Datasets:
AayushShah
/
Univeral_SQL_Three_Datasets_Combined_WithText_IDs

Dataset card Data Studio Files
xet
 Community
1
NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
Which Round has a College/Junior/Club Team (League) of hamilton red wings (oha), and a Position of rw?
SELECT AVG(round) FROM table_name_63 WHERE college_junior_club_team__league_ = "hamilton red wings (oha)" AND position = "rw"
CREATE TABLE table_name_63 (round INTEGER, college_junior_club_team__league_ VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 7775, 3, 21342, 17966, 6, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 7775, 61, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 3274, 96, 1483, 23, 7377, 1131, 13943, 41, 32, 1024, 61, 121, 3430...
Which Round has a Position of lw, and a College/Junior/Club Team (League) of swift current broncos (wchl)?
SELECT AVG(round) FROM table_name_11 WHERE position = "lw" AND college_junior_club_team__league_ = "swift current broncos (wchl)"
CREATE TABLE table_name_11 (round INTEGER, position VARCHAR, college_junior_club_team__league_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 7775, 3, 21342, 17966, 6, 1102, 584, 4280, 28027, 6, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 584, 4280, 28027, 61, 3, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 7775, 61, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 1102, 3274, 96, 40, 210, 121, 3430, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 3274, 96, 7, 210, 99, 17, 75...
What is round 10's nationality?
SELECT nationality FROM table_name_55 WHERE round = 10
CREATE TABLE table_name_55 (nationality VARCHAR, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 16557, 485, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 1751, 335, 31, 7, 1157, 485, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1157, 485, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 1751, 3274, 335, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which driver was in 8 rounds with a chassis of dallara f306?
SELECT driver FROM table_name_57 WHERE chassis = "dallara f306" AND rounds = "8"
CREATE TABLE table_name_57 (driver VARCHAR, chassis VARCHAR, rounds VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 13739, 52, 584, 4280, 28027, 6, 22836, 584, 4280, 28027, 6, 14419, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2535, 47, 16, 505, 14419, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2535, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 22836, 3274, 96, 26, 1748, 2551, 3, 89, 1458, 948, 121, 3430, 14419, 3274, 96, 927, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many rounds did Nil Montserrat drive in?
SELECT rounds FROM table_name_94 WHERE driver = "nil montserrat"
CREATE TABLE table_name_94 (rounds VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 7775, 7, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 14419, 410, 445, 173, 5788, 7, 49, 1795, 1262, 16, 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, 14419, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 2535, 3274, 96, 29, 173, 6278, 7, 49, 1795, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many rounds did germán sánchez drive in where the chassis was dallara f308?
SELECT rounds FROM table_name_34 WHERE chassis = "dallara f308" AND driver = "germán sánchez"
CREATE TABLE table_name_34 (rounds VARCHAR, chassis VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 7775, 7, 584, 4280, 28027, 6, 22836, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 14419, 410, 19652, 12916, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14419, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 22836, 3274, 96, 26, 1748, 2551, 3, 89, 1458, 927, 121, 3430, 2535, 3274, 96, 1304, 51, 12916, 3, 7, 12916, 20095, 121, 1, -100, -100, -100, -100, -100, -100...
What is the chassis for Augusto Scalbi on Team RP Motorsport?
SELECT chassis FROM table_name_34 WHERE team = "rp motorsport" AND driver = "augusto scalbi"
CREATE TABLE table_name_34 (chassis VARCHAR, team VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 524, 6500, 7, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 22836, 21, 1660, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 22836, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 372, 3274, 96, 52, 102, 2340, 6661, 121, 3430, 2535, 3274, 96, 402, 17198, 32, 3, 7, 1489, 115, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
In what Week was the Result W 24-17?
SELECT MAX(week) FROM table_name_65 WHERE result = "w 24-17"
CREATE TABLE table_name_65 (week INTEGER, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 8041, 3, 21342, 17966, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 125, 6551, 47, 8, 3, 20119, 549, 997, 10794, 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, 4800, 4, 599, 8041, 61, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 741, 3274, 96, 210, 997, 10794, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the Week number on November 20, 1977?
SELECT SUM(week) FROM table_name_54 WHERE date = "november 20, 1977"
CREATE TABLE table_name_54 (week INTEGER, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 8041, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 6551, 381, 30, 1671, 16047, 16433, 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, 180, 6122, 599, 8041, 61, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 833, 3274, 96, 5326, 18247, 16047, 16433, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who played hte home team when the score was 2:1?
SELECT home FROM table_name_45 WHERE score = "2:1"
CREATE TABLE table_name_45 (home VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 5515, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 1944, 3, 107, 17, 15, 234, 372, 116, 8, 2604, 47, 27078, 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, 234, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 2604, 3274, 96, 357, 10, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who was the home team when real juventud was the away team when there were more than 1189 in attendance?
SELECT home FROM table_name_4 WHERE attendance > 1189 AND away = "real juventud"
CREATE TABLE table_name_4 (home VARCHAR, attendance VARCHAR, away VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 5515, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 6, 550, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 234, 372, 116, 490, 3, 354...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 234, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 11364, 2490, 850, 3914, 3430, 550, 3274, 96, 6644, 3, 354, 4348, 76, 26, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the average attendance when marathon was the away team?
SELECT AVG(attendance) FROM table_name_6 WHERE away = "marathon"
CREATE TABLE table_name_6 (attendance INTEGER, away VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 15116, 663, 3, 21342, 17966, 6, 550, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1348, 11364, 116, 17625, 47, 8, 550, 372, 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, 71, 17217, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 550, 3274, 96, 1635, 24718, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who was the home team when the score was 0:1?
SELECT home FROM table_name_90 WHERE score = "0:1"
CREATE TABLE table_name_90 (home VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 5515, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 234, 372, 116, 8, 2604, 47, 3, 632, 10, 536, 58, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 2604, 3274, 96, 632, 10, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which company in the oil and gas industry has assets (billion $) under 235.45, sales (billion $) larger than 159.29 and brings in profits (billion $) of 19.28?
SELECT company FROM table_name_86 WHERE assets__billion_$_ < 235.45 AND sales__billion_$_ > 159.29 AND industry = "oil and gas" AND profits__billion_$_ = 19.28
CREATE TABLE table_name_86 (company VARCHAR, profits__billion_$_ VARCHAR, industry VARCHAR, assets__billion_$_ VARCHAR, sales__billion_$_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 29179, 584, 4280, 28027, 6, 9613, 834, 834, 115, 14916, 834, 3229, 834, 584, 4280, 28027, 6, 681, 584, 4280, 28027, 6, 4089, 834, 834, 115, 14916, 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, 349, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 4089, 834, 834, 115, 14916, 834, 3229, 834, 3, 2, 3, 25174, 5, 2128, 3430, 1085, 834, 834, 115, 14916, 834, 3229, 834, 2490, 3, 27904, 5, 3166, 3430, 681, 32...
How many profits is the company that is headquartered in the USA, in the banking industry, and has sales (billion $) less than 98.64 bringing in?
SELECT SUM(profits__billion_) AS $_ FROM table_name_54 WHERE headquarters = "usa" AND industry = "banking" AND sales__billion_$_ < 98.64
CREATE TABLE table_name_54 (profits__billion_ INTEGER, sales__billion_$_ VARCHAR, headquarters VARCHAR, industry VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 6046, 7, 834, 834, 115, 14916, 834, 3, 21342, 17966, 6, 1085, 834, 834, 115, 14916, 834, 3229, 834, 584, 4280, 28027, 6, 13767, 584, 4280, 28027, 6, 68...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6046, 7, 834, 834, 115, 14916, 834, 61, 6157, 1514, 834, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 13767, 3274, 96, 302, 9, 121, 3430, 681, 3274, 96, 4739, 53, 121, 3430, 1085, 834, 834, 1...
What test had 49,608 students?
SELECT test FROM table_name_86 WHERE number_of_students = "49,608"
CREATE TABLE table_name_86 (test VARCHAR, number_of_students VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 4377, 584, 4280, 28027, 6, 381, 834, 858, 834, 8637, 295, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 794, 141, 9526, 6, 3328, 927, 48...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 794, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 381, 834, 858, 834, 8637, 295, 7, 3274, 96, 3647, 6, 3328, 927, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the Tie no when the Home team was Ramsgate?
SELECT tie_no FROM table_name_20 WHERE home_team = "ramsgate"
CREATE TABLE table_name_20 (tie_no VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 17, 23, 15, 834, 29, 32, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2262, 15, 150, 116, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6177, 834, 29, 32, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 234, 834, 11650, 3274, 96, 2375, 7, 5339, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the Tie no when the Home team was carshalton athletic?
SELECT tie_no FROM table_name_50 WHERE home_team = "carshalton athletic"
CREATE TABLE table_name_50 (tie_no VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 17, 23, 15, 834, 29, 32, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2262, 15, 150, 116, 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, 6177, 834, 29, 32, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 234, 834, 11650, 3274, 96, 1720, 7, 5019, 106, 12217, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the away team when the home team was Ramsgate?
SELECT away_team FROM table_name_30 WHERE home_team = "ramsgate"
CREATE TABLE table_name_30 (away_team VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 550, 372, 116, 8, 234, 372, 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, 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, 1458, 549, 17444, 427, 234, 834, 11650, 3274, 96, 2375, 7, 5339, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the home team when the Tie no was 60?
SELECT home_team FROM table_name_31 WHERE tie_no = "60"
CREATE TABLE table_name_31 (home_team VARCHAR, tie_no VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 6177, 834, 29, 32, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 234, 372, 116, 8, 2262, 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, 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, 3341, 549, 17444, 427, 6177, 834, 29, 32, 3274, 96, 3328, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the Tie no when the Home team was wealdstone?
SELECT tie_no FROM table_name_34 WHERE home_team = "wealdstone"
CREATE TABLE table_name_34 (tie_no VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 17, 23, 15, 834, 29, 32, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2262, 15, 150, 116, 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, 6177, 834, 29, 32, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 234, 834, 11650, 3274, 96, 1123, 138, 26, 3009, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which format has january 21, 2002 as the date?
SELECT format FROM table_name_11 WHERE date = "january 21, 2002"
CREATE TABLE table_name_11 (format VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 8995, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1910, 65, 3, 7066, 76, 1208, 12026, 4407, 38, 8, 833, 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, 1910, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 833, 3274, 96, 7066, 76, 1208, 12026, 4407, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What format has France as the region, with Universal Licensing Music (ulm) as the label?
SELECT format FROM table_name_72 WHERE region = "france" AND label = "universal licensing music (ulm)"
CREATE TABLE table_name_72 (format VARCHAR, region VARCHAR, label VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 8995, 584, 4280, 28027, 6, 1719, 584, 4280, 28027, 6, 3783, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1910, 65, 1410, 38, 8, 1719, 6, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1910, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 1719, 3274, 96, 89, 5219, 121, 3430, 3783, 3274, 96, 7846, 138, 16604, 723, 41, 83, 51, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What label has the netherlands as the region, and magik muzik 802-1 as the catalog?
SELECT label FROM table_name_83 WHERE region = "netherlands" AND catalog = "magik muzik 802-1"
CREATE TABLE table_name_83 (label VARCHAR, region VARCHAR, catalog VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 40, 10333, 584, 4280, 28027, 6, 1719, 584, 4280, 28027, 6, 10173, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 3783, 65, 8, 3134, 760, 6347,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3783, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 1719, 3274, 96, 29, 16764, 6347, 121, 3430, 10173, 3274, 96, 7493, 23, 157, 4035, 702, 157, 2775, 17234, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the record at 3:00?
SELECT record FROM table_name_71 WHERE time = "3:00"
CREATE TABLE table_name_71 (record VARCHAR, time VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 60, 7621, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1368, 44, 220, 10, 1206, 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, 1368, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 97, 3274, 96, 519, 10, 1206, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What opponent used the Ko method, and a 6-0 record?
SELECT opponent FROM table_name_12 WHERE method = "ko" AND record = "6-0"
CREATE TABLE table_name_12 (opponent VARCHAR, method VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 32, 102, 9977, 584, 4280, 28027, 6, 1573, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 15264, 261, 8, 1793, 1573,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15264, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 1573, 3274, 96, 157, 32, 121, 3430, 1368, 3274, 96, 28625, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the ground of the game where the home team was Adelaide?
SELECT ground FROM table_name_88 WHERE home_team = "adelaide"
CREATE TABLE table_name_88 (ground VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 9232, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1591, 13, 8, 467, 213, 8, 234, 372, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1591, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 234, 834, 11650, 3274, 96, 15311, 5385, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Manufacturer, when Quantity Made is 2, and when Year Made is 1884?
SELECT manufacturer FROM table_name_25 WHERE quantity_made = "2" AND year_made = "1884"
CREATE TABLE table_name_25 (manufacturer VARCHAR, quantity_made VARCHAR, year_made VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 348, 76, 8717, 450, 49, 584, 4280, 28027, 6, 8708, 834, 4725, 584, 4280, 28027, 6, 215, 834, 4725, 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, 0, 0, 0...
[ 3, 23143, 14196, 4818, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 8708, 834, 4725, 3274, 96, 357, 121, 3430, 215, 834, 4725, 3274, 96, 25794, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is Quantity Made, when Manufacturer is "Baldwin"?
SELECT quantity_made FROM table_name_3 WHERE manufacturer = "baldwin"
CREATE TABLE table_name_3 (quantity_made VARCHAR, manufacturer VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 13158, 485, 834, 4725, 584, 4280, 28027, 6, 4818, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 12716, 485, 6465, 6, 116, 15248, 19, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8708, 834, 4725, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 4818, 3274, 96, 8267, 3757, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Wheel Arrangement, when Manufacturer is "Baldwin", and when Quantity Made is 12?
SELECT wheel_arrangement FROM table_name_52 WHERE manufacturer = "baldwin" AND quantity_made = "12"
CREATE TABLE table_name_52 (wheel_arrangement VARCHAR, manufacturer VARCHAR, quantity_made VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 14074, 834, 291, 5517, 297, 584, 4280, 28027, 6, 4818, 584, 4280, 28027, 6, 8708, 834, 4725, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 5094, 834, 291, 5517, 297, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 4818, 3274, 96, 8267, 3757, 121, 3430, 8708, 834, 4725, 3274, 96, 2122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is Quantity Made, when Year Made is "4-4-0 — oooo — american"?
SELECT quantity_made FROM table_name_65 WHERE year_made = "4-4-0 — oooo — american"
CREATE TABLE table_name_65 (quantity_made VARCHAR, year_made VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 13158, 485, 834, 4725, 584, 4280, 28027, 6, 215, 834, 4725, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 12716, 485, 6465, 6, 116, 2929,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8708, 834, 4725, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 215, 834, 4725, 3274, 96, 591, 18, 26814, 3, 318, 3, 16780, 3, 318, 10211, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is Wheel Arrangement, when Quantity Made is 44?
SELECT wheel_arrangement FROM table_name_8 WHERE quantity_made = "44"
CREATE TABLE table_name_8 (wheel_arrangement VARCHAR, quantity_made VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 14074, 834, 291, 5517, 297, 584, 4280, 28027, 6, 8708, 834, 4725, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 10707, 3, 31895, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5094, 834, 291, 5517, 297, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 8708, 834, 4725, 3274, 96, 3628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is Quantitiy Made, when Quantity Preserved is "4-4-0 — oooo — american"?
SELECT quantity_made FROM table_name_23 WHERE quantity_preserved = "4-4-0 — oooo — american"
CREATE TABLE table_name_23 (quantity_made VARCHAR, quantity_preserved VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 13158, 485, 834, 4725, 584, 4280, 28027, 6, 8708, 834, 7197, 49, 162, 26, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 12716, 155, 23, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 8708, 834, 4725, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 8708, 834, 7197, 49, 162, 26, 3274, 96, 591, 18, 26814, 3, 318, 3, 16780, 3, 318, 10211, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the highest game found when the record is 2-1?
SELECT MAX(game) FROM table_name_10 WHERE record = "2-1"
CREATE TABLE table_name_10 (game INTEGER, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 7261, 3, 21342, 17966, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 2030, 467, 435, 116, 8, 1368, 19, 3, 17234, 58, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 7261, 61, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 1368, 3274, 96, 17234, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the game date when the opponent was Houston?
SELECT date FROM table_name_8 WHERE opponent = "houston"
CREATE TABLE table_name_8 (date VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 5522, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 467, 833, 116, 8, 15264, 47, 8018, 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, 927, 549, 17444, 427, 15264, 3274, 96, 9492, 4411, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Can you tell me the highest Season that has the Home Team of chonburi, and the Away Team of melbourne victory?
SELECT MAX(season) FROM table_name_8 WHERE home_team = "chonburi" AND away_team = "melbourne victory"
CREATE TABLE table_name_8 (season INTEGER, home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 9476, 3, 21342, 17966, 6, 234, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1072, 25, 817, 140, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9476, 61, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 234, 834, 11650, 3274, 96, 17128, 115, 459, 121, 3430, 550, 834, 11650, 3274, 96, 2341, 26255, 6224, 121, 1, -100, -100, -100, -100, -100, -1...
Can you tell me the Season that has the Score of 1-0?
SELECT season FROM table_name_34 WHERE score = "1-0"
CREATE TABLE table_name_34 (season VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 9476, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 1072, 25, 817, 140, 8, 7960, 24, 65, 8, 17763, 13, 3, 18930, 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, 774, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 2604, 3274, 96, 18930, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
WHAT IS THE LOWEST $50-1/2 OZ COIN WITH A 1997 YEAR AND $25-1/4 OZ LARGER THAN $27,100?
SELECT MIN AS $50___1_2_oz FROM table_name_59 WHERE year = 1997 AND $25___1_4_oz > 27 OFFSET 100
CREATE TABLE table_name_59 (MIN VARCHAR, year VARCHAR, $25___1_4_oz VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 17684, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 14685, 834, 834, 834, 536, 834, 591, 834, 32, 172, 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, 3, 17684, 6157, 13309, 834, 834, 834, 536, 834, 357, 834, 32, 172, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 215, 3274, 6622, 3430, 14685, 834, 834, 834, 536, 834, 591, 834, 32, 172, 2490, 2307, 3, 15316, ...
WHAT IS THE LOWEST $25-1/4 OZ COIN WITH A $10-1/10 OZ OF $70,250?
SELECT MIN AS $25___1_4_oz FROM table_name_57 WHERE $10___1_10_oz = "70,250"
CREATE TABLE table_name_57 (MIN VARCHAR, $10___1_10_oz VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 17684, 584, 4280, 28027, 6, 9103, 834, 834, 834, 536, 834, 1714, 834, 32, 172, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 21665, 6827, 1853, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 6157, 14685, 834, 834, 834, 536, 834, 591, 834, 32, 172, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 9103, 834, 834, 834, 536, 834, 1714, 834, 32, 172, 3274, 96, 2518, 6, 11434, 121, 1, -100, -100...
What is the model number for the GPU and 320 mhz?
SELECT model_number FROM table_name_98 WHERE gpu_frequency = "320 mhz"
CREATE TABLE table_name_98 (model_number VARCHAR, gpu_frequency VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 21770, 834, 5525, 1152, 584, 4280, 28027, 6, 3, 122, 4987, 834, 30989, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 825, 381, 21, 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, 825, 834, 5525, 1152, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 3, 122, 4987, 834, 30989, 3274, 96, 15003, 3, 51, 107, 172, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the socket of the model atom e680t?
SELECT socket FROM table_name_55 WHERE model_number = "atom e680t"
CREATE TABLE table_name_55 (socket VARCHAR, model_number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 7, 3961, 15, 17, 584, 4280, 28027, 6, 825, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 16197, 13, 8, 825, 3, 10...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 16197, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 825, 834, 5525, 1152, 3274, 96, 10432, 3, 15, 948, 2079, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the memory for ct80618005844ab?
SELECT memory FROM table_name_78 WHERE part_number_s_ = "ct80618005844ab"
CREATE TABLE table_name_78 (memory VARCHAR, part_number_s_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 526, 2528, 63, 584, 4280, 28027, 6, 294, 834, 5525, 1152, 834, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2594, 21, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2594, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 294, 834, 5525, 1152, 834, 7, 834, 3274, 96, 75, 17, 2079, 4241, 6192, 3449, 3628, 9, 115, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Average Cards a game has a Season of 1997/1998, and a Games larger than 38?
SELECT MAX(average_cards_a_game) FROM table_name_78 WHERE season = "1997/1998" AND games > 38
CREATE TABLE table_name_78 (average_cards_a_game INTEGER, season VARCHAR, games VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 28951, 834, 6043, 7, 834, 9, 834, 7261, 3, 21342, 17966, 6, 774, 584, 4280, 28027, 6, 1031, 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, 4800, 4, 599, 28951, 834, 6043, 7, 834, 9, 834, 7261, 61, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 774, 3274, 96, 2294, 4327, 13523, 3916, 121, 3430, 1031, 2490, 6654, 1, -100, -100, -100, -100, -100, -100...
Which Red Cards has a Season of 1998/1999, and a Games larger than 41?
SELECT MIN(red_cards) FROM table_name_55 WHERE season = "1998/1999" AND games > 41
CREATE TABLE table_name_55 (red_cards INTEGER, season VARCHAR, games VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 1271, 834, 6043, 7, 3, 21342, 17966, 6, 774, 584, 4280, 28027, 6, 1031, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1624, 18085, 65, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 1271, 834, 6043, 7, 61, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 774, 3274, 96, 2294, 3916, 13523, 3264, 121, 3430, 1031, 2490, 8798, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Games has a Season of 2003/2004, and a Red Cards smaller than 5?
SELECT AVG(games) FROM table_name_65 WHERE season = "2003/2004" AND red_cards < 5
CREATE TABLE table_name_65 (games INTEGER, season VARCHAR, red_cards VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 7261, 7, 3, 21342, 17966, 6, 774, 584, 4280, 28027, 6, 1131, 834, 6043, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5880, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 7261, 7, 61, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 774, 3274, 96, 23948, 87, 21653, 121, 3430, 1131, 834, 6043, 7, 3, 2, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Average Cards a game has a Season of 2004/2005, and a Red Cards larger than 3?
SELECT MIN(average_cards_a_game) FROM table_name_22 WHERE season = "2004/2005" AND red_cards > 3
CREATE TABLE table_name_22 (average_cards_a_game INTEGER, season VARCHAR, red_cards VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 28951, 834, 6043, 7, 834, 9, 834, 7261, 3, 21342, 17966, 6, 774, 584, 4280, 28027, 6, 1131, 834, 6043, 7, 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, 3, 17684, 599, 28951, 834, 6043, 7, 834, 9, 834, 7261, 61, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 774, 3274, 96, 21653, 87, 22594, 121, 3430, 1131, 834, 6043, 7, 2490, 220, 1, -100, -100, -100, -100, -...
Which Yellow Cards has a Season of 1999/2000?
SELECT AVG(yellow_cards) FROM table_name_75 WHERE season = "1999/2000"
CREATE TABLE table_name_75 (yellow_cards INTEGER, season VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 63, 7126, 210, 834, 6043, 7, 3, 21342, 17966, 6, 774, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 12035, 18085, 65, 3, 9, 7960, 13, 5247...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 63, 7126, 210, 834, 6043, 7, 61, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 774, 3274, 96, 2294, 3264, 87, 13527, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Goals have Ends of 30 june 2010, and Since larger than 2007?
SELECT goals FROM table_name_14 WHERE ends = "30 june 2010" AND since > 2007
CREATE TABLE table_name_14 (goals VARCHAR, ends VARCHAR, since VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 839, 5405, 584, 4280, 28027, 6, 5542, 584, 4280, 28027, 6, 437, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 17916, 7, 43, 3720, 7, 13, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1766, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 5542, 3274, 96, 1458, 3, 6959, 15, 2735, 121, 3430, 437, 2490, 4101, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which Name has Ends of 30 june 2010, and a Nation of eng, and Since larger than 2007?
SELECT name FROM table_name_2 WHERE ends = "30 june 2010" AND nat = "eng" AND since > 2007
CREATE TABLE table_name_2 (name VARCHAR, since VARCHAR, ends VARCHAR, nat VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 4350, 584, 4280, 28027, 6, 437, 584, 4280, 28027, 6, 5542, 584, 4280, 28027, 6, 3, 29, 144, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 564, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 5542, 3274, 96, 1458, 3, 6959, 15, 2735, 121, 3430, 3, 29, 144, 3274, 96, 4606, 121, 3430, 437, 2490, 4101, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was Bryan Clay's react time?
SELECT MIN(react) FROM table_name_94 WHERE name = "bryan clay"
CREATE TABLE table_name_94 (react INTEGER, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 60, 2708, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 15961, 20988, 31, 7, 8922, 97, 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, 3, 17684, 599, 60, 2708, 61, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 564, 3274, 96, 115, 651, 152, 14364, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What country did Dmitriy Karpov represent?
SELECT country FROM table_name_92 WHERE name = "dmitriy karpov"
CREATE TABLE table_name_92 (country VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 17529, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 684, 410, 309, 1538, 52, 23, 63, 4556, 26981, 4221, 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, 684, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 564, 3274, 96, 26, 1538, 52, 23, 63, 3, 4031, 26981, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is Plural, when Singular is tor (your)?
SELECT plural FROM table_name_33 WHERE singular = "tor (your)"
CREATE TABLE table_name_33 (plural VARCHAR, singular VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 12456, 4900, 584, 4280, 28027, 6, 22166, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 7337, 9709, 6, 116, 180, 53, 4885, 19, 12, 52, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 28037, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 22166, 3274, 96, 17, 127, 41, 13055, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is Proximity, when Honor is P, and when Singular is ẽr (his/her/its)?
SELECT proximity FROM table_name_2 WHERE honor = "p" AND singular = "ẽr (his/her/its)"
CREATE TABLE table_name_2 (proximity VARCHAR, honor VARCHAR, singular VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 20042, 603, 485, 584, 4280, 28027, 6, 3610, 584, 4280, 28027, 6, 22166, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 749, 226, 603, 485, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 16595, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 3610, 3274, 96, 102, 121, 3430, 22166, 3274, 96, 2, 52, 41, 10193, 87, 760, 87, 7085, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest Subject, when Plural is tãder (their)?
SELECT MIN(subject) FROM table_name_58 WHERE plural = "tãder (their)"
CREATE TABLE table_name_58 (subject INTEGER, plural VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 7304, 11827, 3, 21342, 17966, 6, 28037, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 19237, 6, 116, 7337, 9709, 19, 3, 17, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 7304, 11827, 61, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 28037, 3274, 96, 17, 2, 588, 41, 17, 17265, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is Proximity, when Plural is amader (our)?
SELECT proximity FROM table_name_67 WHERE plural = "amader (our)"
CREATE TABLE table_name_67 (proximity VARCHAR, plural VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 20042, 603, 485, 584, 4280, 28027, 6, 28037, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 749, 226, 603, 485, 6, 116, 7337, 9709, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 16595, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 28037, 3274, 96, 265, 9, 588, 41, 1211, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is Honor, when Singular is ẽr (his/her/its)?
SELECT honor FROM table_name_97 WHERE singular = "ẽr (his/her/its)"
CREATE TABLE table_name_97 (honor VARCHAR, singular VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 107, 106, 127, 584, 4280, 28027, 6, 22166, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 11243, 6, 116, 180, 53, 4885, 19, 3, 2, 52, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3610, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 22166, 3274, 96, 2, 52, 41, 10193, 87, 760, 87, 7085, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what is the f/laps when the season is 2011 and races is 18?
SELECT f_laps FROM table_name_16 WHERE season = "2011" AND races = "18"
CREATE TABLE table_name_16 (f_laps VARCHAR, season VARCHAR, races VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 89, 834, 8478, 7, 584, 4280, 28027, 6, 774, 584, 4280, 28027, 6, 10879, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 3, 89, 87, 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, 3, 89, 834, 8478, 7, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 774, 3274, 96, 13907, 121, 3430, 10879, 3274, 96, 2606, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
what is the wins when the f/laps is test driver and team is lotus racing?
SELECT wins FROM table_name_20 WHERE f_laps = "test driver" AND team = "lotus racing"
CREATE TABLE table_name_20 (wins VARCHAR, f_laps VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 3757, 7, 584, 4280, 28027, 6, 3, 89, 834, 8478, 7, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 9204, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9204, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 3, 89, 834, 8478, 7, 3274, 96, 4377, 2535, 121, 3430, 372, 3274, 96, 3171, 302, 8191, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
what is the poles when the wins is 0 and points is 0?
SELECT poles FROM table_name_86 WHERE wins = "0" AND points = "0"
CREATE TABLE table_name_86 (poles VARCHAR, wins VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 14332, 7, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 11148, 7, 116, 8, 9204,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 11148, 7, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 9204, 3274, 96, 632, 121, 3430, 979, 3274, 96, 632, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What score won $36,090?
SELECT score FROM table_name_65 WHERE money___$__ = "36,090"
CREATE TABLE table_name_65 (score VARCHAR, money___$__ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 7, 9022, 584, 4280, 28027, 6, 540, 834, 834, 834, 3229, 834, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2604, 751, 5583, 11071, 632, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4122, 549, 17444, 427, 540, 834, 834, 834, 3229, 834, 834, 3274, 96, 3420, 6, 632, 2394, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was Larry Nelson's final score?
SELECT score FROM table_name_39 WHERE player = "larry nelson"
CREATE TABLE table_name_39 (score VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 7, 9022, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 17129, 14448, 31, 7, 804, 2604, 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, 3288, 549, 17444, 427, 1959, 3274, 96, 40, 291, 651, 3, 29, 3573, 106, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average attendance of the game with 38 opponent and less than 14 Falcons points?
SELECT AVG(attendance) FROM table_name_63 WHERE opponents = 38 AND falcons_points < 14
CREATE TABLE table_name_63 (attendance INTEGER, opponents VARCHAR, falcons_points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 15116, 663, 3, 21342, 17966, 6, 16383, 584, 4280, 28027, 6, 12553, 8056, 834, 2700, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 16383, 3274, 6654, 3430, 12553, 8056, 834, 2700, 7, 3, 2, 968, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total number of losses of the team with games less than 14, wins less than 3, in the Maac Conference at Fairfield School?
SELECT COUNT(losses) FROM table_name_61 WHERE games < 14 AND wins < 3 AND conference = "maac" AND school = "fairfield"
CREATE TABLE table_name_61 (losses VARCHAR, school VARCHAR, conference VARCHAR, games VARCHAR, wins VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 2298, 2260, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 6, 2542, 584, 4280, 28027, 6, 1031, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 61, 3, 32105, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 2298, 2260, 61, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 1031, 3, 2, 968, 3430, 9204, 3, 2, 220, 3430, 2542, 3274, 96, 51, 9, 9, 75, 121, 3430, 496, 3274, 96, 14881, 1846, 121, 1, -10...
What is number 4's title?
SELECT title FROM table_name_36 WHERE number = 4
CREATE TABLE table_name_36 (title VARCHAR, number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 21869, 584, 4280, 28027, 6, 381, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 381, 314, 31, 7, 2233, 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, 2233, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 381, 3274, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many people were born in 1368?
SELECT COUNT(number) FROM table_name_52 WHERE born = "1368"
CREATE TABLE table_name_52 (number VARCHAR, born VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 5525, 1152, 584, 4280, 28027, 6, 2170, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 151, 130, 2170, 16, 1179, 3651, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 5525, 1152, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 2170, 3274, 96, 2368, 3651, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was number 12's mother?
SELECT mother FROM table_name_90 WHERE number = 12
CREATE TABLE table_name_90 (mother VARCHAR, number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 21226, 584, 4280, 28027, 6, 381, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 381, 586, 31, 7, 2039, 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, 2039, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 381, 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,...
What was the week number when they played on Dec. 19?
SELECT COUNT(week) FROM table_name_79 WHERE date = "dec. 19"
CREATE TABLE table_name_79 (week VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 8041, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 471, 381, 116, 79, 1944, 30, 4451, 5, 957, 58, 1, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 8041, 61, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 833, 3274, 96, 221, 75, 5, 957, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average number of students in East Lansing, MI?
SELECT AVG(founded) FROM table_name_70 WHERE location = "east lansing, mi"
CREATE TABLE table_name_70 (founded INTEGER, location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 23329, 3, 21342, 17966, 6, 1128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 381, 13, 481, 16, 1932, 9144, 7, 53, 6, 8161, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 23329, 61, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 1128, 3274, 96, 11535, 3, 1618, 7, 53, 6, 1337, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the lowest number of students at the community college?
SELECT MIN(founded) FROM table_name_8 WHERE affiliation = "community college"
CREATE TABLE table_name_8 (founded INTEGER, affiliation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 23329, 3, 21342, 17966, 6, 24405, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 381, 13, 481, 44, 8, 573, 1900, 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, 23329, 61, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 24405, 3274, 96, 18782, 485, 1900, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is Joanne Carner's average score in Canadian Women's Open games that she has won?
SELECT AVG(score) FROM table_name_70 WHERE champion = "joanne carner"
CREATE TABLE table_name_70 (score INTEGER, champion VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 7, 9022, 3, 21342, 17966, 6, 6336, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 2194, 4515, 1184, 687, 31, 7, 1348, 2604, 16, 4151, 40...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 7, 9022, 61, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 6336, 3274, 96, 1927, 4515, 443, 687, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What country does jocelyne bourassa play for?
SELECT country FROM table_name_73 WHERE champion = "jocelyne bourassa"
CREATE TABLE table_name_73 (country VARCHAR, champion VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 17529, 584, 4280, 28027, 6, 6336, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 684, 405, 8624, 15, 120, 29, 15, 3005, 2414, 7, 7, 9, 577, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 6336, 3274, 96, 1927, 565, 120, 29, 15, 3005, 2414, 7, 7, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Performance has a Test Standard of bs en779, and a Particulate size approaching 100% retention of >2µm, and a Class of f6?
SELECT performance FROM table_name_39 WHERE test_standard = "bs en779" AND particulate_size_approaching_100_percentage_retention = ">2µm" AND class = "f6"
CREATE TABLE table_name_39 (performance VARCHAR, class VARCHAR, test_standard VARCHAR, particulate_size_approaching_100_percentage_retention VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 18558, 584, 4280, 28027, 6, 853, 584, 4280, 28027, 6, 794, 834, 16020, 584, 4280, 28027, 6, 294, 7034, 342, 834, 7991, 834, 12497, 12076, 834, 2915, 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, 821, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 794, 834, 16020, 3274, 96, 115, 7, 3, 35, 940, 4440, 121, 3430, 294, 7034, 342, 834, 7991, 834, 12497, 12076, 834, 2915, 834, 883, 3728, 545, 834, 60, 9174, ...
Which Performance has a Usage of hepa and a Class of h14?
SELECT performance FROM table_name_38 WHERE usage = "hepa" AND class = "h14"
CREATE TABLE table_name_38 (performance VARCHAR, usage VARCHAR, class VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 18558, 584, 4280, 28027, 6, 4742, 584, 4280, 28027, 6, 853, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 8233, 65, 3, 9, 6952, 545, 13, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 821, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 4742, 3274, 96, 88, 102, 9, 121, 3430, 853, 3274, 96, 107, 2534, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Particulate size approaching 100% retention has a Usage of semi hepa and a Class of h12?
SELECT particulate_size_approaching_100_percentage_retention FROM table_name_47 WHERE usage = "semi hepa" AND class = "h12"
CREATE TABLE table_name_47 (particulate_size_approaching_100_percentage_retention VARCHAR, usage VARCHAR, class VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 102, 12277, 342, 834, 7991, 834, 12497, 12076, 834, 2915, 834, 883, 3728, 545, 834, 60, 9174, 584, 4280, 28027, 6, 4742, 584, 4280, 28027, 6, 853, 584, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 294, 7034, 342, 834, 7991, 834, 12497, 12076, 834, 2915, 834, 883, 3728, 545, 834, 60, 9174, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 4742, 3274, 96, 7, 15, 51, 23, 3, 88, 102, 9, 121, 3430, 853, 3274, ...
Which Test Standard has a Usage of secondary filters, and a Class of f5? Question 4
SELECT test_standard FROM table_name_28 WHERE usage = "secondary filters" AND class = "f5"
CREATE TABLE table_name_28 (test_standard VARCHAR, usage VARCHAR, class VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 4377, 834, 16020, 584, 4280, 28027, 6, 4742, 584, 4280, 28027, 6, 853, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2300, 5150, 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, 794, 834, 16020, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 4742, 3274, 96, 12091, 1208, 10607, 121, 3430, 853, 3274, 96, 89, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Score has a To par of –1, and a Player of mick soli?
SELECT score FROM table_name_7 WHERE to_par = "–1" AND player = "mick soli"
CREATE TABLE table_name_7 (score VARCHAR, to_par VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 7, 9022, 584, 4280, 28027, 6, 12, 834, 1893, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 17763, 65, 3, 9, 304,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2604, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 12, 834, 1893, 3274, 96, 104, 536, 121, 3430, 1959, 3274, 96, 51, 3142, 3, 7, 4172, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Score has a Place of t1, and a Player of hubert green?
SELECT AVG(score) FROM table_name_35 WHERE place = "t1" AND player = "hubert green"
CREATE TABLE table_name_35 (score INTEGER, place VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 7, 9022, 3, 21342, 17966, 6, 286, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 17763, 65, 3, 9, 3399, 13, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 7, 9022, 61, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 286, 3274, 96, 17, 536, 121, 3430, 1959, 3274, 96, 16420, 49, 17, 1442, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Country has a Score of 69, and a Player of mick soli?
SELECT country FROM table_name_92 WHERE score = 69 AND player = "mick soli"
CREATE TABLE table_name_92 (country VARCHAR, score VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 17529, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6993, 65, 3, 9, 17763, 13, 3, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 2604, 3274, 3, 3951, 3430, 1959, 3274, 96, 51, 3142, 3, 7, 4172, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Country has a Place of t1?
SELECT country FROM table_name_38 WHERE place = "t1"
CREATE TABLE table_name_38 (country VARCHAR, place VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 17529, 584, 4280, 28027, 6, 286, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6993, 65, 3, 9, 3399, 13, 3, 17, 536, 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, 684, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 286, 3274, 96, 17, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Where is the moving from location with a transfer window of summer and the source kerkida.net?
SELECT moving_from FROM table_name_88 WHERE transfer_window = "summer" AND source = "kerkida.net"
CREATE TABLE table_name_88 (moving_from VARCHAR, transfer_window VARCHAR, source VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 7168, 53, 834, 7152, 584, 4280, 28027, 6, 2025, 834, 5165, 2381, 584, 4280, 28027, 6, 1391, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 19...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1735, 834, 7152, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 2025, 834, 5165, 2381, 3274, 96, 23541, 52, 121, 3430, 1391, 3274, 96, 2304, 2168, 26, 9, 5, 1582, 121, 1, -100, -100, -100, -100, -100, -100, -100...
Which name has the source apoelfc.com.cy and a type of transfer?
SELECT name FROM table_name_94 WHERE source = "apoelfc.com.cy" AND type = "transfer"
CREATE TABLE table_name_94 (name VARCHAR, source VARCHAR, type VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 4350, 584, 4280, 28027, 6, 1391, 584, 4280, 28027, 6, 686, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 564, 65, 8, 1391, 3, 9521, 10386, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 564, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 1391, 3274, 96, 9521, 10386, 75, 5, 287, 5, 75, 63, 121, 3430, 686, 3274, 96, 7031, 1010, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Fate of the San Pablo ship?
SELECT fate FROM table_name_48 WHERE name = "san pablo"
CREATE TABLE table_name_48 (fate VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 89, 342, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 11762, 15, 13, 8, 1051, 30017, 4383, 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, 15126, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 564, 3274, 96, 7, 152, 2576, 4672, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the date of attack of the Circe Shell Ship?
SELECT date FROM table_name_55 WHERE name = "circe shell"
CREATE TABLE table_name_55 (date VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 5522, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 833, 13, 3211, 13, 8, 13054, 565, 16040, 15508, 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, 3769, 549, 17444, 427, 564, 3274, 96, 15776, 15, 7300, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What fuel system was used in 1960-62?
SELECT fuel_system FROM table_name_95 WHERE years = "1960-62"
CREATE TABLE table_name_95 (fuel_system VARCHAR, years VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 21692, 834, 3734, 584, 4280, 28027, 6, 203, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2914, 358, 47, 261, 16, 8754, 18, 4056, 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, 2914, 834, 3734, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 203, 3274, 96, 26937, 9498, 4056, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How much power does the 1500 model have with a displacement of 1490cc?
SELECT power FROM table_name_22 WHERE model = "1500" AND displacement = "1490cc"
CREATE TABLE table_name_22 (power VARCHAR, model VARCHAR, displacement VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 6740, 584, 4280, 28027, 6, 825, 584, 4280, 28027, 6, 27780, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 231, 579, 405, 8, 15011, 825, 43, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 579, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 825, 3274, 96, 536, 2560, 121, 3430, 27780, 3274, 96, 2534, 2394, 75, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which years have a displacement of 1816cc?
SELECT years FROM table_name_44 WHERE displacement = "1816cc"
CREATE TABLE table_name_44 (years VARCHAR, displacement VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 1201, 7, 584, 4280, 28027, 6, 27780, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 203, 43, 3, 9, 27780, 13, 507, 2938, 75, 75, 58, 1, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 203, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 27780, 3274, 96, 2606, 2938, 75, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How much power does the fuel injection system have with a displacement of 1991cc?
SELECT power FROM table_name_47 WHERE fuel_system = "fuel injection" AND displacement = "1991cc"
CREATE TABLE table_name_47 (power VARCHAR, fuel_system VARCHAR, displacement VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 6740, 584, 4280, 28027, 6, 2914, 834, 3734, 584, 4280, 28027, 6, 27780, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 231, 579, 405, 8, 2914,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 579, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 2914, 834, 3734, 3274, 96, 21692, 10672, 121, 3430, 27780, 3274, 96, 2294, 4729, 75, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which fuel system has a displacement of 1490cc?
SELECT fuel_system FROM table_name_68 WHERE displacement = "1490cc"
CREATE TABLE table_name_68 (fuel_system VARCHAR, displacement VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 21692, 834, 3734, 584, 4280, 28027, 6, 27780, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2914, 358, 65, 3, 9, 27780, 13, 968, 2394, 75, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2914, 834, 3734, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 27780, 3274, 96, 2534, 2394, 75, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which fuel system has a displacement of 1500cc for the Berlina model?
SELECT fuel_system FROM table_name_71 WHERE displacement = "1500cc" AND model = "berlina"
CREATE TABLE table_name_71 (fuel_system VARCHAR, displacement VARCHAR, model VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 21692, 834, 3734, 584, 4280, 28027, 6, 27780, 584, 4280, 28027, 6, 825, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2914, 358, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2914, 834, 3734, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 27780, 3274, 96, 536, 2560, 75, 75, 121, 3430, 825, 3274, 96, 27995, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the lowest Industry, when Year is greater than 2005, and when Agriculture is greater than 11?
SELECT MIN(industry) FROM table_name_96 WHERE year > 2005 AND agriculture > 11
CREATE TABLE table_name_96 (industry INTEGER, year VARCHAR, agriculture VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 13580, 7, 8224, 3, 21342, 17966, 6, 215, 584, 4280, 28027, 6, 11402, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 9036, 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, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 13580, 7, 8224, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 215, 2490, 3105, 3430, 11402, 2490, 850, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the average Industry, when Agriculture is greater than 11?
SELECT AVG(industry) FROM table_name_44 WHERE agriculture > 11
CREATE TABLE table_name_44 (industry INTEGER, agriculture INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 13580, 7, 8224, 3, 21342, 17966, 6, 11402, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 9036, 6, 116, 16943, 19, 2123, 145, 85...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 13580, 7, 8224, 61, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 11402, 2490, 850, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
When the points scored was over 110.25%, what's the average amount lost?
SELECT AVG(lost) FROM table_name_69 WHERE _percentage_pts > 110.25
CREATE TABLE table_name_69 (lost INTEGER, _percentage_pts INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 2298, 17, 3, 21342, 17966, 6, 3, 834, 883, 3728, 545, 834, 102, 17, 7, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 366, 8, 979, 5799, 47, 147...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 3, 834, 883, 3728, 545, 834, 102, 17, 7, 2490, 11190, 5, 1828, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
If the points scored were 93.45%, what's the lowest amount of games lost?
SELECT MIN(lost) FROM table_name_27 WHERE _percentage_pts = 93.45
CREATE TABLE table_name_27 (lost INTEGER, _percentage_pts VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 2298, 17, 3, 21342, 17966, 6, 3, 834, 883, 3728, 545, 834, 102, 17, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 156, 8, 979, 5799, 130, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 3, 834, 883, 3728, 545, 834, 102, 17, 7, 3274, 3, 4271, 5, 2128, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the rank of the film directed by Kevin Costner?
SELECT COUNT(rank) FROM table_name_14 WHERE director = "kevin costner"
CREATE TABLE table_name_14 (rank VARCHAR, director VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 6254, 584, 4280, 28027, 6, 2090, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 11003, 13, 8, 814, 6640, 57, 8595, 6409, 687, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 6254, 61, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 2090, 3274, 96, 1050, 2494, 583, 687, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What director grossed $200,512,643
SELECT director FROM table_name_96 WHERE gross = "$200,512,643"
CREATE TABLE table_name_96 (director VARCHAR, gross VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 25982, 584, 4280, 28027, 6, 8690, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2090, 16917, 26, 19503, 6, 24163, 6, 4389, 519, 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, 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, 2090, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 8690, 3274, 96, 3229, 3632, 6, 24163, 6, 4389, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the average rank of the movie from Paramount Studios that grossed $200,512,643?
SELECT AVG(rank) FROM table_name_26 WHERE studio = "paramount" AND gross = "$200,512,643"
CREATE TABLE table_name_26 (rank INTEGER, studio VARCHAR, gross VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 6254, 3, 21342, 17966, 6, 3100, 584, 4280, 28027, 6, 8690, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 11003, 13, 8, 1974, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 6254, 61, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 3100, 3274, 96, 6583, 11231, 121, 3430, 8690, 3274, 96, 3229, 3632, 6, 24163, 6, 4389, 519, 121, 1, -100, -100, -100, -100, -100, -100, -1...
Who directed Teenage Mutant Ninja Turtles?
SELECT director FROM table_name_81 WHERE title = "teenage mutant ninja turtles"
CREATE TABLE table_name_81 (director VARCHAR, title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 25982, 584, 4280, 28027, 6, 2233, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 6640, 19959, 545, 16601, 288, 12776, 1191, 29909, 7, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2090, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 2233, 3274, 96, 6808, 545, 26569, 3, 29, 77, 1191, 29151, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What director ranked higher than 1 from Universal Studios and grossed $201,957,688?
SELECT director FROM table_name_17 WHERE rank > 1 AND studio = "universal" AND gross = "$201,957,688"
CREATE TABLE table_name_17 (director VARCHAR, gross VARCHAR, rank VARCHAR, studio VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 25982, 584, 4280, 28027, 6, 8690, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 6, 3100, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2090, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2090, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 11003, 2490, 209, 3430, 3100, 3274, 96, 7846, 138, 121, 3430, 8690, 3274, 96, 3229, 22772, 6, 3301, 940, 6, 3651, 927, 121, 1, -100, -100, -100, -100, -100, -...
When the rider is Garry Mccoy and the manufacturer was Kawasaki, what was the time retired?
SELECT time_retired FROM table_name_94 WHERE manufacturer = "kawasaki" AND rider = "garry mccoy"
CREATE TABLE table_name_94 (time_retired VARCHAR, manufacturer VARCHAR, rider VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 4818, 584, 4280, 28027, 6, 2564, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 8, 2564, 52, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 97, 834, 10682, 1271, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 4818, 3274, 96, 1258, 9491, 11259, 121, 3430, 2564, 52, 3274, 96, 1478, 651, 3, 51, 75, 509, 63, 121, 1, -100, -100, -100, -100, -100, -100, ...
What's the highest amount of laps Garry Mccoy drove?
SELECT MAX(laps) FROM table_name_73 WHERE rider = "garry mccoy"
CREATE TABLE table_name_73 (laps INTEGER, rider VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 8478, 7, 3, 21342, 17966, 6, 2564, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 2030, 866, 13, 14941, 7, 3121, 651, 3038, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 8478, 7, 61, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 2564, 52, 3274, 96, 1478, 651, 3, 51, 75, 509, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...