NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
What is the highest game number that had a time of 2:44?
SELECT MAX(game) FROM table_name_78 WHERE time = "2:44"
CREATE TABLE table_name_78 (game INTEGER, time VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 7261, 3, 21342, 17966, 6, 97, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 467, 381, 24, 141, 3, 9, 97, 13, 204, 10, 3628, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 7261, 61, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 97, 3274, 96, 357, 10, 3628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the highest 3rd place for nation of perak fa
SELECT MAX(3 AS rd_place) FROM table_name_65 WHERE nation = "perak fa"
CREATE TABLE table_name_65 (nation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 29, 257, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 2030, 220, 52, 26, 286, 21, 2982, 13, 399, 1639, 3, 89, 9, 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, 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, 4800, 4, 599, 519, 6157, 3, 52, 26, 834, 4687, 61, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 2982, 3274, 96, 883, 1639, 3, 89, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the gold medal count for the country with a total greater than 32 and more than 128 silvers?
SELECT AVG(gold) FROM table_name_53 WHERE total > 32 AND silver > 128
CREATE TABLE table_name_53 (gold INTEGER, total VARCHAR, silver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 14910, 3, 21342, 17966, 6, 792, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2045, 9365, 3476, 21, 8, 68...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14910, 61, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 792, 2490, 3538, 3430, 4294, 2490, 209, 2577, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the maximum number of silvers for a country with fewer than 12 golds and a total less than 8?
SELECT MAX(silver) FROM table_name_72 WHERE gold < 12 AND total < 8
CREATE TABLE table_name_72 (silver INTEGER, gold VARCHAR, total VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 7, 173, 624, 3, 21342, 17966, 6, 2045, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2411, 381, 13, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 7, 173, 624, 61, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 2045, 3, 2, 586, 3430, 792, 3, 2, 505, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the total number of wins for riders with fewer than 56 races and more than 0 titles?
SELECT COUNT(wins) FROM table_name_45 WHERE races < 56 AND titles > 0
CREATE TABLE table_name_45 (wins VARCHAR, races VARCHAR, titles VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 3757, 7, 584, 4280, 28027, 6, 10879, 584, 4280, 28027, 6, 8342, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, 381, 13, 9204, 21...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 10879, 3, 2, 11526, 3430, 8342, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the tournament for top-5 more thn 1 and top-25 of 13 with wins of 3
SELECT tournament FROM table_name_4 WHERE top_5 > 1 AND top_25 = 13 AND wins = 3
CREATE TABLE table_name_4 (tournament VARCHAR, wins VARCHAR, top_5 VARCHAR, top_25 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 17, 1211, 20205, 17, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 6, 420, 834, 755, 584, 4280, 28027, 6, 420, 834, 1828, 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, 5892, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 420, 834, 755, 2490, 209, 3430, 420, 834, 1828, 3274, 1179, 3430, 9204, 3274, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the average cuts for top-25 more than 13 and top-5 less than 11
SELECT AVG(cuts_made) FROM table_name_5 WHERE top_25 > 13 AND top_5 < 11
CREATE TABLE table_name_5 (cuts_made INTEGER, top_25 VARCHAR, top_5 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 3044, 7, 834, 4725, 3, 21342, 17966, 6, 420, 834, 1828, 584, 4280, 28027, 6, 420, 834, 755, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 3044, 7, 834, 4725, 61, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 420, 834, 1828, 2490, 1179, 3430, 420, 834, 755, 3, 2, 850, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the total number of wins with top-25 of 10 and events less than 26
SELECT COUNT(wins) FROM table_name_67 WHERE top_25 = 10 AND events < 26
CREATE TABLE table_name_67 (wins VARCHAR, top_25 VARCHAR, events VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 3757, 7, 584, 4280, 28027, 6, 420, 834, 1828, 584, 4280, 28027, 6, 984, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381, 13, 920...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 420, 834, 1828, 3274, 335, 3430, 984, 3, 2, 2208, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the sum of top-25 for pga championship and top-5 less than 1
SELECT SUM(top_25) FROM table_name_21 WHERE tournament = "pga championship" AND top_5 < 1
CREATE TABLE table_name_21 (top_25 INTEGER, tournament VARCHAR, top_5 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 2916, 834, 1828, 3, 21342, 17966, 6, 5892, 584, 4280, 28027, 6, 420, 834, 755, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 4505, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 2916, 834, 1828, 61, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 5892, 3274, 96, 102, 122, 9, 10183, 121, 3430, 420, 834, 755, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
What stage has a start of saint-girons in 1988?
SELECT stage FROM table_name_39 WHERE start = "saint-girons" AND year = 1988
CREATE TABLE table_name_39 (stage VARCHAR, start VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 10705, 584, 4280, 28027, 6, 456, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1726, 65, 3, 9, 456, 13, 15528, 18...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1726, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 456, 3274, 96, 7, 9, 77, 17, 18, 9427, 106, 7, 121, 3430, 215, 3274, 10414, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What category was in 1964?
SELECT category FROM table_name_14 WHERE year = 1964
CREATE TABLE table_name_14 (category VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 8367, 839, 651, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 3295, 47, 16, 18969, 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, 3295, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 215, 3274, 18969, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
An artist of the Beatles with an issue date(s) of 19 September has what as the listed weeks on top?
SELECT weeks_on_top FROM table_name_26 WHERE artist = "the beatles" AND issue_date_s_ = "19 september"
CREATE TABLE table_name_26 (weeks_on_top VARCHAR, artist VARCHAR, issue_date_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 8041, 7, 834, 106, 834, 2916, 584, 4280, 28027, 6, 2377, 584, 4280, 28027, 6, 962, 834, 5522, 834, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1274, 834, 106, 834, 2916, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 2377, 3274, 96, 532, 3853, 965, 121, 3430, 962, 834, 5522, 834, 7, 834, 3274, 96, 2294, 16022, 18247, 121, 1, -100, -100, -100, -100, -10...
With an issue date(s) of 12 September, what is in the column for Weeks on Top?
SELECT weeks_on_top FROM table_name_96 WHERE issue_date_s_ = "12 september"
CREATE TABLE table_name_96 (weeks_on_top VARCHAR, issue_date_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 8041, 7, 834, 106, 834, 2916, 584, 4280, 28027, 6, 962, 834, 5522, 834, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 438, 46, 962, 833,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1274, 834, 106, 834, 2916, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 962, 834, 5522, 834, 7, 834, 3274, 96, 2122, 16022, 18247, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What Premier League Manager has an Adidas sponsor and a Newcastle United club?
SELECT manager FROM table_name_52 WHERE manufacturer = "adidas" AND club = "newcastle united"
CREATE TABLE table_name_52 (manager VARCHAR, manufacturer VARCHAR, club VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 24185, 584, 4280, 28027, 6, 4818, 584, 4280, 28027, 6, 1886, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 6552, 3815, 3440, 65, 46, 26149, 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, 2743, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 4818, 3274, 96, 9, 12416, 9, 7, 121, 3430, 1886, 3274, 96, 5534, 5254, 109, 18279, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Manchester United captain is sponsored by Nike?
SELECT captain FROM table_name_54 WHERE manufacturer = "nike" AND club = "manchester united"
CREATE TABLE table_name_54 (captain VARCHAR, manufacturer VARCHAR, club VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 4010, 17, 9, 77, 584, 4280, 28027, 6, 4818, 584, 4280, 28027, 6, 1886, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 9145, 907, 14268, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 14268, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 4818, 3274, 96, 4953, 15, 121, 3430, 1886, 3274, 96, 348, 13263, 18279, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who is Dean Whitehead's manager?
SELECT manager FROM table_name_92 WHERE captain = "dean whitehead"
CREATE TABLE table_name_92 (manager VARCHAR, captain VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 24185, 584, 4280, 28027, 6, 14268, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 12738, 1945, 3313, 31, 7, 2743, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2743, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 14268, 3274, 96, 221, 152, 872, 3313, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In which club is Ledley King a captain?
SELECT club FROM table_name_3 WHERE captain = "ledley king"
CREATE TABLE table_name_3 (club VARCHAR, captain VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 13442, 584, 4280, 28027, 6, 14268, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 84, 1886, 19, 312, 26, 1306, 2671, 3, 9, 14268, 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, 1886, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 14268, 3274, 96, 1361, 1306, 3, 1765, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who is the captain of Middlesbrough?
SELECT captain FROM table_name_15 WHERE club = "middlesbrough"
CREATE TABLE table_name_15 (captain VARCHAR, club VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 4010, 17, 9, 77, 584, 4280, 28027, 6, 1886, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 14268, 13, 4551, 7, 115, 13245, 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, 14268, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 1886, 3274, 96, 6983, 26, 965, 115, 13245, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the city of license with resolution of sd 480i and official website of telemundo.com
SELECT city_of_license FROM table_name_34 WHERE resolution = "sd 480i" AND official_website = "telemundo.com"
CREATE TABLE table_name_34 (city_of_license VARCHAR, resolution VARCHAR, official_website VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 6726, 834, 858, 834, 28062, 584, 4280, 28027, 6, 3161, 584, 4280, 28027, 6, 2314, 834, 8398, 3585, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 690, 834, 858, 834, 28062, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 3161, 3274, 96, 7, 26, 3, 20579, 23, 121, 3430, 2314, 834, 8398, 3585, 3274, 96, 1931, 51, 1106, 32, 5, 287, 121, 1, -100, -100, -100, ...
Name the dish for resolution of sd 480i and network of bvb
SELECT dish FROM table_name_8 WHERE resolution = "sd 480i" AND network = "bvb"
CREATE TABLE table_name_8 (dish VARCHAR, resolution VARCHAR, network VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 26, 1273, 584, 4280, 28027, 6, 3161, 584, 4280, 28027, 6, 1229, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 4419, 21, 3161, 13, 3, 7, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4419, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 3161, 3274, 96, 7, 26, 3, 20579, 23, 121, 3430, 1229, 3274, 96, 115, 208, 115, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the resolution for dish of 5270
SELECT resolution FROM table_name_36 WHERE dish = "5270"
CREATE TABLE table_name_36 (resolution VARCHAR, dish VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 60, 14913, 584, 4280, 28027, 6, 4419, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 3161, 21, 4419, 13, 305, 17485, 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, 3161, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 4419, 3274, 96, 5373, 2518, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the official website which has dish of • and callsign of kvtv
SELECT official_website FROM table_name_18 WHERE dish = "•" AND callsign = "kvtv"
CREATE TABLE table_name_18 (official_website VARCHAR, dish VARCHAR, callsign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 20884, 834, 8398, 3585, 584, 4280, 28027, 6, 4419, 584, 4280, 28027, 6, 580, 6732, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 2314, 47...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2314, 834, 8398, 3585, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 4419, 3274, 96, 29947, 121, 3430, 580, 6732, 3274, 96, 157, 208, 17, 208, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the resolution for ketftv.com and callsign of kldo-dt2
SELECT resolution FROM table_name_87 WHERE official_website = "ketftv.com" AND callsign = "kldo-dt2"
CREATE TABLE table_name_87 (resolution VARCHAR, official_website VARCHAR, callsign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4225, 41, 60, 14913, 584, 4280, 28027, 6, 2314, 834, 8398, 3585, 584, 4280, 28027, 6, 580, 6732, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 3161...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3161, 21680, 953, 834, 4350, 834, 4225, 549, 17444, 427, 2314, 834, 8398, 3585, 3274, 96, 8044, 89, 17, 208, 5, 287, 121, 3430, 580, 6732, 3274, 96, 157, 40, 26, 32, 18, 26, 17, 357, 121, 1, -100, -100, -100, -1...
Name the resolution with dish of 8126
SELECT resolution FROM table_name_91 WHERE dish = "8126"
CREATE TABLE table_name_91 (resolution VARCHAR, dish VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 60, 14913, 584, 4280, 28027, 6, 4419, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 3161, 28, 4419, 13, 505, 21976, 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, 3161, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 4419, 3274, 96, 4959, 2688, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the highest points for the team of marlboro brm with brm p180 as the chassis?
SELECT MAX(points) FROM table_name_43 WHERE team = "marlboro brm" AND chassis = "brm p180"
CREATE TABLE table_name_43 (points INTEGER, team VARCHAR, chassis VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 2700, 7, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 22836, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 2030, 979, 21, 8, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 372, 3274, 96, 1635, 40, 14901, 6397, 51, 121, 3430, 22836, 3274, 96, 115, 52, 51, 3, 102, 20829, 121, 1, -100, -100, -100, -100, -100,...
Which chassis has marlboro brm as the team?
SELECT chassis FROM table_name_89 WHERE team = "marlboro brm"
CREATE TABLE table_name_89 (chassis VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 524, 6500, 7, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 22836, 65, 3157, 40, 14901, 6397, 51, 38, 8, 372, 58...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 22836, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 372, 3274, 96, 1635, 40, 14901, 6397, 51, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What place did Jimmy Reece start from when he ranked 12?
SELECT start FROM table_name_83 WHERE rank = "12"
CREATE TABLE table_name_83 (start VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 10208, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 286, 410, 16754, 419, 15, 565, 456, 45, 116, 3, 88, 3, 823...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 456, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 11003, 3274, 96, 2122, 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 place did Jimmy Reece finish in 1957?
SELECT finish FROM table_name_29 WHERE year = "1957"
CREATE TABLE table_name_29 (finish VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 25535, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 286, 410, 16754, 419, 15, 565, 1992, 16, 24011, 58, 1, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1992, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 215, 3274, 96, 2294, 3436, 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 Sydney that has Adelaide, Gold Coast, Melbourne, and Auckland are all yes?
SELECT sydney FROM table_name_61 WHERE adelaide = "yes" AND gold_coast = "yes" AND melbourne = "yes" AND auckland = "yes"
CREATE TABLE table_name_61 (sydney VARCHAR, auckland VARCHAR, melbourne VARCHAR, adelaide VARCHAR, gold_coast VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 7, 63, 26, 3186, 584, 4280, 28027, 6, 3, 9, 4636, 40, 232, 584, 4280, 28027, 6, 3, 2341, 26255, 584, 4280, 28027, 6, 3, 15311, 5385, 584, 4280, 28027...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 7, 63, 26, 3186, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 3, 15311, 5385, 3274, 96, 10070, 121, 3430, 2045, 834, 25500, 3274, 96, 10070, 121, 3430, 3, 2341, 26255, 3274, 96, 10070, 121, 3430, 3, 9, 46...
What is The Melbourne with a No- Gold Coast
SELECT melbourne FROM table_name_67 WHERE gold_coast = "no"
CREATE TABLE table_name_67 (melbourne VARCHAR, gold_coast VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 2341, 26255, 584, 4280, 28027, 6, 2045, 834, 25500, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 37, 9396, 28, 3, 9, 465, 18, 2540, 54...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2341, 26255, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 2045, 834, 25500, 3274, 96, 29, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the rank of the candidate with more than 2,211 votes?
SELECT rank FROM table_name_22 WHERE votes > 2 OFFSET 211
CREATE TABLE table_name_22 (rank VARCHAR, votes INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 6254, 584, 4280, 28027, 6, 11839, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 11003, 13, 8, 4775, 28, 72, 145, 3547, 27278, 11839, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 11003, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 11839, 2490, 204, 3, 15316, 20788, 3, 27278, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What the since year of the player with a transfer fee of £ 75k?
SELECT since FROM table_name_76 WHERE transfer_fee = "£ 75k"
CREATE TABLE table_name_76 (since VARCHAR, transfer_fee VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 27296, 584, 4280, 28027, 6, 2025, 834, 89, 15, 15, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 8, 437, 215, 13, 8, 1959, 28, 3, 9, 2025...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 437, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 2025, 834, 89, 15, 15, 3274, 96, 19853, 6374, 157, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the since year for the player with more than 3 goals and a transfer fee of £400k?
SELECT since FROM table_name_24 WHERE goals > 3 AND transfer_fee = "£400k"
CREATE TABLE table_name_24 (since VARCHAR, goals VARCHAR, transfer_fee VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 27296, 584, 4280, 28027, 6, 1766, 584, 4280, 28027, 6, 2025, 834, 89, 15, 15, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 437, 215...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 437, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 1766, 2490, 220, 3430, 2025, 834, 89, 15, 15, 3274, 96, 19853, 5548, 157, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the nationality of the player with a transfer fee of £400k?
SELECT nat FROM table_name_99 WHERE transfer_fee = "£400k"
CREATE TABLE table_name_99 (nat VARCHAR, transfer_fee VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 29, 144, 584, 4280, 28027, 6, 2025, 834, 89, 15, 15, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1157, 485, 13, 8, 1959, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 29, 144, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 2025, 834, 89, 15, 15, 3274, 96, 19853, 5548, 157, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the average goals Sawyer has?
SELECT AVG(goals) FROM table_name_46 WHERE name = "sawyer"
CREATE TABLE table_name_46 (goals INTEGER, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 839, 5405, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 1766, 19716, 7975, 65, 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, 839, 5405, 61, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 564, 3274, 96, 13125, 7975, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What were the goal conceded that had a lost greater than 8 and more than 17 points?
SELECT MAX(goals_conceded) FROM table_name_19 WHERE lost > 8 AND points > 17
CREATE TABLE table_name_19 (goals_conceded INTEGER, lost VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 839, 5405, 834, 11620, 221, 26, 3, 21342, 17966, 6, 1513, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 130, 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, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 839, 5405, 834, 11620, 221, 26, 61, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 1513, 2490, 505, 3430, 979, 2490, 1003, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For Once Municipal, what were the goals scored that had less than 27 points and greater than place 1?
SELECT AVG(goals_scored) FROM table_name_69 WHERE place > 1 AND team = "once municipal" AND points < 27
CREATE TABLE table_name_69 (goals_scored INTEGER, points VARCHAR, place VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 839, 5405, 834, 3523, 1271, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 6, 286, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 839, 5405, 834, 3523, 1271, 61, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 286, 2490, 209, 3430, 372, 3274, 96, 14549, 10516, 121, 3430, 979, 3, 2, 2307, 1, -100, -100, -100, -100, -100, -100...
How many points were in a game that had a lost of 5, greater than place 2, and 27 goals conceded?
SELECT COUNT(points) FROM table_name_85 WHERE goals_conceded = 27 AND lost = 5 AND place > 2
CREATE TABLE table_name_85 (points VARCHAR, place VARCHAR, goals_conceded VARCHAR, lost VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 2700, 7, 584, 4280, 28027, 6, 286, 584, 4280, 28027, 6, 1766, 834, 11620, 221, 26, 584, 4280, 28027, 6, 1513, 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, 2847, 17161, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 1766, 834, 11620, 221, 26, 3274, 2307, 3430, 1513, 3274, 305, 3430, 286, 2490, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest amount of goals scored that has more than 19 goal conceded and played less than 18?
SELECT MIN(goals_scored) FROM table_name_50 WHERE goals_conceded > 19 AND played < 18
CREATE TABLE table_name_50 (goals_scored INTEGER, goals_conceded VARCHAR, played VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 839, 5405, 834, 3523, 1271, 3, 21342, 17966, 6, 1766, 834, 11620, 221, 26, 584, 4280, 28027, 6, 1944, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 839, 5405, 834, 3523, 1271, 61, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 1766, 834, 11620, 221, 26, 2490, 957, 3430, 1944, 3, 2, 507, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What are the number of goals conceded that has a played greater than 18?
SELECT COUNT(goals_conceded) FROM table_name_13 WHERE played > 18
CREATE TABLE table_name_13 (goals_conceded VARCHAR, played INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 839, 5405, 834, 11620, 221, 26, 584, 4280, 28027, 6, 1944, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 381, 13, 1766, 28325, 26, 24...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 839, 5405, 834, 11620, 221, 26, 61, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 1944, 2490, 507, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What's the place that Once Municipal has a lost greater than 3?
SELECT AVG(place) FROM table_name_81 WHERE team = "once municipal" AND lost > 3
CREATE TABLE table_name_81 (place INTEGER, team VARCHAR, lost VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 4687, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 286, 24, 1447, 16492, 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, 71, 17217, 599, 4687, 61, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 372, 3274, 96, 14549, 10516, 121, 3430, 1513, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Give the Finish for years after 2007.
SELECT finish FROM table_name_42 WHERE year > 2007
CREATE TABLE table_name_42 (finish VARCHAR, year INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4165, 41, 25535, 584, 4280, 28027, 6, 215, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 6434, 8, 17578, 21, 203, 227, 12598, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1992, 21680, 953, 834, 4350, 834, 4165, 549, 17444, 427, 215, 2490, 4101, 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...
Give the Finish for a Stage that is larger than 15
SELECT finish FROM table_name_44 WHERE stage > 15
CREATE TABLE table_name_44 (finish VARCHAR, stage INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 25535, 584, 4280, 28027, 6, 1726, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 6434, 8, 17578, 21, 3, 9, 13578, 24, 19, 2186, 145, 627, 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, 1992, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 1726, 2490, 627, 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...
Name the start of an event in Catagory 2 of the year 1947.
SELECT start FROM table_name_40 WHERE category = "2" AND year = 1947
CREATE TABLE table_name_40 (start VARCHAR, category VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 10208, 584, 4280, 28027, 6, 3295, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 456, 13, 46, 605, 16, 3431, 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, 456, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 3295, 3274, 96, 357, 121, 3430, 215, 3274, 23992, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the nationality of the ship when the principle victims are civilians?
SELECT nat FROM table_name_49 WHERE principal_victims = "civilians"
CREATE TABLE table_name_49 (nat VARCHAR, principal_victims VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 29, 144, 584, 4280, 28027, 6, 3218, 834, 7287, 2998, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1157, 485, 13, 8, 4383, 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, 29, 144, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 3218, 834, 7287, 2998, 7, 3274, 96, 27981, 173, 7137, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the name of the battleship with the battle listed on May 13, 1915?
SELECT name FROM table_name_23 WHERE ship_type = "battleship" AND date = "may 13, 1915"
CREATE TABLE table_name_23 (name VARCHAR, ship_type VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 4350, 584, 4280, 28027, 6, 4383, 834, 6137, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 564, 13, 8, 3392...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 564, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 4383, 834, 6137, 3274, 96, 115, 9, 8692, 2009, 121, 3430, 833, 3274, 96, 13726, 10670, 957, 1808, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In what year 2000 tournment did Angeles Montolio have a career win-loss record of 2-4?
SELECT tournament FROM table_name_74 WHERE 2000 = "2-4"
CREATE TABLE table_name_74 (tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 17, 1211, 20205, 17, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 125, 215, 2766, 1552, 29, 297, 410, 4975, 5788, 4172, 32, 43, 3, 9, 1415,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5892, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 2766, 3274, 96, 21432, 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 career win-loss record has a 1r in 2002, a 2r in 2000 and a 2r in 2001?
SELECT career_win_loss FROM table_name_75 WHERE 2002 = "1r" AND 2000 = "2r" AND 2001 = "2r"
CREATE TABLE table_name_75 (career_win_loss VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 2864, 49, 834, 3757, 834, 2298, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1415, 1369, 18, 2298, 7, 1368, 65, 3, 9, 209, 52, 16, 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, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 1415, 834, 3757, 834, 2298, 7, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 4407, 3274, 96, 536, 52, 121, 3430, 2766, 3274, 96, 357, 52, 121, 3430, 4402, 3274, 96, 357, 52, 121, 1, -100, -100, -100, -100, -1...
What is the title of the single with the peak position of 10 and weeks on chart is less than 19?
SELECT title FROM table_name_7 WHERE peak_position = 10 AND weeks_on_chart < 19
CREATE TABLE table_name_7 (title VARCHAR, peak_position VARCHAR, weeks_on_chart VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 21869, 584, 4280, 28027, 6, 6734, 834, 4718, 584, 4280, 28027, 6, 1274, 834, 106, 834, 4059, 17, 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, 2233, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 6734, 834, 4718, 3274, 335, 3430, 1274, 834, 106, 834, 4059, 17, 3, 2, 957, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what is the weeks on chart for the single from france?
SELECT weeks_on_chart FROM table_name_92 WHERE country = "france"
CREATE TABLE table_name_92 (weeks_on_chart VARCHAR, country VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 8041, 7, 834, 106, 834, 4059, 17, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 1274, 30, 5059, 21, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1274, 834, 106, 834, 4059, 17, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 684, 3274, 96, 89, 5219, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the country with the album best of and weeks on chart is less than 5?
SELECT country FROM table_name_53 WHERE album = "best of" AND weeks_on_chart < 5
CREATE TABLE table_name_53 (country VARCHAR, album VARCHAR, weeks_on_chart VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 17529, 584, 4280, 28027, 6, 2306, 584, 4280, 28027, 6, 1274, 834, 106, 834, 4059, 17, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 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, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 2306, 3274, 96, 9606, 13, 121, 3430, 1274, 834, 106, 834, 4059, 17, 3, 2, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the title of the single with the peak position of 10 and from France?
SELECT title FROM table_name_21 WHERE peak_position = 10 AND country = "france"
CREATE TABLE table_name_21 (title VARCHAR, peak_position VARCHAR, country VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 21869, 584, 4280, 28027, 6, 6734, 834, 4718, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2233, 13, 8, 71...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2233, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 6734, 834, 4718, 3274, 335, 3430, 684, 3274, 96, 89, 5219, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what is the most weeks on chart when the peak position is less than 5 and from Sweden?
SELECT MAX(weeks_on_chart) FROM table_name_49 WHERE peak_position < 5 AND country = "sweden"
CREATE TABLE table_name_49 (weeks_on_chart INTEGER, peak_position VARCHAR, country VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 8041, 7, 834, 106, 834, 4059, 17, 3, 21342, 17966, 6, 6734, 834, 4718, 584, 4280, 28027, 6, 684, 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, 0...
[ 3, 23143, 14196, 4800, 4, 599, 8041, 7, 834, 106, 834, 4059, 17, 61, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 6734, 834, 4718, 3, 2, 305, 3430, 684, 3274, 96, 7, 1123, 537, 121, 1, -100, -100, -100, -100, -100, -100, -...
Name the total number of golds when total is 1 and silver is 1
SELECT COUNT(gold) FROM table_name_50 WHERE total = 1 AND silver = 1
CREATE TABLE table_name_50 (gold VARCHAR, total VARCHAR, silver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 14910, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381, 13, 2045, 7, 116, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 14910, 61, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 792, 3274, 209, 3430, 4294, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the total number of ranks when total is less than 1
SELECT COUNT(rank) FROM table_name_76 WHERE total < 1
CREATE TABLE table_name_76 (rank VARCHAR, total INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 6254, 584, 4280, 28027, 6, 792, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381, 13, 13799, 116, 792, 19, 705, 145, 209, 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, 2847, 17161, 599, 6254, 61, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 792, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Harry l Stephen rides a Norton machine on what date?
SELECT date FROM table_name_56 WHERE machine = "norton" AND rider = "harry l stephen"
CREATE TABLE table_name_56 (date VARCHAR, machine VARCHAR, rider VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 5522, 584, 4280, 28027, 6, 1437, 584, 4280, 28027, 6, 2564, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8929, 3, 40, 7872, 14432, 3, 9, 28...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 1437, 3274, 96, 29, 32, 17330, 121, 3430, 2564, 52, 3274, 96, 3272, 651, 3, 40, 1147, 3225, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What machine did Keith T. Gawler ride?
SELECT machine FROM table_name_76 WHERE rider = "keith t. gawler"
CREATE TABLE table_name_76 (machine VARCHAR, rider VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 8276, 630, 584, 4280, 28027, 6, 2564, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1437, 410, 17017, 332, 5, 2776, 210, 1171, 2564, 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, 1437, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 2564, 52, 3274, 96, 5754, 107, 3, 17, 5, 7922, 210, 1171, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Where was the 249cc Yamaha?
SELECT place FROM table_name_3 WHERE machine = "249cc yamaha"
CREATE TABLE table_name_3 (place VARCHAR, machine VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 4687, 584, 4280, 28027, 6, 1437, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 47, 8, 204, 3647, 75, 75, 26369, 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, 286, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 1437, 3274, 96, 357, 3647, 75, 75, 3, 22990, 1024, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What machine did Kenneth E. Herbert ride?
SELECT machine FROM table_name_2 WHERE rider = "kenneth e. herbert"
CREATE TABLE table_name_2 (machine VARCHAR, rider VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 8276, 630, 584, 4280, 28027, 6, 2564, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1437, 410, 16267, 189, 262, 5, 26692, 2564, 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, 1437, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 2564, 52, 3274, 96, 9376, 15, 189, 3, 15, 5, 160, 7041, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What event was Rob Vine riding?
SELECT event FROM table_name_56 WHERE rider = "rob vine"
CREATE TABLE table_name_56 (event VARCHAR, rider VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 15, 2169, 584, 4280, 28027, 6, 2564, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 605, 47, 5376, 8653, 15, 7494, 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, 605, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 2564, 52, 3274, 96, 5840, 6829, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How long is the XXX track used by the Minnesota Vikings?
SELECT time FROM table_name_14 WHERE team_s_ = "minnesota vikings" AND artist_s_ = "xxx"
CREATE TABLE table_name_14 (time VARCHAR, team_s_ VARCHAR, artist_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 715, 584, 4280, 28027, 6, 372, 834, 7, 834, 584, 4280, 28027, 6, 2377, 834, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 307, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 97, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 372, 834, 7, 834, 3274, 96, 1109, 1496, 32, 17, 9, 3, 21346, 53, 7, 121, 3430, 2377, 834, 7, 834, 3274, 96, 226, 19230, 121, 1, -100, -100, -100, -100, -100...
What teams used a track 3:29 long?
SELECT team_s_ FROM table_name_51 WHERE time = "3:29"
CREATE TABLE table_name_51 (team_s_ VARCHAR, time VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 11650, 834, 7, 834, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2323, 261, 3, 9, 1463, 220, 10, 3166, 307, 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, 372, 834, 7, 834, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 97, 3274, 96, 519, 10, 3166, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who is the artist of the Seattle Seahawks track?
SELECT artist_s_ FROM table_name_39 WHERE team_s_ = "seattle seahawks"
CREATE TABLE table_name_39 (artist_s_ VARCHAR, team_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 1408, 343, 834, 7, 834, 584, 4280, 28027, 6, 372, 834, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 2377, 13, 8, 8854, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2377, 834, 7, 834, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 372, 834, 7, 834, 3274, 96, 7, 15, 9, 8692, 2805, 14400, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Location of ebbets field, and a Time of 2:56, and a Game larger than 6 has what sum of attendance?
SELECT SUM(attendance) FROM table_name_49 WHERE location = "ebbets field" AND time = "2:56" AND game > 6
CREATE TABLE table_name_49 (attendance INTEGER, game VARCHAR, location VARCHAR, time VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 15116, 663, 3, 21342, 17966, 6, 467, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 10450, 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, 180, 6122, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 1128, 3274, 96, 15, 115, 346, 17, 7, 1057, 121, 3430, 97, 3274, 96, 357, 10, 4834, 121, 3430, 467, 2490, 431, 1, -100, -100, -100,...
The game of 6 has what lowest attendance?
SELECT MIN(attendance) FROM table_name_47 WHERE game = 6
CREATE TABLE table_name_47 (attendance INTEGER, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 15116, 663, 3, 21342, 17966, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 37, 467, 13, 431, 65, 125, 7402, 11364, 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, 3, 17684, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 467, 3274, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Date of October 1 has what average game?
SELECT AVG(game) FROM table_name_47 WHERE date = "october 1"
CREATE TABLE table_name_47 (game INTEGER, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 7261, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 7678, 13, 1797, 209, 65, 125, 1348, 467, 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, 71, 17217, 599, 7261, 61, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 833, 3274, 96, 32, 75, 235, 1152, 209, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
yankee stadium (i), and a Time of 3:00 has what attendance for this location?
SELECT attendance FROM table_name_56 WHERE location = "yankee stadium (i)" AND time = "3:00"
CREATE TABLE table_name_56 (attendance VARCHAR, location VARCHAR, time VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 15116, 663, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3, 63, 5979, 15, 15, 14939, 41, 23...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 11364, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 1128, 3274, 96, 63, 5979, 15, 15, 14939, 41, 23, 61, 121, 3430, 97, 3274, 96, 519, 10, 1206, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
College of lsu has how many rounds?
SELECT COUNT(round) FROM table_name_52 WHERE college = "lsu"
CREATE TABLE table_name_52 (round VARCHAR, college VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 7775, 584, 4280, 28027, 6, 1900, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1888, 13, 3, 40, 7, 76, 65, 149, 186, 14419, 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, 2847, 17161, 599, 7775, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 1900, 3274, 96, 40, 7, 76, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Pick # of 25, and an Overall of 207 has what name?
SELECT name FROM table_name_61 WHERE pick__number = 25 AND overall = 207
CREATE TABLE table_name_61 (name VARCHAR, pick__number VARCHAR, overall VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 4350, 584, 4280, 28027, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 1879, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8356, 1713, 13, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 564, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 1432, 834, 834, 5525, 1152, 3274, 944, 3430, 1879, 3274, 3, 26426, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Round smaller than 7, and an Overall of 129 is what college?
SELECT college FROM table_name_67 WHERE round < 7 AND overall = 129
CREATE TABLE table_name_67 (college VARCHAR, round VARCHAR, overall VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 3297, 7883, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 6, 1879, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 9609, 2755, 145, 7973, 11, 46, 912...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1900, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 1751, 3, 2, 489, 3430, 1879, 3274, 3, 22174, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Round larger than 6, and a Pick # smaller than 25, and a College of southern Illinois has what position?
SELECT position FROM table_name_48 WHERE round > 6 AND pick__number < 25 AND college = "southern illinois"
CREATE TABLE table_name_48 (position VARCHAR, college VARCHAR, round VARCHAR, pick__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 4718, 584, 4280, 28027, 6, 1900, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1102, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 1751, 2490, 431, 3430, 1432, 834, 834, 5525, 1152, 3, 2, 944, 3430, 1900, 3274, 96, 7, 670, 760, 29, 3, 1092, 77, 32, 159, 121, 1, -100, -100, -100, -100, ...
Which US release has 704 pages?
SELECT us_release FROM table_name_79 WHERE pages = "704"
CREATE TABLE table_name_79 (us_release VARCHAR, pages VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 302, 834, 21019, 584, 4280, 28027, 6, 1688, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 837, 1576, 65, 2861, 591, 1688, 58, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 178, 834, 21019, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 1688, 3274, 96, 2518, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which audio has a Title of a storm of swords?
SELECT audio FROM table_name_21 WHERE title = "a storm of swords"
CREATE TABLE table_name_21 (audio VARCHAR, title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 28696, 584, 4280, 28027, 6, 2233, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2931, 65, 3, 9, 11029, 13, 3, 9, 5536, 13, 16600, 7, 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, 2931, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 2233, 3274, 96, 9, 5536, 13, 16600, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which title has a US release of august 1996?
SELECT title FROM table_name_56 WHERE us_release = "august 1996"
CREATE TABLE table_name_56 (title VARCHAR, us_release VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 21869, 584, 4280, 28027, 6, 178, 834, 21019, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2233, 65, 3, 9, 837, 1576, 13, 14663, 6911, 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, 2233, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 178, 834, 21019, 3274, 96, 402, 17198, 6911, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many pages does a dream of spring have?
SELECT pages FROM table_name_3 WHERE title = "a dream of spring"
CREATE TABLE table_name_3 (pages VARCHAR, title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 6492, 7, 584, 4280, 28027, 6, 2233, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1688, 405, 3, 9, 2461, 13, 2141, 43, 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, 1688, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 2233, 3274, 96, 9, 2461, 13, 2141, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the result for kingdome game site and opponent of denver broncos
SELECT result FROM table_name_75 WHERE game_site = "kingdome" AND opponent = "denver broncos"
CREATE TABLE table_name_75 (result VARCHAR, game_site VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 467, 834, 3585, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 741, 21, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 467, 834, 3585, 3274, 96, 1765, 5012, 15, 121, 3430, 15264, 3274, 96, 537, 624, 3, 13711, 509, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which College/junior/club team has a Pick # of 1?
SELECT college_junior_club_team FROM table_name_27 WHERE pick__number = "1"
CREATE TABLE table_name_27 (college_junior_club_team VARCHAR, pick__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 3297, 7883, 834, 6959, 23, 127, 834, 13442, 834, 11650, 584, 4280, 28027, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 1432, 834, 834, 5525, 1152, 3274, 96, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Pick # has an NHL team of detroit red wings?
SELECT pick__number FROM table_name_69 WHERE nhl_team = "detroit red wings"
CREATE TABLE table_name_69 (pick__number VARCHAR, nhl_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 17967, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 3, 29, 107, 40, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 8356, 1713, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1432, 834, 834, 5525, 1152, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 3, 29, 107, 40, 834, 11650, 3274, 96, 26, 15252, 155, 1131, 13943, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which player has a Position of defence, and a Pick # of 6?
SELECT player FROM table_name_42 WHERE position = "defence" AND pick__number = "6"
CREATE TABLE table_name_42 (player VARCHAR, position VARCHAR, pick__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4165, 41, 20846, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1959, 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, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 4165, 549, 17444, 427, 1102, 3274, 96, 221, 89, 1433, 121, 3430, 1432, 834, 834, 5525, 1152, 3274, 96, 948, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which NHL team has a Player of steve durbano?
SELECT nhl_team FROM table_name_97 WHERE player = "steve durbano"
CREATE TABLE table_name_97 (nhl_team VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 29, 107, 40, 834, 11650, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 22313, 372, 65, 3, 9, 12387, 13, 3, 849,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 29, 107, 40, 834, 11650, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 1959, 3274, 96, 849, 162, 3, 26, 19413, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the largest money for a t4 place, for Tiger Woods?
SELECT MAX(money___) AS $__ FROM table_name_64 WHERE place = "t4" AND player = "tiger woods"
CREATE TABLE table_name_64 (money___ INTEGER, place VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 28442, 834, 834, 834, 3, 21342, 17966, 6, 286, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2015, 540, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 28442, 834, 834, 834, 61, 6157, 1514, 834, 834, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 286, 3274, 96, 17, 20364, 3430, 1959, 3274, 96, 17, 4424, 1679, 7, 121, 1, -100, -100, -100, -100, -...
How many goals against have 58 points?
SELECT goals_against FROM table_name_82 WHERE points = 58
CREATE TABLE table_name_82 (goals_against VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 839, 5405, 834, 9, 16720, 7, 17, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1766, 581, 43, 3, 3449, 979, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1766, 834, 9, 16720, 7, 17, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 979, 3274, 3, 3449, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For majors with 8 events played and more than 1 made cut, what is the most top-10s recorded?
SELECT MAX(top_10) FROM table_name_9 WHERE cuts_made > 1 AND events = 8
CREATE TABLE table_name_9 (top_10 INTEGER, cuts_made VARCHAR, events VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 2916, 834, 1714, 3, 21342, 17966, 6, 8620, 834, 4725, 584, 4280, 28027, 6, 984, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 242, 779, 7, 28, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 2916, 834, 16968, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 8620, 834, 4725, 2490, 209, 3430, 984, 3274, 505, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
For more than 3 events in the PGA Championship, what is the fewest number of wins?
SELECT MIN(wins) FROM table_name_33 WHERE tournament = "pga championship" AND events > 3
CREATE TABLE table_name_33 (wins INTEGER, tournament VARCHAR, events VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 3757, 7, 3, 21342, 17966, 6, 5892, 584, 4280, 28027, 6, 984, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 242, 72, 145, 220, 984, 16, 8, 3, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 5892, 3274, 96, 102, 122, 9, 10183, 121, 3430, 984, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
For events with under 3 times played and fewer than 1 cut made, what is the total number of top-10 finishes?
SELECT COUNT(top_10) FROM table_name_24 WHERE events < 3 AND cuts_made < 1
CREATE TABLE table_name_24 (top_10 VARCHAR, events VARCHAR, cuts_made VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 2916, 834, 1714, 584, 4280, 28027, 6, 984, 584, 4280, 28027, 6, 8620, 834, 4725, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 242, 984, 28, 365, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2916, 834, 16968, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 984, 3, 2, 220, 3430, 8620, 834, 4725, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
For events with values of exactly 1, and 0 cuts made, what is the fewest number of top-10s?
SELECT MIN(top_10) FROM table_name_79 WHERE events = 1 AND cuts_made > 0
CREATE TABLE table_name_79 (top_10 INTEGER, events VARCHAR, cuts_made VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 2916, 834, 1714, 3, 21342, 17966, 6, 984, 584, 4280, 28027, 6, 8620, 834, 4725, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 242, 984, 28, 2620, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 2916, 834, 16968, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 984, 3274, 209, 3430, 8620, 834, 4725, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the tyres with a year earlier than 1961 for a climax l4 engine?
SELECT tyres FROM table_name_33 WHERE year < 1961 AND engine = "climax l4"
CREATE TABLE table_name_33 (tyres VARCHAR, year VARCHAR, engine VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 17, 63, 60, 7, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 1948, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 17, 63, 60, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 215, 3, 2, 21018, 3430, 1948, 3274, 96, 14758, 9128, 3, 40, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What company built the chassis for a year later than 1959 and a climax l4 engine?
SELECT chassis FROM table_name_69 WHERE year > 1959 AND engine = "climax l4"
CREATE TABLE table_name_69 (chassis VARCHAR, year VARCHAR, engine VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 524, 6500, 7, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 1948, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 349, 1192, 8, 22836, 21, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 22836, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 215, 2490, 22471, 3430, 1948, 3274, 96, 14758, 9128, 3, 40, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What engine was in the year of 1961?
SELECT engine FROM table_name_85 WHERE year = 1961
CREATE TABLE table_name_85 (engine VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 20165, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1948, 47, 16, 8, 215, 13, 21018, 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, 1948, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 215, 3274, 21018, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What engine was for the vehicle with a cooper t43 chassis?
SELECT engine FROM table_name_19 WHERE chassis = "cooper t43"
CREATE TABLE table_name_19 (engine VARCHAR, chassis VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 20165, 584, 4280, 28027, 6, 22836, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1948, 47, 21, 8, 1689, 28, 3, 9, 22996, 3, 17, 4906, 22836...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1948, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 22836, 3274, 96, 25911, 49, 3, 17, 4906, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the engine for a vehicle in 1960?
SELECT engine FROM table_name_59 WHERE year = 1960
CREATE TABLE table_name_59 (engine VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 20165, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1948, 21, 3, 9, 1689, 16, 8754, 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, 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, 1948, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 215, 3274, 8754, 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...
What is the tyres for the JBW type 2 chassis?
SELECT tyres FROM table_name_70 WHERE chassis = "jbw type 2"
CREATE TABLE table_name_70 (tyres VARCHAR, chassis VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 17, 63, 60, 7, 584, 4280, 28027, 6, 22836, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 17, 63, 60, 7, 21, 8, 446, 279, 518,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17, 63, 60, 7, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 22836, 3274, 96, 354, 115, 210, 686, 204, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the location of the game that has a number smaller than 2?
SELECT location FROM table_name_68 WHERE game < 2
CREATE TABLE table_name_68 (location VARCHAR, game INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 14836, 584, 4280, 28027, 6, 467, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1128, 13, 8, 467, 24, 65, 3, 9, 381, 2755, 145, 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, 1, 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, 3651, 549, 17444, 427, 467, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What film did ian mackinnon direct that was in the short film 2007 prix uip category?
SELECT film FROM table_name_55 WHERE category = "short film 2007 prix uip" AND director_s_ = "ian mackinnon"
CREATE TABLE table_name_55 (film VARCHAR, category VARCHAR, director_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 9988, 584, 4280, 28027, 6, 3295, 584, 4280, 28027, 6, 2090, 834, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 814, 410, 3, 23, 152...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 814, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 3295, 3274, 96, 7, 14184, 814, 4101, 3407, 3, 76, 23, 102, 121, 3430, 2090, 834, 7, 834, 3274, 96, 23, 152, 3, 20072, 77, 29, 106, 121, 1, -100, -100, -100...
What film was filmed in Spain?
SELECT film FROM table_name_49 WHERE country = "spain"
CREATE TABLE table_name_49 (film VARCHAR, country VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 9988, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 814, 47, 3, 25403, 16, 6436, 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, 814, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 684, 3274, 96, 14147, 77, 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 Director of 2007?
SELECT country FROM table_name_43 WHERE director_s_ = "2007"
CREATE TABLE table_name_43 (country VARCHAR, director_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 17529, 584, 4280, 28027, 6, 2090, 834, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 6993, 65, 3, 9, 2578, 13, 4101, 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, 684, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 2090, 834, 7, 834, 3274, 96, 20615, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What film did abdelatif hwidar direct that was in the short film 2007 prix uip category?
SELECT film FROM table_name_93 WHERE category = "short film 2007 prix uip" AND director_s_ = "abdelatif hwidar"
CREATE TABLE table_name_93 (film VARCHAR, category VARCHAR, director_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 9988, 584, 4280, 28027, 6, 3295, 584, 4280, 28027, 6, 2090, 834, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 814, 410, 703, 221, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 814, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 3295, 3274, 96, 7, 14184, 814, 4101, 3407, 3, 76, 23, 102, 121, 3430, 2090, 834, 7, 834, 3274, 96, 9, 115, 221, 19761, 89, 3, 107, 12018, 291, 121, 1, -100...
What Nominating festival was party of the adjustment film?
SELECT nominating_festival FROM table_name_69 WHERE film = "adjustment"
CREATE TABLE table_name_69 (nominating_festival VARCHAR, film VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 3114, 77, 1014, 834, 89, 24742, 584, 4280, 28027, 6, 814, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 465, 1109, 1014, 3994, 47, 1088, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 150, 1109, 1014, 834, 89, 24742, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 814, 3274, 96, 9, 26, 4998, 297, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What country was the prix uip ghent nominating festival?
SELECT country FROM table_name_49 WHERE nominating_festival = "prix uip ghent"
CREATE TABLE table_name_49 (country VARCHAR, nominating_festival VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 17529, 584, 4280, 28027, 6, 150, 1109, 1014, 834, 89, 24742, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 684, 47, 8, 3407, 3, 76, 23, 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, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 150, 1109, 1014, 834, 89, 24742, 3274, 96, 2246, 226, 3, 76, 23, 102, 3, 122, 107, 295, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the record of the game that had a loss of Stottlemyre (10-12)?
SELECT record FROM table_name_33 WHERE loss = "stottlemyre (10-12)"
CREATE TABLE table_name_33 (record VARCHAR, loss VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 60, 7621, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1368, 13, 8, 467, 24, 141, 3, 9, 1453, 13, 8272...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1368, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 1453, 3274, 96, 7, 235, 8692, 2258, 60, 11704, 5947, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...