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
Tell me the recorded for time of 2:50 and released date of 6/6/77 with track more than 20
SELECT recorded FROM table_name_84 WHERE track > 20 AND release_date = "6/6/77" AND time = "2:50"
CREATE TABLE table_name_84 (recorded VARCHAR, time VARCHAR, track VARCHAR, release_date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 60, 7621, 15, 26, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 6, 1463, 584, 4280, 28027, 6, 1576, 834, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4381, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 1463, 2490, 460, 3430, 1576, 834, 5522, 3274, 96, 948, 18656, 87, 4013, 121, 3430, 97, 3274, 96, 357, 10, 1752, 121, 1, -100, -100, -100, -100, -100, -100, -1...
Tell me the release date record on 10/29/76 and a time on 2:50
SELECT release_date FROM table_name_45 WHERE time = "2:50" AND recorded = "10/29/76"
CREATE TABLE table_name_45 (release_date VARCHAR, time VARCHAR, recorded VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 21019, 834, 5522, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 6, 4381, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 1576, 833, 1368,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1576, 834, 5522, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 97, 3274, 96, 357, 10, 1752, 121, 3430, 4381, 3274, 96, 1714, 87, 3166, 87, 3959, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the catalogue that has tracks less than 13 and the release date of 10/31/72
SELECT catalogue FROM table_name_28 WHERE track < 13 AND release_date = "10/31/72"
CREATE TABLE table_name_28 (catalogue VARCHAR, track VARCHAR, release_date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 2138, 9, 10384, 584, 4280, 28027, 6, 1463, 584, 4280, 28027, 6, 1576, 834, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 14978, 24,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 14978, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 1463, 3, 2, 1179, 3430, 1576, 834, 5522, 3274, 96, 1714, 14207, 12989, 5865, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the opening date of the musical at the adelphi theatre?
SELECT opening_date FROM table_name_6 WHERE classification = "musical" AND theatre = "adelphi theatre"
CREATE TABLE table_name_6 (opening_date VARCHAR, classification VARCHAR, theatre VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 8751, 53, 834, 5522, 584, 4280, 28027, 6, 13774, 584, 4280, 28027, 6, 8516, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2101, 833, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2101, 834, 5522, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 13774, 3274, 96, 22170, 138, 121, 3430, 8516, 3274, 96, 15311, 11692, 8516, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What opening date has a capacity of 100?
SELECT opening_date FROM table_name_53 WHERE capacity = 100
CREATE TABLE table_name_53 (opening_date VARCHAR, capacity VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 8751, 53, 834, 5522, 584, 4280, 28027, 6, 2614, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2101, 833, 65, 3, 9, 2614, 13, 910, 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, 2101, 834, 5522, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 2614, 3274, 910, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
On average, how many wins have a rank lower than 1?
SELECT AVG(wins) FROM table_name_14 WHERE rank < 1
CREATE TABLE table_name_14 (wins INTEGER, rank INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 3757, 7, 3, 21342, 17966, 6, 11003, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 461, 1348, 6, 149, 186, 9204, 43, 3, 9, 11003, 1364, 145, 209, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3757, 7, 61, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 11003, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest level of Earnings($) to have a Wins value of 22 and a Rank lower than 2?
SELECT MIN(earnings__) AS $__ FROM table_name_78 WHERE wins = 22 AND rank < 2
CREATE TABLE table_name_78 (earnings__ INTEGER, wins VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 2741, 29, 53, 7, 834, 834, 3, 21342, 17966, 6, 9204, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2741, 29, 53, 7, 834, 834, 61, 6157, 1514, 834, 834, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 9204, 3274, 1630, 3430, 11003, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
In total, how much did the United States player George Archer earn with Wins lower than 24 and a rank that was higher than 5?
SELECT COUNT(earnings__) AS $__ FROM table_name_28 WHERE country = "united states" AND wins < 24 AND player = "george archer" AND rank > 5
CREATE TABLE table_name_28 (earnings__ VARCHAR, rank VARCHAR, player VARCHAR, country VARCHAR, wins VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 2741, 29, 53, 7, 834, 834, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 9204, 584, 4280, 28027...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 2741, 29, 53, 7, 834, 834, 61, 6157, 1514, 834, 834, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 684, 3274, 96, 15129, 15, 26, 2315, 121, 3430, 9204, 3, 2, 997, 3430, 1959, 3274, 96, 397, ...
What state did Hon David Beddall belong to?
SELECT state FROM table_name_47 WHERE member = "hon david beddall"
CREATE TABLE table_name_47 (state VARCHAR, member VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 5540, 584, 4280, 28027, 6, 1144, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 538, 410, 11772, 1955, 7499, 26, 1748, 13000, 12, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 538, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 1144, 3274, 96, 107, 106, 836, 6961, 1953, 26, 1748, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
In what state was the electorate fowler?
SELECT state FROM table_name_1 WHERE electorate = "fowler"
CREATE TABLE table_name_1 (state VARCHAR, electorate VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 5540, 584, 4280, 28027, 6, 11924, 127, 342, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 125, 538, 47, 8, 11924, 127, 342, 5575, 210, 1171, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 538, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 11924, 127, 342, 3274, 96, 89, 2381, 1171, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What position does the player from arkansas play?
SELECT pos FROM table_name_57 WHERE school_country = "arkansas"
CREATE TABLE table_name_57 (pos VARCHAR, school_country VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 2748, 584, 4280, 28027, 6, 496, 834, 17529, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1102, 405, 8, 1959, 45, 3, 6604, 3247, 9, 7, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 2748, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 496, 834, 17529, 3274, 96, 6604, 3247, 9, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the word count that is named omega dot?
SELECT word__number FROM table_name_37 WHERE name = "omega dot"
CREATE TABLE table_name_37 (word__number VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 6051, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1448, 3476, 24, 19, 2650, 27305, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1448, 834, 834, 5525, 1152, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 564, 3274, 96, 7159, 122, 9, 103, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total word count with a subframe count greater than 3?
SELECT SUM(word__number) FROM table_name_43 WHERE subframe__number > 3
CREATE TABLE table_name_43 (word__number INTEGER, subframe__number INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 6051, 834, 834, 5525, 1152, 3, 21342, 17966, 6, 769, 11415, 834, 834, 5525, 1152, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 6051, 834, 834, 5525, 1152, 61, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 769, 11415, 834, 834, 5525, 1152, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the total grid with laps less than 2?
SELECT SUM(grid) FROM table_name_78 WHERE laps < 2
CREATE TABLE table_name_78 (grid INTEGER, laps INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 3496, 26, 3, 21342, 17966, 6, 14941, 7, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, 8634, 28, 14941, 7, 705, 145, 204, 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, 180, 6122, 599, 3496, 26, 61, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 14941, 7, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How much time is required for less than 35 laps and less than 10 grids?
SELECT time_retired FROM table_name_9 WHERE laps < 35 AND grid < 10
CREATE TABLE table_name_9 (time_retired VARCHAR, laps VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 231, 97, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 97, 834, 10682, 1271, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 14941, 7, 3, 2, 3097, 3430, 8634, 3, 2, 335, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the Venue for Goal number 1?
SELECT venue FROM table_name_24 WHERE goal = 1
CREATE TABLE table_name_24 (venue VARCHAR, goal VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 15098, 584, 4280, 28027, 6, 1288, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 29940, 21, 17916, 381, 209, 58, 1, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5669, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 1288, 3274, 209, 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 airing date when the number of episodes was larger than 20 and had the genre of costume action?
SELECT airing_date FROM table_name_73 WHERE number_of_episodes > 20 AND genre = "costume action"
CREATE TABLE table_name_73 (airing_date VARCHAR, number_of_episodes VARCHAR, genre VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 2256, 53, 834, 5522, 584, 4280, 28027, 6, 381, 834, 858, 834, 15, 102, 159, 32, 1395, 584, 4280, 28027, 6, 5349, 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, 799, 53, 834, 5522, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 381, 834, 858, 834, 15, 102, 159, 32, 1395, 2490, 460, 3430, 5349, 3274, 96, 11290, 440, 15, 1041, 121, 1, -100, -100, -100, -100, -100, -100, ...
What are the number of episodes when the genre is modern drama and the highest average ratings points are 28?
SELECT AVG(number_of_episodes) FROM table_name_34 WHERE genre = "modern drama" AND highest_average_point_ratings = 28
CREATE TABLE table_name_34 (number_of_episodes INTEGER, genre VARCHAR, highest_average_point_ratings VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 5525, 1152, 834, 858, 834, 15, 102, 159, 32, 1395, 3, 21342, 17966, 6, 5349, 584, 4280, 28027, 6, 2030, 834, 28951, 834, 2700, 834, 52, 1014, 7, 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, 71, 17217, 599, 5525, 1152, 834, 858, 834, 15, 102, 159, 32, 1395, 61, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 5349, 3274, 96, 18306, 6616, 121, 3430, 2030, 834, 28951, 834, 2700, 834, 52, 1014, 7, 3274, ...
What year was S.A. Allward's theme that had an issue price of $16.95 released?
SELECT year FROM table_name_60 WHERE issue_price = "$16.95" AND artist = "s.a. allward"
CREATE TABLE table_name_60 (year VARCHAR, issue_price VARCHAR, artist VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 1201, 584, 4280, 28027, 6, 962, 834, 102, 4920, 584, 4280, 28027, 6, 2377, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 215, 47, 180, 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, 0, 0...
[ 3, 23143, 14196, 215, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 962, 834, 102, 4920, 3274, 96, 3229, 2938, 5, 3301, 121, 3430, 2377, 3274, 96, 7, 5, 9, 5, 66, 2239, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the total mintage for years after 2002 that had a 85th Anniversary of Vimy Ridge theme?
SELECT COUNT(mintage) FROM table_name_68 WHERE theme = "85th anniversary of vimy ridge" AND year > 2002
CREATE TABLE table_name_68 (mintage VARCHAR, theme VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 1109, 6505, 584, 4280, 28027, 6, 3800, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 792, 13983, 545, 21, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1109, 6505, 61, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 3800, 3274, 96, 4433, 189, 7685, 13, 5931, 2258, 3, 7700, 121, 3430, 215, 2490, 4407, 1, -100, -100, -100, -100, -100, -100, -100, ...
How many people attended the game where Footscray was away?
SELECT crowd FROM table_name_29 WHERE away_team = "footscray"
CREATE TABLE table_name_29 (crowd VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 75, 3623, 26, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 151, 5526, 8, 467, 213, 15213, 7, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4374, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 550, 834, 11650, 3274, 96, 6259, 7, 2935, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many pages associated with isbn 91-7713-035-9?
SELECT SUM(pages) FROM table_name_75 WHERE isbn = "isbn 91-7713-035-9"
CREATE TABLE table_name_75 (pages INTEGER, isbn VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 6492, 7, 3, 21342, 17966, 6, 19, 115, 29, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1688, 1968, 28, 19, 115, 29, 3, 4729, 6832, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 6492, 7, 61, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 19, 115, 29, 3274, 96, 159, 115, 29, 3, 4729, 6832, 4450, 22773, 2469, 7141, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What home team played at MCG?
SELECT away_team FROM table_name_18 WHERE venue = "mcg"
CREATE TABLE table_name_18 (away_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 234, 372, 1944, 44, 283, 12150, 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, 550, 834, 11650, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 5669, 3274, 96, 51, 75, 122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What away team played at Kardinia Park?
SELECT away_team AS score FROM table_name_63 WHERE venue = "kardinia park"
CREATE TABLE table_name_63 (away_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 550, 372, 1944, 44, 4556, 2644, 23, 9, 1061, 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, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 5669, 3274, 96, 4031, 2644, 23, 9, 2447, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
On what date did the match at Lake Oval take place?
SELECT date FROM table_name_63 WHERE venue = "lake oval"
CREATE TABLE table_name_63 (date VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 5522, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 125, 833, 410, 8, 1588, 44, 2154, 411, 2165, 240, 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, 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, 3891, 549, 17444, 427, 5669, 3274, 96, 16948, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What wa the date of the North Melbourne home game?
SELECT date FROM table_name_76 WHERE home_team = "north melbourne"
CREATE TABLE table_name_76 (date VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 5522, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 8036, 8, 833, 13, 8, 1117, 9396, 234, 467, 58, 1,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3959, 549, 17444, 427, 234, 834, 11650, 3274, 96, 29, 127, 189, 3, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the lowest crowd size at MCG?
SELECT MIN(crowd) FROM table_name_1 WHERE venue = "mcg"
CREATE TABLE table_name_1 (crowd INTEGER, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 75, 3623, 26, 3, 21342, 17966, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 7402, 4374, 812, 44, 283, 12150, 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, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 5669, 3274, 96, 51, 75, 122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who did the Tampa Bay Buccaneers play on december 23, 1995?
SELECT opponent FROM table_name_60 WHERE date = "december 23, 1995"
CREATE TABLE table_name_60 (opponent VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 32, 102, 9977, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 410, 8, 18855, 2474, 15882, 1608, 15, 277, 577, 30, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 833, 3274, 96, 221, 75, 18247, 12992, 7273, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
On what date was Tampa Bay's Week 4 game?
SELECT date FROM table_name_2 WHERE week = "4"
CREATE TABLE table_name_2 (date VARCHAR, week VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 5522, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 125, 833, 47, 18855, 2474, 31, 7, 6551, 314, 467, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 471, 3274, 96, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What week was it on November 19, 1995?
SELECT week FROM table_name_87 WHERE date = "november 19, 1995"
CREATE TABLE table_name_87 (week VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4225, 41, 8041, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 471, 47, 34, 30, 1671, 12370, 7273, 58, 1, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 471, 21680, 953, 834, 4350, 834, 4225, 549, 17444, 427, 833, 3274, 96, 5326, 18247, 12370, 7273, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the most gold medals a team with less than 2 silvers, more than 7 total medals, and less than 8 bronze medals has?
SELECT MAX(gold) FROM table_name_19 WHERE silver < 2 AND total > 7 AND bronze < 8
CREATE TABLE table_name_19 (gold INTEGER, bronze VARCHAR, silver VARCHAR, total VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 14910, 3, 21342, 17966, 6, 13467, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 14910, 61, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 4294, 3, 2, 204, 3430, 792, 2490, 489, 3430, 13467, 3, 2, 505, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the number of bronze that Scotland, which has less than 7 total medals, has?
SELECT SUM(bronze) FROM table_name_55 WHERE nation = "scotland" AND total < 7
CREATE TABLE table_name_55 (bronze INTEGER, nation VARCHAR, total VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 13711, 776, 3, 21342, 17966, 6, 2982, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 381, 13, 13467, 24, 82...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 13711, 776, 61, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 2982, 3274, 96, 7, 4310, 40, 232, 121, 3430, 792, 3, 2, 489, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average silver medals a team that has 1 gold and more than 5 bronze has?
SELECT AVG(silver) FROM table_name_2 WHERE gold = 1 AND bronze > 5
CREATE TABLE table_name_2 (silver INTEGER, gold VARCHAR, bronze VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 7, 173, 624, 3, 21342, 17966, 6, 2045, 584, 4280, 28027, 6, 13467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 4294, 9365, 7,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 7, 173, 624, 61, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 2045, 3274, 209, 3430, 13467, 2490, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total number of bronze a team with more than 0 silver, a total of 7 medals, and less than 1 gold medal has?
SELECT COUNT(bronze) FROM table_name_97 WHERE silver > 0 AND total = 7 AND gold < 1
CREATE TABLE table_name_97 (bronze VARCHAR, gold VARCHAR, silver VARCHAR, total VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 13711, 776, 584, 4280, 28027, 6, 2045, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 13711, 776, 61, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 4294, 2490, 3, 632, 3430, 792, 3274, 489, 3430, 2045, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the highest rank a team with 1 silver and less than 5 bronze medals has?
SELECT MAX(rank) FROM table_name_66 WHERE silver = 1 AND bronze < 5
CREATE TABLE table_name_66 (rank INTEGER, silver VARCHAR, bronze VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 6254, 3, 21342, 17966, 6, 4294, 584, 4280, 28027, 6, 13467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 11003, 3, 9, 372, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 6254, 61, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 4294, 3274, 209, 3430, 13467, 3, 2, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the highest Pl GP with a Reg GP over 18?
SELECT MAX(pl_gp) FROM table_name_22 WHERE reg_gp > 18
CREATE TABLE table_name_22 (pl_gp INTEGER, reg_gp INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 102, 40, 834, 122, 102, 3, 21342, 17966, 6, 5925, 834, 122, 102, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 2030, 7337, 3, 80...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 102, 40, 834, 122, 102, 61, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 5925, 834, 122, 102, 2490, 507, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
on June 14, what was the winning score by the Devil rays in pro player stadium?
SELECT score FROM table_name_30 WHERE venue = "pro player stadium" AND winning_team = "devil rays" AND date = "june 14"
CREATE TABLE table_name_30 (score VARCHAR, date VARCHAR, venue VARCHAR, winning_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 6, 3447, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 5669, 3274, 96, 1409, 1959, 14939, 121, 3430, 3447, 834, 11650, 3274, 96, 221, 6372, 3, 2866, 7, 121, 3430, 833, 3274, 96, 6959, 15, 968, 121, 1, -100, -100, ...
what was the score on june 16?
SELECT score FROM table_name_77 WHERE date = "june 16"
CREATE TABLE table_name_77 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 47, 8, 2604, 30, 3, 6959, 15, 898, 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, 4013, 549, 17444, 427, 833, 3274, 96, 6959, 15, 898, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
who won by a score of 4-1?
SELECT winning_team FROM table_name_2 WHERE score = "4-1"
CREATE TABLE table_name_2 (winning_team VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 8163, 834, 11650, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 113, 751, 57, 3, 9, 2604, 13, 314, 2292, 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, 3447, 834, 11650, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 2604, 3274, 96, 591, 2292, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what was the score on june 29?
SELECT score FROM table_name_83 WHERE date = "june 29"
CREATE TABLE table_name_83 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 47, 8, 2604, 30, 3, 6959, 15, 2838, 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, 4591, 549, 17444, 427, 833, 3274, 96, 6959, 15, 2838, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
what was the score on june 29 when the devil rays los?
SELECT score FROM table_name_11 WHERE losing_team = "devil rays" AND date = "june 29"
CREATE TABLE table_name_11 (score VARCHAR, losing_team VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 7, 9022, 584, 4280, 28027, 6, 5489, 834, 11650, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 47, 8, 2604, 30, 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, 2604, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 5489, 834, 11650, 3274, 96, 221, 6372, 3, 2866, 7, 121, 3430, 833, 3274, 96, 6959, 15, 2838, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what was the score of the game at pro player stadium on june 14?
SELECT score FROM table_name_9 WHERE venue = "pro player stadium" AND date = "june 14"
CREATE TABLE table_name_9 (score VARCHAR, venue VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 7, 9022, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 47, 8, 2604, 13, 8, 467, 44, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2604, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 5669, 3274, 96, 1409, 1959, 14939, 121, 3430, 833, 3274, 96, 6959, 15, 968, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the average grid for jack brabham going over 32 laps?
SELECT AVG(grid) FROM table_name_66 WHERE driver = "jack brabham" AND laps > 32
CREATE TABLE table_name_66 (grid INTEGER, driver VARCHAR, laps VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 3496, 26, 3, 21342, 17966, 6, 2535, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 8634, 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, 71, 17217, 599, 3496, 26, 61, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 2535, 3274, 96, 9325, 3858, 115, 1483, 121, 3430, 14941, 7, 2490, 3538, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Res has a Method of decision (unanimous) and an Opponent of Wataru Sakata?
SELECT res FROM table_name_10 WHERE method = "decision (unanimous)" AND opponent = "wataru sakata"
CREATE TABLE table_name_10 (res VARCHAR, method VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 60, 7, 584, 4280, 28027, 6, 1573, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7127, 65, 3, 9, 7717, 13, 1357...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 3, 60, 7, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 1573, 3274, 96, 221, 18901, 41, 202, 13607, 1162, 61, 121, 3430, 15264, 3274, 96, 210, 9, 2046, 76, 3, 7, 9, 8682, 9, 121, 1, -100, -100, -100, -100, ...
Which Record has the Res of win with the Event of extreme fighting 1?
SELECT record FROM table_name_30 WHERE res = "win" AND event = "extreme fighting 1"
CREATE TABLE table_name_30 (record VARCHAR, res VARCHAR, event VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 60, 7621, 584, 4280, 28027, 6, 3, 60, 7, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 11392, 65, 8, 7127, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 3, 60, 7, 3274, 96, 3757, 121, 3430, 605, 3274, 96, 30650, 15, 6237, 209, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the attendance where the record was 8-4?
SELECT MIN(attendance) FROM table_name_3 WHERE record = "8-4"
CREATE TABLE table_name_3 (attendance INTEGER, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 15116, 663, 3, 21342, 17966, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 11364, 213, 8, 1368, 47, 505, 4278, 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, 15116, 663, 61, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 1368, 3274, 96, 927, 18, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the largest total for a team with fewer than 12 bronze, 1 silver and 0 gold medals?
SELECT MAX(total) FROM table_name_99 WHERE bronze < 12 AND gold = 0 AND silver = 1
CREATE TABLE table_name_99 (total INTEGER, silver VARCHAR, bronze VARCHAR, gold VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 235, 1947, 3, 21342, 17966, 6, 4294, 584, 4280, 28027, 6, 13467, 584, 4280, 28027, 6, 2045, 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, 4800, 4, 599, 235, 1947, 61, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 13467, 3, 2, 586, 3430, 2045, 3274, 3, 632, 3430, 4294, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the largest total for a team with 1 bronze, 0 gold medals and ranking of 7?
SELECT MAX(total) FROM table_name_87 WHERE bronze = 1 AND rank = "7" AND gold > 0
CREATE TABLE table_name_87 (total INTEGER, gold VARCHAR, bronze VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4225, 41, 235, 1947, 3, 21342, 17966, 6, 2045, 584, 4280, 28027, 6, 13467, 584, 4280, 28027, 6, 11003, 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, 4800, 4, 599, 235, 1947, 61, 21680, 953, 834, 4350, 834, 4225, 549, 17444, 427, 13467, 3274, 209, 3430, 11003, 3274, 96, 940, 121, 3430, 2045, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the number of bronze medals when there are fewer than 0 silver medals?
SELECT SUM(bronze) FROM table_name_19 WHERE silver < 0
CREATE TABLE table_name_19 (bronze INTEGER, silver INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 13711, 776, 3, 21342, 17966, 6, 4294, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 381, 13, 13467, 9365, 7, 116, 132, 33, 3, 10643, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 13711, 776, 61, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 4294, 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 highest number of silver medals for a team with total less than 1?
SELECT MAX(silver) FROM table_name_32 WHERE total < 1
CREATE TABLE table_name_32 (silver INTEGER, total INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 7, 173, 624, 3, 21342, 17966, 6, 792, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 381, 13, 4294, 9365, 7, 21, 3, 9, 372, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 7, 173, 624, 61, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 792, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which player is from Tampa, Florida?
SELECT player FROM table_name_68 WHERE hometown = "tampa, florida"
CREATE TABLE table_name_68 (player VARCHAR, hometown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 20846, 584, 4280, 28027, 6, 22295, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1959, 19, 45, 18855, 6, 2599, 58, 1, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 22295, 3274, 96, 17, 4624, 9, 6, 12215, 26, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which college is Jordan Phillips playing for?
SELECT college FROM table_name_85 WHERE player = "jordan phillips"
CREATE TABLE table_name_85 (college VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 3297, 7883, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1900, 19, 8480, 16202, 7, 1556, 21, 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, 1900, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 1959, 3274, 96, 12775, 3768, 3, 18118, 7446, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What college has a position of defensive line and Grant high school?
SELECT college FROM table_name_5 WHERE position = "defensive line" AND school = "grant high school"
CREATE TABLE table_name_5 (college VARCHAR, position VARCHAR, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 3297, 7883, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1900, 65, 3, 9, 1102, 13, 119...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1900, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 1102, 3274, 96, 221, 23039, 15, 689, 121, 3430, 496, 3274, 96, 7662, 17, 306, 496, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What position is for Plant high school?
SELECT position FROM table_name_47 WHERE school = "plant high school"
CREATE TABLE table_name_47 (position VARCHAR, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 4718, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1102, 19, 21, 6041, 306, 496, 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, 1102, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 496, 3274, 96, 14925, 306, 496, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What position is for Dr. Phillips high school?
SELECT position FROM table_name_94 WHERE school = "dr. phillips high school"
CREATE TABLE table_name_94 (position VARCHAR, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 4718, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1102, 19, 21, 707, 5, 16202, 7, 306, 496, 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, 1102, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 496, 3274, 96, 26, 52, 5, 3, 18118, 7446, 7, 306, 496, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which hometown has a player of Ray Drew?
SELECT hometown FROM table_name_19 WHERE player = "ray drew"
CREATE TABLE table_name_19 (hometown VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 5515, 3540, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 22295, 65, 3, 9, 1959, 13, 8279, 24348, 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, 22295, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 1959, 3274, 96, 2866, 3, 26, 60, 210, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the most byes with 11 wins and fewer than 1867 againsts?
SELECT MAX(byes) FROM table_name_95 WHERE against < 1867 AND wins = 11
CREATE TABLE table_name_95 (byes INTEGER, against VARCHAR, wins VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 969, 15, 7, 3, 21342, 17966, 6, 581, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 167, 57, 15, 7, 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, 4800, 4, 599, 969, 15, 7, 61, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 581, 3, 2, 507, 3708, 3430, 9204, 3274, 850, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the draws when wins are fwewer than 9 and byes fewer than 2?
SELECT COUNT(draws) FROM table_name_15 WHERE wins < 9 AND byes < 2
CREATE TABLE table_name_15 (draws VARCHAR, wins VARCHAR, byes VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 19489, 7, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 6, 57, 15, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 14924, 116, 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, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 19489, 7, 61, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 9204, 3, 2, 668, 3430, 57, 15, 7, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What are the fewest draws with less than 7 losses and Mitta United is the Tallagatta DFL?
SELECT MIN(draws) FROM table_name_65 WHERE losses < 7 AND tallangatta_dfl = "mitta united"
CREATE TABLE table_name_65 (draws INTEGER, losses VARCHAR, tallangatta_dfl VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 19489, 7, 3, 21342, 17966, 6, 8467, 584, 4280, 28027, 6, 5065, 1468, 14748, 834, 26, 89, 40, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 19489, 7, 61, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 8467, 3, 2, 489, 3430, 5065, 1468, 14748, 834, 26, 89, 40, 3274, 96, 1538, 17, 9, 18279, 121, 1, -100, -100, -100, -100, -100, -100, ...
What are the losses when there are 9 wins and more than 1326 against?
SELECT SUM(losses) FROM table_name_47 WHERE wins = 9 AND against > 1326
CREATE TABLE table_name_47 (losses INTEGER, wins VARCHAR, against VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 2298, 2260, 3, 21342, 17966, 6, 9204, 584, 4280, 28027, 6, 581, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 8467, 116, 132, 33, 66...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 2298, 2260, 61, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 9204, 3274, 668, 3430, 581, 2490, 1179, 2688, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the decision of the Red Wings game when they had a record of 45–18–6?
SELECT decision FROM table_name_53 WHERE record = "45–18–6"
CREATE TABLE table_name_53 (decision VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 221, 18901, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1357, 13, 8, 1624, 15753, 7, 467, 116, 79, 141,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1357, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 1368, 3274, 96, 2128, 104, 2606, 104, 948, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which R 51 O value corresponds to a D 42 O value of r 19?
SELECT r_51_o FROM table_name_8 WHERE d_42_o = "r 19"
CREATE TABLE table_name_8 (r_51_o VARCHAR, d_42_o VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 52, 834, 5553, 834, 32, 584, 4280, 28027, 6, 3, 26, 834, 4165, 834, 32, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 391, 11696, 411, 701,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 52, 834, 5553, 834, 32, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 3, 26, 834, 4165, 834, 32, 3274, 96, 52, 957, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What's the highest round that louisville drafted into when their pick was over 75?
SELECT MAX(round) FROM table_name_14 WHERE school_club_team = "louisville" AND pick > 75
CREATE TABLE table_name_14 (round INTEGER, school_club_team VARCHAR, pick VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 7775, 3, 21342, 17966, 6, 496, 834, 13442, 834, 11650, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 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, 4800, 4, 599, 7775, 61, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 496, 834, 13442, 834, 11650, 3274, 96, 40, 1063, 23, 9727, 121, 3430, 1432, 2490, 6374, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
Where's the first round that southern mississippi shows up during the draft?
SELECT MIN(round) FROM table_name_31 WHERE school_club_team = "southern mississippi"
CREATE TABLE table_name_31 (round INTEGER, school_club_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 7775, 3, 21342, 17966, 6, 496, 834, 13442, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 31, 7, 8, 166, 1751, 24, 7518, 3041, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 7775, 61, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 496, 834, 13442, 834, 11650, 3274, 96, 7, 670, 760, 29, 3041, 159, 7, 23, 1572, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -10...
Cowansville has less than 16 regions and is a Brome-Missisquoi Municipality, what is their population?
SELECT MIN(population) FROM table_name_38 WHERE regional_county_municipality = "brome-missisquoi" AND name = "cowansville" AND region < 16
CREATE TABLE table_name_38 (population INTEGER, region VARCHAR, regional_county_municipality VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 9791, 7830, 3, 21342, 17966, 6, 1719, 584, 4280, 28027, 6, 3518, 834, 13362, 63, 834, 11760, 3389, 10355, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 9791, 7830, 61, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 3518, 834, 13362, 63, 834, 11760, 3389, 10355, 3274, 96, 115, 11956, 18, 11502, 159, 14460, 23, 121, 3430, 564, 3274, 96, 509, 3877, ...
Saint-Blaise-Sur-Richelieu is smaller than 68.42 km^2, what is the population of this type M municipality?
SELECT MIN(population) FROM table_name_64 WHERE type = "m" AND name = "saint-blaise-sur-richelieu" AND area__km_2__ < 68.42
CREATE TABLE table_name_64 (population INTEGER, area__km_2__ VARCHAR, type VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 9791, 7830, 3, 21342, 17966, 6, 616, 834, 834, 5848, 834, 357, 834, 834, 584, 4280, 28027, 6, 686, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 9791, 7830, 61, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 686, 3274, 96, 51, 121, 3430, 564, 3274, 96, 7, 9, 77, 17, 18, 4605, 159, 15, 18, 3042, 18, 3723, 15, 1896, 76, 121, 3430, 616, ...
What is the code for a Le Haut-Saint-Laurent municipality that has 16 or more regions?
SELECT MIN(code) FROM table_name_14 WHERE regional_county_municipality = "le haut-saint-laurent" AND region > 16
CREATE TABLE table_name_14 (code INTEGER, regional_county_municipality VARCHAR, region VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 4978, 3, 21342, 17966, 6, 3518, 834, 13362, 63, 834, 11760, 3389, 10355, 584, 4280, 28027, 6, 1719, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 4978, 61, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 3518, 834, 13362, 63, 834, 11760, 3389, 10355, 3274, 96, 109, 7438, 18, 7, 9, 77, 17, 18, 40, 402, 5320, 121, 3430, 1719, 2490, 898, 1, ...
Where was the security pacific senior classic?
SELECT location FROM table_name_74 WHERE tournament = "security pacific senior classic"
CREATE TABLE table_name_74 (location VARCHAR, tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 14836, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 47, 8, 1034, 3, 5379, 3286, 2991, 2431, 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, 1128, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 5892, 3274, 96, 19361, 3, 5379, 3286, 2991, 2431, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Home team score for the Away team of North Melbourne?
SELECT home_team AS score FROM table_name_69 WHERE away_team = "north melbourne"
CREATE TABLE table_name_69 (home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1210, 372, 2604, 21, 8, 71, 13...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 550, 834, 11650, 3274, 96, 29, 127, 189, 3, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
On what date the footscray's away game?
SELECT date FROM table_name_81 WHERE away_team = "footscray"
CREATE TABLE table_name_81 (date VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 5522, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 125, 833, 8, 2418, 7, 2935, 63, 31, 7, 550, 467, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4959, 549, 17444, 427, 550, 834, 11650, 3274, 96, 6259, 7, 2935, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the date of the game with a result of 3–2?
SELECT date FROM table_name_3 WHERE result = "3–2"
CREATE TABLE table_name_3 (date VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 5522, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 833, 13, 8, 467, 28, 3, 9, 741, 13, 220, 104, 357, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 519, 549, 17444, 427, 741, 3274, 96, 519, 104, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the date of the game with a goal of 7?
SELECT date FROM table_name_27 WHERE goal = 7
CREATE TABLE table_name_27 (date VARCHAR, goal VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 5522, 584, 4280, 28027, 6, 1288, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 833, 13, 8, 467, 28, 3, 9, 1288, 13, 489, 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, 833, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 1288, 3274, 489, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who is the opponent on april 16?
SELECT opponent FROM table_name_91 WHERE date = "april 16"
CREATE TABLE table_name_91 (opponent VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 32, 102, 9977, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 15264, 30, 3, 9, 2246, 40, 898, 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, 15264, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 833, 3274, 96, 9, 2246, 40, 898, 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 team's record on april 23?
SELECT record FROM table_name_43 WHERE date = "april 23"
CREATE TABLE table_name_43 (record VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 60, 7621, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 372, 31, 7, 1368, 30, 3, 9, 2246, 40, 1902, 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, 1368, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 833, 3274, 96, 9, 2246, 40, 1902, 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 competition when the result is loss in berlin with a score of 0-3?
SELECT competition FROM table_name_12 WHERE result = "loss" AND location = "berlin" AND score = "0-3"
CREATE TABLE table_name_12 (competition VARCHAR, score VARCHAR, result VARCHAR, location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 287, 4995, 4749, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2259, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 741, 3274, 96, 2298, 7, 121, 3430, 1128, 3274, 96, 27995, 121, 3430, 2604, 3274, 96, 632, 3486, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the date for the game in prague for the world group, consolation round competition?
SELECT date FROM table_name_57 WHERE location = "prague" AND competition = "world group, consolation round"
CREATE TABLE table_name_57 (date VARCHAR, location VARCHAR, competition VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 5522, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 6, 2259, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 833, 21, 8, 467, 16, 31096...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 1128, 3274, 96, 5319, 5398, 121, 3430, 2259, 3274, 96, 7276, 563, 6, 6900, 32, 6105, 1751, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the competition in tokyo with the result loss?
SELECT competition FROM table_name_3 WHERE location = "tokyo" AND result = "loss"
CREATE TABLE table_name_3 (competition VARCHAR, location VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 287, 4995, 4749, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2259, 16, 12, 378...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2259, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 1128, 3274, 96, 235, 3781, 32, 121, 3430, 741, 3274, 96, 2298, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
what is the year when the date is not played?
SELECT year FROM table_name_84 WHERE date = "not played"
CREATE TABLE table_name_84 (year VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 1201, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 215, 116, 8, 833, 19, 59, 1944, 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, 215, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 833, 3274, 96, 2264, 1944, 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 score when the result is loss, the year is 1980 and the competition is world group, consolation round?
SELECT score FROM table_name_45 WHERE result = "loss" AND year = "1980" AND competition = "world group, consolation round"
CREATE TABLE table_name_45 (score VARCHAR, competition VARCHAR, result VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 7, 9022, 584, 4280, 28027, 6, 2259, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 741, 3274, 96, 2298, 7, 121, 3430, 215, 3274, 96, 2294, 2079, 121, 3430, 2259, 3274, 96, 7276, 563, 6, 6900, 32, 6105, 1751, 121, 1, -100, -100, -100, -100, ...
How many attended the game on march 16 after over 64 games?
SELECT location_attendance FROM table_name_5 WHERE game > 64 AND date = "march 16"
CREATE TABLE table_name_5 (location_attendance VARCHAR, game VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 14836, 834, 15116, 663, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 5526, 8, 467, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 834, 15116, 663, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 467, 2490, 6687, 3430, 833, 3274, 96, 51, 7064, 898, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What numbered game featured a High rebounds of radoslav nesterović (8), and a High assists of josé calderón (9)?
SELECT COUNT(game) FROM table_name_12 WHERE high_rebounds = "radoslav nesterović (8)" AND high_assists = "josé calderón (9)"
CREATE TABLE table_name_12 (game VARCHAR, high_rebounds VARCHAR, high_assists VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 7261, 584, 4280, 28027, 6, 306, 834, 23768, 584, 4280, 28027, 6, 306, 834, 6500, 7, 17, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 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, 2847, 17161, 599, 7261, 61, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 306, 834, 23768, 3274, 96, 19042, 17457, 9190, 49, 9881, 2, 3, 28007, 121, 3430, 306, 834, 6500, 7, 17, 7, 3274, 96, 1927, 7, 154, 119...
What were the sales for Dj Casper when he was in a position lower than 13?
SELECT sales FROM table_name_51 WHERE position < 13 AND artist = "dj casper"
CREATE TABLE table_name_51 (sales VARCHAR, position VARCHAR, artist VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 7, 4529, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 2377, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 130, 8, 1085, 21, 309, 354, 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, 1085, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 1102, 3, 2, 1179, 3430, 2377, 3274, 96, 26, 354, 212, 4339, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score on January 12?
SELECT score FROM table_name_27 WHERE date = "january 12"
CREATE TABLE table_name_27 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 30, 1762, 586, 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, 2555, 549, 17444, 427, 833, 3274, 96, 7066, 76, 1208, 586, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which home team had a visitor of Ottawa Senators with a score of 1–5?
SELECT home FROM table_name_61 WHERE visitor = "ottawa senators" AND score = "1–5"
CREATE TABLE table_name_61 (home VARCHAR, visitor VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 5515, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 234, 372, 141, 3, 9, 7019, 13, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 7019, 3274, 96, 32, 17, 17, 7396, 20596, 7, 121, 3430, 2604, 3274, 96, 536, 104, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which team is number 14 and had a franchise in 1993-2000?
SELECT team FROM table_name_38 WHERE number = 14 AND years_with_franchise = "1993-2000"
CREATE TABLE table_name_38 (team VARCHAR, number VARCHAR, years_with_franchise VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 11650, 584, 4280, 28027, 6, 381, 584, 4280, 28027, 6, 203, 834, 4065, 834, 6296, 1436, 7, 15, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 381, 3274, 968, 3430, 203, 834, 4065, 834, 6296, 1436, 7, 15, 3274, 96, 19479, 21160, 2313, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the player in Position G on the Petron Blaze Boosters and retired in 2000?
SELECT name FROM table_name_61 WHERE position = "g" AND team = "petron blaze boosters" AND year_retired = "2000"
CREATE TABLE table_name_61 (name VARCHAR, year_retired VARCHAR, position VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 4350, 584, 4280, 28027, 6, 215, 834, 10682, 1271, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4241, 549, 17444, 427, 1102, 3274, 96, 122, 121, 3430, 372, 3274, 96, 855, 6255, 3, 21020, 22205, 7, 121, 3430, 215, 834, 10682, 1271, 3274, 96, 13527, 121, 1, -100, -100, -100, -100...
How many years did the team in slot number 9 have a franchise?
SELECT years_with_franchise FROM table_name_16 WHERE number = 9
CREATE TABLE table_name_16 (years_with_franchise VARCHAR, number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 1201, 7, 834, 4065, 834, 6296, 1436, 7, 15, 584, 4280, 28027, 6, 381, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 203, 410, 8, 372, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 203, 834, 4065, 834, 6296, 1436, 7, 15, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 381, 3274, 668, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Tell me the highest matches for point 43 and final rank less than 7
SELECT MAX(matches) FROM table_name_32 WHERE point = 43 AND final_rank < 7
CREATE TABLE table_name_32 (matches INTEGER, point VARCHAR, final_rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 19515, 15, 7, 3, 21342, 17966, 6, 500, 584, 4280, 28027, 6, 804, 834, 6254, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 2030, 64...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 19515, 15, 7, 61, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 500, 3274, 8838, 3430, 804, 834, 6254, 3, 2, 489, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Tell me the average final rank for loe more than 10 and point less than 43
SELECT AVG(final_rank) FROM table_name_8 WHERE lose > 10 AND point < 43
CREATE TABLE table_name_8 (final_rank INTEGER, lose VARCHAR, point VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 12406, 834, 6254, 3, 21342, 17966, 6, 2615, 584, 4280, 28027, 6, 500, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 1348, 804, 11003,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 12406, 834, 6254, 61, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 2615, 2490, 335, 3430, 500, 3, 2, 8838, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
I want the average lose for lost point more than 16 and goal difference less than 37 and point less than 43
SELECT AVG(lose) FROM table_name_96 WHERE lost_point > 16 AND goal_difference < 37 AND point < 43
CREATE TABLE table_name_96 (lose INTEGER, point VARCHAR, lost_point VARCHAR, goal_difference VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 10227, 3, 21342, 17966, 6, 500, 584, 4280, 28027, 6, 1513, 834, 2700, 584, 4280, 28027, 6, 1288, 834, 26, 99, 11788, 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, 71, 17217, 599, 10227, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 1513, 834, 2700, 2490, 898, 3430, 1288, 834, 26, 99, 11788, 3, 2, 6862, 3430, 500, 3, 2, 8838, 1, -100, -100, -100, -100, -100, -100, -...
I want the total number of matches for draw less than 7 and lost point of 16 with lose more than 4
SELECT COUNT(matches) FROM table_name_14 WHERE draw < 7 AND lost_point = 16 AND lose > 4
CREATE TABLE table_name_14 (matches VARCHAR, lose VARCHAR, draw VARCHAR, lost_point VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 19515, 15, 7, 584, 4280, 28027, 6, 2615, 584, 4280, 28027, 6, 3314, 584, 4280, 28027, 6, 1513, 834, 2700, 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, 2847, 17161, 599, 19515, 15, 7, 61, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 3314, 3, 2, 489, 3430, 1513, 834, 2700, 3274, 898, 3430, 2615, 2490, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Tell me the highest point with lost point being 33 and league point less than 52
SELECT MAX(point) FROM table_name_98 WHERE lost_point = 33 AND league_point < 52
CREATE TABLE table_name_98 (point INTEGER, lost_point VARCHAR, league_point VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 2700, 3, 21342, 17966, 6, 1513, 834, 2700, 584, 4280, 28027, 6, 5533, 834, 2700, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 2030,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 2700, 61, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 1513, 834, 2700, 3274, 5400, 3430, 5533, 834, 2700, 3, 2, 9065, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many laps for a grid larger than 1 with a Time/Retired of halfshaft?
SELECT laps FROM table_name_31 WHERE grid > 1 AND time_retired = "halfshaft"
CREATE TABLE table_name_31 (laps VARCHAR, grid VARCHAR, time_retired VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 8478, 7, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 14941, 7, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 14941, 7, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 8634, 2490, 209, 3430, 97, 834, 10682, 1271, 3274, 96, 17114, 7, 8045, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the average grid that has over 8 laps, a Time/Retired of +2 laps, and peter gethin driving?
SELECT AVG(grid) FROM table_name_61 WHERE laps > 8 AND time_retired = "+2 laps" AND driver = "peter gethin"
CREATE TABLE table_name_61 (grid INTEGER, driver VARCHAR, laps VARCHAR, time_retired VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 3496, 26, 3, 21342, 17966, 6, 2535, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 61, 3, 32105, 32106, 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, 71, 17217, 599, 3496, 26, 61, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 14941, 7, 2490, 505, 3430, 97, 834, 10682, 1271, 3274, 96, 1220, 357, 14941, 7, 121, 3430, 2535, 3274, 96, 4995, 49, 129, 2907, 121, ...
What is the low grid that has brm and over 54 laps?
SELECT MIN(grid) FROM table_name_20 WHERE constructor = "brm" AND laps > 54
CREATE TABLE table_name_20 (grid INTEGER, constructor VARCHAR, laps VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 3496, 26, 3, 21342, 17966, 6, 6774, 127, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 731, 8634, 24,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 3496, 26, 61, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 6774, 127, 3274, 96, 115, 52, 51, 121, 3430, 14941, 7, 2490, 10630, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What city has larger than 94.1 as a frequency?
SELECT city_of_license FROM table_name_62 WHERE frequency_mhz > 94.1
CREATE TABLE table_name_62 (city_of_license VARCHAR, frequency_mhz INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 6726, 834, 858, 834, 28062, 584, 4280, 28027, 6, 7321, 834, 51, 107, 172, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 690, 65, 2186, 145, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 690, 834, 858, 834, 28062, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 7321, 834, 51, 107, 172, 2490, 668, 19708, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the Frequency MHz for the station with a call sign of w224bn?
SELECT AVG(frequency_mhz) FROM table_name_2 WHERE call_sign = "w224bn"
CREATE TABLE table_name_2 (frequency_mhz INTEGER, call_sign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 30989, 834, 51, 107, 172, 3, 21342, 17966, 6, 580, 834, 6732, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 5532, 835, 11298, 3, 2021...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 30989, 834, 51, 107, 172, 61, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 580, 834, 6732, 3274, 96, 210, 24622, 115, 29, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What class is the city of black mountain, north carolina?
SELECT class FROM table_name_45 WHERE city_of_license = "black mountain, north carolina"
CREATE TABLE table_name_45 (class VARCHAR, city_of_license VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 4057, 584, 4280, 28027, 6, 690, 834, 858, 834, 28062, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 853, 19, 8, 690, 13, 1001, 4180, 6, 345...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 853, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 690, 834, 858, 834, 28062, 3274, 96, 19699, 4180, 6, 3457, 443, 12057, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the FCC frequency for the station w262al which has a Frequency MHz larger than 92.7?
SELECT fcc_info FROM table_name_35 WHERE frequency_mhz > 92.7 AND call_sign = "w262al"
CREATE TABLE table_name_35 (fcc_info VARCHAR, frequency_mhz VARCHAR, call_sign VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 89, 75, 75, 834, 9583, 584, 4280, 28027, 6, 7321, 834, 51, 107, 172, 584, 4280, 28027, 6, 580, 834, 6732, 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, 89, 75, 75, 834, 9583, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 7321, 834, 51, 107, 172, 2490, 668, 21280, 3430, 580, 834, 6732, 3274, 96, 210, 2688, 357, 138, 121, 1, -100, -100, -100, -100, -100, -1...
What grad has a Time/Retired of + 1:24.3?
SELECT grid FROM table_name_74 WHERE time_retired = "+ 1:24.3"
CREATE TABLE table_name_74 (grid VARCHAR, time_retired VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 3496, 26, 584, 4280, 28027, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 3, 3987, 65, 3, 9, 2900, 87, 1649, 11809...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8634, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 97, 834, 10682, 1271, 3274, 96, 1220, 30651, 21841, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...