 (notes VARCHAR, type VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 7977, 7, 584, 4280, 28027, 6, 686, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 3358, 21, 3, 9, 6632, 13, 3, 9498, 28625, 17, 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...
[ 3, 23143, 14196, 3358, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 686, 3274, 96, 9498, 28625, 17, 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 notes for the vehicle built in 1917?
SELECT notes FROM table_name_98 WHERE built = "1917"
CREATE TABLE table_name_98 (notes VARCHAR, built VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 7977, 7, 584, 4280, 28027, 6, 1192, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3358, 21, 8, 1689, 1192, 16, 25439, 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, 3358, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 1192, 3274, 96, 2294, 2517, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the Away team at Hawthorn?
SELECT home_team FROM table_name_24 WHERE away_team = "hawthorn"
CREATE TABLE table_name_24 (home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 71, 1343, 372, 44, 1626, 210, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 234, 834, 11650, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 550, 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, -10...
What region has vinyl record listed as its format?
SELECT region FROM table_name_65 WHERE format = "vinyl record"
CREATE TABLE table_name_65 (region VARCHAR, format VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 18145, 584, 4280, 28027, 6, 1910, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1719, 65, 9335, 1368, 2616, 38, 165, 1910, 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, 1719, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 1910, 3274, 96, 2494, 63, 40, 1368, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What label is formatted as compact disc and has United Kingdom as its region?
SELECT label FROM table_name_94 WHERE format = "compact disc" AND region = "united kingdom"
CREATE TABLE table_name_94 (label VARCHAR, format VARCHAR, region VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 40, 10333, 584, 4280, 28027, 6, 1910, 584, 4280, 28027, 6, 1719, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 3783, 19, 1910, 1054, 38, 6607...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3783, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 1910, 3274, 96, 7699, 2708, 5025, 121, 3430, 1719, 3274, 96, 15129, 15, 26, 14740, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What format has United Kingdom as its region and is catalogued as 201457 9?
SELECT format FROM table_name_65 WHERE region = "united kingdom" AND catalogue = "201457 9"
CREATE TABLE table_name_65 (format VARCHAR, region VARCHAR, catalogue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 8995, 584, 4280, 28027, 6, 1719, 584, 4280, 28027, 6, 14978, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1910, 65, 907, 6524, 38, 165, 1719...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1910, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 1719, 3274, 96, 15129, 15, 26, 14740, 121, 3430, 14978, 3274, 96, 10218, 3436, 668, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the school/country of the player with 337 assists?
SELECT school_country FROM table_name_48 WHERE asts = 337
CREATE TABLE table_name_48 (school_country VARCHAR, asts VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 6646, 834, 17529, 584, 4280, 28027, 6, 38, 17, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 496, 87, 17529, 13, 8, 1959, 28, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 496, 834, 17529, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 38, 17, 7, 3274, 220, 4118, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the position of the player with more than 11 assists and 219 rebounds?
SELECT pos FROM table_name_85 WHERE asts > 11 AND rebs = 219
CREATE TABLE table_name_85 (pos VARCHAR, asts VARCHAR, rebs VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 2748, 584, 4280, 28027, 6, 38, 17, 7, 584, 4280, 28027, 6, 3, 60, 115, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1102, 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, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 2748, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 38, 17, 7, 2490, 850, 3430, 3, 60, 115, 7, 3274, 204, 2294, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What day did Geelong play as the away team?
SELECT date FROM table_name_73 WHERE away_team = "geelong"
CREATE TABLE table_name_73 (date VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 5522, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 239, 410, 961, 15, 2961, 577, 38, 8, 550, 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, 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, 4552, 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, -100, -100, -100, -100, -10...
When was the kickoff during a game with a record of 1-7?
SELECT kickoff_[a_] FROM table_name_66 WHERE record = "1-7"
CREATE TABLE table_name_66 (kickoff_ VARCHAR, a_ VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 157, 3142, 1647, 834, 584, 4280, 28027, 6, 3, 9, 834, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 8, 4583,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4583, 1647, 834, 6306, 9, 834, 908, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 1368, 3274, 96, 536, 6832, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
When was the date that week 9 started?
SELECT date FROM table_name_65 WHERE week = "9"
CREATE TABLE table_name_65 (date VARCHAR, week VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 5522, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 8, 833, 24, 471, 668, 708, 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, 833, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 471, 3274, 96, 1298, 121, 1, -100, -100, -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 September 1, 1996?
SELECT result FROM table_name_50 WHERE date = "september 1, 1996"
CREATE TABLE table_name_50 (result VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 30, 1600, 1914, 6911, 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, 1752, 549, 17444, 427, 833, 3274, 96, 7, 6707, 18247, 1914, 6911, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which school drafted dave lewis?
SELECT school FROM table_name_75 WHERE player = "dave lewis"
CREATE TABLE table_name_75 (school VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 6646, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 496, 3, 23505, 836, 162, 90, 210, 159, 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, 496, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 1959, 3274, 96, 26, 9, 162, 90, 210, 159, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What position did the school of alabama draft?
SELECT position FROM table_name_21 WHERE school = "alabama"
CREATE TABLE table_name_21 (position VARCHAR, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 4718, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1102, 410, 8, 496, 13, 3, 9, 9339, 265, 9, 6488, 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, 1102, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 496, 3274, 96, 9, 9339, 265, 9, 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 stage of team Once?
SELECT stage FROM table_name_49 WHERE trofeo_fast_team = "once"
CREATE TABLE table_name_49 (stage VARCHAR, trofeo_fast_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 10705, 584, 4280, 28027, 6, 10968, 89, 15, 32, 834, 11584, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1726, 13, 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, 1726, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 10968, 89, 15, 32, 834, 11584, 834, 11650, 3274, 96, 14549, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which team had a final stage when Claudio Chiappucci had the points?
SELECT trofeo_fast_team FROM table_name_23 WHERE points_classification = "claudio chiappucci" AND stage = "final"
CREATE TABLE table_name_23 (trofeo_fast_team VARCHAR, points_classification VARCHAR, stage VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 17, 52, 858, 15, 32, 834, 11584, 834, 11650, 584, 4280, 28027, 6, 979, 834, 4057, 2420, 584, 4280, 28027, 6, 1726, 584, 4280, 28027, 61, 3, 32105, 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, 10968, 89, 15, 32, 834, 11584, 834, 11650, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 979, 834, 4057, 2420, 3274, 96, 75, 40, 28696, 3, 1436, 3096, 17431, 23, 121, 3430, 1726, 3274, 96, 12406, 121, 1, -100, ...
What stage did team Carrera Jeans-Tassoni have when Mario Cipollini won and Claudio Chiappucci had the points?
SELECT stage FROM table_name_78 WHERE trofeo_fast_team = "carrera jeans-tassoni" AND winner = "mario cipollini" AND points_classification = "claudio chiappucci"
CREATE TABLE table_name_78 (stage VARCHAR, points_classification VARCHAR, trofeo_fast_team VARCHAR, winner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 10705, 584, 4280, 28027, 6, 979, 834, 4057, 2420, 584, 4280, 28027, 6, 10968, 89, 15, 32, 834, 11584, 834, 11650, 584, 4280, 28027, 6, 4668, 584, 4280, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1726, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 10968, 89, 15, 32, 834, 11584, 834, 11650, 3274, 96, 1720, 52, 1498, 14118, 18, 17, 9, 7, 739, 23, 121, 3430, 4668, 3274, 96, 17289, 32, 3, 3389, 32, 40, ...
I want to know the crowd with a home team of carlton
SELECT SUM(crowd) FROM table_name_46 WHERE home_team = "carlton"
CREATE TABLE table_name_46 (crowd INTEGER, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 75, 3623, 26, 3, 21342, 17966, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 27, 241, 12, 214, 8, 4374, 28, 3, 9, 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, 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, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 234, 834, 11650, 3274, 96, 1720, 7377, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many population estimate 2005 are for majene?
SELECT COUNT(population_estimate_2005) FROM table_name_86 WHERE capital = "majene"
CREATE TABLE table_name_86 (population_estimate_2005 VARCHAR, capital VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 9791, 7830, 834, 3340, 5058, 834, 22594, 584, 4280, 28027, 6, 1784, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 149, 186, 2074, 7037, 3105, 33, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 9791, 7830, 834, 3340, 5058, 834, 22594, 61, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 1784, 3274, 96, 16547, 35, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
what is the population estimate 2005 for the with the area (km2) 3,034.08?
SELECT AVG(population_estimate_2005) FROM table_name_89 WHERE area__km_2__ = 3 OFFSET 034.08
CREATE TABLE table_name_89 (population_estimate_2005 INTEGER, area__km_2__ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 9791, 7830, 834, 3340, 5058, 834, 22594, 3, 21342, 17966, 6, 616, 834, 834, 5848, 834, 357, 834, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 9791, 7830, 834, 3340, 5058, 834, 22594, 61, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 616, 834, 834, 5848, 834, 357, 834, 834, 3274, 220, 3, 15316, 20788, 12811, 15021, 927, 1, -100, -100, ...
how many times was the population estimate 2005 have an area (km2) more than 8,023.74?
SELECT COUNT(population_estimate_2005) FROM table_name_26 WHERE area__km_2__ > 8 OFFSET 023.74
CREATE TABLE table_name_26 (population_estimate_2005 VARCHAR, area__km_2__ INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 9791, 7830, 834, 3340, 5058, 834, 22594, 584, 4280, 28027, 6, 616, 834, 834, 5848, 834, 357, 834, 834, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9791, 7830, 834, 3340, 5058, 834, 22594, 61, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 616, 834, 834, 5848, 834, 357, 834, 834, 2490, 505, 3, 15316, 20788, 11270, 25168, 591, 1, -100, -100, ...
Name the score for pacers visitor on 14 april 2008
SELECT score FROM table_name_16 WHERE visitor = "pacers" AND date = "14 april 2008"
CREATE TABLE table_name_16 (score VARCHAR, visitor VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 7, 9022, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 2604, 21, 4974, 52, 7, 7019...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2938, 549, 17444, 427, 7019, 3274, 96, 5379, 277, 121, 3430, 833, 3274, 96, 2534, 3, 9, 2246, 40, 2628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the home team when geelong was the away team?
SELECT home_team FROM table_name_74 WHERE away_team = "geelong"
CREATE TABLE table_name_74 (home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 234, 372, 116, 873, 15, 2961, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 21680, 953, 834, 4350, 834, 4581, 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, -100, -100, -10...
What stadium hosted the game that had a final score of 9-14?
SELECT stadium FROM table_name_75 WHERE final_score = "9-14"
CREATE TABLE table_name_75 (stadium VARCHAR, final_score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 2427, 12925, 584, 4280, 28027, 6, 804, 834, 7, 9022, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 14939, 6523, 8, 467, 24, 141, 3, 9, 804,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14939, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 804, 834, 7, 9022, 3274, 96, 1298, 11590, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who was the visiting team at Lincoln Financial Field when the final score was 24-14?
SELECT visiting_team FROM table_name_34 WHERE stadium = "lincoln financial field" AND final_score = "24-14"
CREATE TABLE table_name_34 (visiting_team VARCHAR, stadium VARCHAR, final_score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 3466, 155, 53, 834, 11650, 584, 4280, 28027, 6, 14939, 584, 4280, 28027, 6, 804, 834, 7, 9022, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3644, 834, 11650, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 14939, 3274, 96, 40, 77, 3297, 29, 981, 1057, 121, 3430, 804, 834, 7, 9022, 3274, 96, 2266, 11590, 121, 1, -100, -100, -100, -100, -100, -100, -10...
Who was the vistiting team in the game with the final score of 7-13?
SELECT visiting_team FROM table_name_3 WHERE final_score = "7-13"
CREATE TABLE table_name_3 (visiting_team VARCHAR, final_score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 3466, 155, 53, 834, 11650, 584, 4280, 28027, 6, 804, 834, 7, 9022, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 4642, 17, 155, 53, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3644, 834, 11650, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 804, 834, 7, 9022, 3274, 96, 940, 13056, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who was the host team on December 19?
SELECT host_team FROM table_name_4 WHERE date = "december 19"
CREATE TABLE table_name_4 (host_team VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 12675, 834, 11650, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 2290, 372, 30, 1882, 957, 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, 2290, 834, 11650, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 833, 3274, 96, 221, 75, 18247, 957, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Where was the game on September 12 played when the Dallas Cowboys was the visiting team?
SELECT stadium FROM table_name_26 WHERE visiting_team = "dallas cowboys" AND date = "september 12"
CREATE TABLE table_name_26 (stadium VARCHAR, visiting_team VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 2427, 12925, 584, 4280, 28027, 6, 3644, 834, 11650, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 47, 8, 467, 30, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14939, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 3644, 834, 11650, 3274, 96, 26, 1748, 9, 7, 9321, 7531, 7, 121, 3430, 833, 3274, 96, 7, 6707, 18247, 586, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
Who was the host team at Louisiana Superdome when the final score was 10-20?
SELECT host_team FROM table_name_21 WHERE stadium = "louisiana superdome" AND final_score = "10-20"
CREATE TABLE table_name_21 (host_team VARCHAR, stadium VARCHAR, final_score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 12675, 834, 11650, 584, 4280, 28027, 6, 14939, 584, 4280, 28027, 6, 804, 834, 7, 9022, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2290, 834, 11650, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 14939, 3274, 96, 40, 1063, 159, 13662, 1355, 5012, 15, 121, 3430, 804, 834, 7, 9022, 3274, 96, 1714, 7988, 121, 1, -100, -100, -100, -100, -100, -...
What is the result for the best orchestrations category?
SELECT result FROM table_name_98 WHERE category = "best orchestrations"
CREATE TABLE table_name_98 (result VARCHAR, category VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 3295, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 741, 21, 8, 200, 13873, 10872, 3295, 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, 741, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 3295, 3274, 96, 9606, 13873, 10872, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What genre has over 20 episodes, with an English title (Chinese title) of wong fei hung - master of kung fu 我師傅係黃飛鴻?
SELECT genre FROM table_name_95 WHERE number_of_episodes > 20 AND english_title__chinese_title_ = "wong fei hung - master of kung fu 我師傅係黃飛鴻"
CREATE TABLE table_name_95 (genre VARCHAR, number_of_episodes VARCHAR, english_title__chinese_title_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 729, 60, 584, 4280, 28027, 6, 381, 834, 858, 834, 15, 102, 159, 32, 1395, 584, 4280, 28027, 6, 22269, 834, 21869, 834, 834, 1436, 1496, 15, 834, 21869,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5349, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 381, 834, 858, 834, 15, 102, 159, 32, 1395, 2490, 460, 3430, 22269, 834, 21869, 834, 834, 1436, 1496, 15, 834, 21869, 834, 3274, 96, 210, 2444, 3, 89, 15, 2...
which CFL team has a player called Peter Hogarth?
SELECT cfl_team FROM table_name_23 WHERE player = "peter hogarth"
CREATE TABLE table_name_23 (cfl_team VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 75, 89, 40, 834, 11650, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 84, 205, 10765, 372, 65, 3, 9, 1959, 718, 2737,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 75, 89, 40, 834, 11650, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 1959, 3274, 96, 4995, 49, 3, 18330, 10702, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
which college has a player called Riley Clayton?
SELECT college FROM table_name_88 WHERE player = "riley clayton"
CREATE TABLE table_name_88 (college VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 3297, 7883, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 84, 1900, 65, 3, 9, 1959, 718, 26766, 30618, 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, 1900, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 1959, 3274, 96, 5493, 63, 14364, 17, 106, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which album was on June 1998?
SELECT album FROM table_name_27 WHERE year = "june 1998"
CREATE TABLE table_name_27 (album VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 23703, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2306, 47, 30, 1515, 6260, 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, 2306, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 215, 3274, 96, 6959, 15, 6260, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which album has a label and cat# full moon/warner 28628?
SELECT album FROM table_name_68 WHERE label_and_cat_number = "full moon/warner 28628"
CREATE TABLE table_name_68 (album VARCHAR, label_and_cat_number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 23703, 584, 4280, 28027, 6, 3783, 834, 232, 834, 2138, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2306, 65, 3, 9, 3783, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2306, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 3783, 834, 232, 834, 2138, 834, 5525, 1152, 3274, 96, 1329, 40, 8114, 87, 2910, 687, 204, 3840, 2577, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the US AC of the label and cat# reprise 19466?
SELECT us_ac FROM table_name_1 WHERE label_and_cat_number = "reprise 19466"
CREATE TABLE table_name_1 (us_ac VARCHAR, label_and_cat_number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 302, 834, 9, 75, 584, 4280, 28027, 6, 3783, 834, 232, 834, 2138, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 837, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 178, 834, 9, 75, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 3783, 834, 232, 834, 2138, 834, 5525, 1152, 3274, 96, 60, 102, 7854, 25021, 948, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...