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
How many pick #'s have james britt as the name, with a round greater than 2?
SELECT COUNT(pick__number) FROM table_name_91 WHERE name = "james britt" AND round > 2
CREATE TABLE table_name_91 (pick__number VARCHAR, name VARCHAR, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 17967, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1432, 17...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 17967, 834, 834, 5525, 1152, 61, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 564, 3274, 96, 1191, 2687, 3, 115, 18208, 121, 3430, 1751, 2490, 204, 1, -100, -100, -100, -100, -100, -100, -100, ...
what is the score on november 15
SELECT score FROM table_name_66 WHERE date = "november 15"
CREATE TABLE table_name_66 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 2604, 30, 3, 5326, 18247, 627, 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, 2604, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 833, 3274, 96, 5326, 18247, 627, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Wins is the highest one that has a Country of united states, and a Player of andy bean, and a Rank smaller than 4?
SELECT MAX(wins) FROM table_name_66 WHERE country = "united states" AND player = "andy bean" AND rank < 4
CREATE TABLE table_name_66 (wins INTEGER, rank VARCHAR, country VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 3757, 7, 3, 21342, 17966, 6, 11003, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4871,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3757, 7, 61, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 684, 3274, 96, 15129, 15, 26, 2315, 121, 3430, 1959, 3274, 96, 232, 63, 15431, 121, 3430, 11003, 3, 2, 314, 1, -100, -100, -100, -100, ...
Which Country has a Rank of 5?
SELECT country FROM table_name_23 WHERE rank = 5
CREATE TABLE table_name_23 (country VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 17529, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6993, 65, 3, 9, 3, 22557, 13, 305, 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, 684, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 11003, 3274, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which Earnings ($) is the lowest one that has a Rank smaller than 1?
SELECT MIN(earnings___) AS $__ FROM table_name_12 WHERE rank < 1
CREATE TABLE table_name_12 (earnings___ INTEGER, rank INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 2741, 29, 53, 7, 834, 834, 834, 3, 21342, 17966, 6, 11003, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 4073, 19883, 53, 7, 8785, 61, 19, 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, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 2741, 29, 53, 7, 834, 834, 834, 61, 6157, 1514, 834, 834, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 11003, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the score of the game on September 13 when the Expos were the opponent?
SELECT score FROM table_name_49 WHERE opponent = "expos" AND date = "september 13"
CREATE TABLE table_name_49 (score VARCHAR, opponent VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 7, 9022, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 13, 8, 467, 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, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 15264, 3274, 96, 19300, 7, 121, 3430, 833, 3274, 96, 7, 6707, 18247, 1179, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the opponent on the September 3 game?
SELECT opponent FROM table_name_38 WHERE date = "september 3"
CREATE TABLE table_name_38 (opponent VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 32, 102, 9977, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 15264, 30, 8, 1600, 220, 467, 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, 15264, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 833, 3274, 96, 7, 6707, 18247, 220, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the save of the game on September 15?
SELECT save FROM table_name_92 WHERE date = "september 15"
CREATE TABLE table_name_92 (save VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 7, 9, 162, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1097, 13, 8, 467, 30, 1600, 627, 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, 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, 1097, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 833, 3274, 96, 7, 6707, 18247, 627, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Game site has a Week larger than 14?
SELECT game_site FROM table_name_44 WHERE week > 14
CREATE TABLE table_name_44 (game_site VARCHAR, week INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 7261, 834, 3585, 584, 4280, 28027, 6, 471, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 4073, 4435, 353, 65, 3, 9, 6551, 2186, 145, 968, 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, 467, 834, 3585, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 471, 2490, 968, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Date has a Game site of jeppesen stadium?
SELECT date FROM table_name_27 WHERE game_site = "jeppesen stadium"
CREATE TABLE table_name_27 (date VARCHAR, game_site VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 5522, 584, 4280, 28027, 6, 467, 834, 3585, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7678, 65, 3, 9, 4435, 353, 13, 528, 6811, 7, 35, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 467, 834, 3585, 3274, 96, 1924, 6811, 7, 35, 14939, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Game site has 27,189 Attendances ?
SELECT game_site FROM table_name_99 WHERE attendance = "27,189"
CREATE TABLE table_name_99 (game_site VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 7261, 834, 3585, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4435, 353, 65, 14141, 25312, 22497, 663, 7, 3, 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, 467, 834, 3585, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 11364, 3274, 96, 2555, 6, 25312, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
When is it has 15,557 Attendances?
SELECT date FROM table_name_35 WHERE attendance = "15,557"
CREATE TABLE table_name_35 (date VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 5522, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 19, 34, 65, 10725, 755, 3436, 22497, 663, 7, 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, 2469, 549, 17444, 427, 11364, 3274, 96, 1808, 6, 755, 3436, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
With an Overall less than 171, what is the Round pick of Lance Moon?
SELECT MIN(round) FROM table_name_36 WHERE name = "lance moon" AND overall < 171
CREATE TABLE table_name_36 (round INTEGER, name VARCHAR, overall VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 7775, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 6, 1879, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 438, 46, 9126, 705, 145, 1003, 4347, 125, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7775, 61, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 564, 3274, 96, 40, 663, 8114, 121, 3430, 1879, 3, 2, 1003, 536, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Name of draft Pick #10?
SELECT name FROM table_name_19 WHERE pick__number = 10
CREATE TABLE table_name_19 (name VARCHAR, pick__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 4350, 584, 4280, 28027, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 5570, 13, 6488, 8356, 1713, 1714,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 564, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 1432, 834, 834, 5525, 1152, 3274, 335, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many Rounds have a Defensive End Pick?
SELECT COUNT(round) FROM table_name_16 WHERE position = "defensive end"
CREATE TABLE table_name_16 (round VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 7775, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 9609, 7, 43, 3, 9, 374, 23039, 15, 3720, 8356, 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, 2847, 17161, 599, 7775, 61, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 1102, 3274, 96, 221, 23039, 15, 414, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the time when Shinya Aoki was the opponent?
SELECT time FROM table_name_57 WHERE opponent = "shinya aoki"
CREATE TABLE table_name_57 (time VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 715, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 97, 116, 14215, 63, 9, 71, 1825, 23, 47, 8, 15264, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 97, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 15264, 3274, 96, 7, 2907, 63, 9, 3, 9, 1825, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which method was used in round 1 with a record of 1-0?
SELECT method FROM table_name_89 WHERE round = 1 AND record = "1-0"
CREATE TABLE table_name_89 (method VARCHAR, round VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 23152, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1573, 47, 261, 16, 1751, 209, 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, 1573, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 1751, 3274, 209, 3430, 1368, 3274, 96, 18930, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which rank has a team of Suzuki with under 16 points?
SELECT rank FROM table_name_96 WHERE team = "suzuki" AND points < 16
CREATE TABLE table_name_96 (rank VARCHAR, team VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 6254, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 11003, 65, 3, 9, 372, 13, 26855, 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, 11003, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 372, 3274, 96, 7, 76, 1000, 2168, 121, 3430, 979, 3, 2, 898, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which class has a rank of 5th?
SELECT class FROM table_name_79 WHERE rank = "5th"
CREATE TABLE table_name_79 (class VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 4057, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 853, 65, 3, 9, 11003, 13, 305, 189, 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, 853, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 11003, 3274, 96, 755, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which team has a class of 500cc and rank of 16th?
SELECT team FROM table_name_88 WHERE class = "500cc" AND rank = "16th"
CREATE TABLE table_name_88 (team VARCHAR, class VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 11650, 584, 4280, 28027, 6, 853, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 372, 65, 3, 9, 853, 13, 2899, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 853, 3274, 96, 2560, 75, 75, 121, 3430, 11003, 3274, 96, 2938, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which team has 16 points and ranks 14th?
SELECT team FROM table_name_90 WHERE points = 16 AND rank = "14th"
CREATE TABLE table_name_90 (team VARCHAR, points VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 11650, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 372, 65, 898, 979, 11, 13799, 968...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 372, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 979, 3274, 898, 3430, 11003, 3274, 96, 2534, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the dance that has priscilla presley is the worst dancer(s), and the worst score of 21?
SELECT dance FROM table_name_68 WHERE worst_dancer_s_ = "priscilla presley" AND worst_score = "21"
CREATE TABLE table_name_68 (dance VARCHAR, worst_dancer_s_ VARCHAR, worst_score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 26, 663, 584, 4280, 28027, 6, 6025, 834, 3768, 2110, 834, 7, 834, 584, 4280, 28027, 6, 6025, 834, 7, 9022, 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, 2595, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 6025, 834, 3768, 2110, 834, 7, 834, 3274, 96, 2246, 7, 75, 1092, 9, 554, 8887, 121, 3430, 6025, 834, 7, 9022, 3274, 96, 2658, 121, 1, -100, -100, -100, -100...
What is the best score of the dance freestyle?
SELECT best_score FROM table_name_30 WHERE dance = "freestyle"
CREATE TABLE table_name_30 (best_score VARCHAR, dance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 9606, 834, 7, 9022, 584, 4280, 28027, 6, 2595, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 200, 2604, 13, 8, 2595, 339, 4084, 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, 200, 834, 7, 9022, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 2595, 3274, 96, 2113, 4084, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which dance has the worst dancer(s) as marissa jaret winokur?
SELECT dance FROM table_name_52 WHERE worst_dancer_s_ = "marissa jaret winokur"
CREATE TABLE table_name_52 (dance VARCHAR, worst_dancer_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 26, 663, 584, 4280, 28027, 6, 6025, 834, 3768, 2110, 834, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2595, 65, 8, 6025, 2595, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2595, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 6025, 834, 3768, 2110, 834, 7, 834, 3274, 96, 51, 9, 28686, 2662, 60, 17, 1369, 32, 10923, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Points have an Opponent of vancouver canucks?
SELECT AVG(points) FROM table_name_91 WHERE opponent = "vancouver canucks"
CREATE TABLE table_name_91 (points INTEGER, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 2700, 7, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4564, 7, 43, 46, 4495, 9977, 13, 4049, 3422, 624, 54, 46...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 15264, 3274, 96, 2132, 3422, 624, 54, 4636, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many Points have a Score of 3–0?
SELECT COUNT(points) FROM table_name_80 WHERE score = "3–0"
CREATE TABLE table_name_80 (points VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 2700, 7, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 4564, 7, 43, 3, 9, 17763, 13, 220, 104, 632, 58, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 2604, 3274, 96, 519, 104, 632, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Game has Points smaller than 10, and an October larger than 12, and an Opponent of @ washington capitals?
SELECT SUM(game) FROM table_name_5 WHERE points < 10 AND october > 12 AND opponent = "@ washington capitals"
CREATE TABLE table_name_5 (game INTEGER, opponent VARCHAR, points VARCHAR, october VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 7261, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 3, 32, 75, 235, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 7261, 61, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 979, 3, 2, 335, 3430, 3, 32, 75, 235, 1152, 2490, 586, 3430, 15264, 3274, 96, 1741, 6179, 6029, 1784, 7, 121, 1, -100, -100, -100, -100, ...
Which Record has Points larger than 0, and a Score of 7–3?
SELECT record FROM table_name_96 WHERE points > 0 AND score = "7–3"
CREATE TABLE table_name_96 (record VARCHAR, points VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 60, 7621, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 11392, 65, 4564, 7, 2186, 145, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 979, 2490, 3, 632, 3430, 2604, 3274, 96, 940, 104, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
On what date was the game more than 5?
SELECT date FROM table_name_23 WHERE game > 5
CREATE TABLE table_name_23 (date VARCHAR, game INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 5522, 584, 4280, 28027, 6, 467, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 461, 125, 833, 47, 8, 467, 72, 145, 305, 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, 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, 2773, 549, 17444, 427, 467, 2490, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which series was on May 16?
SELECT series FROM table_name_4 WHERE date = "may 16"
CREATE TABLE table_name_4 (series VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 10833, 7, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 939, 47, 30, 932, 898, 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, 939, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 833, 3274, 96, 13726, 898, 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 date for oregon jurisdiction
SELECT date FROM table_name_92 WHERE jurisdiction = "oregon"
CREATE TABLE table_name_92 (date VARCHAR, jurisdiction VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 5522, 584, 4280, 28027, 6, 10185, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 833, 21, 42, 15, 5307, 10185, 1, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 10185, 3274, 96, 127, 15, 5307, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the john b. anderson for ronald reagan of 43% and phil crane of 0%
SELECT john_b_anderson FROM table_name_21 WHERE phil_crane = "0%" AND ronald_reagan = "43%"
CREATE TABLE table_name_21 (john_b_anderson VARCHAR, phil_crane VARCHAR, ronald_reagan VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 27341, 834, 115, 834, 232, 13515, 584, 4280, 28027, 6, 3, 18118, 834, 2935, 29, 15, 584, 4280, 28027, 6, 3, 52, 9533, 26, 834, 864, 2565, 584, 4280, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 27341, 834, 115, 834, 232, 13515, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 3, 18118, 834, 2935, 29, 15, 3274, 96, 6932, 121, 3430, 3, 52, 9533, 26, 834, 864, 2565, 3274, 96, 591, 5170, 121, 1, -100, ...
Name the howard bake when bush had 66%
SELECT howard_baker FROM table_name_64 WHERE george_h_w_bush = "66%"
CREATE TABLE table_name_64 (howard_baker VARCHAR, george_h_w_bush VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 4067, 986, 834, 19272, 49, 584, 4280, 28027, 6, 873, 1677, 15, 834, 107, 834, 210, 834, 3465, 107, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 149, 986, 834, 19272, 49, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 873, 1677, 15, 834, 107, 834, 210, 834, 3465, 107, 3274, 96, 3539, 1454, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the george bush for ronald reagan of 43%
SELECT george_h_w_bush FROM table_name_59 WHERE ronald_reagan = "43%"
CREATE TABLE table_name_59 (george_h_w_bush VARCHAR, ronald_reagan VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 397, 1677, 15, 834, 107, 834, 210, 834, 3465, 107, 584, 4280, 28027, 6, 3, 52, 9533, 26, 834, 864, 2565, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 873, 1677, 15, 834, 107, 834, 210, 834, 3465, 107, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 3, 52, 9533, 26, 834, 864, 2565, 3274, 96, 591, 5170, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the howard baker for ronald reagan of 72%
SELECT howard_baker FROM table_name_46 WHERE ronald_reagan = "72%"
CREATE TABLE table_name_46 (howard_baker VARCHAR, ronald_reagan VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 4067, 986, 834, 19272, 49, 584, 4280, 28027, 6, 3, 52, 9533, 26, 834, 864, 2565, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 149, 986...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 149, 986, 834, 19272, 49, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 3, 52, 9533, 26, 834, 864, 2565, 3274, 96, 940, 5406, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the sum of goals for the 2004/05 Season?
SELECT SUM(goals) FROM table_name_48 WHERE season = "2004/05"
CREATE TABLE table_name_48 (goals INTEGER, season VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 839, 5405, 3, 21342, 17966, 6, 774, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 13, 1766, 21, 8, 4406, 87, 3076, 7960, 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, 180, 6122, 599, 839, 5405, 61, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 774, 3274, 96, 21653, 87, 3076, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the lowest caps for the Club of SBV Excelsior?
SELECT MIN(caps) FROM table_name_86 WHERE club = "sbv excelsior"
CREATE TABLE table_name_86 (caps INTEGER, club VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 4010, 7, 3, 21342, 17966, 6, 1886, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 16753, 21, 8, 1949, 13, 180, 22480, 9506, 7, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 4010, 7, 61, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 1886, 3274, 96, 7, 115, 208, 11197, 7, 23, 127, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which season has Caps lower than 36 for the Club of NAC Breda?
SELECT season FROM table_name_35 WHERE caps < 36 AND club = "nac breda"
CREATE TABLE table_name_35 (season VARCHAR, caps VARCHAR, club VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 9476, 584, 4280, 28027, 6, 16753, 584, 4280, 28027, 6, 1886, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 774, 65, 4000, 7, 1364, 145, 4475...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 774, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 16753, 3, 2, 4475, 3430, 1886, 3274, 96, 11962, 3, 1999, 26, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Opponents in the final have a Partner of daniella dominikovic?
SELECT opponents_in_the_final FROM table_name_91 WHERE partner = "daniella dominikovic"
CREATE TABLE table_name_91 (opponents_in_the_final VARCHAR, partner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 32, 102, 9977, 7, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 6, 2397, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4495, 9977, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 16383, 834, 77, 834, 532, 834, 12406, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 2397, 3274, 96, 26, 2738, 5303, 10138, 12027, 7287, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Date has a Partner of daniella dominikovic?
SELECT date FROM table_name_33 WHERE partner = "daniella dominikovic"
CREATE TABLE table_name_33 (date VARCHAR, partner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 5522, 584, 4280, 28027, 6, 2397, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7678, 65, 3, 9, 5793, 13, 3, 26, 2738, 5303, 10138, 12027, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 2397, 3274, 96, 26, 2738, 5303, 10138, 12027, 7287, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Surface has a Partner of pemra özgen?
SELECT surface FROM table_name_89 WHERE partner = "pemra özgen"
CREATE TABLE table_name_89 (surface VARCHAR, partner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 26899, 584, 4280, 28027, 6, 2397, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 18884, 65, 3, 9, 5793, 13, 158, 51, 52, 9, 3, 1872, 172, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1774, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 2397, 3274, 96, 855, 51, 52, 9, 3, 1872, 172, 729, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Date has Opponents in the final of valeria casillo lilly raffa?
SELECT date FROM table_name_59 WHERE opponents_in_the_final = "valeria casillo lilly raffa"
CREATE TABLE table_name_59 (date VARCHAR, opponents_in_the_final VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 5522, 584, 4280, 28027, 6, 16383, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7678, 65, 4495, 9977, 7, 16, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 16383, 834, 77, 834, 532, 834, 12406, 3274, 96, 2165, 4476, 1990, 1092, 32, 3, 40, 173, 120, 3, 52, 4127, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100...
Which Date has a Partner of daniella dominikovic?
SELECT date FROM table_name_66 WHERE partner = "daniella dominikovic"
CREATE TABLE table_name_66 (date VARCHAR, partner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 5522, 584, 4280, 28027, 6, 2397, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7678, 65, 3, 9, 5793, 13, 3, 26, 2738, 5303, 10138, 12027, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 2397, 3274, 96, 26, 2738, 5303, 10138, 12027, 7287, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Nationality of england, and a Matches smaller than 510, and a Lost of 4, and a Win % smaller than 28.6 had what lowest drawn?
SELECT MIN(drawn) FROM table_name_5 WHERE nationality = "england" AND matches < 510 AND lost = 4 AND win__percentage < 28.6
CREATE TABLE table_name_5 (drawn INTEGER, win__percentage VARCHAR, lost VARCHAR, nationality VARCHAR, matches VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 19489, 29, 3, 21342, 17966, 6, 1369, 834, 834, 883, 3728, 545, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 6407, 584...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 19489, 29, 61, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 1157, 485, 3274, 96, 4606, 40, 232, 121, 3430, 6407, 3, 2, 3, 25926, 3430, 1513, 3274, 314, 3430, 1369, 834, 834, 883, 3728, 545, 3, ...
Win % larger than 47.1, and a Matches smaller than 145 had what lowest lost?
SELECT MIN(lost) FROM table_name_47 WHERE win__percentage > 47.1 AND matches < 145
CREATE TABLE table_name_47 (lost INTEGER, win__percentage VARCHAR, matches VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 2298, 17, 3, 21342, 17966, 6, 1369, 834, 834, 883, 3728, 545, 584, 4280, 28027, 6, 6407, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4871, 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, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 1369, 834, 834, 883, 3728, 545, 2490, 314, 25059, 3430, 6407, 3, 2, 3, 20987, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Matches of 15, and a Win % smaller than 20 had what highest lost?
SELECT MAX(lost) FROM table_name_83 WHERE matches = 15 AND win__percentage < 20
CREATE TABLE table_name_83 (lost INTEGER, matches VARCHAR, win__percentage VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 2298, 17, 3, 21342, 17966, 6, 6407, 584, 4280, 28027, 6, 1369, 834, 834, 883, 3728, 545, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 12296, 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, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 6407, 3274, 627, 3430, 1369, 834, 834, 883, 3728, 545, 3, 2, 460, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Nationality of england, and a Lost larger than 39, and a Win % of 28.7, and a Drawn smaller than 37 had what sum of matches?
SELECT SUM(matches) FROM table_name_1 WHERE nationality = "england" AND lost > 39 AND win__percentage = 28.7 AND drawn < 37
CREATE TABLE table_name_1 (matches INTEGER, drawn VARCHAR, win__percentage VARCHAR, nationality VARCHAR, lost VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 19515, 15, 7, 3, 21342, 17966, 6, 6796, 584, 4280, 28027, 6, 1369, 834, 834, 883, 3728, 545, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 1513, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 19515, 15, 7, 61, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 1157, 485, 3274, 96, 4606, 40, 232, 121, 3430, 1513, 2490, 6352, 3430, 1369, 834, 834, 883, 3728, 545, 3274, 2059, 5, 940, 3430, ...
Drawn smaller than 24, and a Lost smaller than 17, and a Win % smaller than 31.25 had how many total number of matches?
SELECT COUNT(matches) FROM table_name_5 WHERE drawn < 24 AND lost < 17 AND win__percentage < 31.25
CREATE TABLE table_name_5 (matches VARCHAR, win__percentage VARCHAR, drawn VARCHAR, lost VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 19515, 15, 7, 584, 4280, 28027, 6, 1369, 834, 834, 883, 3728, 545, 584, 4280, 28027, 6, 6796, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 61, 3, 32105,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 19515, 15, 7, 61, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 6796, 3, 2, 997, 3430, 1513, 3, 2, 1003, 3430, 1369, 834, 834, 883, 3728, 545, 3, 2, 2664, 5, 1828, 1, -100, -100, -100, -100...
Lost of 18 had what sum of win %?
SELECT SUM(win__percentage) FROM table_name_52 WHERE lost = 18
CREATE TABLE table_name_52 (win__percentage INTEGER, lost VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 3757, 834, 834, 883, 3728, 545, 3, 21342, 17966, 6, 1513, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 19576, 13, 507, 141, 125, 4505, 13, 1369, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 3757, 834, 834, 883, 3728, 545, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 1513, 3274, 507, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
When was the score 5-31?
SELECT date FROM table_name_20 WHERE record = "5-31"
CREATE TABLE table_name_20 (date VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 5522, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 8, 2604, 7670, 3341, 58, 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, 833, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 1368, 3274, 96, 755, 18, 3341, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the second leg that has kk bosna?
SELECT 2 AS nd_leg FROM table_name_49 WHERE team__number1 = "kk bosna"
CREATE TABLE table_name_49 (team__number1 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 11650, 834, 834, 5525, 1152, 536, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 511, 4553, 24, 65, 3, 8511, 3005, 7, 29, 9, 58, 1,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 204, 6157, 3, 727, 834, 5772, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 372, 834, 834, 5525, 1152, 536, 3274, 96, 8511, 3005, 7, 29, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the 1st leg that has hapoel jerusalem?
SELECT 1 AS st_leg FROM table_name_75 WHERE team__number1 = "hapoel jerusalem"
CREATE TABLE table_name_75 (team__number1 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 11650, 834, 834, 5525, 1152, 536, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 209, 7, 17, 4553, 24, 65, 3, 9516, 32, 15, 40, 528...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 209, 6157, 3, 7, 17, 834, 5772, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 372, 834, 834, 5525, 1152, 536, 3274, 96, 9516, 32, 15, 40, 528, 4502, 9, 109, 51, 121, 1, -100, -100, -100, -100, -100, -100, -...
Which 1st leg that has hemofarm?
SELECT 1 AS st_leg FROM table_name_12 WHERE team__number1 = "hemofarm"
CREATE TABLE table_name_12 (team__number1 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 11650, 834, 834, 5525, 1152, 536, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 209, 7, 17, 4553, 24, 65, 24731, 5544, 51, 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, 209, 6157, 3, 7, 17, 834, 5772, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 372, 834, 834, 5525, 1152, 536, 3274, 96, 6015, 858, 6768, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who averaged 201.3 yards passing per game?
SELECT name FROM table_name_6 WHERE avg_g = 201.3
CREATE TABLE table_name_6 (name VARCHAR, avg_g VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 4350, 584, 4280, 28027, 6, 3, 9, 208, 122, 834, 122, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 1348, 26, 460, 13606, 6460, 5792, 399, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 564, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 3, 9, 208, 122, 834, 122, 3274, 460, 13606, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many players had an Att-Cmp-Int of 143–269–16, and an efficiency of less than 116.9?
SELECT COUNT(avg_g) FROM table_name_88 WHERE att_cmp_int = "143–269–16" AND effic < 116.9
CREATE TABLE table_name_88 (avg_g VARCHAR, att_cmp_int VARCHAR, effic VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 9, 208, 122, 834, 122, 584, 4280, 28027, 6, 44, 17, 834, 75, 1167, 834, 77, 17, 584, 4280, 28027, 6, 13577, 447, 584, 4280, 28027, 61, 3, 32105, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 9, 208, 122, 834, 122, 61, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 44, 17, 834, 75, 1167, 834, 77, 17, 3274, 96, 25133, 104, 357, 3951, 104, 2938, 121, 3430, 13577, 447, 3, 2, 3, 201...
What is the Att-Cmp-Int for the player with a efficiency of 117.4?
SELECT att_cmp_int FROM table_name_72 WHERE effic = 117.4
CREATE TABLE table_name_72 (att_cmp_int VARCHAR, effic VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 144, 17, 834, 75, 1167, 834, 77, 17, 584, 4280, 28027, 6, 13577, 447, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 486, 17, 18, 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, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 44, 17, 834, 75, 1167, 834, 77, 17, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 13577, 447, 3274, 3, 20275, 5, 591, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the total number of legs lost of the player with a high checkout less than 76 and less than 3 played?
SELECT COUNT(legs_lost) FROM table_name_1 WHERE high_checkout < 76 AND played < 3
CREATE TABLE table_name_1 (legs_lost VARCHAR, high_checkout VARCHAR, played VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 5772, 7, 834, 2298, 17, 584, 4280, 28027, 6, 306, 834, 10031, 670, 584, 4280, 28027, 6, 1944, 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, 2847, 17161, 599, 5772, 7, 834, 2298, 17, 61, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 306, 834, 10031, 670, 3, 2, 3, 3959, 3430, 1944, 3, 2, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Ch1 in the region served by Central Tablelands?
SELECT ch_1 FROM table_name_73 WHERE region_served = "central tablelands"
CREATE TABLE table_name_73 (ch_1 VARCHAR, region_served VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 524, 834, 536, 584, 4280, 28027, 6, 1719, 834, 3473, 15, 26, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4004, 536, 16, 8, 1719, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 524, 834, 536, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 1719, 834, 3473, 15, 26, 3274, 96, 20071, 953, 6347, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What transmitter location has digital power of 570kw?
SELECT transmitter_location FROM table_name_62 WHERE digital_power = "570kw"
CREATE TABLE table_name_62 (transmitter_location VARCHAR, digital_power VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 7031, 1538, 449, 834, 14836, 584, 4280, 28027, 6, 1125, 834, 6740, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 27707, 1128, 65, 1125, 579, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 27707, 834, 14836, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 1125, 834, 6740, 3274, 96, 28363, 157, 210, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What year did team Yamaha have 0 wins, a rank of 8th, and more than 22 points?
SELECT COUNT(year) FROM table_name_96 WHERE team = "yamaha" AND wins = 0 AND rank = "8th" AND points > 22
CREATE TABLE table_name_96 (year VARCHAR, points VARCHAR, rank VARCHAR, team VARCHAR, wins VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 1201, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 61, 3, 32105, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 1201, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 372, 3274, 96, 22990, 1024, 121, 3430, 9204, 3274, 3, 632, 3430, 11003, 3274, 96, 927, 189, 121, 3430, 979, 2490, 1630, 1, -100, -100, -...
Name the total number of rounds for gina carano
SELECT COUNT(round) FROM table_name_6 WHERE opponent = "gina carano"
CREATE TABLE table_name_6 (round VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 7775, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381, 13, 14419, 21, 3, 19604, 443, 152, 32, 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, 7775, 61, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 15264, 3274, 96, 19604, 443, 152, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the difference related to 2 losses and fewer than 10 points?
SELECT points_difference FROM table_name_51 WHERE lost = 2 AND points < 10
CREATE TABLE table_name_51 (points_difference VARCHAR, lost VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 2700, 7, 834, 26, 99, 11788, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1750...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 979, 834, 26, 99, 11788, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 1513, 3274, 204, 3430, 979, 3, 2, 335, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Where did the game(s) against Iowa take place?
SELECT site FROM table_name_94 WHERE opponent = "iowa"
CREATE TABLE table_name_94 (site VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 3585, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 410, 8, 467, 599, 7, 61, 581, 12034, 240, 286, 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, 353, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 15264, 3274, 96, 23, 2381, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the Outcome of the Doubles played on Carpet?
SELECT outcome FROM table_name_35 WHERE surface = "carpet"
CREATE TABLE table_name_35 (outcome VARCHAR, surface VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 670, 287, 15, 584, 4280, 28027, 6, 1774, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3387, 287, 15, 13, 8, 8405, 7, 1944, 30, 17...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6138, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 1774, 3274, 96, 1720, 4995, 121, 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 Surface during the match with Partner Debbie Graham?
SELECT surface FROM table_name_26 WHERE partner = "debbie graham"
CREATE TABLE table_name_26 (surface VARCHAR, partner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 26899, 584, 4280, 28027, 6, 2397, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 18884, 383, 8, 1588, 28, 5793, 29120, 15146, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1774, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 2397, 3274, 96, 221, 115, 4232, 3, 3484, 1483, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the Partner on February 23, 1997?
SELECT partner FROM table_name_91 WHERE date = "february 23, 1997"
CREATE TABLE table_name_91 (partner VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 12300, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 5793, 30, 2083, 12992, 6622, 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, 2397, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 833, 3274, 96, 89, 15, 9052, 1208, 12992, 6622, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the Tournament on May 24, 1992 played on a Clay Surface?
SELECT tournament FROM table_name_64 WHERE surface = "clay" AND date = "may 24, 1992"
CREATE TABLE table_name_64 (tournament VARCHAR, surface VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 17, 1211, 20205, 17, 584, 4280, 28027, 6, 1774, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 20502, 30, 9...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5892, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 1774, 3274, 96, 4651, 63, 121, 3430, 833, 3274, 96, 13726, 14320, 9047, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the Surface in the match with a Score of 7–5, 6–7, 4–6?
SELECT surface FROM table_name_40 WHERE score = "7–5, 6–7, 4–6"
CREATE TABLE table_name_40 (surface VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 26899, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 18884, 16, 8, 1588, 28, 3, 9, 17763, 13, 489, 104, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1774, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 2604, 3274, 96, 940, 104, 11116, 431, 104, 940, 6, 314, 104, 948, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the frequency MHz in tremonton, utah with a ERP W larger than 30?
SELECT frequency_mhz FROM table_name_50 WHERE erp_w > 30 AND city_of_license = "tremonton, utah"
CREATE TABLE table_name_50 (frequency_mhz VARCHAR, erp_w VARCHAR, city_of_license VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 30989, 834, 51, 107, 172, 584, 4280, 28027, 6, 3, 49, 102, 834, 210, 584, 4280, 28027, 6, 690, 834, 858, 834, 28062, 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, 7321, 834, 51, 107, 172, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 3, 49, 102, 834, 210, 2490, 604, 3430, 690, 834, 858, 834, 28062, 3274, 96, 929, 4662, 106, 6, 3, 76, 17, 9, 107, 121, 1, -100, -100, ...
What is k275av call sign's highest erp w?
SELECT MAX(erp_w) FROM table_name_59 WHERE call_sign = "k275av"
CREATE TABLE table_name_59 (erp_w INTEGER, call_sign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 49, 102, 834, 210, 3, 21342, 17966, 6, 580, 834, 6732, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 3, 157, 25988, 9, 208, 580, 1320, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 49, 102, 834, 210, 61, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 580, 834, 6732, 3274, 96, 157, 25988, 9, 208, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the year for american conference semifinals
SELECT year FROM table_name_96 WHERE playoffs = "american conference semifinals"
CREATE TABLE table_name_96 (year VARCHAR, playoffs VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 1201, 584, 4280, 28027, 6, 15289, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 215, 21, 10211, 2542, 27504, 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, 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, 215, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 15289, 7, 3274, 96, 23064, 29, 2542, 27504, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the total number of years for quarterfinals
SELECT COUNT(year) FROM table_name_35 WHERE playoffs = "quarterfinals"
CREATE TABLE table_name_35 (year VARCHAR, playoffs VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 1201, 584, 4280, 28027, 6, 15289, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381, 13, 203, 21, 2893, 12406, 7, 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, 1201, 61, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 15289, 7, 3274, 96, 19973, 12406, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who is the Runner-up that has a Season less than 2005?
SELECT runner_up FROM table_name_54 WHERE season < 2005
CREATE TABLE table_name_54 (runner_up VARCHAR, season INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 10806, 834, 413, 584, 4280, 28027, 6, 774, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 3, 23572, 18, 413, 24, 65, 3, 9, 7960, 70...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 10806, 834, 413, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 774, 3, 2, 3105, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Seasonhas a Score of 3 – 3 aet , 4–3 pen?
SELECT MAX(season) FROM table_name_52 WHERE score = "3 – 3 aet , 4–3 pen"
CREATE TABLE table_name_52 (season INTEGER, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 9476, 3, 21342, 17966, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7960, 10293, 3, 9, 17763, 13, 220, 3, 104, 220, 3, 9, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 9476, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 2604, 3274, 96, 519, 3, 104, 220, 3, 9, 15, 17, 3, 6, 314, 104, 519, 4550, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Season has a Score of 3 – 3 aet , 4–3 pen
SELECT season FROM table_name_31 WHERE score = "3 – 3 aet , 4–3 pen"
CREATE TABLE table_name_31 (season VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 9476, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7960, 65, 3, 9, 17763, 13, 220, 3, 104, 220, 3, 9, 15, 17...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 774, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 2604, 3274, 96, 519, 3, 104, 220, 3, 9, 15, 17, 3, 6, 314, 104, 519, 4550, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many rounds had an overall of 211?
SELECT COUNT(round) FROM table_name_24 WHERE overall = 211
CREATE TABLE table_name_24 (round VARCHAR, overall VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 7775, 584, 4280, 28027, 6, 1879, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 14419, 141, 46, 1879, 13, 3, 27278, 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, 2847, 17161, 599, 7775, 61, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 1879, 3274, 3, 27278, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the mean pick number for the cornerback position when the overall is less than 134?
SELECT AVG(pick__number) FROM table_name_60 WHERE position = "cornerback" AND overall < 134
CREATE TABLE table_name_60 (pick__number INTEGER, position VARCHAR, overall VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 17967, 834, 834, 5525, 1152, 3, 21342, 17966, 6, 1102, 584, 4280, 28027, 6, 1879, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1243, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17967, 834, 834, 5525, 1152, 61, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 1102, 3274, 96, 13165, 49, 1549, 121, 3430, 1879, 3, 2, 3, 23747, 1, -100, -100, -100, -100, -100, -100, -100, -100...
Which 1956 has a County of vâlcea, and a 2011 smaller than 371714?
SELECT SUM(1956) FROM table_name_40 WHERE county = "vâlcea" AND 2011 < 371714
CREATE TABLE table_name_40 (county VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 13362, 63, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 22951, 65, 3, 9, 1334, 13, 3, 208, 1439, 40, 8433, 6, 11, 3, 9, 2722, 2755, 145...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 22464, 10938, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 5435, 3274, 96, 208, 1439, 40, 8433, 121, 3430, 2722, 3, 2, 6862, 2517, 2534, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which 2011 is the lowest one that has a 1948 smaller than 15872624, and a 1966 of 263103, and a 1992 larger than 266308?
SELECT MIN(2011) FROM table_name_81 WHERE 1948 < 15872624 AND 1966 = 263103 AND 1992 > 266308
CREATE TABLE table_name_81 (Id VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 196, 26, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2722, 19, 8, 7402, 80, 24, 65, 3, 9, 21474, 2755, 145, 627, 4225, 2688, 2266, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 13907, 61, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 21474, 3, 2, 627, 4225, 2688, 2266, 3430, 20658, 3274, 204, 3891, 17864, 3430, 9047, 2490, 2208, 3891, 4018, 1, -100, -100, -100, -100, -100...
Which 1992 is the lowest one that has a 1977 smaller than 385577, and a 2011 larger than 340310, and a 2002 larger than 300123, and a 1948 larger than 280524?
SELECT MIN(1992) FROM table_name_12 WHERE 1977 < 385577 AND 2011 > 340310 AND 2002 > 300123 AND 1948 > 280524
CREATE TABLE table_name_12 (Id VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 196, 26, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 9047, 19, 8, 7402, 80, 24, 65, 3, 9, 16433, 2755, 145, 6654, 3769, 4013, 6, 11, 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, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 19479, 7318, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 16433, 3, 2, 6654, 3769, 4013, 3430, 2722, 2490, 3, 21129, 19947, 3430, 4407, 2490, 3147, 14574, 3430, 21474, 2490, 2059, 3076, 2266, 1, -...
Which 1977 is the lowest one that has a County of zzz bucharest, and a 2011 smaller than 1883425?
SELECT MIN(1977) FROM table_name_23 WHERE county = "zzz bucharest" AND 2011 < 1883425
CREATE TABLE table_name_23 (county VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 13362, 63, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 16433, 19, 8, 7402, 80, 24, 65, 3, 9, 1334, 13, 3, 172, 5271, 3, 5671, 9, 6216,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 27181, 12703, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 5435, 3274, 96, 172, 5271, 3, 5671, 9, 6216, 121, 3430, 2722, 3, 2, 3, 25794, 3710, 1828, 1, -100, -100, -100, -100, -100, -100, -100, ...
What is the site of the game that had an attendance of 54,040?
SELECT game_site FROM table_name_23 WHERE attendance = "54,040"
CREATE TABLE table_name_23 (game_site VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 7261, 834, 3585, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 353, 13, 8, 467, 24, 141, 46, 11364, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 467, 834, 3585, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 11364, 3274, 96, 5062, 6, 632, 2445, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the attendance of the game against the houston oilers?
SELECT attendance FROM table_name_6 WHERE opponent = "houston oilers"
CREATE TABLE table_name_6 (attendance VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 15116, 663, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 11364, 13, 8, 467, 581, 8, 3, 9492, 4411, 1043,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 11364, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 15264, 3274, 96, 9492, 4411, 1043, 277, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the date of the game on week 7?
SELECT date FROM table_name_49 WHERE week = 7
CREATE TABLE table_name_49 (date VARCHAR, week VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 5522, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 833, 13, 8, 467, 30, 471, 489, 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, 833, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 471, 3274, 489, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many fans attended the game at Bye?
SELECT attendance FROM table_name_53 WHERE game_site = "bye"
CREATE TABLE table_name_53 (attendance VARCHAR, game_site VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 15116, 663, 584, 4280, 28027, 6, 467, 834, 3585, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 2675, 5526, 8, 467, 44, 938, 15, 58, 1,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11364, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 467, 834, 3585, 3274, 96, 969, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which winner had a location of Iowa?
SELECT winner FROM table_name_12 WHERE location = "iowa"
CREATE TABLE table_name_12 (winner VARCHAR, location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 3757, 687, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4668, 141, 3, 9, 1128, 13, 12034, 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, 4668, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 1128, 3274, 96, 23, 2381, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which opponent in the final had a partner of Katarina Srebotnik and a championship of wimbledon (4)?
SELECT opponents_in_the_final FROM table_name_63 WHERE partner = "katarina srebotnik" AND championship = "wimbledon (4)"
CREATE TABLE table_name_63 (opponents_in_the_final VARCHAR, partner VARCHAR, championship VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 32, 102, 9977, 7, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 6, 2397, 584, 4280, 28027, 6, 10183, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 16383, 834, 77, 834, 532, 834, 12406, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 2397, 3274, 96, 1258, 5310, 29, 9, 3, 7, 60, 4045, 4953, 121, 3430, 10183, 3274, 96, 210, 603, 2296, 2029, 3, 10820, 121, 1,...
Who was the partner when the championship was us open on a hard surface?
SELECT partner FROM table_name_30 WHERE surface = "hard" AND championship = "us open"
CREATE TABLE table_name_30 (partner VARCHAR, surface VARCHAR, championship VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 12300, 584, 4280, 28027, 6, 1774, 584, 4280, 28027, 6, 10183, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 2397, 116, 8, 10183, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2397, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 1774, 3274, 96, 5651, 121, 3430, 10183, 3274, 96, 302, 539, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the surface for Julie Halard when the final score was 6–3, 6–2?
SELECT surface FROM table_name_55 WHERE partner = "julie halard" AND score_in_the_final = "6–3, 6–2"
CREATE TABLE table_name_55 (surface VARCHAR, partner VARCHAR, score_in_the_final VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 26899, 584, 4280, 28027, 6, 2397, 584, 4280, 28027, 6, 2604, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 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, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 1774, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 2397, 3274, 96, 2047, 1896, 3, 3828, 986, 121, 3430, 2604, 834, 77, 834, 532, 834, 12406, 3274, 96, 948, 104, 6355, 431, 104, 357, 121, 1, -100, -100, -100, ...
What was the outcome when the oppenent was serena williams venus williams and had a hard surface?
SELECT outcome FROM table_name_60 WHERE opponents_in_the_final = "serena williams venus williams" AND surface = "hard"
CREATE TABLE table_name_60 (outcome VARCHAR, opponents_in_the_final VARCHAR, surface VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 670, 287, 15, 584, 4280, 28027, 6, 16383, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 6, 1774, 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, 6138, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 16383, 834, 77, 834, 532, 834, 12406, 3274, 96, 7, 49, 35, 9, 56, 23, 265, 7, 3, 25116, 56, 23, 265, 7, 121, 3430, 1774, 3274, 96, 5651, 121, 1, -100, -...
How much Played has Drawn of 2, and a Position larger than 3, and Points smaller than 10?
SELECT COUNT(played) FROM table_name_1 WHERE drawn = 2 AND position > 3 AND points < 10
CREATE TABLE table_name_1 (played VARCHAR, points VARCHAR, drawn VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 4895, 15, 26, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 6796, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 4895, 15, 26, 61, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 6796, 3274, 204, 3430, 1102, 2490, 220, 3430, 979, 3, 2, 335, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which average Against has a Difference of 10, and a Lost smaller than 2?
SELECT AVG(against) FROM table_name_24 WHERE difference = "10" AND lost < 2
CREATE TABLE table_name_24 (against INTEGER, difference VARCHAR, lost VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 9, 16720, 7, 17, 3, 21342, 17966, 6, 1750, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1348, 3, 20749, 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, 71, 17217, 599, 9, 16720, 7, 17, 61, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 1750, 3274, 96, 1714, 121, 3430, 1513, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many Attendances have a Result F – A of 0 – 2, and a Date of 31 january 1903?
SELECT AVG(attendance) FROM table_name_71 WHERE result_f___a = "0 – 2" AND date = "31 january 1903"
CREATE TABLE table_name_71 (attendance INTEGER, result_f___a VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 15116, 663, 3, 21342, 17966, 6, 741, 834, 89, 834, 834, 834, 9, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 741, 834, 89, 834, 834, 834, 9, 3274, 96, 632, 3, 104, 204, 121, 3430, 833, 3274, 96, 3341, 3, 7066, 76, 1208, 957, 4928, 121, 1...
How many Attendances on 13 april 1903?
SELECT attendance FROM table_name_37 WHERE date = "13 april 1903"
CREATE TABLE table_name_37 (attendance VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 15116, 663, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 22497, 663, 7, 30, 1179, 3, 9, 2246, 40, 957, 4928...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 11364, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 833, 3274, 96, 2368, 3, 9, 2246, 40, 957, 4928, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many Attendances have a H / A of h on 7 march 1903?
SELECT MIN(attendance) FROM table_name_47 WHERE h___a = "h" AND date = "7 march 1903"
CREATE TABLE table_name_47 (attendance INTEGER, h___a VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 15116, 663, 3, 21342, 17966, 6, 3, 107, 834, 834, 834, 9, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 2249...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15116, 663, 61, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 3, 107, 834, 834, 834, 9, 3274, 96, 107, 121, 3430, 833, 3274, 96, 940, 10556, 957, 4928, 121, 1, -100, -100, -100, -100, -100, -10...
Which Opponent has a H / A of a, and a Result F – A of 2 – 0, and a Attendance larger than 30,000?
SELECT opponents FROM table_name_50 WHERE h___a = "a" AND result_f___a = "2 – 0" AND attendance > 30 OFFSET 000
CREATE TABLE table_name_50 (opponents VARCHAR, attendance VARCHAR, h___a VARCHAR, result_f___a VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 32, 102, 9977, 7, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 6, 3, 107, 834, 834, 834, 9, 584, 4280, 28027, 6, 741, 834, 89, 834, 834, 834, 9, 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, 16383, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 3, 107, 834, 834, 834, 9, 3274, 96, 9, 121, 3430, 741, 834, 89, 834, 834, 834, 9, 3274, 96, 357, 3, 104, 3, 632, 121, 3430, 11364, 2490, 604, 3, 15316, ...
When is The Opponents of lincoln city and a H / A of a?
SELECT date FROM table_name_31 WHERE opponents = "lincoln city" AND h___a = "a"
CREATE TABLE table_name_31 (date VARCHAR, opponents VARCHAR, h___a VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 5522, 584, 4280, 28027, 6, 16383, 584, 4280, 28027, 6, 3, 107, 834, 834, 834, 9, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 19, 37, 4495...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 16383, 3274, 96, 40, 77, 3297, 29, 690, 121, 3430, 3, 107, 834, 834, 834, 9, 3274, 96, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the score for the Dec 11 game?
SELECT score FROM table_name_83 WHERE december = 11
CREATE TABLE table_name_83 (score VARCHAR, december VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 7, 9022, 584, 4280, 28027, 6, 20, 75, 18247, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 21, 8, 4451, 850, 467, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 20, 75, 18247, 3274, 850, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which game has an opponent of Phoenix Coyotes and was before Dec 9?
SELECT AVG(game) FROM table_name_96 WHERE opponent = "phoenix coyotes" AND december < 9
CREATE TABLE table_name_96 (game INTEGER, opponent VARCHAR, december VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 7261, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 6, 20, 75, 18247, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 467, 65, 46, 15264, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 7261, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 15264, 3274, 96, 9553, 35, 2407, 576, 63, 32, 1422, 121, 3430, 20, 75, 18247, 3, 2, 668, 1, -100, -100, -100, -100, -100, -100, -100, -1...
What is the December game that led to an 11-13-5 record?
SELECT MAX(december) FROM table_name_9 WHERE record = "11-13-5"
CREATE TABLE table_name_9 (december INTEGER, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 221, 75, 18247, 3, 21342, 17966, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1882, 467, 24, 2237, 12, 46, 850, 2292, 1836...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 221, 75, 18247, 61, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 1368, 3274, 96, 2596, 13056, 18, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...