NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
What's the number of the player from Boise State?
CREATE TABLE table_10015132_3 (no VARCHAR, school_club_team VARCHAR)
SELECT no FROM table_10015132_3 WHERE school_club_team = "Boise State"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2915, 1808, 23757, 834, 519, 41, 29, 32, 584, 4280, 28027, 6, 496, 834, 13442, 834, 11650, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, 381, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 150, 21680, 953, 834, 2915, 1808, 23757, 834, 519, 549, 17444, 427, 496, 834, 13442, 834, 11650, 3274, 96, 279, 32, 159, 15, 1015, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the date of game 6?
CREATE TABLE table_20928649_1 (date VARCHAR, game VARCHAR)
SELECT date FROM table_20928649_1 WHERE game = 6
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1755, 4508, 3840, 3647, 834, 536, 41, 5522, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 833, 13, 467, 431, 58, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 1755, 4508, 3840, 3647, 834, 536, 549, 17444, 427, 467, 3274, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the number of patients whose insurance is medicare and procedure icd9 code is 9755?
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Medicare" AND procedures.icd9_code = "9755"
[ 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 circuit is ranked last ?
CREATE TABLE table_203_752 ( id number, "rank" number, "circuit" text, "headquarters" text, "screens" number, "sites" number )
SELECT "circuit" FROM table_203_752 ORDER BY "rank" DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 3072, 357, 41, 3, 23, 26, 381, 6, 96, 6254, 121, 381, 6, 96, 15357, 21560, 121, 1499, 6, 96, 3313, 19973, 7, 121, 1499, 6, 96, 8527, 7, 121, 381, 6, 96, 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, 96, 15357, 21560, 121, 21680, 953, 834, 23330, 834, 3072, 357, 4674, 11300, 272, 476, 96, 6254, 121, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What circut has an unknown fastest lap on July 19?
CREATE TABLE table_33776 ( "Race Name" text, "Circuit" text, "City/Location" text, "Date" text, "Pole position" text, "Fastest lap" text, "Winning driver" text, "Winning team" text, "Report" text )
SELECT "Circuit" FROM table_33776 WHERE "Fastest lap" = 'unknown' AND "Date" = 'july 19'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 4118, 3959, 41, 96, 448, 3302, 5570, 121, 1499, 6, 96, 254, 23, 52, 21560, 121, 1499, 6, 96, 254, 485, 87, 434, 32, 75, 257, 121, 1499, 6, 96, 308, 342, 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, 254, 23, 52, 21560, 121, 21680, 953, 834, 519, 4118, 3959, 549, 17444, 427, 96, 371, 9, 7, 4377, 14941, 121, 3274, 3, 31, 202, 5661, 31, 3430, 96, 308, 342, 121, 3274, 3, 31, 2047, 120, 957, 31, 1, -100, -...
What package offers cinema content and is n. 333?
CREATE TABLE table_15887683_5 ( package_option VARCHAR, content VARCHAR, n° VARCHAR )
SELECT package_option FROM table_15887683_5 WHERE content = "cinema" AND n° = "333"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1808, 4060, 3959, 4591, 834, 755, 41, 2642, 834, 11803, 584, 4280, 28027, 6, 738, 584, 4280, 28027, 6, 3, 29, 1956, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 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, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2642, 834, 11803, 21680, 953, 834, 1808, 4060, 3959, 4591, 834, 755, 549, 17444, 427, 738, 3274, 96, 14760, 51, 9, 121, 3430, 3, 29, 1956, 3274, 96, 23360, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
A bar chart about what are the names and number of hours spent training for each player who trains for less than 1500 hours?, and list by the X-axis from high to low.
CREATE TABLE Player ( pID numeric(5,0), pName varchar(20), yCard varchar(3), HS numeric(5,0) ) CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3) ) CREATE TABLE College ( cName varchar(20), state varchar(2), enr numeric(5,0) )
SELECT pName, HS FROM Player WHERE HS < 1500 ORDER BY pName DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 12387, 41, 3, 102, 4309, 206, 17552, 599, 11116, 632, 201, 3, 102, 23954, 3, 4331, 4059, 599, 1755, 201, 3, 63, 6936, 26, 3, 4331, 4059, 17867, 6, 3, 4950, 206, 17552, 599, 11116, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 102, 23954, 6, 3, 4950, 21680, 12387, 549, 17444, 427, 3, 4950, 3, 2, 15011, 4674, 11300, 272, 476, 3, 102, 23954, 309, 25067, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
what is the total number of percent (2000) where percent (1980) is 3.4%
CREATE TABLE table_1182314_5 ( percent__2000_ VARCHAR, percent__1980_ VARCHAR )
SELECT COUNT(percent__2000_) FROM table_1182314_5 WHERE percent__1980_ = "3.4%"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20056, 2773, 2534, 834, 755, 41, 1093, 834, 834, 13527, 834, 584, 4280, 28027, 6, 1093, 834, 834, 2294, 2079, 834, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 883, 3728, 834, 834, 13527, 834, 61, 21680, 953, 834, 20056, 2773, 2534, 834, 755, 549, 17444, 427, 1093, 834, 834, 2294, 2079, 834, 3274, 96, 5787, 5988, 121, 1, -100, -100, -100, -100, -100, -100, ...
what game had an attendance of 21,629
CREATE TABLE table_name_70 ( record VARCHAR, attendance VARCHAR )
SELECT record FROM table_name_70 WHERE attendance = "21,629"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 1368, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 467, 141, 46, 11364, 13, 12026, 948, 3166, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 11364, 3274, 96, 2658, 6, 948, 3166, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Show the title and the lowest rating among all movies in a pie chart.
CREATE TABLE Movie ( mID int, title text, year int, director text ) CREATE TABLE Rating ( rID int, mID int, stars int, ratingDate date ) CREATE TABLE Reviewer ( rID int, name text )
SELECT title, MIN(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY title
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 10743, 41, 3, 51, 4309, 16, 17, 6, 2233, 1499, 6, 215, 16, 17, 6, 2090, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 21662, 41, 3, 52, 4309, 16, 17, 6, 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, 2233, 6, 3, 17684, 599, 382, 5411, 3624, 7, 61, 21680, 21662, 6157, 332, 536, 3, 15355, 3162, 10743, 6157, 332, 357, 9191, 332, 5411, 51, 4309, 3274, 332, 4416, 51, 4309, 350, 4630, 6880, 272, 476, 2233, 1, -100, ...
Name the nation with rank more than 9
CREATE TABLE table_69734 ( "Rank" real, "Nation" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT "Nation" FROM table_69734 WHERE "Rank" > '9'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3951, 4552, 591, 41, 96, 22557, 121, 490, 6, 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, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 567, 257, 121, 21680, 953, 834, 3951, 4552, 591, 549, 17444, 427, 96, 22557, 121, 2490, 3, 31, 1298, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Stacked bar chart of school_id for with each ACC_Home in each acc road, rank by the Y-axis in asc.
CREATE TABLE university ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text ) CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Per...
SELECT ACC_Road, School_ID FROM basketball_match GROUP BY ACC_Home, ACC_Road ORDER BY School_ID
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3819, 41, 1121, 834, 4309, 16, 17, 6, 1121, 1499, 6, 10450, 1499, 6, 3, 20100, 490, 6, 71, 89, 8027, 23, 257, 1499, 6, 695, 4046, 297, 490, 6, 7486, 4350, 1499, 6, 14542, 834, 28...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 14775, 834, 448, 32, 9, 26, 6, 1121, 834, 4309, 21680, 8498, 834, 19515, 350, 4630, 6880, 272, 476, 3, 14775, 834, 19040, 6, 3, 14775, 834, 448, 32, 9, 26, 4674, 11300, 272, 476, 1121, 834, 4309, 1, -100, -10...
What episode number had production code e4423?
CREATE TABLE table_16330 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" text, "U.S. viewers (millions)" text )
SELECT MAX("No. in season") FROM table_16330 WHERE "Production code" = 'E4423'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 17225, 41, 96, 4168, 5, 16, 939, 121, 490, 6, 96, 4168, 5, 16, 774, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 24965...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 121, 4168, 5, 16, 774, 8512, 21680, 953, 834, 2938, 17225, 549, 17444, 427, 96, 3174, 8291, 1081, 121, 3274, 3, 31, 427, 3628, 2773, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the population that has an area of 715.58?
CREATE TABLE table_171250_2 (population VARCHAR, area_km_2 VARCHAR)
SELECT population FROM table_171250_2 WHERE area_km_2 = "715.58"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2122, 1752, 834, 357, 41, 9791, 7830, 584, 4280, 28027, 6, 616, 834, 5848, 834, 357, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2074, 24, 65, 46...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2074, 21680, 953, 834, 2517, 2122, 1752, 834, 357, 549, 17444, 427, 616, 834, 5848, 834, 357, 3274, 96, 4450, 15938, 927, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Show the names and genders of players with a coach starting after 2011.
CREATE TABLE player (Player_name VARCHAR, gender VARCHAR, Player_ID VARCHAR); CREATE TABLE player_coach (Coach_ID VARCHAR, Player_ID VARCHAR, Starting_year INTEGER); CREATE TABLE coach (Coach_ID VARCHAR)
SELECT T3.Player_name, T3.gender FROM player_coach AS T1 JOIN coach AS T2 ON T1.Coach_ID = T2.Coach_ID JOIN player AS T3 ON T1.Player_ID = T3.Player_ID WHERE T1.Starting_year > 2011
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1959, 41, 15800, 49, 834, 4350, 584, 4280, 28027, 6, 7285, 584, 4280, 28027, 6, 12387, 834, 4309, 584, 4280, 28027, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 1959, 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, 332, 5787, 15800, 49, 834, 4350, 6, 332, 5787, 122, 3868, 21680, 1959, 834, 509, 1836, 6157, 332, 536, 3, 15355, 3162, 3763, 6157, 332, 357, 9191, 332, 5411, 3881, 1836, 834, 4309, 3274, 332, 4416, 3881, 1836, 834, ...
What different types are there with a CC License of by-nc-sa 2.5?
CREATE TABLE table_name_25 ( type VARCHAR, cc_license VARCHAR )
SELECT type FROM table_name_25 WHERE cc_license = "by-nc-sa 2.5"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 686, 584, 4280, 28027, 6, 3, 75, 75, 834, 28062, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 315, 1308, 33, 132, 28, 3, 9, 3, 2823, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 686, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 3, 75, 75, 834, 28062, 3274, 96, 969, 18, 29, 75, 18, 7, 9, 10603, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which network has model nForce Professional 3400 MCP?
CREATE TABLE table_name_29 (network VARCHAR, model VARCHAR)
SELECT network FROM table_name_29 WHERE model = "nforce professional 3400 mcp"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 1582, 1981, 584, 4280, 28027, 6, 825, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 1229, 65, 825, 3, 29, 3809, 565, 4751, 220, 5548, 283, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1229, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 825, 3274, 96, 29, 10880, 771, 220, 5548, 3, 51, 75, 102, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What year did player steve jones, who had a t60 finish, win?
CREATE TABLE table_name_53 (year_s__won VARCHAR, finish VARCHAR, player VARCHAR)
SELECT year_s__won FROM table_name_53 WHERE finish = "t60" AND player = "steve jones"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 1201, 834, 7, 834, 834, 210, 106, 584, 4280, 28027, 6, 1992, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 215, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 215, 834, 7, 834, 834, 210, 106, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 1992, 3274, 96, 17, 3328, 121, 3430, 1959, 3274, 96, 849, 162, 3, 1927, 1496, 121, 1, -100, -100, -100, -100, -100, -100, -100, -...
What is every website with specialization of engineering and division of dhaka division?
CREATE TABLE table_24161 ( "University" text, "Nick" text, "University status" real, "Founded" real, "Location" text, "Division" text, "Specialization" text, "Website" text )
SELECT "Website" FROM table_24161 WHERE "Specialization" = 'Engineering' AND "Division" = 'Dhaka division'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 2938, 536, 41, 96, 8313, 485, 121, 1499, 6, 96, 567, 3142, 121, 1499, 6, 96, 8313, 485, 2637, 121, 490, 6, 96, 20100, 121, 490, 6, 96, 434, 32, 75, 257, 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, 15805, 3585, 121, 21680, 953, 834, 2266, 2938, 536, 549, 17444, 427, 96, 7727, 23, 138, 1707, 121, 3274, 3, 31, 31477, 49, 53, 31, 3430, 96, 308, 23, 6610, 121, 3274, 3, 31, 308, 15416, 9, 4889, 31, 1, -100,...
What is the Score of the Shooter with a Comp of OG?
CREATE TABLE table_65945 ( "Score" text, "Shooter" text, "Date" text, "Comp" text, "Place" text )
SELECT "Score" FROM table_65945 WHERE "Comp" = 'og'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 948, 3390, 2128, 41, 96, 134, 9022, 121, 1499, 6, 96, 10499, 32, 32, 449, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 5890, 102, 121, 1499, 6, 96, 345, 11706, 121, 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, 96, 134, 9022, 121, 21680, 953, 834, 948, 3390, 2128, 549, 17444, 427, 96, 5890, 102, 121, 3274, 3, 31, 32, 122, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
what is the time/retired when the grid is 9?
CREATE TABLE table_55762 ( "Driver" text, "Constructor" text, "Laps" real, "Time/Retired" text, "Grid" real )
SELECT "Time/Retired" FROM table_55762 WHERE "Grid" = '9'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3769, 3959, 357, 41, 96, 20982, 52, 121, 1499, 6, 96, 4302, 7593, 127, 121, 1499, 6, 96, 3612, 102, 7, 121, 490, 6, 96, 13368, 87, 1649, 11809, 26, 121, 1499, 6, 96, 13...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 13368, 87, 1649, 11809, 26, 121, 21680, 953, 834, 3769, 3959, 357, 549, 17444, 427, 96, 13313, 26, 121, 3274, 3, 31, 1298, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which title had an audience of 4.629.000?
CREATE TABLE table_56318 ( "Episode" text, "Title" text, "Date of emission" text, "Audience" text, "Share" text )
SELECT "Title" FROM table_56318 WHERE "Audience" = '4.629.000'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4834, 519, 2606, 41, 96, 427, 102, 159, 32, 221, 121, 1499, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 308, 342, 13, 24578, 121, 1499, 6, 96, 188, 5291, 1433, 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, 382, 155, 109, 121, 21680, 953, 834, 4834, 519, 2606, 549, 17444, 427, 96, 188, 5291, 1433, 121, 3274, 3, 31, 25652, 3166, 5, 2313, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who drives a BMW Sauber with a Grid larger than 2 and a Time/Retired of +15.037?
CREATE TABLE table_name_37 (driver VARCHAR, time_retired VARCHAR, grid VARCHAR, constructor VARCHAR)
SELECT driver FROM table_name_37 WHERE grid > 2 AND constructor = "bmw sauber" AND time_retired = "+15.037"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 13739, 52, 584, 4280, 28027, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 6, 6774, 127, 584, 4280, 28027, 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, 2535, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 8634, 2490, 204, 3430, 6774, 127, 3274, 96, 29471, 24007, 121, 3430, 97, 834, 10682, 1271, 3274, 96, 18446, 20734, 4118, 121, 1, -100, -100, -100, -100, -100, -...
Championship larger than 3, and a FA Cup smaller than 3, and a Total smaller than 6 involves what highest league cup?
CREATE TABLE table_name_27 ( league_cup INTEGER, total VARCHAR, championship VARCHAR, fa_cup VARCHAR )
SELECT MAX(league_cup) FROM table_name_27 WHERE championship > 3 AND fa_cup < 3 AND total < 6
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 5533, 834, 4658, 3, 21342, 17966, 6, 792, 584, 4280, 28027, 6, 10183, 584, 4280, 28027, 6, 3, 89, 9, 834, 4658, 584, 4280, 28027, 3, 61, 3, 32102, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 29512, 834, 4658, 61, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 10183, 2490, 220, 3430, 3, 89, 9, 834, 4658, 3, 2, 220, 3430, 792, 3, 2, 431, 1, -100, -100, -100, -100, -100, -100, -100, -...
For those employees who do not work in departments with managers that have ids between 100 and 200, a line chart shows the change of manager_id over hire_date, display in asc by the X-axis please.
CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0...
SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY HIRE_DATE
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 613, 834, 10193, 10972, 41, 262, 5244, 5017, 476, 5080, 834, 4309, 7908, 1982, 599, 11071, 632, 201, 5097, 8241, 834, 308, 6048, 833, 6, 3, 14920, 834, 308, 6048, 833, 6, 446, 10539, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 283, 15610, 17966, 834, 4309, 21680, 1652, 549, 17444, 427, 4486, 3396, 19846, 11810, 834, 4309, 3388, 41, 23143, 14196, 3396, 19846, 11810, 834, 4309, 21680, 10521, 549, 17444, 427, 283, ...
how many patients of black/cape Verdean ethnicity are born before 1821?
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.dob_year < "1821"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7690, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 2118, 23, 26, 1499, 6, 5059, 715, 1499, 6, 5692, 1499, 6, 701, 834, 15129, 1499, 6, 3783, 1499, 6, 5798, 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, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 15, 189, 2532, 485, 3274, 96, 8775, 15339, 87, 16986, 427, 3, 16174, 308, 20152, 121, 3430, 14798,...
Which Attendance is the highest one that has a Record of 37-38?
CREATE TABLE table_name_45 ( attendance INTEGER, record VARCHAR )
SELECT MAX(attendance) FROM table_name_45 WHERE record = "37-38"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 11364, 3, 21342, 17966, 6, 1368, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 22497, 663, 19, 8, 2030, 80, 24, 65, 3, 9, 11392, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 1368, 3274, 96, 4118, 18, 3747, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
I want a bar chart to show the total cloud cover of the dates that have the 5 highest cloud cover rates each year.
CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pre...
SELECT date, SUM(cloud_cover) FROM weather
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1969, 41, 833, 3, 3463, 4, 382, 6, 9858, 834, 21010, 15, 834, 89, 3, 21342, 17966, 6, 1243, 834, 21010, 15, 834, 89, 3, 21342, 17966, 6, 3519, 834, 21010, 15, 834, 89, 3, 21342, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6, 180, 6122, 599, 23742, 834, 9817, 61, 21680, 1969, 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 was Lloyd Mangrum's Score?
CREATE TABLE table_68299 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )
SELECT "Score" FROM table_68299 WHERE "Player" = 'lloyd mangrum'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3651, 357, 3264, 41, 96, 345, 11706, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 3696, 260, 121, 1499, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 96, 134, 9022, 121, 21680, 953, 834, 3651, 357, 3264, 549, 17444, 427, 96, 15800, 49, 121, 3274, 3, 31, 195, 32, 63, 26, 388, 122, 2781, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the number of the episode titled 'Sugar Daddy'?
CREATE TABLE table_43424 ( "Episode number" real, "Title" text, "Original airing on Channel 4" text, "Time of airing on Channel 4" text, "Total viewers and Rank on C4" text, "Total viewers" text )
SELECT AVG("Episode number") FROM table_43424 WHERE "Title" = 'sugar daddy'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 3710, 2266, 41, 96, 427, 102, 159, 32, 221, 381, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 667, 3380, 10270, 799, 53, 30, 9916, 3, 20364, 1499, 6, 96, 1336...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 427, 102, 159, 32, 221, 381, 8512, 21680, 953, 834, 591, 3710, 2266, 549, 17444, 427, 96, 382, 155, 109, 121, 3274, 3, 31, 7, 76, 1478, 836, 8155, 31, 1, -100, -100, -100, -100, -100, -100, ...
What manufacturer won the race on November 2?
CREATE TABLE table_17801022_1 ( manufacturer VARCHAR, date VARCHAR )
SELECT manufacturer FROM table_17801022_1 WHERE date = "November 2"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2079, 1714, 2884, 834, 536, 41, 4818, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 4818, 751, 8, 1964, 30, 1671, 204, 58, 1,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4818, 21680, 953, 834, 2517, 2079, 1714, 2884, 834, 536, 549, 17444, 427, 833, 3274, 96, 28635, 204, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
On what date did the away team score 14.4 (88)?
CREATE TABLE table_52652 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT "Date" FROM table_52652 WHERE "Away team score" = '14.4 (88)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 5373, 4122, 357, 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, 308, 342, 121, 21680, 953, 834, 5373, 4122, 357, 549, 17444, 427, 96, 188, 1343, 372, 2604, 121, 3274, 3, 31, 536, 23444, 41, 4060, 61, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the attendance when their record stood at 0-2-2?
CREATE TABLE table_name_5 ( attendance INTEGER, record VARCHAR )
SELECT SUM(attendance) FROM table_name_5 WHERE record = "0-2-2"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 11364, 3, 21342, 17966, 6, 1368, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 11364, 116, 70, 1368, 8190, 44, 3, 9498, 22451, 58,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 1368, 3274, 96, 9498, 22451, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the result for william j. driver
CREATE TABLE table_18721 ( "District" text, "Incumbent" text, "Party" text, "First elected" real, "Result" text, "Candidates" text )
SELECT "Result" FROM table_18721 WHERE "Incumbent" = 'William J. Driver'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25828, 2658, 41, 96, 308, 23, 20066, 121, 1499, 6, 96, 1570, 75, 5937, 295, 121, 1499, 6, 96, 13725, 63, 121, 1499, 6, 96, 25171, 8160, 121, 490, 6, 96, 20119, 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, 20119, 121, 21680, 953, 834, 25828, 2658, 549, 17444, 427, 96, 1570, 75, 5937, 295, 121, 3274, 3, 31, 518, 1092, 23, 265, 446, 5, 10546, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the perfect of mass when the molecules is 1.74e14*?
CREATE TABLE table_71347 ( "Molecule" text, "Percent of Mass" text, "Mol.Weight (daltons)" text, "Molecules" text, "Percent of Molecules" text )
SELECT "Percent of Mass" FROM table_71347 WHERE "Molecules" = '1.74e14*'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4450, 519, 4177, 41, 96, 329, 32, 109, 1497, 15, 121, 1499, 6, 96, 12988, 3728, 13, 5770, 121, 1499, 6, 96, 329, 32, 40, 5, 1326, 2632, 41, 26, 138, 8057, 61, 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, 12988, 3728, 13, 5770, 121, 21680, 953, 834, 4450, 519, 4177, 549, 17444, 427, 96, 329, 32, 109, 1497, 15, 7, 121, 3274, 3, 31, 18596, 591, 15, 2534, 1935, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100...
Get me the number of patients who have a chemistry lab test category along with diagnoses icd9 code 2760.
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 diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) C...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "2760" AND lab."CATEGORY" = "Chemistry"
[ 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, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 3...
Name the language for kunar
CREATE TABLE table_20647 ( "Province" text, "Map #" real, "ISO 3166-2:AF" text, "Centers" text, "Population" real, "Area (km\u00b2)" real, "Language" text, "Notes" text, "U.N. Region" text )
SELECT "Language" FROM table_20647 WHERE "Province" = 'Kunar'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24643, 4177, 41, 96, 3174, 2494, 565, 121, 1499, 6, 96, 25760, 1713, 121, 490, 6, 96, 196, 6582, 3, 25946, 25369, 10, 6282, 121, 1499, 6, 96, 24382, 7, 121, 1499, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 434, 1468, 76, 545, 121, 21680, 953, 834, 24643, 4177, 549, 17444, 427, 96, 3174, 2494, 565, 121, 3274, 3, 31, 439, 202, 291, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the numbers of wines for different grapes Plot them as bar chart, show by the the total number in ascending.
CREATE TABLE grapes ( ID INTEGER, Grape TEXT, Color TEXT ) CREATE TABLE wine ( No INTEGER, Grape TEXT, Winery TEXT, Appelation TEXT, State TEXT, Name TEXT, Year INTEGER, Price INTEGER, Score INTEGER, Cases INTEGER, Drink TEXT ) CREATE TABLE appellations ( No...
SELECT Grape, COUNT(*) FROM wine GROUP BY Grape ORDER BY COUNT(*)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 11457, 7, 41, 4699, 3, 21342, 17966, 6, 29083, 3, 3463, 4, 382, 6, 6088, 3, 3463, 4, 382, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 2013, 41, 465, 3, 21342, 17966...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 29083, 6, 2847, 17161, 599, 1935, 61, 21680, 2013, 350, 4630, 6880, 272, 476, 29083, 4674, 11300, 272, 476, 2847, 17161, 599, 1935, 61, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the final score of the game against shingo kunieda maikel scheffers when robin ammerlaan was Ronald Vink's partner?
CREATE TABLE table_60164 ( "Year" real, "Championship" text, "Partnering" text, "Opponents in Final" text, "Score in Final" text )
SELECT "Score in Final" FROM table_60164 WHERE "Partnering" = 'robin ammerlaan' AND "Opponents in Final" = 'shingo kunieda maikel scheffers'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3328, 26987, 41, 96, 476, 2741, 121, 490, 6, 96, 254, 1483, 12364, 2009, 121, 1499, 6, 96, 13725, 687, 53, 121, 1499, 6, 96, 667, 102, 9977, 7, 16, 6514, 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, 16, 6514, 121, 21680, 953, 834, 3328, 26987, 549, 17444, 427, 96, 13725, 687, 53, 121, 3274, 3, 31, 5840, 77, 183, 935, 521, 152, 31, 3430, 96, 667, 102, 9977, 7, 16, 6514, 121, 3274, 3, 31, 9525,...
Find the id and location of circuits that belong to France or Belgium?
CREATE TABLE laptimes ( raceid number, driverid number, lap number, position number, time text, milliseconds number ) CREATE TABLE results ( resultid number, raceid number, driverid number, constructorid number, number number, grid number, position number, positi...
SELECT circuitid, location FROM circuits WHERE country = "France" OR country = "Belgium"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14941, 715, 7, 41, 1964, 23, 26, 381, 6, 1262, 4055, 381, 6, 14941, 381, 6, 1102, 381, 6, 97, 1499, 6, 3293, 23, 12091, 7, 381, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 33...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4558, 23, 26, 6, 1128, 21680, 4558, 7, 549, 17444, 427, 684, 3274, 96, 371, 5219, 121, 4674, 684, 3274, 96, 2703, 40, 122, 2552, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What engine type is used in a Space Shuttle Vacuum scenario?
CREATE TABLE table_15944_5 ( engine_type VARCHAR, scenario VARCHAR )
SELECT engine_type FROM table_15944_5 WHERE scenario = "Space shuttle vacuum"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27904, 3628, 834, 755, 41, 1948, 834, 6137, 584, 4280, 28027, 6, 8616, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 1948, 686, 19, 261, 16, 3, 9, 5844, 2809...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1948, 834, 6137, 21680, 953, 834, 27904, 3628, 834, 755, 549, 17444, 427, 8616, 3274, 96, 24722, 19317, 10019, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the average SP+FS for Denise Biellmann, and a Rank larger than 5?
CREATE TABLE table_57228 ( "Rank" real, "Name" text, "Nation" text, "SP+FS" real, "Points" real, "Places" text )
SELECT AVG("SP+FS") FROM table_57228 WHERE "Name" = 'denise biellmann' AND "Rank" > '5'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3436, 357, 2577, 41, 96, 22557, 121, 490, 6, 96, 23954, 121, 1499, 6, 96, 567, 257, 121, 1499, 6, 96, 4274, 1220, 7674, 121, 490, 6, 96, 22512, 7, 121, 490, 6, 96, 345,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 121, 4274, 1220, 7674, 8512, 21680, 953, 834, 3436, 357, 2577, 549, 17444, 427, 96, 23954, 121, 3274, 3, 31, 537, 159, 15, 3, 4232, 195, 2434, 31, 3430, 96, 22557, 121, 2490, 3, 31, 755, 31, 1, -...
What is the number of inpatient hospital admitted patients who have bladder cancer/sda as their primary disease?
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescriptions...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND demographic.diagnosis = "BLADDER CANCER/SDA"
[ 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, 549, 17444, 427, 14798, 5, 9, 26, 5451, 834, 14836, 3274, 96, 11359, 7369, 20805, 21680, 3, 6299, 4274, 87, 427, 4, 11359, ...
what is the four most frequently performed procedure for patients with age 60 or above in 2101?
CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid num...
SELECT t1.treatmentname FROM (SELECT treatment.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age >= 60) AND STRFTIME('%y', treatment.treatmenttime) = '2101' GROUP BY treatment.treatmentname...
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 23886, 41, 23886, 23, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 2672, 4350, 1499, 6, 23886, 4350, 1499, 6, 23886, 715, 97, 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, 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, ...
What is the name for Charleston County with a CERCLIS ID of scd980711279?
CREATE TABLE table_name_44 (name VARCHAR, county VARCHAR, cerclis_id VARCHAR)
SELECT name FROM table_name_44 WHERE county = "charleston" AND cerclis_id = "scd980711279"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 4350, 584, 4280, 28027, 6, 5435, 584, 4280, 28027, 6, 19259, 40, 159, 834, 23, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 564...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 564, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 5435, 3274, 96, 4059, 109, 4411, 121, 3430, 19259, 40, 159, 834, 23, 26, 3274, 96, 7, 75, 26, 3916, 4560, 2596, 357, 4440, 121, 1, -100, -100, -100, -100, -1...
how many patients whose diagnoses short title is insomnia nos and drug route is po/ng?
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Insomnia NOS" AND prescriptions.route = "PO/NG"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7690, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 2118, 23, 26, 1499, 6, 5059, 715, 1499, 6, 5692, 1499, 6, 701, 834, 15129, 1499, 6, 3783, 1499, 6, 5798, 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, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 3...
how many office admitted patients have aortic valve insufficiency/aortic valve replacement/sda primary disease?
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND demographic.diagnosis = "AORTIC VALVE INSUFFIENCY\AORTIC VALVE REPLACEMENT /SDA"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7690, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 2118, 23, 26, 1499, 6, 5059, 715, 1499, 6, 5692, 1499, 6, 701, 834, 15129, 1499, 6, 3783, 1499, 6, 5798, 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, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 9, 26, 5451, 834, 14836, 3274, 96, 254, 20931, 4666, 4083, 20805, 21415, 87, 5554, 20211, 25380, 1...
how many segments involve wood boring augers
CREATE TABLE table_15187735_17 ( segment_a VARCHAR, segment_d VARCHAR )
SELECT segment_a FROM table_15187735_17 WHERE segment_d = "Wood Boring Augers"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26578, 27697, 2469, 834, 2517, 41, 5508, 834, 9, 584, 4280, 28027, 6, 5508, 834, 26, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 149, 186, 15107, 7789, 1679, 1300...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5508, 834, 9, 21680, 953, 834, 26578, 27697, 2469, 834, 2517, 549, 17444, 427, 5508, 834, 26, 3274, 96, 518, 32, 32, 26, 7254, 53, 6128, 277, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Nationality has a Rank larger than 1, and a Time smaller than 22.12, and a Lane smaller than 4, and a Name of ashley callus?
CREATE TABLE table_name_99 ( nationality VARCHAR, name VARCHAR, lane VARCHAR, rank VARCHAR, time VARCHAR )
SELECT nationality FROM table_name_99 WHERE rank > 1 AND time < 22.12 AND lane < 4 AND name = "ashley callus"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 1157, 485, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 6, 3, 8102, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 3, 61, 3, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1157, 485, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 11003, 2490, 209, 3430, 97, 3, 2, 1630, 5, 2122, 3430, 3, 8102, 3, 2, 314, 3430, 564, 3274, 96, 3198, 1306, 580, 302, 121, 1, -100, -100, -100, -100, ...
What are the average fastest lap speed in races held after 2004 grouped by race name and ordered by year?
CREATE TABLE races ( name VARCHAR, year INTEGER, raceid VARCHAR ) CREATE TABLE results ( fastestlapspeed INTEGER, raceid VARCHAR )
SELECT AVG(T2.fastestlapspeed), T1.name, T1.year FROM races AS T1 JOIN results AS T2 ON T1.raceid = T2.raceid WHERE T1.year > 2014 GROUP BY T1.name ORDER BY T1.year
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 10879, 41, 564, 584, 4280, 28027, 6, 215, 3, 21342, 17966, 6, 1964, 23, 26, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 772, 41, 10391, 8478, 9993, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 382, 4416, 11584, 222, 8478, 9993, 201, 332, 5411, 4350, 6, 332, 5411, 1201, 21680, 10879, 6157, 332, 536, 3, 15355, 3162, 772, 6157, 332, 357, 9191, 332, 5411, 12614, 23, 26, 3274, 332, 4416, 12614, ...
what is the number of original airdate written by allan hawco?
CREATE TABLE table_74140 ( "#" real, "No." real, "Title" text, "Directed by" text, "Written by" text, "Viewers" real, "Original airdate" text, "Prod. code" real )
SELECT COUNT("Original airdate") FROM table_74140 WHERE "Written by" = 'Allan Hawco'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4581, 22012, 41, 96, 4663, 121, 490, 6, 96, 4168, 535, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 24965, 324, 57, 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, 2847, 17161, 599, 121, 667, 3380, 10270, 799, 5522, 8512, 21680, 953, 834, 4581, 22012, 549, 17444, 427, 96, 24965, 324, 57, 121, 3274, 3, 31, 6838, 152, 1626, 210, 509, 31, 1, -100, -100, -100, -100, -100, -100, -1...
How many students whose are playing the role of goalie?
CREATE TABLE tryout ( pPos VARCHAR )
SELECT COUNT(*) FROM tryout WHERE pPos = 'goalie'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 653, 670, 41, 3, 102, 345, 32, 7, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 481, 3, 2544, 33, 1556, 8, 1075, 13, 1288, 23, 15, 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, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 21680, 653, 670, 549, 17444, 427, 3, 102, 345, 32, 7, 3274, 3, 31, 839, 9, 1896, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many writers are listed when the U.S viewers are 11.21 million?
CREATE TABLE table_24910733_1 (written_by VARCHAR, us_viewers__millions_ VARCHAR)
SELECT COUNT(written_by) FROM table_24910733_1 WHERE us_viewers__millions_ = "11.21"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3647, 18057, 4201, 834, 536, 41, 14973, 834, 969, 584, 4280, 28027, 6, 178, 834, 4576, 277, 834, 834, 17030, 7, 834, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 14973, 834, 969, 61, 21680, 953, 834, 357, 3647, 18057, 4201, 834, 536, 549, 17444, 427, 178, 834, 4576, 277, 834, 834, 17030, 7, 834, 3274, 96, 10032, 2658, 121, 1, -100, -100, -100, -100, -100, -...
What is average number of students enrolled in Florida colleges?
CREATE TABLE tryout ( pid number, cname text, ppos text, decision text ) CREATE TABLE player ( pid number, pname text, ycard text, hs number ) CREATE TABLE college ( cname text, state text, enr number )
SELECT AVG(enr) FROM college WHERE state = 'FL'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 653, 670, 41, 3, 12417, 381, 6, 3, 75, 4350, 1499, 6, 3, 102, 2748, 1499, 6, 1357, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 1959, 41, 3, 12417, 381, 6, 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, 35, 52, 61, 21680, 1900, 549, 17444, 427, 538, 3274, 3, 31, 10765, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is days of hospital stay and discharge time of subject id 87275?
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 procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) ...
SELECT demographic.days_stay, demographic.dischtime FROM demographic WHERE demographic.subject_id = "87275"
[ 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, 14798, 5, 1135, 7, 834, 21545, 6, 14798, 5, 26, 2499, 715, 21680, 14798, 549, 17444, 427, 14798, 5, 7304, 11827, 834, 23, 26, 3274, 96, 4225, 25988, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many points have Goals for smaller than 33, and Draws larger than 9?
CREATE TABLE table_13166 ( "Position" real, "Club" text, "Played" real, "Points" real, "Wins" real, "Draws" real, "Losses" real, "Goals for" real, "Goals against" real, "Goal Difference" real )
SELECT SUM("Points") FROM table_13166 WHERE "Goals for" < '33' AND "Draws" > '9'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2368, 26811, 41, 96, 345, 32, 7, 4749, 121, 490, 6, 96, 254, 11158, 121, 1499, 6, 96, 15800, 15, 26, 121, 490, 6, 96, 22512, 7, 121, 490, 6, 96, 18455, 7, 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, 180, 6122, 599, 121, 22512, 7, 8512, 21680, 953, 834, 2368, 26811, 549, 17444, 427, 96, 6221, 5405, 21, 121, 3, 2, 3, 31, 4201, 31, 3430, 96, 308, 10936, 7, 121, 2490, 3, 31, 1298, 31, 1, -100, -100, -100, -100,...
Of the matches that had a home team score of 13.17 (95), which match had the largest crowd?
CREATE TABLE table_4805 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT MAX("Crowd") FROM table_4805 WHERE "Home team score" = '13.17 (95)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3707, 3076, 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, 35, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 254, 3623, 26, 8512, 21680, 953, 834, 3707, 3076, 549, 17444, 427, 96, 19040, 372, 2604, 121, 3274, 3, 31, 2368, 5, 2517, 41, 3301, 61, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
which area in ranked first in population in 2012 ?
CREATE TABLE table_203_642 ( id number, "name" text, "quadrant" text, "sector" text, "ward" text, "type" text, "2012\npopulation\nrank" number, "population\n(2012)" number, "population\n(2011)" number, "% change" number, "dwellings\n(2012)" number, "area\n(km2)" number, ...
SELECT "name" FROM table_203_642 WHERE "2012\npopulation\nrank" = 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 4389, 357, 41, 3, 23, 26, 381, 6, 96, 4350, 121, 1499, 6, 96, 4960, 26, 3569, 121, 1499, 6, 96, 7, 15, 5317, 121, 1499, 6, 96, 2239, 121, 1499, 6, 96, 613...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4350, 121, 21680, 953, 834, 23330, 834, 4389, 357, 549, 17444, 427, 96, 12172, 2, 29, 9791, 7830, 2, 29, 6254, 121, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
which was erbedija 's first festival/event where he was nominated but did n't win an award ?
CREATE TABLE table_203_191 ( id number, "year" number, "group" text, "award" text, "result" text, "notes" text )
SELECT "group" FROM table_203_191 WHERE "result" = 'nominated' ORDER BY "year" LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 2294, 536, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 10739, 121, 1499, 6, 96, 9, 2239, 121, 1499, 6, 96, 60, 7, 83, 17, 121, 1499, 6, 96, 7977, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 10739, 121, 21680, 953, 834, 23330, 834, 2294, 536, 549, 17444, 427, 96, 60, 7, 83, 17, 121, 3274, 3, 31, 3114, 77, 920, 31, 4674, 11300, 272, 476, 96, 1201, 121, 8729, 12604, 209, 1, -100, -100, -100, -100, ...
What date did the episode with a production code of 3x6316 originally air?
CREATE TABLE table_28116528_1 ( original_air_date VARCHAR, production_code VARCHAR )
SELECT original_air_date FROM table_28116528_1 WHERE production_code = "3X6316"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2596, 4122, 2577, 834, 536, 41, 926, 834, 2256, 834, 5522, 584, 4280, 28027, 6, 999, 834, 4978, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 833, 410, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 926, 834, 2256, 834, 5522, 21680, 953, 834, 2577, 2596, 4122, 2577, 834, 536, 549, 17444, 427, 999, 834, 4978, 3274, 96, 519, 4, 3891, 2938, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which round was played on 10 May?
CREATE TABLE table_name_91 (round VARCHAR, date VARCHAR)
SELECT round FROM table_name_91 WHERE date = "10 may"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 7775, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 1751, 47, 1944, 30, 335, 932, 58, 1, 0, 0, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1751, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 833, 3274, 96, 1714, 164, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is City / State, when Winner is 'Rohan Onslow', and when Circuit is 'Oran Park Raceway'?
CREATE TABLE table_58884 ( "Circuit" text, "City / State" text, "Date" text, "Winner" text, "Team" text )
SELECT "City / State" FROM table_58884 WHERE "Winner" = 'rohan onslow' AND "Circuit" = 'oran park raceway'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 10927, 591, 41, 96, 254, 23, 52, 21560, 121, 1499, 6, 96, 254, 485, 3, 87, 1015, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 18455, 687, 121, 1499, 6, 96, 18699,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 485, 3, 87, 1015, 121, 21680, 953, 834, 755, 10927, 591, 549, 17444, 427, 96, 18455, 687, 121, 3274, 3, 31, 52, 32, 2618, 30, 7, 3216, 31, 3430, 96, 254, 23, 52, 21560, 121, 3274, 3, 31, 127, 152, 244...
Which away team has a playoff record of (0-0) and played against Sioux City Bandits?
CREATE TABLE table_name_46 (away VARCHAR, plyff VARCHAR, opponent VARCHAR)
SELECT away FROM table_name_46 WHERE plyff = "(0-0)" AND opponent = "sioux city bandits"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 8006, 584, 4280, 28027, 6, 3, 102, 120, 89, 89, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 550, 372, 65, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 550, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 3, 102, 120, 89, 89, 3274, 96, 599, 18629, 61, 121, 3430, 15264, 3274, 96, 7, 23, 32, 3090, 690, 1928, 7085, 121, 1, -100, -100, -100, -100, -100, -100, -100...
Find the number of customers in total.
CREATE TABLE customers (Id VARCHAR)
SELECT COUNT(*) FROM customers
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 722, 41, 196, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2588, 8, 381, 13, 722, 16, 792, 5, 1, 0, 0, 0, 0, 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, 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, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 21680, 722, 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, -1...
In what season did Rusty Wallace win?
CREATE TABLE table_1769428_2 (season INTEGER, winning_driver VARCHAR)
SELECT MAX(season) FROM table_1769428_2 WHERE winning_driver = "Rusty Wallace"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26782, 4240, 2577, 834, 357, 41, 9476, 3, 21342, 17966, 6, 3447, 834, 13739, 52, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 86, 125, 774, 410, 2770, 7, 17, 63, 25...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 9476, 61, 21680, 953, 834, 26782, 4240, 2577, 834, 357, 549, 17444, 427, 3447, 834, 13739, 52, 3274, 96, 17137, 7, 17, 63, 25568, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Release date of 2008 q3, and a Part number(s) of nu80579ez009c has what Release price ( USD )?
CREATE TABLE table_name_3 (release_price___usd__ VARCHAR, release_date VARCHAR, part_number_s_ VARCHAR)
SELECT release_price___usd__ FROM table_name_3 WHERE release_date = "2008 q3" AND part_number_s_ = "nu80579ez009c"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 21019, 834, 102, 4920, 834, 834, 834, 302, 26, 834, 834, 584, 4280, 28027, 6, 1576, 834, 5522, 584, 4280, 28027, 6, 294, 834, 5525, 1152, 834, 7, 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, 1576, 834, 102, 4920, 834, 834, 834, 302, 26, 834, 834, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 1576, 834, 5522, 3274, 96, 16128, 3, 1824, 519, 121, 3430, 294, 834, 5525, 1152, 834, 7, 834, 3274, 96, 29,...
How many times did the team lose who had 1 of 37 points and less than 60 goals against?
CREATE TABLE table_62675 ( "Position" real, "Team" text, "Played" real, "Drawn" real, "Lost" real, "Goals For" real, "Goals Against" real, "Goal Difference" text, "Points 1" text )
SELECT MIN("Lost") FROM table_62675 WHERE "Points 1" = '37' AND "Goals Against" < '60'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 948, 2688, 3072, 41, 96, 345, 32, 7, 4749, 121, 490, 6, 96, 18699, 121, 1499, 6, 96, 15800, 15, 26, 121, 490, 6, 96, 308, 10936, 29, 121, 490, 6, 96, 434, 3481, 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, 3, 17684, 599, 121, 434, 3481, 8512, 21680, 953, 834, 948, 2688, 3072, 549, 17444, 427, 96, 22512, 7, 209, 121, 3274, 3, 31, 4118, 31, 3430, 96, 6221, 5405, 3, 20749, 121, 3, 2, 3, 31, 3328, 31, 1, -100, -100, ...
What is the area in km2 for Cape Agulhas, whose density is larger than 9.4 inhabitants/km2 and whose population in 2011 was less than 33,038?
CREATE TABLE table_name_28 ( area__km_2__ INTEGER, population__2011_ VARCHAR, density__inhabitants_km_2__ VARCHAR, name VARCHAR )
SELECT MAX(area__km_2__) FROM table_name_28 WHERE density__inhabitants_km_2__ > 9.4 AND name = "cape agulhas" AND population__2011_ < 33 OFFSET 038
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 616, 834, 834, 5848, 834, 357, 834, 834, 3, 21342, 17966, 6, 2074, 834, 834, 13907, 834, 584, 4280, 28027, 6, 11048, 834, 834, 77, 29884, 7, 834, 5848,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 498, 834, 834, 5848, 834, 357, 834, 834, 61, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 11048, 834, 834, 77, 29884, 7, 834, 5848, 834, 357, 834, 834, 2490, 5835, 591, 3430, 564, 3274, 96, 401...
Show sum of budget in different year and group by department creation time with a line chart, and rank from low to high by the X.
CREATE TABLE management ( department_ID int, head_ID int, temporary_acting text ) CREATE TABLE head ( head_ID int, name text, born_state text, age real ) CREATE TABLE department ( Department_ID int, Name text, Creation text, Ranking int, Budget_in_Billions real, Num...
SELECT Creation, SUM(Budget_in_Billions) FROM department GROUP BY Creation ORDER BY Creation
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 758, 41, 3066, 834, 4309, 16, 17, 6, 819, 834, 4309, 16, 17, 6, 7234, 834, 2708, 53, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 819, 41, 819, 834, 4309, 16, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 24589, 6, 180, 6122, 599, 279, 13164, 17, 834, 77, 834, 279, 14916, 7, 61, 21680, 3066, 350, 4630, 6880, 272, 476, 24589, 4674, 11300, 272, 476, 24589, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What home team had a record of 4-16-7?
CREATE TABLE table_11729 ( "Date" text, "Visitor" text, "Score" text, "Home" text, "Record" text )
SELECT "Home" FROM table_11729 WHERE "Record" = '4-16-7'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20275, 3166, 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, 0...
[ 3, 23143, 14196, 96, 19040, 121, 21680, 953, 834, 20275, 3166, 549, 17444, 427, 96, 1649, 7621, 121, 3274, 3, 31, 591, 10892, 6832, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the week number when a game was played on November 19, 1967?
CREATE TABLE table_48726 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" real )
SELECT MIN("Week") FROM table_48726 WHERE "Date" = 'november 19, 1967'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 4225, 2688, 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,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 518, 10266, 8512, 21680, 953, 834, 591, 4225, 2688, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 5326, 18247, 12370, 18148, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
From what catalog was the release that happened on April 12, 1968, and in LP format?
CREATE TABLE table_13856 ( "Date" text, "Label" text, "Format" text, "Country" text, "Catalog" text )
SELECT "Catalog" FROM table_13856 WHERE "Format" = 'lp' AND "Date" = 'april 12, 1968'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 22744, 4834, 41, 96, 308, 342, 121, 1499, 6, 96, 434, 10333, 121, 1499, 6, 96, 3809, 3357, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 18610, 9, 2152, 121, 1499, 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, 96, 18610, 9, 2152, 121, 21680, 953, 834, 22744, 4834, 549, 17444, 427, 96, 3809, 3357, 121, 3274, 3, 31, 40, 102, 31, 3430, 96, 308, 342, 121, 3274, 3, 31, 9, 2246, 40, 10440, 16506, 31, 1, -100, -100, -100, -1...
Draw a bar chart about the distribution of ACC_Road and the amount of ACC_Road , and group by attribute ACC_Road, and could you order how many acc road in ascending order?
CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Percent text, ACC_Home text, ACC_Road text, All_Games text, All_Games_Percent int, All_Home text, All_Road text, All_Neutral text ) CREATE TABLE university ( Scho...
SELECT ACC_Road, COUNT(ACC_Road) FROM basketball_match GROUP BY ACC_Road ORDER BY COUNT(ACC_Road)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 8498, 834, 19515, 41, 2271, 834, 4309, 16, 17, 6, 1121, 834, 4309, 16, 17, 6, 2271, 834, 23954, 1499, 6, 3, 14775, 834, 17748, 4885, 834, 134, 15, 9, 739, 1499, 6, 3, 14775, 834, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 14775, 834, 448, 32, 9, 26, 6, 2847, 17161, 599, 14775, 834, 448, 32, 9, 26, 61, 21680, 8498, 834, 19515, 350, 4630, 6880, 272, 476, 3, 14775, 834, 448, 32, 9, 26, 4674, 11300, 272, 476, 2847, 17161, 599, 147...
How man horse power did the ship covadonga have?
CREATE TABLE table_23614702_2 (horse__power VARCHAR, warship VARCHAR)
SELECT horse__power FROM table_23614702_2 WHERE warship = "Covadonga"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3420, 24719, 4305, 834, 357, 41, 107, 127, 7, 15, 834, 834, 6740, 584, 4280, 28027, 6, 615, 2009, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 388, 4952, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4952, 834, 834, 6740, 21680, 953, 834, 357, 3420, 24719, 4305, 834, 357, 549, 17444, 427, 615, 2009, 3274, 96, 254, 6194, 26, 2444, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What position does the Wales player who made more than 167 appearances, had more than 0 goals, and had a Leeds career from 1977 1982 play?
CREATE TABLE table_68372 ( "Nationality" text, "Position" text, "Leeds career" text, "Appearances" real, "Goals" real )
SELECT "Position" FROM table_68372 WHERE "Appearances" > '167' AND "Nationality" = 'wales' AND "Goals" > '0' AND "Leeds career" = '1977–1982'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3651, 4118, 357, 41, 96, 24732, 485, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 434, 6958, 7, 1415, 121, 1499, 6, 96, 9648, 2741, 663, 7, 121, 490, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3651, 4118, 357, 549, 17444, 427, 96, 9648, 2741, 663, 7, 121, 2490, 3, 31, 27650, 31, 3430, 96, 24732, 485, 121, 3274, 3, 31, 210, 4529, 31, 3430, 96, 6221, 5405, 121...
What was the country when the margin was 2 strokes, and when the score was 276 (-4)?
CREATE TABLE table_name_45 ( country VARCHAR, margin VARCHAR, score VARCHAR )
SELECT country FROM table_name_45 WHERE margin = "2 strokes" AND score = "276 (-4)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 684, 584, 4280, 28027, 6, 6346, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 684, 116, 8, 6346, 47, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 6346, 3274, 96, 357, 9529, 7, 121, 3430, 2604, 3274, 96, 357, 3959, 41, 18, 7256, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many total murders happened after 2011?
CREATE TABLE table_name_44 ( murder INTEGER, year INTEGER )
SELECT SUM(murder) FROM table_name_44 WHERE year > 2011
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 7738, 3, 21342, 17966, 6, 215, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 792, 7738, 7, 2817, 227, 2722, 58, 1, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 11054, 588, 61, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 215, 2490, 2722, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the home team that played in Victoria Park?
CREATE TABLE table_name_32 ( home_team VARCHAR, venue VARCHAR )
SELECT home_team FROM table_name_32 WHERE venue = "victoria park"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 234, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 234, 372, 24, 1944, 16, 7488, 1061, 58...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 5669, 3274, 96, 7287, 3600, 9, 2447, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who was the coach for episode 15?
CREATE TABLE table_73286 ( "Season" real, "Episode" real, "Episode Summary" text, "Premier date" text, "External Link" text, "Coach" text )
SELECT "Coach" FROM table_73286 WHERE "Episode" = '15'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4552, 357, 3840, 41, 96, 134, 15, 9, 739, 121, 490, 6, 96, 427, 102, 159, 32, 221, 121, 490, 6, 96, 427, 102, 159, 32, 221, 20698, 121, 1499, 6, 96, 10572, 51, 972, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 3881, 1836, 121, 21680, 953, 834, 4552, 357, 3840, 549, 17444, 427, 96, 427, 102, 159, 32, 221, 121, 3274, 3, 31, 1808, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In what year did a car have a yamaha v12 engine and a brabham bt60y chassis
CREATE TABLE table_name_70 (year VARCHAR, engine VARCHAR, chassis VARCHAR)
SELECT year FROM table_name_70 WHERE engine = "yamaha v12" AND chassis = "brabham bt60y"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 1201, 584, 4280, 28027, 6, 1948, 584, 4280, 28027, 6, 22836, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 86, 125, 215, 410, 3, 9, 443, 43, 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, 215, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 1948, 3274, 96, 22990, 1024, 3, 208, 2122, 121, 3430, 22836, 3274, 96, 1939, 115, 1483, 3, 115, 17, 3328, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100,...
What are the names of photos taken with the lens brand 'Sigma' or 'Olympus'?
CREATE TABLE camera_lens ( name VARCHAR, id VARCHAR, brand VARCHAR ) CREATE TABLE photos ( camera_lens_id VARCHAR )
SELECT T1.name FROM camera_lens AS T1 JOIN photos AS T2 ON T2.camera_lens_id = T1.id WHERE T1.brand = 'Sigma' OR T1.brand = 'Olympus'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1861, 834, 40, 35, 7, 41, 564, 584, 4280, 28027, 6, 3, 23, 26, 584, 4280, 28027, 6, 1056, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 1302, 41, 18...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 5411, 4350, 21680, 1861, 834, 40, 35, 7, 6157, 332, 536, 3, 15355, 3162, 1302, 6157, 332, 357, 9191, 332, 4416, 6527, 1498, 834, 40, 35, 7, 834, 23, 26, 3274, 332, 5411, 23, 26, 549, 17444, 427, 332, 5411, ...
Give me a scatter chart that groups all home, the x-axis is school id and the y-axis is all games percent.
CREATE TABLE university ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text ) CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Per...
SELECT School_ID, All_Games_Percent FROM basketball_match GROUP BY All_Home
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3819, 41, 1121, 834, 4309, 16, 17, 6, 1121, 1499, 6, 10450, 1499, 6, 3, 20100, 490, 6, 71, 89, 8027, 23, 257, 1499, 6, 695, 4046, 297, 490, 6, 7486, 4350, 1499, 6, 14542, 834, 28...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1121, 834, 4309, 6, 432, 834, 23055, 7, 834, 12988, 3728, 21680, 8498, 834, 19515, 350, 4630, 6880, 272, 476, 432, 834, 19040, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who is the pregame host when the pregame analysts is Dave Campbell and the year is 2001?
CREATE TABLE table_74386 ( "Year" real, "Network" text, "Play-by-play announcers" text, "s Color commentator" text, "Pregame hosts" text, "Pregame analysts" text )
SELECT "Pregame hosts" FROM table_74386 WHERE "Pregame analysts" = 'Dave Campbell' AND "Year" = '2001'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4581, 519, 3840, 41, 96, 476, 2741, 121, 490, 6, 96, 9688, 1981, 121, 1499, 6, 96, 15800, 18, 969, 18, 4895, 6456, 52, 7, 121, 1499, 6, 96, 7, 6088, 1670, 1016, 121, 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, 96, 10572, 7261, 9855, 121, 21680, 953, 834, 4581, 519, 3840, 549, 17444, 427, 96, 10572, 7261, 15639, 121, 3274, 3, 31, 308, 9, 162, 17034, 31, 3430, 96, 476, 2741, 121, 3274, 3, 31, 23658, 31, 1, -100, -100, -10...
which film won the most awards ?
CREATE TABLE table_204_948 ( id number, "year" number, "award" text, "category" text, "film" text, "result" text )
SELECT "film" FROM table_204_948 WHERE "result" = 'won' GROUP BY "film" ORDER BY COUNT(DISTINCT "award") DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 4240, 927, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 9, 2239, 121, 1499, 6, 96, 8367, 839, 651, 121, 1499, 6, 96, 9988, 121, 1499, 6, 96, 60, 7, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 9988, 121, 21680, 953, 834, 26363, 834, 4240, 927, 549, 17444, 427, 96, 60, 7, 83, 17, 121, 3274, 3, 31, 210, 106, 31, 350, 4630, 6880, 272, 476, 96, 9988, 121, 4674, 11300, 272, 476, 2847, 17161, 599, 15438, ...
What is the smallest number of wins for a top-25 value greater than 5 and more than 38 cuts?
CREATE TABLE table_name_52 ( wins INTEGER, top_25 VARCHAR, cuts_made VARCHAR )
SELECT MIN(wins) FROM table_name_52 WHERE top_25 > 5 AND cuts_made > 38
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 9204, 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, 19, 8, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 3, 17684, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 420, 834, 1828, 2490, 305, 3430, 8620, 834, 4725, 2490, 6654, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which player's nationality is from Sweden?
CREATE TABLE table_36989 ( "Round" real, "Player" text, "Position" text, "Nationality" text, "College/Junior/Club Team (League)" text )
SELECT "Player" FROM table_36989 WHERE "Nationality" = 'sweden'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 3951, 3914, 41, 96, 448, 32, 1106, 121, 490, 6, 96, 15800, 49, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 24732, 485, 121, 1499, 6, 96, 9939, 7883, 87, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15800, 49, 121, 21680, 953, 834, 519, 3951, 3914, 549, 17444, 427, 96, 24732, 485, 121, 3274, 3, 31, 7, 1123, 537, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
In which city is MUB located?
CREATE TABLE table_name_29 ( city VARCHAR, abbr VARCHAR )
SELECT city FROM table_name_29 WHERE abbr = "mub"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 690, 584, 4280, 28027, 6, 3, 12982, 52, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 86, 84, 690, 19, 283, 10134, 1069, 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, 690, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 3, 12982, 52, 3274, 96, 51, 76, 115, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of job_id and the sum of salary , and group by attribute job_id, and show by the JOB_ID in descending.
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 departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), ...
SELECT JOB_ID, SUM(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY JOB_ID DESC
[ 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, 446, 10539, 834, 4309, 6, 180, 6122, 599, 134, 4090, 24721, 61, 21680, 1652, 549, 17444, 427, 454, 14132, 834, 308, 6048, 3, 2, 3, 31, 24898, 18, 5176, 16539, 31, 350, 4630, 6880, 272, 476, 446, 10539, 834, 4309, ...
What was the score at the end of the match number 4?
CREATE TABLE table_22786 ( "Match no." real, "Match Type" text, "Team Europe" text, "Score" text, "Team USA" text, "Progressive Total" text )
SELECT "Score" FROM table_22786 WHERE "Match no." = '4'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 2555, 3840, 41, 96, 329, 14547, 150, 535, 490, 6, 96, 329, 14547, 6632, 121, 1499, 6, 96, 18699, 1740, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 18699, 2312, 12...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 357, 2555, 3840, 549, 17444, 427, 96, 329, 14547, 150, 535, 3274, 3, 31, 591, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the team when player is listed as Ronjay Buenafe?
CREATE TABLE table_28628309_8 ( team VARCHAR, player VARCHAR )
SELECT team FROM table_28628309_8 WHERE player = "Ronjay Buenafe"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 4591, 4198, 834, 927, 41, 372, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 372, 116, 1959, 19, 2616, 38, 1029...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 372, 21680, 953, 834, 2577, 4056, 4591, 4198, 834, 927, 549, 17444, 427, 1959, 3274, 96, 448, 106, 1191, 63, 4708, 35, 9, 89, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What's the total number of losses with less than 19 points and more than 36 games?
CREATE TABLE table_name_14 ( losses VARCHAR, points VARCHAR, games VARCHAR )
SELECT COUNT(losses) FROM table_name_14 WHERE points < 19 AND games > 36
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 8467, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 1031, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, 792, 381, 13, 8467, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 2298, 2260, 61, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 979, 3, 2, 957, 3430, 1031, 2490, 4475, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many numbers were recorde under 50s when there was 2 matches?
CREATE TABLE table_1477 ( "Player" text, "Team" text, "Matches" real, "Innings" real, "Runs" real, "Average" text, "Highest Score" text, "100s" real, "50s" real )
SELECT COUNT("50s") FROM table_1477 WHERE "Matches" = '2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2534, 4013, 41, 96, 15800, 49, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 329, 144, 2951, 121, 490, 6, 96, 196, 9416, 7, 121, 490, 6, 96, 448, 202, 7, 121, 490, 6, 96...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 1752, 7, 8512, 21680, 953, 834, 2534, 4013, 549, 17444, 427, 96, 329, 144, 2951, 121, 3274, 3, 31, 357, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the Population (2011) when the Population (2006) was less than 7083, and the Population density less than 342.8, and the Change (%) of 5, and an Area (km²) larger than 4.5?
CREATE TABLE table_name_2 (population__2011_ VARCHAR, area__km²_ VARCHAR, change___percentage_ VARCHAR, population__2006_ VARCHAR, population_density VARCHAR)
SELECT COUNT(population__2011_) FROM table_name_2 WHERE population__2006_ < 7083 AND population_density < 342.8 AND change___percentage_ = 5 AND area__km²_ > 4.5
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 9791, 7830, 834, 834, 13907, 834, 584, 4280, 28027, 6, 616, 834, 834, 5848, 357, 834, 584, 4280, 28027, 6, 483, 834, 834, 834, 883, 3728, 545, 834, 584,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 9791, 7830, 834, 834, 13907, 834, 61, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 2074, 834, 834, 21196, 834, 3, 2, 2861, 4591, 3430, 2074, 834, 537, 7, 485, 3, 2, 6154, 19419, 3430, 483, 8...
What is the total number of people that attended the glenferrie oval venue?
CREATE TABLE table_name_39 ( crowd INTEGER, venue VARCHAR )
SELECT SUM(crowd) FROM table_name_39 WHERE venue = "glenferrie oval"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 4374, 3, 21342, 17966, 6, 5669, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 792, 381, 13, 151, 24, 5526, 8, 3, 3537, 29, 1010...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 5669, 3274, 96, 3537, 29, 1010, 1753, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When and in what zip code did max temperature reach 80?
CREATE TABLE weather ( date VARCHAR, zip_code VARCHAR, max_temperature_f VARCHAR )
SELECT date, zip_code FROM weather WHERE max_temperature_f >= 80
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1969, 41, 833, 584, 4280, 28027, 6, 10658, 834, 4978, 584, 4280, 28027, 6, 9858, 834, 21010, 15, 834, 89, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 366, 11, 16, 125, 10...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 6, 10658, 834, 4978, 21680, 1969, 549, 17444, 427, 9858, 834, 21010, 15, 834, 89, 2490, 2423, 2775, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which yard has a Completion of 64.9%?
CREATE TABLE table_name_26 (yards VARCHAR, completion__percentage VARCHAR)
SELECT yards FROM table_name_26 WHERE completion__percentage = "64.9%"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 6636, 7, 584, 4280, 28027, 6, 6929, 834, 834, 883, 3728, 545, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 6178, 65, 3, 9, 4961, 109, 157...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6460, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 6929, 834, 834, 883, 3728, 545, 3274, 96, 4389, 5, 7561, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the value in 2009 when 1R is in 2007?
CREATE TABLE table_15063 ( "Tournament" text, "2007" text, "2008" text, "2009" text, "Career Win-Loss" text )
SELECT "2009" FROM table_15063 WHERE "2007" = '1r'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 12278, 3891, 41, 96, 382, 1211, 20205, 17, 121, 1499, 6, 96, 20615, 121, 1499, 6, 96, 16128, 121, 1499, 6, 96, 16660, 121, 1499, 6, 96, 6936, 15, 49, 4871, 18, 434, 32, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 16660, 121, 21680, 953, 834, 12278, 3891, 549, 17444, 427, 96, 20615, 121, 3274, 3, 31, 536, 52, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the starts for 2009
CREATE TABLE table_29380 ( "Season" real, "Series" text, "Team" text, "Starts" real, "Wins" real, "Podiums" real, "Poles" real, "Fastest Laps" real, "Points" text, "Place" text )
SELECT "Starts" FROM table_29380 WHERE "Season" = '2009'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3166, 22671, 41, 96, 134, 15, 9, 739, 121, 490, 6, 96, 12106, 7, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 7681, 17, 7, 121, 490, 6, 96, 18455, 7, 121, 490, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 7681, 17, 7, 121, 21680, 953, 834, 3166, 22671, 549, 17444, 427, 96, 134, 15, 9, 739, 121, 3274, 3, 31, 16660, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
what is the number of patients whose year of birth is less than 2117 and item id is 51176?
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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2117" AND lab.itemid = "51176"
[ 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, 3388, 18206, 3, 15355, 3162, 7690, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7690, 5, 8399, 51, 834, 23, 26, 549, 17444,...
Name the lowest Rank of carmelita jeter with a Time smaller than 11.08?
CREATE TABLE table_name_97 (rank INTEGER, name VARCHAR, time VARCHAR)
SELECT MIN(rank) FROM table_name_97 WHERE name = "carmelita jeter" AND time < 11.08
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 6254, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 7402, 3, 22557, 13, 443, 2341, 15...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 6254, 61, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 564, 3274, 96, 1720, 2341, 155, 9, 528, 449, 121, 3430, 97, 3, 2, 7806, 4018, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...