NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
What is his highest number of top 25s when eh played over 2 events and under 0 wins?
SELECT MAX(top_25) FROM table_name_28 WHERE events > 2 AND wins < 0
CREATE TABLE table_name_28 (top_25 INTEGER, events VARCHAR, wins VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 2916, 834, 1828, 3, 21342, 17966, 6, 984, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 112, 2030, 381, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 2916, 834, 1828, 61, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 984, 2490, 204, 3430, 9204, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is his low win total when he has over 3 top 25s and under 9 cuts made?
SELECT MIN(wins) FROM table_name_95 WHERE top_25 = 3 AND cuts_made < 9
CREATE TABLE table_name_95 (wins INTEGER, top_25 VARCHAR, cuts_made VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 3757, 7, 3, 21342, 17966, 6, 420, 834, 1828, 584, 4280, 28027, 6, 8620, 834, 4725, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 112, 7...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 420, 834, 1828, 3274, 220, 3430, 8620, 834, 4725, 3, 2, 668, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What opponent had an attendance of 10,089?
SELECT opponent FROM table_name_11 WHERE attendance = "10,089"
CREATE TABLE table_name_11 (opponent VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 32, 102, 9977, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 15264, 141, 46, 11364, 13, 10372, 632, 3914, 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, 15264, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 11364, 3274, 96, 1714, 6, 632, 3914, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score of the game against the Braves with a record of 41–27?
SELECT score FROM table_name_25 WHERE opponent = "braves" AND record = "41–27"
CREATE TABLE table_name_25 (score VARCHAR, opponent VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 7, 9022, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 13, 8, 467, 581,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2604, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 15264, 3274, 96, 1939, 162, 7, 121, 3430, 1368, 3274, 96, 4853, 104, 2555, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the opponent for the match were the outcome was runner-up and the score was 5-7, 1-6?
SELECT opponent FROM table_name_79 WHERE outcome = "runner-up" AND score = "5-7, 1-6"
CREATE TABLE table_name_79 (opponent VARCHAR, outcome VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 32, 102, 9977, 584, 4280, 28027, 6, 6138, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 15264, 21, 8, 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, 1, 1, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 6138, 3274, 96, 10806, 18, 413, 121, 3430, 2604, 3274, 96, 23440, 6, 3, 27019, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the outcome of the match against Stacy Margolin?
SELECT outcome FROM table_name_79 WHERE opponent = "stacy margolin"
CREATE TABLE table_name_79 (outcome VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 670, 287, 15, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 6138, 13, 8, 1588, 581, 472, 4710, 16409, 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, 0, 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, 4440, 549, 17444, 427, 15264, 3274, 96, 7, 17, 4710, 3157, 7579, 77, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the score of the match against duk-hee lee?
SELECT score FROM table_name_43 WHERE opponent = "duk-hee lee"
CREATE TABLE table_name_43 (score VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 7, 9022, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 13, 8, 1588, 581, 146, 157, 18, 88, 15, 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, 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, 4906, 549, 17444, 427, 15264, 3274, 96, 26, 1598, 18, 88, 15, 90, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many Points have a Rank of 17th, and Wins larger than 0?
SELECT COUNT(points) FROM table_name_29 WHERE rank = "17th" AND wins > 0
CREATE TABLE table_name_29 (points VARCHAR, rank VARCHAR, wins VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 2700, 7, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 4564, 7, 43, 3, 9, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 11003, 3274, 96, 2517, 189, 121, 3430, 9204, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Wins have a Class of 500cc, and a Year smaller than 1975?
SELECT wins FROM table_name_46 WHERE class = "500cc" AND year < 1975
CREATE TABLE table_name_46 (wins VARCHAR, class VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 3757, 7, 584, 4280, 28027, 6, 853, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4871, 7, 43, 3, 9, 4501, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 9204, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 853, 3274, 96, 2560, 75, 75, 121, 3430, 215, 3, 2, 16312, 1, -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 Class of 500cc, and Points smaller than 6?
SELECT MAX(wins) FROM table_name_99 WHERE class = "500cc" AND points < 6
CREATE TABLE table_name_99 (wins INTEGER, class VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 3757, 7, 3, 21342, 17966, 6, 853, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4871, 7, 19, 8, 2030, 80, 24, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 853, 3274, 96, 2560, 75, 75, 121, 3430, 979, 3, 2, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which Points is the lowest one that has a Year larger than 1974, and a Rank of 15th?
SELECT MIN(points) FROM table_name_75 WHERE year > 1974 AND rank = "15th"
CREATE TABLE table_name_75 (points INTEGER, year VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 2700, 7, 3, 21342, 17966, 6, 215, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4564, 7, 19, 8, 7402, 80, 24, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 215, 2490, 17184, 3430, 11003, 3274, 96, 1808, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Frequency MHz of 88.7 had what average erp w?
SELECT AVG(erp_w) FROM table_name_50 WHERE frequency_mhz = 88.7
CREATE TABLE table_name_50 (erp_w INTEGER, frequency_mhz VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 49, 102, 834, 210, 3, 21342, 17966, 6, 7321, 834, 51, 107, 172, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5532, 835, 11298, 3, 20210, 13, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 49, 102, 834, 210, 61, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 7321, 834, 51, 107, 172, 3274, 3, 4060, 5, 940, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Frequency MHz smaller than 95.3, and a Call sign of k234ag is what class?
SELECT class FROM table_name_69 WHERE frequency_mhz < 95.3 AND call_sign = "k234ag"
CREATE TABLE table_name_69 (class VARCHAR, frequency_mhz VARCHAR, call_sign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 4057, 584, 4280, 28027, 6, 7321, 834, 51, 107, 172, 584, 4280, 28027, 6, 580, 834, 6732, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5532, 835, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 853, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 7321, 834, 51, 107, 172, 3, 2, 668, 26627, 3430, 580, 834, 6732, 3274, 96, 157, 357, 3710, 9, 122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Call sign of k231bg has what sum of erp w?
SELECT SUM(erp_w) FROM table_name_30 WHERE call_sign = "k231bg"
CREATE TABLE table_name_30 (erp_w INTEGER, call_sign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 49, 102, 834, 210, 3, 21342, 17966, 6, 580, 834, 6732, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2571, 1320, 13, 3, 157, 357, 3341, 115, 122...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 49, 102, 834, 210, 61, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 580, 834, 6732, 3274, 96, 157, 357, 3341, 115, 122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Class of d, and a Frequency MHz smaller than 107.7, and a ERP W smaller than 232 has what call sign?
SELECT call_sign FROM table_name_24 WHERE class = "d" AND frequency_mhz < 107.7 AND erp_w < 232
CREATE TABLE table_name_24 (call_sign VARCHAR, erp_w VARCHAR, class VARCHAR, frequency_mhz VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 16482, 834, 6732, 584, 4280, 28027, 6, 3, 49, 102, 834, 210, 584, 4280, 28027, 6, 853, 584, 4280, 28027, 6, 7321, 834, 51, 107, 172, 584, 4280, 28027, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 580, 834, 6732, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 853, 3274, 96, 26, 121, 3430, 7321, 834, 51, 107, 172, 3, 2, 3, 18057, 5, 940, 3430, 3, 49, 102, 834, 210, 3, 2, 3, 23188, 1, -100, -100, -100...
ERP W that has a Class of d, and a Call sign of k299ar is what total number?
SELECT COUNT(erp_w) FROM table_name_84 WHERE class = "d" AND call_sign = "k299ar"
CREATE TABLE table_name_84 (erp_w VARCHAR, class VARCHAR, call_sign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 49, 102, 834, 210, 584, 4280, 28027, 6, 853, 584, 4280, 28027, 6, 580, 834, 6732, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 22568, 549, 24, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 49, 102, 834, 210, 61, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 853, 3274, 96, 26, 121, 3430, 580, 834, 6732, 3274, 96, 157, 357, 3264, 291, 121, 1, -100, -100, -100, -100, -100, -100, ...
Name the date for loss of ruffin (3-5)
SELECT date FROM table_name_44 WHERE loss = "ruffin (3-5)"
CREATE TABLE table_name_44 (date VARCHAR, loss VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 5522, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 833, 21, 1453, 13, 3, 52, 2999, 77, 41, 18366, 61, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3628, 549, 17444, 427, 1453, 3274, 96, 52, 2999, 77, 41, 18366, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the date with loss of carman (3-12)
SELECT date FROM table_name_59 WHERE loss = "carman (3-12)"
CREATE TABLE table_name_59 (date VARCHAR, loss VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 5522, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 833, 28, 1453, 13, 443, 348, 6918, 5947, 61, 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, 3390, 549, 17444, 427, 1453, 3274, 96, 1720, 348, 6918, 5947, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the score for save of lancaster (3)
SELECT score FROM table_name_7 WHERE save = "lancaster (3)"
CREATE TABLE table_name_7 (score VARCHAR, save VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 7, 9022, 584, 4280, 28027, 6, 1097, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 2604, 21, 1097, 13, 3, 1618, 25327, 10153, 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, 2604, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 1097, 3274, 96, 1618, 25327, 10153, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the opponent with loss of sanderson (9-8)
SELECT opponent FROM table_name_80 WHERE loss = "sanderson (9-8)"
CREATE TABLE table_name_80 (opponent VARCHAR, loss VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 32, 102, 9977, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 15264, 28, 1453, 13, 3, 7, 232, 13515, 14156, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 1453, 3274, 96, 7, 232, 13515, 14156, 18, 13520, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which game has the highest score in October with 9?
SELECT MAX(october) FROM table_name_41 WHERE game = 9
CREATE TABLE table_name_41 (october INTEGER, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 32, 75, 235, 1152, 3, 21342, 17966, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 467, 65, 8, 2030, 2604, 16, 1797, 28, 668, 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, 4800, 4, 599, 32, 75, 235, 1152, 61, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 467, 3274, 668, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the average game with a record of 4-4-0?
SELECT AVG(game) FROM table_name_58 WHERE record = "4-4-0"
CREATE TABLE table_name_58 (game INTEGER, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 7261, 3, 21342, 17966, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1348, 467, 28, 3, 9, 1368, 13, 7769, 26814, 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, 71, 17217, 599, 7261, 61, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 1368, 3274, 96, 591, 18, 26814, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the literacy rate published in the 2001 census for the state that saw a 12.66% increase?
SELECT literacy_rate___percentage____2001_census FROM table_name_80 WHERE _percentage_increase = "12.66%"
CREATE TABLE table_name_80 (literacy_rate___percentage____2001_census VARCHAR, _percentage_increase VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 9842, 4710, 834, 2206, 834, 834, 834, 883, 3728, 545, 834, 834, 834, 834, 23658, 834, 75, 35, 7, 302, 584, 4280, 28027, 6, 3, 834, 883, 3728, 545, 83...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 18298, 834, 2206, 834, 834, 834, 883, 3728, 545, 834, 834, 834, 834, 23658, 834, 75, 35, 7, 302, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 3, 834, 883, 3728, 545, 834, 77, 24706, 3274, 96, 9368, 3539, 145...
Who earned the save in the game against the Sinon Bulls when Jeriome Robertson took the loss?
SELECT save FROM table_name_32 WHERE opponent = "sinon bulls" AND loss = "jeriome robertson"
CREATE TABLE table_name_32 (save VARCHAR, opponent VARCHAR, loss VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 7, 9, 162, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 4964, 8, 1097, 16, 8, 467,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1097, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 15264, 3274, 96, 7, 77, 106, 8434, 7, 121, 3430, 1453, 3274, 96, 12488, 23, 7159, 3, 5840, 49, 17, 739, 121, 1, -100, -100, -100, -100, -100, -100, -100, -1...
what number of people went to the tiger stadium
SELECT result FROM table_name_89 WHERE venue = "tiger stadium"
CREATE TABLE table_name_89 (result VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 381, 13, 151, 877, 12, 8, 3, 17, 4424, 14939, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3914, 549, 17444, 427, 5669, 3274, 96, 17, 4424, 14939, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the undecided percentage of the poll where Goldberg had 6%?
SELECT undecided FROM table_name_51 WHERE goldberg = "6%"
CREATE TABLE table_name_51 (undecided VARCHAR, goldberg VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 202, 24223, 221, 26, 584, 4280, 28027, 6, 2045, 2235, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3550, 10812, 15, 26, 5294, 13, 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, 3550, 10812, 15, 26, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 2045, 2235, 3274, 96, 6370, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the date of the poll where Murray had 11% from the Suffolk University source?
SELECT date FROM table_name_1 WHERE source = "suffolk university" AND murray = "11%"
CREATE TABLE table_name_1 (date VARCHAR, source VARCHAR, murray VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 5522, 584, 4280, 28027, 6, 1391, 584, 4280, 28027, 6, 9593, 2866, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 833, 13, 8, 5492, 213...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 1391, 3274, 96, 7, 2999, 32, 40, 157, 3819, 121, 3430, 9593, 2866, 3274, 96, 536, 4704, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the undecided percentage of the poll from Suffolk University with Murray at 11%?
SELECT undecided FROM table_name_80 WHERE source = "suffolk university" AND murray = "11%"
CREATE TABLE table_name_80 (undecided VARCHAR, source VARCHAR, murray VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 202, 24223, 221, 26, 584, 4280, 28027, 6, 1391, 584, 4280, 28027, 6, 9593, 2866, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3550, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3550, 10812, 15, 26, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 1391, 3274, 96, 7, 2999, 32, 40, 157, 3819, 121, 3430, 9593, 2866, 3274, 96, 536, 4704, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the date of the poll with Silbert at 18%?
SELECT date FROM table_name_53 WHERE silbert = "18%"
CREATE TABLE table_name_53 (date VARCHAR, silbert VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 5522, 584, 4280, 28027, 6, 108, 40, 7041, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 833, 13, 8, 5492, 28, 25953, 17, 44, 507, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4867, 549, 17444, 427, 108, 40, 7041, 3274, 96, 536, 5953, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the date of the poll with Silbert at 10.0%?
SELECT date FROM table_name_48 WHERE silbert = "10.0%"
CREATE TABLE table_name_48 (date VARCHAR, silbert VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 5522, 584, 4280, 28027, 6, 108, 40, 7041, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 833, 13, 8, 5492, 28, 25953, 17, 44, 5477, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3707, 549, 17444, 427, 108, 40, 7041, 3274, 96, 10415, 6932, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the date of the poll with Goldberg at 26%?
SELECT date FROM table_name_12 WHERE goldberg = "26%"
CREATE TABLE table_name_12 (date VARCHAR, goldberg VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 5522, 584, 4280, 28027, 6, 2045, 2235, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 833, 13, 8, 5492, 28, 2540, 2235, 44, 204, 6370...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2122, 549, 17444, 427, 2045, 2235, 3274, 96, 357, 6370, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the smallest number of tries with conversions more than 0?
SELECT MIN(tries) FROM table_name_22 WHERE conversions > 0
CREATE TABLE table_name_22 (tries INTEGER, conversions INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 9000, 3, 21342, 17966, 6, 6113, 7, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 17924, 381, 13, 3, 9000, 28, 6113, 7, 72, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 9000, 61, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 6113, 7, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average number of tries for British and Irish Lions with less than 2 games?
SELECT AVG(tries) FROM table_name_82 WHERE team = "british and irish lions" AND games < 2
CREATE TABLE table_name_82 (tries INTEGER, team VARCHAR, games VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 9000, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 1031, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 381, 13, 3, 9000, 21, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 9000, 61, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 372, 3274, 96, 2160, 17, 1273, 11, 3, 24804, 107, 3, 7325, 7, 121, 3430, 1031, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, ...
What is the average number of conversions for the Cardiff Blues with less than 14 tries?
SELECT AVG(conversions) FROM table_name_91 WHERE team = "cardiff blues" AND tries < 14
CREATE TABLE table_name_91 (conversions INTEGER, team VARCHAR, tries VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 1018, 8674, 7, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 3, 9000, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 381, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 1018, 8674, 7, 61, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 372, 3274, 96, 6043, 5982, 1692, 7, 121, 3430, 3, 9000, 3, 2, 968, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the Median family income when the Median household income is $38,137?
SELECT median_family_income FROM table_name_8 WHERE median_household_income = "$38,137"
CREATE TABLE table_name_8 (median_family_income VARCHAR, median_household_income VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 8172, 29, 834, 15474, 834, 15759, 584, 4280, 28027, 6, 15572, 834, 1840, 6134, 834, 15759, 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, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15572, 834, 15474, 834, 15759, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 15572, 834, 1840, 6134, 834, 15759, 3274, 96, 3229, 3747, 6, 24636, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What County has a Median household income of $46,872?
SELECT county FROM table_name_36 WHERE median_household_income = "$46,872"
CREATE TABLE table_name_36 (county VARCHAR, median_household_income VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 13362, 63, 584, 4280, 28027, 6, 15572, 834, 1840, 6134, 834, 15759, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1334, 65, 3, 9, 3159, 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, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5435, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 15572, 834, 1840, 6134, 834, 15759, 3274, 96, 3229, 4448, 6, 4225, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the average number of field goals scored by a right halfback who had more than 3 touchdowns?
SELECT AVG(field_goals) FROM table_name_80 WHERE position = "right halfback" AND touchdowns > 3
CREATE TABLE table_name_80 (field_goals INTEGER, position VARCHAR, touchdowns VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 1846, 834, 839, 5405, 3, 21342, 17966, 6, 1102, 584, 4280, 28027, 6, 19396, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 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, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 1846, 834, 839, 5405, 61, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 1102, 3274, 96, 3535, 985, 1549, 121, 3430, 19396, 7, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the week of the game played on November 28, 1974?
SELECT MIN(week) FROM table_name_94 WHERE date = "november 28, 1974"
CREATE TABLE table_name_94 (week INTEGER, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 8041, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 471, 13, 8, 467, 1944, 30, 1671, 13719, 17184, 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, 3, 17684, 599, 8041, 61, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 833, 3274, 96, 5326, 18247, 13719, 17184, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What Year was james mcclure Deputy, and the Name is robert mcphearson?
SELECT year FROM table_name_44 WHERE deputy = "james mcclure" AND name = "robert mcphearson"
CREATE TABLE table_name_44 (year VARCHAR, deputy VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 1201, 584, 4280, 28027, 6, 21108, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2929, 47, 7620, 15, 7, 3, 51, 75,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 215, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 21108, 3274, 96, 1191, 2687, 3, 51, 75, 10562, 60, 121, 3430, 564, 3274, 96, 5840, 49, 17, 3, 51, 75, 102, 88, 291, 739, 121, 1, -100, -100, -100, -100, -1...
What is the name of the Deputy when the Name was elizabeth black?
SELECT deputy FROM table_name_88 WHERE name = "elizabeth black"
CREATE TABLE table_name_88 (deputy VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 221, 2562, 63, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 3, 16911, 116, 8, 5570, 47, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 21108, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 564, 3274, 96, 15, 13287, 9, 346, 189, 1001, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the Name for 1997–99?
SELECT name FROM table_name_76 WHERE year = "1997–99"
CREATE TABLE table_name_76 (name VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 4350, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 5570, 21, 6622, 104, 3264, 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, 564, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 215, 3274, 96, 2294, 4327, 104, 3264, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the Political affiliation of deputy john dallat?
SELECT political_affiliation FROM table_name_39 WHERE deputy = "john dallat"
CREATE TABLE table_name_39 (political_affiliation VARCHAR, deputy VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 3003, 17, 1950, 834, 4127, 173, 23, 257, 584, 4280, 28027, 6, 21108, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 19289, 24405, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1827, 834, 4127, 173, 23, 257, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 21108, 3274, 96, 27341, 836, 195, 144, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the name of the deputy in 1992–93?
SELECT deputy FROM table_name_41 WHERE year = "1992–93"
CREATE TABLE table_name_41 (deputy VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 221, 2562, 63, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 21108, 16, 9047, 104, 4271, 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, 21108, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 215, 3274, 96, 19479, 357, 104, 4271, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many civil liberties 2013 values are associated with a 2010 political rights value of 6, civil liberties 2012 values over 5, and political rights 2011 under 6?
SELECT COUNT(civil_liberties_2013) FROM table_name_42 WHERE political_rights_2010 = 6 AND civil_liberties_2012 > 5 AND political_rights_2011 < 6
CREATE TABLE table_name_42 (civil_liberties_2013 VARCHAR, political_rights_2011 VARCHAR, political_rights_2010 VARCHAR, civil_liberties_2012 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4165, 41, 27981, 173, 834, 10661, 3010, 834, 11138, 584, 4280, 28027, 6, 1827, 834, 3535, 7, 834, 13907, 584, 4280, 28027, 6, 1827, 834, 3535, 7, 834, 14926, 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, 2847, 17161, 599, 27981, 173, 834, 10661, 3010, 834, 11138, 61, 21680, 953, 834, 4350, 834, 4165, 549, 17444, 427, 1827, 834, 3535, 7, 834, 14926, 3274, 431, 3430, 3095, 834, 10661, 3010, 834, 12172, 2490, 305, 3430, ...
What is the average 2012 civil liberties value associated with a 2011 status of not free, political rights 2012 over 6, and political rights 2011 over 7?
SELECT AVG(civil_liberties_2012) FROM table_name_42 WHERE status_2011 = "not free" AND political_rights_2012 > 6 AND political_rights_2011 > 7
CREATE TABLE table_name_42 (civil_liberties_2012 INTEGER, political_rights_2011 VARCHAR, status_2011 VARCHAR, political_rights_2012 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4165, 41, 27981, 173, 834, 10661, 3010, 834, 12172, 3, 21342, 17966, 6, 1827, 834, 3535, 7, 834, 13907, 584, 4280, 28027, 6, 2637, 834, 13907, 584, 4280, 28027, 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, 71, 17217, 599, 27981, 173, 834, 10661, 3010, 834, 12172, 61, 21680, 953, 834, 4350, 834, 4165, 549, 17444, 427, 2637, 834, 13907, 3274, 96, 2264, 339, 121, 3430, 1827, 834, 3535, 7, 834, 12172, 2490, 431, 3430, 1827,...
What is the total number of civil liberties 2011 values having 2010 political rights values under 3 and 2011 political rights values under 1?
SELECT COUNT(civil_liberties_2011) FROM table_name_70 WHERE political_rights_2010 < 3 AND political_rights_2011 < 1
CREATE TABLE table_name_70 (civil_liberties_2011 VARCHAR, political_rights_2010 VARCHAR, political_rights_2011 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 27981, 173, 834, 10661, 3010, 834, 13907, 584, 4280, 28027, 6, 1827, 834, 3535, 7, 834, 14926, 584, 4280, 28027, 6, 1827, 834, 3535, 7, 834, 13907, 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, 2847, 17161, 599, 27981, 173, 834, 10661, 3010, 834, 13907, 61, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 1827, 834, 3535, 7, 834, 14926, 3, 2, 220, 3430, 1827, 834, 3535, 7, 834, 13907, 3, 2, 209, 1, -10...
What percentage of people were opposed to the candidate based on the WNBC/Marist poll that showed 8% of people were unsure?
SELECT oppose FROM table_name_47 WHERE unsure = "8%" AND poll_source = "wnbc/marist poll"
CREATE TABLE table_name_47 (oppose VARCHAR, unsure VARCHAR, poll_source VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 28236, 7, 15, 584, 4280, 28027, 6, 3, 20305, 584, 4280, 28027, 6, 5492, 834, 7928, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 5294, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 10720, 15, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 3, 20305, 3274, 96, 5953, 121, 3430, 5492, 834, 7928, 3274, 96, 210, 29, 115, 75, 87, 1635, 343, 5492, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
What percentage of people were opposed to the candidate based on the Time Poll poll that showed 6% of people were unsure?
SELECT oppose FROM table_name_22 WHERE poll_source = "time poll" AND unsure = "6%"
CREATE TABLE table_name_22 (oppose VARCHAR, poll_source VARCHAR, unsure VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 28236, 7, 15, 584, 4280, 28027, 6, 5492, 834, 7928, 584, 4280, 28027, 6, 3, 20305, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 5294, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 10720, 15, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 5492, 834, 7928, 3274, 96, 715, 5492, 121, 3430, 3, 20305, 3274, 96, 6370, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What percentage of people said they would consider Rudy Giuliani as a candidate according to the Newsweek poll that showed 32% opposed him?
SELECT consider FROM table_name_21 WHERE poll_source = "newsweek poll" AND oppose = "32%" AND candidate = "rudy giuliani"
CREATE TABLE table_name_21 (consider VARCHAR, candidate VARCHAR, poll_source VARCHAR, oppose VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 31750, 584, 4280, 28027, 6, 4775, 584, 4280, 28027, 6, 5492, 834, 7928, 584, 4280, 28027, 6, 10720, 15, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 321...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1099, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 5492, 834, 7928, 3274, 96, 15808, 8041, 5492, 121, 3430, 10720, 15, 3274, 96, 519, 5406, 121, 3430, 4775, 3274, 96, 17237, 63, 3, 24930, 9928, 23, 121, 1, -10...
What was the result of the game in Stuttgart, West Germany and a goal number of less than 9?
SELECT result FROM table_name_12 WHERE venue = "stuttgart, west germany" AND goal < 9
CREATE TABLE table_name_12 (result VARCHAR, venue VARCHAR, goal VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 6, 1288, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 741, 13, 8, 467...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 741, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 5669, 3274, 96, 7, 17, 76, 17, 17, 1478, 17, 6, 4653, 13692, 63, 121, 3430, 1288, 3, 2, 668, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Record has an Opponent of twins, and a Date of july 25?
SELECT record FROM table_name_10 WHERE opponent = "twins" AND date = "july 25"
CREATE TABLE table_name_10 (record VARCHAR, opponent VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 60, 7621, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 11392, 65, 46, 4495, 9977, 13,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 15264, 3274, 96, 17, 3757, 7, 121, 3430, 833, 3274, 96, 2047, 120, 944, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How much is per capita income when median household income is $42,845?
SELECT per_capita_income FROM table_name_43 WHERE median_household_income = "$42,845"
CREATE TABLE table_name_43 (per_capita_income VARCHAR, median_household_income VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 883, 834, 4010, 155, 9, 834, 15759, 584, 4280, 28027, 6, 15572, 834, 1840, 6134, 834, 15759, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 399, 834, 4010, 155, 9, 834, 15759, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 15572, 834, 1840, 6134, 834, 15759, 3274, 96, 3229, 4165, 6, 4608, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Points have a Score of 4–1, and a Game smaller than 39?
SELECT SUM(points) FROM table_name_91 WHERE score = "4–1" AND game < 39
CREATE TABLE table_name_91 (points INTEGER, score VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 2700, 7, 3, 21342, 17966, 6, 2604, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4564, 7, 43, 3, 9, 17763, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 2604, 3274, 96, 591, 104, 536, 121, 3430, 467, 3, 2, 6352, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which January has a Score of 7–4, and a Game smaller than 42?
SELECT SUM(january) FROM table_name_69 WHERE score = "7–4" AND game < 42
CREATE TABLE table_name_69 (january INTEGER, score VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 7066, 76, 1208, 3, 21342, 17966, 6, 2604, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1762, 65, 3, 9, 17763, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 7066, 76, 1208, 61, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 2604, 3274, 96, 940, 104, 20364, 3430, 467, 3, 2, 6426, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many games have a Score of 1–0, and Points smaller than 66?
SELECT COUNT(game) FROM table_name_9 WHERE score = "1–0" AND points < 66
CREATE TABLE table_name_9 (game VARCHAR, score VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 7261, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1031, 43, 3, 9, 17763, 13, 20...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 7261, 61, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 2604, 3274, 96, 536, 104, 632, 121, 3430, 979, 3, 2, 3, 3539, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Points is the lowest one that has a Score of 1–4, and a January smaller than 18?
SELECT MIN(points) FROM table_name_26 WHERE score = "1–4" AND january < 18
CREATE TABLE table_name_26 (points INTEGER, score VARCHAR, january VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 2700, 7, 3, 21342, 17966, 6, 2604, 584, 4280, 28027, 6, 3, 7066, 76, 1208, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4564, 7, 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, 0...
[ 3, 23143, 14196, 3, 17684, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 2604, 3274, 96, 536, 104, 20364, 3430, 3, 7066, 76, 1208, 3, 2, 507, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which borough or census area has a $59,596 median household income?
SELECT borough_or_census_area FROM table_name_68 WHERE median_household_income = "$59,596"
CREATE TABLE table_name_68 (borough_or_census_area VARCHAR, median_household_income VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 12823, 834, 127, 834, 75, 35, 7, 302, 834, 498, 584, 4280, 28027, 6, 15572, 834, 1840, 6134, 834, 15759, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 3, 12823, 834, 127, 834, 75, 35, 7, 302, 834, 498, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 15572, 834, 1840, 6134, 834, 15759, 3274, 96, 3229, 3390, 6, 3390, 948, 121, 1, -100, -100, -100, -100, -100, -...
What is the population of the area with a median family income of $71,278?
SELECT COUNT(population) FROM table_name_59 WHERE median_family_income = "$71,278"
CREATE TABLE table_name_59 (population VARCHAR, median_family_income VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 9791, 7830, 584, 4280, 28027, 6, 15572, 834, 15474, 834, 15759, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2074, 13, 8, 616, 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, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 9791, 7830, 61, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 15572, 834, 15474, 834, 15759, 3274, 96, 3229, 4450, 6, 357, 3940, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the Outcome of the Danish Open in 1985?
SELECT outcome FROM table_name_21 WHERE venue = "danish open" AND year = "1985"
CREATE TABLE table_name_21 (outcome VARCHAR, venue VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 670, 287, 15, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 3387, 287, 15, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6138, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 5669, 3274, 96, 3768, 1273, 539, 121, 3430, 215, 3274, 96, 24151, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the Venue in 1986 with an Outcome of 1?
SELECT venue FROM table_name_71 WHERE year = "1986" AND outcome = "1"
CREATE TABLE table_name_71 (venue VARCHAR, year VARCHAR, outcome VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 15098, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 6138, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 29940, 16, 12698, 28, 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, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5669, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 215, 3274, 96, 2294, 3840, 121, 3430, 6138, 3274, 96, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the Outcome in 1983 of the WD Event?
SELECT outcome FROM table_name_11 WHERE event = "wd" AND year = "1983"
CREATE TABLE table_name_11 (outcome VARCHAR, event VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 670, 287, 15, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 3387, 287, 15, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6138, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 605, 3274, 96, 210, 26, 121, 3430, 215, 3274, 96, 2294, 4591, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In what Year did the German Open have Yoo Sang-Hee as Partner?
SELECT year FROM table_name_8 WHERE partner = "yoo sang-hee" AND venue = "german open"
CREATE TABLE table_name_8 (year VARCHAR, partner VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 1201, 584, 4280, 28027, 6, 2397, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 125, 2929, 410, 8, 2968, 2384, 43, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 215, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 2397, 3274, 96, 63, 32, 32, 9965, 18, 88, 15, 121, 3430, 5669, 3274, 96, 1304, 348, 539, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the Outcome in the Malaysia Open with Partner Yoo Sang-Hee?
SELECT outcome FROM table_name_81 WHERE partner = "yoo sang-hee" AND venue = "malaysia open"
CREATE TABLE table_name_81 (outcome VARCHAR, partner VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 670, 287, 15, 584, 4280, 28027, 6, 2397, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3387, 287, 15, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6138, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 2397, 3274, 96, 63, 32, 32, 9965, 18, 88, 15, 121, 3430, 5669, 3274, 96, 51, 9, 20244, 23, 9, 539, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Partner during the Asian Games Year?
SELECT partner FROM table_name_23 WHERE year = "asian games"
CREATE TABLE table_name_23 (partner VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 12300, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 5793, 383, 8, 6578, 5880, 2929, 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, 2397, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 215, 3274, 96, 9, 10488, 1031, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the loss for August 19?
SELECT loss FROM table_name_91 WHERE date = "august 19"
CREATE TABLE table_name_91 (loss VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 2298, 7, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1453, 21, 1660, 957, 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, 1453, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 833, 3274, 96, 402, 17198, 957, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What Municipality has a Rank of 44?
SELECT municipality FROM table_name_94 WHERE rank = 44
CREATE TABLE table_name_94 (municipality VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 11760, 3389, 10355, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 16492, 485, 65, 3, 9, 3, 22557, 13, 8537, 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, 27597, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 11003, 3274, 8537, 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 total Rank that has a Municipality of Winnipeg, an Area (KM 2) that's larger than 464.01?
SELECT SUM(rank) FROM table_name_85 WHERE municipality = "winnipeg" AND area__km_2__ > 464.01
CREATE TABLE table_name_85 (rank INTEGER, municipality VARCHAR, area__km_2__ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 6254, 3, 21342, 17966, 6, 27597, 584, 4280, 28027, 6, 616, 834, 834, 5848, 834, 357, 834, 834, 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, 180, 6122, 599, 6254, 61, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 27597, 3274, 96, 3757, 29, 23, 855, 122, 121, 3430, 616, 834, 834, 5848, 834, 357, 834, 834, 2490, 9668, 15021, 536, 1, -100, -100, -100, ...
What is the highest Area (KM 2) for the Province of Ontario, that has the Status of Town, a Municipality of Minto, and a Rank that's smaller than 84?
SELECT MAX(area__km_2__) FROM table_name_96 WHERE province = "ontario" AND status = "town" AND municipality = "minto" AND rank < 84
CREATE TABLE table_name_96 (area__km_2__ INTEGER, rank VARCHAR, municipality VARCHAR, province VARCHAR, status VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 498, 834, 834, 5848, 834, 357, 834, 834, 3, 21342, 17966, 6, 11003, 584, 4280, 28027, 6, 27597, 584, 4280, 28027, 6, 7985, 584, 4280, 28027, 6, 2637, 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, 4800, 4, 599, 498, 834, 834, 5848, 834, 357, 834, 834, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 7985, 3274, 96, 1770, 14414, 121, 3430, 2637, 3274, 96, 3540, 121, 3430, 27597, 3274, 96, 1109, 235, 121,...
What's the total of Rank that has an Area (KM 2) of 1050.14?
SELECT SUM(rank) FROM table_name_6 WHERE area__km_2__ = 1050.14
CREATE TABLE table_name_6 (rank INTEGER, area__km_2__ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 6254, 3, 21342, 17966, 6, 616, 834, 834, 5848, 834, 357, 834, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 792, 13, 3, 225...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 6254, 61, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 616, 834, 834, 5848, 834, 357, 834, 834, 3274, 335, 1752, 5, 2534, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the listed Status that has the Province of Ontario and Rank of 86?
SELECT status FROM table_name_19 WHERE province = "ontario" AND rank = 86
CREATE TABLE table_name_19 (status VARCHAR, province VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 8547, 302, 584, 4280, 28027, 6, 7985, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2616, 19318, 24, 65, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2637, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 7985, 3274, 96, 1770, 14414, 121, 3430, 11003, 3274, 3, 3840, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What type of event had the wrestler with a reign of 2 and held the title for 35 days?
SELECT event FROM table_name_31 WHERE reign = "2" AND days_held = "35"
CREATE TABLE table_name_31 (event VARCHAR, reign VARCHAR, days_held VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 15, 2169, 584, 4280, 28027, 6, 17367, 584, 4280, 28027, 6, 477, 834, 14796, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 686, 13, 605, 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, 605, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 17367, 3274, 96, 357, 121, 3430, 477, 834, 14796, 3274, 96, 2469, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Where did the wrestler, super parka, with the title with a reign of 2?
SELECT location FROM table_name_41 WHERE wrestler = "super parka" AND reign = "2"
CREATE TABLE table_name_41 (location VARCHAR, wrestler VARCHAR, reign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 14836, 584, 4280, 28027, 6, 26033, 52, 584, 4280, 28027, 6, 17367, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 410, 8, 26033, 52, 6, 1355,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1128, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 26033, 52, 3274, 96, 21771, 2447, 9, 121, 3430, 17367, 3274, 96, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the reign for super kendo who held it for 35 days?
SELECT reign FROM table_name_16 WHERE days_held = "35" AND wrestler = "super kendo"
CREATE TABLE table_name_16 (reign VARCHAR, days_held VARCHAR, wrestler VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 60, 3191, 584, 4280, 28027, 6, 477, 834, 14796, 584, 4280, 28027, 6, 26033, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 17367, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17367, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 477, 834, 14796, 3274, 96, 2469, 121, 3430, 26033, 52, 3274, 96, 21771, 3, 2217, 26, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which FCC info has an ERP W of 100 watts?
SELECT fcc_info FROM table_name_67 WHERE erp_w = "100 watts"
CREATE TABLE table_name_67 (fcc_info VARCHAR, erp_w VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 89, 75, 75, 834, 9583, 584, 4280, 28027, 6, 3, 49, 102, 834, 210, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 377, 2823, 2845, 65, 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, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 89, 75, 75, 834, 9583, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 3, 49, 102, 834, 210, 3274, 96, 2915, 3, 11876, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Frequency MHz has a Call Sign of K218BE?
SELECT frequency_mhz FROM table_name_7 WHERE call_sign = "k218be"
CREATE TABLE table_name_7 (frequency_mhz VARCHAR, call_sign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 30989, 834, 51, 107, 172, 584, 4280, 28027, 6, 580, 834, 6732, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5532, 835, 11298, 3, 20210, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 7321, 834, 51, 107, 172, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 580, 834, 6732, 3274, 96, 157, 357, 2606, 346, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which ERP W has a Frequency MHz of 88.5 FM?
SELECT erp_w FROM table_name_15 WHERE frequency_mhz = "88.5 fm"
CREATE TABLE table_name_15 (erp_w VARCHAR, frequency_mhz VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 49, 102, 834, 210, 584, 4280, 28027, 6, 7321, 834, 51, 107, 172, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 22568, 549, 65, 3, 9, 5532,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 49, 102, 834, 210, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 7321, 834, 51, 107, 172, 3274, 96, 927, 19253, 3, 89, 51, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the name of the player from Spain with a rank lower than 3?
SELECT name FROM table_name_62 WHERE nationality = "spain" AND ranking > 3
CREATE TABLE table_name_62 (name VARCHAR, nationality VARCHAR, ranking VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 4350, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 11592, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 1959, 45...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 564, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 1157, 485, 3274, 96, 14147, 77, 121, 3430, 11592, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which region had a catalog number of 570 734-2?
SELECT region FROM table_name_19 WHERE catalog = "570 734-2"
CREATE TABLE table_name_19 (region VARCHAR, catalog VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 18145, 584, 4280, 28027, 6, 10173, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1719, 141, 3, 9, 10173, 381, 13, 3, 28363, 489, 3710, 4949,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1719, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 10173, 3274, 96, 28363, 489, 3710, 4949, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which region had a release format of CD Maxi?
SELECT region FROM table_name_8 WHERE format = "cd maxi"
CREATE TABLE table_name_8 (region VARCHAR, format VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 18145, 584, 4280, 28027, 6, 1910, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1719, 141, 3, 9, 1576, 1910, 13, 3190, 15236, 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, 1719, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 1910, 3274, 96, 75, 26, 9858, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which region had a release format of CD Maxi?
SELECT region FROM table_name_20 WHERE format = "cd maxi"
CREATE TABLE table_name_20 (region VARCHAR, format VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 18145, 584, 4280, 28027, 6, 1910, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1719, 141, 3, 9, 1576, 1910, 13, 3190, 15236, 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, 1719, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 1910, 3274, 96, 75, 26, 9858, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Where did the Jet's play with an attendance of 11,309?
SELECT game_site FROM table_name_98 WHERE attendance = "11,309"
CREATE TABLE table_name_98 (game_site VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 7261, 834, 3585, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 410, 8, 12434, 31, 7, 577, 28, 46, 11364, 13, 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, 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, 3916, 549, 17444, 427, 11364, 3274, 96, 2596, 6, 1458, 1298, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What's the result of the game against Bye?
SELECT result FROM table_name_34 WHERE opponent = "bye"
CREATE TABLE table_name_34 (result VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 741, 13, 8, 467, 581, 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, 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, 3710, 549, 17444, 427, 15264, 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, -100, -100, -...
What's the Result for week 15?
SELECT result FROM table_name_53 WHERE week = 15
CREATE TABLE table_name_53 (result VARCHAR, week VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 3, 20119, 21, 471, 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, 741, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 471, 3274, 627, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What day was the appointment when Credentials Presented was jul 2, 1969?
SELECT appointment FROM table_name_79 WHERE credentials_presented = "jul 2, 1969"
CREATE TABLE table_name_79 (appointment VARCHAR, credentials_presented VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 9, 102, 2700, 297, 584, 4280, 28027, 6, 17500, 834, 12640, 15, 26, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 239, 47, 8, 4141, 116, 143...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4141, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 17500, 834, 12640, 15, 26, 3274, 96, 354, 83, 3547, 17185, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
When were the credentials presented for new jersey with a status of foreign service officer?
SELECT credentials_presented FROM table_name_59 WHERE state = "new jersey" AND status = "foreign service officer"
CREATE TABLE table_name_59 (credentials_presented VARCHAR, state VARCHAR, status VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 17216, 7220, 7, 834, 12640, 15, 26, 584, 4280, 28027, 6, 538, 584, 4280, 28027, 6, 2637, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 130, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17500, 834, 12640, 15, 26, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 538, 3274, 96, 5534, 13426, 121, 3430, 2637, 3274, 96, 1161, 15, 3191, 313, 5502, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the title for david campbell mulford?
SELECT title FROM table_name_90 WHERE name = "david campbell mulford"
CREATE TABLE table_name_90 (title VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 21869, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2233, 21, 836, 6961, 2856, 7708, 3, 4115, 2590, 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, 2233, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 564, 3274, 96, 26, 9, 6961, 2856, 7708, 3, 4115, 2590, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What state has an appointment for jul 12, 2001?
SELECT state FROM table_name_47 WHERE appointment = "jul 12, 2001"
CREATE TABLE table_name_47 (state VARCHAR, appointment VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 5540, 584, 4280, 28027, 6, 4141, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 538, 65, 46, 4141, 21, 3, 354, 83, 10440, 4402, 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, 538, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 4141, 3274, 96, 354, 83, 10440, 4402, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What day were credentials presented for vermont?
SELECT credentials_presented FROM table_name_35 WHERE state = "vermont"
CREATE TABLE table_name_35 (credentials_presented VARCHAR, state VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 17216, 7220, 7, 834, 12640, 15, 26, 584, 4280, 28027, 6, 538, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 239, 130, 17500, 2569, 21, 548, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17500, 834, 12640, 15, 26, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 538, 3274, 96, 624, 4662, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Class has a Weight of 203?
SELECT class FROM table_name_57 WHERE weight = 203
CREATE TABLE table_name_57 (class VARCHAR, weight VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 4057, 584, 4280, 28027, 6, 1293, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4501, 65, 3, 9, 14230, 13, 3, 23330, 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, 3436, 549, 17444, 427, 1293, 3274, 3, 23330, 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 team 1 with team 2 Mount Cameroon FC?
SELECT team_1 FROM table_name_43 WHERE team_2 = "mount cameroon fc"
CREATE TABLE table_name_43 (team_1 VARCHAR, team_2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 11650, 834, 536, 584, 4280, 28027, 6, 372, 834, 357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 372, 209, 28, 372, 204, 7964, 518...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 834, 536, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 372, 834, 357, 3274, 96, 11231, 764, 52, 32, 106, 3, 89, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the 2nd leg of team 1 Dolphins?
SELECT 2 AS nd_leg FROM table_name_99 WHERE team_1 = "dolphins"
CREATE TABLE table_name_99 (team_1 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 11650, 834, 536, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 204, 727, 4553, 13, 372, 209, 27676, 7, 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, 204, 6157, 3, 727, 834, 5772, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 372, 834, 536, 3274, 96, 26, 23589, 77, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
When the winner was No Race in a year after 1909, what was the distance?
SELECT distance__miles_ FROM table_name_68 WHERE winner = "no race" AND year > 1909
CREATE TABLE table_name_68 (distance__miles_ VARCHAR, winner VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 26, 23, 8389, 834, 834, 8770, 7, 834, 584, 4280, 28027, 6, 4668, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 8,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 2357, 834, 834, 8770, 7, 834, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 4668, 3274, 96, 29, 32, 1964, 121, 3430, 215, 2490, 957, 4198, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What horse won with a trainer of "no race"?
SELECT winner FROM table_name_21 WHERE trainer = "no race"
CREATE TABLE table_name_21 (winner VARCHAR, trainer VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 3757, 687, 584, 4280, 28027, 6, 8813, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 4952, 751, 28, 3, 9, 8813, 13, 96, 29, 32, 1964, 121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4668, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 8813, 3274, 96, 29, 32, 1964, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who was the jockey for the winning horse Helioptic?
SELECT jockey FROM table_name_41 WHERE winner = "helioptic"
CREATE TABLE table_name_41 (jockey VARCHAR, winner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 1927, 75, 4397, 584, 4280, 28027, 6, 4668, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 8624, 4397, 21, 8, 3447, 4952, 23025, 12331,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8624, 4397, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 4668, 3274, 96, 17801, 12331, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the time for the winning horse Salford ii?
SELECT time FROM table_name_94 WHERE winner = "salford ii"
CREATE TABLE table_name_94 (time VARCHAR, winner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 715, 584, 4280, 28027, 6, 4668, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 97, 21, 8, 3447, 4952, 5158, 2590, 3, 23, 23, 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, 97, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 4668, 3274, 96, 7, 138, 2590, 3, 23, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the winning time for the winning horse, Kentucky ii?
SELECT time FROM table_name_49 WHERE winner = "kentucky ii"
CREATE TABLE table_name_49 (time VARCHAR, winner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 715, 584, 4280, 28027, 6, 4668, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 3447, 97, 21, 8, 3447, 4952, 6, 13401, 3, 23, 23, 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, 97, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 4668, 3274, 96, 2217, 17, 4636, 63, 3, 23, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the position with the total number less than 1?
SELECT COUNT(position) FROM table_name_1 WHERE lost < 1
CREATE TABLE table_name_1 (position VARCHAR, lost INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 4718, 584, 4280, 28027, 6, 1513, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1102, 28, 8, 792, 381, 705, 145, 209, 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, 2847, 17161, 599, 4718, 61, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 1513, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the sum of golds for ranks of 6 and totals over 3?
SELECT SUM(gold) FROM table_name_36 WHERE rank = "6" AND total > 3
CREATE TABLE table_name_36 (gold INTEGER, rank VARCHAR, total VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 14910, 3, 21342, 17966, 6, 11003, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 13, 2045, 7, 21, 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, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 14910, 61, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 11003, 3274, 96, 948, 121, 3430, 792, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the average silver for golds over 2, ranks of 1, and bronzes over 0?
SELECT AVG(silver) FROM table_name_35 WHERE gold > 2 AND rank = "1" AND bronze > 0
CREATE TABLE table_name_35 (silver INTEGER, bronze VARCHAR, gold VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 7, 173, 624, 3, 21342, 17966, 6, 13467, 584, 4280, 28027, 6, 2045, 584, 4280, 28027, 6, 11003, 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, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 7, 173, 624, 61, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 2045, 2490, 204, 3430, 11003, 3274, 96, 536, 121, 3430, 13467, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the number of totals that have silvers under 2, bronzes over 0, and golds over 1?
SELECT COUNT(total) FROM table_name_57 WHERE silver < 2 AND bronze > 0 AND gold > 1
CREATE TABLE table_name_57 (total VARCHAR, gold VARCHAR, silver VARCHAR, bronze VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 235, 1947, 584, 4280, 28027, 6, 2045, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 6, 13467, 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, 2847, 17161, 599, 235, 1947, 61, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 4294, 3, 2, 204, 3430, 13467, 2490, 3, 632, 3430, 2045, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...