NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
Which First elected is the highest one that has a Party of dem, and a District larger than 24, and a Home city/town of berlin?
SELECT MAX(first_elected) FROM table_name_73 WHERE party = "dem" AND district > 24 AND home_city_town = "berlin"
CREATE TABLE table_name_73 (first_elected INTEGER, home_city_town VARCHAR, party VARCHAR, district VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 14672, 834, 19971, 3, 21342, 17966, 6, 234, 834, 6726, 834, 3540, 584, 4280, 28027, 6, 1088, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 61, 3, 32105, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 14672, 834, 19971, 61, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 1088, 3274, 96, 1778, 121, 3430, 3939, 2490, 997, 3430, 234, 834, 6726, 834, 3540, 3274, 96, 27995, 121, 1, -100, -100, -100, -...
What record has pittsburgh as the visitor, and November 23 as the date?
SELECT record FROM table_name_45 WHERE visitor = "pittsburgh" AND date = "november 23"
CREATE TABLE table_name_45 (record VARCHAR, visitor VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 60, 7621, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1368, 65, 7688, 17, 7289, 107, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1368, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 7019, 3274, 96, 5230, 17, 7289, 107, 121, 3430, 833, 3274, 96, 5326, 18247, 1902, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What record has points less than 16, and detroit as the home?
SELECT record FROM table_name_13 WHERE points < 16 AND home = "detroit"
CREATE TABLE table_name_13 (record VARCHAR, points VARCHAR, home VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 60, 7621, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1368, 65, 979, 705, 145, 11940, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 979, 3, 2, 898, 3430, 234, 3274, 96, 26, 15252, 155, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many points have pittsburgh as the visitor, and philadelphia as the home?
SELECT COUNT(points) FROM table_name_38 WHERE visitor = "pittsburgh" AND home = "philadelphia"
CREATE TABLE table_name_38 (points VARCHAR, visitor VARCHAR, home VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 2700, 7, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 979, 43, 7688, 17, 7289, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 7019, 3274, 96, 5230, 17, 7289, 107, 121, 3430, 234, 3274, 96, 18118, 15311, 11692, 9, 121, 1, -100, -100, -100, -100, -100, -100, -1...
What points have pittsburgh as the home, and November 29 as the date?
SELECT points FROM table_name_30 WHERE home = "pittsburgh" AND date = "november 29"
CREATE TABLE table_name_30 (points VARCHAR, home VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 2700, 7, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 979, 43, 7688, 17, 7289, 107, 38...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 979, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 234, 3274, 96, 5230, 17, 7289, 107, 121, 3430, 833, 3274, 96, 5326, 18247, 2838, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the attendance at the game on December 11, 1966?
SELECT attendance FROM table_name_66 WHERE date = "december 11, 1966"
CREATE TABLE table_name_66 (attendance VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 15116, 663, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 11364, 44, 8, 467, 30, 1882, 9694, 20658, 58, 1,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11364, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 833, 3274, 96, 221, 75, 18247, 9694, 20658, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the latest week with a result of l 14-3?
SELECT MAX(week) FROM table_name_83 WHERE result = "l 14-3"
CREATE TABLE table_name_83 (week INTEGER, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 8041, 3, 21342, 17966, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1251, 471, 28, 3, 9, 741, 13, 3, 40, 968, 3486, 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, 4800, 4, 599, 8041, 61, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 741, 3274, 96, 40, 968, 3486, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the total number of weeks with a date of bye?
SELECT COUNT(week) FROM table_name_14 WHERE date = "bye"
CREATE TABLE table_name_14 (week VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 8041, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 792, 381, 13, 1274, 28, 3, 9, 833, 13, 57, 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, 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, 8041, 61, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 833, 3274, 96, 969, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who was the opponent at the game with a result of W 26-20?
SELECT opponent FROM table_name_20 WHERE result = "w 26-20"
CREATE TABLE table_name_20 (opponent VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 32, 102, 9977, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 15264, 44, 8, 467, 28, 3, 9, 741, 13, 549,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15264, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 741, 3274, 96, 210, 2208, 7988, 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 attendance at the week 2 game?
SELECT attendance FROM table_name_89 WHERE week = 2
CREATE TABLE table_name_89 (attendance VARCHAR, week VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 15116, 663, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 11364, 44, 8, 471, 204, 467, 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, 11364, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 471, 3274, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Before 1981, how many Points did Team Suzuki have with less than 0 Wins?
SELECT SUM(points) FROM table_name_96 WHERE team = "suzuki" AND year < 1981 AND wins < 0
CREATE TABLE table_name_96 (points INTEGER, wins VARCHAR, team VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 2700, 7, 3, 21342, 17966, 6, 9204, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3103, 15465, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 372, 3274, 96, 7, 76, 1000, 2168, 121, 3430, 215, 3, 2, 15465, 3430, 9204, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -10...
After 1986, how many Wins did Lucky Strike Yamaha Team with less than 6 Points have?
SELECT MIN(wins) FROM table_name_51 WHERE year > 1986 AND team = "lucky strike yamaha" AND points < 6
CREATE TABLE table_name_51 (wins INTEGER, points VARCHAR, year VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 3757, 7, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 621, 12698, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 215, 2490, 12698, 3430, 372, 3274, 96, 18219, 63, 6585, 3, 22990, 1024, 121, 3430, 979, 3, 2, 431, 1, -100, -100, -100, -100, -100, -1...
In what Year did the RG500 Machine have more than 17 Points?
SELECT COUNT(year) FROM table_name_84 WHERE machine = "rg500" AND points > 17
CREATE TABLE table_name_84 (year VARCHAR, machine VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 1201, 584, 4280, 28027, 6, 1437, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 125, 2929, 410, 8, 3, 12912, 2560, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 1201, 61, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 1437, 3274, 96, 52, 122, 2560, 121, 3430, 979, 2490, 1003, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What were the least Wins in 1988?
SELECT MIN(wins) FROM table_name_19 WHERE year = 1988
CREATE TABLE table_name_19 (wins INTEGER, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 3757, 7, 3, 21342, 17966, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 130, 8, 709, 4871, 7, 16, 10414, 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, 3, 17684, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 215, 3274, 10414, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many points did the Flyers have against the New York Islanders with a February bigger than 12, and a game smaller than 60?
SELECT COUNT(points) FROM table_name_79 WHERE february > 12 AND game < 60 AND opponent = "new york islanders"
CREATE TABLE table_name_79 (points VARCHAR, opponent VARCHAR, february VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 2700, 7, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 29976, 76, 1208, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 29976, 76, 1208, 2490, 586, 3430, 467, 3, 2, 1640, 3430, 15264, 3274, 96, 5534, 25453, 3368, 277, 121, 1, -100, -100, -100, -100, -10...
What is the location of the tournament on Feb 10?
SELECT location FROM table_name_68 WHERE date = "feb 10"
CREATE TABLE table_name_68 (location VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 14836, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1128, 13, 8, 5892, 30, 8037, 335, 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, 1128, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 833, 3274, 96, 89, 15, 115, 335, 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 date of the Kmart greater greensboro open in North Carolina?
SELECT date FROM table_name_65 WHERE location = "north carolina" AND tournament = "kmart greater greensboro open"
CREATE TABLE table_name_65 (date VARCHAR, location VARCHAR, tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 5522, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 833, 13, 8, 480, 1635, 17,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 1128, 3274, 96, 29, 127, 189, 443, 12057, 9, 121, 3430, 5892, 3274, 96, 5848, 1408, 2123, 1442, 7, 14901, 539, 121, 1, -100, -100, -100, -100, -100, -100, -100...
Who is the winner of the H.E.B. Texas open?
SELECT winner FROM table_name_76 WHERE tournament = "h.e.b. texas open"
CREATE TABLE table_name_76 (winner VARCHAR, tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 3757, 687, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 4668, 13, 8, 454, 5, 427, 5, 279, 5, 2514, 53...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4668, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 5892, 3274, 96, 107, 5, 15, 5, 115, 5, 3, 10354, 9, 7, 539, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the average weight of Jeremy Case, who plays guard?
SELECT AVG(weight) FROM table_name_63 WHERE position = "guard" AND name = "jeremy case"
CREATE TABLE table_name_63 (weight INTEGER, position VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 9378, 3, 21342, 17966, 6, 1102, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 1293, 13, 3, 18540, 63...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 9378, 61, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 1102, 3274, 96, 11010, 121, 3430, 564, 3274, 96, 12488, 15, 2258, 495, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the position of the player from New York City, NY?
SELECT position FROM table_name_56 WHERE home_town = "new york city, ny"
CREATE TABLE table_name_56 (position VARCHAR, home_town VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 4718, 584, 4280, 28027, 6, 234, 834, 3540, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1102, 13, 8, 1959, 45, 368, 1060, 896, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1102, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 234, 834, 3540, 3274, 96, 5534, 25453, 690, 6, 3, 29, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What year is guard Mario Chalmers?
SELECT year FROM table_name_53 WHERE position = "guard" AND name = "mario chalmers"
CREATE TABLE table_name_53 (year VARCHAR, position VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 1201, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 215, 19, 4879, 14082, 20732, 5567, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 215, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 1102, 3274, 96, 11010, 121, 3430, 564, 3274, 96, 17289, 32, 3, 12654, 5567, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was japan's score?
SELECT score FROM table_name_51 WHERE country = "japan"
CREATE TABLE table_name_51 (score VARCHAR, country VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 7, 9022, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 2662, 2837, 31, 7, 2604, 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, 2604, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 684, 3274, 96, 1191, 2837, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Venue has a Country of england, and a Champion of alison nicholas?
SELECT venue FROM table_name_66 WHERE country = "england" AND champion = "alison nicholas"
CREATE TABLE table_name_66 (venue VARCHAR, country VARCHAR, champion VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 15098, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 6336, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 29940, 65, 3, 9, 6993, 13, 3, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 5669, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 684, 3274, 96, 4606, 40, 232, 121, 3430, 6336, 3274, 96, 4288, 739, 3, 2532, 2831, 9, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Country has a Year larger than 1978, and a Score of 295, and a Venue of lindrick golf club?
SELECT country FROM table_name_16 WHERE year > 1978 AND score = "295" AND venue = "lindrick golf club"
CREATE TABLE table_name_16 (country VARCHAR, venue VARCHAR, year VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 17529, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6993, 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, 684, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 215, 2490, 14834, 3430, 2604, 3274, 96, 3166, 17395, 3430, 5669, 3274, 96, 9230, 5206, 4319, 1886, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what player scored 9/1
SELECT jockey FROM table_name_35 WHERE odds = "9/1"
CREATE TABLE table_name_35 (jockey VARCHAR, odds VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 1927, 75, 4397, 584, 4280, 28027, 6, 11007, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 1959, 5799, 668, 14785, 1, 0, 0, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 8624, 4397, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 11007, 3274, 96, 1298, 14785, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
On what date was the score 6–4, 7–5?
SELECT date FROM table_name_69 WHERE score = "6–4, 7–5"
CREATE TABLE table_name_69 (date VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 5522, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 125, 833, 47, 8, 2604, 431, 104, 8525, 489, 104, 755, 58, 1,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 2604, 3274, 96, 948, 104, 8525, 489, 104, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who was the opponent with an outcome runner-up on November 15, 2010?
SELECT opponent FROM table_name_79 WHERE outcome = "runner-up" AND date = "november 15, 2010"
CREATE TABLE table_name_79 (opponent VARCHAR, outcome VARCHAR, date 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, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 15264, 28, 46, 61...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 6138, 3274, 96, 10806, 18, 413, 121, 3430, 833, 3274, 96, 5326, 18247, 10725, 2735, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the outcome for Rik de Voest as opponent?
SELECT outcome FROM table_name_98 WHERE opponent = "rik de voest"
CREATE TABLE table_name_98 (outcome VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 670, 287, 15, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 6138, 21, 2403, 157, 20, 3152, 222, 38, 1526...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3916, 549, 17444, 427, 15264, 3274, 96, 9629, 20, 3, 1621, 222, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the score on October 24, 2005?
SELECT score FROM table_name_55 WHERE date = "october 24, 2005"
CREATE TABLE table_name_55 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 30, 1797, 14320, 3105, 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, 2604, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 833, 3274, 96, 32, 75, 235, 1152, 14320, 3105, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the sum of state champions with more tan 9 MRC Championships, more than 4 co-champions, and a record of 192-189-3?
SELECT SUM(state_champions) FROM table_name_72 WHERE mrc_championships > 9 AND records = "192-189-3" AND co_champions > 4
CREATE TABLE table_name_72 (state_champions INTEGER, co_champions VARCHAR, mrc_championships VARCHAR, records VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 5540, 834, 17788, 12364, 7, 3, 21342, 17966, 6, 576, 834, 17788, 12364, 7, 584, 4280, 28027, 6, 3, 51, 52, 75, 834, 17788, 12364, 2009, 7, 584, 4280, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 5540, 834, 17788, 12364, 7, 61, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 3, 51, 52, 75, 834, 17788, 12364, 2009, 7, 2490, 668, 3430, 3187, 3274, 96, 19978, 18, 25312, 3486, 121, 3430, 576, ...
What was the co-champions value when solo was 3 and MRC Championships is greater than 3?
SELECT co_champions FROM table_name_49 WHERE solo = 3 AND mrc_championships > 3
CREATE TABLE table_name_49 (co_champions VARCHAR, solo VARCHAR, mrc_championships VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 509, 834, 17788, 12364, 7, 584, 4280, 28027, 6, 6729, 584, 4280, 28027, 6, 3, 51, 52, 75, 834, 17788, 12364, 2009, 7, 584, 4280, 28027, 61, 3, 32105, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 576, 834, 17788, 12364, 7, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 6729, 3274, 220, 3430, 3, 51, 52, 75, 834, 17788, 12364, 2009, 7, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the highest value for co-champions when the PCT is less than 0.786 and MRC championships is 6 with records of 88-45-6?
SELECT MAX(co_champions) FROM table_name_51 WHERE pct < 0.786 AND mrc_championships = 6 AND records = "88-45-6"
CREATE TABLE table_name_51 (co_champions INTEGER, records VARCHAR, pct VARCHAR, mrc_championships VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 509, 834, 17788, 12364, 7, 3, 21342, 17966, 6, 3187, 584, 4280, 28027, 6, 3, 102, 75, 17, 584, 4280, 28027, 6, 3, 51, 52, 75, 834, 17788, 12364, 2009...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 509, 834, 17788, 12364, 7, 61, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 3, 102, 75, 17, 3, 2, 3, 22426, 3840, 3430, 3, 51, 52, 75, 834, 17788, 12364, 2009, 7, 3274, 431, 3430, 3187, 3274,...
What is the average value of MRC Championships with more than 0.685 PCT., more than 1 for co-champions, and less than 5 solo?
SELECT AVG(mrc_championships) FROM table_name_31 WHERE pct > 0.685 AND co_champions > 1 AND solo < 5
CREATE TABLE table_name_31 (mrc_championships INTEGER, solo VARCHAR, pct VARCHAR, co_champions VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 51, 52, 75, 834, 17788, 12364, 2009, 7, 3, 21342, 17966, 6, 6729, 584, 4280, 28027, 6, 3, 102, 75, 17, 584, 4280, 28027, 6, 576, 834, 17788, 12364, 7...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 51, 52, 75, 834, 17788, 12364, 2009, 7, 61, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 3, 102, 75, 17, 2490, 3, 22787, 4433, 3430, 576, 834, 17788, 12364, 7, 2490, 209, 3430, 6729, 3, 2, ...
What is the average Pct value when state champions is less than 1, MRC Championships is 10, and co-champions are greater than 4?
SELECT AVG(pct) FROM table_name_51 WHERE state_champions < 1 AND mrc_championships = 10 AND co_champions > 4
CREATE TABLE table_name_51 (pct INTEGER, co_champions VARCHAR, state_champions VARCHAR, mrc_championships VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 102, 75, 17, 3, 21342, 17966, 6, 576, 834, 17788, 12364, 7, 584, 4280, 28027, 6, 538, 834, 17788, 12364, 7, 584, 4280, 28027, 6, 3, 51, 52, 75, 834, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 102, 75, 17, 61, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 538, 834, 17788, 12364, 7, 3, 2, 209, 3430, 3, 51, 52, 75, 834, 17788, 12364, 2009, 7, 3274, 335, 3430, 576, 834, 17788, 12364, ...
Street Address of 980 n. michigan avenue is what name?
SELECT name FROM table_name_46 WHERE street_address = "980 n. michigan avenue"
CREATE TABLE table_name_46 (name VARCHAR, street_address VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 4350, 584, 4280, 28027, 6, 2815, 834, 9, 26, 12039, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1887, 13246, 13, 668, 2079, 3, 29, 5, 2278, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 564, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 2815, 834, 9, 26, 12039, 3274, 96, 3916, 632, 3, 29, 5, 2278, 12588, 18836, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name of 900 north michigan, and a Year smaller than 1989 involves what lowest floors?
SELECT MIN(floors) FROM table_name_39 WHERE name = "900 north michigan" AND year < 1989
CREATE TABLE table_name_39 (floors INTEGER, name VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 20924, 7, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 13, 3, 7015, 3457, 2278, 12588, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 20924, 7, 61, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 564, 3274, 96, 7015, 3457, 2278, 12588, 121, 3430, 215, 3, 2, 9975, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Street Address of 401 n. wabash avenue involves what name?
SELECT name FROM table_name_32 WHERE street_address = "401 n. wabash avenue"
CREATE TABLE table_name_32 (name VARCHAR, street_address VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 4350, 584, 4280, 28027, 6, 2815, 834, 9, 26, 12039, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1887, 13246, 13, 3, 20016, 3, 29, 5, 8036, 115...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 564, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 2815, 834, 9, 26, 12039, 3274, 96, 20016, 3, 29, 5, 8036, 115, 3198, 18836, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Pick larger than 229, and a Round smaller than 12, and a Position of defensive back is what school/club team?
SELECT school_club_team FROM table_name_66 WHERE pick > 229 AND round < 12 AND position = "defensive back"
CREATE TABLE table_name_66 (school_club_team VARCHAR, position VARCHAR, pick VARCHAR, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 6646, 834, 13442, 834, 11650, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 6, 1751, 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, 496, 834, 13442, 834, 11650, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 1432, 2490, 204, 3166, 3430, 1751, 3, 2, 586, 3430, 1102, 3274, 96, 221, 23039, 15, 223, 121, 1, -100, -100, -100, -100, -100, -100, -1...
Player of mike o'quinn, and a Round smaller than 15 had what lowest pick?
SELECT MIN(pick) FROM table_name_30 WHERE player = "mike o'quinn" AND round < 15
CREATE TABLE table_name_30 (pick INTEGER, player VARCHAR, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 17967, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 12387, 13, 3, 20068, 15, 3, 32, 31, 11...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 17967, 61, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 1959, 3274, 96, 20068, 15, 3, 32, 31, 1169, 29, 29, 121, 3430, 1751, 3, 2, 627, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Round of 11 had waht sum of pick?
SELECT SUM(pick) FROM table_name_24 WHERE round = 11
CREATE TABLE table_name_24 (pick INTEGER, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 17967, 3, 21342, 17966, 6, 1751, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 9609, 13, 850, 141, 3, 17771, 17, 4505, 13, 1432, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 17967, 61, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 1751, 3274, 850, 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 Position of 6th?
SELECT division FROM table_name_26 WHERE position = "6th"
CREATE TABLE table_name_26 (division VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 26, 23, 6610, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6022, 65, 3, 9, 14258, 13, 431, 189, 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, 4889, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 1102, 3274, 96, 948, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Season has a Level of tier 4, and a Position of 11th?
SELECT SUM(season) FROM table_name_18 WHERE level = "tier 4" AND position = "11th"
CREATE TABLE table_name_18 (season INTEGER, level VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 9476, 3, 21342, 17966, 6, 593, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7960, 65, 3, 9, 7166, 13, 3, 3276,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 9476, 61, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 593, 3274, 96, 3276, 3, 20364, 3430, 1102, 3274, 96, 2596, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Season has a Level of tier 2 and a Position of 1st?
SELECT COUNT(season) FROM table_name_82 WHERE level = "tier 2" AND position = "1st"
CREATE TABLE table_name_82 (season VARCHAR, level VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 9476, 584, 4280, 28027, 6, 593, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7960, 65, 3, 9, 7166, 13, 3, 3276...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9476, 61, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 593, 3274, 96, 3276, 204, 121, 3430, 1102, 3274, 96, 536, 7, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Position has a Level of tier 3 and a Season smaller than 1999?
SELECT position FROM table_name_38 WHERE level = "tier 3" AND season < 1999
CREATE TABLE table_name_38 (position VARCHAR, level VARCHAR, season VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 4718, 584, 4280, 28027, 6, 593, 584, 4280, 28027, 6, 774, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 14258, 65, 3, 9, 7166, 13, 3, 3276...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1102, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 593, 3274, 96, 3276, 220, 121, 3430, 774, 3, 2, 5247, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Median family income has a Median household income of $43,125?
SELECT median_family_income FROM table_name_12 WHERE median_household_income = "$43,125"
CREATE TABLE table_name_12 (median_family_income VARCHAR, median_household_income VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 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, 4073, 3159,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15572, 834, 15474, 834, 15759, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 15572, 834, 1840, 6134, 834, 15759, 3274, 96, 3229, 4906, 6, 10124, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many people have a Median household income of $37,759?
SELECT SUM(population) FROM table_name_66 WHERE median_household_income = "$37,759"
CREATE TABLE table_name_66 (population INTEGER, median_household_income VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 9791, 7830, 3, 21342, 17966, 6, 15572, 834, 1840, 6134, 834, 15759, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 151, 43, 3, 9, 3159, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 9791, 7830, 61, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 15572, 834, 1840, 6134, 834, 15759, 3274, 96, 3229, 4118, 6, 940, 3390, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What week had an Attendance smaller than 21,097?
SELECT COUNT(week) FROM table_name_46 WHERE attendance < 21 OFFSET 097
CREATE TABLE table_name_46 (week VARCHAR, attendance INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 8041, 584, 4280, 28027, 6, 11364, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 471, 141, 46, 22497, 663, 2755, 145, 12026, 632, 4327, 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, 2847, 17161, 599, 8041, 61, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 11364, 3, 2, 1401, 3, 15316, 20788, 14146, 940, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What Week had an Attendance smaller than 22,333?
SELECT COUNT(week) FROM table_name_12 WHERE attendance < 22 OFFSET 333
CREATE TABLE table_name_12 (week VARCHAR, attendance INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 8041, 584, 4280, 28027, 6, 11364, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 6551, 141, 46, 22497, 663, 2755, 145, 12889, 23360, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 8041, 61, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 11364, 3, 2, 1630, 3, 15316, 20788, 3, 23360, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Municipality of tampere involves which party?
SELECT party FROM table_name_1 WHERE municipality = "tampere"
CREATE TABLE table_name_1 (party VARCHAR, municipality VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 8071, 584, 4280, 28027, 6, 27597, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 16492, 485, 13, 3, 17, 4624, 49, 15, 5806, 84, 1088, 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, 1088, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 27597, 3274, 96, 17, 4624, 49, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Quotient of 97 350,333 has how many votes?
SELECT votes FROM table_name_45 WHERE quotient = "97 350,333"
CREATE TABLE table_name_45 (votes VARCHAR, quotient VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 1621, 1422, 584, 4280, 28027, 6, 3, 8270, 4741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2415, 32, 15058, 13, 3, 4327, 10239, 6, 23360, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11839, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 3, 8270, 4741, 3274, 96, 4327, 10239, 6, 23360, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Candidate of kimmo kiljunen belongs to which municipality?
SELECT municipality FROM table_name_88 WHERE candidate = "kimmo kiljunen"
CREATE TABLE table_name_88 (municipality VARCHAR, candidate VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 11760, 3389, 10355, 584, 4280, 28027, 6, 4775, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 25833, 17, 15, 13, 3, 19754, 51, 32, 3, 157, 173, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 27597, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 4775, 3274, 96, 19754, 51, 32, 3, 157, 173, 6959, 35, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Votes of 27,391 has which quotient?
SELECT quotient FROM table_name_10 WHERE votes = "27,391"
CREATE TABLE table_name_10 (quotient VARCHAR, votes VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 8270, 4741, 584, 4280, 28027, 6, 11839, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3152, 1422, 13, 14141, 3288, 536, 65, 84, 3, 8270, 4741, 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, 3, 8270, 4741, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 11839, 3274, 96, 2555, 6, 3288, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Candidate of riikka manner has how many votes?
SELECT votes FROM table_name_41 WHERE candidate = "riikka manner"
CREATE TABLE table_name_41 (votes VARCHAR, candidate VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 1621, 1422, 584, 4280, 28027, 6, 4775, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 25833, 17, 15, 13, 3, 2362, 8511, 9, 3107, 65, 149, 186, 11...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 11839, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 4775, 3274, 96, 2362, 8511, 9, 3107, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Opposition has a Year smaller than 1911, and a Venue of old trafford?
SELECT opposition FROM table_name_51 WHERE year < 1911 AND venue = "old trafford"
CREATE TABLE table_name_51 (opposition VARCHAR, year VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 29585, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4495, 4718, 65, 3, 9, 2929, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 8263, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 215, 3, 2, 28623, 3430, 5669, 3274, 96, 1490, 3, 14793, 2590, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Venue has a Year of 1911?
SELECT venue FROM table_name_60 WHERE year = 1911
CREATE TABLE table_name_60 (venue VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 15098, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 29940, 65, 3, 9, 2929, 13, 28623, 58, 1, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5669, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 215, 3274, 28623, 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...
Which Opposition has a City of taunton?
SELECT opposition FROM table_name_17 WHERE city = "taunton"
CREATE TABLE table_name_17 (opposition VARCHAR, city VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 29585, 584, 4280, 28027, 6, 690, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4495, 4718, 65, 3, 9, 896, 13, 7151, 6992, 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, 8263, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 690, 3274, 96, 17, 402, 6992, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which number of Years has a Venue of old trafford, and an Opposition of yorkshire?
SELECT COUNT(year) FROM table_name_30 WHERE venue = "old trafford" AND opposition = "yorkshire"
CREATE TABLE table_name_30 (year VARCHAR, venue VARCHAR, opposition VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 1201, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 6, 8263, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 381, 13, 13825, 65, 3, 9, 29940, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1201, 61, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 5669, 3274, 96, 1490, 3, 14793, 2590, 121, 3430, 8263, 3274, 96, 63, 127, 157, 5718, 121, 1, -100, -100, -100, -100, -100, -100, -100, -...
What was the score of the match that took place at 6:00 PM with 79,419 in attendance?
SELECT result FROM table_name_69 WHERE time = "6:00 pm" AND attendance = "79,419"
CREATE TABLE table_name_69 (result VARCHAR, time VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 13, 8, 158...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 741, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 97, 3274, 96, 18828, 6366, 121, 3430, 11364, 3274, 96, 4440, 6, 591, 2294, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What time was the match that had an attendance of 22,329?
SELECT time FROM table_name_99 WHERE attendance = "22,329"
CREATE TABLE table_name_99 (time VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 715, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 97, 47, 8, 1588, 24, 141, 46, 11364, 13, 12889, 519, 3166, 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, 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, 3264, 549, 17444, 427, 11364, 3274, 96, 2884, 6, 519, 3166, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What two teams were competing in the match with 103,158 in attendance?
SELECT opponent FROM table_name_50 WHERE attendance = "103,158"
CREATE TABLE table_name_50 (opponent VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 32, 102, 9977, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 192, 2323, 130, 12166, 16, 8, 1588, 28, 3, 17864, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15264, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 11364, 3274, 96, 17864, 6, 26556, 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 average date in January that the Rangers played against Chicago Black Hawks?
SELECT AVG(january) FROM table_name_92 WHERE opponent = "chicago black hawks"
CREATE TABLE table_name_92 (january INTEGER, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 7066, 76, 1208, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 833, 16, 1762, 24, 8, 12612, 277, 194...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 7066, 76, 1208, 61, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 15264, 3274, 96, 1436, 658, 839, 1001, 3, 14400, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the score of the game where the Rangers record was 16-8-4?
SELECT score FROM table_name_81 WHERE record = "16-8-4"
CREATE TABLE table_name_81 (score VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 7, 9022, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 13, 8, 467, 213, 8, 12612, 277, 1368, 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, 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, 4959, 549, 17444, 427, 1368, 3274, 96, 2938, 6039, 18, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which OU career [b] had Position [A] as a forward when there were 56 appearances?
SELECT oxford_united_career_[b_] FROM table_name_40 WHERE position_[a_] = "forward" AND appearances = 56
CREATE TABLE table_name_40 (oxford_united_career_ VARCHAR, b_ VARCHAR, appearances VARCHAR, position_ VARCHAR, a_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 32, 226, 2590, 834, 15129, 15, 26, 834, 2864, 49, 834, 584, 4280, 28027, 6, 3, 115, 834, 584, 4280, 28027, 6, 3179, 7, 584, 4280, 28027, 6, 1102, 834...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 32, 226, 2590, 834, 15129, 15, 26, 834, 2864, 49, 834, 6306, 115, 834, 908, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 1102, 834, 6306, 9, 834, 908, 3274, 96, 26338, 121, 3430, 3179, 7, 3274, 11526, 1, ...
Which Score in the final has an Outcome of winner, and a Date of 3 august 2013?
SELECT score_in_the_final FROM table_name_31 WHERE outcome = "winner" AND date = "3 august 2013"
CREATE TABLE table_name_31 (score_in_the_final VARCHAR, outcome VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 7, 9022, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 6, 6138, 584, 4280, 28027, 6, 833, 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, 2604, 834, 77, 834, 532, 834, 12406, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 6138, 3274, 96, 3757, 687, 121, 3430, 833, 3274, 96, 519, 14663, 2038, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Partner has a Date of 8 february 2009?
SELECT partner FROM table_name_57 WHERE date = "8 february 2009"
CREATE TABLE table_name_57 (partner VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 12300, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5793, 65, 3, 9, 7678, 13, 505, 29976, 76, 1208, 2464, 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, 2397, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 833, 3274, 96, 927, 29976, 76, 1208, 2464, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Opponent in the final has a Partner of dustin brown?
SELECT opponent_in_the_final FROM table_name_38 WHERE partner = "dustin brown"
CREATE TABLE table_name_38 (opponent_in_the_final VARCHAR, partner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 32, 102, 9977, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 6, 2397, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4495, 9977, 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, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 834, 77, 834, 532, 834, 12406, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 2397, 3274, 96, 8655, 17, 77, 4216, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Score in the final has a Surface of clay, and a Partner of martin emmrich?
SELECT score_in_the_final FROM table_name_62 WHERE surface = "clay" AND partner = "martin emmrich"
CREATE TABLE table_name_62 (score_in_the_final VARCHAR, surface VARCHAR, partner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 7, 9022, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 6, 1774, 584, 4280, 28027, 6, 2397, 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, 2604, 834, 77, 834, 532, 834, 12406, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 1774, 3274, 96, 4651, 63, 121, 3430, 2397, 3274, 96, 1635, 17, 77, 3, 15, 635, 3723, 121, 1, -100, -100, -100, -100, -100, -1...
Which Surface has a Partner of oliver marach?
SELECT surface FROM table_name_82 WHERE partner = "oliver marach"
CREATE TABLE table_name_82 (surface VARCHAR, partner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 26899, 584, 4280, 28027, 6, 2397, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 18884, 65, 3, 9, 5793, 13, 7994, 52, 3157, 1836, 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, 1774, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 2397, 3274, 96, 4172, 624, 3157, 1836, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the call sign for the frequency of 0 105.7 fm?
SELECT call_sign FROM table_name_67 WHERE frequency = "0 105.7 fm"
CREATE TABLE table_name_67 (call_sign VARCHAR, frequency VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 16482, 834, 6732, 584, 4280, 28027, 6, 7321, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 580, 1320, 21, 8, 7321, 13, 3, 632, 335, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 580, 834, 6732, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 7321, 3274, 96, 632, 335, 27220, 3, 89, 51, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who is the owner with a frequency of 0 101.1 fm?
SELECT owner FROM table_name_58 WHERE frequency = "0 101.1 fm"
CREATE TABLE table_name_58 (owner VARCHAR, frequency VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 13238, 584, 4280, 28027, 6, 7321, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 2527, 28, 3, 9, 7321, 13, 3, 632, 335, 11039, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2527, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 7321, 3274, 96, 632, 335, 11039, 3, 89, 51, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which city of license has the Kyli call sign?
SELECT city_of_license FROM table_name_98 WHERE call_sign = "kyli"
CREATE TABLE table_name_98 (city_of_license VARCHAR, call_sign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 6726, 834, 858, 834, 28062, 584, 4280, 28027, 6, 580, 834, 6732, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 690, 13, 3344, 65, 8, 11478, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 690, 834, 858, 834, 28062, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 580, 834, 6732, 3274, 96, 3781, 40, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the format for Cherry Creek Radio with frequency of 0 92.1 fm?
SELECT format FROM table_name_11 WHERE owner = "cherry creek radio" AND frequency = "0 92.1 fm"
CREATE TABLE table_name_11 (format VARCHAR, owner VARCHAR, frequency VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 8995, 584, 4280, 28027, 6, 2527, 584, 4280, 28027, 6, 7321, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1910, 21, 21743, 7682, 5061,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1910, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 2527, 3274, 96, 1703, 651, 25153, 2252, 121, 3430, 7321, 3274, 96, 632, 668, 14489, 3, 89, 51, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which format is in St. George with a frequency of 0 107.3 fm?
SELECT format FROM table_name_31 WHERE city_of_license = "st. george" AND frequency = "0 107.3 fm"
CREATE TABLE table_name_31 (format VARCHAR, city_of_license VARCHAR, frequency VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 8995, 584, 4280, 28027, 6, 690, 834, 858, 834, 28062, 584, 4280, 28027, 6, 7321, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1910, 19, 16,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1910, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 690, 834, 858, 834, 28062, 3274, 96, 7, 17, 5, 873, 1677, 15, 121, 3430, 7321, 3274, 96, 632, 335, 27914, 3, 89, 51, 121, 1, -100, -100, -100, -100, -100, ...
Which city of license has the Kyli call sign?
SELECT city_of_license FROM table_name_20 WHERE call_sign = "kyli"
CREATE TABLE table_name_20 (city_of_license VARCHAR, call_sign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 6726, 834, 858, 834, 28062, 584, 4280, 28027, 6, 580, 834, 6732, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 690, 13, 3344, 65, 8, 11478, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 690, 834, 858, 834, 28062, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 580, 834, 6732, 3274, 96, 3781, 40, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Party of republican, and a District of 7th is what elected?
SELECT elected FROM table_name_81 WHERE party = "republican" AND district = "7th"
CREATE TABLE table_name_81 (elected VARCHAR, party VARCHAR, district VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 19971, 584, 4280, 28027, 6, 1088, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3450, 13, 20237, 152, 6, 11, 3, 9, 35...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 8160, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 1088, 3274, 96, 60, 15727, 152, 121, 3430, 3939, 3274, 96, 940, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Party of republican, and a District of 5th is what highest elected?
SELECT MAX(elected) FROM table_name_39 WHERE party = "republican" AND district = "5th"
CREATE TABLE table_name_39 (elected INTEGER, party VARCHAR, district VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 19971, 3, 21342, 17966, 6, 1088, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3450, 13, 20237, 152, 6, 11, 3, 9, 357...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 19971, 61, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 1088, 3274, 96, 60, 15727, 152, 121, 3430, 3939, 3274, 96, 755, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Elected smaller than 2001, and a District of 83rd has what status?
SELECT status FROM table_name_77 WHERE elected < 2001 AND district = "83rd"
CREATE TABLE table_name_77 (status VARCHAR, elected VARCHAR, district VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 8547, 302, 584, 4280, 28027, 6, 8160, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1289, 7633, 2755, 145, 4402, 6, 11,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2637, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 8160, 3, 2, 4402, 3430, 3939, 3274, 96, 4591, 52, 26, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Status of reelected, and a Incumbent of danny marshall iii is what highest elected?
SELECT MAX(elected) FROM table_name_75 WHERE status = "reelected" AND incumbent = "danny marshall iii"
CREATE TABLE table_name_75 (elected INTEGER, status VARCHAR, incumbent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 19971, 3, 21342, 17966, 6, 2637, 584, 4280, 28027, 6, 28406, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 19318, 13, 3, 60, 19971, 6, 11, 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, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 19971, 61, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 2637, 3274, 96, 60, 19971, 121, 3430, 28406, 3274, 96, 26, 15159, 8113, 11516, 3, 23, 23, 23, 121, 1, -100, -100, -100, -100, -100, -100, ...
When has a Score of 6–3, 6–4?
SELECT date FROM table_name_39 WHERE score = "6–3, 6–4"
CREATE TABLE table_name_39 (date VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 5522, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 65, 3, 9, 17763, 13, 431, 104, 6355, 431, 104, 591, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 2604, 3274, 96, 948, 104, 6355, 431, 104, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
WHich Score has marcelo filippini mark koevermans?
SELECT score FROM table_name_18 WHERE opponents_in_the_final = "marcelo filippini mark koevermans"
CREATE TABLE table_name_18 (score VARCHAR, opponents_in_the_final VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 7, 9022, 584, 4280, 28027, 6, 16383, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3, 15313, 362, 17763, 65, 3157, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2606, 549, 17444, 427, 16383, 834, 77, 834, 532, 834, 12406, 3274, 96, 1635, 7125, 32, 361, 7446, 3180, 23, 3946, 3, 157, 32, 3258, 348, 7, 121, 1, -100, -100, -100, -100, -100, -...
WHich Tournament has a Partnering of diego pérez and a Opponents in the final of christer allgardh carl limberger?
SELECT tournament FROM table_name_39 WHERE partnering = "diego pérez" AND opponents_in_the_final = "christer allgardh carl limberger"
CREATE TABLE table_name_39 (tournament VARCHAR, partnering VARCHAR, opponents_in_the_final VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 17, 1211, 20205, 17, 584, 4280, 28027, 6, 3, 26361, 584, 4280, 28027, 6, 16383, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 61, 3, 32105, 32106, 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, 5892, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 3, 26361, 3274, 96, 2498, 839, 3, 3890, 2638, 121, 3430, 16383, 834, 77, 834, 532, 834, 12406, 3274, 96, 15294, 49, 66, 6390, 107, 443, 40, 3, 4941, 16170, ...
Which Opponents in the final has a Partnering of tomás carbonell on march 28, 1995?
SELECT opponents_in_the_final FROM table_name_18 WHERE partnering = "tomás carbonell" AND date = "march 28, 1995"
CREATE TABLE table_name_18 (opponents_in_the_final VARCHAR, partnering VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 32, 102, 9977, 7, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 6, 3, 26361, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 16383, 834, 77, 834, 532, 834, 12406, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 3, 26361, 3274, 96, 235, 28061, 4146, 3820, 121, 3430, 833, 3274, 96, 51, 7064, 13719, 7273, 121, 1, -100, -100, -100, -100, -...
What is the Score of an Opponent\ in the final of jordi arrese àlex corretja?
SELECT score FROM table_name_25 WHERE opponents_in_the_final = "jordi arrese àlex corretja"
CREATE TABLE table_name_25 (score VARCHAR, opponents_in_the_final VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 7, 9022, 584, 4280, 28027, 6, 16383, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 17763, 13, 46, 449...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2604, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 16383, 834, 77, 834, 532, 834, 12406, 3274, 96, 12775, 26, 23, 1584, 60, 7, 15, 3, 85, 109, 226, 4301, 60, 17, 1191, 121, 1, -100, -100, -100, -100, -100, ...
Which To par has a Place in t9 and a Country of Spain?
SELECT to_par FROM table_name_55 WHERE place = "t9" AND country = "spain"
CREATE TABLE table_name_55 (to_par VARCHAR, place VARCHAR, country VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 235, 834, 1893, 584, 4280, 28027, 6, 286, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 304, 260, 65, 3, 9, 3399...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 12, 834, 1893, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 286, 3274, 96, 17, 1298, 121, 3430, 684, 3274, 96, 14147, 77, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which To par has a Place in 8?
SELECT to_par FROM table_name_68 WHERE place = "8"
CREATE TABLE table_name_68 (to_par VARCHAR, place VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 235, 834, 1893, 584, 4280, 28027, 6, 286, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 304, 260, 65, 3, 9, 3399, 16, 505, 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, 12, 834, 1893, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 286, 3274, 96, 927, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
WHo is Player that has a Place of t9 in united states?
SELECT player FROM table_name_74 WHERE place = "t9" AND country = "united states"
CREATE TABLE table_name_74 (player VARCHAR, place VARCHAR, country VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 20846, 584, 4280, 28027, 6, 286, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 549, 4489, 19, 12387, 24, 65, 3, 9, 339...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1959, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 286, 3274, 96, 17, 1298, 121, 3430, 684, 3274, 96, 15129, 15, 26, 2315, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What ERP W has a 95.1 MHZ frequency?
SELECT erp_w FROM table_name_62 WHERE frequency_mhz = 95.1
CREATE TABLE table_name_62 (erp_w VARCHAR, frequency_mhz VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 49, 102, 834, 210, 584, 4280, 28027, 6, 7321, 834, 51, 107, 172, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 22568, 549, 65, 3, 9, 668, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 49, 102, 834, 210, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 7321, 834, 51, 107, 172, 3274, 668, 20519, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What call sign is licensed in soledad, california?
SELECT call_sign FROM table_name_65 WHERE city_of_license = "soledad, california"
CREATE TABLE table_name_65 (call_sign VARCHAR, city_of_license VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 16482, 834, 6732, 584, 4280, 28027, 6, 690, 834, 858, 834, 28062, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 580, 1320, 19, 6681, 16, 4199...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 580, 834, 6732, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 690, 834, 858, 834, 28062, 3274, 96, 10294, 14677, 6, 3, 15534, 1161, 29, 23, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the MHZ frequency in carmel, california with an ERP W over 10?
SELECT AVG(frequency_mhz) FROM table_name_53 WHERE city_of_license = "carmel, california" AND erp_w > 10
CREATE TABLE table_name_53 (frequency_mhz INTEGER, city_of_license VARCHAR, erp_w VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 30989, 834, 51, 107, 172, 3, 21342, 17966, 6, 690, 834, 858, 834, 28062, 584, 4280, 28027, 6, 3, 49, 102, 834, 210, 584, 4280, 28027, 61, 3, 32105, 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, 71, 17217, 599, 30989, 834, 51, 107, 172, 61, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 690, 834, 858, 834, 28062, 3274, 96, 1720, 2341, 6, 3, 15534, 1161, 29, 23, 9, 121, 3430, 3, 49, 102, 834, 210, 24...
What class has a MHZ frequency under 103.1 licensed in morro bay, california?
SELECT class FROM table_name_4 WHERE frequency_mhz < 103.1 AND city_of_license = "morro bay, california"
CREATE TABLE table_name_4 (class VARCHAR, frequency_mhz VARCHAR, city_of_license VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 4057, 584, 4280, 28027, 6, 7321, 834, 51, 107, 172, 584, 4280, 28027, 6, 690, 834, 858, 834, 28062, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 853, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 7321, 834, 51, 107, 172, 3, 2, 335, 18495, 3430, 690, 834, 858, 834, 28062, 3274, 96, 2528, 52, 32, 10210, 6, 3, 15534, 1161, 29, 23, 9, 121, 1, -100, -100,...
How many averages have recs smaller than 26, and a Player of reggie brown, and a Long smaller than 40?
SELECT COUNT(avg) FROM table_name_45 WHERE rec < 26 AND player = "reggie brown" AND long < 40
CREATE TABLE table_name_45 (avg VARCHAR, long VARCHAR, rec VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 9, 208, 122, 584, 4280, 28027, 6, 307, 584, 4280, 28027, 6, 5026, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 9, 208, 122, 61, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 5026, 3, 2, 2208, 3430, 1959, 3274, 96, 60, 15406, 15, 4216, 121, 3430, 307, 3, 2, 1283, 1, -100, -100, -100, -100, -100, -100,...
Which Yards has an Avg larger than 7, and a Long smaller than 60, and a Rec larger than 19, and a Player of correll buckhalter?
SELECT AVG(yards) FROM table_name_90 WHERE avg > 7 AND long < 60 AND rec > 19 AND player = "correll buckhalter"
CREATE TABLE table_name_90 (yards INTEGER, player VARCHAR, rec VARCHAR, avg VARCHAR, long VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 6636, 7, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 6, 5026, 584, 4280, 28027, 6, 3, 9, 208, 122, 584, 4280, 28027, 6, 307, 584, 4280, 28027, 61, 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, 71, 17217, 599, 6636, 7, 61, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 3, 9, 208, 122, 2490, 489, 3430, 307, 3, 2, 1640, 3430, 5026, 2490, 957, 3430, 1959, 3274, 96, 509, 21290, 3, 13863, 24611, 121, 1, ...
Which Yards have an avg of 11.8, and a Player of brent celek, and a Long larger than 44?
SELECT AVG(yards) FROM table_name_2 WHERE avg = 11.8 AND player = "brent celek" AND long > 44
CREATE TABLE table_name_2 (yards INTEGER, long VARCHAR, avg VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 6636, 7, 3, 21342, 17966, 6, 307, 584, 4280, 28027, 6, 3, 9, 208, 122, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 6636, 7, 61, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 3, 9, 208, 122, 3274, 209, 16253, 3430, 1959, 3274, 96, 115, 5320, 1235, 157, 121, 3430, 307, 2490, 8537, 1, -100, -100, -100, -100, -...
Which Yards is the highest one that has a Rec smaller than 54, and a Long smaller than 5, and a Player of todd herremans, and an Avg larger than 1?
SELECT MAX(yards) FROM table_name_51 WHERE rec < 54 AND long < 5 AND player = "todd herremans" AND avg > 1
CREATE TABLE table_name_51 (yards INTEGER, avg VARCHAR, player VARCHAR, rec VARCHAR, long VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 6636, 7, 3, 21342, 17966, 6, 3, 9, 208, 122, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 6, 5026, 584, 4280, 28027, 6, 307, 584, 4280, 28027, 61, 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, 4800, 4, 599, 6636, 7, 61, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 5026, 3, 2, 10630, 3430, 307, 3, 2, 305, 3430, 1959, 3274, 96, 235, 26, 26, 160, 60, 348, 7, 121, 3430, 3, 9, 208, 122, 2490, 209, ...
What is the high rebounds with a record that is 18-14?
SELECT high_rebounds FROM table_name_44 WHERE record = "18-14"
CREATE TABLE table_name_44 (high_rebounds VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 6739, 834, 23768, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 306, 3, 23768, 28, 3, 9, 1368, 24, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 306, 834, 23768, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 1368, 3274, 96, 2606, 11590, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the high points from a game of 30?
SELECT high_points FROM table_name_59 WHERE game = 30
CREATE TABLE table_name_59 (high_points VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 6739, 834, 2700, 7, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 306, 979, 45, 3, 9, 467, 13, 604, 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, 306, 834, 2700, 7, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 467, 3274, 604, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the score for the game against Malacca at the Klfa Stadium, Cheras?
SELECT score FROM table_name_96 WHERE opponent = "malacca" AND venue = "klfa stadium, cheras"
CREATE TABLE table_name_96 (score VARCHAR, opponent VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 7, 9022, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 21, 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, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 15264, 3274, 96, 1982, 6004, 9, 121, 3430, 5669, 3274, 96, 157, 40, 89, 9, 14939, 6, 3, 1703, 9, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which date held the match at the City Stadium, Georgetown?
SELECT date FROM table_name_7 WHERE venue = "city stadium, georgetown"
CREATE TABLE table_name_7 (date VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 5522, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 833, 1213, 8, 1588, 44, 8, 896, 12750, 6, 29218, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 5669, 3274, 96, 6726, 14939, 6, 873, 1677, 15, 3540, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which competition had an opponent of Police at the Selayang Stadium?
SELECT competition FROM table_name_31 WHERE opponent = "police" AND venue = "selayang stadium"
CREATE TABLE table_name_31 (competition VARCHAR, opponent VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 287, 4995, 4749, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2259, 141, 46, 15264, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2259, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 15264, 3274, 96, 3003, 565, 121, 3430, 5669, 3274, 96, 7, 15, 5595, 1468, 14939, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What the average amount of field goals Clark has if he has less than 3 touch downs and less than 5 points?
SELECT AVG(field_goals) FROM table_name_25 WHERE touchdowns < 3 AND player = "clark" AND points < 5
CREATE TABLE table_name_25 (field_goals INTEGER, points VARCHAR, touchdowns VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 1846, 834, 839, 5405, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 6, 19396, 7, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 1846, 834, 839, 5405, 61, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 19396, 7, 3, 2, 220, 3430, 1959, 3274, 96, 23982, 157, 121, 3430, 979, 3, 2, 305, 1, -100, -100, -100, -100, -100, -100,...