Datasets:
AayushShah
/
Univeral_SQL_Three_Datasets_Combined_WithText_IDs

Dataset card Data Studio Files
xet
 Community
1
NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
What is the low lap total for henri pescarolo with a grad larger than 6?
SELECT MIN(laps) FROM table_name_20 WHERE grid > 6 AND driver = "henri pescarolo"
CREATE TABLE table_name_20 (laps INTEGER, grid VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 8478, 7, 3, 21342, 17966, 6, 8634, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 731, 14941, 792, 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, 1, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 8478, 7, 61, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 8634, 2490, 431, 3430, 2535, 3274, 96, 3225, 52, 23, 158, 7, 658, 3491, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the low lap total for a grid larger than 16 and has a Time/Retired of + 3:27.3?
SELECT MIN(laps) FROM table_name_60 WHERE time_retired = "+ 3:27.3" AND grid > 16
CREATE TABLE table_name_60 (laps INTEGER, time_retired VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 8478, 7, 3, 21342, 17966, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 731, 149...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8478, 7, 61, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 97, 834, 10682, 1271, 3274, 96, 1220, 220, 10, 357, 27914, 121, 3430, 8634, 2490, 898, 1, -100, -100, -100, -100, -100, -100, -100, -100...
Name what was published in july 1934 with a setting of mars
SELECT published_in FROM table_name_22 WHERE setting = "mars" AND publication_date = "july 1934"
CREATE TABLE table_name_22 (published_in VARCHAR, setting VARCHAR, publication_date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 23841, 834, 77, 584, 4280, 28027, 6, 1898, 584, 4280, 28027, 6, 5707, 834, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 125, 47, 1790...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1790, 834, 77, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 1898, 3274, 96, 1635, 7, 121, 3430, 5707, 834, 5522, 3274, 96, 2047, 120, 28828, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the publication date when the fictional date is 2112
SELECT publication_date FROM table_name_25 WHERE fictional_date = "2112"
CREATE TABLE table_name_25 (publication_date VARCHAR, fictional_date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 15727, 257, 834, 5522, 584, 4280, 28027, 6, 24460, 834, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 5707, 833, 116, 8, 24460, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5707, 834, 5522, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 24460, 834, 5522, 3274, 96, 2658, 2122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the title when the main characters are grant calthorpe, lee neilan and the published in of astounding stories
SELECT title FROM table_name_84 WHERE published_in = "astounding stories" AND main_characters = "grant calthorpe, lee neilan"
CREATE TABLE table_name_84 (title VARCHAR, published_in VARCHAR, main_characters VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 21869, 584, 4280, 28027, 6, 1790, 834, 77, 584, 4280, 28027, 6, 711, 834, 31886, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 2233, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4608, 549, 17444, 427, 1790, 834, 77, 3274, 96, 9, 7, 235, 1106, 53, 1937, 121, 3430, 711, 834, 31886, 7, 3274, 96, 7662, 17, 3, 1489, 189, 127, 855, 6, 90, 15, 3, 29, 15, 173...
What club has over 1 runners-up and last won the final in 2010?
SELECT club FROM table_name_28 WHERE runners_up > 1 AND last_final_won = "2010"
CREATE TABLE table_name_28 (club VARCHAR, runners_up VARCHAR, last_final_won VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 13442, 584, 4280, 28027, 6, 16448, 834, 413, 584, 4280, 28027, 6, 336, 834, 12406, 834, 210, 106, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 36...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1886, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 16448, 834, 413, 2490, 209, 3430, 336, 834, 12406, 834, 210, 106, 3274, 96, 14926, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How manywins for dunfermline athletic that has a total final appearances less than 2?
SELECT wins FROM table_name_54 WHERE total_final_appearances < 2 AND club = "dunfermline athletic"
CREATE TABLE table_name_54 (wins VARCHAR, total_final_appearances VARCHAR, club VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 3757, 7, 584, 4280, 28027, 6, 792, 834, 12406, 834, 3096, 2741, 663, 7, 584, 4280, 28027, 6, 1886, 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, 9204, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 792, 834, 12406, 834, 3096, 2741, 663, 7, 3, 2, 204, 3430, 1886, 3274, 96, 26, 202, 1010, 51, 747, 12217, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
What was the crowd size of the match featuring Hawthorn as the Away team?
SELECT crowd FROM table_name_84 WHERE away_team = "hawthorn"
CREATE TABLE table_name_84 (crowd VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 75, 3623, 26, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 4374, 812, 13, 8, 1588, 4767, 1626...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4374, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 550, 834, 11650, 3274, 96, 1024, 210, 17, 6293, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What score did the home team of north melbourne get?
SELECT home_team AS score FROM table_name_59 WHERE home_team = "north melbourne"
CREATE TABLE table_name_59 (home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 5515, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2604, 410, 8, 234, 372, 13, 3457, 3, 2341, 26255, 129, 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, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 234, 834, 11650, 3274, 96, 29, 127, 189, 3, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which home team played the away team of collingwood?
SELECT home_team FROM table_name_14 WHERE away_team = "collingwood"
CREATE TABLE table_name_14 (home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 234, 372, 1944, 8, 550, 372, 13, 8029,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 550, 834, 11650, 3274, 96, 3297, 697, 2037, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What method had Adriano Martins as an opponent and a time of 5:00?
SELECT method FROM table_name_36 WHERE time = "5:00" AND opponent = "adriano martins"
CREATE TABLE table_name_36 (method VARCHAR, time VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 23152, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1573, 141, 12399, 32, 3394, 7, 38, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1573, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 97, 3274, 96, 19870, 121, 3430, 15264, 3274, 96, 9, 26, 5288, 32, 3157, 17, 77, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total number of rounds when Drew Fickett was the opponent and the time is 5:00?
SELECT COUNT(round) FROM table_name_10 WHERE time = "5:00" AND opponent = "drew fickett"
CREATE TABLE table_name_10 (round VARCHAR, time VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 7775, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, 381, 13, 14419, 116, 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, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 7775, 61, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 97, 3274, 96, 19870, 121, 3430, 15264, 3274, 96, 26, 60, 210, 3, 4638, 12922, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What competition is located in bamako?
SELECT competition FROM table_name_68 WHERE location = "bamako"
CREATE TABLE table_name_68 (competition VARCHAR, location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 287, 4995, 4749, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2259, 19, 1069, 16, 4698, 51, 1639, 32, 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, 2259, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 1128, 3274, 96, 115, 265, 1639, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the score from the game where Algeria is the opponent at Porto-Novo?
SELECT score FROM table_name_28 WHERE opponent = "algeria" AND location = "porto-novo"
CREATE TABLE table_name_28 (score VARCHAR, opponent VARCHAR, location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 7, 9022, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 45, 8, 467, 213,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 15264, 3274, 96, 138, 122, 4476, 121, 3430, 1128, 3274, 96, 1493, 32, 18, 5326, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the mean road number when Moe Lemay is the player?
SELECT AVG(rd__number) FROM table_name_64 WHERE player = "moe lemay"
CREATE TABLE table_name_64 (rd__number INTEGER, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 52, 26, 834, 834, 5525, 1152, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1243, 1373, 381, 116, 1290, 15...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 52, 26, 834, 834, 5525, 1152, 61, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 1959, 3274, 96, 51, 32, 15, 90, 13726, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the sum number of Pl GP when the pick number is 178 and the road number is bigger than 9?
SELECT COUNT(pl_gp) FROM table_name_13 WHERE pick__number = 178 AND rd__number > 9
CREATE TABLE table_name_13 (pl_gp VARCHAR, pick__number VARCHAR, rd__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 102, 40, 834, 122, 102, 584, 4280, 28027, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 3, 52, 26, 834, 834, 5525, 1152, 584, 4280, 28027, 61, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 102, 40, 834, 122, 102, 61, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 1432, 834, 834, 5525, 1152, 3274, 3, 27640, 3430, 3, 52, 26, 834, 834, 5525, 1152, 2490, 668, 1, -100, -100, -100, -...
What is the total number of Pl GP when the pick number is 199 and the Reg GP is bigger than 0?
SELECT SUM(pl_gp) FROM table_name_90 WHERE pick__number = 199 AND reg_gp > 0
CREATE TABLE table_name_90 (pl_gp INTEGER, pick__number VARCHAR, reg_gp VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 102, 40, 834, 122, 102, 3, 21342, 17966, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 5925, 834, 122, 102, 584, 4280, 28027, 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, 180, 6122, 599, 102, 40, 834, 122, 102, 61, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 1432, 834, 834, 5525, 1152, 3274, 3, 19479, 3430, 5925, 834, 122, 102, 2490, 3, 632, 1, -100, -100, -100, -100, -100, ...
What position did the player from East Texas State play?
SELECT position FROM table_name_33 WHERE school = "east texas state"
CREATE TABLE table_name_33 (position VARCHAR, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 4718, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1102, 410, 8, 1959, 45, 1932, 2514, 1015, 577, 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, 1102, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 496, 3274, 96, 11535, 3, 10354, 9, 7, 538, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What day did they play before week 2?
SELECT date FROM table_name_71 WHERE week < 2
CREATE TABLE table_name_71 (date VARCHAR, week INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 5522, 584, 4280, 28027, 6, 471, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 239, 410, 79, 577, 274, 471, 204, 58, 1, 0, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 471, 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, -100...
What is the cons for lib dem of 8% and a lead of 27%
SELECT cons FROM table_name_19 WHERE lib_dem = "8%" AND lead = "27%"
CREATE TABLE table_name_19 (cons VARCHAR, lib_dem VARCHAR, lead VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 8056, 584, 4280, 28027, 6, 3, 6856, 834, 1778, 584, 4280, 28027, 6, 991, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 6900, 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, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6900, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 3, 6856, 834, 1778, 3274, 96, 5953, 121, 3430, 991, 3274, 96, 357, 6170, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
I want the lead for others being 5%
SELECT lead FROM table_name_58 WHERE others = "5%"
CREATE TABLE table_name_58 (lead VARCHAR, others VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 109, 9, 26, 584, 4280, 28027, 6, 717, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 27, 241, 8, 991, 21, 717, 271, 3, 2712, 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, 991, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 717, 3274, 96, 2712, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
I want the plaid cymru for 4 may 2011
SELECT plaid_cymru FROM table_name_9 WHERE date_s__conducted = "4 may 2011"
CREATE TABLE table_name_9 (plaid_cymru VARCHAR, date_s__conducted VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 6042, 23, 26, 834, 75, 63, 51, 52, 76, 584, 4280, 28027, 6, 833, 834, 7, 834, 834, 1018, 21336, 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, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 30772, 834, 75, 63, 51, 52, 76, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 833, 834, 7, 834, 834, 1018, 21336, 3274, 96, 591, 164, 2722, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
I want the plaid cymru for Polling organisation/client of yougov/itv wales for 4 may 2011
SELECT plaid_cymru FROM table_name_77 WHERE polling_organisation_client = "yougov/itv wales" AND date_s__conducted = "4 may 2011"
CREATE TABLE table_name_77 (plaid_cymru VARCHAR, polling_organisation_client VARCHAR, date_s__conducted VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 6042, 23, 26, 834, 75, 63, 51, 52, 76, 584, 4280, 28027, 6, 5492, 53, 834, 10832, 834, 26693, 584, 4280, 28027, 6, 833, 834, 7, 834, 834, 1018, 21336...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 30772, 834, 75, 63, 51, 52, 76, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 5492, 53, 834, 10832, 834, 26693, 3274, 96, 4188, 9527, 87, 155, 208, 3, 210, 4529, 121, 3430, 833, 834, 7, 834, 834, 1018, 21336,...
Name the others for cons of 21% and lead of 24%
SELECT others FROM table_name_60 WHERE cons = "21%" AND lead = "24%"
CREATE TABLE table_name_60 (others VARCHAR, cons VARCHAR, lead VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 9269, 7, 584, 4280, 28027, 6, 6900, 584, 4280, 28027, 6, 991, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 717, 21, 6900, 13, 204, 470...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 717, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 6900, 3274, 96, 357, 4704, 121, 3430, 991, 3274, 96, 357, 5988, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Tell me the dates conducted for plaid cymru of 19%
SELECT date_s__conducted FROM table_name_69 WHERE plaid_cymru = "19%"
CREATE TABLE table_name_69 (date_s__conducted VARCHAR, plaid_cymru VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 5522, 834, 7, 834, 834, 1018, 21336, 584, 4280, 28027, 6, 30772, 834, 75, 63, 51, 52, 76, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 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, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 834, 7, 834, 834, 1018, 21336, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 30772, 834, 75, 63, 51, 52, 76, 3274, 96, 2294, 1454, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score on 20/6/97?
SELECT score FROM table_name_9 WHERE date = "20/6/97"
CREATE TABLE table_name_9 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 30, 460, 18656, 87, 4327, 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, 2604, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 833, 3274, 96, 1755, 18656, 87, 4327, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score on 20/6/97?
SELECT score FROM table_name_83 WHERE date = "20/6/97"
CREATE TABLE table_name_83 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 30, 460, 18656, 87, 4327, 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, 2604, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 833, 3274, 96, 1755, 18656, 87, 4327, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What were the tries on 14/6/97?
SELECT tries FROM table_name_10 WHERE date = "14/6/97"
CREATE TABLE table_name_10 (tries VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 9000, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 130, 8, 3, 9000, 30, 968, 18656, 87, 4327, 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, 3, 9000, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 833, 3274, 96, 2534, 18656, 87, 4327, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What were the goals on 3/10/97?
SELECT goals FROM table_name_86 WHERE date = "3/10/97"
CREATE TABLE table_name_86 (goals VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 839, 5405, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 130, 8, 1766, 30, 220, 11476, 87, 4327, 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, 1766, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 833, 3274, 96, 519, 11476, 87, 4327, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Tell me the laps for 3 grids
SELECT laps FROM table_name_67 WHERE grid = 3
CREATE TABLE table_name_67 (laps VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 8478, 7, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 14941, 7, 21, 220, 8634, 7, 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, 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, 14941, 7, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 8634, 3274, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the Away team score for Footscray?
SELECT away_team AS score FROM table_name_44 WHERE away_team = "footscray"
CREATE TABLE table_name_44 (away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 8006, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 71, 1343, 372, 2604, 21, 15213, 7, 2935, 63, 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, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 550, 834, 11650, 3274, 96, 6259, 7, 2935, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the Home team score for the team that played South Melbourne?
SELECT home_team AS score FROM table_name_36 WHERE away_team = "south melbourne"
CREATE TABLE table_name_36 (home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1210, 372, 2604, 21, 8, 372, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 550, 834, 11650, 3274, 96, 7, 670, 107, 3, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Tell me the sum of interview for evening gown more than 8.37 and average of 8.363
SELECT SUM(interview) FROM table_name_57 WHERE average = 8.363 AND evening_gown > 8.37
CREATE TABLE table_name_57 (interview INTEGER, average VARCHAR, evening_gown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 3870, 4576, 3, 21342, 17966, 6, 1348, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 4505,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 3870, 4576, 61, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 1348, 3274, 4848, 3420, 519, 3430, 2272, 834, 122, 9197, 2490, 4848, 4118, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the total number of swimsuits for evening gowns less than 8.21 and average of 8.453 with interview less than 9.09
SELECT COUNT(swimsuit) FROM table_name_54 WHERE interview < 9.09 AND evening_gown < 8.21 AND average = 8.453
CREATE TABLE table_name_54 (swimsuit VARCHAR, average VARCHAR, interview VARCHAR, evening_gown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 7, 210, 603, 7628, 584, 4280, 28027, 6, 1348, 584, 4280, 28027, 6, 2772, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 61, 3, 32105, 321...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 7, 210, 603, 7628, 61, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 2772, 3, 2, 5835, 4198, 3430, 2272, 834, 122, 9197, 3, 2, 4848, 2658, 3430, 1348, 3274, 4848, 2128, 519, 1, -100, -100, -...
Name the state with an evening gown more than 8.86 and interview less than 8.7 and swimsuit less than 8.96
SELECT state FROM table_name_84 WHERE evening_gown > 8.86 AND swimsuit < 8.96 AND interview < 8.7
CREATE TABLE table_name_84 (state VARCHAR, interview VARCHAR, evening_gown VARCHAR, swimsuit VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 5540, 584, 4280, 28027, 6, 2772, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 6, 9728, 7628, 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, 538, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 2272, 834, 122, 9197, 2490, 4848, 3840, 3430, 9728, 7628, 3, 2, 4848, 4314, 3430, 2772, 3, 2, 4848, 940, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the total stellar mass of the type m0?
SELECT SUM(stellar_mass___m__) FROM table_name_57 WHERE type = "m0"
CREATE TABLE table_name_57 (stellar_mass___m__ INTEGER, type VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 7, 6714, 291, 834, 2754, 7, 834, 834, 834, 51, 834, 834, 3, 21342, 17966, 6, 686, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 79...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 7, 6714, 291, 834, 2754, 7, 834, 834, 834, 51, 834, 834, 61, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 686, 3274, 96, 51, 632, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the highest planetary mass having an RV (cm/s) of 65 and a Period (days) less than 21?
SELECT MAX(planetary_mass___m) AS ⊕__ FROM table_name_5 WHERE rv__cm_s_ = 65 AND period__days_ < 21
CREATE TABLE table_name_5 (planetary_mass___m INTEGER, rv__cm_s_ VARCHAR, period__days_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 30351, 834, 2754, 7, 834, 834, 834, 51, 3, 21342, 17966, 6, 3, 52, 208, 834, 834, 75, 51, 834, 7, 834, 584, 4280, 28027, 6, 1059, 834, 834, 1135, 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, 4800, 4, 599, 30351, 834, 2754, 7, 834, 834, 834, 51, 61, 6157, 3, 2, 834, 834, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 3, 52, 208, 834, 834, 75, 51, 834, 7, 834, 3274, 7123, 3430, 1059, 834, 834, 11...
What is the smallest period (days) to have a planetary mass of 1, a stellar mass greater than 0.21 and of the type M0?
SELECT MIN(period__days_) FROM table_name_1 WHERE planetary_mass___m⊕__ = 1 AND stellar_mass___m__ > 0.21 AND type = "m0"
CREATE TABLE table_name_1 (period__days_ INTEGER, type VARCHAR, planetary_mass___m⊕__ VARCHAR, stellar_mass___m__ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 4267, 32, 26, 834, 834, 1135, 7, 834, 3, 21342, 17966, 6, 686, 584, 4280, 28027, 6, 3, 30351, 834, 2754, 7, 834, 834, 834, 51, 2, 834, 834, 584, 428...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 4267, 32, 26, 834, 834, 1135, 7, 834, 61, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 3, 30351, 834, 2754, 7, 834, 834, 834, 51, 2, 834, 834, 3274, 209, 3430, 22716, 834, 2754, 7, 834, 834, ...
What is the average word count with crs and subframes lesser than 2?
SELECT AVG(word__number) FROM table_name_9 WHERE name = "crs" AND subframe__number < 2
CREATE TABLE table_name_9 (word__number INTEGER, name VARCHAR, subframe__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 6051, 834, 834, 5525, 1152, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 6, 769, 11415, 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, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 6051, 834, 834, 5525, 1152, 61, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 564, 3274, 96, 75, 52, 7, 121, 3430, 769, 11415, 834, 834, 5525, 1152, 3, 2, 204, 1, -100, -100, -100, -100, -100,...
What is the page count and word count greater than 5 with Bits of 18–22?
SELECT page__number FROM table_name_79 WHERE word__number > 5 AND bits = "18–22"
CREATE TABLE table_name_79 (page__number VARCHAR, word__number VARCHAR, bits VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 6492, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 1448, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 14120, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 543, 834, 834, 5525, 1152, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 1448, 834, 834, 5525, 1152, 2490, 305, 3430, 14120, 3274, 96, 2606, 104, 2884, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the total subframe count with Bits of 18–22?
SELECT SUM(subframe__number) FROM table_name_48 WHERE bits = "18–22"
CREATE TABLE table_name_48 (subframe__number INTEGER, bits VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 7304, 11415, 834, 834, 5525, 1152, 3, 21342, 17966, 6, 14120, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, 769, 11415, 3476, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 7304, 11415, 834, 834, 5525, 1152, 61, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 14120, 3274, 96, 2606, 104, 2884, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many attended tie number 19?
SELECT SUM(attendance) FROM table_name_76 WHERE tie_no = 19
CREATE TABLE table_name_76 (attendance INTEGER, tie_no VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 15116, 663, 3, 21342, 17966, 6, 6177, 834, 29, 32, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 5526, 6177, 381, 957, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 6177, 834, 29, 32, 3274, 957, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the away team in a tie no larger than 16 with forest green rovers at home?
SELECT away_team FROM table_name_95 WHERE tie_no > 16 AND home_team = "forest green rovers"
CREATE TABLE table_name_95 (away_team VARCHAR, tie_no VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 6177, 834, 29, 32, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 550, 834, 11650, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 6177, 834, 29, 32, 2490, 898, 3430, 234, 834, 11650, 3274, 96, 1161, 222, 1442, 3, 8843, 277, 121, 1, -100, -100, -100, -100, -100, -100, -100, -10...
What is the highest attendance for games with stevenage borough at home?
SELECT MAX(attendance) FROM table_name_9 WHERE home_team = "stevenage borough"
CREATE TABLE table_name_9 (attendance INTEGER, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 15116, 663, 3, 21342, 17966, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 11364, 21, 1031, 28, 3, 849, 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, 4800, 4, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 234, 834, 11650, 3274, 96, 849, 1926, 545, 3, 12823, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the lowest height for Parent grasmoor when it has a Prom larger than 117?
SELECT MIN(height__m_) FROM table_name_94 WHERE parent = "grasmoor" AND prom__m_ > 117
CREATE TABLE table_name_94 (height__m_ INTEGER, parent VARCHAR, prom__m_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 88, 2632, 834, 834, 51, 834, 3, 21342, 17966, 6, 4208, 584, 4280, 28027, 6, 15207, 834, 834, 51, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 321...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 88, 2632, 834, 834, 51, 834, 61, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 4208, 3274, 96, 3484, 7, 21477, 121, 3430, 15207, 834, 834, 51, 834, 2490, 3, 20275, 1, -100, -100, -100, -100, -1...
Which Class is Peak Sail when it has a Prom larger than 30?
SELECT class FROM table_name_34 WHERE prom__m_ > 30 AND peak = "sail"
CREATE TABLE table_name_34 (class VARCHAR, prom__m_ VARCHAR, peak VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 4057, 584, 4280, 28027, 6, 15207, 834, 834, 51, 834, 584, 4280, 28027, 6, 6734, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4501, 19, 1899...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 853, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 15207, 834, 834, 51, 834, 2490, 604, 3430, 6734, 3274, 96, 7, 9, 173, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Parent has height smaller than 756 and a Prom of 39?
SELECT parent FROM table_name_52 WHERE height__m_ < 756 AND prom__m_ = 39
CREATE TABLE table_name_52 (parent VARCHAR, height__m_ VARCHAR, prom__m_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 12352, 584, 4280, 28027, 6, 3902, 834, 834, 51, 834, 584, 4280, 28027, 6, 15207, 834, 834, 51, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4208, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 3902, 834, 834, 51, 834, 3, 2, 489, 4834, 3430, 15207, 834, 834, 51, 834, 3274, 6352, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who had the lowest interview score from South Dakota with an evening gown less than 8.513?
SELECT MIN(interview) FROM table_name_52 WHERE state = "south dakota" AND evening_gown < 8.513
CREATE TABLE table_name_52 (interview INTEGER, state VARCHAR, evening_gown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 3870, 4576, 3, 21342, 17966, 6, 538, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 141, 8, 7402, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 3870, 4576, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 538, 3274, 96, 7, 670, 107, 836, 15414, 9, 121, 3430, 2272, 834, 122, 9197, 3, 2, 3, 19253, 2368, 1, -100, -100, -100, -100, -100, ...
What is the highest average of the contestant from Texas with an evening gown larger than 8.875?
SELECT MAX(average) FROM table_name_57 WHERE state = "texas" AND evening_gown > 8.875
CREATE TABLE table_name_57 (average INTEGER, state VARCHAR, evening_gown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 28951, 3, 21342, 17966, 6, 538, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 28951, 61, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 538, 3274, 96, 10354, 9, 7, 121, 3430, 2272, 834, 122, 9197, 2490, 4848, 927, 3072, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the average interview score from Kentucky?
SELECT AVG(interview) FROM table_name_27 WHERE state = "kentucky"
CREATE TABLE table_name_27 (interview INTEGER, state VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 3870, 4576, 3, 21342, 17966, 6, 538, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 2772, 2604, 45, 13401, 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, 3870, 4576, 61, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 538, 3274, 96, 2217, 17, 4636, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest evening score of the contestant with an evening gown less than 8.938, from Texas, and with an average less than 8.846 has?
SELECT MIN(interview) FROM table_name_3 WHERE evening_gown < 8.938 AND state = "texas" AND average < 8.846
CREATE TABLE table_name_3 (interview INTEGER, average VARCHAR, evening_gown VARCHAR, state VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 3870, 4576, 3, 21342, 17966, 6, 1348, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 6, 538, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 3870, 4576, 61, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 2272, 834, 122, 9197, 3, 2, 4848, 4271, 927, 3430, 538, 3274, 96, 10354, 9, 7, 121, 3430, 1348, 3, 2, 4848, 927, 4448, 1, -100, -1...
What is the highest swimsuit score of the contestant with an evening gown larger than 9.175 and an interview score less than 8.425?
SELECT MAX(swimsuit) FROM table_name_91 WHERE evening_gown > 9.175 AND interview < 8.425
CREATE TABLE table_name_91 (swimsuit INTEGER, evening_gown VARCHAR, interview VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 7, 210, 603, 7628, 3, 21342, 17966, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 6, 2772, 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, 7, 210, 603, 7628, 61, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 2272, 834, 122, 9197, 2490, 5835, 536, 3072, 3430, 2772, 3, 2, 4848, 591, 1828, 1, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest average of the contestant with an interview of 8.275 and an evening gown bigger than 8.7?
SELECT MIN(average) FROM table_name_31 WHERE interview = 8.275 AND evening_gown > 8.7
CREATE TABLE table_name_31 (average INTEGER, interview VARCHAR, evening_gown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 28951, 3, 21342, 17966, 6, 2772, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 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, 1, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 28951, 61, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 2772, 3274, 4848, 25988, 3430, 2272, 834, 122, 9197, 2490, 4848, 940, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many attended the game at Arden Street Oval?
SELECT AVG(crowd) FROM table_name_86 WHERE venue = "arden street oval"
CREATE TABLE table_name_86 (crowd INTEGER, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 75, 3623, 26, 3, 21342, 17966, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 5526, 8, 467, 44, 22635, 35, 1887, 411, 2165, 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, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 5669, 3274, 96, 986, 35, 2815, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score for Geelong?
SELECT away_team AS score FROM table_name_84 WHERE home_team = "geelong"
CREATE TABLE table_name_84 (away_team VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 21, 961, 15, 2961, 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, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 234, 834, 11650, 3274, 96, 397, 15, 2961, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the lowest year joined in the city of College Park at the Conference championships smaller than 0?
SELECT MIN(joined) FROM table_name_81 WHERE city = "college park" AND conference_championships < 0
CREATE TABLE table_name_81 (joined INTEGER, city VARCHAR, conference_championships VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 1927, 630, 26, 3, 21342, 17966, 6, 690, 584, 4280, 28027, 6, 2542, 834, 17788, 12364, 2009, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 1927, 630, 26, 61, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 690, 3274, 96, 3297, 7883, 2447, 121, 3430, 2542, 834, 17788, 12364, 2009, 7, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -10...
What is the latest year joined with a Conference championships of 5, and an Institution of university of north carolina?
SELECT MAX(joined) FROM table_name_84 WHERE conference_championships = 5 AND institution = "university of north carolina"
CREATE TABLE table_name_84 (joined INTEGER, conference_championships VARCHAR, institution VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 1927, 630, 26, 3, 21342, 17966, 6, 2542, 834, 17788, 12364, 2009, 7, 584, 4280, 28027, 6, 6568, 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, 4800, 4, 599, 1927, 630, 26, 61, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 2542, 834, 17788, 12364, 2009, 7, 3274, 305, 3430, 6568, 3274, 96, 7846, 485, 13, 3457, 443, 12057, 9, 121, 1, -100, -100, -100, ...
What is the year joined with a Conference championships of 5, and a Nickname of wolfpack?
SELECT joined FROM table_name_15 WHERE conference_championships = 5 AND nickname = "wolfpack"
CREATE TABLE table_name_15 (joined VARCHAR, conference_championships VARCHAR, nickname VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 1927, 630, 26, 584, 4280, 28027, 6, 2542, 834, 17788, 12364, 2009, 7, 584, 4280, 28027, 6, 24649, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 36...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3311, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 2542, 834, 17788, 12364, 2009, 7, 3274, 305, 3430, 24649, 3274, 96, 19747, 5745, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which is the smallest Total produced with a model of FM H-15-44?
SELECT MIN(total_produced) FROM table_name_68 WHERE model = "fm h-15-44"
CREATE TABLE table_name_68 (total_produced INTEGER, model VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 235, 1947, 834, 29462, 3, 21342, 17966, 6, 825, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 19, 8, 3, 17924, 9273, 2546, 28, 3, 9, 825, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17684, 599, 235, 1947, 834, 29462, 61, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 825, 3274, 96, 89, 51, 3, 107, 10106, 18, 3628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the date for attendance more than 20,268
SELECT date FROM table_name_47 WHERE attendance > 20 OFFSET 268
CREATE TABLE table_name_47 (date VARCHAR, attendance INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 5522, 584, 4280, 28027, 6, 11364, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 833, 21, 11364, 72, 145, 16047, 357, 3651, 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, 833, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 11364, 2490, 460, 3, 15316, 20788, 204, 3651, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the D 47 when it has a D 45 of d 32
SELECT d_47 FROM table_name_32 WHERE d_45 = "d 32"
CREATE TABLE table_name_32 (d_47 VARCHAR, d_45 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 26, 834, 4177, 584, 4280, 28027, 6, 3, 26, 834, 2128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 309, 10635, 116, 34, 65, 3, 9, 30...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 26, 834, 4177, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 3, 26, 834, 2128, 3274, 96, 26, 3538, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the D 47 when it has a D 41 of r 36
SELECT d_47 FROM table_name_93 WHERE d_41 = "r 36"
CREATE TABLE table_name_93 (d_47 VARCHAR, d_41 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 26, 834, 4177, 584, 4280, 28027, 6, 3, 26, 834, 4853, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 309, 10635, 116, 34, 65, 3, 9, 30...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 26, 834, 4177, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 3, 26, 834, 4853, 3274, 96, 52, 4475, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the D 47 when it has a D 48 of d 49 and D 42 of r 42
SELECT d_47 FROM table_name_35 WHERE d_48 = "d 49" AND d_42 = "r 42"
CREATE TABLE table_name_35 (d_47 VARCHAR, d_48 VARCHAR, d_42 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 26, 834, 4177, 584, 4280, 28027, 6, 3, 26, 834, 3707, 584, 4280, 28027, 6, 3, 26, 834, 4165, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 26, 834, 4177, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 3, 26, 834, 3707, 3274, 96, 26, 9526, 121, 3430, 3, 26, 834, 4165, 3274, 96, 52, 6426, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the D 48 when it has a D 44 of d 33
SELECT d_48 FROM table_name_29 WHERE d_44 = "d 33"
CREATE TABLE table_name_29 (d_48 VARCHAR, d_44 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 26, 834, 3707, 584, 4280, 28027, 6, 3, 26, 834, 3628, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 309, 4678, 116, 34, 65, 3, 9, 309...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 26, 834, 3707, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 3, 26, 834, 3628, 3274, 96, 26, 5400, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the D 44 when it has a D 46 of d 31
SELECT d_44 FROM table_name_63 WHERE d_46 = "d 31"
CREATE TABLE table_name_63 (d_44 VARCHAR, d_46 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 26, 834, 3628, 584, 4280, 28027, 6, 3, 26, 834, 4448, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 309, 8537, 116, 34, 65, 3, 9, 309...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 26, 834, 3628, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 3, 26, 834, 4448, 3274, 96, 26, 2664, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Tell me the model with fuel or propulsion of diesel and orion manufacturer in 2005
SELECT model FROM table_name_68 WHERE fuel_or_propulsion = "diesel" AND manufacturer = "orion" AND year = 2005
CREATE TABLE table_name_68 (model VARCHAR, year VARCHAR, fuel_or_propulsion VARCHAR, manufacturer VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 21770, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 2914, 834, 127, 834, 1409, 20567, 584, 4280, 28027, 6, 4818, 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, 0, 0...
[ 3, 23143, 14196, 825, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 2914, 834, 127, 834, 1409, 20567, 3274, 96, 7719, 15, 40, 121, 3430, 4818, 3274, 96, 2057, 106, 121, 3430, 215, 3274, 3105, 1, -100, -100, -100, -100, -100, -1...
Name the sum of quantity for before 2011 model slf-230
SELECT SUM(quantity) FROM table_name_60 WHERE year < 2011 AND model = "slf-230"
CREATE TABLE table_name_60 (quantity INTEGER, year VARCHAR, model VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 13158, 485, 3, 21342, 17966, 6, 215, 584, 4280, 28027, 6, 825, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 4505, 13, 8708, 21, 274, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 13158, 485, 61, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 215, 3, 2, 2722, 3430, 825, 3274, 96, 7, 40, 89, 18, 13427, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the fleet series with a quantity of 5
SELECT fleet_series FROM table_name_96 WHERE quantity = 5
CREATE TABLE table_name_96 (fleet_series VARCHAR, quantity VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 89, 109, 15, 17, 834, 10833, 7, 584, 4280, 28027, 6, 8708, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 9111, 939, 28, 3, 9, 8708, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9111, 834, 10833, 7, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 8708, 3274, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When was the Mallala race held?
SELECT date FROM table_name_57 WHERE race_title = "mallala"
CREATE TABLE table_name_57 (date VARCHAR, race_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 5522, 584, 4280, 28027, 6, 1964, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 8, 13552, 138, 9, 1964, 1213, 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, 833, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 1964, 834, 21869, 3274, 96, 1982, 521, 521, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which driver won the Phillip Island Grand Prix Circuit?
SELECT winner FROM table_name_61 WHERE circuit = "phillip island grand prix circuit"
CREATE TABLE table_name_61 (winner VARCHAR, circuit VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 3757, 687, 584, 4280, 28027, 6, 4558, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2535, 751, 8, 16202, 2834, 2698, 12942, 17007, 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, 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, 4668, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 4558, 3274, 96, 18118, 7446, 3368, 1907, 3407, 4558, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the name of the driver that won the Lakeside race?
SELECT winner FROM table_name_44 WHERE race_title = "lakeside"
CREATE TABLE table_name_44 (winner VARCHAR, race_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 3757, 687, 584, 4280, 28027, 6, 1964, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 564, 13, 8, 2535, 24, 751, 8, 2154, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4668, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 1964, 834, 21869, 3274, 96, 16948, 1583, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the clerk when the highway commissioner was Albert Lewis?
SELECT clerk FROM table_name_14 WHERE highway_commissioners = "albert lewis"
CREATE TABLE table_name_14 (clerk VARCHAR, highway_commissioners VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 75, 1171, 157, 584, 4280, 28027, 6, 10367, 834, 287, 5451, 277, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 24416, 116, 8, 10367, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 24416, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 10367, 834, 287, 5451, 277, 3274, 96, 138, 7041, 90, 210, 159, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who was the supervisor in the year 1846?
SELECT supervisor FROM table_name_43 WHERE years = "1846"
CREATE TABLE table_name_43 (supervisor VARCHAR, years VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 21771, 24680, 584, 4280, 28027, 6, 203, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 14640, 16, 8, 215, 507, 4448, 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, 14640, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 203, 3274, 96, 2606, 4448, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When Treasurer was treasurer, who was the highway commissioner?
SELECT highway_commissioners FROM table_name_37 WHERE "treasurer" = "treasurer"
CREATE TABLE table_name_37 (highway_commissioners VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 6739, 1343, 834, 287, 5451, 277, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 20235, 52, 47, 9336, 52, 6, 113, 47, 8, 10367, 24476, 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, 10367, 834, 287, 5451, 277, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 96, 929, 9, 3042, 49, 121, 3274, 96, 929, 9, 3042, 49, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many snatches were there with a total of 267.5?
SELECT COUNT(snatch) FROM table_name_73 WHERE total < 267.5
CREATE TABLE table_name_73 (snatch VARCHAR, total INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 7, 29, 14547, 584, 4280, 28027, 6, 792, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 3, 7, 29, 144, 2951, 130, 132, 28, 3, 9, 792, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 7, 29, 14547, 61, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 792, 3, 2, 2208, 15731, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What event has a 122.5 snatch rate?
SELECT event FROM table_name_2 WHERE snatch = 122.5
CREATE TABLE table_name_2 (event VARCHAR, snatch VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 15, 2169, 584, 4280, 28027, 6, 3, 7, 29, 14547, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 605, 65, 3, 9, 586, 15967, 3, 7, 29, 14547, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 605, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 3, 7, 29, 14547, 3274, 586, 15967, 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 lowest total that had less than 170 snatches, 56 kg events and less than 145 clean & jerk?
SELECT MIN(total) FROM table_name_21 WHERE snatch < 170 AND event = "56 kg" AND clean_ & _jerk < 145
CREATE TABLE table_name_21 (total INTEGER, snatch VARCHAR, event VARCHAR, clean_ VARCHAR, _jerk VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 235, 1947, 3, 21342, 17966, 6, 3, 7, 29, 14547, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 6, 1349, 834, 584, 4280, 28027, 6, 3, 834, 12488, 157, 58...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 235, 1947, 61, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 3, 7, 29, 14547, 3, 2, 209, 2518, 3430, 605, 3274, 96, 4834, 9147, 121, 3430, 1349, 834, 3, 184, 3, 834, 12488, 157, 3, 2, 3, 20...
What is the total that had an event of +105 kg and clean & jerk less than 227.5?
SELECT COUNT(total) FROM table_name_54 WHERE event = "+105 kg" AND clean_ & _jerk < 227.5
CREATE TABLE table_name_54 (total VARCHAR, event VARCHAR, clean_ VARCHAR, _jerk VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 235, 1947, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 6, 1349, 834, 584, 4280, 28027, 6, 3, 834, 12488, 157, 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, 235, 1947, 61, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 605, 3274, 96, 1220, 12869, 9147, 121, 3430, 1349, 834, 3, 184, 3, 834, 12488, 157, 3, 2, 1630, 15731, 1, -100, -100, -100, -100, ...
What was the average attendance when the decision was price and montreal were the visitors?
SELECT AVG(attendance) FROM table_name_58 WHERE visitor = "montreal" AND decision = "price"
CREATE TABLE table_name_58 (attendance INTEGER, visitor VARCHAR, decision VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 15116, 663, 3, 21342, 17966, 6, 7019, 584, 4280, 28027, 6, 1357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1348, 11364, 116, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 7019, 3274, 96, 4662, 6644, 121, 3430, 1357, 3274, 96, 102, 4920, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest attendance for week 2?
SELECT MIN(attendance) FROM table_name_50 WHERE week = 2
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, 19, 8, 7402, 11364, 21, 471, 204, 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, 1752, 549, 17444, 427, 471, 3274, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Tell me the shuttle run with grade c
SELECT shuttle_run__sec_ FROM table_name_36 WHERE grade = "c"
CREATE TABLE table_name_36 (shuttle_run__sec_ VARCHAR, grade VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 14279, 8692, 834, 4312, 834, 834, 7549, 834, 584, 4280, 28027, 6, 2769, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 19317, 661, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 19317, 834, 4312, 834, 834, 7549, 834, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 2769, 3274, 96, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
On January 15, what was the most in attendance?
SELECT MAX(attendance) FROM table_name_42 WHERE date = "january 15"
CREATE TABLE table_name_42 (attendance INTEGER, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4165, 41, 15116, 663, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 1762, 10725, 125, 47, 8, 167, 16, 11364, 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, 4800, 4, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 4165, 549, 17444, 427, 833, 3274, 96, 7066, 76, 1208, 627, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
On January 29, who had the decision of Mason?
SELECT visitor FROM table_name_17 WHERE decision = "mason" AND date = "january 29"
CREATE TABLE table_name_17 (visitor VARCHAR, decision VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 3466, 155, 127, 584, 4280, 28027, 6, 1357, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 1762, 14405, 113, 141, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 7019, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 1357, 3274, 96, 2754, 106, 121, 3430, 833, 3274, 96, 7066, 76, 1208, 2838, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the time of the driver on grid 3?
SELECT time_retired FROM table_name_15 WHERE grid = 3
CREATE TABLE table_name_15 (time_retired VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 97, 13, 8, 2535, 30, 8634, 220, 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, 97, 834, 10682, 1271, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 8634, 3274, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the retired time on someone who had 43 laps on a grip of 18?
SELECT time_retired FROM table_name_17 WHERE laps = 43 AND grid = 18
CREATE TABLE table_name_17 (time_retired VARCHAR, laps VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 10611, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 97, 834, 10682, 1271, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 14941, 7, 3274, 8838, 3430, 8634, 3274, 507, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the fewest laps for somone who finished +18.445?
SELECT MIN(laps) FROM table_name_89 WHERE time_retired = "+18.445"
CREATE TABLE table_name_89 (laps INTEGER, time_retired VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 8478, 7, 3, 21342, 17966, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 360, 222, 14941, 7, 21, 78, 2157, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8478, 7, 61, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 97, 834, 10682, 1271, 3274, 96, 1220, 2606, 5, 3628, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
On which date was a game played at Junction Oval?
SELECT date FROM table_name_40 WHERE venue = "junction oval"
CREATE TABLE table_name_40 (date VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 5522, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 84, 833, 47, 3, 9, 467, 1944, 44, 29092, 411, 2165, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 5669, 3274, 96, 6959, 4985, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
On which date was Essendon the home team?
SELECT date FROM table_name_13 WHERE home_team = "essendon"
CREATE TABLE table_name_13 (date VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 5522, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 84, 833, 47, 11722, 2029, 8, 234, 372, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 234, 834, 11650, 3274, 96, 8185, 2029, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the record on the game that was played on october 27?
SELECT record FROM table_name_72 WHERE date = "october 27"
CREATE TABLE table_name_72 (record VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 60, 7621, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1368, 30, 8, 467, 24, 47, 1944, 30, 3, 32, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 833, 3274, 96, 32, 75, 235, 1152, 2307, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many receptions for players with over 647 yards and an under 14 yard average?
SELECT MIN(rec) FROM table_name_83 WHERE yards > 647 AND avg < 14
CREATE TABLE table_name_83 (rec INTEGER, yards VARCHAR, avg VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 60, 75, 3, 21342, 17966, 6, 6460, 584, 4280, 28027, 6, 3, 9, 208, 122, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 6839, 7, 21, 15...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 60, 75, 61, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 6460, 2490, 431, 4177, 3430, 3, 9, 208, 122, 3, 2, 968, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the home teams score at Victoria Park?
SELECT home_team AS score FROM table_name_31 WHERE venue = "victoria park"
CREATE TABLE table_name_31 (home_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 234, 2323, 2604, 44, 7488, 1061, 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, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 5669, 3274, 96, 7287, 3600, 9, 2447, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the home team at the venue mcg?
SELECT home_team FROM table_name_20 WHERE venue = "mcg"
CREATE TABLE table_name_20 (home_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 234, 372, 44, 8, 5669, 3, 51, 75, 122, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 5669, 3274, 96, 51, 75, 122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the highest attendace of the game with the Lakers as the home team?
SELECT MAX(attendance) FROM table_name_56 WHERE home = "lakers"
CREATE TABLE table_name_56 (attendance INTEGER, home VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 15116, 663, 3, 21342, 17966, 6, 234, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 2467, 3302, 13, 8, 467, 28, 8, 325, 11758, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 234, 3274, 96, 521, 11758, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the record of the game on December 5, 2007?
SELECT record FROM table_name_55 WHERE date = "december 5, 2007"
CREATE TABLE table_name_55 (record VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 60, 7621, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1368, 13, 8, 467, 30, 1882, 7836, 4101, 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, 1368, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 833, 3274, 96, 221, 75, 18247, 7836, 4101, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who was the winner and nominees for the movie directed by cary joji fukunaga?
SELECT winner_and_nominees FROM table_name_44 WHERE director = "cary joji fukunaga"
CREATE TABLE table_name_44 (winner_and_nominees VARCHAR, director VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 3757, 687, 834, 232, 834, 3114, 630, 15, 7, 584, 4280, 28027, 6, 2090, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 4668, 11, 2107...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 4668, 834, 232, 834, 3114, 630, 15, 7, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 2090, 3274, 96, 75, 1208, 3, 354, 21892, 3, 89, 1598, 202, 4711, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the original title for the king's speech?
SELECT original_title FROM table_name_58 WHERE winner_and_nominees = "the king's speech"
CREATE TABLE table_name_58 (original_title VARCHAR, winner_and_nominees VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 21878, 834, 21869, 584, 4280, 28027, 6, 4668, 834, 232, 834, 3114, 630, 15, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 926, 22...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 926, 834, 21869, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 4668, 834, 232, 834, 3114, 630, 15, 7, 3274, 96, 532, 3, 1765, 31, 7, 5023, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the original title of the king's speech?
SELECT original_title FROM table_name_99 WHERE winner_and_nominees = "the king's speech"
CREATE TABLE table_name_99 (original_title VARCHAR, winner_and_nominees VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 21878, 834, 21869, 584, 4280, 28027, 6, 4668, 834, 232, 834, 3114, 630, 15, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 926, 22...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 926, 834, 21869, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 4668, 834, 232, 834, 3114, 630, 15, 7, 3274, 96, 532, 3, 1765, 31, 7, 5023, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who was the director of the king's speech?
SELECT director FROM table_name_77 WHERE original_title = "the king's speech"
CREATE TABLE table_name_77 (director VARCHAR, original_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 25982, 584, 4280, 28027, 6, 926, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 2090, 13, 8, 3, 1765, 31, 7, 5023, 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, 2090, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 926, 834, 21869, 3274, 96, 532, 3, 1765, 31, 7, 5023, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the nationality of the goalie in Round 7?
SELECT nationality FROM table_name_51 WHERE round = 7 AND position = "goalie"
CREATE TABLE table_name_51 (nationality VARCHAR, round VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 16557, 485, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1157, 485, 13, 8, 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, 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, 5553, 549, 17444, 427, 1751, 3274, 489, 3430, 1102, 3274, 96, 839, 9, 1896, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the score from the game played on June 22?
SELECT score FROM table_name_84 WHERE date = "june 22"
CREATE TABLE table_name_84 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 45, 8, 467, 1944, 30, 1515, 1630, 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, 2604, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 833, 3274, 96, 6959, 15, 1630, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...