NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
What score did Jack Nicklaus have when he placed t6?
SELECT score FROM table_name_92 WHERE place = "t6" AND player = "jack nicklaus"
CREATE TABLE table_name_92 (score VARCHAR, place VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 7, 9022, 584, 4280, 28027, 6, 286, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2604, 410, 4496, 7486, 40, 2064, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2604, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 286, 3274, 96, 17, 948, 121, 3430, 1959, 3274, 96, 9325, 3, 11191, 40, 2064, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How much money has a to par of E?
SELECT COUNT(money___) AS $__ FROM table_name_14 WHERE to_par = "e"
CREATE TABLE table_name_14 (money___ VARCHAR, to_par VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 28442, 834, 834, 834, 584, 4280, 28027, 6, 12, 834, 1893, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 231, 540, 65, 3, 9, 12, 260, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 28442, 834, 834, 834, 61, 6157, 1514, 834, 834, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 12, 834, 1893, 3274, 96, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the location on October 16?
SELECT location FROM table_name_29 WHERE date = "october 16"
CREATE TABLE table_name_29 (location VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 14836, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1128, 30, 1797, 898, 58, 1, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 833, 3274, 96, 32, 75, 235, 1152, 898, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the winner when the result was 56-0 before 1935?
SELECT winner FROM table_name_53 WHERE year < 1935 AND result = "56-0"
CREATE TABLE table_name_53 (winner VARCHAR, year VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 3757, 687, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 4668, 116, 8, 741, 47,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4668, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 215, 3, 2, 27710, 3430, 741, 3274, 96, 755, 28625, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the winner in philadelphia municipal stadium in 1939?
SELECT winner FROM table_name_31 WHERE location = "philadelphia municipal stadium" AND year = 1939
CREATE TABLE table_name_31 (winner VARCHAR, location VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 3757, 687, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 4668, 16, 3, 18118, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4668, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 1128, 3274, 96, 18118, 15311, 11692, 9, 10516, 14939, 121, 3430, 215, 3274, 957, 3288, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the earliest year that the result 21-17?
SELECT MIN(year) FROM table_name_51 WHERE result = "21-17"
CREATE TABLE table_name_51 (year INTEGER, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 1201, 3, 21342, 17966, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 3, 16454, 215, 24, 8, 741, 1401, 10794, 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, 3, 17684, 599, 1201, 61, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 741, 3274, 96, 2658, 10794, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the location after 1934 that Philadelphia Eagles lost on October 15?
SELECT location FROM table_name_98 WHERE year > 1934 AND loser = "philadelphia eagles" AND date = "october 15"
CREATE TABLE table_name_98 (location VARCHAR, date VARCHAR, year VARCHAR, loser VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 14836, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 2615, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 215, 2490, 28828, 3430, 2615, 52, 3274, 96, 18118, 15311, 11692, 9, 3, 15, 9, 3537, 7, 121, 3430, 833, 3274, 96, 32, 75, 235, 1152, 627, 121, 1, -100, -100,...
When did chang myon (장면) leave office?
SELECT left_office FROM table_name_96 WHERE romanized__hangul_ = "chang myon (장면)"
CREATE TABLE table_name_96 (left_office VARCHAR, romanized__hangul_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 17068, 834, 19632, 584, 4280, 28027, 6, 3408, 1601, 834, 834, 9270, 83, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 410, 3, 75, 9270, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 646, 834, 19632, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 3408, 1601, 834, 834, 9270, 83, 834, 3274, 96, 75, 9270, 82, 106, 41, 2, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When did the vice president with a vice over 6 take office?
SELECT took_office FROM table_name_53 WHERE vice > 6
CREATE TABLE table_name_53 (took_office VARCHAR, vice INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 235, 1825, 834, 19632, 584, 4280, 28027, 6, 6444, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 366, 410, 8, 6444, 2753, 28, 3, 9, 6444, 147, 431...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 808, 834, 19632, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 6444, 2490, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What province in Tumbes has less than 11 districts and a UBIGEO of 2401?
SELECT province FROM table_name_9 WHERE districts < 11 AND region = "tumbes" AND ubigeo = 2401
CREATE TABLE table_name_9 (province VARCHAR, ubigeo VARCHAR, districts VARCHAR, region VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 1409, 2494, 565, 584, 4280, 28027, 6, 3, 8371, 397, 32, 584, 4280, 28027, 6, 14126, 584, 4280, 28027, 6, 1719, 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, 7985, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 14126, 3, 2, 850, 3430, 1719, 3274, 96, 17, 5937, 15, 7, 121, 3430, 3, 8371, 397, 32, 3274, 997, 4542, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is Chepén's average UBIGEO?
SELECT AVG(ubigeo) FROM table_name_34 WHERE province = "chepén"
CREATE TABLE table_name_34 (ubigeo INTEGER, province VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 8371, 397, 32, 3, 21342, 17966, 6, 7985, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 2556, 3890, 29, 31, 7, 1348, 3, 10134, 8834, 131...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 8371, 397, 32, 61, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 7985, 3274, 96, 1033, 3890, 29, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the region for Chepén with 3 districts?
SELECT region FROM table_name_63 WHERE districts = 3 AND capital = "chepén"
CREATE TABLE table_name_63 (region VARCHAR, districts VARCHAR, capital VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 18145, 584, 4280, 28027, 6, 14126, 584, 4280, 28027, 6, 1784, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1719, 21, 2556, 3890, 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, 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, 3891, 549, 17444, 427, 14126, 3274, 220, 3430, 1784, 3274, 96, 1033, 3890, 29, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Diameter (km) of the Valle with a Longitude of 152.5e named before 1997?
SELECT MAX(diameter__km_) FROM table_name_52 WHERE longitude = "152.5e" AND year_named < 1997
CREATE TABLE table_name_52 (diameter__km_ INTEGER, longitude VARCHAR, year_named VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 26, 23, 9, 4401, 834, 834, 5848, 834, 3, 21342, 17966, 6, 307, 20341, 584, 4280, 28027, 6, 215, 834, 4350, 26, 584, 4280, 28027, 61, 3, 32105, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 26, 23, 9, 4401, 834, 834, 5848, 834, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 307, 20341, 3274, 96, 1808, 15967, 15, 121, 3430, 215, 834, 4350, 26, 3, 2, 6622, 1, -100, -100, -100, -...
What is the Year named of the Ganga Valles?
SELECT MAX(year_named) FROM table_name_39 WHERE name = "ganga valles"
CREATE TABLE table_name_39 (year_named INTEGER, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 1201, 834, 4350, 26, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2929, 2650, 13, 8, 17423, 9, 3833, 965, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1201, 834, 4350, 26, 61, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 564, 3274, 96, 3810, 9, 3, 2165, 965, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Latitude of the Alajen Vallis named after 1997?
SELECT latitude FROM table_name_86 WHERE year_named > 1997 AND name = "alajen vallis"
CREATE TABLE table_name_86 (latitude VARCHAR, year_named VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 521, 6592, 584, 4280, 28027, 6, 215, 834, 4350, 26, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 325, 659...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 50, 6592, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 215, 834, 4350, 26, 2490, 6622, 3430, 564, 3274, 96, 138, 9, 354, 35, 409, 195, 159, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the release date with par116 as the cat. #?
SELECT release_date FROM table_name_96 WHERE cat__number = "par116"
CREATE TABLE table_name_96 (release_date VARCHAR, cat__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 21019, 834, 5522, 584, 4280, 28027, 6, 1712, 834, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1576, 833, 28, 260, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1576, 834, 5522, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 1712, 834, 834, 5525, 1152, 3274, 96, 1893, 20159, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the title released on 24 July 2005?
SELECT title FROM table_name_87 WHERE release_date = "24 july 2005"
CREATE TABLE table_name_87 (title VARCHAR, release_date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4225, 41, 21869, 584, 4280, 28027, 6, 1576, 834, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2233, 1883, 30, 997, 1718, 3105, 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, 2233, 21680, 953, 834, 4350, 834, 4225, 549, 17444, 427, 1576, 834, 5522, 3274, 96, 2266, 3, 2047, 120, 3105, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is Record, when High Points is "Thaddeus Young (19)", and when Team is "@ Orlando"?
SELECT record FROM table_name_2 WHERE high_points = "thaddeus young (19)" AND team = "@ orlando"
CREATE TABLE table_name_2 (record VARCHAR, high_points VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 60, 7621, 584, 4280, 28027, 6, 306, 834, 2700, 7, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 11392, 6, 116,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1368, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 306, 834, 2700, 7, 3274, 96, 189, 13039, 15, 302, 1021, 2863, 61, 121, 3430, 372, 3274, 96, 1741, 3, 32, 7721, 32, 121, 1, -100, -100, -100, -100, -100, -100...
What is High Rebounds, when Location Attendance is "Time Warner Cable Arena 10,848"?
SELECT high_rebounds FROM table_name_14 WHERE location_attendance = "time warner cable arena 10,848"
CREATE TABLE table_name_14 (high_rebounds VARCHAR, location_attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 6739, 834, 23768, 584, 4280, 28027, 6, 1128, 834, 15116, 663, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 1592, 419, 6115, 7, 6, 116, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 306, 834, 23768, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 1128, 834, 15116, 663, 3274, 96, 715, 615, 687, 4807, 15134, 10372, 927, 3707, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Can you tell me the lowest Losses that has the Gains smaller than 0?
SELECT MIN(losses) FROM table_name_24 WHERE gains < 0
CREATE TABLE table_name_24 (losses INTEGER, gains INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 2298, 2260, 3, 21342, 17966, 6, 11391, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 1072, 25, 817, 140, 8, 7402, 3144, 2260, 24, 65, 8, 22097, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 2298, 2260, 61, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 11391, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
what is the record when marc gasol (8) had the high rebounds?
SELECT record FROM table_name_23 WHERE high_rebounds = "marc gasol (8)"
CREATE TABLE table_name_23 (record VARCHAR, high_rebounds VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 60, 7621, 584, 4280, 28027, 6, 306, 834, 23768, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 1368, 116, 14124, 1807, 32, 40, 3, 280...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1368, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 306, 834, 23768, 3274, 96, 1635, 75, 1807, 32, 40, 3, 28007, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the score on march 8?
SELECT score FROM table_name_40 WHERE date = "march 8"
CREATE TABLE table_name_40 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 2604, 30, 10556, 505, 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, 2445, 549, 17444, 427, 833, 3274, 96, 51, 7064, 505, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
who had the high assists on march 30?
SELECT high_assists FROM table_name_78 WHERE date = "march 30"
CREATE TABLE table_name_78 (high_assists VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 6739, 834, 6500, 7, 17, 7, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 113, 141, 8, 306, 13041, 30, 10556, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 306, 834, 6500, 7, 17, 7, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 833, 3274, 96, 51, 7064, 604, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which location has a capacity greater than 51,500?
SELECT location FROM table_name_43 WHERE capacity > 51 OFFSET 500
CREATE TABLE table_name_43 (location VARCHAR, capacity INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 14836, 584, 4280, 28027, 6, 2614, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 4073, 1128, 65, 3, 9, 2614, 2123, 145, 11696, 6, 2560, 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, 1128, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 2614, 2490, 11696, 3, 15316, 20788, 2899, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who was the rider who had less than 30 laps, ended in an accident with a car manufactured by yamaha on a grid larger than 3?
SELECT rider FROM table_name_30 WHERE laps < 30 AND manufacturer = "yamaha" AND time = "accident" AND grid > 3
CREATE TABLE table_name_30 (rider VARCHAR, grid VARCHAR, time VARCHAR, laps VARCHAR, manufacturer VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 4055, 49, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 6, 4818, 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, 2564, 52, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 14941, 7, 3, 2, 604, 3430, 4818, 3274, 96, 22990, 1024, 121, 3430, 97, 3274, 96, 6004, 4215, 121, 3430, 8634, 2490, 220, 1, -100, -100, -100, -100, -100, ...
Who was the manufacturer for the race on grid 12?
SELECT manufacturer FROM table_name_49 WHERE grid = 12
CREATE TABLE table_name_49 (manufacturer VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 348, 76, 8717, 450, 49, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 4818, 21, 8, 1964, 30, 8634, 586, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4818, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 8634, 3274, 586, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who was the manufacturer for the car that dani pedrosa did less than 9 laps in?
SELECT manufacturer FROM table_name_86 WHERE laps < 9 AND rider = "dani pedrosa"
CREATE TABLE table_name_86 (manufacturer VARCHAR, laps VARCHAR, rider VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 348, 76, 8717, 450, 49, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 6, 2564, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4818, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 14941, 7, 3, 2, 668, 3430, 2564, 52, 3274, 96, 26, 2738, 3, 3138, 1859, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many laps did the driver with the yamaha manufacturer go on grid 3?
SELECT laps FROM table_name_61 WHERE manufacturer = "yamaha" AND grid = 3
CREATE TABLE table_name_61 (laps VARCHAR, manufacturer VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 8478, 7, 584, 4280, 28027, 6, 4818, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 14941, 7, 410, 8, 2535, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 14941, 7, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 4818, 3274, 96, 22990, 1024, 121, 3430, 8634, 3274, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the time in Baltimore?
SELECT time FROM table_name_9 WHERE city = "baltimore"
CREATE TABLE table_name_9 (time VARCHAR, city VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 715, 584, 4280, 28027, 6, 690, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 97, 16, 15549, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 97, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 690, 3274, 96, 3849, 17, 23, 3706, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What date was the score 1-8?
SELECT date FROM table_name_96 WHERE score = "1-8"
CREATE TABLE table_name_96 (date VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 5522, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 833, 47, 8, 2604, 209, 6039, 58, 1, 0, 0, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 2604, 3274, 96, 536, 6039, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the event where the opponent was Chris Barden?
SELECT event FROM table_name_12 WHERE opponent = "chris barden"
CREATE TABLE table_name_12 (event VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 15, 2169, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 605, 213, 8, 15264, 47, 4409, 1386, 537, 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, 605, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 15264, 3274, 96, 524, 52, 159, 1207, 537, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the Surface of the Court in Napoli?
SELECT surface FROM table_name_26 WHERE tournament = "napoli"
CREATE TABLE table_name_26 (surface VARCHAR, tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 26899, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 18884, 13, 8, 2243, 16, 1823, 3003, 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, 1774, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 5892, 3274, 96, 29, 9, 3003, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the Outcome of the game with a Score of 6–4, 6–4?
SELECT outcome FROM table_name_45 WHERE score = "6–4, 6–4"
CREATE TABLE table_name_45 (outcome VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 670, 287, 15, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3387, 287, 15, 13, 8, 467, 28, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6138, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 2604, 3274, 96, 948, 104, 8525, 431, 104, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Outcome of the game against Frederic Jeanclaude?
SELECT outcome FROM table_name_55 WHERE opponent = "frederic jeanclaude"
CREATE TABLE table_name_55 (outcome VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 670, 287, 15, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3387, 287, 15, 13, 8, 467, 581, 12264, 15, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6138, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 15264, 3274, 96, 89, 60, 588, 447, 3, 26459, 75, 12513, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Opponent in a game with a Score of 6–2, 6–2?
SELECT opponent FROM table_name_66 WHERE score = "6–2, 6–2"
CREATE TABLE table_name_66 (opponent VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 32, 102, 9977, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4495, 9977, 16, 3, 9, 467, 28, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 2604, 3274, 96, 948, 104, 4482, 431, 104, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the Surface of the court against Ivo Klec with a Score of 6–3, 6–3?
SELECT surface FROM table_name_61 WHERE opponent = "ivo klec" AND score = "6–3, 6–3"
CREATE TABLE table_name_61 (surface VARCHAR, opponent VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 26899, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 18884, 13, 8, 1614, 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, 1774, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 15264, 3274, 96, 23, 1621, 3, 9434, 75, 121, 3430, 2604, 3274, 96, 948, 104, 6355, 431, 104, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who was the player with a score of 70-69=139?
SELECT player FROM table_name_37 WHERE score = 70 - 69 = 139
CREATE TABLE table_name_37 (player VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 20846, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 1959, 28, 3, 9, 2604, 13, 2861, 18, 3951, 2423, 240...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1959, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 2604, 3274, 2861, 3, 18, 3, 3951, 3274, 3, 24090, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What country did Bart Bryant with a score of 69-70=139 belong to?
SELECT country FROM table_name_37 WHERE score = 69 - 70 = 139 AND player = "bart bryant"
CREATE TABLE table_name_37 (country VARCHAR, player VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 17529, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 684, 410, 1386, 17, 15961, 17, 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, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 2604, 3274, 3, 3951, 3, 18, 2861, 3274, 3, 24090, 3430, 1959, 3274, 96, 1047, 17, 6397, 63, 288, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the country that the player with a score of 70-69=139 from?
SELECT country FROM table_name_43 WHERE score = 70 - 69 = 139
CREATE TABLE table_name_43 (country VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 17529, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 684, 24, 8, 1959, 28, 3, 9, 2604, 13, 2861, 18, 39...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 684, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 2604, 3274, 2861, 3, 18, 3, 3951, 3274, 3, 24090, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In what place did the player with a score of 66-67=133 come in?
SELECT place FROM table_name_98 WHERE score = 66 - 67 = 133
CREATE TABLE table_name_98 (place VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 4687, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 125, 286, 410, 8, 1959, 28, 3, 9, 2604, 13, 3, 3539, 18, 37...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 286, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 2604, 3274, 3, 3539, 3, 18, 3, 3708, 3274, 3, 22974, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What country was the player from who placed t3 with a score of 70-68=138?
SELECT country FROM table_name_81 WHERE place = "t3" AND score = 70 - 68 = 138
CREATE TABLE table_name_81 (country VARCHAR, place VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 17529, 584, 4280, 28027, 6, 286, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 684, 47, 8, 1959, 45, 113, 2681, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 684, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 286, 3274, 96, 17, 519, 121, 3430, 2604, 3274, 2861, 3, 18, 3, 3651, 3274, 3, 22744, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the score for the player from Scotland?
SELECT score FROM table_name_76 WHERE country = "scotland"
CREATE TABLE table_name_76 (score VARCHAR, country VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 7, 9022, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 21, 8, 1959, 45, 8288, 58, 1, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 684, 3274, 96, 7, 4310, 40, 232, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What week had a game that was played on November 11, 1962?
SELECT AVG(week) FROM table_name_86 WHERE date = "november 11, 1962"
CREATE TABLE table_name_86 (week INTEGER, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 8041, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 471, 141, 3, 9, 467, 24, 47, 1944, 30, 1671, 9694, 20236, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 8041, 61, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 833, 3274, 96, 5326, 18247, 9694, 20236, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who is the author of Bludgeoning Angel Dokuro-Chan?
SELECT author FROM table_name_49 WHERE title = "bludgeoning angel dokuro-chan"
CREATE TABLE table_name_49 (author VARCHAR, title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 17415, 584, 4280, 28027, 6, 2233, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 2291, 13, 10689, 26, 397, 106, 53, 5126, 531, 10923, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2291, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 2233, 3274, 96, 115, 40, 13164, 106, 53, 11831, 103, 10923, 32, 18, 8694, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the manner of departure for the outgoing manager, miguel brindisi?
SELECT manner_of_departure FROM table_name_24 WHERE outgoing_manager = "miguel brindisi"
CREATE TABLE table_name_24 (manner_of_departure VARCHAR, outgoing_manager VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 2434, 49, 834, 858, 834, 221, 2274, 1462, 584, 4280, 28027, 6, 91, 9545, 834, 24185, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 3107, 834, 858, 834, 221, 2274, 1462, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 91, 9545, 834, 24185, 3274, 96, 51, 15795, 40, 25799, 26, 159, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who was the outgoing manager for the team, necaxa?
SELECT outgoing_manager FROM table_name_28 WHERE team = "necaxa"
CREATE TABLE table_name_28 (outgoing_manager VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 670, 9545, 834, 24185, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 91, 9545, 2743, 21, 8, 372, 6, 9705,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 91, 9545, 834, 24185, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 372, 3274, 96, 29, 15, 658, 226, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who was the winner when the finalist was fsv frankfurt?
SELECT winner FROM table_name_31 WHERE finalist = "fsv frankfurt"
CREATE TABLE table_name_31 (winner VARCHAR, finalist VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 3757, 687, 584, 4280, 28027, 6, 804, 343, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 4668, 116, 8, 804, 343, 47, 3, 89, 7, 208...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4668, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 804, 343, 3274, 96, 89, 7, 208, 3, 89, 6254, 9827, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the finalist when the winner was First Vienna FC?
SELECT finalist FROM table_name_83 WHERE winner = "first vienna fc"
CREATE TABLE table_name_83 (finalist VARCHAR, winner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 12406, 343, 584, 4280, 28027, 6, 4668, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 804, 343, 116, 8, 4668, 47, 1485, 19500, 7914, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 804, 343, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 4668, 3274, 96, 14672, 2240, 29, 29, 9, 3, 89, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How did the manager replaced by Wolfgang Frank depart?
SELECT manner_of_departure FROM table_name_93 WHERE replaced_by = "wolfgang frank"
CREATE TABLE table_name_93 (manner_of_departure VARCHAR, replaced_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 2434, 49, 834, 858, 834, 221, 2274, 1462, 584, 4280, 28027, 6, 5821, 834, 969, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 410, 8, 2743, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3107, 834, 858, 834, 221, 2274, 1462, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 5821, 834, 969, 3274, 96, 19747, 3810, 3, 89, 6254, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was hired to fill the spot that became vacant on 3 March 2009?
SELECT replaced_by FROM table_name_11 WHERE date_of_vacancy = "3 march 2009"
CREATE TABLE table_name_11 (replaced_by VARCHAR, date_of_vacancy VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 60, 4687, 26, 834, 969, 584, 4280, 28027, 6, 833, 834, 858, 834, 29685, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 10626, 12, 14, 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, 5821, 834, 969, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 833, 834, 858, 834, 29685, 3274, 96, 519, 10556, 2464, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the name of the person that was appointed on 13 May 2009?
SELECT replaced_by FROM table_name_74 WHERE date_of_appointment = "13 may 2009"
CREATE TABLE table_name_74 (replaced_by VARCHAR, date_of_appointment VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 60, 4687, 26, 834, 969, 584, 4280, 28027, 6, 833, 834, 858, 834, 9, 102, 2700, 297, 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, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5821, 834, 969, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 833, 834, 858, 834, 9, 102, 2700, 297, 3274, 96, 2368, 164, 2464, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How did the manager replaced by Michael Oenning depart?
SELECT manner_of_departure FROM table_name_56 WHERE replaced_by = "michael oenning"
CREATE TABLE table_name_56 (manner_of_departure VARCHAR, replaced_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 2434, 49, 834, 858, 834, 221, 2274, 1462, 584, 4280, 28027, 6, 5821, 834, 969, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 410, 8, 2743, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3107, 834, 858, 834, 221, 2274, 1462, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 5821, 834, 969, 3274, 96, 51, 362, 9, 15, 40, 3, 32, 15, 9416, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the name of the manager that was replaced by Michael Oenning?
SELECT outgoing_manager FROM table_name_62 WHERE replaced_by = "michael oenning"
CREATE TABLE table_name_62 (outgoing_manager VARCHAR, replaced_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 670, 9545, 834, 24185, 584, 4280, 28027, 6, 5821, 834, 969, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 2743, 24, 47, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 91, 9545, 834, 24185, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 5821, 834, 969, 3274, 96, 51, 362, 9, 15, 40, 3, 32, 15, 9416, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Home Team has a Game of game 1?
SELECT home_team FROM table_name_24 WHERE game = "game 1"
CREATE TABLE table_name_24 (home_team VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1210, 2271, 65, 3, 9, 4435, 13, 467, 209, 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, 234, 834, 11650, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 467, 3274, 96, 7261, 209, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Game has a Home Team of san francisco, and a Date of april 22?
SELECT game FROM table_name_80 WHERE home_team = "san francisco" AND date = "april 22"
CREATE TABLE table_name_80 (game VARCHAR, home_team VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 7261, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4435, 65, 3, 9, 1210, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 467, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 234, 834, 11650, 3274, 96, 7, 152, 2515, 11389, 3523, 121, 3430, 833, 3274, 96, 9, 2246, 40, 1630, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which Road Team has a Home Team of boston, and a Result of 124-101?
SELECT road_team FROM table_name_91 WHERE home_team = "boston" AND result = "124-101"
CREATE TABLE table_name_91 (road_team VARCHAR, home_team VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 8635, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2409, 2271, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1373, 834, 11650, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 234, 834, 11650, 3274, 96, 115, 32, 4411, 121, 3430, 741, 3274, 96, 22504, 18, 19621, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Game has a Home Team of san francisco, and a Date of april 22?
SELECT game FROM table_name_22 WHERE home_team = "san francisco" AND date = "april 22"
CREATE TABLE table_name_22 (game VARCHAR, home_team VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 7261, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4435, 65, 3, 9, 1210, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 467, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 234, 834, 11650, 3274, 96, 7, 152, 2515, 11389, 3523, 121, 3430, 833, 3274, 96, 9, 2246, 40, 1630, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which Result has a Road Team of san francisco, and a Game of game 2?
SELECT result FROM table_name_77 WHERE road_team = "san francisco" AND game = "game 2"
CREATE TABLE table_name_77 (result VARCHAR, road_team VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 1373, 834, 11650, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 3, 20119, 65...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 741, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 1373, 834, 11650, 3274, 96, 7, 152, 2515, 11389, 3523, 121, 3430, 467, 3274, 96, 7261, 204, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Home Team has a Result of 124-101?
SELECT home_team FROM table_name_10 WHERE result = "124-101"
CREATE TABLE table_name_10 (home_team VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1210, 2271, 65, 3, 9, 3, 20119, 13, 3, 22504, 18...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 741, 3274, 96, 22504, 18, 19621, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total attendance in a week less than 5 when the result was l 24-20?
SELECT COUNT(attendance) FROM table_name_16 WHERE result = "l 24-20" AND week < 5
CREATE TABLE table_name_16 (attendance VARCHAR, result VARCHAR, week VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 15116, 663, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, 11364, 16, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 741, 3274, 96, 40, 997, 7988, 121, 3430, 471, 3, 2, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the largest week with the Atlanta Falcons as the opponent?
SELECT MAX(week) FROM table_name_90 WHERE opponent = "atlanta falcons"
CREATE TABLE table_name_90 (week INTEGER, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 8041, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2015, 471, 28, 8, 9673, 22150, 7, 38, 8, 15264, 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, 8041, 61, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 15264, 3274, 96, 144, 6761, 9, 12553, 8056, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total attendance in a week greater than 1 with an opponent of Philadelphia Eagles?
SELECT COUNT(attendance) FROM table_name_92 WHERE week > 1 AND opponent = "philadelphia eagles"
CREATE TABLE table_name_92 (attendance VARCHAR, week VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 15116, 663, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, 11364, 16, 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, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 471, 2490, 209, 3430, 15264, 3274, 96, 18118, 15311, 11692, 9, 3, 15, 9, 3537, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100...
Which Score has an Opponent of washington capitals, and a Record of 24-34-17?
SELECT score FROM table_name_7 WHERE opponent = "washington capitals" AND record = "24-34-17"
CREATE TABLE table_name_7 (score VARCHAR, opponent VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 7, 9022, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 17763, 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, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 15264, 3274, 96, 14710, 6029, 1784, 7, 121, 3430, 1368, 3274, 96, 2266, 18, 3710, 10794, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which Joined has a Nickname of knights, and an Enrollment larger than 2,960?
SELECT SUM(joined) FROM table_name_61 WHERE nickname = "knights" AND enrollment > 2 OFFSET 960
CREATE TABLE table_name_61 (joined INTEGER, nickname VARCHAR, enrollment VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 1927, 630, 26, 3, 21342, 17966, 6, 24649, 584, 4280, 28027, 6, 17938, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5279, 15, 26, 65, 3, 9...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 1927, 630, 26, 61, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 24649, 3274, 96, 157, 7602, 7, 121, 3430, 17938, 2490, 204, 3, 15316, 20788, 3, 27699, 1, -100, -100, -100, -100, -100, -100, -10...
Which Nickname has an Enrollment smaller than 501, and a Location of clarkesville?
SELECT nickname FROM table_name_37 WHERE enrollment < 501 AND location = "clarkesville"
CREATE TABLE table_name_37 (nickname VARCHAR, enrollment VARCHAR, location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 11191, 4350, 584, 4280, 28027, 6, 17938, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7486, 4350, 65, 46, 695, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 24649, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 17938, 3, 2, 3, 20176, 3430, 1128, 3274, 96, 23982, 1050, 9727, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Joined has an Institution of abraham baldwin agricultural college, and an Enrollment smaller than 3,284?
SELECT MAX(joined) FROM table_name_96 WHERE institution = "abraham baldwin agricultural college" AND enrollment < 3 OFFSET 284
CREATE TABLE table_name_96 (joined INTEGER, institution VARCHAR, enrollment VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 1927, 630, 26, 3, 21342, 17966, 6, 6568, 584, 4280, 28027, 6, 17938, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5279, 15, 26, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 1927, 630, 26, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 6568, 3274, 96, 9, 1939, 1483, 3, 8267, 3757, 10687, 1900, 121, 3430, 17938, 3, 2, 220, 3, 15316, 20788, 204, 4608, 1, -100, -100...
What is Away Team Score, when Ground is Optus Oval, and when Away Team is Fremantle?
SELECT away_team AS score FROM table_name_65 WHERE ground = "optus oval" AND away_team = "fremantle"
CREATE TABLE table_name_65 (away_team VARCHAR, ground VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 1591, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 71, 1343, 2271, 17763, 6, 116, 13908, 19, 4495...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 1591, 3274, 96, 15766, 302, 17986, 121, 3430, 550, 834, 11650, 3274, 96, 23311, 288, 109, 121, 1, -100, -100, -100, -100, -100, -100, -10...
What is Away Team, when Ground is Colonial Stadium?
SELECT away_team FROM table_name_19 WHERE ground = "colonial stadium"
CREATE TABLE table_name_19 (away_team VARCHAR, ground VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 1591, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 71, 1343, 2271, 6, 116, 13908, 19, 30709, 1275...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 550, 834, 11650, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 1591, 3274, 96, 8135, 7419, 14939, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
A score of 71-71=142 earned what place?
SELECT place FROM table_name_11 WHERE score = 71 - 71 = 142
CREATE TABLE table_name_11 (place VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 4687, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 71, 2604, 13, 3, 4450, 18, 4450, 2423, 24978, 4964, 125, 286, 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, 286, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 2604, 3274, 3, 4450, 3, 18, 3, 4450, 3274, 3, 24978, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was José María Olazábal's score?
SELECT to_par FROM table_name_68 WHERE player = "josé maría olazábal"
CREATE TABLE table_name_68 (to_par VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 235, 834, 1893, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 26816, 1571, 2, 9, 5424, 9, 172, 2975, 3849, 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, 12, 834, 1893, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 1959, 3274, 96, 1927, 7, 154, 3157, 2, 9, 3, 32, 521, 172, 2975, 3849, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What team was the opponent on October 15, 1967?
SELECT opponent FROM table_name_66 WHERE date = "october 15, 1967"
CREATE TABLE table_name_66 (opponent VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 32, 102, 9977, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 372, 47, 8, 15264, 30, 1797, 10725, 18148, 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, 15264, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 833, 3274, 96, 32, 75, 235, 1152, 10725, 18148, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the lowest attendance when the Green Bay Packers played?
SELECT MIN(attendance) FROM table_name_31 WHERE opponent = "green bay packers"
CREATE TABLE table_name_31 (attendance INTEGER, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 15116, 663, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 7402, 11364, 116, 8, 1862, 2474, 26698, 1944, 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, 17684, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 15264, 3274, 96, 9423, 10210, 4153, 277, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the week number when a game was played on November 19, 1967?
SELECT MIN(week) FROM table_name_15 WHERE date = "november 19, 1967"
CREATE TABLE table_name_15 (week INTEGER, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 8041, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 471, 381, 116, 3, 9, 467, 47, 1944, 30, 1671, 12370, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 8041, 61, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 833, 3274, 96, 5326, 18247, 12370, 18148, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
If a team has a grid of over 8 with less than 4 points, what's the team name?
SELECT team FROM table_name_31 WHERE grid > 8 AND points < 4
CREATE TABLE table_name_31 (team VARCHAR, grid VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 11650, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 156, 3, 9, 372, 65, 3, 9, 8634, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 8634, 2490, 505, 3430, 979, 3, 2, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
When Patrick Carpentier is driving and has less than 19 points with 90 laps, what team is racing?
SELECT team FROM table_name_43 WHERE laps = 90 AND points < 19 AND driver = "patrick carpentier"
CREATE TABLE table_name_43 (team VARCHAR, driver VARCHAR, laps VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 11650, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 8643...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 372, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 14941, 7, 3274, 2777, 3430, 979, 3, 2, 957, 3430, 2535, 3274, 96, 4665, 5206, 443, 3208, 3276, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the score where the total points was 50?
SELECT score FROM table_name_34 WHERE total_points = 50
CREATE TABLE table_name_34 (score VARCHAR, total_points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 7, 9022, 584, 4280, 28027, 6, 792, 834, 2700, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 213, 8, 792, 979, 47, 943, 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, 2604, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 792, 834, 2700, 7, 3274, 943, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
For the match that had detail of 2001 nrl grand final, what was the lowest total points?
SELECT MIN(total_points) FROM table_name_73 WHERE details = "2001 nrl grand final"
CREATE TABLE table_name_73 (total_points INTEGER, details VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 235, 1947, 834, 2700, 7, 3, 21342, 17966, 6, 1030, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 242, 8, 1588, 24, 141, 2736, 13, 4402, 3, 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, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 235, 1947, 834, 2700, 7, 61, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 1030, 3274, 96, 23658, 3, 29, 52, 40, 1907, 804, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which average Game has a High points of wilson chandler (16)?
SELECT AVG(game) FROM table_name_7 WHERE high_points = "wilson chandler (16)"
CREATE TABLE table_name_7 (game INTEGER, high_points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 7261, 3, 21342, 17966, 6, 306, 834, 2700, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1348, 4435, 65, 3, 9, 1592, 979, 13, 3, 210, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 7261, 61, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 306, 834, 2700, 7, 3274, 96, 210, 173, 739, 3, 8694, 12807, 19198, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Score has a Game larger than 76, a Location Attendance of madison square garden 19,763, and a High rebounds of wilson chandler (8)?
SELECT score FROM table_name_71 WHERE game > 76 AND location_attendance = "madison square garden 19,763" AND high_rebounds = "wilson chandler (8)"
CREATE TABLE table_name_71 (score VARCHAR, high_rebounds VARCHAR, game VARCHAR, location_attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 7, 9022, 584, 4280, 28027, 6, 306, 834, 23768, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 6, 1128, 834, 15116, 663, 584, 4280, 28027, 61, 3, 32105, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 467, 2490, 3, 3959, 3430, 1128, 834, 15116, 663, 3274, 96, 11374, 23, 739, 2812, 2004, 12370, 3959, 519, 121, 3430, 306, 834, 23768, 3274, 96, 210, 173, 739, ...
Which Team has a Record of 32–50?
SELECT team FROM table_name_24 WHERE record = "32–50"
CREATE TABLE table_name_24 (team VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 11650, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2271, 65, 3, 9, 11392, 13, 3538, 104, 1752, 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, 372, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 1368, 3274, 96, 2668, 104, 1752, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Date has a Record of 29–47?
SELECT date FROM table_name_4 WHERE record = "29–47"
CREATE TABLE table_name_4 (date VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 5522, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7678, 65, 3, 9, 11392, 13, 2838, 104, 4177, 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, 833, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 1368, 3274, 96, 3166, 104, 4177, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Date has a Location Attendance of madison square garden 19,763, and a High rebounds of david lee (12)?
SELECT date FROM table_name_99 WHERE location_attendance = "madison square garden 19,763" AND high_rebounds = "david lee (12)"
CREATE TABLE table_name_99 (date VARCHAR, location_attendance VARCHAR, high_rebounds VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 5522, 584, 4280, 28027, 6, 1128, 834, 15116, 663, 584, 4280, 28027, 6, 306, 834, 23768, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7678, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 1128, 834, 15116, 663, 3274, 96, 11374, 23, 739, 2812, 2004, 12370, 3959, 519, 121, 3430, 306, 834, 23768, 3274, 96, 26, 9, 6961, 90, 15, 16465, 61, 121, 1, ...
Which Record has a Score of w 107–102 (ot)?
SELECT record FROM table_name_3 WHERE score = "w 107–102 (ot)"
CREATE TABLE table_name_3 (record VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 60, 7621, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 11392, 65, 3, 9, 17763, 13, 3, 210, 3, 18057, 104, 14388...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 2604, 3274, 96, 210, 3, 18057, 104, 14388, 41, 32, 17, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Team has a Location Attendance of fedexforum 11,731?
SELECT team FROM table_name_4 WHERE location_attendance = "fedexforum 11,731"
CREATE TABLE table_name_4 (team VARCHAR, location_attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 11650, 584, 4280, 28027, 6, 1128, 834, 15116, 663, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2271, 65, 3, 9, 10450, 22497, 663, 13, 13126...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 1128, 834, 15116, 663, 3274, 96, 19565, 994, 24195, 9694, 4552, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Record has a Score of l 97–99 (ot)?
SELECT record FROM table_name_88 WHERE score = "l 97–99 (ot)"
CREATE TABLE table_name_88 (record VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 60, 7621, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 11392, 65, 3, 9, 17763, 13, 3, 40, 3, 4327, 104, 3264, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 2604, 3274, 96, 40, 3, 4327, 104, 3264, 41, 32, 17, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is game 34's record?
SELECT record FROM table_name_11 WHERE game = 34
CREATE TABLE table_name_11 (record VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 60, 7621, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 467, 6154, 31, 7, 1368, 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, 1368, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 467, 3274, 6154, 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 were the high assist on january 2?
SELECT high_assists FROM table_name_61 WHERE date = "january 2"
CREATE TABLE table_name_61 (high_assists VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 6739, 834, 6500, 7, 17, 7, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 130, 8, 306, 2094, 30, 3, 7066, 76, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 306, 834, 6500, 7, 17, 7, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 833, 3274, 96, 7066, 76, 1208, 204, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who was the director that had a film titled "Floating Life"?
SELECT director FROM table_name_5 WHERE film_title_used_in_nomination = "floating life"
CREATE TABLE table_name_5 (director VARCHAR, film_title_used_in_nomination VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 25982, 584, 4280, 28027, 6, 814, 834, 21869, 834, 10064, 834, 77, 834, 29, 32, 14484, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2090, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 814, 834, 21869, 834, 10064, 834, 77, 834, 29, 32, 14484, 3274, 96, 12660, 53, 280, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Can you tell me the total number of Played that has the Position larger than 5, and the Points of 11, and the Drawn smaller than 1?
SELECT COUNT(played) FROM table_name_60 WHERE position > 5 AND points = 11 AND drawn < 1
CREATE TABLE table_name_60 (played VARCHAR, drawn VARCHAR, position VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 4895, 15, 26, 584, 4280, 28027, 6, 6796, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1072, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 4895, 15, 26, 61, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 1102, 2490, 305, 3430, 979, 3274, 850, 3430, 6796, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Can you tell me the highest Played that has the Points larger than 11, and the Lost larger than 7?
SELECT MAX(played) FROM table_name_36 WHERE points > 11 AND lost > 7
CREATE TABLE table_name_36 (played INTEGER, points VARCHAR, lost VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 4895, 15, 26, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1072, 25, 817, 140, 8, 2030, 291...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4895, 15, 26, 61, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 979, 2490, 850, 3430, 1513, 2490, 489, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was Dave Hill's score?
SELECT score FROM table_name_85 WHERE player = "dave hill"
CREATE TABLE table_name_85 (score VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 7, 9022, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8545, 3588, 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, 4433, 549, 17444, 427, 1959, 3274, 96, 26, 9, 162, 9956, 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 to par of Al Mengert of the United States?
SELECT to_par FROM table_name_73 WHERE country = "united states" AND player = "al mengert"
CREATE TABLE table_name_73 (to_par VARCHAR, country VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 235, 834, 1893, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 12, 260, 13, 901,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 12, 834, 1893, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 684, 3274, 96, 15129, 15, 26, 2315, 121, 3430, 1959, 3274, 96, 138, 140, 9369, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the score of T5 place in the United States?
SELECT score FROM table_name_67 WHERE country = "united states" AND place = "t5"
CREATE TABLE table_name_67 (score VARCHAR, country VARCHAR, place VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 7, 9022, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 286, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 13, 332, 755, 286, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2604, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 684, 3274, 96, 15129, 15, 26, 2315, 121, 3430, 286, 3274, 96, 17, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the player from the United States in T10 place with a score of 67-77=144?
SELECT player FROM table_name_1 WHERE country = "united states" AND place = "t10" AND score = 67 - 77 = 144
CREATE TABLE table_name_1 (player VARCHAR, country VARCHAR, place VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 20846, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 286, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 684, 3274, 96, 15129, 15, 26, 2315, 121, 3430, 286, 3274, 96, 17, 1714, 121, 3430, 2604, 3274, 3, 3708, 3, 18, 3, 4013, 3274, 3, 20885, 1, -100, -100, -100, ...
What was Billy Casper's to par?
SELECT to_par FROM table_name_51 WHERE player = "billy casper"
CREATE TABLE table_name_51 (to_par VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 235, 834, 1893, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 17724, 1336, 4339, 31, 7, 12, 260, 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, 12, 834, 1893, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 1959, 3274, 96, 3727, 120, 212, 4339, 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 Wins, when Played is less than 5?
SELECT SUM(wins) FROM table_name_42 WHERE played < 5
CREATE TABLE table_name_42 (wins INTEGER, played INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4165, 41, 3757, 7, 3, 21342, 17966, 6, 1944, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 13, 4871, 7, 6, 116, 2911, 15, 26, 19, 705, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 4165, 549, 17444, 427, 1944, 3, 2, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the highest Wins, when Rank is greater than 2, and when Played is less than 5?
SELECT MAX(wins) FROM table_name_75 WHERE rank > 2 AND played < 5
CREATE TABLE table_name_75 (wins INTEGER, rank VARCHAR, played VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 3757, 7, 3, 21342, 17966, 6, 11003, 584, 4280, 28027, 6, 1944, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 4871, 7, 6, 116, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3072, 549, 17444, 427, 11003, 2490, 204, 3430, 1944, 3, 2, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the sum of Wins, when Team is Sweden, and when Played is less than 5?
SELECT SUM(wins) FROM table_name_79 WHERE team = "sweden" AND played < 5
CREATE TABLE table_name_79 (wins INTEGER, team VARCHAR, played VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 3757, 7, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 1944, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 13, 4871, 7, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 372, 3274, 96, 7, 1123, 537, 121, 3430, 1944, 3, 2, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the highest Points, when Played is greater than 5?
SELECT MAX(points) FROM table_name_30 WHERE played > 5
CREATE TABLE table_name_30 (points INTEGER, played INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 2700, 7, 3, 21342, 17966, 6, 1944, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 4564, 7, 6, 116, 2911, 15, 26, 19, 2123, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 1944, 2490, 305, 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 Ties, when Played is greater than 5?
SELECT AVG(ties) FROM table_name_68 WHERE played > 5
CREATE TABLE table_name_68 (ties INTEGER, played INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 3010, 3, 21342, 17966, 6, 1944, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 332, 725, 6, 116, 2911, 15, 26, 19, 2123, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 3010, 61, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 1944, 2490, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...