NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
What set 2 has a set 4 of 21-25?
SELECT set_2 FROM table_name_74 WHERE set_4 = "21-25"
CREATE TABLE table_name_74 (set_2 VARCHAR, set_4 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 2244, 834, 357, 584, 4280, 28027, 6, 356, 834, 591, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 356, 204, 65, 3, 9, 356, 314, 13, 1401, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 356, 834, 357, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 356, 834, 591, 3274, 96, 2658, 14855, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the score when set 3 was 26-28?
SELECT score FROM table_name_78 WHERE set_3 = "26-28"
CREATE TABLE table_name_78 (score VARCHAR, set_3 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 7, 9022, 584, 4280, 28027, 6, 356, 834, 519, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 116, 356, 220, 47, 2208, 18, 2577, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 356, 834, 519, 3274, 96, 2688, 18, 2577, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
When was set 3 of 18-25?
SELECT date FROM table_name_2 WHERE set_3 = "18-25"
CREATE TABLE table_name_2 (date VARCHAR, set_3 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 5522, 584, 4280, 28027, 6, 356, 834, 519, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 356, 220, 13, 507, 14855, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 356, 834, 519, 3274, 96, 2606, 14855, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who was the away captain with a result of Eng by 1 wkt?
SELECT away_captain FROM table_name_43 WHERE result = "eng by 1 wkt"
CREATE TABLE table_name_43 (away_captain VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 8006, 834, 4010, 17, 9, 77, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 550, 14268, 28, 3, 9, 741, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 550, 834, 4010, 17, 9, 77, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 741, 3274, 96, 4606, 57, 209, 3, 210, 157, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
On what date was the result Eng by 1 wkt?
SELECT date FROM table_name_79 WHERE result = "eng by 1 wkt"
CREATE TABLE table_name_79 (date VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 5522, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 125, 833, 47, 8, 741, 19650, 57, 209, 3, 210, 157, 17, 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, 833, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 741, 3274, 96, 4606, 57, 209, 3, 210, 157, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
On what date was Arthur Jones the away captain at Sydney Cricket Ground?
SELECT date FROM table_name_33 WHERE away_captain = "arthur jones" AND venue = "sydney cricket ground"
CREATE TABLE table_name_33 (date VARCHAR, away_captain VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 5522, 584, 4280, 28027, 6, 550, 834, 4010, 17, 9, 77, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 125, 833, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 550, 834, 4010, 17, 9, 77, 3274, 96, 10702, 450, 3, 1927, 1496, 121, 3430, 5669, 3274, 96, 7, 63, 26, 3186, 18096, 1591, 121, 1, -100, -100, -100, -100, -100...
What is the highest place for song that was draw number 6?
SELECT MAX(place) FROM table_name_83 WHERE draw = 6
CREATE TABLE table_name_83 (place INTEGER, draw VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 4687, 3, 21342, 17966, 6, 3314, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 286, 21, 2324, 24, 47, 3314, 381, 431, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4687, 61, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 3314, 3274, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the result of the game on November 6, 1988?
SELECT result FROM table_name_61 WHERE date = "november 6, 1988"
CREATE TABLE table_name_61 (result VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 741, 13, 8, 467, 30, 1671, 8580, 10414, 58,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 833, 3274, 96, 5326, 18247, 8580, 10414, 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 against the Los Angeles Rams?
SELECT date FROM table_name_60 WHERE opponent = "los angeles rams"
CREATE TABLE table_name_60 (date VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 5522, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 833, 13, 8, 467, 581, 8, 3144, 4975, 4425, 7, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 15264, 3274, 96, 2298, 11831, 15, 7, 3, 2375, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total with a 25-19 set 2 on Jun 17?
SELECT total FROM table_name_57 WHERE set_2 = "25-19" AND date = "jun 17"
CREATE TABLE table_name_57 (total VARCHAR, set_2 VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 235, 1947, 584, 4280, 28027, 6, 356, 834, 357, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, 28, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 792, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 356, 834, 357, 3274, 96, 1828, 4481, 121, 3430, 833, 3274, 96, 6959, 1003, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the set 4 with a 2-3 score?
SELECT set_4 FROM table_name_73 WHERE score = "2-3"
CREATE TABLE table_name_73 (set_4 VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 2244, 834, 591, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 356, 314, 28, 3, 9, 10948, 2604, 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, 356, 834, 591, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 2604, 3274, 96, 357, 3486, 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 set 5 with a 19-25 set 1?
SELECT set_5 FROM table_name_44 WHERE set_1 = "19-25"
CREATE TABLE table_name_44 (set_5 VARCHAR, set_1 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 2244, 834, 755, 584, 4280, 28027, 6, 356, 834, 536, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 356, 305, 28, 3, 9, 957, 14855, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 356, 834, 755, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 356, 834, 536, 3274, 96, 2294, 14855, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the set 1 with a 28-30 set 4?
SELECT set_1 FROM table_name_67 WHERE set_4 = "28-30"
CREATE TABLE table_name_67 (set_1 VARCHAR, set_4 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 2244, 834, 536, 584, 4280, 28027, 6, 356, 834, 591, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 356, 209, 28, 3, 9, 2059, 10086, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 356, 834, 536, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 356, 834, 591, 3274, 96, 2577, 10086, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the result when there's less than 2 goals?
SELECT result FROM table_name_46 WHERE goal < 2
CREATE TABLE table_name_46 (result VARCHAR, goal INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 1288, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 741, 116, 132, 31, 7, 705, 145, 204, 1766, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 1288, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the score when there are less than 2 goals?
SELECT score FROM table_name_18 WHERE goal < 2
CREATE TABLE table_name_18 (score VARCHAR, goal INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 7, 9022, 584, 4280, 28027, 6, 1288, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 116, 132, 33, 705, 145, 204, 1766, 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, 2606, 549, 17444, 427, 1288, 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, -1...
How many points on average had a position smaller than 8, 16 plays, and a lost larger than 9?
SELECT AVG(points) FROM table_name_20 WHERE position < 8 AND played = 16 AND lost > 9
CREATE TABLE table_name_20 (points INTEGER, lost VARCHAR, position VARCHAR, played VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 2700, 7, 3, 21342, 17966, 6, 1513, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 1944, 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, 2700, 7, 61, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 1102, 3, 2, 505, 3430, 1944, 3274, 898, 3430, 1513, 2490, 668, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the lowest Attendance when the Opponent was Maryland?
SELECT MIN(attendance) FROM table_name_4 WHERE opponent = "maryland"
CREATE TABLE table_name_4 (attendance INTEGER, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 15116, 663, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 7402, 22497, 663, 116, 8, 4495, 9977, 47, 10271, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 15264, 3274, 96, 1635, 28900, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Network has a Local name of moj tata je bolji od tvog tate?
SELECT network FROM table_name_56 WHERE local_name = "moj tata je bolji od tvog tate"
CREATE TABLE table_name_56 (network VARCHAR, local_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 1582, 1981, 584, 4280, 28027, 6, 415, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 3426, 65, 3, 9, 4593, 564, 13, 2288, 354, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 1229, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 415, 834, 4350, 3274, 96, 51, 32, 354, 3, 11564, 528, 3, 4243, 354, 23, 3, 32, 26, 3, 17, 1621, 122, 3, 4748, 121, 1, -100, -100, -100, -100, -100, -100, ...
Which Country has a Network of channel 1?
SELECT country FROM table_name_97 WHERE network = "channel 1"
CREATE TABLE table_name_97 (country VARCHAR, network VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 17529, 584, 4280, 28027, 6, 1229, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6993, 65, 3, 9, 3426, 13, 4245, 209, 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, 4327, 549, 17444, 427, 1229, 3274, 96, 19778, 209, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Country has a Network of nelonen?
SELECT country FROM table_name_61 WHERE network = "nelonen"
CREATE TABLE table_name_61 (country VARCHAR, network VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 17529, 584, 4280, 28027, 6, 1229, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6993, 65, 3, 9, 3426, 13, 3, 29, 15, 40, 106, 35, 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, 684, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 1229, 3274, 96, 29, 15, 40, 106, 35, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Local name has a Network of nova tv?
SELECT local_name FROM table_name_60 WHERE network = "nova tv"
CREATE TABLE table_name_60 (local_name VARCHAR, network VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 16882, 834, 4350, 584, 4280, 28027, 6, 1229, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4593, 564, 65, 3, 9, 3426, 13, 3, 14979, 3, 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, 415, 834, 4350, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 1229, 3274, 96, 14979, 3, 17, 208, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Local name has a Network of tvn?
SELECT local_name FROM table_name_36 WHERE network = "tvn"
CREATE TABLE table_name_36 (local_name VARCHAR, network VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 16882, 834, 4350, 584, 4280, 28027, 6, 1229, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4593, 564, 65, 3, 9, 3426, 13, 3, 17, 208, 29, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 415, 834, 4350, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 1229, 3274, 96, 17, 208, 29, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Country has a Host of miguel esteban?
SELECT country FROM table_name_18 WHERE host = "miguel esteban"
CREATE TABLE table_name_18 (country VARCHAR, host VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 17529, 584, 4280, 28027, 6, 2290, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6993, 65, 3, 9, 1546, 7, 17, 13, 3, 51, 15795, 40, 249, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 684, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 2290, 3274, 96, 51, 15795, 40, 249, 3478, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Can you tell me the lowest Chapter that has the Pinyin of dehua, and the Articles smaller than 16?
SELECT MIN(chapter) FROM table_name_54 WHERE pinyin = "dehua" AND articles < 16
CREATE TABLE table_name_54 (chapter INTEGER, pinyin VARCHAR, articles VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 524, 6789, 49, 3, 21342, 17966, 6, 4522, 63, 77, 584, 4280, 28027, 6, 2984, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1072, 25, 817, 140, 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, 3, 17684, 599, 524, 6789, 49, 61, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 4522, 63, 77, 3274, 96, 221, 107, 76, 9, 121, 3430, 2984, 3, 2, 898, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Can you tell me the average Chapter that has Articles smaller than 15?
SELECT AVG(chapter) FROM table_name_48 WHERE articles < 15
CREATE TABLE table_name_48 (chapter INTEGER, articles INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 524, 6789, 49, 3, 21342, 17966, 6, 2984, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 1072, 25, 817, 140, 8, 1348, 8647, 24, 65, 7491, 7, 2755, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 524, 6789, 49, 61, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 2984, 3, 2, 627, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Can you tell me the Chinese that has the Chapter larger than 4, and the English Translation of food transformations?
SELECT chinese FROM table_name_7 WHERE chapter > 4 AND english_translation = "food transformations"
CREATE TABLE table_name_7 (chinese VARCHAR, chapter VARCHAR, english_translation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 1436, 1496, 15, 584, 4280, 28027, 6, 5800, 584, 4280, 28027, 6, 22269, 834, 7031, 6105, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1072, 25, 817...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1436, 1496, 15, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 5800, 2490, 314, 3430, 22269, 834, 7031, 6105, 3274, 96, 12437, 6586, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Can you tell me the English Translation that has the Articles of 24?
SELECT english_translation FROM table_name_44 WHERE articles = 24
CREATE TABLE table_name_44 (english_translation VARCHAR, articles VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 4606, 40, 1273, 834, 7031, 6105, 584, 4280, 28027, 6, 2984, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1072, 25, 817, 140, 8, 1566, 24527, 24, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 22269, 834, 7031, 6105, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 2984, 3274, 997, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What shows for ICAO when the IATA is sin?
SELECT icao FROM table_name_83 WHERE iata = "sin"
CREATE TABLE table_name_83 (icao VARCHAR, iata VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 2617, 32, 584, 4280, 28027, 6, 3, 17221, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1267, 21, 3, 15038, 667, 116, 8, 27, 19282, 19, 3731...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 2617, 32, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 3, 17221, 3274, 96, 7, 77, 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 IATA when France was the country, and the ICAO was lfrn?
SELECT iata FROM table_name_72 WHERE country = "france" AND icao = "lfrn"
CREATE TABLE table_name_72 (iata VARCHAR, country VARCHAR, icao VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 17221, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 3, 2617, 32, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 27, 19282, 116, 141...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17221, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 684, 3274, 96, 89, 5219, 121, 3430, 3, 2617, 32, 3274, 96, 40, 89, 52, 29, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the Airport when France was the country, and Montpellier was the city?
SELECT airport FROM table_name_82 WHERE country = "france" AND city = "montpellier"
CREATE TABLE table_name_82 (airport VARCHAR, country VARCHAR, city VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 2256, 1493, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 690, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 5735, 116, 1410, 47, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3761, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 684, 3274, 96, 89, 5219, 121, 3430, 690, 3274, 96, 4662, 4343, 3299, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the ICAO for luqa airport?
SELECT icao FROM table_name_66 WHERE airport = "luqa airport"
CREATE TABLE table_name_66 (icao VARCHAR, airport VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 2617, 32, 584, 4280, 28027, 6, 3761, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 15038, 667, 21, 3, 40, 76, 1824, 9, 3761, 58...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 2617, 32, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 3761, 3274, 96, 40, 76, 1824, 9, 3761, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the Airport for New York City?
SELECT airport FROM table_name_30 WHERE city = "new york"
CREATE TABLE table_name_30 (airport VARCHAR, city VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 2256, 1493, 584, 4280, 28027, 6, 690, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 5735, 21, 368, 1060, 896, 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, 3761, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 690, 3274, 96, 5534, 25453, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Country when the IATA was osl?
SELECT country FROM table_name_94 WHERE iata = "osl"
CREATE TABLE table_name_94 (country VARCHAR, iata VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 17529, 584, 4280, 28027, 6, 3, 17221, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 6993, 116, 8, 27, 19282, 47, 3, 32, 7, 40, 58,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 3, 17221, 3274, 96, 32, 7, 40, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Division has a Year larger than 1996,a Regular Season of 4th, and a Playoffs of final?
SELECT division FROM table_name_76 WHERE year > 1996 AND regular_season = "4th" AND playoffs = "final"
CREATE TABLE table_name_76 (division VARCHAR, playoffs VARCHAR, year VARCHAR, regular_season VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 26, 23, 6610, 584, 4280, 28027, 6, 15289, 7, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 1646, 834, 9476, 584, 4280, 28027, 61, 3, 32105, 32106, 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, 4889, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 215, 2490, 6911, 3430, 1646, 834, 9476, 3274, 96, 591, 189, 121, 3430, 15289, 7, 3274, 96, 12406, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which League that has a Open Cup of 1st round, and a Year of 2009?
SELECT league FROM table_name_99 WHERE open_cup = "1st round" AND year = 2009
CREATE TABLE table_name_99 (league VARCHAR, open_cup VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 29512, 584, 4280, 28027, 6, 539, 834, 4658, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 3815, 24, 65, 3, 9, 23...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5533, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 539, 834, 4658, 3274, 96, 536, 7, 17, 1751, 121, 3430, 215, 3274, 2464, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Playoffs has a Division of 2 and a Regular Season of 4th, southeast?
SELECT playoffs FROM table_name_50 WHERE division = "2" AND regular_season = "4th, southeast"
CREATE TABLE table_name_50 (playoffs VARCHAR, division VARCHAR, regular_season VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 4895, 1647, 7, 584, 4280, 28027, 6, 4889, 584, 4280, 28027, 6, 1646, 834, 9476, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2911, 1647, 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...
[ 3, 23143, 14196, 15289, 7, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 4889, 3274, 96, 357, 121, 3430, 1646, 834, 9476, 3274, 96, 591, 189, 6, 26181, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What are the least amount of points that have points for greater than 438, and points against greater than 943?
SELECT MIN(points) FROM table_name_6 WHERE points_for > 438 AND points_against > 943
CREATE TABLE table_name_6 (points INTEGER, points_for VARCHAR, points_against VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 2700, 7, 3, 21342, 17966, 6, 979, 834, 1161, 584, 4280, 28027, 6, 979, 834, 9, 16720, 7, 17, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 979, 834, 1161, 2490, 314, 3747, 3430, 979, 834, 9, 16720, 7, 17, 2490, 668, 4906, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
What are the highest losses that have points agaisnt less than 956, high park demons as the club, and points less than 16?
SELECT MAX(loses) FROM table_name_93 WHERE points_against < 956 AND club = "high park demons" AND points < 16
CREATE TABLE table_name_93 (loses INTEGER, points VARCHAR, points_against VARCHAR, club VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 10227, 7, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 6, 979, 834, 9, 16720, 7, 17, 584, 4280, 28027, 6, 1886, 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, 4800, 4, 599, 10227, 7, 61, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 979, 834, 9, 16720, 7, 17, 3, 2, 668, 4834, 3430, 1886, 3274, 96, 6739, 2447, 20, 2157, 7, 121, 3430, 979, 3, 2, 898, 1, -100, -10...
What club has losses greater than 1, 4 for the wins, with points against less than 894?
SELECT club FROM table_name_83 WHERE loses > 1 AND wins = 4 AND points_against < 894
CREATE TABLE table_name_83 (club VARCHAR, points_against VARCHAR, loses VARCHAR, wins VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 13442, 584, 4280, 28027, 6, 979, 834, 9, 16720, 7, 17, 584, 4280, 28027, 6, 2615, 7, 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, 1886, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 2615, 7, 2490, 209, 3430, 9204, 3274, 314, 3430, 979, 834, 9, 16720, 7, 17, 3, 2, 505, 4240, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many losses have points against greater than 592, with high park demons as the club, and points for greater than 631?
SELECT COUNT(loses) FROM table_name_45 WHERE points_against > 592 AND club = "high park demons" AND points_for > 631
CREATE TABLE table_name_45 (loses VARCHAR, points_for VARCHAR, points_against VARCHAR, club VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 10227, 7, 584, 4280, 28027, 6, 979, 834, 1161, 584, 4280, 28027, 6, 979, 834, 9, 16720, 7, 17, 584, 4280, 28027, 6, 1886, 584, 4280, 28027, 61, 3, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 10227, 7, 61, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 979, 834, 9, 16720, 7, 17, 2490, 305, 4508, 3430, 1886, 3274, 96, 6739, 2447, 20, 2157, 7, 121, 3430, 979, 834, 1161, 2490, 431, 3...
What losses have points for less than 1175, wins greater than 2, points against greater than 894, and 24 as the points?
SELECT loses FROM table_name_84 WHERE points_for < 1175 AND wins > 2 AND points_against > 894 AND points = 24
CREATE TABLE table_name_84 (loses VARCHAR, points VARCHAR, points_against VARCHAR, points_for VARCHAR, wins VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 10227, 7, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 979, 834, 9, 16720, 7, 17, 584, 4280, 28027, 6, 979, 834, 1161, 584, 4280, 28027, 6, 9204, 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, 2615, 7, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 979, 834, 1161, 3, 2, 850, 3072, 3430, 9204, 2490, 204, 3430, 979, 834, 9, 16720, 7, 17, 2490, 505, 4240, 3430, 979, 3274, 997, 1, -100, -100, -100, -100...
What's the smallest track written by dennis linde that's 2:50 minutes long
SELECT MIN(track) FROM table_name_37 WHERE writer_s_ = "dennis linde" AND time = "2:50"
CREATE TABLE table_name_37 (track INTEGER, writer_s_ VARCHAR, time VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 11991, 3, 21342, 17966, 6, 4346, 834, 7, 834, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 3, 17924, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 11991, 61, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 4346, 834, 7, 834, 3274, 96, 537, 29, 159, 3, 9230, 15, 121, 3430, 97, 3274, 96, 357, 10, 1752, 121, 1, -100, -100, -100, -100, -100, ...
How long is the song titled burning love?
SELECT time FROM table_name_54 WHERE song_title = "burning love"
CREATE TABLE table_name_54 (time VARCHAR, song_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 715, 584, 4280, 28027, 6, 2324, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 307, 19, 8, 2324, 3, 10920, 9706, 333, 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, 97, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 2324, 834, 21869, 3274, 96, 7223, 53, 333, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
When was the song titled if you talk in your sleep released?
SELECT release_date FROM table_name_34 WHERE song_title = "if you talk in your sleep"
CREATE TABLE table_name_34 (release_date VARCHAR, song_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 21019, 834, 5522, 584, 4280, 28027, 6, 2324, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 8, 2324, 3, 10920, 3, 99, 25, 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, 1576, 834, 5522, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 2324, 834, 21869, 3274, 96, 99, 25, 1350, 16, 39, 2085, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the city that is located in California when the year is greater than 2009?
SELECT city FROM table_name_46 WHERE state = "california" AND year > 2009
CREATE TABLE table_name_46 (city VARCHAR, state VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 6726, 584, 4280, 28027, 6, 538, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 690, 24, 19, 1069, 16, 1826,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 690, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 538, 3274, 96, 15534, 1161, 29, 23, 9, 121, 3430, 215, 2490, 2464, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the host in a year greater than 1989 and when the venue is the Staples Center located in California?
SELECT host FROM table_name_12 WHERE year > 1989 AND state = "california" AND venue = "staples center"
CREATE TABLE table_name_12 (host VARCHAR, venue VARCHAR, year VARCHAR, state VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 12675, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 538, 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, 2290, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 215, 2490, 9975, 3430, 538, 3274, 96, 15534, 1161, 29, 23, 9, 121, 3430, 5669, 3274, 96, 7, 8873, 965, 1530, 121, 1, -100, -100, -100, -100, -100, -100, -100,...
What is the venue in 2011, when the state is California?
SELECT venue FROM table_name_5 WHERE state = "california" AND year = 2011
CREATE TABLE table_name_5 (venue VARCHAR, state VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 15098, 584, 4280, 28027, 6, 538, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 5669, 16, 8558, 116, 8, 538,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5669, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 538, 3274, 96, 15534, 1161, 29, 23, 9, 121, 3430, 215, 3274, 2722, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the wards/branches of the fort smith Arkansas stake?
SELECT wards__branches_in_arkansas FROM table_name_89 WHERE stake = "fort smith arkansas"
CREATE TABLE table_name_89 (wards__branches_in_arkansas VARCHAR, stake VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 2239, 7, 834, 834, 21016, 7, 834, 77, 834, 6604, 3247, 9, 7, 584, 4280, 28027, 6, 8474, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 2239, 7, 834, 834, 21016, 7, 834, 77, 834, 6604, 3247, 9, 7, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 8474, 3274, 96, 1161, 17, 3, 16331, 3, 6604, 3247, 9, 7, 121, 1, -100, -100, -100, -100, -100, ...
What stake has realtor for American equity realty as their occupation?
SELECT stake FROM table_name_98 WHERE occupation = "realtor for american equity realty"
CREATE TABLE table_name_98 (stake VARCHAR, occupation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 7, 4914, 584, 4280, 28027, 6, 13792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 8474, 65, 30432, 21, 797, 8408, 490, 17, 63, 38, 70, 137...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8474, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 13792, 3274, 96, 6644, 17, 127, 21, 10211, 8408, 490, 17, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the organized date of the stake with an occupation of senior buyer for Wal-mart?
SELECT organized FROM table_name_67 WHERE occupation = "senior buyer for wal-mart"
CREATE TABLE table_name_67 (organized VARCHAR, occupation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 28006, 584, 4280, 28027, 6, 13792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4997, 833, 13, 8, 8474, 28, 46, 13792, 13, 2991, 80...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4997, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 13792, 3274, 96, 7, 35, 23, 127, 8001, 21, 3, 5380, 18, 1635, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the sum of the wards/branches in Arkansas of the North Little Rock Arkansas stake?
SELECT SUM(wards__branches_in_arkansas) FROM table_name_93 WHERE stake = "north little rock arkansas"
CREATE TABLE table_name_93 (wards__branches_in_arkansas INTEGER, stake VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 2239, 7, 834, 834, 21016, 7, 834, 77, 834, 6604, 3247, 9, 7, 3, 21342, 17966, 6, 8474, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 2239, 7, 834, 834, 21016, 7, 834, 77, 834, 6604, 3247, 9, 7, 61, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 8474, 3274, 96, 29, 127, 189, 385, 2480, 3, 6604, 3247, 9, 7, 121, 1, -100, -...
What stake has 16 wards/branches in Arkansas?
SELECT stake FROM table_name_97 WHERE wards__branches_in_arkansas = 16
CREATE TABLE table_name_97 (stake VARCHAR, wards__branches_in_arkansas VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 7, 4914, 584, 4280, 28027, 6, 3, 2239, 7, 834, 834, 21016, 7, 834, 77, 834, 6604, 3247, 9, 7, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 8474, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 3, 2239, 7, 834, 834, 21016, 7, 834, 77, 834, 6604, 3247, 9, 7, 3274, 898, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Stable, when Current Rank is F1 Jūryō 14 West?
SELECT stable FROM table_name_59 WHERE current_rank = "f1 jūryō 14 west"
CREATE TABLE table_name_59 (stable VARCHAR, current_rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 7, 3869, 584, 4280, 28027, 6, 750, 834, 6254, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 472, 179, 6, 116, 12892, 3, 22557, 19, 377,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5711, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 750, 834, 6254, 3274, 96, 89, 536, 3, 354, 2, 651, 2, 968, 4653, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Ring Name, when Current Rank is E0 Maegashira 9 West?
SELECT ring_name FROM table_name_48 WHERE current_rank = "e0 maegashira 9 west"
CREATE TABLE table_name_48 (ring_name VARCHAR, current_rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 1007, 834, 4350, 584, 4280, 28027, 6, 750, 834, 6254, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 7888, 5570, 6, 116, 12892, 3, 22557, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 1007, 834, 4350, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 750, 834, 6254, 3274, 96, 15, 632, 954, 15, 5556, 9288, 9, 668, 4653, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Birthplace, when Ring Name is Masunoyama Tomoharu?
SELECT birthplace FROM table_name_70 WHERE ring_name = "masunoyama tomoharu"
CREATE TABLE table_name_70 (birthplace VARCHAR, ring_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 20663, 4687, 584, 4280, 28027, 6, 3, 1007, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 26337, 4687, 6, 116, 7888, 5570, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3879, 4687, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 3, 1007, 834, 4350, 3274, 96, 2754, 202, 32, 22990, 12, 51, 32, 3272, 76, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is Current Rank, when Ring Name is Tamaasuka Daisuke?
SELECT current_rank FROM table_name_4 WHERE ring_name = "tamaasuka daisuke"
CREATE TABLE table_name_4 (current_rank VARCHAR, ring_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 14907, 834, 6254, 584, 4280, 28027, 6, 3, 1007, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 12892, 3, 22557, 6, 116, 7888, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 750, 834, 6254, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 3, 1007, 834, 4350, 3274, 96, 22713, 9, 7, 1598, 9, 836, 159, 1598, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is Ring Name, when Stable is Kasugano, and when Birthplace is Z Mtskheta , Georgia?
SELECT ring_name FROM table_name_49 WHERE stable = "kasugano" AND birthplace = "z mtskheta , georgia"
CREATE TABLE table_name_49 (ring_name VARCHAR, stable VARCHAR, birthplace VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 1007, 834, 4350, 584, 4280, 28027, 6, 5711, 584, 4280, 28027, 6, 3879, 4687, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 7888, 5570, 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, 1, 1...
[ 3, 23143, 14196, 3, 1007, 834, 4350, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 5711, 3274, 96, 1258, 7, 76, 2565, 32, 121, 3430, 3879, 4687, 3274, 96, 172, 3, 51, 17, 7, 157, 88, 17, 9, 3, 6, 873, 1677, 23, 9, 121, ...
What is Current Rank, when Ring Name is Kimurayama Mamoru?
SELECT current_rank FROM table_name_63 WHERE ring_name = "kimurayama mamoru"
CREATE TABLE table_name_63 (current_rank VARCHAR, ring_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 14907, 834, 6254, 584, 4280, 28027, 6, 3, 1007, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 12892, 3, 22557, 6, 116, 7888, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 750, 834, 6254, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 3, 1007, 834, 4350, 3274, 96, 19754, 2414, 22990, 954, 2528, 76, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the Interview Subject on the Date when there were Pictorials of Christie Brinkley?
SELECT interview_subject FROM table_name_89 WHERE pictorials = "christie brinkley"
CREATE TABLE table_name_89 (interview_subject VARCHAR, pictorials VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 3870, 4576, 834, 7304, 11827, 584, 4280, 28027, 6, 6686, 17, 11929, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 14001, 19237, 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, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2772, 834, 7304, 11827, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 6686, 17, 11929, 7, 3274, 96, 15294, 23, 15, 25799, 157, 1306, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
In the issue in which the Interview subject was Jesse Jackson, who were there Pictorials of?
SELECT pictorials FROM table_name_84 WHERE interview_subject = "jesse jackson"
CREATE TABLE table_name_84 (pictorials VARCHAR, interview_subject VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 6174, 17, 11929, 7, 584, 4280, 28027, 6, 2772, 834, 7304, 11827, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 8, 962, 16, 84, 8, 14001, 142...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6686, 17, 11929, 7, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 2772, 834, 7304, 11827, 3274, 96, 354, 6119, 3, 9325, 739, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the Centerfold model in the issue in which the Interview subject was Paul Simon?
SELECT centerfold_model FROM table_name_68 WHERE interview_subject = "paul simon"
CREATE TABLE table_name_68 (centerfold_model VARCHAR, interview_subject VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 13866, 10533, 834, 21770, 584, 4280, 28027, 6, 2772, 834, 7304, 11827, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 1166, 10533, 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, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1530, 10533, 834, 21770, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 2772, 834, 7304, 11827, 3274, 96, 102, 9, 83, 108, 2157, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who was the Centerfold model in the issue in which the Interview subject was José Napoleón Duarte?
SELECT centerfold_model FROM table_name_96 WHERE interview_subject = "josé napoleón duarte"
CREATE TABLE table_name_96 (centerfold_model VARCHAR, interview_subject VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 13866, 10533, 834, 21770, 584, 4280, 28027, 6, 2772, 834, 7304, 11827, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 1166, 10533, 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, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1530, 10533, 834, 21770, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 2772, 834, 7304, 11827, 3274, 96, 1927, 7, 154, 3, 29, 9, 14332, 15742, 146, 1408, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -1...
Who was the Cover model in the issue in which the Interview subject was Joan Collins?
SELECT cover_model FROM table_name_67 WHERE interview_subject = "joan collins"
CREATE TABLE table_name_67 (cover_model VARCHAR, interview_subject VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 9817, 834, 21770, 584, 4280, 28027, 6, 2772, 834, 7304, 11827, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 5620, 825, 16, 8, 962, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1189, 834, 21770, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 2772, 834, 7304, 11827, 3274, 96, 1927, 152, 8029, 77, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which date has a round more than 9?
SELECT date FROM table_name_85 WHERE round > 9
CREATE TABLE table_name_85 (date VARCHAR, round INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 5522, 584, 4280, 28027, 6, 1751, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 4073, 833, 65, 3, 9, 1751, 72, 145, 668, 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, 4433, 549, 17444, 427, 1751, 2490, 668, 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,...
Who is the driver that one for the winning tpc team qi-meritus that has a round more than 8?
SELECT winning_driver FROM table_name_76 WHERE winning_team = "tpc team qi-meritus" AND round > 8
CREATE TABLE table_name_76 (winning_driver VARCHAR, winning_team VARCHAR, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 8163, 834, 13739, 52, 584, 4280, 28027, 6, 3447, 834, 11650, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 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, 3447, 834, 13739, 52, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 3447, 834, 11650, 3274, 96, 17, 102, 75, 372, 3, 1824, 23, 18, 935, 155, 302, 121, 3430, 1751, 2490, 505, 1, -100, -100, -100, -100, -100, -...
What is the time of 12 December 2009 with record start?
SELECT time FROM table_name_81 WHERE record = "start" AND date = "12 december 2009"
CREATE TABLE table_name_81 (time VARCHAR, record VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 715, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 97, 13, 586, 1882, 2464, 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, 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, 4959, 549, 17444, 427, 1368, 3274, 96, 10208, 121, 3430, 833, 3274, 96, 2122, 20, 75, 18247, 2464, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Elizabeth Yarnold's nation?
SELECT nation FROM table_name_70 WHERE athlete_s_ = "elizabeth yarnold"
CREATE TABLE table_name_70 (nation VARCHAR, athlete_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 29, 257, 584, 4280, 28027, 6, 17893, 834, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 9066, 4701, 52, 29, 1490, 31, 7, 2982, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2982, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 17893, 834, 7, 834, 3274, 96, 15, 13287, 9, 346, 189, 14313, 1490, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What country is the Jiufotang Formation located in?
SELECT location FROM table_name_59 WHERE unit = "jiufotang formation"
CREATE TABLE table_name_59 (location VARCHAR, unit VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 14836, 584, 4280, 28027, 6, 1745, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 684, 19, 8, 7802, 76, 89, 32, 8967, 25947, 1069, 16, 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, 1128, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 1745, 3274, 96, 354, 23, 76, 89, 32, 8967, 3239, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which author is located in Mexico?
SELECT authors FROM table_name_73 WHERE location = "mexico"
CREATE TABLE table_name_73 (authors VARCHAR, location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 17415, 7, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2291, 19, 1069, 16, 4726, 58, 1, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5921, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 1128, 3274, 96, 51, 994, 5807, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Where is wang li duan cheng located?
SELECT location FROM table_name_3 WHERE authors = "wang li duan cheng"
CREATE TABLE table_name_3 (location VARCHAR, authors VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 14836, 584, 4280, 28027, 6, 5921, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 19, 3, 17789, 3, 40, 23, 146, 152, 3, 1559, 122, 1069, 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, 1128, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 5921, 3274, 96, 17789, 3, 40, 23, 146, 152, 3, 1559, 122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the status of the pterosaur named Cathayopterus?
SELECT status FROM table_name_40 WHERE name = "cathayopterus"
CREATE TABLE table_name_40 (status VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 8547, 302, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2637, 13, 8, 3, 102, 449, 32, 7, 9, 450, 2650, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2637, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 564, 3274, 96, 2138, 12687, 19893, 302, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Years in Orlando has a School/Club Team of texas tech?
SELECT years_in_orlando FROM table_name_74 WHERE school_club_team = "texas tech"
CREATE TABLE table_name_74 (years_in_orlando VARCHAR, school_club_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 1201, 7, 834, 77, 834, 32, 7721, 32, 584, 4280, 28027, 6, 496, 834, 13442, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 13825, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 203, 834, 77, 834, 32, 7721, 32, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 496, 834, 13442, 834, 11650, 3274, 96, 10354, 9, 7, 5256, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Nationality has a Player of keith bogans, and a Years in Orlando of 2006–2009?
SELECT nationality FROM table_name_57 WHERE player = "keith bogans" AND years_in_orlando = "2006–2009"
CREATE TABLE table_name_57 (nationality VARCHAR, player VARCHAR, years_in_orlando VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 16557, 485, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 6, 203, 834, 77, 834, 32, 7721, 32, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1157, 485, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 1959, 3274, 96, 5754, 107, 3, 12247, 3247, 121, 3430, 203, 834, 77, 834, 32, 7721, 32, 3274, 96, 21196, 104, 16660, 121, 1, -100, -100, -100, -100, -100,...
What is Pat Burke's Nationality?
SELECT nationality FROM table_name_34 WHERE player = "pat burke"
CREATE TABLE table_name_34 (nationality VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 16557, 485, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 5192, 27575, 31, 7, 868, 485, 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, 1157, 485, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 1959, 3274, 96, 4665, 7018, 1050, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which School/Club Team has a Player of michael bradley?
SELECT school_club_team FROM table_name_36 WHERE player = "michael bradley"
CREATE TABLE table_name_36 (school_club_team VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 6646, 834, 13442, 834, 11650, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1121, 87, 254, 11158, 2271, 65, 3, 9,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 496, 834, 13442, 834, 11650, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 1959, 3274, 96, 51, 362, 9, 15, 40, 3858, 26, 1306, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Years in Orlando has a School/Club Team of kentucky?
SELECT years_in_orlando FROM table_name_96 WHERE school_club_team = "kentucky"
CREATE TABLE table_name_96 (years_in_orlando VARCHAR, school_club_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 1201, 7, 834, 77, 834, 32, 7721, 32, 584, 4280, 28027, 6, 496, 834, 13442, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 13825, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 203, 834, 77, 834, 32, 7721, 32, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 496, 834, 13442, 834, 11650, 3274, 96, 2217, 17, 4636, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which School/Club Team has a Player of jud buechler?
SELECT school_club_team FROM table_name_16 WHERE player = "jud buechler"
CREATE TABLE table_name_16 (school_club_team VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 6646, 834, 13442, 834, 11650, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1121, 87, 254, 11158, 2271, 65, 3, 9,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 496, 834, 13442, 834, 11650, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 1959, 3274, 96, 14312, 8524, 10217, 1171, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the position for years under 1999?
SELECT pos FROM table_name_2 WHERE year < 1999
CREATE TABLE table_name_2 (pos VARCHAR, year INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 2748, 584, 4280, 28027, 6, 215, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1102, 21, 203, 365, 5247, 58, 1, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 2748, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 215, 3, 2, 5247, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average year for Team Oreca?
SELECT AVG(year) FROM table_name_46 WHERE team = "team oreca"
CREATE TABLE table_name_46 (year INTEGER, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 1201, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 215, 21, 2271, 955, 15, 658, 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, 71, 17217, 599, 1201, 61, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 372, 3274, 96, 11650, 42, 15, 658, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Position has an Against larger than 17, and a Team of juventus, and a Drawn smaller than 4?
SELECT MIN(position) FROM table_name_50 WHERE against > 17 AND team = "juventus" AND drawn < 4
CREATE TABLE table_name_50 (position INTEGER, drawn VARCHAR, against VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 4718, 3, 21342, 17966, 6, 6796, 584, 4280, 28027, 6, 581, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 14258, 65,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 4718, 61, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 581, 2490, 1003, 3430, 372, 3274, 96, 354, 4348, 302, 121, 3430, 6796, 3, 2, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Lost has an Against of 49 and a Played smaller than 20?
SELECT COUNT(lost) FROM table_name_63 WHERE against = 49 AND played < 20
CREATE TABLE table_name_63 (lost VARCHAR, against VARCHAR, played VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 2298, 17, 584, 4280, 28027, 6, 581, 584, 4280, 28027, 6, 1944, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 19576, 65, 46, 3, 20749, 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, 2847, 17161, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 581, 3274, 9526, 3430, 1944, 3, 2, 460, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In which championship had a previous champion of "defeated Justin Corino in tournament final"?
SELECT championship FROM table_name_69 WHERE previous_champion_s_ = "defeated justin corino in tournament final"
CREATE TABLE table_name_69 (championship VARCHAR, previous_champion_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 17788, 12364, 2009, 584, 4280, 28027, 6, 1767, 834, 17788, 12364, 834, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 84, 10183, 141, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 10183, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 1767, 834, 17788, 12364, 834, 7, 834, 3274, 96, 221, 89, 15, 920, 131, 77, 4301, 77, 32, 16, 5892, 804, 121, 1, -100, -100, -100, -100, -100, -100, -100, -...
Which location had previous champions of Mike Webb and Nick Fahrenheit?
SELECT location FROM table_name_93 WHERE previous_champion_s_ = "mike webb and nick fahrenheit"
CREATE TABLE table_name_93 (location VARCHAR, previous_champion_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 14836, 584, 4280, 28027, 6, 1767, 834, 17788, 12364, 834, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1128, 141, 1767, 6336, 7, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 1767, 834, 17788, 12364, 834, 7, 834, 3274, 96, 20068, 15, 765, 115, 11, 3, 11191, 3, 7844, 4474, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who were the previous champions from the event won on May 1, 2010?
SELECT previous_champion_s_ FROM table_name_40 WHERE date_won = "may 1, 2010"
CREATE TABLE table_name_40 (previous_champion_s_ VARCHAR, date_won VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 2026, 19117, 834, 17788, 12364, 834, 7, 834, 584, 4280, 28027, 6, 833, 834, 210, 106, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 130, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1767, 834, 17788, 12364, 834, 7, 834, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 833, 834, 210, 106, 3274, 96, 13726, 1914, 2735, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who is the current champion for the event in Beverly, MA, with previous champions of Mike Webb and Nick Fahrenheit?
SELECT current_champion_s_ FROM table_name_19 WHERE location = "beverly, ma" AND previous_champion_s_ = "mike webb and nick fahrenheit"
CREATE TABLE table_name_19 (current_champion_s_ VARCHAR, location VARCHAR, previous_champion_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 14907, 834, 17788, 12364, 834, 7, 834, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 6, 1767, 834, 17788, 12364, 834, 7, 834, 584, 4280, 28027, 61, 3, 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, 750, 834, 17788, 12364, 834, 7, 834, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 1128, 3274, 96, 346, 624, 120, 6, 954, 121, 3430, 1767, 834, 17788, 12364, 834, 7, 834, 3274, 96, 20068, 15, 765, 115, 11, 3,...
Who is the current champion in the NECW Heavyweight Championship?
SELECT current_champion_s_ FROM table_name_44 WHERE championship = "necw heavyweight champion"
CREATE TABLE table_name_44 (current_champion_s_ VARCHAR, championship VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 14907, 834, 17788, 12364, 834, 7, 834, 584, 4280, 28027, 6, 10183, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 750, 6336, 16, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 750, 834, 17788, 12364, 834, 7, 834, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 10183, 3274, 96, 29, 15, 75, 210, 2437, 9378, 6336, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which location held the Iron 8 Championship tournament?
SELECT location FROM table_name_65 WHERE championship = "iron 8 championship tournament"
CREATE TABLE table_name_65 (location VARCHAR, championship VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 14836, 584, 4280, 28027, 6, 10183, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1128, 1213, 8, 9046, 505, 7666, 5892, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 10183, 3274, 96, 17773, 505, 10183, 5892, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the capacity of 3500v volts?
SELECT capacity FROM table_name_4 WHERE volts = "3500v"
CREATE TABLE table_name_4 (capacity VARCHAR, volts VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 4010, 9, 6726, 584, 4280, 28027, 6, 3, 10897, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2614, 13, 220, 2560, 208, 3, 10897, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2614, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 3, 10897, 7, 3274, 96, 519, 2560, 208, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many volts has an energy-to-weight ratio of 54 kj/kg to 2.0v?
SELECT volts FROM table_name_44 WHERE energy_to_weight_ratio = "54 kj/kg to 2.0v"
CREATE TABLE table_name_44 (volts VARCHAR, energy_to_weight_ratio VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 10897, 7, 584, 4280, 28027, 6, 827, 834, 235, 834, 9378, 834, 6850, 32, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 3, 10897, 7, 65,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 3, 10897, 7, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 827, 834, 235, 834, 9378, 834, 6850, 32, 3274, 96, 5062, 3, 157, 354, 87, 8711, 12, 6864, 208, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100...
What is the capacity with 2.7v volts and a power-to-weight ratio of 5.44 w/kg c/1 (1.875a)?
SELECT capacity FROM table_name_11 WHERE volts = "2.7v" AND power_to_weight_ratio = "5.44 w/kg c/1 (1.875a)"
CREATE TABLE table_name_11 (capacity VARCHAR, volts VARCHAR, power_to_weight_ratio VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 4010, 9, 6726, 584, 4280, 28027, 6, 3, 10897, 7, 584, 4280, 28027, 6, 579, 834, 235, 834, 9378, 834, 6850, 32, 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, 2614, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 3, 10897, 7, 3274, 96, 21280, 208, 121, 3430, 579, 834, 235, 834, 9378, 834, 6850, 32, 3274, 96, 27436, 591, 3, 210, 87, 8711, 3, 75, 14785, 41, 16253, 3072...
Which season led to a position of 13, and a head coach of Protasov Lyutyi Talalayev Balakhnin Baidachny?
SELECT season FROM table_name_24 WHERE pos = 13 AND head_coach = "protasov lyutyi talalayev balakhnin baidachny"
CREATE TABLE table_name_24 (season VARCHAR, pos VARCHAR, head_coach VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 9476, 584, 4280, 28027, 6, 3, 2748, 584, 4280, 28027, 6, 819, 834, 509, 1836, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 774, 2237, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 774, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 3, 2748, 3274, 1179, 3430, 819, 834, 509, 1836, 3274, 96, 1409, 17, 9, 7, 32, 208, 3, 120, 76, 17, 63, 23, 3, 1947, 9, 5595, 15, 208, 6561, 18965, 29, 77...
Which week had the highest attendance with 58,701?
SELECT MAX(week) FROM table_name_77 WHERE attendance = "58,701"
CREATE TABLE table_name_77 (week INTEGER, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 8041, 3, 21342, 17966, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 471, 141, 8, 2030, 11364, 28, 3, 3449, 6, 2518, 536, 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, 4800, 4, 599, 8041, 61, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 11364, 3274, 96, 3449, 6, 2518, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score of the game against the San Diego Chargers?
SELECT SUM(week) FROM table_name_50 WHERE opponent = "san diego chargers"
CREATE TABLE table_name_50 (week INTEGER, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 8041, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 13, 8, 467, 581, 8, 1051, 8851, 15907, 52, 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, 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, 8041, 61, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 15264, 3274, 96, 7, 152, 67, 839, 17020, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
When was the attendance less than 44,851 during the first 4 weeks of the season?
SELECT date FROM table_name_90 WHERE week < 4 AND attendance = "44,851"
CREATE TABLE table_name_90 (date VARCHAR, week VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 5522, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 8, 11364, 705, 145, 8537, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 471, 3, 2, 314, 3430, 11364, 3274, 96, 3628, 6, 4433, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
On week 13 what was the score of the game?
SELECT result FROM table_name_11 WHERE week = 13
CREATE TABLE table_name_11 (result VARCHAR, week VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 471, 1179, 125, 47, 8, 2604, 13, 8, 467, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 471, 3274, 1179, 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 week had 58,025 in attendance?
SELECT SUM(week) FROM table_name_87 WHERE attendance = "58,025"
CREATE TABLE table_name_87 (week INTEGER, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4225, 41, 8041, 3, 21342, 17966, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 471, 141, 3, 3449, 6, 632, 1828, 16, 11364, 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, 180, 6122, 599, 8041, 61, 21680, 953, 834, 4350, 834, 4225, 549, 17444, 427, 11364, 3274, 96, 3449, 6, 4305, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
When was the game that had 58,025 people in attendance?
SELECT date FROM table_name_26 WHERE attendance = "58,025"
CREATE TABLE table_name_26 (date VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 5522, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 8, 467, 24, 141, 3, 3449, 6, 632, 1828, 151, 16, 11364,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2688, 549, 17444, 427, 11364, 3274, 96, 3449, 6, 4305, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest number of Drawn games for Team Mackenzie where the Played is less and 11 and the Points are greater than 7?
SELECT MIN(drawn) FROM table_name_58 WHERE played < 11 AND points > 7 AND team = "mackenzie"
CREATE TABLE table_name_58 (drawn INTEGER, team VARCHAR, played VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 19489, 29, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 1944, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 19489, 29, 61, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 1944, 3, 2, 850, 3430, 979, 2490, 489, 3430, 372, 3274, 96, 20072, 35, 5600, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What number of Points are shown for Team Paulistano where the Drawn is less than 2 and the Against is less than 15?
SELECT COUNT(points) FROM table_name_95 WHERE drawn < 2 AND team = "paulistano" AND against < 15
CREATE TABLE table_name_95 (points VARCHAR, against VARCHAR, drawn VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 2700, 7, 584, 4280, 28027, 6, 581, 584, 4280, 28027, 6, 6796, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 381, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 6796, 3, 2, 204, 3430, 372, 3274, 96, 102, 402, 3350, 152, 32, 121, 3430, 581, 3, 2, 627, 1, -100, -100, -100, -100, -100, -100, ...
What is the Lowest lost for Team Ypiranga-SP where the games Played is more than 10 and the goals Against is greater than 50?
SELECT MIN(lost) FROM table_name_71 WHERE played > 10 AND team = "ypiranga-sp" AND against > 50
CREATE TABLE table_name_71 (lost INTEGER, against VARCHAR, played VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 2298, 17, 3, 21342, 17966, 6, 581, 584, 4280, 28027, 6, 1944, 584, 4280, 28027, 6, 372, 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, 3, 17684, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 1944, 2490, 335, 3430, 372, 3274, 96, 63, 2388, 1468, 9, 18, 7, 102, 121, 3430, 581, 2490, 943, 1, -100, -100, -100, -100, -100, -100...