NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
What is the Score of the Tournament played on Clay Surface on May 5, 1999?
CREATE TABLE table_78908 ( "Date" text, "Tournament" text, "Surface" text, "Opponent in the final" text, "Score" text )
SELECT "Score" FROM table_78908 WHERE "Surface" = 'clay' AND "Date" = 'may 5, 1999'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3940, 2394, 927, 41, 96, 308, 342, 121, 1499, 6, 96, 382, 1211, 20205, 17, 121, 1499, 6, 96, 134, 450, 4861, 121, 1499, 6, 96, 667, 102, 9977, 16, 8, 804, 121, 1499, 6,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 9022, 121, 21680, 953, 834, 3940, 2394, 927, 549, 17444, 427, 96, 134, 450, 4861, 121, 3274, 3, 31, 4651, 63, 31, 3430, 96, 308, 342, 121, 3274, 3, 31, 13726, 7836, 5247, 31, 1, -100, -100, -100, -100, ...
What is the most gold medals when the bronze medals were 0, and the silver medals greater than 1?
CREATE TABLE table_name_75 ( gold INTEGER, bronze VARCHAR, silver VARCHAR )
SELECT MAX(gold) FROM table_name_75 WHERE bronze = 0 AND silver > 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 2045, 3, 21342, 17966, 6, 13467, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 167, 2045, 9365, 7, 116...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 14910, 61, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 13467, 3274, 3, 632, 3430, 4294, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the lowest Top-5, when Top-25 is less than 4, and when Cuts made is less than 7?
CREATE TABLE table_name_33 ( top_5 INTEGER, top_25 VARCHAR, cuts_made VARCHAR )
SELECT MIN(top_5) FROM table_name_33 WHERE top_25 < 4 AND cuts_made < 7
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 420, 834, 755, 3, 21342, 17966, 6, 420, 834, 1828, 584, 4280, 28027, 6, 8620, 834, 4725, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 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, 1...
[ 3, 23143, 14196, 3, 17684, 599, 2916, 834, 9120, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 420, 834, 1828, 3, 2, 314, 3430, 8620, 834, 4725, 3, 2, 489, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
List the record of 0-1 from the table?
CREATE TABLE table_14656147_2 (week VARCHAR, record VARCHAR)
SELECT week FROM table_14656147_2 WHERE record = "0-1"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24300, 4834, 24719, 834, 357, 41, 8041, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 6792, 8, 1368, 13, 3, 632, 2292, 45, 8, 953, 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, 471, 21680, 953, 834, 24300, 4834, 24719, 834, 357, 549, 17444, 427, 1368, 3274, 96, 632, 2292, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the number of nicknames for the meaning of god knows my journey.
CREATE TABLE table_11908801_1 ( nickname VARCHAR, meaning VARCHAR )
SELECT COUNT(nickname) FROM table_11908801_1 WHERE meaning = "God Knows My Journey"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2596, 2394, 4060, 4542, 834, 536, 41, 24649, 584, 4280, 28027, 6, 2530, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 381, 13, 24649, 7, 21, 8, 2530, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 11191, 4350, 61, 21680, 953, 834, 2596, 2394, 4060, 4542, 834, 536, 549, 17444, 427, 2530, 3274, 96, 6221, 26, 8900, 7, 499, 20709, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many Mixed Doubles won when Oliver Pongratz won the Men's Singles?
CREATE TABLE table_12164707_1 ( mixed_doubles VARCHAR, mens_singles VARCHAR )
SELECT COUNT(mixed_doubles) FROM table_12164707_1 WHERE mens_singles = "Oliver Pongratz"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2122, 2938, 4177, 4560, 834, 536, 41, 4838, 834, 25761, 7, 584, 4280, 28027, 6, 1076, 7, 834, 7, 53, 965, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 13682, 15, 26, 834, 25761, 7, 61, 21680, 953, 834, 2122, 2938, 4177, 4560, 834, 536, 549, 17444, 427, 1076, 7, 834, 7, 53, 965, 3274, 96, 667, 7591, 52, 20093, 9454, 172, 121, 1, -100, -100, -100...
the number of total skaters in the competition
CREATE TABLE table_204_120 ( id number, "rank" number, "athlete" text, "country" text, "time" text, "notes" text )
SELECT COUNT("athlete") FROM table_204_120
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 15518, 41, 3, 23, 26, 381, 6, 96, 6254, 121, 381, 6, 96, 26170, 15, 121, 1499, 6, 96, 17529, 121, 1499, 6, 96, 715, 121, 1499, 6, 96, 7977, 7, 121, 1499, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 121, 26170, 15, 8512, 21680, 953, 834, 26363, 834, 15518, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the total number of bronze a team with more than 0 silver, a total of 7 medals, and less than 1 gold medal has?
CREATE TABLE table_name_97 (bronze VARCHAR, gold VARCHAR, silver VARCHAR, total VARCHAR)
SELECT COUNT(bronze) FROM table_name_97 WHERE silver > 0 AND total = 7 AND gold < 1
[ 32100, 32103, 32102, 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, 32102, 32103, 32101, 32103, 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 capacity in Aslantepe in 2002-2005?
CREATE TABLE table_name_97 (capacity INTEGER, location VARCHAR, year VARCHAR)
SELECT MAX(capacity) FROM table_name_97 WHERE location = "aslantepe" AND year = "2002-2005"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 4010, 9, 6726, 3, 21342, 17966, 6, 1128, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2030, 2614, 16, 282...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 4010, 9, 6726, 61, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 1128, 3274, 96, 9, 7, 6761, 15, 855, 121, 3430, 215, 3274, 96, 24898, 18, 22594, 121, 1, -100, -100, -100, -100, -100, -100, -100...
What is the lowest FA cup that has a league greater than 0, with a Malaysia cup greater than 5?
CREATE TABLE table_7161 ( "Player" text, "League" real, "Malaysia Cup" real, "FA Cup" real, "Total" real )
SELECT MIN("FA Cup") FROM table_7161 WHERE "League" > '0' AND "Malaysia Cup" > '5'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4450, 4241, 41, 96, 15800, 49, 121, 1499, 6, 96, 2796, 9, 5398, 121, 490, 6, 96, 329, 9, 20244, 23, 9, 3802, 121, 490, 6, 96, 4795, 3802, 121, 490, 6, 96, 3696, 1947, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 121, 4795, 3802, 8512, 21680, 953, 834, 4450, 4241, 549, 17444, 427, 96, 2796, 9, 5398, 121, 2490, 3, 31, 632, 31, 3430, 96, 329, 9, 20244, 23, 9, 3802, 121, 2490, 3, 31, 755, 31, 1, -100, -100, ...
What was the result of the Euro '64 qualifying game?
CREATE TABLE table_name_65 (results¹ VARCHAR, type_of_game VARCHAR)
SELECT results¹ FROM table_name_65 WHERE type_of_game = "euro '64 qualifying"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 60, 7, 83, 17, 7, 536, 584, 4280, 28027, 6, 686, 834, 858, 834, 7261, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 741, 13, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 772, 536, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 686, 834, 858, 834, 7261, 3274, 96, 1238, 32, 3, 31, 4389, 18002, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Total has a Rank smaller than 3, and a County of cork?
CREATE TABLE table_name_18 ( total INTEGER, rank VARCHAR, county VARCHAR )
SELECT MIN(total) FROM table_name_18 WHERE rank < 3 AND county = "cork"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 792, 3, 21342, 17966, 6, 11003, 584, 4280, 28027, 6, 5435, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 9273, 65, 3, 9, 3, 22557, 2755...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 235, 1947, 61, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 11003, 3, 2, 220, 3430, 5435, 3274, 96, 5715, 157, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Show all calendar dates and day Numbers.
CREATE TABLE Ref_calendar (calendar_date VARCHAR, day_Number VARCHAR)
SELECT calendar_date, day_Number FROM Ref_calendar
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 419, 89, 834, 1489, 35, 3439, 41, 1489, 35, 3439, 834, 5522, 584, 4280, 28027, 6, 239, 834, 567, 5937, 49, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 3111, 66, 4793, 5128, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4793, 834, 5522, 6, 239, 834, 567, 5937, 49, 21680, 419, 89, 834, 1489, 35, 3439, 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 sun yang's lowest rank?
CREATE TABLE table_name_20 (rank INTEGER, name VARCHAR)
SELECT MIN(rank) FROM table_name_20 WHERE name = "sun yang"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 6254, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 1997, 3, 63, 1468, 31, 7, 7402, 11003, 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, 3, 17684, 599, 6254, 61, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 564, 3274, 96, 7, 202, 3, 63, 1468, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
If the 1USD= 5,916.27, what is the lowest 1 Euro amount?
CREATE TABLE table_71335 ( "Country" text, "Currency" text, "1 Euro =" real, "1 USD =" real, "Central bank" text )
SELECT MIN("1 Euro =") FROM table_71335 WHERE "1 USD =" = '5,916.27'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4450, 519, 2469, 41, 96, 10628, 651, 121, 1499, 6, 96, 254, 450, 52, 4392, 121, 1499, 6, 96, 536, 2430, 3, 17592, 490, 6, 96, 536, 9513, 3, 17592, 490, 6, 96, 30497, 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, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 536, 2430, 3, 17592, 61, 21680, 953, 834, 4450, 519, 2469, 549, 17444, 427, 96, 536, 9513, 3, 17592, 3274, 3, 31, 11116, 4729, 23913, 940, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
When South warrnambool has more than 8 wins, what is the least amount of losses?
CREATE TABLE table_name_64 ( losses INTEGER, club VARCHAR, wins VARCHAR )
SELECT MIN(losses) FROM table_name_64 WHERE club = "south warrnambool" AND wins > 8
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 8467, 3, 21342, 17966, 6, 1886, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 366, 1013, 615, 52, 13363, 12840, 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, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 2298, 2260, 61, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 1886, 3274, 96, 7, 670, 107, 615, 52, 13363, 12840, 40, 121, 3430, 9204, 2490, 505, 1, -100, -100, -100, -100, -100, -100, -100, -100...
Name the money raised when 2Q has money spent and 2Q is $874,042
CREATE TABLE table_78340 ( "Candidate" text, "Money Raised, 2Q" text, "Loans Received, 2Q" text, "Money Spent, 2Q" text, "Total Receipts" text, "Cash On Hand" text )
SELECT "Money Raised, 2Q" FROM table_78340 WHERE "Money Spent, 2Q" = '$874,042'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3940, 21129, 41, 96, 14050, 12416, 342, 121, 1499, 6, 96, 9168, 15, 63, 2922, 3375, 6, 204, 2247, 121, 1499, 6, 96, 434, 32, 3247, 24083, 26, 6, 204, 2247, 121, 1499, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 9168, 15, 63, 2922, 3375, 6, 204, 2247, 121, 21680, 953, 834, 3940, 21129, 549, 17444, 427, 96, 9168, 15, 63, 2526, 295, 6, 204, 2247, 121, 3274, 3, 31, 3229, 4225, 8525, 6348, 357, 31, 1, -100, -100, -100, ...
Name the orchestra for ted varnick
CREATE TABLE table_34075 ( "Track number" real, "Song title" text, "Songwriter(s)" text, "Orchestra" text, "Time" text )
SELECT "Orchestra" FROM table_34075 WHERE "Songwriter(s)" = 'ted varnick'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 21129, 3072, 41, 96, 382, 16729, 381, 121, 490, 6, 96, 134, 2444, 2233, 121, 1499, 6, 96, 134, 2444, 12756, 599, 7, 61, 121, 1499, 6, 96, 7395, 1033, 3109, 121, 1499, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 7395, 1033, 3109, 121, 21680, 953, 834, 21129, 3072, 549, 17444, 427, 96, 134, 2444, 12756, 599, 7, 61, 121, 3274, 3, 31, 1054, 3, 4331, 11191, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the home team on February 18 that had a visitor of the Chicago Black Hawks?
CREATE TABLE table_46051 ( "Date" text, "Visitor" text, "Score" text, "Home" text, "Record" text )
SELECT "Home" FROM table_46051 WHERE "Visitor" = 'chicago black hawks' AND "Date" = 'february 18'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25991, 5553, 41, 96, 308, 342, 121, 1499, 6, 96, 553, 159, 155, 127, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 19040, 121, 1499, 6, 96, 1649, 7621, 121, 1499, 3, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 19040, 121, 21680, 953, 834, 25991, 5553, 549, 17444, 427, 96, 553, 159, 155, 127, 121, 3274, 3, 31, 1436, 658, 839, 1001, 3, 14400, 7, 31, 3430, 96, 308, 342, 121, 3274, 3, 31, 89, 15, 9052, 1208, 507, 31, ...
Who was the winner in stage 3?
CREATE TABLE table_name_49 (winner VARCHAR, stage VARCHAR)
SELECT winner FROM table_name_49 WHERE stage = "3"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 3757, 687, 584, 4280, 28027, 6, 1726, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 4668, 16, 1726, 220, 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, 4668, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 1726, 3274, 96, 519, 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 original air date when 'poison ivy' is the title?
CREATE TABLE table_73557 ( "No. in series" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "U.S. viewers (in millions)" text )
SELECT "Original air date" FROM table_73557 WHERE "Title" = 'Poison Ivy'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 2469, 3436, 41, 96, 4168, 5, 16, 939, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 24965, 324, 57, 121, 1499, 6, 96, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 667, 3380, 10270, 799, 833, 121, 21680, 953, 834, 940, 2469, 3436, 549, 17444, 427, 96, 382, 155, 109, 121, 3274, 3, 31, 345, 32, 23, 739, 27, 208, 63, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
what was the top uk single on the firehouse album ?
CREATE TABLE table_203_723 ( id number, "year" number, "song" text, "us hot 100" number, "us msr" number, "us a.c." number, "can" number, "uk singles" number, "album" text )
SELECT "song" FROM table_203_723 WHERE "album" = 'firehouse' ORDER BY "uk singles" LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 940, 2773, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 7, 2444, 121, 1499, 6, 96, 302, 1312, 910, 121, 381, 6, 96, 302, 3, 51, 7, 52, 121, 381, 6,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 7, 2444, 121, 21680, 953, 834, 23330, 834, 940, 2773, 549, 17444, 427, 96, 23703, 121, 3274, 3, 31, 6608, 1840, 31, 4674, 11300, 272, 476, 96, 1598, 712, 7, 121, 8729, 12604, 209, 1, -100, -100, -100, -100, -1...
How many U.S. viewers were there for the number 4 episode in season?
CREATE TABLE table_25246990_5 ( us_viewers__millions_ VARCHAR, no_in_season VARCHAR )
SELECT us_viewers__millions_ FROM table_25246990_5 WHERE no_in_season = 4
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 2266, 3951, 2394, 834, 755, 41, 178, 834, 4576, 277, 834, 834, 17030, 7, 834, 584, 4280, 28027, 6, 150, 834, 77, 834, 9476, 584, 4280, 28027, 3, 61, 3, 32102, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 178, 834, 4576, 277, 834, 834, 17030, 7, 834, 21680, 953, 834, 1828, 2266, 3951, 2394, 834, 755, 549, 17444, 427, 150, 834, 77, 834, 9476, 3274, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the listed crowd when the home team's score is 27.13 (175)?
CREATE TABLE table_53315 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT "Crowd" FROM table_53315 WHERE "Home team score" = '27.13 (175)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4867, 519, 1808, 41, 96, 19040, 372, 121, 1499, 6, 96, 19040, 372, 2604, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 188, 1343, 372, 2604, 121, 1499, 6, 96, 553, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 96, 254, 3623, 26, 121, 21680, 953, 834, 4867, 519, 1808, 549, 17444, 427, 96, 19040, 372, 2604, 121, 3274, 3, 31, 2555, 5, 2368, 18360, 9120, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What's Kaia Kanepi's Sd?
CREATE TABLE table_27615896_20 (sd INTEGER, player VARCHAR)
SELECT MIN(sd) FROM table_27615896_20 WHERE player = "Kaia Kanepi"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 4241, 3449, 4314, 834, 1755, 41, 7, 26, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 17654, 9, 4540, 15, 102, 23, 31, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 7, 26, 61, 21680, 953, 834, 2555, 4241, 3449, 4314, 834, 1755, 549, 17444, 427, 1959, 3274, 96, 439, 9, 23, 9, 4540, 15, 102, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Beohari's reserved for (SC/ST/None)?
CREATE TABLE table_79279 ( "Constituency number" text, "Name" text, "Reserved for ( SC / ST /None)" text, "District" text, "Number of electorates (2009)" real )
SELECT "Reserved for ( SC / ST /None)" FROM table_79279 WHERE "Name" = 'beohari'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4440, 357, 4440, 41, 96, 4302, 2248, 17, 76, 4392, 381, 121, 1499, 6, 96, 23954, 121, 1499, 6, 96, 1649, 3473, 15, 26, 21, 41, 6508, 3, 87, 5097, 3, 87, 567, 782, 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, 96, 1649, 3473, 15, 26, 21, 41, 6508, 3, 87, 5097, 3, 87, 567, 782, 61, 121, 21680, 953, 834, 4440, 357, 4440, 549, 17444, 427, 96, 23954, 121, 3274, 3, 31, 346, 32, 16250, 31, 1, -100, -100, -100, -100, -100, ...
Who are the contenders In the New York 29 polling area race?
CREATE TABLE table_1342256_32 (candidates VARCHAR, district VARCHAR)
SELECT candidates FROM table_1342256_32 WHERE district = "New York 29"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2368, 4165, 19337, 834, 2668, 41, 1608, 12416, 6203, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 33, 8, 26134, 7, 86, 8, 368, 1060, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4341, 21680, 953, 834, 2368, 4165, 19337, 834, 2668, 549, 17444, 427, 3939, 3274, 96, 6861, 1060, 2838, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the highest Played that's for the Team of Cerro Porteño, with a Position that's larger than 1?
CREATE TABLE table_name_59 (played INTEGER, team VARCHAR, position VARCHAR)
SELECT MAX(played) FROM table_name_59 WHERE team = "cerro porteño" AND position > 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 4895, 15, 26, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2030, 2911, 15, 26, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4895, 15, 26, 61, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 372, 3274, 96, 2110, 52, 32, 5137, 2, 32, 121, 3430, 1102, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the relationship between Height and Weight ?
CREATE TABLE candidate ( Candidate_ID int, People_ID int, Poll_Source text, Date text, Support_rate real, Consider_rate real, Oppose_rate real, Unsure_rate real ) CREATE TABLE people ( People_ID int, Sex text, Name text, Date_of_Birth text, Height real, Weight re...
SELECT Height, Weight FROM people
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4775, 41, 25833, 17, 15, 834, 4309, 16, 17, 6, 2449, 834, 4309, 16, 17, 6, 14457, 834, 23799, 1499, 6, 7678, 1499, 6, 4224, 834, 2206, 490, 6, 9151, 834, 2206, 490, 6, 4495, 2748, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 24231, 6, 14230, 21680, 151, 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, -100, -100, -100, -100, -100, -100, -100, -...
Who played River Plate?
CREATE TABLE table_21447 ( "Team #1" text, "Points" text, "Team #2" text, "1st leg" text, "2nd leg" text )
SELECT "Team #2" FROM table_21447 WHERE "Team #1" = 'River Plate'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27357, 4177, 41, 96, 18699, 7172, 121, 1499, 6, 96, 22512, 7, 121, 1499, 6, 96, 18699, 15493, 121, 1499, 6, 96, 536, 7, 17, 4553, 121, 1499, 6, 96, 357, 727, 4553, 121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 96, 18699, 15493, 121, 21680, 953, 834, 27357, 4177, 549, 17444, 427, 96, 18699, 7172, 121, 3274, 3, 31, 448, 23, 624, 14477, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Team 1, has Team 2, Slovan Liberec?
CREATE TABLE table_name_13 (team_1 VARCHAR, team_2 VARCHAR)
SELECT team_1 FROM table_name_13 WHERE team_2 = "slovan liberec"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 11650, 834, 536, 584, 4280, 28027, 6, 372, 834, 357, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 2271, 1914, 65, 2271, 3547, 18043, 2132, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 372, 834, 536, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 372, 834, 357, 3274, 96, 7, 5850, 152, 5486, 15, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Find the number of matches happened in each year.
CREATE TABLE matches (YEAR VARCHAR)
SELECT COUNT(*), YEAR FROM matches GROUP BY YEAR
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6407, 41, 476, 19356, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2588, 8, 381, 13, 6407, 2817, 16, 284, 215, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 201, 30431, 21680, 6407, 350, 4630, 6880, 272, 476, 30431, 1, -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 score of the tied game or the away team of Crewe Alexandra?
CREATE TABLE table_name_13 ( tie_no VARCHAR, away_team VARCHAR )
SELECT tie_no FROM table_name_13 WHERE away_team = "crewe alexandra"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 6177, 834, 29, 32, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 2604, 13, 8, 10422, 467, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6177, 834, 29, 32, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 550, 834, 11650, 3274, 96, 5045, 1123, 1240, 226, 152, 3515, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What score has tim duncan (27) as the leading scorer?
CREATE TABLE table_name_96 ( score VARCHAR, leading_scorer VARCHAR )
SELECT score FROM table_name_96 WHERE leading_scorer = "tim duncan (27)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 2604, 584, 4280, 28027, 6, 1374, 834, 7, 5715, 49, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 2604, 65, 3, 2998, 146, 29, 1608, 4743,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2604, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 1374, 834, 7, 5715, 49, 3274, 96, 2998, 146, 29, 1608, 4743, 12703, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the report of the united states grand prix west?
CREATE TABLE table_209 ( "Rnd" real, "Race" text, "Date" text, "Location" text, "Pole Position" text, "Fastest Lap" text, "Race Winner" text, "Constructor" text, "Report" text )
SELECT "Report" FROM table_209 WHERE "Race" = 'United States Grand Prix West'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4198, 41, 96, 448, 727, 121, 490, 6, 96, 448, 3302, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 434, 32, 75, 257, 121, 1499, 6, 96, 8931, 15, 14258, 121, 1499, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 96, 1649, 1493, 121, 21680, 953, 834, 357, 4198, 549, 17444, 427, 96, 448, 3302, 121, 3274, 3, 31, 5110, 23, 1054, 1323, 2698, 12942, 1244, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which democratic incumbent is from the district of ohio 7?
CREATE TABLE table_name_93 ( incumbent VARCHAR, party VARCHAR, district VARCHAR )
SELECT incumbent FROM table_name_93 WHERE party = "democratic" AND district = "ohio 7"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 28406, 584, 4280, 28027, 6, 1088, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 15053, 28406, 19, 45, 8, 3939,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 28406, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 1088, 3274, 96, 23319, 447, 121, 3430, 3939, 3274, 96, 32, 107, 23, 32, 489, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When 2005 is the year played what is the lowest year drafted?
CREATE TABLE table_22300 ( "Player" text, "FCSL Team" text, "Years Played" text, "Year Drafted" real, "Round" text, "MLB Team" text )
SELECT MIN("Year Drafted") FROM table_22300 WHERE "Years Played" = '2005'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2884, 5426, 41, 96, 15800, 49, 121, 1499, 6, 96, 5390, 5629, 2271, 121, 1499, 6, 96, 476, 2741, 7, 2911, 15, 26, 121, 1499, 6, 96, 476, 2741, 21409, 15, 26, 121, 490, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 476, 2741, 21409, 15, 26, 8512, 21680, 953, 834, 2884, 5426, 549, 17444, 427, 96, 476, 2741, 7, 2911, 15, 26, 121, 3274, 3, 31, 22594, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many candidates were there in the year of 1987?
CREATE TABLE table_19698421_1 (number_of_candidates VARCHAR, year VARCHAR)
SELECT number_of_candidates FROM table_19698421_1 WHERE year = "1987"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 3951, 4608, 2658, 834, 536, 41, 5525, 1152, 834, 858, 834, 1608, 12416, 6203, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 381, 834, 858, 834, 1608, 12416, 6203, 21680, 953, 834, 2294, 3951, 4608, 2658, 834, 536, 549, 17444, 427, 215, 3274, 96, 2294, 4225, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many viewers (in millions) did episode 1 have?
CREATE TABLE table_25356350_2 (viewers__in_millions_ VARCHAR, series__number VARCHAR)
SELECT viewers__in_millions_ FROM table_25356350_2 WHERE series__number = 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 2469, 3891, 1752, 834, 357, 41, 4576, 277, 834, 834, 77, 834, 17030, 7, 834, 584, 4280, 28027, 6, 939, 834, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32102, 32103, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 13569, 834, 834, 77, 834, 17030, 7, 834, 21680, 953, 834, 1828, 2469, 3891, 1752, 834, 357, 549, 17444, 427, 939, 834, 834, 5525, 1152, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the position that has baltimore bullets and college of texas tech
CREATE TABLE table_56191 ( "Round" text, "Pick" text, "Player" text, "Position" text, "Nationality" text, "Team" text, "College" text )
SELECT "Position" FROM table_56191 WHERE "Team" = 'baltimore bullets' AND "College" = 'texas tech'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4834, 2294, 536, 41, 96, 448, 32, 1106, 121, 1499, 6, 96, 345, 3142, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 24732, 485, 121,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 345, 32, 7, 4749, 121, 21680, 953, 834, 4834, 2294, 536, 549, 17444, 427, 96, 18699, 121, 3274, 3, 31, 3849, 17, 23, 3706, 11126, 7, 31, 3430, 96, 9939, 7883, 121, 3274, 3, 31, 10354, 9, 7, 5256, 31, 1, -1...
Which team was 3:47.761 on day 2?
CREATE TABLE table_name_78 (team VARCHAR, day_2 VARCHAR)
SELECT team FROM table_name_78 WHERE day_2 = "3:47.761"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 11650, 584, 4280, 28027, 6, 239, 834, 357, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 372, 47, 220, 10, 4177, 5, 3959, 536, 30, 239, 20...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 239, 834, 357, 3274, 96, 519, 10, 4177, 5, 3959, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who was the radio commentator when the final television commentator was John Dunn?
CREATE TABLE table_21903 ( "Year(s)" real, "Final television commentator" text, "Radio commentator" text, "Spokesperson" text, "Semi-final television commentator" text, "Semi-final second television commentator" text )
SELECT "Radio commentator" FROM table_21903 WHERE "Final television commentator" = 'John Dunn'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 11776, 519, 41, 96, 476, 2741, 599, 7, 61, 121, 490, 6, 96, 371, 10270, 4390, 1670, 1016, 121, 1499, 6, 96, 31313, 1670, 1016, 121, 1499, 6, 96, 134, 102, 32, 7735, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 96, 31313, 1670, 1016, 121, 21680, 953, 834, 357, 11776, 519, 549, 17444, 427, 96, 371, 10270, 4390, 1670, 1016, 121, 3274, 3, 31, 18300, 6393, 29, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the title of the German film that is originally called Mama, Ich Lebe?
CREATE TABLE table_name_14 ( film_title_used_in_nomination VARCHAR, language VARCHAR, original_name VARCHAR )
SELECT film_title_used_in_nomination FROM table_name_14 WHERE language = "german" AND original_name = "mama, ich lebe"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 814, 834, 21869, 834, 10064, 834, 77, 834, 29, 32, 14484, 584, 4280, 28027, 6, 1612, 584, 4280, 28027, 6, 926, 834, 4350, 584, 4280, 28027, 3, 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, 814, 834, 21869, 834, 10064, 834, 77, 834, 29, 32, 14484, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 1612, 3274, 96, 1304, 348, 121, 3430, 926, 834, 4350, 3274, 96, 51, 265, 9, 6, 3, 362, 90, 346, 121, 1...
What was the score of Collingwood?
CREATE TABLE table_name_69 ( home_team VARCHAR )
SELECT home_team AS score FROM table_name_69 WHERE home_team = "collingwood"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 234, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 2604, 13, 9919, 53, 2037, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 234, 834, 11650, 3274, 96, 3297, 697, 2037, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the number of cancelled for turnham green
CREATE TABLE table_211615_2 (cancelled VARCHAR, station VARCHAR)
SELECT COUNT(cancelled) FROM table_211615_2 WHERE station = "Turnham Green"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2658, 2938, 1808, 834, 357, 41, 1608, 7125, 1361, 584, 4280, 28027, 6, 2478, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 381, 13, 18454, 21, 919, 1483, 1442...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1608, 7125, 1361, 61, 21680, 953, 834, 2658, 2938, 1808, 834, 357, 549, 17444, 427, 2478, 3274, 96, 382, 450, 29, 1483, 1862, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the method of elimination for Kofi Kingston/
CREATE TABLE table_27029 ( "Eliminated" real, "Wrestler" text, "Entered" real, "Eliminated by" text, "Method of elimination" text, "Time" text )
SELECT "Method of elimination" FROM table_27029 WHERE "Wrestler" = 'Kofi Kingston'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 17485, 3166, 41, 96, 427, 4941, 77, 920, 121, 490, 6, 96, 518, 6216, 1171, 121, 1499, 6, 96, 16924, 3737, 121, 490, 6, 96, 427, 4941, 77, 920, 57, 121, 1499, 6, 96, 233...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 96, 23351, 107, 32, 26, 13, 23458, 121, 21680, 953, 834, 17485, 3166, 549, 17444, 427, 96, 518, 6216, 1171, 121, 3274, 3, 31, 439, 858, 23, 26133, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
WHAT IS THE CARRIER FOR 4.7.0.208 VERSION?
CREATE TABLE table_name_25 (carrier VARCHAR, package_version VARCHAR)
SELECT carrier FROM table_name_25 WHERE package_version = "4.7.0.208"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 1720, 6711, 584, 4280, 28027, 6, 2642, 834, 8674, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 21665, 6827, 1853, 3087, 12224, 18988, 5652, 2853, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 9568, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 2642, 834, 8674, 3274, 96, 25211, 5, 18189, 4018, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the number of laps for the honda vehicle, with a grid of 13?
CREATE TABLE table_38020 ( "Driver" text, "Constructor" text, "Laps" text, "Time/Retired" text, "Grid" text )
SELECT "Laps" FROM table_38020 WHERE "Constructor" = 'honda' AND "Grid" = '13'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 22671, 1755, 41, 96, 20982, 52, 121, 1499, 6, 96, 4302, 7593, 127, 121, 1499, 6, 96, 3612, 102, 7, 121, 1499, 6, 96, 13368, 87, 1649, 11809, 26, 121, 1499, 6, 96, 13313, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 96, 3612, 102, 7, 121, 21680, 953, 834, 22671, 1755, 549, 17444, 427, 96, 4302, 7593, 127, 121, 3274, 3, 31, 31782, 31, 3430, 96, 13313, 26, 121, 3274, 3, 31, 2368, 31, 1, -100, -100, -100, -100, -100, -100, -100,...
How many episodes were directed by Michael McCullers?
CREATE TABLE table_27558 ( "No. in series" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "U.S. viewers (million)" text )
SELECT COUNT("Original air date") FROM table_27558 WHERE "Directed by" = 'Michael McCullers'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25988, 3449, 41, 96, 4168, 5, 16, 939, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 24965, 324, 57, 121, 1499, 6, 96, 667, 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, 121, 667, 3380, 10270, 799, 833, 8512, 21680, 953, 834, 25988, 3449, 549, 17444, 427, 96, 23620, 15, 26, 57, 121, 3274, 3, 31, 329, 362, 9, 15, 40, 7040, 83, 1171, 7, 31, 1, -100, -100, -100, -...
For those employees who was hired before 2002-06-21, show me the trend about department_id over hire_date with a line chart.
CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE employees ( EMPLOYEE_I...
SELECT HIRE_DATE, DEPARTMENT_ID FROM employees WHERE HIRE_DATE < '2002-06-21'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3248, 41, 301, 5618, 8015, 834, 4309, 7908, 1982, 599, 8525, 632, 201, 3, 13733, 26418, 834, 24604, 12200, 134, 3, 4331, 4059, 599, 2445, 201, 3, 16034, 16359, 834, 5911, 5596, 3, 4331...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 454, 14132, 834, 308, 6048, 6, 3396, 19846, 11810, 834, 4309, 21680, 1652, 549, 17444, 427, 454, 14132, 834, 308, 6048, 3, 2, 3, 31, 24898, 18, 5176, 16539, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What week has a date of September 3, 2000?
CREATE TABLE table_name_98 (week INTEGER, date VARCHAR)
SELECT AVG(week) FROM table_name_98 WHERE date = "september 3, 2000"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 8041, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 471, 65, 3, 9, 833, 13, 1600, 6180, 2766, 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, 71, 17217, 599, 8041, 61, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 833, 3274, 96, 7, 6707, 18247, 6180, 2766, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
what is the number of patients whose discharge location is left against medical advi and procedure short title is int inser lead atri-vent?
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) C...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI" AND procedures.short_title = "Int inser lead atri-vent"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 18730, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
Which IHSAA Class has a Mascot of wildcats?
CREATE TABLE table_name_2 ( ihsaa_class VARCHAR, mascot VARCHAR )
SELECT ihsaa_class FROM table_name_2 WHERE mascot = "wildcats"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 3, 23, 107, 7, 9, 9, 834, 4057, 584, 4280, 28027, 6, 3, 2754, 4310, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 27, 4950, 5498, 4501...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 23, 107, 7, 9, 9, 834, 4057, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 3, 2754, 4310, 3274, 96, 23282, 2138, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which episode had Lavern Baker?
CREATE TABLE table_28480 ( "Episode" text, "Theme" text, "Song choice" text, "Original recording artist" text, "Order #" text, "Result" text )
SELECT "Episode" FROM table_28480 WHERE "Original recording artist" = 'LaVern Baker'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 20579, 41, 96, 427, 102, 159, 32, 221, 121, 1499, 6, 96, 634, 526, 121, 1499, 6, 96, 134, 2444, 1160, 121, 1499, 6, 96, 667, 3380, 10270, 5592, 2377, 121, 1499, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 427, 102, 159, 32, 221, 121, 21680, 953, 834, 2577, 20579, 549, 17444, 427, 96, 667, 3380, 10270, 5592, 2377, 121, 3274, 3, 31, 3612, 5000, 29, 10731, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
On which days more than one revisions were made on catalogs.
CREATE TABLE catalog_structure ( catalog_level_number number, catalog_id number, catalog_level_name text ) CREATE TABLE catalogs ( catalog_id number, catalog_name text, catalog_publisher text, date_of_publication time, date_of_latest_revision time ) CREATE TABLE catalog_contents ( ...
SELECT date_of_latest_revision FROM catalogs GROUP BY date_of_latest_revision HAVING COUNT(*) > 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 10173, 834, 16180, 41, 10173, 834, 4563, 834, 5525, 1152, 381, 6, 10173, 834, 23, 26, 381, 6, 10173, 834, 4563, 834, 4350, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 833, 834, 858, 834, 521, 4377, 834, 60, 6610, 21680, 10173, 7, 350, 4630, 6880, 272, 476, 833, 834, 858, 834, 521, 4377, 834, 60, 6610, 454, 6968, 2365, 2847, 17161, 599, 1935, 61, 2490, 209, 1, -100, -100, -100, ...
Show the number of competitions held in each city with a bar chart, and rank in descending by the y axis.
CREATE TABLE city ( City_ID int, Official_Name text, Status text, Area_km_2 real, Population real, Census_Ranking text ) CREATE TABLE competition_record ( Competition_ID int, Farm_ID int, Rank int ) CREATE TABLE farm ( Farm_ID int, Year int, Total_Horses real, Worki...
SELECT Official_Name, COUNT(Official_Name) FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY Official_Name ORDER BY COUNT(Official_Name) DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 690, 41, 896, 834, 4309, 16, 17, 6, 13686, 834, 23954, 1499, 6, 19318, 1499, 6, 5690, 834, 5848, 834, 357, 490, 6, 29659, 490, 6, 23086, 834, 22557, 53, 1499, 3, 61, 3, 32102, 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, 13686, 834, 23954, 6, 2847, 17161, 599, 667, 89, 22816, 834, 23954, 61, 21680, 690, 6157, 332, 536, 3, 15355, 3162, 3797, 834, 287, 4995, 4749, 6157, 332, 357, 9191, 332, 5411, 254, 485, 834, 4309, 3274, 332, 4416, ...
Name the average number of seasons for Prva HNL of 17
CREATE TABLE table_5658 ( "Club" text, "Position in 2012\u201313" text, "First season in top division" text, "Number of seasons in top division" real, "Number of seasons in Prva HNL" real, "First season of current spell in top division" text, "Top division titles" text, "Last top divisio...
SELECT AVG("Number of seasons in top division") FROM table_5658 WHERE "Number of seasons in Prva HNL" = '17'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4834, 3449, 41, 96, 254, 11158, 121, 1499, 6, 96, 345, 32, 7, 4749, 16, 1673, 2, 76, 11138, 2368, 121, 1499, 6, 96, 25171, 774, 16, 420, 4889, 121, 1499, 6, 96, 567, 59...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 121, 567, 5937, 49, 13, 9385, 16, 420, 4889, 8512, 21680, 953, 834, 4834, 3449, 549, 17444, 427, 96, 567, 5937, 49, 13, 9385, 16, 8570, 900, 454, 18207, 121, 3274, 3, 31, 2517, 31, 1, -100, -100, ...
What was the attendance at the week 7 game?
CREATE TABLE table_name_43 (attendance VARCHAR, week VARCHAR)
SELECT attendance FROM table_name_43 WHERE week = 7
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 15116, 663, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 11364, 44, 8, 471, 489, 467, 58, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11364, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 471, 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...
Return the hispanic percentage for cities in which the black percentage is greater than 10.
CREATE TABLE city ( city_id number, county_id number, name text, white number, black number, amerindian number, asian number, multiracial number, hispanic number ) CREATE TABLE county_public_safety ( county_id number, name text, population number, police_officers num...
SELECT hispanic FROM city WHERE black > 10
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 690, 41, 690, 834, 23, 26, 381, 6, 5435, 834, 23, 26, 381, 6, 564, 1499, 6, 872, 381, 6, 1001, 381, 6, 183, 6655, 8603, 381, 6, 3, 9, 10488, 381, 6, 1249, 52, 9, 4703, 381, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 112, 2837, 447, 21680, 690, 549, 17444, 427, 1001, 2490, 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, -100, -100, -100...
What are the results for Bill Shuster?
CREATE TABLE table_name_71 (results VARCHAR, incumbent VARCHAR)
SELECT results FROM table_name_71 WHERE incumbent = "bill shuster"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 60, 7, 83, 17, 7, 584, 4280, 28027, 6, 28406, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 8, 772, 21, 3259, 14565, 1370, 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, 772, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 28406, 3274, 96, 3727, 40, 3, 14279, 1370, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the organisation type and id of the organisation which has the most number of research staff?
CREATE TABLE Organisations ( organisation_type VARCHAR, organisation_id VARCHAR ) CREATE TABLE Research_Staff ( employer_organisation_id VARCHAR )
SELECT T1.organisation_type, T1.organisation_id FROM Organisations AS T1 JOIN Research_Staff AS T2 ON T1.organisation_id = T2.employer_organisation_id GROUP BY T1.organisation_id ORDER BY COUNT(*) DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 11033, 7, 41, 5102, 834, 6137, 584, 4280, 28027, 6, 5102, 834, 23, 26, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 2200, 834, 134, 17, 4127, 41, 615...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 332, 5411, 10832, 834, 6137, 6, 332, 5411, 10832, 834, 23, 26, 21680, 11033, 7, 6157, 332, 536, 3, 15355, 3162, 2200, 834, 134, 17, 4127, 6157, 332, 357, 9191, 332, 5411, 10832, 834, 23, 26, 3274, 332, 4416, 15, 1...
Look for the private health insurance patients who had an open liver biopsy procedure.
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.long_title = "Open biopsy of liver"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4293, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
Which race was at Hockenheim circuit?
CREATE TABLE table_name_74 (race_name VARCHAR, circuit VARCHAR)
SELECT race_name FROM table_name_74 WHERE circuit = "hockenheim"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 12614, 834, 4350, 584, 4280, 28027, 6, 4558, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 1964, 47, 44, 1546, 4695, 3254, 4558, 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, 1964, 834, 4350, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 4558, 3274, 96, 19076, 35, 3254, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What date did the show air when Rhod Gilbert was the headliner?
CREATE TABLE table_23122988_1 (airdate VARCHAR, headliner VARCHAR)
SELECT airdate FROM table_23122988_1 WHERE headliner = "Rhod Gilbert"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 2122, 3166, 4060, 834, 536, 41, 2256, 5522, 584, 4280, 28027, 6, 12392, 52, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 833, 410, 8, 504, 799, 116, 11092,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 799, 5522, 21680, 953, 834, 2773, 2122, 3166, 4060, 834, 536, 549, 17444, 427, 12392, 52, 3274, 96, 448, 107, 32, 26, 24378, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which series episode has a segment c that is Electric pole s transformer?
CREATE TABLE table_name_59 (series_ep VARCHAR, segment_c VARCHAR)
SELECT series_ep FROM table_name_59 WHERE segment_c = "electric pole s transformer"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 10833, 7, 834, 15, 102, 584, 4280, 28027, 6, 5508, 834, 75, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 939, 5640, 65, 3, 9, 5508, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 939, 834, 15, 102, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 5508, 834, 75, 3274, 96, 17470, 11148, 3, 7, 19903, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What's the number of drawn games for the club with a tries for count of 76?
CREATE TABLE table_12886178_5 ( drawn VARCHAR, tries_for VARCHAR )
SELECT drawn FROM table_12886178_5 WHERE tries_for = "76"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2122, 4060, 4241, 3940, 834, 755, 41, 6796, 584, 4280, 28027, 6, 3, 9000, 834, 1161, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, 381, 13, 6796, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6796, 21680, 953, 834, 2122, 4060, 4241, 3940, 834, 755, 549, 17444, 427, 3, 9000, 834, 1161, 3274, 96, 3959, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who was the 20 Questions section aimed at when the Interview Subject was Camille Paglia?
CREATE TABLE table_name_97 (interview_subject VARCHAR)
SELECT 20 AS _questions FROM table_name_97 WHERE interview_subject = "camille paglia"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 3870, 4576, 834, 7304, 11827, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 460, 14218, 1375, 3, 8287, 44, 116, 8, 14001, 19237, 47, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 460, 6157, 3, 834, 10952, 2865, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 2772, 834, 7304, 11827, 3274, 96, 6527, 1092, 15, 2576, 4707, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What country was the game played in when the location was trestles?
CREATE TABLE table_name_18 (country VARCHAR, location VARCHAR)
SELECT country FROM table_name_18 WHERE location = "trestles"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 17529, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 684, 47, 8, 467, 1944, 16, 116, 8, 1128, 47, 3, 17, 6216, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2606, 549, 17444, 427, 1128, 3274, 96, 17, 6216, 965, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
When was Season Three premiered in region 2?
CREATE TABLE table_2113721_7 ( region_2 VARCHAR, dvd_name VARCHAR )
SELECT region_2 FROM table_2113721_7 WHERE dvd_name = "Season Three"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2658, 24636, 2658, 834, 940, 41, 1719, 834, 357, 584, 4280, 28027, 6, 30114, 834, 4350, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 366, 47, 7960, 5245, 13539, 26...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1719, 834, 357, 21680, 953, 834, 2658, 24636, 2658, 834, 940, 549, 17444, 427, 30114, 834, 4350, 3274, 96, 134, 15, 9, 739, 5245, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Mark Joseph Kong's pick?
CREATE TABLE table_54452 ( "Pick" real, "Player" text, "Country of origin*" text, "PBA team" text, "College" text )
SELECT AVG("Pick") FROM table_54452 WHERE "Player" = 'mark joseph kong'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 5062, 2128, 357, 41, 96, 345, 3142, 121, 490, 6, 96, 15800, 49, 121, 1499, 6, 96, 10628, 651, 13, 5233, 1935, 121, 1499, 6, 96, 345, 4882, 372, 121, 1499, 6, 96, 9939, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 121, 345, 3142, 8512, 21680, 953, 834, 5062, 2128, 357, 549, 17444, 427, 96, 15800, 49, 121, 3274, 3, 31, 3920, 7406, 15, 102, 107, 10447, 122, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which player has 17 blocks?
CREATE TABLE table_24912693_4 (player VARCHAR, blocks VARCHAR)
SELECT player FROM table_24912693_4 WHERE blocks = 17
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 4729, 2688, 4271, 834, 591, 41, 20846, 584, 4280, 28027, 6, 6438, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 1959, 65, 1003, 6438, 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, 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, 2266, 4729, 2688, 4271, 834, 591, 549, 17444, 427, 6438, 3274, 1003, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
how many patients categorized under chemistry lab test had continuous invasive mechanical ventilation for less than 96 consecutive hours?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob te...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE procedures.long_title = "Continuous invasive mechanical ventilation for less than 96 consecutive hours" AND lab."CATEGORY" = "Chemist...
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 3388, 18206...
Name the Report has a Name of lyon grand prix?
CREATE TABLE table_62009 ( "Name" text, "Circuit" text, "Date" text, "Winning driver" text, "Winning constructor" text, "Report" text )
SELECT "Report" FROM table_62009 WHERE "Name" = 'lyon grand prix'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 948, 16660, 41, 96, 23954, 121, 1499, 6, 96, 254, 23, 52, 21560, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 518, 10503, 2535, 121, 1499, 6, 96, 518, 10503, 6774, 127, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 96, 1649, 1493, 121, 21680, 953, 834, 948, 16660, 549, 17444, 427, 96, 23954, 121, 3274, 3, 31, 120, 106, 1907, 3407, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
tell me the top three of the most common procedures this year?
CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime t...
SELECT t1.treatmentname FROM (SELECT treatment.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM treatment WHERE DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY treatment.treatmentname) AS t1 WHERE t1.c1 <= 3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7757, 41, 7757, 23, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 2672, 4350, 1499, 6, 17166, 1499, 6, 2981, 20466, 29, 1499, 6, 2672, 10208, 715, 97, 6, 4845, 2916, 715, 97, 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, 17, 5411, 26889, 4350, 21680, 41, 23143, 14196, 1058, 5, 26889, 4350, 6, 3, 22284, 4132, 834, 16375, 439, 9960, 3, 23288, 41, 2990, 11300, 272, 476, 2847, 17161, 599, 1935, 61, 309, 25067, 61, 6157, 3, 75, 536, ...
in how many years was the number of liberal councillors above three ?
CREATE TABLE table_204_349 ( id number, "year" number, "conservative\ncouncillors" number, "labour\ncouncillors" number, "independent\ncouncillors" number, "liberal\ncouncillors" number )
SELECT COUNT("year") FROM table_204_349 WHERE "liberal\ncouncillors" > 3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 519, 3647, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 1018, 3473, 1528, 2, 29, 509, 15254, 40, 322, 7, 121, 381, 6, 96, 9339, 1211, 2, 29, 509, 152...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 121, 1201, 8512, 21680, 953, 834, 26363, 834, 519, 3647, 549, 17444, 427, 96, 10661, 138, 2, 29, 509, 15254, 40, 322, 7, 121, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the name of the person with more than 299 games during the 1995 07 period?
CREATE TABLE table_43919 ( "Rank" real, "Name" text, "Period" text, "Games" real, "Goals" text )
SELECT "Name" FROM table_43919 WHERE "Games" > '299' AND "Period" = '1995–07'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 3288, 2294, 41, 96, 22557, 121, 490, 6, 96, 23954, 121, 1499, 6, 96, 12988, 23, 32, 26, 121, 1499, 6, 96, 23055, 7, 121, 490, 6, 96, 6221, 5405, 121, 1499, 3, 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, 96, 23954, 121, 21680, 953, 834, 591, 3288, 2294, 549, 17444, 427, 96, 23055, 7, 121, 2490, 3, 31, 357, 3264, 31, 3430, 96, 12988, 23, 32, 26, 121, 3274, 3, 31, 2294, 3301, 104, 4560, 31, 1, -100, -100, -100, -1...
What is the average amount of silver medals Montenegro, who has less than 15 bronze and more than 11 total medals, has?
CREATE TABLE table_51993 ( "Nation" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT AVG("Silver") FROM table_51993 WHERE "Bronze" < '15' AND "Nation" = 'montenegro' AND "Total" > '11'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 2294, 4271, 41, 96, 567, 257, 121, 1499, 6, 96, 23576, 121, 490, 6, 96, 134, 173, 624, 121, 490, 6, 96, 22780, 29, 776, 121, 490, 6, 96, 3696, 1947, 121, 490, 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, 121, 134, 173, 624, 8512, 21680, 953, 834, 755, 2294, 4271, 549, 17444, 427, 96, 22780, 29, 776, 121, 3, 2, 3, 31, 1808, 31, 3430, 96, 567, 257, 121, 3274, 3, 31, 4662, 35, 15, 3844, 31, 3430, ...
recipient of renal transplant with good function ( serum creatinine < / = 1.6 mg / dl, creatinine clearance > / = 60 ml / min and albumin excretion < / = 300 mg / 24 hr ) for > 3 months.
CREATE TABLE table_dev_18 ( "id" int, "bleeding" int, "chronic_anticoagulant_therapy" bool, "renal_disease" bool, "hyperlipidemia" bool, "creatinine_clearance_cl" float, "chronic_hemostasis_disorders" bool, "significant_proteinuria" bool, "platelet_count" float, "total_cholestero...
SELECT * FROM table_dev_18 WHERE renal_transplantation = 1 AND (serum_creatinine <= 1.6 AND creatinine_clearance_cl >= 60 AND albumin_excretion <= 300)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9776, 834, 2606, 41, 96, 23, 26, 121, 16, 17, 6, 96, 27779, 53, 121, 16, 17, 6, 96, 10363, 2532, 834, 5965, 28286, 288, 834, 10896, 121, 3, 12840, 40, 6, 96, 1536, 138,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1429, 21680, 953, 834, 9776, 834, 2606, 549, 17444, 427, 23328, 834, 7031, 14925, 257, 3274, 209, 3430, 41, 7, 49, 440, 834, 5045, 144, 77, 630, 3, 2, 2423, 3, 15062, 3430, 8830, 77, 630, 834, 2482, 9, 5219, 834, ...
Draw a scatter chart about the correlation between author_id and gender_mf .
CREATE TABLE Course_Authors_and_Tutors ( author_id INTEGER, author_tutor_ATB VARCHAR(3), login_name VARCHAR(40), password VARCHAR(40), personal_name VARCHAR(80), middle_name VARCHAR(80), family_name VARCHAR(80), gender_mf VARCHAR(1), address_line_1 VARCHAR(80) ) CREATE TABLE Student...
SELECT author_id, gender_mf FROM Course_Authors_and_Tutors ORDER BY personal_name
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 8670, 834, 23602, 127, 7, 834, 232, 834, 28676, 7, 41, 2291, 834, 23, 26, 3, 21342, 17966, 6, 2291, 834, 17, 76, 17, 127, 834, 5767, 279, 584, 4280, 28027, 17867, 6, 11255, 834, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2291, 834, 23, 26, 6, 7285, 834, 51, 89, 21680, 8670, 834, 23602, 127, 7, 834, 232, 834, 28676, 7, 4674, 11300, 272, 476, 525, 834, 4350, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score when Arsenal was the away team?
CREATE TABLE table_65642 ( "Tie no" text, "Home team" text, "Score" text, "Away team" text, "Date" text )
SELECT "Score" FROM table_65642 WHERE "Away team" = 'arsenal'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4122, 4389, 357, 41, 96, 382, 23, 15, 150, 121, 1499, 6, 96, 19040, 372, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 308, 342, 121,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 9022, 121, 21680, 953, 834, 4122, 4389, 357, 549, 17444, 427, 96, 188, 1343, 372, 121, 3274, 3, 31, 291, 7, 35, 138, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
when the max speed for modified speed (6th gear) where standard speed (6th gear) is 98
CREATE TABLE table_19704392_1 (modified_speed__6th_gear_ INTEGER, standard_speed__6th_gear_ VARCHAR)
SELECT MAX(modified_speed__6th_gear_) FROM table_19704392_1 WHERE standard_speed__6th_gear_ = "98"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 2518, 4906, 4508, 834, 536, 41, 7360, 3676, 834, 9993, 834, 834, 948, 189, 834, 397, 291, 834, 3, 21342, 17966, 6, 1068, 834, 9993, 834, 834, 948, 189, 834, 397, 291,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 7360, 3676, 834, 9993, 834, 834, 948, 189, 834, 397, 291, 834, 61, 21680, 953, 834, 2294, 2518, 4906, 4508, 834, 536, 549, 17444, 427, 1068, 834, 9993, 834, 834, 948, 189, 834, 397, 291, 834, 3274, 9...
what is the location when began is before 1990 and the country is france?
CREATE TABLE table_name_87 ( location VARCHAR, began VARCHAR, country VARCHAR )
SELECT location FROM table_name_87 WHERE began < 1990 AND country = "france"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4225, 41, 1128, 584, 4280, 28027, 6, 1553, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 1128, 116, 1553, 19, 274...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1128, 21680, 953, 834, 4350, 834, 4225, 549, 17444, 427, 1553, 3, 2, 5541, 3430, 684, 3274, 96, 89, 5219, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Score has a Record of 36–61?
CREATE TABLE table_name_29 (score VARCHAR, record VARCHAR)
SELECT score FROM table_name_29 WHERE record = "36–61"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 7, 9022, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 17763, 65, 3, 9, 11392, 13, 4475, 104, 4241, 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, 2604, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 1368, 3274, 96, 3420, 104, 4241, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which team had a position of linebacker with a pick smaller of 288?
CREATE TABLE table_name_44 ( school_club_team VARCHAR, position VARCHAR, pick VARCHAR )
SELECT school_club_team FROM table_name_44 WHERE position = "linebacker" AND pick < 288
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 496, 834, 13442, 834, 11650, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 372, 141...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 496, 834, 13442, 834, 11650, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 1102, 3274, 96, 747, 1549, 49, 121, 3430, 1432, 3, 2, 204, 4060, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
WHICH 1990 has a 1993 of 1r?
CREATE TABLE table_name_3 (Id VARCHAR)
SELECT 1990 FROM table_name_3 WHERE 1993 = "1r"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 196, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 3, 15313, 22293, 5541, 65, 3, 9, 8388, 13, 209, 52, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5541, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 8388, 3274, 96, 536, 52, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who made the decision on the game where the record was 29-28-12?
CREATE TABLE table_27537518_9 ( decision VARCHAR, record VARCHAR )
SELECT decision FROM table_27537518_9 WHERE record = "29-28-12"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25988, 22954, 2606, 834, 1298, 41, 1357, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 263, 8, 1357, 30, 8, 467, 213, 8, 1368, 47...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1357, 21680, 953, 834, 25988, 22954, 2606, 834, 1298, 549, 17444, 427, 1368, 3274, 96, 3166, 18, 2577, 5947, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the position listed for the team the Philadelphia Flyers?
CREATE TABLE table_17457 ( "Pick #" real, "Player" text, "Position" text, "Nationality" text, "NHL team" text, "College/junior/club team" text )
SELECT "Position" FROM table_17457 WHERE "NHL team" = 'Philadelphia Flyers'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 3436, 41, 96, 345, 3142, 1713, 121, 490, 6, 96, 15800, 49, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 24732, 485, 121, 1499, 6, 96, 15743, 434, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 345, 32, 7, 4749, 121, 21680, 953, 834, 27693, 3436, 549, 17444, 427, 96, 15743, 434, 372, 121, 3274, 3, 31, 23305, 15311, 11692, 9, 8223, 277, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Result has a Home team of portland, and a Date of may 31?
CREATE TABLE table_name_30 (result VARCHAR, home_team VARCHAR, date VARCHAR)
SELECT result FROM table_name_30 WHERE home_team = "portland" AND date = "may 31"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 3, 20119, 65,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 234, 834, 11650, 3274, 96, 1493, 40, 232, 121, 3430, 833, 3274, 96, 13726, 2664, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
which team was last in terms of points up until this point ?
CREATE TABLE table_204_964 ( id number, "team" text, "seasons" number, "games" number, "wins" number, "ties" number, "losses" number, "goals\nfor" number, "goals\nagainst" number, "goal\ndiff" number, "points" number )
SELECT "team" FROM table_204_964 ORDER BY "points" LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 4314, 591, 41, 3, 23, 26, 381, 6, 96, 11650, 121, 1499, 6, 96, 9476, 7, 121, 381, 6, 96, 7261, 7, 121, 381, 6, 96, 3757, 7, 121, 381, 6, 96, 3010, 121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 11650, 121, 21680, 953, 834, 26363, 834, 4314, 591, 4674, 11300, 272, 476, 96, 2700, 7, 121, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who was the girl of the week 2 weeks before terri lynn farrow in the same month?
CREATE TABLE table_name_47 (week_2 VARCHAR, week_4 VARCHAR)
SELECT week_2 FROM table_name_47 WHERE week_4 = "terri lynn farrow"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 8041, 834, 357, 584, 4280, 28027, 6, 471, 834, 591, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 3202, 13, 8, 471, 204, 1274, 274,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 471, 834, 357, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 471, 834, 591, 3274, 96, 17, 21301, 3, 120, 29, 29, 623, 3623, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what are all the uu-usu score with winner is #5 brigham young (2 0)
CREATE TABLE table_13665809_2 ( uu_usu_score VARCHAR, winner VARCHAR )
SELECT uu_usu_score FROM table_13665809_2 WHERE winner = "#5 Brigham Young (2–0)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2368, 3539, 3449, 4198, 834, 357, 41, 3, 76, 76, 834, 302, 76, 834, 7, 9022, 584, 4280, 28027, 6, 4668, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 33, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 76, 76, 834, 302, 76, 834, 7, 9022, 21680, 953, 834, 2368, 3539, 3449, 4198, 834, 357, 549, 17444, 427, 4668, 3274, 96, 4663, 755, 22965, 1483, 5209, 4743, 104, 632, 61, 121, 1, -100, -100, -100, -100, -100, -1...
what is the number of patients who were hospitalized for more than 23 days and were discharged to snf?
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "SNF" AND demographic.days_stay > "23"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14798, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 564, 1499, 6, 2774, 1947, 834, 8547, 302, 1499, 6, 1246, 1499, 6, 103, 115, 1499, 6, 7285, 1499, 6, 1612, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 26, 159, 7993, 834, 14836, 3274, 96, 134, 12619, 121, 3430, 14798, 5, 1135, 7, 834, 21545, 2490, ...
What is the latest year rafael nadal was in the French Open, Roger Federer was in Wimbledon, and Roger Federer was in the Australian Open?
CREATE TABLE table_name_71 ( year INTEGER, australian_open VARCHAR, french_open VARCHAR, wimbledon VARCHAR )
SELECT MAX(year) FROM table_name_71 WHERE french_open = "rafael nadal" AND wimbledon = "roger federer" AND australian_open = "roger federer"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 215, 3, 21342, 17966, 6, 23407, 29, 834, 8751, 584, 4280, 28027, 6, 20609, 834, 8751, 584, 4280, 28027, 6, 11064, 51, 2296, 2029, 584, 4280, 28027, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 1201, 61, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 20609, 834, 8751, 3274, 96, 52, 9, 89, 9, 15, 40, 3, 18089, 40, 121, 3430, 11064, 51, 2296, 2029, 3274, 96, 3822, 49, 3, 16812, 49, 121,...
What are the catalog entry names of the products with next entry ID above 8?
CREATE TABLE catalog_structure ( catalog_level_number number, catalog_id number, catalog_level_name text ) CREATE TABLE catalogs ( catalog_id number, catalog_name text, catalog_publisher text, date_of_publication time, date_of_latest_revision time ) CREATE TABLE attribute_definitions (...
SELECT catalog_entry_name FROM catalog_contents WHERE next_entry_id > 8
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 10173, 834, 16180, 41, 10173, 834, 4563, 834, 5525, 1152, 381, 6, 10173, 834, 23, 26, 381, 6, 10173, 834, 4563, 834, 4350, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 10173, 834, 295, 651, 834, 4350, 21680, 10173, 834, 14819, 7, 549, 17444, 427, 416, 834, 295, 651, 834, 23, 26, 2490, 505, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
have a body mass index ( bmi ) >= 3
CREATE TABLE table_train_82 ( "id" int, "mini_mental_state_examination_mmse" int, "systolic_blood_pressure_sbp" int, "diastolic_blood_pressure_dbp" int, "body_mass_index_bmi" float, "hypertension" bool, "age" float, "NOUSE" float )
SELECT * FROM table_train_82 WHERE body_mass_index_bmi >= 3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9719, 834, 4613, 41, 96, 23, 26, 121, 16, 17, 6, 96, 7619, 834, 13974, 834, 5540, 834, 994, 9, 14484, 834, 635, 7, 15, 121, 16, 17, 6, 96, 7, 63, 7, 235, 2176, 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, 1429, 21680, 953, 834, 9719, 834, 4613, 549, 17444, 427, 643, 834, 2754, 7, 834, 18288, 834, 115, 51, 23, 2490, 2423, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Score of the Fifa World Cup 1986 Play-off Competition?
CREATE TABLE table_name_7 (score VARCHAR, competition VARCHAR)
SELECT score FROM table_name_7 WHERE competition = "fifa world cup 1986 play-off"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 7, 9022, 584, 4280, 28027, 6, 2259, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 17763, 13, 8, 377, 99, 9, 1150, 3802, 12698, 2911, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 2259, 3274, 96, 89, 99, 9, 296, 4119, 12698, 577, 18, 1647, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What Country is in Rank 2?
CREATE TABLE table_name_97 ( country VARCHAR, rank VARCHAR )
SELECT country FROM table_name_97 WHERE rank = 2
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 684, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 6993, 19, 16, 3, 22557, 204, 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, 684, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 11003, 3274, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many words are there in rusyn for the bulgarian word купува (kupuva)?
CREATE TABLE table_28136_15 (rusyn VARCHAR, bulgarian VARCHAR)
SELECT COUNT(rusyn) FROM table_28136_15 WHERE bulgarian = "купува (kupuva)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 23459, 834, 1808, 41, 4502, 63, 29, 584, 4280, 28027, 6, 25876, 6855, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 1234, 33, 132, 16, 3, 4502, 63, 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, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 4502, 63, 29, 61, 21680, 953, 834, 2577, 23459, 834, 1808, 549, 17444, 427, 25876, 6855, 3274, 96, 25644, 2, 3700, 16624, 41, 2729, 4987, 900, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
What was the attendance at the game before week 8, held on October 25, 1981?
CREATE TABLE table_9766 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" real )
SELECT SUM("Attendance") FROM table_9766 WHERE "Date" = 'october 25, 1981' AND "Week" < '8'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4327, 3539, 41, 96, 518, 10266, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 188, 17, 324, 26, 663, 121, 490,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 121, 188, 17, 324, 26, 663, 8512, 21680, 953, 834, 4327, 3539, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 32, 75, 235, 1152, 14105, 15465, 31, 3430, 96, 518, 10266, 121, 3, 2, 3, 31, 927, ...
Which season has Losses of 30?
CREATE TABLE table_41078 ( "Season" text, "Division" text, "Finish" text, "Wins" text, "Losses" text, "Pct." text )
SELECT "Season" FROM table_41078 WHERE "Losses" = '30'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24175, 3940, 41, 96, 134, 15, 9, 739, 121, 1499, 6, 96, 308, 23, 6610, 121, 1499, 6, 96, 371, 77, 1273, 121, 1499, 6, 96, 18455, 7, 121, 1499, 6, 96, 434, 13526, 7, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 15, 9, 739, 121, 21680, 953, 834, 24175, 3940, 549, 17444, 427, 96, 434, 13526, 7, 121, 3274, 3, 31, 1458, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...