Datasets:
AayushShah
/
Univeral_SQL_Three_Datasets_Combined_WithText_IDs

Dataset card Data Studio Files
xet
 Community
1
NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
What is Score, when Country is United States, and when Player is "Arnold Palmer"?
SELECT score FROM table_name_93 WHERE country = "united states" AND player = "arnold palmer"
CREATE TABLE table_name_93 (score VARCHAR, country VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 7, 9022, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 17763, 6, 116, 6993, 19, 90...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2604, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 684, 3274, 96, 15129, 15, 26, 2315, 121, 3430, 1959, 3274, 96, 291, 29, 1490, 8466, 49, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is To Par, when Country is United States, and when Score is 71-68-73=212?
SELECT to_par FROM table_name_22 WHERE country = "united states" AND score = 71 - 68 - 73 = 212
CREATE TABLE table_name_22 (to_par VARCHAR, country VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 235, 834, 1893, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 304, 2180, 6, 116, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 12, 834, 1893, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 684, 3274, 96, 15129, 15, 26, 2315, 121, 3430, 2604, 3274, 3, 4450, 3, 18, 3, 3651, 3, 18, 3, 4552, 3274, 3, 24837, 1, -100, -100, -100, -100, -1...
What is Player, when Country is United States, and when Score is 70-72-70=212?
SELECT player FROM table_name_1 WHERE country = "united states" AND score = 70 - 72 - 70 = 212
CREATE TABLE table_name_1 (player VARCHAR, country VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 20846, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 12387, 6, 116, 6993, 19, 907, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1959, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 684, 3274, 96, 15129, 15, 26, 2315, 121, 3430, 2604, 3274, 2861, 3, 18, 9455, 3, 18, 2861, 3274, 3, 24837, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Country, when Player is "Billy Maxwell"?
SELECT country FROM table_name_77 WHERE player = "billy maxwell"
CREATE TABLE table_name_77 (country VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 17529, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 6993, 6, 116, 12387, 19, 96, 279, 173, 120, 5370, 2091, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 684, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 1959, 3274, 96, 3727, 120, 9858, 2091, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who has a react smaller than 0.149 and a lane smaller than 6?
SELECT name FROM table_name_23 WHERE react < 0.149 AND lane < 6
CREATE TABLE table_name_23 (name VARCHAR, react VARCHAR, lane VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 4350, 584, 4280, 28027, 6, 8922, 584, 4280, 28027, 6, 3, 8102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 65, 3, 9, 8922, 2755, 145, 40...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2773, 549, 17444, 427, 8922, 3, 2, 4097, 24816, 3430, 3, 8102, 3, 2, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the lowest lane with a mark of 7.26?
SELECT MIN(lane) FROM table_name_50 WHERE mark = "7.26"
CREATE TABLE table_name_50 (lane INTEGER, mark VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 8102, 3, 21342, 17966, 6, 3946, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 7402, 3, 8102, 28, 3, 9, 3946, 13, 4306, 2688, 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, 3, 17684, 599, 8102, 61, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 3946, 3274, 96, 25791, 948, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the maximum number of games when the season is more recent than 2001 and the average is less than 10,838?
SELECT MAX(games) FROM table_name_90 WHERE season > 2001 AND average < 10 OFFSET 838
CREATE TABLE table_name_90 (games INTEGER, season VARCHAR, average VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 7261, 7, 3, 21342, 17966, 6, 774, 584, 4280, 28027, 6, 1348, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2411, 381, 13, 1031, 116,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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...
[ 3, 23143, 14196, 4800, 4, 599, 7261, 7, 61, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 774, 2490, 4402, 3430, 1348, 3, 2, 335, 3, 15316, 20788, 505, 3747, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the number of clubs for Shenyang Ginde when there were more than 182 games?
SELECT COUNT(no_of_clubs) FROM table_name_10 WHERE team = "shenyang ginde" AND games > 182
CREATE TABLE table_name_10 (no_of_clubs VARCHAR, team VARCHAR, games VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 29, 32, 834, 858, 834, 13442, 7, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 1031, 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, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 29, 32, 834, 858, 834, 13442, 7, 61, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 372, 3274, 96, 7, 3225, 63, 1468, 3, 122, 77, 221, 121, 3430, 1031, 2490, 507, 357, 1, -100, -100, -100, ...
What is the smallest average for Beijing Guo'an when they played more than 240 games?
SELECT MIN(average) FROM table_name_26 WHERE team = "beijing guo'an" AND games > 240
CREATE TABLE table_name_26 (average INTEGER, team VARCHAR, games VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 28951, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 1031, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 17924, 1348, 21, 14465, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 28951, 61, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 372, 3274, 96, 5358, 354, 53, 3, 1744, 32, 31, 152, 121, 3430, 1031, 2490, 3, 11944, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average pick number for Washington State?
SELECT AVG(pick) FROM table_name_32 WHERE school = "washington state"
CREATE TABLE table_name_32 (pick INTEGER, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 17967, 3, 21342, 17966, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 1432, 381, 21, 2386, 1015, 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, 71, 17217, 599, 17967, 61, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 496, 3274, 96, 14710, 6029, 538, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Comments has a Length Over All of 4.5m?
SELECT comments FROM table_name_56 WHERE length_over_all = "4.5m"
CREATE TABLE table_name_56 (comments VARCHAR, length_over_all VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 287, 4128, 584, 4280, 28027, 6, 2475, 834, 1890, 834, 1748, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 16243, 65, 3, 9, 312, 1725, 189, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2622, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 2475, 834, 1890, 834, 1748, 3274, 96, 12451, 51, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Crew has Comments of daggerboards. design: roy seaman?
SELECT crew FROM table_name_49 WHERE comments = "daggerboards. design: roy seaman"
CREATE TABLE table_name_49 (crew VARCHAR, comments VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 5045, 210, 584, 4280, 28027, 6, 2622, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 16233, 65, 16243, 13, 836, 6938, 1976, 7, 5, 408, 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, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4627, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 2622, 3274, 96, 26, 9, 6938, 1976, 7, 5, 408, 10, 3, 8170, 13589, 29, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Comments has a Model of 18sq?
SELECT comments FROM table_name_30 WHERE model = "18sq"
CREATE TABLE table_name_30 (comments VARCHAR, model VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 287, 4128, 584, 4280, 28027, 6, 825, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 16243, 65, 3, 9, 5154, 13, 507, 7, 1824, 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, 2622, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 825, 3274, 96, 2606, 7, 1824, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Model has Comments of curved daggerboards. design: morelli und melvin?
SELECT model FROM table_name_61 WHERE comments = "curved daggerboards. design: morelli und melvin"
CREATE TABLE table_name_61 (model VARCHAR, comments VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 21770, 584, 4280, 28027, 6, 2622, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5154, 65, 16243, 13, 3, 21870, 836, 6938, 1976, 7, 5, 408, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 825, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 2622, 3274, 96, 21870, 836, 6938, 1976, 7, 5, 408, 10, 72, 195, 23, 64, 3, 2341, 2494, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Beam has a Model of 570?
SELECT beam FROM table_name_17 WHERE model = "570"
CREATE TABLE table_name_17 (beam VARCHAR, model VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 346, 265, 584, 4280, 28027, 6, 825, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 493, 265, 65, 3, 9, 5154, 13, 3, 28363, 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, 11638, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 825, 3274, 96, 28363, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Model has a Sail Area of 24.5 m²?
SELECT model FROM table_name_75 WHERE sail_area = "24.5 m²"
CREATE TABLE table_name_75 (model VARCHAR, sail_area VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 21770, 584, 4280, 28027, 6, 14725, 834, 498, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5154, 65, 3, 9, 1138, 173, 5690, 13, 204, 12451, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 825, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 14725, 834, 498, 3274, 96, 357, 12451, 3, 51, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the sum of the game numbers for games with less than 30 points?
SELECT SUM(game) FROM table_name_41 WHERE points < 30
CREATE TABLE table_name_41 (game INTEGER, points INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 7261, 3, 21342, 17966, 6, 979, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 13, 8, 467, 2302, 21, 1031, 28, 705, 145, 604, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 7261, 61, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 979, 3, 2, 604, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Where was the game against the buffalo sabres?
SELECT location FROM table_name_27 WHERE opponent = "buffalo sabres"
CREATE TABLE table_name_27 (location VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 14836, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 47, 8, 467, 581, 8, 30964, 3, 7, 9, 1999, 7, 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, 1128, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 15264, 3274, 96, 115, 2999, 138, 32, 3, 7, 9, 1999, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the highest BR number with a SECR number of 765?
SELECT MAX(br_no) FROM table_name_39 WHERE secr_no = 765
CREATE TABLE table_name_39 (br_no INTEGER, secr_no VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 115, 52, 834, 29, 32, 3, 21342, 17966, 6, 4220, 52, 834, 29, 32, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 3, 6934, 381,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 115, 52, 834, 29, 32, 61, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 4220, 52, 834, 29, 32, 3274, 489, 4122, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is Beyer Peacock's SR number with a SECR number of 769?
SELECT AVG(sr_no) FROM table_name_10 WHERE builder = "beyer peacock" AND secr_no = 769
CREATE TABLE table_name_10 (sr_no INTEGER, builder VARCHAR, secr_no VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 7, 52, 834, 29, 32, 3, 21342, 17966, 6, 918, 49, 584, 4280, 28027, 6, 4220, 52, 834, 29, 32, 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, 71, 17217, 599, 7, 52, 834, 29, 32, 61, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 918, 49, 3274, 96, 346, 7975, 158, 9, 12105, 121, 3430, 4220, 52, 834, 29, 32, 3274, 489, 3951, 1, -100, -100, -100, -10...
What is the tyre of nismo team member satoshi motoyama when he has rounds of all?
SELECT tyre FROM table_name_55 WHERE rounds = "all" AND team = "nismo" AND drivers = "satoshi motoyama"
CREATE TABLE table_name_55 (tyre VARCHAR, drivers VARCHAR, rounds VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 17, 63, 60, 584, 4280, 28027, 6, 3863, 584, 4280, 28027, 6, 14419, 584, 4280, 28027, 6, 372, 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, 3, 17, 63, 60, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 14419, 3274, 96, 1748, 121, 3430, 372, 3274, 96, 14378, 32, 121, 3430, 3863, 3274, 96, 7, 9, 235, 5605, 3, 11188, 22990, 121, 1, -100, -100, -100, ...
What is the tyre of real racing with leon team member koudai tsukakoshi?
SELECT tyre FROM table_name_24 WHERE team = "real racing with leon" AND drivers = "koudai tsukakoshi"
CREATE TABLE table_name_24 (tyre VARCHAR, team VARCHAR, drivers VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 17, 63, 60, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 3863, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 17, 63, 60, 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, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17, 63, 60, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 372, 3274, 96, 6644, 8191, 28, 90, 106, 121, 3430, 3863, 3274, 96, 157, 1063, 26, 9, 23, 3, 17, 7, 1598, 1639, 32, 5605, 121, 1, -100, -100, -1...
Which drives drove a lexus, made all rounds, had a tyre of B and was on the team of petronas toyota team tom's?
SELECT drivers FROM table_name_2 WHERE rounds = "all" AND make = "lexus" AND tyre = "b" AND team = "petronas toyota team tom's"
CREATE TABLE table_name_2 (drivers VARCHAR, team VARCHAR, tyre VARCHAR, rounds VARCHAR, make VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 13739, 52, 7, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 3, 17, 63, 60, 584, 4280, 28027, 6, 14419, 584, 4280, 28027, 6, 143, 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, 3863, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 14419, 3274, 96, 1748, 121, 3430, 143, 3274, 96, 109, 226, 302, 121, 3430, 3, 17, 63, 60, 3274, 96, 115, 121, 3430, 372, 3274, 96, 855, 6255, 9, 7, 12, 63,...
When driver yuji tachikawa had a make of lexus, what team did he represent?
SELECT team FROM table_name_38 WHERE make = "lexus" AND drivers = "yuji tachikawa"
CREATE TABLE table_name_38 (team VARCHAR, make VARCHAR, drivers VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 11650, 584, 4280, 28027, 6, 143, 584, 4280, 28027, 6, 3863, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 2535, 3, 63, 76, 354, 23, 9075, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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...
[ 3, 23143, 14196, 372, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 143, 3274, 96, 109, 226, 302, 121, 3430, 3863, 3274, 96, 63, 76, 354, 23, 9075, 16942, 7396, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the sum of Capacity, when Team is "Denizlispor"?
SELECT SUM(capacity) FROM table_name_58 WHERE team = "denizlispor"
CREATE TABLE table_name_58 (capacity INTEGER, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 4010, 9, 6726, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 13, 4000, 9, 6726, 6, 116, 2271, 19, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 4010, 9, 6726, 61, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 372, 3274, 96, 221, 24362, 40, 23, 11842, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is Team, when Venue is "Şükrü Saracoğlu Stadium"?
SELECT team FROM table_name_4 WHERE venue = "şükrü saracoğlu stadium"
CREATE TABLE table_name_4 (team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 2271, 6, 116, 29940, 19, 96, 2, 1272, 157, 4100, 12969, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 372, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 5669, 3274, 96, 1314, 1272, 157, 4100, 3, 7, 2551, 509, 2, 40, 76, 14939, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who is the gagarin cup winner when avangard omsk is the gagarin cup finalist?
SELECT gagarin_cup_winner FROM table_name_17 WHERE gagarin_cup_finalist = "avangard omsk"
CREATE TABLE table_name_17 (gagarin_cup_winner VARCHAR, gagarin_cup_finalist VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 122, 9, 1478, 77, 834, 4658, 834, 3757, 687, 584, 4280, 28027, 6, 23856, 291, 77, 834, 4658, 834, 12406, 343, 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, 23856, 291, 77, 834, 4658, 834, 3757, 687, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 23856, 291, 77, 834, 4658, 834, 12406, 343, 3274, 96, 9, 2132, 6390, 3, 32, 51, 7, 157, 121, 1, -100, -100, -100, -100,...
What was the resolution of the fight where andre roberts record was 9-1?
SELECT res FROM table_name_60 WHERE record = "9-1"
CREATE TABLE table_name_60 (res VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 60, 7, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 3161, 13, 8, 2870, 213, 11, 60, 3, 5840, 49, 17, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 60, 7, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 1368, 3274, 96, 1298, 2292, 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 2nd leg of goiás team 2?
SELECT 2 AS nd_leg FROM table_name_29 WHERE team__number2 = "goiás"
CREATE TABLE table_name_29 (team__number2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 11650, 834, 834, 5525, 1152, 357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 204, 727, 4553, 13, 281, 23, 2975, 7, 372, 204, 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, 204, 6157, 3, 727, 834, 5772, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 372, 834, 834, 5525, 1152, 357, 3274, 96, 839, 23, 2975, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the 2nd leg of emelec team 2?
SELECT 2 AS nd_leg FROM table_name_66 WHERE team__number2 = "emelec"
CREATE TABLE table_name_66 (team__number2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 11650, 834, 834, 5525, 1152, 357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 204, 727, 4553, 13, 3, 15, 2341, 15, 75, 372, 204, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 204, 6157, 3, 727, 834, 5772, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 372, 834, 834, 5525, 1152, 357, 3274, 96, 15, 2341, 15, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the 2nd leg with ldu quito as team 1?
SELECT 2 AS nd_leg FROM table_name_62 WHERE team__number1 = "ldu quito"
CREATE TABLE table_name_62 (team__number1 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 11650, 834, 834, 5525, 1152, 536, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 204, 727, 4553, 28, 3, 40, 1259, 285, 235, 38, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 204, 6157, 3, 727, 834, 5772, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 372, 834, 834, 5525, 1152, 536, 3274, 96, 40, 1259, 285, 235, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
On what date was the bridge located in McClain listed?
SELECT listed FROM table_name_29 WHERE location = "mcclain"
CREATE TABLE table_name_29 (listed VARCHAR, location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 19279, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 125, 833, 47, 8, 4716, 1069, 16, 7040, 521, 77, 2616, 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, 2616, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 1128, 3274, 96, 51, 75, 4651, 77, 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 source on 6 September?
SELECT source FROM table_name_27 WHERE date = "6 september"
CREATE TABLE table_name_27 (source VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 7928, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1391, 30, 431, 1600, 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, 1391, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 833, 3274, 96, 948, 16022, 18247, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Week has a Result of l 21-19?
SELECT COUNT(week) FROM table_name_4 WHERE result = "l 21-19"
CREATE TABLE table_name_4 (week VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 8041, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6551, 65, 3, 9, 3, 20119, 13, 3, 40, 1401, 4481, 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, 2847, 17161, 599, 8041, 61, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 741, 3274, 96, 40, 1401, 4481, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which Week has a Result of l 41-14?
SELECT MIN(week) FROM table_name_89 WHERE result = "l 41-14"
CREATE TABLE table_name_89 (week INTEGER, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 8041, 3, 21342, 17966, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6551, 65, 3, 9, 3, 20119, 13, 3, 40, 8798, 11590, 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, 17684, 599, 8041, 61, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 741, 3274, 96, 40, 8798, 11590, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Result has a Date of september 3, 2000?
SELECT result FROM table_name_81 WHERE date = "september 3, 2000"
CREATE TABLE table_name_81 (result VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 3, 20119, 65, 3, 9, 7678, 13, 16022, 18247, 6180, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 741, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 833, 3274, 96, 7, 6707, 18247, 6180, 2766, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Date has an Attendance of 54,626?
SELECT date FROM table_name_71 WHERE attendance = "54,626"
CREATE TABLE table_name_71 (date VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 5522, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7678, 65, 46, 22497, 663, 13, 10630, 6, 948, 2688, 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, 833, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 11364, 3274, 96, 5062, 6, 948, 2688, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Result has an Attendance of bye?
SELECT result FROM table_name_99 WHERE attendance = "bye"
CREATE TABLE table_name_99 (result VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 3, 20119, 65, 46, 22497, 663, 13, 57, 15, 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, 3264, 549, 17444, 427, 11364, 3274, 96, 969, 15, 121, 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 smallest preliminary when swimsuit is less than 8.822, interview is more than 8.744 and gown is more than 9.333?
SELECT MIN(preliminary) FROM table_name_50 WHERE swimsuit < 8.822 AND interview > 8.744 AND evening_gown > 9.333
CREATE TABLE table_name_50 (preliminary INTEGER, evening_gown VARCHAR, swimsuit VARCHAR, interview VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 2026, 4941, 77, 1208, 3, 21342, 17966, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 6, 9728, 7628, 584, 4280, 28027, 6, 2772, 584, 4280, 28027, 61, 3, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 2026, 4941, 77, 1208, 61, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 9728, 7628, 3, 2, 4848, 4613, 357, 3430, 2772, 2490, 4848, 4581, 591, 3430, 2272, 834, 122, 9197, 2490, 5835, 23360, 1, -10...
What is the best preliminary for a contestant from New Mexico with interview less than 9.533?
SELECT MAX(preliminary) FROM table_name_35 WHERE state = "new mexico" AND interview < 9.533
CREATE TABLE table_name_35 (preliminary INTEGER, state VARCHAR, interview VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 2026, 4941, 77, 1208, 3, 21342, 17966, 6, 538, 584, 4280, 28027, 6, 2772, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 200, 17413, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 2026, 4941, 77, 1208, 61, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 538, 3274, 96, 5534, 140, 226, 5807, 121, 3430, 2772, 3, 2, 3, 22321, 4201, 1, -100, -100, -100, -100, -100, -100, -100, -...
What state has a swimsuit less than 9.277, gown more than 8.944 and preliminary greater than 8.483?
SELECT state FROM table_name_19 WHERE swimsuit < 9.277 AND evening_gown > 8.944 AND preliminary < 8.483
CREATE TABLE table_name_19 (state VARCHAR, preliminary VARCHAR, swimsuit VARCHAR, evening_gown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 5540, 584, 4280, 28027, 6, 17413, 584, 4280, 28027, 6, 9728, 7628, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 61, 3, 32105, 32106, 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, 538, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 9728, 7628, 3, 2, 5835, 357, 4013, 3430, 2272, 834, 122, 9197, 2490, 4848, 4240, 591, 3430, 17413, 3, 2, 4848, 3707, 519, 1, -100, -100, -100, -100, -100, -100...
What is the average when interview is 9.465 and evening gown is less than 9.454?
SELECT SUM(average) FROM table_name_28 WHERE interview = 9.465 AND evening_gown < 9.454
CREATE TABLE table_name_28 (average INTEGER, interview VARCHAR, evening_gown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 28951, 3, 21342, 17966, 6, 2772, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 116, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 28951, 61, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 2772, 3274, 5835, 591, 4122, 3430, 2272, 834, 122, 9197, 3, 2, 5835, 2128, 591, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the best preliminary score from a contestant from Oklahoma with evening gown less than 8.853?
SELECT MAX(preliminary) FROM table_name_63 WHERE state = "oklahoma" AND evening_gown < 8.853
CREATE TABLE table_name_63 (preliminary INTEGER, state VARCHAR, evening_gown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 2026, 4941, 77, 1208, 3, 21342, 17966, 6, 538, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 4800, 4, 599, 2026, 4941, 77, 1208, 61, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 538, 3274, 96, 32, 8142, 10207, 9, 121, 3430, 2272, 834, 122, 9197, 3, 2, 4848, 4433, 519, 1, -100, -100, -100, -100, -100...
What is Written By, when Originalairdate is 25 April 1993?
SELECT written_by FROM table_name_31 WHERE originalairdate = "25 april 1993"
CREATE TABLE table_name_31 (written_by VARCHAR, originalairdate VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 14973, 834, 969, 584, 4280, 28027, 6, 926, 2256, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 22812, 938, 6, 116, 8465, 2256, 5522...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1545, 834, 969, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 926, 2256, 5522, 3274, 96, 1828, 3, 9, 2246, 40, 8388, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is Directed By, when Episode # is 7?
SELECT directed_by FROM table_name_18 WHERE episode__number = 7
CREATE TABLE table_name_18 (directed_by VARCHAR, episode__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 22955, 834, 969, 584, 4280, 28027, 6, 5640, 834, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 7143, 15, 26, 938, 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, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6640, 834, 969, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 5640, 834, 834, 5525, 1152, 3274, 489, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
WHAT IS THE LOWEST AVERAGE FINISH FOR 40TH POSITION, WITH A TOP 5 LARGER THAN 0?
SELECT MIN(avg_finish) FROM table_name_70 WHERE position = "40th" AND top_5 > 0
CREATE TABLE table_name_70 (avg_finish INTEGER, position VARCHAR, top_5 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 9, 208, 122, 834, 25535, 3, 21342, 17966, 6, 1102, 584, 4280, 28027, 6, 420, 834, 755, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 21665, 6827, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9, 208, 122, 834, 25535, 61, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 1102, 3274, 96, 2445, 189, 121, 3430, 420, 834, 755, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What country has 50 supermarkets?
SELECT country FROM table_name_19 WHERE supermarkets = "50"
CREATE TABLE table_name_19 (country VARCHAR, supermarkets VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 17529, 584, 4280, 28027, 6, 14427, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 684, 65, 943, 14427, 7, 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, 684, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 14427, 7, 3274, 96, 1752, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What country has 370 supermarkets?
SELECT country FROM table_name_47 WHERE supermarkets = "370"
CREATE TABLE table_name_47 (country VARCHAR, supermarkets VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 17529, 584, 4280, 28027, 6, 14427, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 684, 65, 3, 22520, 14427, 7, 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, 684, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 14427, 7, 3274, 96, 22520, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What country has a fire store of 1991 and a hard discounter of 397?
SELECT country FROM table_name_2 WHERE first_store = "1991" AND hard_discounters = "397"
CREATE TABLE table_name_2 (country VARCHAR, first_store VARCHAR, hard_discounters VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 17529, 584, 4280, 28027, 6, 166, 834, 7154, 584, 4280, 28027, 6, 614, 834, 26, 159, 22349, 7, 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, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 166, 834, 7154, 3274, 96, 2294, 4729, 121, 3430, 614, 834, 26, 159, 22349, 7, 3274, 96, 519, 4327, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which engine is in all rounds with Tsugio Matsuda driving?
SELECT engine FROM table_name_9 WHERE rounds = "all" AND driver = "tsugio matsuda"
CREATE TABLE table_name_9 (engine VARCHAR, rounds VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 20165, 584, 4280, 28027, 6, 14419, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1948, 19, 16, 66, 14419, 28, 332...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1948, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 14419, 3274, 96, 1748, 121, 3430, 2535, 3274, 96, 17, 7, 76, 10253, 3, 51, 23766, 26, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which engine is used by Team Lemans with Hiroaki Ishiura driving?
SELECT engine FROM table_name_65 WHERE team = "team lemans" AND driver = "hiroaki ishiura"
CREATE TABLE table_name_65 (engine VARCHAR, team VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 20165, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1948, 19, 261, 57, 2271, 312, 348,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1948, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 372, 3274, 96, 11650, 90, 348, 7, 121, 3430, 2535, 3274, 96, 9288, 32, 11259, 3, 1273, 23, 2414, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the least rank with more than 3 losses and less than 25 sets lost?
SELECT MIN(rank) FROM table_name_34 WHERE loss > 3 AND sets_lost < 25
CREATE TABLE table_name_34 (rank INTEGER, loss VARCHAR, sets_lost VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 6254, 3, 21342, 17966, 6, 1453, 584, 4280, 28027, 6, 3369, 834, 2298, 17, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 709, 11003, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 6254, 61, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 1453, 2490, 220, 3430, 3369, 834, 2298, 17, 3, 2, 944, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the least rank with more than 16 sets won and less than 1 loss?
SELECT MIN(rank) FROM table_name_47 WHERE sets_won > 16 AND loss < 1
CREATE TABLE table_name_47 (rank INTEGER, sets_won VARCHAR, loss VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 6254, 3, 21342, 17966, 6, 3369, 834, 210, 106, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 709, 11003, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 6254, 61, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 3369, 834, 210, 106, 2490, 898, 3430, 1453, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who was the home team when the away team was Telford United?
SELECT home_team FROM table_name_74 WHERE away_team = "telford united"
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, 2645, 47, 8, 234, 372, 116, 8, 550, 372, 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, 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, 1625, 2590, 18279, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score when the away team was West Ham United?
SELECT score FROM table_name_4 WHERE away_team = "west ham united"
CREATE TABLE table_name_4 (score VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 7, 9022, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 116, 8, 550, 372, 47, 1244, 5845, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2604, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 550, 834, 11650, 3274, 96, 12425, 3, 1483, 18279, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the Tie Number when the home team was West Ham United?
SELECT tie_no FROM table_name_56 WHERE home_team = "west ham united"
CREATE TABLE table_name_56 (tie_no VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 17, 23, 15, 834, 29, 32, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2262, 15, 7720, 116, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6177, 834, 29, 32, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 234, 834, 11650, 3274, 96, 12425, 3, 1483, 18279, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the Model Number which has a FSB Speed of 400 mhz?
SELECT model_number FROM table_name_59 WHERE fsb_speed = "400 mhz"
CREATE TABLE table_name_59 (model_number VARCHAR, fsb_speed VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 21770, 834, 5525, 1152, 584, 4280, 28027, 6, 3, 89, 7, 115, 834, 9993, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 5154, 7720, 84, 65...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 825, 834, 5525, 1152, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 3, 89, 7, 115, 834, 9993, 3274, 96, 5548, 3, 51, 107, 172, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the Voltage Range which has a FSB Speed of 400 mhz, and a Clock Speed of 1 ghz?
SELECT voltage_range FROM table_name_30 WHERE fsb_speed = "400 mhz" AND clock_speed = "1 ghz"
CREATE TABLE table_name_30 (voltage_range VARCHAR, fsb_speed VARCHAR, clock_speed VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 10897, 545, 834, 5517, 584, 4280, 28027, 6, 3, 89, 7, 115, 834, 9993, 584, 4280, 28027, 6, 6702, 834, 9993, 584, 4280, 28027, 61, 3, 32105, 32106, 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, 10594, 834, 5517, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 3, 89, 7, 115, 834, 9993, 3274, 96, 5548, 3, 51, 107, 172, 121, 3430, 6702, 834, 9993, 3274, 96, 536, 3, 122, 107, 172, 121, 1, -100, -100, -1...
Name the L2 Cache which has a Clock Speed of 1.5 ghz?
SELECT l2_cache FROM table_name_10 WHERE clock_speed = "1.5 ghz"
CREATE TABLE table_name_10 (l2_cache VARCHAR, clock_speed VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 40, 357, 834, 75, 4933, 584, 4280, 28027, 6, 6702, 834, 9993, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 301, 357, 205, 4933, 84, 65...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 40, 357, 834, 75, 4933, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 6702, 834, 9993, 3274, 96, 16593, 3, 122, 107, 172, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the earliest game against Orlando?
SELECT MIN(game) FROM table_name_57 WHERE team = "orlando"
CREATE TABLE table_name_57 (game INTEGER, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 7261, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 16454, 467, 581, 14374, 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, 3, 17684, 599, 7261, 61, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 372, 3274, 96, 32, 7721, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Week has an Attendance of 72,855?
SELECT MAX(week) FROM table_name_47 WHERE attendance = "72,855"
CREATE TABLE table_name_47 (week INTEGER, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 8041, 3, 21342, 17966, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6551, 65, 46, 22497, 663, 13, 9455, 6, 4433, 755, 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, 4800, 4, 599, 8041, 61, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 11364, 3274, 96, 5865, 6, 4433, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which Week has a Date of december 8, 1991?
SELECT AVG(week) FROM table_name_67 WHERE date = "december 8, 1991"
CREATE TABLE table_name_67 (week INTEGER, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 8041, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6551, 65, 3, 9, 7678, 13, 20, 75, 18247, 9478, 9957, 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, 71, 17217, 599, 8041, 61, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 833, 3274, 96, 221, 75, 18247, 9478, 9957, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Opponent has a Date of november 24, 1991?
SELECT opponent FROM table_name_52 WHERE date = "november 24, 1991"
CREATE TABLE table_name_52 (opponent VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 32, 102, 9977, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4495, 9977, 65, 3, 9, 7678, 13, 3, 5326, 18247, 143...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15264, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 833, 3274, 96, 5326, 18247, 14320, 9957, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which location has a rank of 147?
SELECT location FROM table_name_95 WHERE rank = 147
CREATE TABLE table_name_95 (location VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 14836, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1128, 65, 3, 9, 11003, 13, 3, 24719, 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, 1128, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 11003, 3274, 3, 24719, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which mountain range contains Sierra Blanca Peak?
SELECT mountain_range FROM table_name_68 WHERE mountain_peak = "sierra blanca peak"
CREATE TABLE table_name_68 (mountain_range VARCHAR, mountain_peak VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 11231, 9, 77, 834, 5517, 584, 4280, 28027, 6, 4180, 834, 14661, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4180, 620, 2579, 17171, 12824, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4180, 834, 5517, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 4180, 834, 14661, 3274, 96, 7, 23, 16841, 8753, 9, 6734, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which location is in Oregon, ranked under 121, and contains Mount McLoughlin?
SELECT location FROM table_name_71 WHERE state = "oregon" AND rank < 121 AND mountain_peak = "mount mcloughlin"
CREATE TABLE table_name_71 (location VARCHAR, mountain_peak VARCHAR, state VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 14836, 584, 4280, 28027, 6, 4180, 834, 14661, 584, 4280, 28027, 6, 538, 584, 4280, 28027, 6, 11003, 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, 0...
[ 3, 23143, 14196, 1128, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 538, 3274, 96, 127, 15, 5307, 121, 3430, 11003, 3, 2, 3, 22011, 3430, 4180, 834, 14661, 3274, 96, 11231, 3, 51, 3903, 14439, 40, 77, 121, 1, -100, -100, -10...
What is the film, television series, or miniseries with a nomination in 2001?
SELECT film_or_television_series_or_miniseries FROM table_name_16 WHERE year = 2001
CREATE TABLE table_name_16 (film_or_television_series_or_miniseries VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 9988, 834, 127, 834, 1931, 6610, 834, 10833, 7, 834, 127, 834, 7619, 10833, 7, 584, 4280, 28027, 6, 215, 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, 0...
[ 3, 23143, 14196, 814, 834, 127, 834, 1931, 6610, 834, 10833, 7, 834, 127, 834, 7619, 10833, 7, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 215, 3274, 4402, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In what year was Martin Sheen nominated?
SELECT year FROM table_name_3 WHERE nominee = "martin sheen"
CREATE TABLE table_name_3 (year VARCHAR, nominee VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 1201, 584, 4280, 28027, 6, 21077, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 125, 215, 47, 3394, 451, 35, 150, 1109, 920, 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, 215, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 21077, 3274, 96, 1635, 17, 77, 255, 35, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the president in 1999?
SELECT president FROM table_name_57 WHERE year = 1999
CREATE TABLE table_name_57 (president VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 102, 15704, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 2753, 16, 5247, 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, 2753, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 215, 3274, 5247, 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...
Which Date has a Status of second test?
SELECT date FROM table_name_54 WHERE status = "second test"
CREATE TABLE table_name_54 (date VARCHAR, status VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 5522, 584, 4280, 28027, 6, 2637, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7678, 65, 3, 9, 19318, 13, 511, 794, 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, 5062, 549, 17444, 427, 2637, 3274, 96, 12091, 794, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Venue has an Against of 25?
SELECT venue FROM table_name_26 WHERE against = 25
CREATE TABLE table_name_26 (venue VARCHAR, against VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 15098, 584, 4280, 28027, 6, 581, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 29940, 65, 46, 3, 20749, 13, 944, 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, 5669, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 581, 3274, 944, 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,...
Which Status has a Date of 19/05/1981?
SELECT status FROM table_name_34 WHERE date = "19/05/1981"
CREATE TABLE table_name_34 (status VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 8547, 302, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 19318, 65, 3, 9, 7678, 13, 957, 31911, 2294, 4959, 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, 2637, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 833, 3274, 96, 2294, 31911, 2294, 4959, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Against has a Date of 30/05/1981?
SELECT COUNT(against) FROM table_name_63 WHERE date = "30/05/1981"
CREATE TABLE table_name_63 (against VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 9, 16720, 7, 17, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 3, 20749, 65, 3, 9, 7678, 13, 604, 31911, 2294, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 9, 16720, 7, 17, 61, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 833, 3274, 96, 1458, 31911, 2294, 4959, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Date has an Against smaller than 21, and a Status of second test?
SELECT date FROM table_name_37 WHERE against < 21 AND status = "second test"
CREATE TABLE table_name_37 (date VARCHAR, against VARCHAR, status VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 5522, 584, 4280, 28027, 6, 581, 584, 4280, 28027, 6, 2637, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7678, 65, 46, 3, 20749, 2755, 145, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4118, 549, 17444, 427, 581, 3, 2, 1401, 3430, 2637, 3274, 96, 12091, 794, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Rochester, when Syracuse is Cardiff Dark Gray Shale, and when Albany is (Mt. Marion Fm.)?
SELECT rochester FROM table_name_39 WHERE syracuse = "cardiff dark gray shale" AND albany = "(mt. marion fm.)"
CREATE TABLE table_name_39 (rochester VARCHAR, syracuse VARCHAR, albany VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 52, 32, 13263, 584, 4280, 28027, 6, 3, 7, 63, 3738, 1074, 584, 4280, 28027, 6, 7046, 6820, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 52, 32, 13263, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 3, 7, 63, 3738, 1074, 3274, 96, 6043, 5982, 2164, 9954, 3, 7, 3828, 15, 121, 3430, 7046, 6820, 3274, 96, 599, 51, 17, 5, 2774, 106, 3, 89, 5...
What is Albany, when Buffalo is Oatka Creek Shale, and when Syracuse is Cardiff Dark Gray Shale?
SELECT albany FROM table_name_18 WHERE buffalo = "oatka creek shale" AND syracuse = "cardiff dark gray shale"
CREATE TABLE table_name_18 (albany VARCHAR, buffalo VARCHAR, syracuse VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 138, 3478, 63, 584, 4280, 28027, 6, 30964, 584, 4280, 28027, 6, 3, 7, 63, 3738, 1074, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 271...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7046, 6820, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 30964, 3274, 96, 32, 144, 1258, 25153, 3, 7, 3828, 15, 121, 3430, 3, 7, 63, 3738, 1074, 3274, 96, 6043, 5982, 2164, 9954, 3, 7, 3828, 15, 121, 1, -1...
What is Syracuse, when Utica is Union Springs Shale And Limestone, and when Rochester is Union Springs Shale And Limestone?
SELECT syracuse FROM table_name_20 WHERE utica = "union springs shale and limestone" AND rochester = "union springs shale and limestone"
CREATE TABLE table_name_20 (syracuse VARCHAR, utica VARCHAR, rochester VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 7, 63, 3738, 1074, 584, 4280, 28027, 6, 3, 76, 7439, 584, 4280, 28027, 6, 3, 52, 32, 13263, 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, 3, 7, 63, 3738, 1074, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 3, 76, 7439, 3274, 96, 16598, 2141, 7, 3, 7, 3828, 15, 11, 23725, 121, 3430, 3, 52, 32, 13263, 3274, 96, 16598, 2141, 7, 3, 7, 3828, 15,...
What is Syracuse, when Utica is Solsville Shale And Sandstone?
SELECT syracuse FROM table_name_51 WHERE utica = "solsville shale and sandstone"
CREATE TABLE table_name_51 (syracuse VARCHAR, utica VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 7, 63, 3738, 1074, 584, 4280, 28027, 6, 3, 76, 7439, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 30482, 6, 116, 412, 7439, 19, 5175, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 7, 63, 3738, 1074, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 3, 76, 7439, 3274, 96, 4099, 9727, 3, 7, 3828, 15, 11, 3, 7, 232, 3009, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is Syracuse, when Buffalo is Oatka Creek Shale, and when Albany is Berne?
SELECT syracuse FROM table_name_90 WHERE buffalo = "oatka creek shale" AND albany = "berne"
CREATE TABLE table_name_90 (syracuse VARCHAR, buffalo VARCHAR, albany VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 7, 63, 3738, 1074, 584, 4280, 28027, 6, 30964, 584, 4280, 28027, 6, 7046, 6820, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 30482, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 7, 63, 3738, 1074, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 30964, 3274, 96, 32, 144, 1258, 25153, 3, 7, 3828, 15, 121, 3430, 7046, 6820, 3274, 96, 115, 11965, 121, 1, -100, -100, -100, -100, -100, -1...
What is the Name of the Players with a Rank of 18?
SELECT name FROM table_name_67 WHERE rank = 18
CREATE TABLE table_name_67 (name VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 4350, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 5570, 13, 8, 18079, 28, 3, 9, 3, 22557, 13, 507, 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, 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, 3708, 549, 17444, 427, 11003, 3274, 507, 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...
How many Points for the couple ranking 17 with Placings larger than 100?
SELECT points FROM table_name_97 WHERE placings > 100 AND rank = 17
CREATE TABLE table_name_97 (points VARCHAR, placings VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 2700, 7, 584, 4280, 28027, 6, 9308, 7, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 4564, 7, 21, 8, 1158,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 979, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 9308, 7, 2490, 910, 3430, 11003, 3274, 1003, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Rank of the couple with less than 408.8 Points and Placings of 160?
SELECT rank FROM table_name_77 WHERE points < 408.8 AND placings = 160
CREATE TABLE table_name_77 (rank VARCHAR, points VARCHAR, placings VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 6254, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 9308, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 22557, 13, 8, 1158, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 11003, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 979, 3, 2, 314, 15000, 927, 3430, 9308, 7, 3274, 11321, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the Place of the couple with a Rank smaller than 7 and 514.55 Points?
SELECT SUM(placings) FROM table_name_22 WHERE rank < 7 AND points = 514.55
CREATE TABLE table_name_22 (placings INTEGER, rank VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 6042, 75, 53, 7, 3, 21342, 17966, 6, 11003, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3399, 13, 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, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 6042, 75, 53, 7, 61, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 11003, 3, 2, 489, 3430, 979, 3274, 305, 2534, 5, 3769, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the total Lane with a Mark of 47.02, and a Heat higher than 5?
SELECT SUM(lane) FROM table_name_64 WHERE mark = "47.02" AND heat > 5
CREATE TABLE table_name_64 (lane INTEGER, mark VARCHAR, heat VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 8102, 3, 21342, 17966, 6, 3946, 584, 4280, 28027, 6, 1678, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, 11834, 28, 3, 9, 2185,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 8102, 61, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 3946, 3274, 96, 4177, 5, 4305, 121, 3430, 1678, 2490, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
With a Mark of 46.47, What is the lowest Heat?
SELECT MIN(heat) FROM table_name_57 WHERE mark = "46.47"
CREATE TABLE table_name_57 (heat INTEGER, mark VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 88, 144, 3, 21342, 17966, 6, 3946, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 438, 3, 9, 2185, 13, 9668, 5, 4177, 6, 363, 19, 8, 7402, 7862...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 88, 144, 61, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 3946, 3274, 96, 4448, 5, 4177, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the Country that has Richard Buck Lane higher than 3?
SELECT country FROM table_name_99 WHERE lane > 3 AND name = "richard buck"
CREATE TABLE table_name_99 (country VARCHAR, lane VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 17529, 584, 4280, 28027, 6, 3, 8102, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 6993, 24, 65, 4117, 102...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 684, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 3, 8102, 2490, 220, 3430, 564, 3274, 96, 3723, 986, 3, 13863, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When did Louise, Princess royal get married?
SELECT date_married FROM table_name_87 WHERE name_dates = "louise, princess royal"
CREATE TABLE table_name_87 (date_married VARCHAR, name_dates VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4225, 41, 5522, 834, 1635, 9889, 584, 4280, 28027, 6, 564, 834, 5522, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 410, 5181, 15, 6, 15615, 11268, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 834, 1635, 9889, 21680, 953, 834, 4350, 834, 4225, 549, 17444, 427, 564, 834, 5522, 7, 3274, 96, 40, 1063, 159, 15, 6, 19121, 11268, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What are the Djurgården scorers that have a Score of 2-1?
SELECT djurgården_scorers FROM table_name_87 WHERE score = "2-1"
CREATE TABLE table_name_87 (djurgården_scorers VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4225, 41, 26, 10609, 122, 2, 52, 537, 834, 7, 5715, 277, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 309, 10609, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 26, 10609, 122, 2, 52, 537, 834, 7, 5715, 277, 21680, 953, 834, 4350, 834, 4225, 549, 17444, 427, 2604, 3274, 96, 17234, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What are the Opponents that have Djurgården scorers of sjölund (2)?
SELECT opponents FROM table_name_43 WHERE djurgården_scorers = "sjölund (2)"
CREATE TABLE table_name_43 (opponents VARCHAR, djurgården_scorers VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 32, 102, 9977, 7, 584, 4280, 28027, 6, 3, 26, 10609, 122, 2, 52, 537, 834, 7, 5715, 277, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 16383, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 3, 26, 10609, 122, 2, 52, 537, 834, 7, 5715, 277, 3274, 96, 7, 354, 7898, 1106, 6499, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the Score that has a Date of 2005-10-29?
SELECT score FROM table_name_6 WHERE date = "2005-10-29"
CREATE TABLE table_name_6 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 17763, 24, 65, 3, 9, 7678, 13, 3105, 4536, 18, 316...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2604, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 833, 3274, 96, 22594, 4536, 18, 3166, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the Score that has an Attendance of 4 679?
SELECT score FROM table_name_52 WHERE attendance = "4 679"
CREATE TABLE table_name_52 (score VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 7, 9022, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 17763, 24, 65, 46, 22497, 663, 13, 314, 431, 4440...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2604, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 11364, 3274, 96, 591, 431, 4440, 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 Date that has a Round of semifinal?
SELECT date FROM table_name_46 WHERE round = "semifinal"
CREATE TABLE table_name_46 (date VARCHAR, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 5522, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7678, 24, 65, 3, 9, 9609, 13, 27504, 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, 833, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 1751, 3274, 96, 7, 15, 51, 23, 12406, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Round is the highest one that has a College of arizona, and an Overall larger than 120?
SELECT MAX(round) FROM table_name_25 WHERE college = "arizona" AND overall > 120
CREATE TABLE table_name_25 (round INTEGER, college VARCHAR, overall VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 7775, 3, 21342, 17966, 6, 1900, 584, 4280, 28027, 6, 1879, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 9609, 19, 8, 2030, 80, 24, 65, 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, 4800, 4, 599, 7775, 61, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 1900, 3274, 96, 1665, 8892, 9, 121, 3430, 1879, 2490, 5864, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Pick has a Name of ed hickerson, and a Round smaller than 10?
SELECT SUM(pick) FROM table_name_56 WHERE name = "ed hickerson" AND round < 10
CREATE TABLE table_name_56 (pick INTEGER, name VARCHAR, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 17967, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 8356, 65, 3, 9, 5570, 13, 3, 15, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 17967, 61, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 564, 3274, 96, 15, 26, 7102, 3383, 739, 121, 3430, 1751, 3, 2, 335, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How much Overall has a Pick of 10, and a Round smaller than 8, and a Position of e, and a College of tennessee?
SELECT COUNT(overall) FROM table_name_4 WHERE pick = 10 AND round < 8 AND position = "e" AND college = "tennessee"
CREATE TABLE table_name_4 (overall VARCHAR, college VARCHAR, position VARCHAR, pick VARCHAR, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 1890, 1748, 584, 4280, 28027, 6, 1900, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 6, 1751, 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, 2847, 17161, 599, 1890, 1748, 61, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 1432, 3274, 335, 3430, 1751, 3, 2, 505, 3430, 1102, 3274, 96, 15, 121, 3430, 1900, 3274, 96, 324, 655, 15, 15, 121, 1, -100, -100...
What date was the away team Morecambe?
SELECT date FROM table_name_78 WHERE away_team = "morecambe"
CREATE TABLE table_name_78 (date VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 5522, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 833, 47, 8, 550, 372, 1537, 6527, 346, 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, 833, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 550, 834, 11650, 3274, 96, 3706, 6527, 346, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What team was the away team when the home team was Grimsby Town?
SELECT away_team FROM table_name_24 WHERE home_team = "grimsby town"
CREATE TABLE table_name_24 (away_team VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 372, 47, 8, 550, 372, 116, 8, 234, 37...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 550, 834, 11650, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 234, 834, 11650, 3274, 96, 3496, 51, 7, 969, 1511, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What team was the away team when the home team was Hereford United?
SELECT away_team FROM table_name_32 WHERE home_team = "hereford united"
CREATE TABLE table_name_32 (away_team VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 372, 47, 8, 550, 372, 116, 8, 234, 37...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 550, 834, 11650, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 234, 834, 11650, 3274, 96, 88, 60, 2590, 18279, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What team was the away team when the tie no is 40?
SELECT away_team FROM table_name_67 WHERE tie_no = "40"
CREATE TABLE table_name_67 (away_team VARCHAR, tie_no VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 6177, 834, 29, 32, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 372, 47, 8, 550, 372, 116, 8, 6177,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 550, 834, 11650, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 6177, 834, 29, 32, 3274, 96, 2445, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the 1st leg score for the team with an Agg score of 151-134?
SELECT 1 AS st_leg FROM table_name_36 WHERE agg = "151-134"
CREATE TABLE table_name_36 (agg VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 9, 4102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 209, 7, 17, 4553, 2604, 21, 8, 372, 28, 46, 71, 4102, 2604, 13, 3, 26578, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 209, 6157, 3, 7, 17, 834, 5772, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 3, 9, 4102, 3274, 96, 26578, 13056, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...