NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
The winner and nominee 'Hidden Agenda' is from which country?
SELECT country FROM table_name_69 WHERE winner_and_nominees = "hidden agenda"
CREATE TABLE table_name_69 (country VARCHAR, winner_and_nominees VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 17529, 584, 4280, 28027, 6, 4668, 834, 232, 834, 3114, 630, 15, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 37, 4668, 11, 21077, 3, 31, 121...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 4668, 834, 232, 834, 3114, 630, 15, 7, 3274, 96, 11740, 537, 8101, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total amount of freight produced of u28c?
SELECT total_produced FROM table_name_49 WHERE service = "freight" AND builder’s_model = "u28c"
CREATE TABLE table_name_49 (total_produced VARCHAR, service VARCHAR, builder’s_model VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 235, 1947, 834, 29462, 584, 4280, 28027, 6, 313, 584, 4280, 28027, 6, 918, 49, 22, 7, 834, 21770, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 792, 834, 29462, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 313, 3274, 96, 89, 60, 2632, 121, 3430, 918, 49, 22, 7, 834, 21770, 3274, 96, 76, 2577, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -10...
What is the build date for PRR Class gf30a?
SELECT build_date FROM table_name_80 WHERE prr_class = "gf30a"
CREATE TABLE table_name_80 (build_date VARCHAR, prr_class VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 16422, 834, 5522, 584, 4280, 28027, 6, 4880, 52, 834, 4057, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 918, 833, 21, 6045, 448, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 918, 834, 5522, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 4880, 52, 834, 4057, 3274, 96, 122, 89, 1458, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the PRR class for wheel arrangement c-c and total less than 15?
SELECT prr_class FROM table_name_80 WHERE wheel_arrangement = "c-c" AND total_produced < 15
CREATE TABLE table_name_80 (prr_class VARCHAR, wheel_arrangement VARCHAR, total_produced VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 102, 52, 52, 834, 4057, 584, 4280, 28027, 6, 5094, 834, 291, 5517, 297, 584, 4280, 28027, 6, 792, 834, 29462, 584, 4280, 28027, 61, 3, 32105, 32106, 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, 4880, 52, 834, 4057, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 5094, 834, 291, 5517, 297, 3274, 96, 75, 18, 75, 121, 3430, 792, 834, 29462, 3, 2, 627, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the model for PRR class of gf28a freight?
SELECT builder’s_model FROM table_name_61 WHERE service = "freight" AND prr_class = "gf28a"
CREATE TABLE table_name_61 (builder’s_model VARCHAR, service VARCHAR, prr_class VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 16422, 49, 22, 7, 834, 21770, 584, 4280, 28027, 6, 313, 584, 4280, 28027, 6, 4880, 52, 834, 4057, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 918, 49, 22, 7, 834, 21770, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 313, 3274, 96, 89, 60, 2632, 121, 3430, 4880, 52, 834, 4057, 3274, 96, 122, 89, 2577, 9, 121, 1, -100, -100, -100, -100, -100, -100, ...
Who got 189,524 votes?
SELECT queens FROM table_name_21 WHERE manhattan = "189,524"
CREATE TABLE table_name_21 (queens VARCHAR, manhattan VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 835, 35, 7, 584, 4280, 28027, 6, 388, 547, 17, 152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 530, 3, 25312, 6, 755, 2266, 11839, 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, 14915, 7, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 388, 547, 17, 152, 3274, 96, 25312, 6, 5373, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which owner has the frequency of 103.3 FM?
SELECT owner FROM table_name_51 WHERE frequency = "103.3 fm"
CREATE TABLE table_name_51 (owner VARCHAR, frequency VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 13238, 584, 4280, 28027, 6, 7321, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2527, 65, 8, 7321, 13, 335, 19660, 13409, 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, 2527, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 7321, 3274, 96, 1714, 19660, 3, 89, 51, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the call sign of the Classic Country Music station?
SELECT call_sign FROM table_name_25 WHERE format = "classic country"
CREATE TABLE table_name_25 (call_sign VARCHAR, format VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 16482, 834, 6732, 584, 4280, 28027, 6, 1910, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 580, 1320, 13, 8, 6744, 6993, 3057, 2478, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 580, 834, 6732, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 1910, 3274, 96, 4057, 447, 684, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which owner has the call sign of KDSU?
SELECT name FROM table_name_88 WHERE call_sign = "kdsu"
CREATE TABLE table_name_88 (name VARCHAR, call_sign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 4350, 584, 4280, 28027, 6, 580, 834, 6732, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2527, 65, 8, 580, 1320, 13, 480, 308, 4138, 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, 564, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 580, 834, 6732, 3274, 96, 157, 26, 7, 76, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the call sign for Thunder 106.1?
SELECT call_sign FROM table_name_62 WHERE name = "thunder 106.1"
CREATE TABLE table_name_62 (call_sign VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 16482, 834, 6732, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 580, 1320, 21, 18114, 335, 23769, 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, 580, 834, 6732, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 564, 3274, 96, 189, 7248, 335, 23769, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which owner has a Contemporary Christian music station on 97.9 FM?
SELECT name FROM table_name_45 WHERE format = "contemporary christian music" AND frequency = "97.9 fm"
CREATE TABLE table_name_45 (name VARCHAR, format VARCHAR, frequency VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 4350, 584, 4280, 28027, 6, 1910, 584, 4280, 28027, 6, 7321, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2527, 65, 3, 9, 16590, 2826, 723, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 564, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 1910, 3274, 96, 1018, 13089, 52, 1208, 3, 15294, 23, 152, 723, 121, 3430, 7321, 3274, 96, 4327, 5, 1298, 3, 89, 51, 121, 1, -100, -100, -100, -100, -100, -10...
Who was the leading scorer in the game where the visiting team was the Pistons?
SELECT leading_scorer FROM table_name_35 WHERE visitor = "pistons"
CREATE TABLE table_name_35 (leading_scorer VARCHAR, visitor VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 17103, 834, 7, 5715, 49, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 1374, 2604, 52, 16, 8, 467, 213, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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...
[ 3, 23143, 14196, 1374, 834, 7, 5715, 49, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 7019, 3274, 96, 102, 159, 8057, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many people attended the game where the leading scorer was Tim Duncan (24), and the home team was the Spurs?
SELECT MIN(attendance) FROM table_name_96 WHERE leading_scorer = "tim duncan (24)" AND home = "spurs"
CREATE TABLE table_name_96 (attendance INTEGER, leading_scorer VARCHAR, home VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 15116, 663, 3, 21342, 17966, 6, 1374, 834, 7, 5715, 49, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 151, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 1374, 834, 7, 5715, 49, 3274, 96, 2998, 146, 29, 1608, 4743, 7256, 121, 3430, 234, 3274, 96, 7, 3791, 7, 121, 1, -100, -100, -100, ...
What is the mean number of laps where Time/retired was a water leak and the grid number was bigger than 12?
SELECT AVG(laps) FROM table_name_53 WHERE time_retired = "water leak" AND grid > 12
CREATE TABLE table_name_53 (laps INTEGER, time_retired VARCHAR, grid 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, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1243, 38...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8478, 7, 61, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 97, 834, 10682, 1271, 3274, 96, 3552, 7653, 121, 3430, 8634, 2490, 586, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the mean number of laps when time/retired was spun off and the driver was Nick Heidfeld?
SELECT AVG(laps) FROM table_name_60 WHERE time_retired = "spun off" AND driver = "nick heidfeld"
CREATE TABLE table_name_60 (laps INTEGER, time_retired VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 8478, 7, 3, 21342, 17966, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1243, 38...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8478, 7, 61, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 97, 834, 10682, 1271, 3274, 96, 7, 6225, 326, 121, 3430, 2535, 3274, 96, 11191, 3, 88, 23, 26, 5003, 121, 1, -100, -100, -100, -100, ...
What is the sum grid number when the driver was Luciano Burti?
SELECT COUNT(grid) FROM table_name_55 WHERE driver = "luciano burti"
CREATE TABLE table_name_55 (grid VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 3496, 26, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 8634, 381, 116, 8, 2535, 47, 11977, 152, 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, 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, 3769, 549, 17444, 427, 2535, 3274, 96, 11525, 20028, 7018, 17, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which constructor had a laps number bigger than 3 when the driver was Jarno Trulli?
SELECT constructor FROM table_name_5 WHERE laps > 3 AND driver = "jarno trulli"
CREATE TABLE table_name_5 (constructor VARCHAR, laps VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 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, 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, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 6774, 127, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 14941, 7, 2490, 220, 3430, 2535, 3274, 96, 5670, 29, 32, 3, 2666, 195, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the head of household for married filing jointly or qualified widow(er) being $137,051–$208,850
SELECT head_of_household FROM table_name_32 WHERE married_filing_jointly_or_qualified_widow_er_ = "$137,051–$208,850"
CREATE TABLE table_name_32 (head_of_household VARCHAR, married_filing_jointly_or_qualified_widow_er_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 3313, 834, 858, 834, 1840, 6134, 584, 4280, 28027, 6, 4464, 834, 8027, 53, 834, 1927, 77, 17, 120, 834, 127, 834, 23058, 834, 12018, 2381, 834, 49, 834...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 819, 834, 858, 834, 1840, 6134, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 4464, 834, 8027, 53, 834, 1927, 77, 17, 120, 834, 127, 834, 23058, 834, 12018, 2381, 834, 49, 834, 3274, 96, 3229, 24636, 6, 3076, ...
Name the married filing jointly or qualified widow(er) with head of household being $117,451–$190,200
SELECT married_filing_jointly_or_qualified_widow_er_ FROM table_name_61 WHERE head_of_household = "$117,451–$190,200"
CREATE TABLE table_name_61 (married_filing_jointly_or_qualified_widow_er_ VARCHAR, head_of_household VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 1635, 9889, 834, 8027, 53, 834, 1927, 77, 17, 120, 834, 127, 834, 23058, 834, 12018, 2381, 834, 49, 834, 584, 4280, 28027, 6, 819, 834, 858, 834, 1840,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4464, 834, 8027, 53, 834, 1927, 77, 17, 120, 834, 127, 834, 23058, 834, 12018, 2381, 834, 49, 834, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 819, 834, 858, 834, 1840, 6134, 3274, 96, 3229, 20275, 6, 2128, ...
Name the married filing separately for single of $0–$8,350
SELECT married_filing_separately FROM table_name_77 WHERE single = "$0–$8,350"
CREATE TABLE table_name_77 (married_filing_separately VARCHAR, single VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 1635, 9889, 834, 8027, 53, 834, 7, 15, 1893, 342, 120, 584, 4280, 28027, 6, 712, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 4464, 94...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4464, 834, 8027, 53, 834, 7, 15, 1893, 342, 120, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 712, 3274, 96, 3229, 632, 104, 3229, 11864, 16975, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the head of household that has married filing separately of $104,426–$186,475
SELECT head_of_household FROM table_name_89 WHERE married_filing_separately = "$104,426–$186,475"
CREATE TABLE table_name_89 (head_of_household VARCHAR, married_filing_separately VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 3313, 834, 858, 834, 1840, 6134, 584, 4280, 28027, 6, 4464, 834, 8027, 53, 834, 7, 15, 1893, 342, 120, 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, 819, 834, 858, 834, 1840, 6134, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 4464, 834, 8027, 53, 834, 7, 15, 1893, 342, 120, 3274, 96, 3229, 15442, 6, 591, 2688, 104, 3229, 25398, 6, 4177, 17395, 1, -100, -...
Name the marginal ordinary income tax rate that has a head of household of $372,951+
SELECT marginal_ordinary_income_tax_rate FROM table_name_40 WHERE head_of_household = "$372,951+"
CREATE TABLE table_name_40 (marginal_ordinary_income_tax_rate VARCHAR, head_of_household VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 1635, 19604, 40, 834, 29819, 834, 15759, 834, 14727, 834, 2206, 584, 4280, 28027, 6, 819, 834, 858, 834, 1840, 6134, 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, 18777, 834, 29819, 834, 15759, 834, 14727, 834, 2206, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 819, 834, 858, 834, 1840, 6134, 3274, 96, 3229, 4118, 4482, 3301, 536, 1220, 121, 1, -100, -100, -100, -100, -10...
What is the point average for the game that has FGM-FGA of 11-28 and a number smaller than 7?
SELECT AVG(points) FROM table_name_48 WHERE fgm___fga = "11-28" AND number < 7
CREATE TABLE table_name_48 (points INTEGER, fgm___fga VARCHAR, number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 2700, 7, 3, 21342, 17966, 6, 3, 89, 122, 51, 834, 834, 834, 89, 122, 9, 584, 4280, 28027, 6, 381, 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, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 3, 89, 122, 51, 834, 834, 834, 89, 122, 9, 3274, 96, 2596, 18, 2577, 121, 3430, 381, 3, 2, 489, 1, -100, -100, -100, -100, -100, ...
What is the lowest number of floors recorded for buildings built by Dubai Marriott Harbour Hotel & Suites?
SELECT MIN(floors) FROM table_name_82 WHERE name = "dubai marriott harbour hotel & suites"
CREATE TABLE table_name_82 (floors INTEGER, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 20924, 7, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 381, 13, 8242, 4381, 21, 3950, 1192, 57, 9959...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17684, 599, 20924, 7, 61, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 564, 3274, 96, 1259, 9441, 3157, 12884, 17, 26401, 1595, 3, 184, 3132, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the name of the building housing more than 101 floors, that was built after 2006?
SELECT name FROM table_name_55 WHERE year > 2006 AND floors > 101
CREATE TABLE table_name_55 (name VARCHAR, year VARCHAR, floors VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 4350, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 8242, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 740, 3499, 72, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 564, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 215, 2490, 3581, 3430, 8242, 2490, 13736, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the crowd size on 4 july 1981, and a Away team of essendon?
SELECT crowd FROM table_name_41 WHERE date = "4 july 1981" AND away_team = "essendon"
CREATE TABLE table_name_41 (crowd VARCHAR, date VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 75, 3623, 26, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 4374, 81...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4374, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 833, 3274, 96, 591, 3, 2047, 120, 15465, 121, 3430, 550, 834, 11650, 3274, 96, 8185, 2029, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When did essendon play away?
SELECT date FROM table_name_53 WHERE away_team = "essendon"
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, 366, 410, 3, 8185, 2029, 577, 550, 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, 4867, 549, 17444, 427, 550, 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 category won the Sundance Film Festival award in 1998?
SELECT category FROM table_name_95 WHERE result = "won" AND year = 1998 AND award = "sundance film festival"
CREATE TABLE table_name_95 (category VARCHAR, award VARCHAR, result VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 8367, 839, 651, 584, 4280, 28027, 6, 2760, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3295, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 741, 3274, 96, 210, 106, 121, 3430, 215, 3274, 6260, 3430, 2760, 3274, 96, 7, 1106, 663, 814, 3994, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which award category was the film series The Wire nominated for after 2005?
SELECT category FROM table_name_20 WHERE result = "nominated" AND film_or_series = "the wire" AND year > 2005
CREATE TABLE table_name_20 (category VARCHAR, year VARCHAR, result VARCHAR, film_or_series VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 8367, 839, 651, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 814, 834, 127, 834, 10833, 7, 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, 3295, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 741, 3274, 96, 3114, 77, 920, 121, 3430, 814, 834, 127, 834, 10833, 7, 3274, 96, 532, 4107, 121, 3430, 215, 2490, 3105, 1, -100, -100, -100, -100, -100, -100,...
What was the result for the nominee for Outstanding Supporting Actress in a Drama Series in 2009?
SELECT result FROM table_name_43 WHERE category = "outstanding supporting actress in a drama series" AND year = 2009
CREATE TABLE table_name_43 (result VARCHAR, category VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 3295, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 741, 21, 8, 2107...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 741, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 3295, 3274, 96, 670, 11018, 3956, 15676, 16, 3, 9, 6616, 939, 121, 3430, 215, 3274, 2464, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When st kilda played as the away team, what date was that?
SELECT date FROM table_name_67 WHERE away_team = "st kilda"
CREATE TABLE table_name_67 (date VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 5522, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 3, 7, 17, 3, 157, 173, 26, 9, 1944, 38, 8, 550,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 4350, 834, 3708, 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, ...
On what date did Fitzroy play as the home team?
SELECT date FROM table_name_74 WHERE home_team = "fitzroy"
CREATE TABLE table_name_74 (date VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 5522, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 125, 833, 410, 9783, 172, 8170, 577, 38, 8, 234, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4581, 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, -100, -100, -100, -100, -1...
Name the antonio thomas for Hikaru Sato of tanaka (8:09)
SELECT antonio_thomas FROM table_name_24 WHERE hikaru_sato = "tanaka (8:09)"
CREATE TABLE table_name_24 (antonio_thomas VARCHAR, hikaru_sato VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 9, 6992, 23, 32, 834, 189, 32, 2754, 584, 4280, 28027, 6, 7102, 4031, 76, 834, 7, 9, 235, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9, 6992, 23, 32, 834, 189, 32, 2754, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 7102, 4031, 76, 834, 7, 9, 235, 3274, 96, 17, 152, 5667, 13642, 10, 4198, 61, 121, 1, -100, -100, -100, -100, -100, -100...
Tell me the block A for antonio thomas of kondo (13:24)
SELECT block_a FROM table_name_85 WHERE antonio_thomas = "kondo (13:24)"
CREATE TABLE table_name_85 (block_a VARCHAR, antonio_thomas VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 10734, 834, 9, 584, 4280, 28027, 6, 3, 9, 6992, 23, 32, 834, 189, 32, 2754, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 2463, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2463, 834, 9, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 3, 9, 6992, 23, 32, 834, 189, 32, 2754, 3274, 96, 157, 17381, 41, 2368, 10, 2266, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the minoru that has a hikaru sato of x and super crazy of yang (8:36)
SELECT minoru FROM table_name_22 WHERE hikaru_sato = "x" AND super_crazy = "yang (8:36)"
CREATE TABLE table_name_22 (minoru VARCHAR, hikaru_sato VARCHAR, super_crazy VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 1109, 127, 76, 584, 4280, 28027, 6, 7102, 4031, 76, 834, 7, 9, 235, 584, 4280, 28027, 6, 1355, 834, 2935, 4164, 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, 4012, 76, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 7102, 4031, 76, 834, 7, 9, 235, 3274, 96, 226, 121, 3430, 1355, 834, 2935, 4164, 3274, 96, 63, 1468, 13642, 10, 3420, 61, 121, 1, -100, -100, -100, -100...
Atlanta was a visitor on December 8, what was their record?
SELECT record FROM table_name_68 WHERE visitor = "atlanta"
CREATE TABLE table_name_68 (record VARCHAR, visitor VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 60, 7621, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 9673, 47, 3, 9, 7019, 30, 1882, 9478, 125, 47, 70, 1368, 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, 1368, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 7019, 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, -1...
Tell me the team which has matches of 13
SELECT team FROM table_name_43 WHERE matches = 13
CREATE TABLE table_name_43 (team VARCHAR, matches VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 11650, 584, 4280, 28027, 6, 6407, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 372, 84, 65, 6407, 13, 1179, 1, 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, 372, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 6407, 3274, 1179, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Tell me the sum of win % for drawn being larger than 35
SELECT SUM(win__percentage) FROM table_name_55 WHERE drawn > 35
CREATE TABLE table_name_55 (win__percentage INTEGER, drawn INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 3757, 834, 834, 883, 3728, 545, 3, 21342, 17966, 6, 6796, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 4505, 13, 1369, 3, 1454, 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, 180, 6122, 599, 3757, 834, 834, 883, 3728, 545, 61, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 6796, 2490, 3097, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the most win % for 13 drawn
SELECT MAX(win__percentage) FROM table_name_91 WHERE drawn = 13
CREATE TABLE table_name_91 (win__percentage INTEGER, drawn VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 3757, 834, 834, 883, 3728, 545, 3, 21342, 17966, 6, 6796, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 167, 1369, 3, 1454, 21, 1179, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 3757, 834, 834, 883, 3728, 545, 61, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 6796, 3274, 1179, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the average lost for matches of 6
SELECT AVG(lost) FROM table_name_53 WHERE matches = 6
CREATE TABLE table_name_53 (lost INTEGER, matches VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 2298, 17, 3, 21342, 17966, 6, 6407, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 1348, 1513, 21, 6407, 13, 431, 1, 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, 71, 17217, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 6407, 3274, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the time recorded for grid 18?
SELECT time_retired FROM table_name_89 WHERE grid = 18
CREATE TABLE table_name_89 (time_retired VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 97, 4381, 21, 8634, 507, 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, 97, 834, 10682, 1271, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 8634, 3274, 507, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What catalogue has a track less than 16 and 2/3/56 recorded with a song titled Lawdy Miss Clawdy?
SELECT catalogue FROM table_name_83 WHERE track < 16 AND recorded = "2/3/56" AND song_title = "lawdy miss clawdy"
CREATE TABLE table_name_83 (catalogue VARCHAR, song_title VARCHAR, track VARCHAR, recorded VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 2138, 9, 10384, 584, 4280, 28027, 6, 2324, 834, 21869, 584, 4280, 28027, 6, 1463, 584, 4280, 28027, 6, 4381, 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, 14978, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 1463, 3, 2, 898, 3430, 4381, 3274, 96, 15896, 15020, 4834, 121, 3430, 2324, 834, 21869, 3274, 96, 4207, 26, 63, 3041, 27331, 26, 63, 121, 1, -100, -100, -100...
What is the highest track for the song Rip it Up?
SELECT MAX(track) FROM table_name_87 WHERE song_title = "rip it up"
CREATE TABLE table_name_87 (track INTEGER, song_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4225, 41, 11991, 3, 21342, 17966, 6, 2324, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 1463, 21, 8, 2324, 2403, 102, 34, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 11991, 61, 21680, 953, 834, 4350, 834, 4225, 549, 17444, 427, 2324, 834, 21869, 3274, 96, 5082, 34, 95, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the sum of every track with a catalogue of EPA 4054 with a 2:05 length?
SELECT SUM(track) FROM table_name_12 WHERE catalogue = "epa 4054" AND time = "2:05"
CREATE TABLE table_name_12 (track INTEGER, catalogue VARCHAR, time VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 11991, 3, 21342, 17966, 6, 14978, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 13, 334, 1463, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 11991, 61, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 14978, 3274, 96, 15, 102, 9, 1283, 5062, 121, 3430, 97, 3274, 96, 357, 10, 3076, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What catalogue has a length of 2:10?
SELECT catalogue FROM table_name_82 WHERE time = "2:10"
CREATE TABLE table_name_82 (catalogue VARCHAR, time VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 2138, 9, 10384, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 14978, 65, 3, 9, 2475, 13, 27078, 632, 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, 14978, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 97, 3274, 96, 357, 10, 1714, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
When was the release date of a track greater than 4, 1/12/57 recorded, and a length of 2:31?
SELECT release_date FROM table_name_59 WHERE track > 4 AND recorded = "1/12/57" AND time = "2:31"
CREATE TABLE table_name_59 (release_date VARCHAR, time VARCHAR, track VARCHAR, recorded VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 21019, 834, 5522, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 6, 1463, 584, 4280, 28027, 6, 4381, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1576, 834, 5522, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 1463, 2490, 314, 3430, 4381, 3274, 96, 536, 18009, 87, 3436, 121, 3430, 97, 3274, 96, 357, 10, 3341, 121, 1, -100, -100, -100, -100, -100, -100, -1...
When was the cataglogue EPA 4054 released with a 1/12/57 recorded?
SELECT release_date FROM table_name_31 WHERE catalogue = "epa 4054" AND recorded = "1/12/57"
CREATE TABLE table_name_31 (release_date VARCHAR, catalogue VARCHAR, recorded VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 21019, 834, 5522, 584, 4280, 28027, 6, 14978, 584, 4280, 28027, 6, 4381, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 8, 212, 2408, 1038...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1576, 834, 5522, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 14978, 3274, 96, 15, 102, 9, 1283, 5062, 121, 3430, 4381, 3274, 96, 536, 18009, 87, 3436, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
Tell me the school with a height of 6-9
SELECT school FROM table_name_82 WHERE height = "6-9"
CREATE TABLE table_name_82 (school VARCHAR, height VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 6646, 584, 4280, 28027, 6, 3902, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 496, 28, 3, 9, 3902, 13, 431, 7141, 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, 496, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 3902, 3274, 96, 948, 7141, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which school did the player have a height of 6-4?
SELECT school FROM table_name_65 WHERE height = "6-4"
CREATE TABLE table_name_65 (school VARCHAR, height VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 6646, 584, 4280, 28027, 6, 3902, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 496, 410, 8, 1959, 43, 3, 9, 3902, 13, 3, 25618, 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, 496, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 3902, 3274, 96, 25618, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Tell me the college that paul davis went to
SELECT college FROM table_name_32 WHERE player = "paul davis"
CREATE TABLE table_name_32 (college VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 3297, 7883, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 1900, 24, 2576, 83, 836, 3466, 877, 12, 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, 1900, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 1959, 3274, 96, 102, 9, 83, 836, 3466, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Tell me the school that jason fraser went to
SELECT school FROM table_name_14 WHERE player = "jason fraser"
CREATE TABLE table_name_14 (school VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 6646, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 496, 24, 2662, 739, 8072, 7, 49, 877, 12, 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, 2534, 549, 17444, 427, 1959, 3274, 96, 1191, 739, 8072, 7, 49, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the result of the game with 68,436 attending?
SELECT result FROM table_name_98 WHERE attendance = "68,436"
CREATE TABLE table_name_98 (result VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 741, 13, 8, 467, 28, 3, 3651, 6, 591, 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, 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, 11364, 3274, 96, 3651, 6, 591, 3420, 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 NBA Draft status of the person who went to college at LSU?
SELECT nba_draft FROM table_name_38 WHERE college = "lsu"
CREATE TABLE table_name_38 (nba_draft VARCHAR, college VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 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, 21409, 2637, 13, 8, 568,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 29, 115, 9, 834, 26, 10913, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 1900, 3274, 96, 40, 7, 76, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Player Kenny Williams' Height?
SELECT height FROM table_name_53 WHERE player = "kenny williams"
CREATE TABLE table_name_53 (height VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 88, 2632, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 12387, 5704, 29, 63, 6060, 31, 24231, 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, 3902, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 1959, 3274, 96, 9376, 63, 56, 23, 265, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What School did Player Billy Owens attend?
SELECT school FROM table_name_37 WHERE player = "billy owens"
CREATE TABLE table_name_37 (school VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 6646, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1121, 410, 12387, 17724, 20412, 7, 2467, 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, 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, 496, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 1959, 3274, 96, 3727, 120, 3, 2381, 35, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What School did Player Alonzo Mourning attend?
SELECT school FROM table_name_74 WHERE player = "alonzo mourning"
CREATE TABLE table_name_74 (school VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 6646, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1121, 410, 12387, 901, 32, 20547, 283, 1211, 29, 53, 2467, 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...
[ 3, 23143, 14196, 496, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 1959, 3274, 96, 138, 32, 20547, 24746, 53, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many bronze's on average for nations with over 1 total, less than 2 golds, ranked 2nd?
SELECT AVG(bronze) FROM table_name_16 WHERE total > 1 AND gold < 2 AND rank = 2
CREATE TABLE table_name_16 (bronze INTEGER, rank VARCHAR, total VARCHAR, gold VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 13711, 776, 3, 21342, 17966, 6, 11003, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 6, 2045, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 13711, 776, 61, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 792, 2490, 209, 3430, 2045, 3, 2, 204, 3430, 11003, 3274, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many silvers on average for nations with less than 3 total, ranked 6, and over 1 bronze?
SELECT AVG(silver) FROM table_name_89 WHERE total < 3 AND rank = 6 AND bronze > 1
CREATE TABLE table_name_89 (silver INTEGER, bronze VARCHAR, total VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 7, 173, 624, 3, 21342, 17966, 6, 13467, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7, 173, 624, 61, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 792, 3, 2, 220, 3430, 11003, 3274, 431, 3430, 13467, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the date of the Cubs game when the Cubs had a record of 1-0?
SELECT date FROM table_name_2 WHERE record = "1-0"
CREATE TABLE table_name_2 (date VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 5522, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 833, 13, 8, 18640, 7, 467, 116, 8, 18640, 7, 141, 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, 833, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 1368, 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, ...
Who did the Cubs play when they had a record of 4-4?
SELECT opponent FROM table_name_56 WHERE record = "4-4"
CREATE TABLE table_name_56 (opponent VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 32, 102, 9977, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 410, 8, 18640, 7, 577, 116, 79, 141, 3, 9, 1368, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4834, 549, 17444, 427, 1368, 3274, 96, 591, 18, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the frequency of WMAD?
SELECT frequency FROM table_name_21 WHERE call_letters = "wmad"
CREATE TABLE table_name_21 (frequency VARCHAR, call_letters VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 30989, 584, 4280, 28027, 6, 580, 834, 16024, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7321, 13, 3, 16727, 6762, 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, 7321, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 580, 834, 16024, 7, 3274, 96, 210, 11374, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the lfop 5/11/09 with opinion way of 5/11/09 of 2% and lpsos 3/14/09 of 2%
SELECT ifop_5_11_09 FROM table_name_23 WHERE opinionway_5_11_09 = "2%" AND ipsos_3_14_09 = "2%"
CREATE TABLE table_name_23 (ifop_5_11_09 VARCHAR, opinionway_5_11_09 VARCHAR, ipsos_3_14_09 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 99, 32, 102, 834, 755, 834, 2596, 834, 4198, 584, 4280, 28027, 6, 3474, 1343, 834, 755, 834, 2596, 834, 4198, 584, 4280, 28027, 6, 3, 15432, 32, 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, 3, 99, 32, 102, 834, 755, 834, 2596, 834, 4198, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 3474, 1343, 834, 755, 834, 2596, 834, 4198, 3274, 96, 5406, 121, 3430, 3, 15432, 32, 7, 834, 519, 834, 2534, 834, ...
Name the lfop 4/24/09 for opinionway of 4/17/09 of 5% for party of left front
SELECT ifop_4_24_09 FROM table_name_43 WHERE opinionway_4_17_09 = "5%" AND party = "left front"
CREATE TABLE table_name_43 (ifop_4_24_09 VARCHAR, opinionway_4_17_09 VARCHAR, party VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 99, 32, 102, 834, 591, 834, 2266, 834, 4198, 584, 4280, 28027, 6, 3474, 1343, 834, 591, 834, 2517, 834, 4198, 584, 4280, 28027, 6, 1088, 584, 4280, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 99, 32, 102, 834, 591, 834, 2266, 834, 4198, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 3474, 1343, 834, 591, 834, 2517, 834, 4198, 3274, 96, 2712, 121, 3430, 1088, 3274, 96, 17068, 851, 121, 1, -100, -...
Name the lfop for 5/11/09 with lfop 1/9/09 of 5%
SELECT ifop_5_11_09 FROM table_name_18 WHERE ifop_1_9_09 = "5%"
CREATE TABLE table_name_18 (ifop_5_11_09 VARCHAR, ifop_1_9_09 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 99, 32, 102, 834, 755, 834, 2596, 834, 4198, 584, 4280, 28027, 6, 3, 99, 32, 102, 834, 536, 834, 1298, 834, 4198, 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, 3, 99, 32, 102, 834, 755, 834, 2596, 834, 4198, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 3, 99, 32, 102, 834, 536, 834, 1298, 834, 4198, 3274, 96, 2712, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
Name the csa 4/16/09 for opinionway being 4/17/09 of 12%
SELECT csa_4_16_09 FROM table_name_17 WHERE opinionway_4_17_09 = "12%"
CREATE TABLE table_name_17 (csa_4_16_09 VARCHAR, opinionway_4_17_09 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 75, 7, 9, 834, 591, 834, 2938, 834, 4198, 584, 4280, 28027, 6, 3474, 1343, 834, 591, 834, 2517, 834, 4198, 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, 3, 75, 7, 9, 834, 591, 834, 2938, 834, 4198, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 3474, 1343, 834, 591, 834, 2517, 834, 4198, 3274, 96, 26821, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the lpsos 3/14/09 for opinionway of 4/17/09 of 5% and lfof 11/12/08 of 7%
SELECT ipsos_3_14_09 FROM table_name_33 WHERE ifop_11_12_08 = "7%" AND opinionway_4_17_09 = "5%"
CREATE TABLE table_name_33 (ipsos_3_14_09 VARCHAR, ifop_11_12_08 VARCHAR, opinionway_4_17_09 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 15432, 32, 7, 834, 519, 834, 2534, 834, 4198, 584, 4280, 28027, 6, 3, 99, 32, 102, 834, 2596, 834, 2122, 834, 4018, 584, 4280, 28027, 6, 3474, 1343, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15432, 32, 7, 834, 519, 834, 2534, 834, 4198, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 3, 99, 32, 102, 834, 2596, 834, 2122, 834, 4018, 3274, 96, 6170, 121, 3430, 3474, 1343, 834, 591, 834, 2517, 834,...
Name the 2004 results for npa
SELECT results_2004 FROM table_name_18 WHERE party = "npa"
CREATE TABLE table_name_18 (results_2004 VARCHAR, party VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 60, 7, 83, 17, 7, 834, 21653, 584, 4280, 28027, 6, 1088, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 4406, 772, 21, 3, 29, 102, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 772, 834, 21653, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 1088, 3274, 96, 29, 102, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the decision when Tampa Bay was the visitor?
SELECT decision FROM table_name_14 WHERE visitor = "tampa bay"
CREATE TABLE table_name_14 (decision VARCHAR, visitor VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 221, 18901, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1357, 116, 18855, 2474, 47, 8, 7019, 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, 1357, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 7019, 3274, 96, 17, 4624, 9, 10210, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which visitor visited on February 21?
SELECT visitor FROM table_name_14 WHERE date = "february 21"
CREATE TABLE table_name_14 (visitor VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 3466, 155, 127, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7019, 5251, 30, 2083, 1401, 58, 1, 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, 7019, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 833, 3274, 96, 89, 15, 9052, 1208, 1401, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What date is the Victoria Park venue?
SELECT date FROM table_name_3 WHERE venue = "victoria park"
CREATE TABLE table_name_3 (date VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 5522, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 833, 19, 8, 7488, 1061, 5669, 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, 833, 21680, 953, 834, 4350, 834, 519, 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, -100, -100, -100, -100, -100, -10...
What Away team is from Fitzroy?
SELECT away_team FROM table_name_16 WHERE home_team = "fitzroy"
CREATE TABLE table_name_16 (away_team VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 71, 1343, 372, 19, 45, 9783, 172, 8170,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2938, 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, -100, -100, -1...
Who was the home team that played the Lakers?
SELECT home FROM table_name_85 WHERE visitor = "lakers"
CREATE TABLE table_name_85 (home VARCHAR, visitor VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 5515, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 234, 372, 24, 1944, 8, 325, 11758, 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, 234, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 7019, 3274, 96, 521, 11758, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which tournament had a 2008 result of 1R?
SELECT tournament FROM table_name_85 WHERE 2006 = "a" AND 2008 = "1r"
CREATE TABLE table_name_85 (tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 17, 1211, 20205, 17, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5892, 141, 3, 9, 2628, 741, 13, 209, 448, 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, 5892, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 3581, 3274, 96, 9, 121, 3430, 2628, 3274, 96, 536, 52, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which tournament in 2012 had a 2007 and 2011 finishes of "A"?
SELECT 2012 FROM table_name_91 WHERE 2007 = "a" AND 2011 = "a"
CREATE TABLE table_name_91 (Id VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 196, 26, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5892, 16, 1673, 141, 3, 9, 4101, 11, 2722, 13084, 13, 96, 188, 121, 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, 1673, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 4101, 3274, 96, 9, 121, 3430, 2722, 3274, 96, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which tournament in 2013 had a 2010 finish of 1R?
SELECT 2013 FROM table_name_44 WHERE 2006 = "a" AND 2010 = "1r"
CREATE TABLE table_name_44 (Id VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 196, 26, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5892, 16, 2038, 141, 3, 9, 2735, 1992, 13, 209, 448, 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, 2038, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 3581, 3274, 96, 9, 121, 3430, 2735, 3274, 96, 536, 52, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which home team score has an Away team of melbourne?
SELECT home_team AS score FROM table_name_71 WHERE away_team = "melbourne"
CREATE TABLE table_name_71 (home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 234, 372, 2604, 65, 46, 71, 1343, 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, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 4450, 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, -100, ...
What is the highest crowd for Home team of geelong?
SELECT MAX(crowd) FROM table_name_47 WHERE home_team = "geelong"
CREATE TABLE table_name_47 (crowd INTEGER, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 75, 3623, 26, 3, 21342, 17966, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 4374, 21, 1210, 372, 13, 873,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 234, 834, 11650, 3274, 96, 397, 15, 2961, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the year when the performance is 60.73m and the age (years) is more than 45?
SELECT COUNT(year) FROM table_name_85 WHERE performance = "60.73m" AND age__years_ > 45
CREATE TABLE table_name_85 (year VARCHAR, performance VARCHAR, age__years_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 1201, 584, 4280, 28027, 6, 821, 584, 4280, 28027, 6, 1246, 834, 834, 1201, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 215...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1201, 61, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 821, 3274, 96, 3328, 5, 4552, 51, 121, 3430, 1246, 834, 834, 1201, 7, 834, 2490, 3479, 1, -100, -100, -100, -100, -100, -100, -100, -100...
What is the highest age (years) that the 1st place had a performance of 62.20m?
SELECT MAX(age__years_) FROM table_name_45 WHERE place = "1st" AND performance = "62.20m"
CREATE TABLE table_name_45 (age__years_ INTEGER, place VARCHAR, performance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 545, 834, 834, 1201, 7, 834, 3, 21342, 17966, 6, 286, 584, 4280, 28027, 6, 821, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 545, 834, 834, 1201, 7, 834, 61, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 286, 3274, 96, 536, 7, 17, 121, 3430, 821, 3274, 96, 4056, 5, 1755, 51, 121, 1, -100, -100, -100, -100, -100, -10...
What is the place when the performance is 60.73m?
SELECT place FROM table_name_65 WHERE performance = "60.73m"
CREATE TABLE table_name_65 (place VARCHAR, performance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 4687, 584, 4280, 28027, 6, 821, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 286, 116, 8, 821, 19, 1640, 5, 4552, 51, 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, 286, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 821, 3274, 96, 3328, 5, 4552, 51, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the kaz hayashi with block A of Shuji Kondo
SELECT kaz_hayashi FROM table_name_47 WHERE block_a = "shuji kondo"
CREATE TABLE table_name_47 (kaz_hayashi VARCHAR, block_a VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 1258, 172, 834, 12687, 17155, 584, 4280, 28027, 6, 2463, 834, 9, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 3, 1258, 172, 3, 12687, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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...
[ 3, 23143, 14196, 3, 1258, 172, 834, 12687, 17155, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 2463, 834, 9, 3274, 96, 14279, 354, 23, 3, 157, 17381, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the block A for shuji kondo
SELECT block_a FROM table_name_93 WHERE toshizo = "shuji kondo"
CREATE TABLE table_name_93 (block_a VARCHAR, toshizo VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 10734, 834, 9, 584, 4280, 28027, 6, 12, 7, 107, 14406, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 2463, 71, 21, 3, 14279, 354, 23, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2463, 834, 9, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 12, 7, 107, 14406, 3274, 96, 14279, 354, 23, 3, 157, 17381, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the NOSAWA Rongai for petey williams
SELECT nosawa_rongai FROM table_name_97 WHERE block_a = "petey williams"
CREATE TABLE table_name_97 (nosawa_rongai VARCHAR, block_a VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 4844, 7396, 834, 52, 2444, 9, 23, 584, 4280, 28027, 6, 2463, 834, 9, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 5693, 4507, 12054, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2844, 7396, 834, 52, 2444, 9, 23, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 2463, 834, 9, 3274, 96, 4995, 15, 63, 56, 23, 265, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score when Nannette Hill was the champion?
SELECT score FROM table_name_61 WHERE champion = "nannette hill"
CREATE TABLE table_name_61 (score VARCHAR, champion VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 7, 9022, 584, 4280, 28027, 6, 6336, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 116, 15206, 29, 1954, 3588, 47, 8, 6336, 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, 2604, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 6336, 3274, 96, 29, 152, 29, 1954, 9956, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What score did the opposing home team have against Melbourne
SELECT home_team AS score FROM table_name_74 WHERE away_team = "melbourne"
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, 2604, 410, 8, 10720, 53, 234, 372, 43, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 4581, 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, -100, ...
Name the venue where St Kilda was the opposing away team
SELECT venue FROM table_name_76 WHERE away_team = "st kilda"
CREATE TABLE table_name_76 (venue VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 15098, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 5669, 213, 472, 12672, 26, 9, 47, 8, 10720, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5669, 21680, 953, 834, 4350, 834, 3959, 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, ...
Which Date has a Venue of lake oval?
SELECT date FROM table_name_36 WHERE venue = "lake oval"
CREATE TABLE table_name_36 (date VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 5522, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7678, 65, 3, 9, 29940, 13, 6957, 17986, 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, 3420, 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,...
Which Crowd has an Away team of collingwood?
SELECT SUM(crowd) FROM table_name_79 WHERE away_team = "collingwood"
CREATE TABLE table_name_79 (crowd INTEGER, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 75, 3623, 26, 3, 21342, 17966, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 15343, 26, 65, 46, 71, 1343, 372, 13, 802...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 4440, 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, ...
When Steve Hazlett is the Player, and the PI GP is under 0, what is the average Rd #?
SELECT AVG(rd__number) FROM table_name_82 WHERE player = "steve hazlett" AND pl_gp < 0
CREATE TABLE table_name_82 (rd__number INTEGER, player VARCHAR, pl_gp VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 52, 26, 834, 834, 5525, 1152, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 6, 4752, 834, 122, 102, 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, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 52, 26, 834, 834, 5525, 1152, 61, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 1959, 3274, 96, 849, 162, 3, 10557, 1655, 17, 121, 3430, 4752, 834, 122, 102, 3, 2, 3, 632, 1, -100, -100, -10...
Which Player has a PI GP over 0 and a Rd # of 1?
SELECT player FROM table_name_71 WHERE pl_gp > 0 AND rd__number = 1
CREATE TABLE table_name_71 (player VARCHAR, pl_gp VARCHAR, rd__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 20846, 584, 4280, 28027, 6, 4752, 834, 122, 102, 584, 4280, 28027, 6, 3, 52, 26, 834, 834, 5525, 1152, 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, 1959, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 4752, 834, 122, 102, 2490, 3, 632, 3430, 3, 52, 26, 834, 834, 5525, 1152, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which Pick # is the highest and has the Rd # is under 1?
SELECT MAX(pick__number) FROM table_name_9 WHERE rd__number < 1
CREATE TABLE table_name_9 (pick__number INTEGER, rd__number INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 17967, 834, 834, 5525, 1152, 3, 21342, 17966, 6, 3, 52, 26, 834, 834, 5525, 1152, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 4073, 8356, 1713, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 17967, 834, 834, 5525, 1152, 61, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 3, 52, 26, 834, 834, 5525, 1152, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the lowest PI GP when the Reg GP is 1, Murray Bannerman is the Player, and the Pick # is under 58?
SELECT MIN(pl_gp) FROM table_name_53 WHERE reg_gp = 1 AND player = "murray bannerman" AND pick__number < 58
CREATE TABLE table_name_53 (pl_gp INTEGER, pick__number VARCHAR, reg_gp VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 102, 40, 834, 122, 102, 3, 21342, 17966, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 5925, 834, 122, 102, 584, 4280, 28027, 6, 1959, 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, 3, 17684, 599, 102, 40, 834, 122, 102, 61, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 5925, 834, 122, 102, 3274, 209, 3430, 1959, 3274, 96, 11054, 2866, 11662, 348, 121, 3430, 1432, 834, 834, 5525, 1152, 3, ...
Tell me the average top 25 with events of 5 and cuts madde less than 3
SELECT AVG(top_25) FROM table_name_33 WHERE events = 5 AND cuts_made < 3
CREATE TABLE table_name_33 (top_25 INTEGER, events VARCHAR, cuts_made VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 2916, 834, 1828, 3, 21342, 17966, 6, 984, 584, 4280, 28027, 6, 8620, 834, 4725, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 1348, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 2916, 834, 1828, 61, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 984, 3274, 305, 3430, 8620, 834, 4725, 3, 2, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Tell me the highest cuts made with wins more than 1
SELECT MAX(cuts_made) FROM table_name_5 WHERE wins > 1
CREATE TABLE table_name_5 (cuts_made INTEGER, wins INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 3044, 7, 834, 4725, 3, 21342, 17966, 6, 9204, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 2030, 8620, 263, 28, 9204, 72, 145, 209,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 3044, 7, 834, 4725, 61, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 9204, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
I want to know the highest wins for cuts made more than 5
SELECT MAX(wins) FROM table_name_71 WHERE cuts_made > 5
CREATE TABLE table_name_71 (wins INTEGER, cuts_made INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 3757, 7, 3, 21342, 17966, 6, 8620, 834, 4725, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 27, 241, 12, 214, 8, 2030, 9204, 21, 8620, 263, 72, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 8620, 834, 4725, 2490, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Tell me the sum of top 5 with events less than 12 and top 25 less than 0
SELECT SUM(top_5) FROM table_name_98 WHERE events < 12 AND top_25 < 0
CREATE TABLE table_name_98 (top_5 INTEGER, events VARCHAR, top_25 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 2916, 834, 755, 3, 21342, 17966, 6, 984, 584, 4280, 28027, 6, 420, 834, 1828, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 4505, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 2916, 834, 9120, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 984, 3, 2, 586, 3430, 420, 834, 1828, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the biggest crowd when South Melbourne was an away team?
SELECT MAX(crowd) FROM table_name_94 WHERE away_team = "south melbourne"
CREATE TABLE table_name_94 (crowd INTEGER, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 75, 3623, 26, 3, 21342, 17966, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2630, 4374, 116, 1013, 9396, 47, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 4240, 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, ...
How many people attended the game on 8 March 2008?
SELECT SUM(attendance) FROM table_name_9 WHERE date = "8 march 2008"
CREATE TABLE table_name_9 (attendance INTEGER, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 15116, 663, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 151, 5526, 8, 467, 30, 505, 1332, 2628, 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, 180, 6122, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 833, 3274, 96, 927, 10556, 2628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the Away team score when they played Geelong as the Home team?
SELECT away_team AS score FROM table_name_15 WHERE home_team = "geelong"
CREATE TABLE table_name_15 (away_team VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 71, 1343, 372, 2604, 116, 79, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 234, 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 did Carlton score when they were the Home team?
SELECT home_team AS score FROM table_name_73 WHERE home_team = "carlton"
CREATE TABLE table_name_73 (home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 5515, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 410, 3, 30339, 2604, 116, 79, 130, 8, 1210, 372, 58, 1, 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, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 4552, 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, ...