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
Who was the opponent on November 11, 2001?
SELECT opponent FROM table_name_4 WHERE date = "november 11, 2001"
CREATE TABLE table_name_4 (opponent VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 32, 102, 9977, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 15264, 30, 1671, 9694, 4402, 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, 15264, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 833, 3274, 96, 5326, 18247, 9694, 4402, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the opponent before week 5 that played on September 23, 2001?
SELECT opponent FROM table_name_99 WHERE week < 5 AND date = "september 23, 2001"
CREATE TABLE table_name_99 (opponent VARCHAR, week VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 32, 102, 9977, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 15264, 274, 471, 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, 15264, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 471, 3, 2, 305, 3430, 833, 3274, 96, 7, 6707, 18247, 12992, 4402, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the frequency of the Turion 64 X2 TL-62?
SELECT frequency FROM table_name_8 WHERE model_number = "turion 64 x2 tl-62"
CREATE TABLE table_name_8 (frequency VARCHAR, model_number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 30989, 584, 4280, 28027, 6, 825, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7321, 13, 8, 2740, 16310, 6687, 3, 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, 7321, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 825, 834, 5525, 1152, 3274, 96, 4317, 106, 6687, 3, 226, 357, 3, 17, 40, 18, 4056, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the socket for Order Part Number TMDTL68HAX5DM?
SELECT socket FROM table_name_67 WHERE order_part_number = "tmdtl68hax5dm"
CREATE TABLE table_name_67 (socket VARCHAR, order_part_number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 7, 3961, 15, 17, 584, 4280, 28027, 6, 455, 834, 2274, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 16197, 21, 5197...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 16197, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 455, 834, 2274, 834, 5525, 1152, 3274, 96, 17, 51, 26, 17, 40, 3651, 1024, 226, 755, 26, 51, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the multiplier 1 for chips with a frequency of 1800MHz?
SELECT multiplier_1 FROM table_name_25 WHERE frequency = "1800mhz"
CREATE TABLE table_name_25 (multiplier_1 VARCHAR, frequency VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 23829, 5900, 49, 834, 536, 584, 4280, 28027, 6, 7321, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 15574, 49, 209, 21, 8852, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15574, 49, 834, 536, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 7321, 3274, 96, 2606, 1206, 51, 107, 172, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the socket type for the processor with a multiplier 1 of 11.5x?
SELECT socket FROM table_name_66 WHERE multiplier_1 = "11.5x"
CREATE TABLE table_name_66 (socket VARCHAR, multiplier_1 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 7, 3961, 15, 17, 584, 4280, 28027, 6, 15574, 49, 834, 536, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 16197, 686, 21, 8, 7502, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 16197, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 15574, 49, 834, 536, 3274, 96, 10032, 755, 226, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the highest sample size administered on October 18?
SELECT MAX(sample_size) FROM table_name_35 WHERE date_s__administered = "october 18"
CREATE TABLE table_name_35 (sample_size INTEGER, date_s__administered VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 7, 9, 9208, 834, 7991, 3, 21342, 17966, 6, 833, 834, 7, 834, 834, 9, 26, 17791, 15, 26, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 7, 9, 9208, 834, 7991, 61, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 833, 834, 7, 834, 834, 9, 26, 17791, 15, 26, 3274, 96, 32, 75, 235, 1152, 507, 121, 1, -100, -100, -100, -100, -100, ...
What is the percentage for Mel Martinez when the sample size is 800?
SELECT mel_martinez__r_ FROM table_name_6 WHERE sample_size = 800
CREATE TABLE table_name_6 (mel_martinez__r_ VARCHAR, sample_size VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 2341, 834, 1635, 4070, 172, 834, 834, 52, 834, 584, 4280, 28027, 6, 3106, 834, 7991, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 52...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 2341, 834, 1635, 4070, 172, 834, 834, 52, 834, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 3106, 834, 7991, 3274, 8640, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many games were played by the Scottish Wanderers where less than 5 Points were scored?
SELECT SUM(played) FROM table_name_21 WHERE team = "scottish wanderers" AND points < 5
CREATE TABLE table_name_21 (played INTEGER, team VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 4895, 15, 26, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1031, 130, 1944, 57, 8,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 4895, 15, 26, 61, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 372, 3274, 96, 7, 10405, 1273, 10735, 277, 121, 3430, 979, 3, 2, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many games were played where exactly 15 points were scored?
SELECT SUM(played) FROM table_name_34 WHERE points = 15
CREATE TABLE table_name_34 (played INTEGER, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 4895, 15, 26, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1031, 130, 1944, 213, 1776, 627, 979, 130, 5799, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 4895, 15, 26, 61, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 979, 3274, 627, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What LINER class has a W.A. of 0-6-0st with a 2 No. Built?
SELECT lner_class FROM table_name_44 WHERE wa = "0-6-0st" AND no_built = 2
CREATE TABLE table_name_44 (lner_class VARCHAR, wa VARCHAR, no_built VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 40, 687, 834, 4057, 584, 4280, 28027, 6, 8036, 584, 4280, 28027, 6, 150, 834, 16152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 3, 20006, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 40, 687, 834, 4057, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 8036, 3274, 96, 9498, 28625, 7, 17, 121, 3430, 150, 834, 16152, 3274, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the pick number for Peter Moore of the Montreal Alouettes?
SELECT pick__number FROM table_name_74 WHERE cfl_team = "montreal alouettes" AND player = "peter moore"
CREATE TABLE table_name_74 (pick__number VARCHAR, cfl_team VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 17967, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 3, 75, 89, 40, 834, 11650, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 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, 1432, 834, 834, 5525, 1152, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 3, 75, 89, 40, 834, 11650, 3274, 96, 4662, 6644, 491, 24043, 7, 121, 3430, 1959, 3274, 96, 4995, 49, 3, 21477, 15, 121, 1, -100, -100,...
What CFL team did Kelly Bates play for?
SELECT cfl_team FROM table_name_32 WHERE player = "kelly bates"
CREATE TABLE table_name_32 (cfl_team VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 75, 89, 40, 834, 11650, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 205, 10765, 372, 410, 10605, 272, 6203, 577,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 75, 89, 40, 834, 11650, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 1959, 3274, 96, 5768, 120, 3795, 15, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many average total matches have a swansea win less than 3, fa cup as the competition, with a draw less than 0?
SELECT AVG(total_matches) FROM table_name_23 WHERE swansea_win < 3 AND competition = "fa cup" AND draw < 0
CREATE TABLE table_name_23 (total_matches INTEGER, draw VARCHAR, swansea_win VARCHAR, competition VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 235, 1947, 834, 19515, 15, 7, 3, 21342, 17966, 6, 3314, 584, 4280, 28027, 6, 3, 7, 3877, 7, 15, 9, 834, 3757, 584, 4280, 28027, 6, 2259, 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, 71, 17217, 599, 235, 1947, 834, 19515, 15, 7, 61, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 3, 7, 3877, 7, 15, 9, 834, 3757, 3, 2, 220, 3430, 2259, 3274, 96, 89, 9, 4119, 121, 3430, 3314, 3, 2, 3, 6...
How many cardiff wins have a draw greater than 27?
SELECT COUNT(cardiff_win) FROM table_name_26 WHERE draw > 27
CREATE TABLE table_name_26 (cardiff_win VARCHAR, draw INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 6043, 5982, 834, 3757, 584, 4280, 28027, 6, 3314, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 895, 5982, 9204, 43, 3, 9, 3314, 2123, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6043, 5982, 834, 3757, 61, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 3314, 2490, 2307, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many average total matches have league cup as the competition, with a draw greater than 0?
SELECT AVG(total_matches) FROM table_name_34 WHERE competition = "league cup" AND draw > 0
CREATE TABLE table_name_34 (total_matches INTEGER, competition VARCHAR, draw VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 235, 1947, 834, 19515, 15, 7, 3, 21342, 17966, 6, 2259, 584, 4280, 28027, 6, 3314, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 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, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 235, 1947, 834, 19515, 15, 7, 61, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 2259, 3274, 96, 29512, 4119, 121, 3430, 3314, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the number of tries for when the try bonus is 0?
SELECT tries_for FROM table_name_16 WHERE try_bonus = "0"
CREATE TABLE table_name_16 (tries_for VARCHAR, try_bonus VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 9000, 834, 1161, 584, 4280, 28027, 6, 653, 834, 5407, 302, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 381, 13, 3, 9000, 21, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 9000, 834, 1161, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 653, 834, 5407, 302, 3274, 96, 632, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many points is there when the lost is 6 and the try bonus is 9?
SELECT points_for FROM table_name_24 WHERE lost = "6" AND try_bonus = "9"
CREATE TABLE table_name_24 (points_for VARCHAR, lost VARCHAR, try_bonus VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 2700, 7, 834, 1161, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 6, 653, 834, 5407, 302, 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, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 979, 834, 1161, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 1513, 3274, 96, 948, 121, 3430, 653, 834, 5407, 302, 3274, 96, 1298, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many pints does the Cambrian Welfare RFC have?
SELECT points_for FROM table_name_50 WHERE club = "cambrian welfare rfc"
CREATE TABLE table_name_50 (points_for VARCHAR, club VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 2700, 7, 834, 1161, 584, 4280, 28027, 6, 1886, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 4522, 17, 7, 405, 8, 5184, 2160, 152, 301...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 979, 834, 1161, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 1886, 3274, 96, 6527, 2160, 152, 13454, 3, 52, 89, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
When the try bonus is 9 and the lost 4, what is the drawn?
SELECT drawn FROM table_name_50 WHERE try_bonus = "9" AND lost = "4"
CREATE TABLE table_name_50 (drawn VARCHAR, try_bonus VARCHAR, lost VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 19489, 29, 584, 4280, 28027, 6, 653, 834, 5407, 302, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 8, 653, 4023, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6796, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 653, 834, 5407, 302, 3274, 96, 1298, 121, 3430, 1513, 3274, 96, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Club Clwb Rygbi Cymru Caerdydd RFC has how many points?
SELECT points FROM table_name_40 WHERE club = "clwb rygbi cymru caerdydd rfc"
CREATE TABLE table_name_40 (points VARCHAR, club VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 2700, 7, 584, 4280, 28027, 6, 1886, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1949, 4779, 210, 115, 12749, 122, 115, 23, 6400, 51, 52, 76, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 979, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 1886, 3274, 96, 75, 40, 210, 115, 3, 651, 122, 115, 23, 3, 75, 63, 51, 52, 76, 212, 49, 26, 63, 26, 26, 3, 52, 89, 75, 121, 1, -100, -100, -100, -100, ...
What is the highest Rank with a density less than 376.37, the province was valverde, and an Area larger than 823?
SELECT MAX(rank) FROM table_name_68 WHERE density < 376.37 AND province = "valverde" AND area > 823
CREATE TABLE table_name_68 (rank INTEGER, area VARCHAR, density VARCHAR, province VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 6254, 3, 21342, 17966, 6, 616, 584, 4280, 28027, 6, 11048, 584, 4280, 28027, 6, 7985, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 6254, 61, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 11048, 3, 2, 220, 3959, 5, 4118, 3430, 7985, 3274, 96, 2165, 624, 221, 121, 3430, 616, 2490, 505, 2773, 1, -100, -100, -100, -100, -100, -...
What is the highest Density for the independencia province, with an area smaller than 2,007.4?
SELECT MAX(density) FROM table_name_88 WHERE province = "independencia" AND area < 2 OFFSET 007.4
CREATE TABLE table_name_88 (density INTEGER, province VARCHAR, area VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 537, 7, 485, 3, 21342, 17966, 6, 7985, 584, 4280, 28027, 6, 616, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 3128, 7, 485, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 537, 7, 485, 61, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 7985, 3274, 96, 77, 18790, 35, 4915, 121, 3430, 616, 3, 2, 204, 3, 15316, 20788, 3, 632, 14681, 591, 1, -100, -100, -100, -100, -...
Which 2nd leg has pamesa valencia for team #2?
SELECT 2 AS nd_leg FROM table_name_52 WHERE team__number2 = "pamesa valencia"
CREATE TABLE table_name_52 (team__number2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 11650, 834, 834, 5525, 1152, 357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 204, 727, 4553, 65, 2576, 2687, 9, 3, 2165, 35, 4915, 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, 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, 5373, 549, 17444, 427, 372, 834, 834, 5525, 1152, 357, 3274, 96, 102, 9, 2687, 9, 3, 2165, 35, 4915, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100...
What is the team #1 that has unics kazan for team #2?
SELECT team__number1 FROM table_name_97 WHERE team__number2 = "unics kazan"
CREATE TABLE table_name_97 (team__number1 VARCHAR, team__number2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 11650, 834, 834, 5525, 1152, 536, 584, 4280, 28027, 6, 372, 834, 834, 5525, 1152, 357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 834, 834, 5525, 1152, 536, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 372, 834, 834, 5525, 1152, 357, 3274, 96, 202, 447, 7, 3, 1258, 10241, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the 1st leg that has akasvayu girona as team #2?
SELECT 1 AS st_leg FROM table_name_37 WHERE team__number2 = "akasvayu girona"
CREATE TABLE table_name_37 (team__number2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 11650, 834, 834, 5525, 1152, 357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 209, 7, 17, 4553, 24, 65, 3, 5667, 7, 900, 63, 76,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 209, 6157, 3, 7, 17, 834, 5772, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 372, 834, 834, 5525, 1152, 357, 3274, 96, 5667, 7, 900, 63, 76, 3, 9427, 106, 9, 121, 1, -100, -100, -100, -100, -100, -100, -10...
Which Wins has a Tournament of totals, and a Cuts made larger than 42?
SELECT AVG(wins) FROM table_name_2 WHERE tournament = "totals" AND cuts_made > 42
CREATE TABLE table_name_2 (wins INTEGER, tournament VARCHAR, cuts_made VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 3757, 7, 3, 21342, 17966, 6, 5892, 584, 4280, 28027, 6, 8620, 834, 4725, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4871, 7, 65, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 5892, 3274, 96, 235, 1947, 7, 121, 3430, 8620, 834, 4725, 2490, 6426, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Top-10 has a Cuts made larger than 42?
SELECT MIN(top_10) FROM table_name_57 WHERE cuts_made > 42
CREATE TABLE table_name_57 (top_10 INTEGER, cuts_made INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 2916, 834, 1714, 3, 21342, 17966, 6, 8620, 834, 4725, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 4073, 2224, 4536, 65, 3, 9, 6868, 7, 263, 218...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 2916, 834, 16968, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 8620, 834, 4725, 2490, 6426, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Wins has a Top-5 of 6?
SELECT AVG(wins) FROM table_name_26 WHERE top_5 = 6
CREATE TABLE table_name_26 (wins INTEGER, top_5 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 3757, 7, 3, 21342, 17966, 6, 420, 834, 755, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4871, 7, 65, 3, 9, 2224, 4525, 13, 431, 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, 71, 17217, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 420, 834, 755, 3274, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Cuts made has a Top-25 smaller than 3?
SELECT MAX(cuts_made) FROM table_name_26 WHERE top_25 < 3
CREATE TABLE table_name_26 (cuts_made INTEGER, top_25 INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 3044, 7, 834, 4725, 3, 21342, 17966, 6, 420, 834, 1828, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 4073, 6868, 7, 263, 65, 3, 9, 2224, 14855, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 3044, 7, 834, 4725, 61, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 420, 834, 1828, 3, 2, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Top-10 has a Cuts made of 10, and a Top-5 larger than 1?
SELECT MIN(top_10) FROM table_name_95 WHERE cuts_made = 10 AND top_5 > 1
CREATE TABLE table_name_95 (top_10 INTEGER, cuts_made VARCHAR, top_5 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 2916, 834, 1714, 3, 21342, 17966, 6, 8620, 834, 4725, 584, 4280, 28027, 6, 420, 834, 755, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2224...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 2916, 834, 16968, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 8620, 834, 4725, 3274, 335, 3430, 420, 834, 755, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Concerning protestantism by country, the ranking is out of how many total?
SELECT out_of FROM table_name_62 WHERE source = "protestantism by country"
CREATE TABLE table_name_62 (out_of VARCHAR, source VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 670, 834, 858, 584, 4280, 28027, 6, 1391, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 21508, 53, 4973, 5965, 7, 51, 57, 684, 6, 8, 11592, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 91, 834, 858, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 1391, 3274, 96, 1409, 4377, 5965, 7, 51, 57, 684, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the lowest rank that the protestants population holds?
SELECT MIN(rank) FROM table_name_67 WHERE name = "protestants population"
CREATE TABLE table_name_67 (rank INTEGER, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 6254, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 11003, 24, 8, 4973, 2366, 2074, 4532, 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, 3, 17684, 599, 6254, 61, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 564, 3274, 96, 1409, 4377, 2366, 2074, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
The album titled I had what chart positions?
SELECT chart_positions FROM table_name_21 WHERE album_title = "i"
CREATE TABLE table_name_21 (chart_positions VARCHAR, album_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 4059, 17, 834, 4718, 7, 584, 4280, 28027, 6, 2306, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 37, 2306, 3, 10920, 27, 141, 125, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5059, 834, 4718, 7, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 2306, 834, 21869, 3274, 96, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the title of the album that has Popup has the original label?
SELECT album_title FROM table_name_25 WHERE original_label = "popup"
CREATE TABLE table_name_25 (album_title VARCHAR, original_label VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 23703, 834, 21869, 584, 4280, 28027, 6, 926, 834, 40, 10333, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2233, 13, 8, 2306, 24, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2306, 834, 21869, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 926, 834, 40, 10333, 3274, 96, 9791, 413, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the format of the album with a year less than 1992?
SELECT format FROM table_name_58 WHERE year < 1992
CREATE TABLE table_name_58 (format VARCHAR, year INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 8995, 584, 4280, 28027, 6, 215, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1910, 13, 8, 2306, 28, 3, 9, 215, 705, 145, 9047, 58,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1910, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 215, 3, 2, 9047, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What chart positions did the album reach when ep was the format?
SELECT chart_positions FROM table_name_1 WHERE format = "ep"
CREATE TABLE table_name_1 (chart_positions VARCHAR, format VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 4059, 17, 834, 4718, 7, 584, 4280, 28027, 6, 1910, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 5059, 4655, 410, 8, 2306, 1535, 116, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5059, 834, 4718, 7, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 1910, 3274, 96, 15, 102, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the average pick with Ed O'Bannon and a round smaller than 1?
SELECT AVG(pick) FROM table_name_74 WHERE player = "ed o'bannon" AND round < 1
CREATE TABLE table_name_74 (pick INTEGER, player VARCHAR, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 17967, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1348, 1432, 28, 4857, 411, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 17967, 61, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 1959, 3274, 96, 15, 26, 3, 32, 31, 115, 17805, 121, 3430, 1751, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What player was drafted for the Detroit Pistons?
SELECT player FROM table_name_27 WHERE nba_team = "detroit pistons"
CREATE TABLE table_name_27 (player VARCHAR, nba_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 20846, 584, 4280, 28027, 6, 3, 29, 115, 9, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1959, 47, 3, 23505, 21, 8, 11901, 2745...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1959, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 3, 29, 115, 9, 834, 11650, 3274, 96, 26, 15252, 155, 28688, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Team 2 had a Team 1 of montreal impact?
SELECT team_2 FROM table_name_81 WHERE team_1 = "montreal impact"
CREATE TABLE table_name_81 (team_2 VARCHAR, team_1 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 11650, 834, 357, 584, 4280, 28027, 6, 372, 834, 536, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2271, 204, 141, 3, 9, 2271, 209, 13, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 834, 357, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 372, 834, 536, 3274, 96, 4662, 6644, 1113, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which Team 2 had a Team 1of joe public?
SELECT team_2 FROM table_name_52 WHERE team_1 = "joe public"
CREATE TABLE table_name_52 (team_2 VARCHAR, team_1 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 11650, 834, 357, 584, 4280, 28027, 6, 372, 834, 536, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2271, 204, 141, 3, 9, 2271, 209, 858, 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, 372, 834, 357, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 372, 834, 536, 3274, 96, 1927, 15, 452, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which team 1 had a Team 2 of hankook verdes?
SELECT team_1 FROM table_name_19 WHERE team_2 = "hankook verdes"
CREATE TABLE table_name_19 (team_1 VARCHAR, team_2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 11650, 834, 536, 584, 4280, 28027, 6, 372, 834, 357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 372, 209, 141, 3, 9, 2271, 204, 13, 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, 372, 834, 536, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 372, 834, 357, 3274, 96, 2618, 157, 32, 1825, 12626, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the first leg score when team 2 is Wagad Mogadishu?
SELECT 1 AS st_leg FROM table_name_61 WHERE team_2 = "wagad mogadishu"
CREATE TABLE table_name_61 (team_2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 11650, 834, 357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 166, 4553, 2604, 116, 372, 204, 19, 549, 4711, 26, 283, 19914, 26, 12...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 209, 6157, 3, 7, 17, 834, 5772, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 372, 834, 357, 3274, 96, 15238, 9, 26, 3, 22706, 9, 26, 1273, 76, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Status with a Name that is anas cheuen?
SELECT status FROM table_name_77 WHERE name = "anas cheuen"
CREATE TABLE table_name_77 (status VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 8547, 302, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 19318, 28, 3, 9, 5570, 24, 19, 46, 9, 7, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2637, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 564, 3274, 96, 152, 9, 7, 3, 1033, 76, 35, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the Unit with a Name that is anas cheuen?
SELECT unit FROM table_name_58 WHERE name = "anas cheuen"
CREATE TABLE table_name_58 (unit VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 15129, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 5579, 28, 3, 9, 5570, 24, 19, 46, 9, 7, 3, 1033, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1745, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 564, 3274, 96, 152, 9, 7, 3, 1033, 76, 35, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What team was the Opponent when the Score was 31-6?
SELECT opponent FROM table_name_83 WHERE score = "31-6"
CREATE TABLE table_name_83 (opponent VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 32, 102, 9977, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 372, 47, 8, 4495, 9977, 116, 8, 17763, 47, 220, 270...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15264, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 2604, 3274, 96, 3341, 5783, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the Score when the record was 9-3-0?
SELECT score FROM table_name_76 WHERE record = "9-3-0"
CREATE TABLE table_name_76 (score VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 7, 9022, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 17763, 116, 8, 1368, 47, 668, 18, 22773, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 1368, 3274, 96, 1298, 18, 22773, 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 away team where the home team is Coventry City?
SELECT away_team FROM table_name_73 WHERE home_team = "coventry city"
CREATE TABLE table_name_73 (away_team VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 550, 372, 213, 8, 234, 372, 19...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 550, 834, 11650, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 234, 834, 11650, 3274, 96, 509, 2169, 651, 690, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the score where the away team is Exeter City?
SELECT score FROM table_name_20 WHERE away_team = "exeter city"
CREATE TABLE table_name_20 (score VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 7, 9022, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 213, 8, 550, 372, 19, 31851, 896,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1755, 549, 17444, 427, 550, 834, 11650, 3274, 96, 6667, 449, 690, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many ties does Walsall have?
SELECT tie_no FROM table_name_97 WHERE away_team = "walsall"
CREATE TABLE table_name_97 (tie_no VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 17, 23, 15, 834, 29, 32, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 3, 3010, 405, 8586, 7, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6177, 834, 29, 32, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 550, 834, 11650, 3274, 96, 5380, 7, 1748, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Where Bolton Wanderers is the home team, who is the away team?
SELECT away_team FROM table_name_7 WHERE home_team = "bolton wanderers"
CREATE TABLE table_name_7 (away_team VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 1491, 7377, 12832, 277, 19, 8, 234, 372...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 940, 549, 17444, 427, 234, 834, 11650, 3274, 96, 4243, 17, 106, 10735, 277, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many ties are there where attendance is 11,997?
SELECT tie_no FROM table_name_43 WHERE attendance = "11,997"
CREATE TABLE table_name_43 (tie_no VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 17, 23, 15, 834, 29, 32, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 3, 3010, 33, 132, 213, 11364, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6177, 834, 29, 32, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 11364, 3274, 96, 2596, 6, 3264, 940, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Where the away team is Bradford City, who is the home team?
SELECT home_team FROM table_name_83 WHERE away_team = "bradford city"
CREATE TABLE table_name_83 (home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 8, 550, 372, 19, 28869, 896, 6, 113, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4591, 549, 17444, 427, 550, 834, 11650, 3274, 96, 1939, 26, 2590, 690, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
For which school/club team did the player in the position of Guard/Forward play?
SELECT school_club_team FROM table_name_35 WHERE position = "guard/forward"
CREATE TABLE table_name_35 (school_club_team VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 6646, 834, 13442, 834, 11650, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 242, 84, 496, 87, 13442, 372, 410, 8, 1959,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 496, 834, 13442, 834, 11650, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 1102, 3274, 96, 11010, 87, 26338, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How was the player in the position of Center acquired?
SELECT acquisition_via FROM table_name_26 WHERE position = "center"
CREATE TABLE table_name_26 (acquisition_via VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 28222, 834, 5907, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 47, 8, 1959, 16, 8, 1102, 13, 1166, 7347, 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, 6566, 834, 5907, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 1102, 3274, 96, 13866, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In what season did Omar Thomas play, with a jersey number larger than 15?
SELECT season FROM table_name_81 WHERE number > 15 AND name = "omar thomas"
CREATE TABLE table_name_81 (season VARCHAR, number VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 9476, 584, 4280, 28027, 6, 381, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 125, 774, 410, 411, 1635, 3576, 577, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 774, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 381, 2490, 627, 3430, 564, 3274, 96, 32, 1635, 3, 189, 32, 2754, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many total players came from the school/club team of De La Salle?
SELECT COUNT(number) FROM table_name_62 WHERE school_club_team = "de la salle"
CREATE TABLE table_name_62 (number VARCHAR, school_club_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 5525, 1152, 584, 4280, 28027, 6, 496, 834, 13442, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 792, 1508, 764, 45, 8, 496, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 5525, 1152, 61, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 496, 834, 13442, 834, 11650, 3274, 96, 221, 50, 4762, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which player is in the position of Guard/Forward?
SELECT name FROM table_name_67 WHERE position = "guard/forward"
CREATE TABLE table_name_67 (name VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 4350, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1959, 19, 16, 8, 1102, 13, 12899, 87, 3809, 2239, 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, 564, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 1102, 3274, 96, 11010, 87, 26338, 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 most wins associated with under 4 events with 0 top-5s?
SELECT MAX(wins) FROM table_name_38 WHERE top_5 > 0 AND events < 4
CREATE TABLE table_name_38 (wins INTEGER, top_5 VARCHAR, events VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 3757, 7, 3, 21342, 17966, 6, 420, 834, 755, 584, 4280, 28027, 6, 984, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 167, 9204, 1968,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3757, 7, 61, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 420, 834, 755, 2490, 3, 632, 3430, 984, 3, 2, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the average number of events having 1 top-10, fewer than 4 cuts made, and 0 wins?
SELECT AVG(events) FROM table_name_98 WHERE top_10 = 1 AND wins > 0 AND cuts_made < 4
CREATE TABLE table_name_98 (events INTEGER, cuts_made VARCHAR, top_10 VARCHAR, wins VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 15, 2169, 7, 3, 21342, 17966, 6, 8620, 834, 4725, 584, 4280, 28027, 6, 420, 834, 1714, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 61, 3, 32105, 32106...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 15, 2169, 7, 61, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 420, 834, 1714, 3274, 209, 3430, 9204, 2490, 3, 632, 3430, 8620, 834, 4725, 3, 2, 314, 1, -100, -100, -100, -100, -100, -100, -10...
What is the average number of wins for events larger than 28?
SELECT AVG(wins) FROM table_name_22 WHERE events > 28
CREATE TABLE table_name_22 (wins INTEGER, events INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 3757, 7, 3, 21342, 17966, 6, 984, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 381, 13, 9204, 21, 984, 2186, 145, 2059, 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, 71, 17217, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 984, 2490, 2059, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the sum of top-25s for events with more than 1 top-5?
SELECT SUM(top_25) FROM table_name_71 WHERE top_5 > 1
CREATE TABLE table_name_71 (top_25 INTEGER, top_5 INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 2916, 834, 1828, 3, 21342, 17966, 6, 420, 834, 755, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 13, 420, 14855, 7, 21, 984, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 2916, 834, 1828, 61, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 420, 834, 755, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who is the producer of city sharks?
SELECT producer FROM table_name_57 WHERE title = "city sharks"
CREATE TABLE table_name_57 (producer VARCHAR, title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 1409, 4817, 49, 584, 4280, 28027, 6, 2233, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 8211, 13, 690, 18058, 7, 58, 1, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 8211, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 2233, 3274, 96, 6726, 18058, 7, 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 title of the film when the producer was 2003?
SELECT title FROM table_name_65 WHERE producer = "2003"
CREATE TABLE table_name_65 (title VARCHAR, producer VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 21869, 584, 4280, 28027, 6, 8211, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2233, 13, 8, 814, 116, 8, 8211, 47, 3888, 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, 2233, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 8211, 3274, 96, 23948, 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 is the director when the title is 2003?
SELECT director FROM table_name_27 WHERE title = "2003"
CREATE TABLE table_name_27 (director VARCHAR, title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 25982, 584, 4280, 28027, 6, 2233, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 2090, 116, 8, 2233, 19, 3888, 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, 2090, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 2233, 3274, 96, 23948, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the production cost when the producer is raintree pictures?
SELECT production_cost FROM table_name_63 WHERE producer = "raintree pictures"
CREATE TABLE table_name_63 (production_cost VARCHAR, producer VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 20762, 834, 11290, 584, 4280, 28027, 6, 8211, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 999, 583, 116, 8, 8211, 19, 3412, 929, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 999, 834, 11290, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 8211, 3274, 96, 6559, 929, 15, 1933, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the lowest attendance at a week 15 game?
SELECT MIN(attendance) FROM table_name_50 WHERE week = 15
CREATE TABLE table_name_50 (attendance INTEGER, week VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 15116, 663, 3, 21342, 17966, 6, 471, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 7402, 11364, 44, 3, 9, 471, 627, 467, 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, 15116, 663, 61, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 471, 3274, 627, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the Score for the game with a record of 38-18?
SELECT score FROM table_name_84 WHERE record = "38-18"
CREATE TABLE table_name_84 (score VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 7, 9022, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 17763, 21, 8, 467, 28, 3, 9, 1368, 13, 6654, 699...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4608, 549, 17444, 427, 1368, 3274, 96, 3747, 6996, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What team was the opponent when the score was 8-2?
SELECT opponent FROM table_name_24 WHERE score = "8-2"
CREATE TABLE table_name_24 (opponent VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 32, 102, 9977, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 372, 47, 8, 15264, 116, 8, 2604, 47, 505, 4949, 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, 15264, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 2604, 3274, 96, 927, 4949, 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 Location when the opponent shows vs. ole miss, and a Loss of mckean (4-1)?
SELECT location FROM table_name_41 WHERE opponent = "vs. ole miss" AND loss = "mckean (4-1)"
CREATE TABLE table_name_41 (location VARCHAR, opponent VARCHAR, loss VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 14836, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 10450, 116, 8, 15264, 1267...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1128, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 15264, 3274, 96, 208, 7, 5, 3, 32, 109, 3041, 121, 3430, 1453, 3274, 96, 51, 8849, 152, 8457, 18, 6982, 121, 1, -100, -100, -100, -100, -100, -100, -100, -1...
What is the name of the Opponent when there is a Record of 39-19?
SELECT opponent FROM table_name_79 WHERE record = "39-19"
CREATE TABLE table_name_79 (opponent VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 32, 102, 9977, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 4495, 9977, 116, 132, 19, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 1368, 3274, 96, 3288, 4481, 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 Record on may 24, with a Loss of hayes (2-1)?
SELECT record FROM table_name_98 WHERE date = "may 24" AND loss = "hayes (2-1)"
CREATE TABLE table_name_98 (record VARCHAR, date VARCHAR, loss VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 60, 7621, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 11392, 30, 164, 14320, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1368, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 833, 3274, 96, 13726, 997, 121, 3430, 1453, 3274, 96, 12687, 15, 7, 41, 17234, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the Location when the Opponent shows vs. #23 south carolina?
SELECT location FROM table_name_83 WHERE opponent = "vs. #23 south carolina"
CREATE TABLE table_name_83 (location VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 14836, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 10450, 116, 8, 4495, 9977, 1267, 3, 208, 7, 5, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 15264, 3274, 96, 208, 7, 5, 1713, 2773, 3414, 443, 12057, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is that if the weight for the play born on June 2, 1983?
SELECT SUM(weight__kg_) FROM table_name_90 WHERE birthdate = "june 2, 1983"
CREATE TABLE table_name_90 (weight__kg_ INTEGER, birthdate VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 9378, 834, 834, 8711, 834, 3, 21342, 17966, 6, 3879, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 24, 3, 99, 8, 1293, 21, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 9378, 834, 834, 8711, 834, 61, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 3879, 5522, 3274, 96, 6959, 15, 3547, 15041, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the highest weight in kg for F Position, Jersey #12?
SELECT MAX(weight__kg_) FROM table_name_41 WHERE position = "f" AND jersey__number = 12
CREATE TABLE table_name_41 (weight__kg_ INTEGER, position VARCHAR, jersey__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 9378, 834, 834, 8711, 834, 3, 21342, 17966, 6, 1102, 584, 4280, 28027, 6, 13426, 834, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 9378, 834, 834, 8711, 834, 61, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 1102, 3274, 96, 89, 121, 3430, 13426, 834, 834, 5525, 1152, 3274, 586, 1, -100, -100, -100, -100, -100, -100, -100, -10...
Which player is the NHL right, who was born in Downers Grove, Illinois?
SELECT nhl_rights, _if_any FROM table_name_7 WHERE birthplace = "downers grove, illinois"
CREATE TABLE table_name_7 (nhl_rights VARCHAR, _if_any VARCHAR, birthplace VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 29, 107, 40, 834, 3535, 7, 584, 4280, 28027, 6, 3, 834, 99, 834, 6820, 584, 4280, 28027, 6, 3879, 4687, 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, 0, 0...
[ 3, 23143, 14196, 3, 29, 107, 40, 834, 3535, 7, 6, 3, 834, 99, 834, 6820, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 3879, 4687, 3274, 96, 3035, 277, 3, 20254, 6, 3, 1092, 77, 32, 159, 121, 1, -100, -100, -100, -100, -10...
Which coding's variant id is abd'1a 3?
SELECT coding FROM table_name_48 WHERE variant_id = "abd'1a 3"
CREATE TABLE table_name_48 (coding VARCHAR, variant_id VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 9886, 584, 4280, 28027, 6, 6826, 834, 23, 26, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 3, 9886, 31, 7, 6826, 3, 23, 26, 19, 703, 26...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 9886, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 6826, 834, 23, 26, 3274, 96, 9, 115, 26, 31, 536, 9, 220, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which 5'utr splice's coding is 1a 2, when the Variant id is abd'1a 2?
SELECT 5 AS ’utr_splice FROM table_name_70 WHERE coding = "1a 2" AND variant_id = "abd'1a 2"
CREATE TABLE table_name_70 (coding VARCHAR, variant_id VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 9886, 584, 4280, 28027, 6, 6826, 834, 23, 26, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 305, 31, 76, 17, 52, 3, 7, 10435, 15, 31, 7,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 305, 6157, 3, 22, 76, 17, 52, 834, 7, 10435, 15, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 3, 9886, 3274, 96, 536, 9, 204, 121, 3430, 6826, 834, 23, 26, 3274, 96, 9, 115, 26, 31, 536, 9, 204, 121, 1...
Which genbank id's variant is abd1a?
SELECT genbank_id FROM table_name_41 WHERE variant_id = "abd1a"
CREATE TABLE table_name_41 (genbank_id VARCHAR, variant_id VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 729, 4739, 834, 23, 26, 584, 4280, 28027, 6, 6826, 834, 23, 26, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 3, 729, 4739, 3, 23, 26, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 729, 4739, 834, 23, 26, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 6826, 834, 23, 26, 3274, 96, 9, 115, 26, 536, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What year did Orlando have a School/Club team in Clemson?
SELECT years_in_orlando FROM table_name_53 WHERE school_club_team = "clemson"
CREATE TABLE table_name_53 (years_in_orlando VARCHAR, school_club_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 1201, 7, 834, 77, 834, 32, 7721, 32, 584, 4280, 28027, 6, 496, 834, 13442, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 215, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 203, 834, 77, 834, 32, 7721, 32, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 496, 834, 13442, 834, 11650, 3274, 96, 2482, 51, 739, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What years did the player in Orlando play that is from the United States, and is part of the school/club team Clemson?
SELECT years_in_orlando FROM table_name_7 WHERE nationality = "united states" AND school_club_team = "clemson"
CREATE TABLE table_name_7 (years_in_orlando VARCHAR, nationality VARCHAR, school_club_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 1201, 7, 834, 77, 834, 32, 7721, 32, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 496, 834, 13442, 834, 11650, 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, 203, 834, 77, 834, 32, 7721, 32, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 1157, 485, 3274, 96, 15129, 15, 26, 2315, 121, 3430, 496, 834, 13442, 834, 11650, 3274, 96, 2482, 51, 739, 121, 1, -100, -100, -10...
Who is the player for the School/Club team in Georgia?
SELECT player FROM table_name_73 WHERE school_club_team = "georgia"
CREATE TABLE table_name_73 (player VARCHAR, school_club_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 20846, 584, 4280, 28027, 6, 496, 834, 13442, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 1959, 21, 8, 1121, 87, 254, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 496, 834, 13442, 834, 11650, 3274, 96, 397, 1677, 23, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the nationality of the player Pat Garrity?
SELECT nationality FROM table_name_28 WHERE player = "pat garrity"
CREATE TABLE table_name_28 (nationality VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 16557, 485, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1157, 485, 13, 8, 1959, 5192, 3121, 52, 485, 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, 1157, 485, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 1959, 3274, 96, 4665, 5260, 52, 485, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the nationality of the School/Club team of Louisville?
SELECT nationality FROM table_name_43 WHERE school_club_team = "louisville"
CREATE TABLE table_name_43 (nationality VARCHAR, school_club_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 16557, 485, 584, 4280, 28027, 6, 496, 834, 13442, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1157, 485, 13, 8, 1121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1157, 485, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 496, 834, 13442, 834, 11650, 3274, 96, 40, 1063, 23, 9727, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many features did Adam Carroll win 6 times when the start was larger than 32?
SELECT COUNT(feature) FROM table_name_88 WHERE wins = 6 AND driver = "adam carroll" AND starts > 32
CREATE TABLE table_name_88 (feature VARCHAR, starts VARCHAR, wins VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 30844, 584, 4280, 28027, 6, 3511, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 75...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 30844, 61, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 9204, 3274, 431, 3430, 2535, 3274, 96, 9, 7812, 443, 4046, 121, 3430, 3511, 2490, 3538, 1, -100, -100, -100, -100, -100, -100, -100, -100...
What is the lowest feature with 2 wins and 2 sprints?
SELECT MIN(feature) FROM table_name_32 WHERE wins = 2 AND sprint = 2
CREATE TABLE table_name_32 (feature INTEGER, wins VARCHAR, sprint VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 30844, 3, 21342, 17966, 6, 9204, 584, 4280, 28027, 6, 21710, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 1451, 28, 204, 9204, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 30844, 61, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 9204, 3274, 204, 3430, 21710, 3274, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many sprints on average had 10 wins and less than 5 features?
SELECT AVG(sprint) FROM table_name_85 WHERE wins = 10 AND feature < 5
CREATE TABLE table_name_85 (sprint INTEGER, wins VARCHAR, feature VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 7, 7260, 3, 21342, 17966, 6, 9204, 584, 4280, 28027, 6, 1451, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 21710, 7, 30, 1348, 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, 71, 17217, 599, 7, 7260, 61, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 9204, 3274, 335, 3430, 1451, 3, 2, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which country has a lane greater than 6 and a mark of 6.63?
SELECT country FROM table_name_80 WHERE lane > 6 AND mark = "6.63"
CREATE TABLE table_name_80 (country VARCHAR, lane VARCHAR, mark VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 17529, 584, 4280, 28027, 6, 3, 8102, 584, 4280, 28027, 6, 3946, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 684, 65, 3, 9, 3, 8102, 2123...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 684, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 3, 8102, 2490, 431, 3430, 3946, 3274, 96, 28833, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the lowest lane for Nigeria, with a react less than 0.133?
SELECT MIN(lane) FROM table_name_17 WHERE country = "nigeria" AND react < 0.133
CREATE TABLE table_name_17 (lane INTEGER, country VARCHAR, react VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 8102, 3, 21342, 17966, 6, 684, 584, 4280, 28027, 6, 8922, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 3, 8102, 21, 7904, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 8102, 61, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 684, 3274, 96, 7315, 4476, 121, 3430, 8922, 3, 2, 4097, 22974, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the mark for Kim Collins?
SELECT mark FROM table_name_11 WHERE name = "kim collins"
CREATE TABLE table_name_11 (mark VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 3920, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3946, 21, 6777, 16517, 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, 3946, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 564, 3274, 96, 19754, 8029, 77, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which country had 1 Bronze, 1 Silver, with a total of 3 medals?
SELECT nation FROM table_name_10 WHERE bronze = 1 AND total = 3 AND silver = 1
CREATE TABLE table_name_10 (nation VARCHAR, silver VARCHAR, bronze VARCHAR, total VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 29, 257, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 6, 13467, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 684,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2982, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 13467, 3274, 209, 3430, 792, 3274, 220, 3430, 4294, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which country had more than 2 silvers and less than 4 golds?
SELECT nation FROM table_name_65 WHERE silver > 2 AND gold < 4
CREATE TABLE table_name_65 (nation VARCHAR, silver VARCHAR, gold VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 29, 257, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 6, 2045, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 684, 141, 72, 145, 204, 4294, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2982, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 4294, 2490, 204, 3430, 2045, 3, 2, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What's the average bronze with a total number of medals being 1, with more than 0 silvers?
SELECT AVG(bronze) FROM table_name_25 WHERE total = 1 AND silver > 0
CREATE TABLE table_name_25 (bronze INTEGER, total VARCHAR, silver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 13711, 776, 3, 21342, 17966, 6, 792, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 1348, 13467, 28, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 13711, 776, 61, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 792, 3274, 209, 3430, 4294, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
In the 2005 season, how many races did the 15th place team complete?
SELECT AVG(races) FROM table_name_98 WHERE final_placing = "15th" AND season = "2005"
CREATE TABLE table_name_98 (races INTEGER, final_placing VARCHAR, season VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 12614, 7, 3, 21342, 17966, 6, 804, 834, 6042, 75, 53, 584, 4280, 28027, 6, 774, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 8, 3105, 774, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 12614, 7, 61, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 804, 834, 6042, 75, 53, 3274, 96, 1808, 189, 121, 3430, 774, 3274, 96, 22594, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which team completed 10 races?
SELECT team_name FROM table_name_92 WHERE races = 10
CREATE TABLE table_name_92 (team_name VARCHAR, races VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 11650, 834, 4350, 584, 4280, 28027, 6, 10879, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 372, 2012, 335, 10879, 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, 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, 372, 834, 4350, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 10879, 3274, 335, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the PBA team with a Pick that is 4?
SELECT pba_team FROM table_name_35 WHERE pick = 4
CREATE TABLE table_name_35 (pba_team VARCHAR, pick VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 102, 115, 9, 834, 11650, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 276, 4882, 372, 28, 3, 9, 8356, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 102, 115, 9, 834, 11650, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 1432, 3274, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the Player with a Pick that is 6?
SELECT player FROM table_name_15 WHERE pick = 6
CREATE TABLE table_name_15 (player VARCHAR, pick VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 20846, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 12387, 28, 3, 9, 8356, 24, 19, 431, 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, 1959, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 1432, 3274, 431, 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 totals have 1 gold and a rank smaller than 2?
SELECT COUNT(total) FROM table_name_32 WHERE gold = 1 AND rank < 2
CREATE TABLE table_name_32 (total VARCHAR, gold VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 235, 1947, 584, 4280, 28027, 6, 2045, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 792, 7, 43, 209, 2045, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 235, 1947, 61, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 2045, 3274, 209, 3430, 11003, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How much gold did South Korea get?
SELECT SUM(gold) FROM table_name_49 WHERE nation = "south korea"
CREATE TABLE table_name_49 (gold INTEGER, nation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 14910, 3, 21342, 17966, 6, 2982, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 231, 2045, 410, 1013, 7054, 129, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 14910, 61, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 2982, 3274, 96, 7, 670, 107, 3, 5543, 15, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What locomotive built after 1895 has the highest SLM number?
SELECT MAX(SLM) AS number FROM table_name_26 WHERE built > 1895
CREATE TABLE table_name_26 (SLM INTEGER, built INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 134, 11160, 3, 21342, 17966, 6, 1192, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 31301, 1192, 227, 507, 3301, 65, 8, 2030, 180, 11160, 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, 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, 134, 11160, 61, 6157, 381, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 1192, 2490, 507, 3301, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...