NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
What is the most amount of ministries?
CREATE TABLE table_21422977_1 (ministries INTEGER)
SELECT MAX(ministries) FROM table_21422977_1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2658, 4165, 3166, 4013, 834, 536, 41, 7619, 7, 9000, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 167, 866, 13, 29229, 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, 4800, 4, 599, 7619, 7, 9000, 61, 21680, 953, 834, 2658, 4165, 3166, 4013, 834, 536, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the Rank of the Rowers with FA as Notes?
CREATE TABLE table_name_29 (rank INTEGER, notes VARCHAR)
SELECT AVG(rank) FROM table_name_29 WHERE notes = "fa"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 6254, 3, 21342, 17966, 6, 3358, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 3, 22557, 13, 8, 11768, 277, 28, 8536, 38, 2507, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 6254, 61, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 3358, 3274, 96, 89, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
which lahn that exceeds 300 m also has a length that exceeds 10 km ?
CREATE TABLE table_201_46 ( id number, "name" text, "position" text, "length\n[km]" number, "drainage basin area\n[km2]" number, "confluence\n[by lahn-km]" number, "mouth elevation\n[m above msl]" number )
SELECT "name" FROM table_201_46 WHERE "mouth elevation\n[m above msl]" > 300 AND "length\n[km]" > 10
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 22772, 834, 4448, 41, 3, 23, 26, 381, 6, 96, 4350, 121, 1499, 6, 96, 4718, 121, 1499, 6, 96, 19457, 2, 29, 6306, 5848, 908, 121, 381, 6, 96, 26, 6559, 545, 21510, 616, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 22772, 834, 4448, 549, 17444, 427, 96, 11975, 16417, 2, 29, 6306, 51, 756, 3, 51, 7, 40, 908, 121, 2490, 3147, 3430, 96, 19457, 2, 29, 6306, 5848, 908, 121, 2490, 335, 1, -100, -1...
What is the lowest Rank with more than 0 bronze, 8 silver, and a total of 19, with less than 9 gold?
CREATE TABLE table_7028 ( "Rank" real, "Nation" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT MIN("Rank") FROM table_7028 WHERE "Bronze" > '0' AND "Silver" = '8' AND "Total" = '19' AND "Gold" < '9'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2518, 2577, 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, 3696, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 22557, 8512, 21680, 953, 834, 2518, 2577, 549, 17444, 427, 96, 22780, 29, 776, 121, 2490, 3, 31, 632, 31, 3430, 96, 134, 173, 624, 121, 3274, 3, 31, 927, 31, 3430, 96, 3696, 1947, 121, 3274, ...
how many times was the number under the money column more than 30,000 ?
CREATE TABLE table_204_126 ( id number, "place" text, "player" text, "country" text, "score" text, "to par" number, "money ($)" number )
SELECT COUNT(*) FROM table_204_126 WHERE "money ($)" > 30000
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 21976, 41, 3, 23, 26, 381, 6, 96, 4687, 121, 1499, 6, 96, 20846, 121, 1499, 6, 96, 17529, 121, 1499, 6, 96, 7, 9022, 121, 1499, 6, 96, 235, 260, 121, 381, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1935, 61, 21680, 953, 834, 26363, 834, 21976, 549, 17444, 427, 96, 28442, 8785, 61, 121, 2490, 604, 2313, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
WHO WAS THE COVER MODEL OF PLAYBOY WHERE THE CENTERFOLD MODEL WAS SHALLAN MEIERS?
CREATE TABLE table_20220 ( "Date" text, "Cover model" text, "Centerfold model" text, "Interview subject" text, "20 Questions" text, "Pictorials" text )
SELECT "Cover model" FROM table_20220 WHERE "Centerfold model" = 'Shallan Meiers'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 19818, 1755, 41, 96, 308, 342, 121, 1499, 6, 96, 254, 1890, 825, 121, 1499, 6, 96, 24382, 10533, 825, 121, 1499, 6, 96, 17555, 4576, 1426, 121, 1499, 6, 96, 1755, 14218, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1890, 825, 121, 21680, 953, 834, 19818, 1755, 549, 17444, 427, 96, 24382, 10533, 825, 121, 3274, 3, 31, 134, 11516, 152, 1212, 4518, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Show the musical nominee with award 'Bob Fosse' or 'Cleavant Derricks', and count them by a bar chart, I want to sort y axis in ascending order.
CREATE TABLE musical ( Musical_ID int, Name text, Year int, Award text, Category text, Nominee text, Result text ) CREATE TABLE actor ( Actor_ID int, Name text, Musical_ID int, Character text, Duration text, age int )
SELECT Nominee, COUNT(Nominee) FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks" GROUP BY Nominee ORDER BY COUNT(Nominee)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4183, 41, 22307, 834, 4309, 16, 17, 6, 5570, 1499, 6, 2929, 16, 17, 6, 3677, 1499, 6, 17459, 1499, 6, 465, 8695, 15, 1499, 6, 3, 20119, 1499, 3, 61, 3, 32102, 32103, 32102, 205, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 465, 8695, 15, 6, 2847, 17161, 599, 4168, 8695, 15, 61, 21680, 4183, 549, 17444, 427, 3677, 3274, 96, 382, 106, 63, 3677, 121, 4674, 3677, 3274, 96, 254, 109, 15990, 660, 5206, 7, 121, 350, 4630, 6880, 272, 476, 4...
When was series premiere on the pilot episode
CREATE TABLE table_15823956_1 (series VARCHAR)
SELECT series AS premiere FROM table_15823956_1 WHERE series = "Pilot"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1808, 4613, 3288, 4834, 834, 536, 41, 10833, 7, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 366, 47, 939, 13539, 30, 8, 4487, 5640, 1, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 939, 6157, 13539, 21680, 953, 834, 1808, 4613, 3288, 4834, 834, 536, 549, 17444, 427, 939, 3274, 96, 345, 23, 3171, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Score has a To par larger than 17, and a Player of mike brady?
CREATE TABLE table_name_7 (score VARCHAR, to_par VARCHAR, player VARCHAR)
SELECT score FROM table_name_7 WHERE to_par > 17 AND player = "mike brady"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 7, 9022, 584, 4280, 28027, 6, 12, 834, 1893, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 17763, 65, 3, 9, 304,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 12, 834, 1893, 2490, 1003, 3430, 1959, 3274, 96, 20068, 15, 3858, 26, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Tom Kite's Place?
CREATE TABLE table_name_78 (place VARCHAR, player VARCHAR)
SELECT place FROM table_name_78 WHERE player = "tom kite"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 4687, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 3059, 5747, 15, 31, 7, 3399, 58, 1, 0, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 286, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 1959, 3274, 96, 235, 51, 3650, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Show last names for all student who are on scholarship.
CREATE TABLE Sportsinfo ( StuID VARCHAR, onscholarship VARCHAR ) CREATE TABLE Student ( Lname VARCHAR, StuID VARCHAR )
SELECT T2.Lname FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.onscholarship = 'Y'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 5716, 9583, 41, 3, 13076, 4309, 584, 4280, 28027, 6, 30, 860, 17401, 2009, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 6341, 41, 301, 4350, 584, 4280,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4416, 434, 4350, 21680, 5716, 9583, 6157, 332, 536, 3, 15355, 3162, 6341, 6157, 332, 357, 9191, 332, 5411, 13076, 4309, 3274, 332, 4416, 13076, 4309, 549, 17444, 427, 332, 5411, 106, 860, 17401, 2009, 3274, 3, 31...
What is the maximum number in the series for the episode directed by Harvey S. Laidman?
CREATE TABLE table_228973_9 ( no_in_series INTEGER, directed_by VARCHAR )
SELECT MAX(no_in_series) FROM table_228973_9 WHERE directed_by = "Harvey S. Laidman"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2884, 3914, 4552, 834, 1298, 41, 150, 834, 77, 834, 10833, 7, 3, 21342, 17966, 6, 6640, 834, 969, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2411, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 29, 32, 834, 77, 834, 10833, 7, 61, 21680, 953, 834, 2884, 3914, 4552, 834, 1298, 549, 17444, 427, 6640, 834, 969, 3274, 96, 15537, 162, 63, 180, 5, 325, 23, 26, 348, 121, 1, -100, -100, -100, -100...
what is the venue when the event is 4x400 m relay and the competition is asian championships?
CREATE TABLE table_name_7 (venue VARCHAR, event VARCHAR, competition VARCHAR)
SELECT venue FROM table_name_7 WHERE event = "4x400 m relay" AND competition = "asian championships"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 15098, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 6, 2259, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 5669, 116, 8, 605, 19, 314,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5669, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 605, 3274, 96, 591, 226, 5548, 3, 51, 16010, 121, 3430, 2259, 3274, 96, 9, 10488, 10183, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many object dates does episode #16 have?
CREATE TABLE table_29635868_1 ( object_date VARCHAR, episode_number VARCHAR )
SELECT COUNT(object_date) FROM table_29635868_1 WHERE episode_number = 16
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3166, 3891, 3449, 3651, 834, 536, 41, 3735, 834, 5522, 584, 4280, 28027, 6, 5640, 834, 5525, 1152, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 3735, 512...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 30536, 834, 5522, 61, 21680, 953, 834, 3166, 3891, 3449, 3651, 834, 536, 549, 17444, 427, 5640, 834, 5525, 1152, 3274, 898, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In zip code 94107, on which day neither Fog nor Rain was not observed?
CREATE TABLE status ( station_id number, bikes_available number, docks_available number, time text ) CREATE TABLE station ( id number, name text, lat number, long number, dock_count number, city text, installation_date text ) CREATE TABLE trip ( id number, duration number, start_date text, start_station_name text, start_station_id number, end_date text, end_station_name text, end_station_id number, bike_id number, subscription_type text, zip_code number ) CREATE TABLE weather ( date text, max_temperature_f number, mean_temperature_f number, min_temperature_f number, max_dew_point_f number, mean_dew_point_f number, min_dew_point_f number, max_humidity number, mean_humidity number, min_humidity number, max_sea_level_pressure_inches number, mean_sea_level_pressure_inches number, min_sea_level_pressure_inches number, max_visibility_miles number, mean_visibility_miles number, min_visibility_miles number, max_wind_speed_mph number, mean_wind_speed_mph number, max_gust_speed_mph number, precipitation_inches number, cloud_cover number, events text, wind_dir_degrees number, zip_code number )
SELECT date FROM weather WHERE zip_code = 94107 AND events <> "Fog" AND events <> "Rain"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2637, 41, 2478, 834, 23, 26, 381, 6, 13490, 834, 28843, 381, 6, 12908, 7, 834, 28843, 381, 6, 97, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 2478, 41, 3, 23,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 833, 21680, 1969, 549, 17444, 427, 10658, 834, 4978, 3274, 3, 4240, 18057, 3430, 984, 3, 2, 3155, 96, 371, 32, 122, 121, 3430, 984, 3, 2, 3155, 96, 448, 9, 77, 121, 1, -100, -100, -100, -100, -100, -100, -100, -...
What engine was in the year of 1961?
CREATE TABLE table_79883 ( "Year" real, "Chassis" text, "Engine" text, "Tyres" text, "Points" text )
SELECT "Engine" FROM table_79883 WHERE "Year" = '1961'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4440, 4060, 519, 41, 96, 476, 2741, 121, 490, 6, 96, 3541, 6500, 7, 121, 1499, 6, 96, 31477, 121, 1499, 6, 96, 382, 63, 60, 7, 121, 1499, 6, 96, 22512, 7, 121, 1499, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 96, 31477, 121, 21680, 953, 834, 4440, 4060, 519, 549, 17444, 427, 96, 476, 2741, 121, 3274, 3, 31, 2294, 4241, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which system introduced earlier than 1981 has an internal hard disk of 11 megabytes and less than 21 s-100 slots?
CREATE TABLE table_name_47 (system VARCHAR, internal_hard_disk VARCHAR, s_100_slots VARCHAR, year_introduced VARCHAR)
SELECT system FROM table_name_47 WHERE s_100_slots < 21 AND year_introduced < 1981 AND internal_hard_disk = "11 megabytes"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 3734, 584, 4280, 28027, 6, 3224, 834, 5651, 834, 26, 13690, 584, 4280, 28027, 6, 3, 7, 834, 2915, 834, 7, 3171, 7, 584, 4280, 28027, 6, 215, 834, 203...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 358, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 3, 7, 834, 2915, 834, 7, 3171, 7, 3, 2, 1401, 3430, 215, 834, 20322, 32, 12160, 26, 3, 2, 15465, 3430, 3224, 834, 5651, 834, 26, 13690, 3274, 96, 2596, 139...
Which Against has a Position larger than 11?
CREATE TABLE table_name_32 (against VARCHAR, position INTEGER)
SELECT COUNT(against) FROM table_name_32 WHERE position > 11
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 9, 16720, 7, 17, 584, 4280, 28027, 6, 1102, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 4073, 3, 20749, 65, 3, 9, 14258, 2186, 145, 850, 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, 2847, 17161, 599, 9, 16720, 7, 17, 61, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 1102, 2490, 850, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who wrote the episodes that were viewed by 2.12 million viewers?
CREATE TABLE table_11111116_8 ( written_by VARCHAR, us_viewers__million_ VARCHAR )
SELECT written_by FROM table_11111116_8 WHERE us_viewers__million_ = "2.12"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 15866, 15866, 2938, 834, 927, 41, 1545, 834, 969, 584, 4280, 28027, 6, 178, 834, 4576, 277, 834, 834, 17030, 834, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1545, 834, 969, 21680, 953, 834, 15866, 15866, 2938, 834, 927, 549, 17444, 427, 178, 834, 4576, 277, 834, 834, 17030, 834, 3274, 96, 14489, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who won the gold in 1958?
CREATE TABLE table_49626 ( "Year" text, "Gold" text, "Silver" text, "Bronze" text, "Host city / cities" text, "Host country / countries" text )
SELECT "Gold" FROM table_49626 WHERE "Year" = '1958'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 4314, 2688, 41, 96, 476, 2741, 121, 1499, 6, 96, 23576, 121, 1499, 6, 96, 134, 173, 624, 121, 1499, 6, 96, 22780, 29, 776, 121, 1499, 6, 96, 566, 3481, 690, 3, 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, 23576, 121, 21680, 953, 834, 591, 4314, 2688, 549, 17444, 427, 96, 476, 2741, 121, 3274, 3, 31, 2294, 3449, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
count the number of inpatient hospital admission patients born before 2092.
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 text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear 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 diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND demographic.dob_year < "2092"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14798, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 564, 1499, 6, 2774, 1947, 834, 8547, 302, 1499, 6, 1246, 1499, 6, 103, 115, 1499, 6, 7285, 1499, 6, 1612, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 9, 26, 5451, 834, 14836, 3274, 96, 11421, 7016, 11951, 3162, 12689, 377, 5173, 3502, 15296, 121, 3...
What is the abbreviation for the University of Tartu?
CREATE TABLE table_name_43 ( abbr VARCHAR, name VARCHAR )
SELECT abbr FROM table_name_43 WHERE name = "university of tartu"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 3, 12982, 52, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 703, 1999, 2099, 257, 21, 8, 636, 13, 550...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 12982, 52, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 564, 3274, 96, 7846, 485, 13, 14981, 76, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, find hire_date and the sum of department_id bin hire_date by weekday, and visualize them by a bar chart, and could you rank in asc by the total number?
CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) 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 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) )
SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY SUM(DEPARTMENT_ID)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 10521, 41, 3396, 19846, 11810, 834, 4309, 7908, 1982, 599, 8525, 632, 201, 3396, 19846, 11810, 834, 567, 17683, 3, 4331, 4059, 599, 1458, 201, 283, 15610, 17966, 834, 4309, 7908, 1982, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 454, 14132, 834, 308, 6048, 6, 180, 6122, 599, 5596, 19846, 11810, 834, 4309, 61, 21680, 1652, 549, 17444, 427, 180, 4090, 24721, 272, 7969, 518, 23394, 3, 25129, 3430, 586, 2313, 3430, 3, 6657, 329, 16994, 9215, 834,...
count the number of patients whose ethnicity is hispanic/latino - puerto rican and days of hospital stay is greater than 15?
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 ) 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 text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear 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 procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND demographic.days_stay > "15"
[ 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, 549, 17444, 427, 14798, 5, 15, 189, 2532, 485, 3274, 96, 7094, 21215, 18830, 87, 434, 21580, 7400, 3, 18, 3, 10744, 3316, 5...
What is the average attendance that has june 24 as the date?
CREATE TABLE table_39166 ( "Date" text, "Opponent" text, "Score" text, "Loss" text, "Attendance" real, "Time" text, "Record" text )
SELECT AVG("Attendance") FROM table_39166 WHERE "Date" = 'june 24'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3288, 26811, 41, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 434, 32, 7, 7, 121, 1499, 6, 96, 188, 17, 324, 26, 663...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 188, 17, 324, 26, 663, 8512, 21680, 953, 834, 3288, 26811, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 6959, 15, 997, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which average match has a lost greater than 0, points greater than 6, legia warszawa as the team, and a draw less than 0?
CREATE TABLE table_name_55 ( match INTEGER, draw VARCHAR, team VARCHAR, lost VARCHAR, points VARCHAR )
SELECT AVG(match) FROM table_name_55 WHERE lost > 0 AND points > 6 AND team = "legia warszawa" AND draw < 0
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 1588, 3, 21342, 17966, 6, 3314, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 3, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 19515, 61, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 1513, 2490, 3, 632, 3430, 979, 2490, 431, 3430, 372, 3274, 96, 8492, 9, 615, 7, 172, 7396, 121, 3430, 3314, 3, 2, 3, 632, 1, -100, -1...
Name the date successor seated is south carolina 3rd
CREATE TABLE table_224837_4 ( date_successor_seated VARCHAR, district VARCHAR )
SELECT date_successor_seated FROM table_224837_4 WHERE district = "South Carolina 3rd"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2884, 3707, 4118, 834, 591, 41, 833, 834, 7, 17431, 24901, 834, 22933, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 833, 22261,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 834, 7, 17431, 24901, 834, 22933, 21680, 953, 834, 2884, 3707, 4118, 834, 591, 549, 17444, 427, 3939, 3274, 96, 22081, 5089, 220, 52, 26, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many numbers were listed under losing bonus when there were 68 tries for?
CREATE TABLE table_18084 ( "Club" text, "Played" text, "Won" text, "Drawn" text, "Lost" text, "Points for" text, "Points against" text, "Tries for" text, "Tries against" text, "Try bonus" text, "Losing bonus" text, "Points" text )
SELECT COUNT("Losing bonus") FROM table_18084 WHERE "Tries for" = '68'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20829, 4608, 41, 96, 254, 11158, 121, 1499, 6, 96, 15800, 15, 26, 121, 1499, 6, 96, 518, 106, 121, 1499, 6, 96, 308, 10936, 29, 121, 1499, 6, 96, 434, 3481, 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, 2847, 17161, 599, 121, 434, 32, 7, 53, 4023, 8512, 21680, 953, 834, 20829, 4608, 549, 17444, 427, 96, 382, 2593, 21, 121, 3274, 3, 31, 3651, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Get me the list of patients on an ou route of drug administration who had urgent hospital admission.
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 text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) 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 ( 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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.route = "OU"
[ 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, 7744, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7744, 7, 5, 8399, 51, 834, 23, 26, 549...
how many patients stayed in hospital for more than 2 days and used the drug albumin 5% (12.5g/250 ml)?
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 text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) 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 diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "2" AND prescriptions.drug = "Albumin 5% (12.5g / 250mL)"
[ 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, 7744, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7744, 7, 5, 8399, 51, 834, 23, 26, 549...
how many numbers did the new york knicks retire ?
CREATE TABLE table_203_348 ( id number, "number" number, "name" text, "team" text, "position" text, "years with franchise" text, "note" text )
SELECT COUNT(*) FROM table_203_348 WHERE "team" = 'new york knicks'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 519, 3707, 41, 3, 23, 26, 381, 6, 96, 5525, 1152, 121, 381, 6, 96, 4350, 121, 1499, 6, 96, 11650, 121, 1499, 6, 96, 4718, 121, 1499, 6, 96, 1201, 7, 28, 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, 2847, 17161, 599, 1935, 61, 21680, 953, 834, 23330, 834, 519, 3707, 549, 17444, 427, 96, 11650, 121, 3274, 3, 31, 5534, 25453, 3, 157, 11191, 7, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the finish for patani
CREATE TABLE table_21178 ( "Cycle no." text, "Air dates" text, "Reward" text, "Immunity" text, "Eliminated" text, "Vote" text, "Finish" text )
SELECT "Finish" FROM table_21178 WHERE "Eliminated" = 'Patani'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2658, 27640, 41, 96, 254, 63, 2482, 150, 535, 1499, 6, 96, 20162, 5128, 121, 1499, 6, 96, 1649, 2239, 121, 1499, 6, 96, 196, 635, 202, 485, 121, 1499, 6, 96, 427, 4941, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 371, 77, 1273, 121, 21680, 953, 834, 2658, 27640, 549, 17444, 427, 96, 427, 4941, 77, 920, 121, 3274, 3, 31, 345, 144, 2738, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Group Song, when Song is ?
CREATE TABLE table_name_80 ( Group VARCHAR, song VARCHAR )
SELECT Group AS song FROM table_name_80 WHERE song = "换季"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 1531, 584, 4280, 28027, 6, 2324, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 1531, 11263, 6, 116, 11263, 19, 3, 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, 1531, 6157, 2324, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 2324, 3274, 96, 2, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the lms number for serial number being 372
CREATE TABLE table_73196 ( "LMS No." real, "WD No." real, "Builder" text, "Serial No." real, "Date built" real )
SELECT "LMS No." FROM table_73196 WHERE "Serial No." = '372'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4552, 26937, 41, 96, 11160, 134, 465, 535, 490, 6, 96, 17698, 465, 535, 490, 6, 96, 24752, 49, 121, 1499, 6, 96, 134, 15, 12042, 465, 535, 490, 6, 96, 308, 342, 1192, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 11160, 134, 465, 535, 21680, 953, 834, 4552, 26937, 549, 17444, 427, 96, 134, 15, 12042, 465, 535, 3274, 3, 31, 4118, 357, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the titles for tko 11/12
CREATE TABLE table_24924576_2 ( titles VARCHAR, result VARCHAR )
SELECT titles FROM table_24924576_2 WHERE result = "TKO 11/12"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 4508, 2128, 3959, 834, 357, 41, 8342, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 8342, 21, 3, 17, 157, 32, 850, 18009,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8342, 21680, 953, 834, 2266, 4508, 2128, 3959, 834, 357, 549, 17444, 427, 741, 3274, 96, 382, 12725, 850, 18009, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What team 2 had a 1st leg of 1-1, and agg of 3-1?
CREATE TABLE table_69240 ( "Team 1" text, "Agg." text, "Team 2" text, "1st leg" text, "2nd leg" text )
SELECT "Team 2" FROM table_69240 WHERE "1st leg" = '1-1' AND "Agg." = '3-1'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3951, 11944, 41, 96, 18699, 209, 121, 1499, 6, 96, 188, 4102, 535, 1499, 6, 96, 18699, 204, 121, 1499, 6, 96, 536, 7, 17, 4553, 121, 1499, 6, 96, 357, 727, 4553, 121, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 18699, 204, 121, 21680, 953, 834, 3951, 11944, 549, 17444, 427, 96, 536, 7, 17, 4553, 121, 3274, 3, 31, 536, 2292, 31, 3430, 96, 188, 4102, 535, 3274, 3, 31, 519, 2292, 31, 1, -100, -100, -100, -100, -100, -...
Tell me the lowest interview for oklahoma and swimsuit less than 8.8
CREATE TABLE table_name_46 (interview INTEGER, state VARCHAR, swimsuit VARCHAR)
SELECT MIN(interview) FROM table_name_46 WHERE state = "oklahoma" AND swimsuit < 8.8
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 3870, 4576, 3, 21342, 17966, 6, 538, 584, 4280, 28027, 6, 9728, 7628, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 8779, 140, 8, 7402, 2772, 21, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 3870, 4576, 61, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 538, 3274, 96, 32, 8142, 10207, 9, 121, 3430, 9728, 7628, 3, 2, 4848, 927, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the age groups for the Big League World Series?
CREATE TABLE table_name_26 ( age_groups VARCHAR, competition_name VARCHAR )
SELECT age_groups FROM table_name_26 WHERE competition_name = "big league world series"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 1246, 834, 10739, 7, 584, 4280, 28027, 6, 2259, 834, 4350, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 8, 1246, 1637, 21, 8, 2734,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1246, 834, 10739, 7, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 2259, 834, 4350, 3274, 96, 12911, 5533, 296, 939, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who has a Date of Birth 1980-07-29?
CREATE TABLE table_58759 ( "Name" text, "Pos." text, "Height" text, "Weight" text, "Date of Birth" text, "Club" text )
SELECT "Name" FROM table_58759 WHERE "Date of Birth" = '1980-07-29'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 4225, 3390, 41, 96, 23954, 121, 1499, 6, 96, 345, 32, 7, 535, 1499, 6, 96, 3845, 2632, 121, 1499, 6, 96, 1326, 2632, 121, 1499, 6, 96, 308, 342, 13, 26337, 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, 23954, 121, 21680, 953, 834, 755, 4225, 3390, 549, 17444, 427, 96, 308, 342, 13, 26337, 121, 3274, 3, 31, 24151, 18629, 940, 18, 3166, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Return the average price of products that have each category code in a bar chart, sort in ascending by the names.
CREATE TABLE Customers ( customer_id INTEGER, customer_type_code VARCHAR(20), address_line_1 VARCHAR(80), address_line_2 VARCHAR(80), town_city VARCHAR(80), state VARCHAR(80), email_address VARCHAR(255), phone_number VARCHAR(80) ) CREATE TABLE Complaints ( complaint_id INTEGER, product_id INTEGER, customer_id INTEGER, complaint_outcome_code VARCHAR(20), complaint_status_code VARCHAR(20), complaint_type_code VARCHAR(20), date_complaint_raised DATETIME, date_complaint_closed DATETIME, staff_id INTEGER ) CREATE TABLE Staff ( staff_id INTEGER, gender VARCHAR(1), first_name VARCHAR(80), last_name VARCHAR(80), email_address VARCHAR(255), phone_number VARCHAR(80) ) CREATE TABLE Products ( product_id INTEGER, parent_product_id INTEGER, product_category_code VARCHAR(20), date_product_first_available DATETIME, date_product_discontinued DATETIME, product_name VARCHAR(80), product_description VARCHAR(255), product_price DECIMAL(19,4) )
SELECT product_category_code, AVG(product_price) FROM Products GROUP BY product_category_code ORDER BY product_category_code
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 16423, 41, 884, 834, 23, 26, 3, 21342, 17966, 6, 884, 834, 6137, 834, 4978, 584, 4280, 28027, 599, 1755, 201, 1115, 834, 747, 834, 536, 584, 4280, 28027, 599, 2079, 201, 1115, 834, 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, 556, 834, 8367, 839, 651, 834, 4978, 6, 71, 17217, 599, 15892, 834, 102, 4920, 61, 21680, 7554, 350, 4630, 6880, 272, 476, 556, 834, 8367, 839, 651, 834, 4978, 4674, 11300, 272, 476, 556, 834, 8367, 839, 651, 834, ...
What is the km2 area for the population of 311?
CREATE TABLE table_name_46 ( area__km_2__ INTEGER, population VARCHAR )
SELECT AVG(area__km_2__) FROM table_name_46 WHERE population = 311
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 616, 834, 834, 5848, 834, 357, 834, 834, 3, 21342, 17966, 6, 2074, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2280, 357, 616, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 498, 834, 834, 5848, 834, 357, 834, 834, 61, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 2074, 3274, 220, 2596, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
other than the s3300 , name one that has a 2.7 inch screen .
CREATE TABLE table_204_878 ( id number, "model" text, "release date" text, "sensor\nres., size" text, "lens (35 mm equiv.)\nzoom, aperture" text, "screen\nsize, pixels" text, "dimensions\nw (mm) \u00d7 h (mm) \u00d7 d (mm)" text, "weight" text, "features" text )
SELECT "model" FROM table_204_878 WHERE "model" <> 's3300' AND "screen\nsize, pixels" = 2.7
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 927, 3940, 41, 3, 23, 26, 381, 6, 96, 21770, 121, 1499, 6, 96, 21019, 833, 121, 1499, 6, 96, 26052, 2, 29, 60, 7, 5, 6, 812, 121, 1499, 6, 96, 40, 35, 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, 21770, 121, 21680, 953, 834, 26363, 834, 927, 3940, 549, 17444, 427, 96, 21770, 121, 3, 2, 3155, 3, 31, 7, 519, 5426, 31, 3430, 96, 8527, 2, 29, 7991, 6, 15386, 121, 3274, 3, 21280, 1, -100, -100, -100, -100...
Who had a 32-29-8 record at home?
CREATE TABLE table_51908 ( "Date" text, "Visitor" text, "Score" text, "Home" text, "Decision" text, "Attendance" real, "Record" text )
SELECT "Home" FROM table_51908 WHERE "Record" = '32-29-8'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 2294, 4018, 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, 2962, 18901, 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, 19040, 121, 21680, 953, 834, 755, 2294, 4018, 549, 17444, 427, 96, 1649, 7621, 121, 3274, 3, 31, 2668, 18, 3166, 6039, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the time from the song called Treat Me Nice?
CREATE TABLE table_name_29 (time VARCHAR, song_title VARCHAR)
SELECT time FROM table_name_29 WHERE song_title = "treat me nice"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 715, 584, 4280, 28027, 6, 2324, 834, 21869, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 97, 45, 8, 2324, 718, 16494, 1212, 8012, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 97, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 2324, 834, 21869, 3274, 96, 929, 144, 140, 1245, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
When t3 is the best finish what is the lowest amount of tournaments played?
CREATE TABLE table_24330912_1 (tournaments_played INTEGER, best_finish VARCHAR)
SELECT MIN(tournaments_played) FROM table_24330912_1 WHERE best_finish = "T3"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 17225, 4729, 357, 834, 536, 41, 17, 1211, 29, 9, 4128, 834, 4895, 15, 26, 3, 21342, 17966, 6, 200, 834, 25535, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 36...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 17, 1211, 29, 9, 4128, 834, 4895, 15, 26, 61, 21680, 953, 834, 2266, 17225, 4729, 357, 834, 536, 549, 17444, 427, 200, 834, 25535, 3274, 96, 382, 519, 121, 1, -100, -100, -100, -100, -100, -100, -10...
Which Surface has an Opponent in the final of don mcneill, and a Year of 1940?
CREATE TABLE table_name_52 (surface VARCHAR, opponent_in_the_final VARCHAR, year VARCHAR)
SELECT surface FROM table_name_52 WHERE opponent_in_the_final = "don mcneill" AND year = 1940
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 26899, 584, 4280, 28027, 6, 15264, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 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, 1774, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 15264, 834, 77, 834, 532, 834, 12406, 3274, 96, 2029, 3, 51, 75, 29, 15, 1092, 121, 3430, 215, 3274, 15830, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
Which opponent has a Score of 15.4.94?
CREATE TABLE table_67051 ( "Quarter" text, "Score" text, "Club" text, "Opponent" text, "Year" text, "Round" text, "Venue" text )
SELECT "Opponent" FROM table_67051 WHERE "Score" = '15.4.94'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3708, 3076, 536, 41, 96, 5991, 1408, 49, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 254, 11158, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 476, 2741, 121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 667, 102, 9977, 121, 21680, 953, 834, 3708, 3076, 536, 549, 17444, 427, 96, 134, 9022, 121, 3274, 3, 31, 1808, 5, 27336, 591, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score in Tie number 16?
CREATE TABLE table_name_16 ( score VARCHAR, tie_no VARCHAR )
SELECT score FROM table_name_16 WHERE tie_no = "16"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 2604, 584, 4280, 28027, 6, 6177, 834, 29, 32, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 2604, 16, 2262, 15, 381, 898, 58, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 6177, 834, 29, 32, 3274, 96, 2938, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what is the number of patients whose lab test chart time is 2124-07-01 03:07:00?
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 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 text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.charttime = "2124-07-01 03:07:00"
[ 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, 7690, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7690, 5, 8399, 51, 834, 23, 26, 549, 17444,...
On which Date was there a record of 11-8?
CREATE TABLE table_67751 ( "Date" text, "Opponent" text, "Score" text, "Loss" text, "Attendance" text, "Record" text )
SELECT "Date" FROM table_67751 WHERE "Record" = '11-8'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3708, 3072, 536, 41, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 434, 32, 7, 7, 121, 1499, 6, 96, 188, 17, 324, 26,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 308, 342, 121, 21680, 953, 834, 3708, 3072, 536, 549, 17444, 427, 96, 1649, 7621, 121, 3274, 3, 31, 2596, 6039, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What date shows Binia Feltscher-Beeli as the runner-up skip?
CREATE TABLE table_name_68 (date VARCHAR, runner_up_skip VARCHAR)
SELECT date FROM table_name_68 WHERE runner_up_skip = "binia feltscher-beeli"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 5522, 584, 4280, 28027, 6, 3, 10806, 834, 413, 834, 4009, 102, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 833, 1267, 7617, 23, 9, 3, 171...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 3, 10806, 834, 413, 834, 4009, 102, 3274, 96, 4517, 23, 9, 1800, 11575, 18, 346, 15, 40, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the original air date for the episode with production code 1wab06?
CREATE TABLE table_20726262_2 ( originalairdate VARCHAR, production_code VARCHAR )
SELECT originalairdate FROM table_20726262_2 WHERE production_code = "1WAB06"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26426, 2688, 2688, 357, 834, 357, 41, 926, 2256, 5522, 584, 4280, 28027, 6, 999, 834, 4978, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 926, 799, 83...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 926, 2256, 5522, 21680, 953, 834, 26426, 2688, 2688, 357, 834, 357, 549, 17444, 427, 999, 834, 4978, 3274, 96, 536, 518, 5359, 5176, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which Senior status has Appointed by of l. johnson category:articles with hcards, and Born/Died of 1918–2009?
CREATE TABLE table_name_7 (senior_status VARCHAR, appointed_by VARCHAR, born_died VARCHAR)
SELECT senior_status FROM table_name_7 WHERE appointed_by = "l. johnson category:articles with hcards" AND born_died = "1918–2009"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 7, 35, 23, 127, 834, 8547, 302, 584, 4280, 28027, 6, 7817, 834, 969, 584, 4280, 28027, 6, 2170, 834, 2498, 26, 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, 2991, 834, 8547, 302, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 7817, 834, 969, 3274, 96, 40, 5, 3, 27341, 739, 3295, 10, 8372, 7, 28, 3, 107, 6043, 7, 121, 3430, 2170, 834, 2498, 26, 3274, 96, 2294, 260...
A bar chart about what are the memories and carriers of phones?, list x axis in desc order.
CREATE TABLE phone_market ( Market_ID int, Phone_ID text, Num_of_stock int ) CREATE TABLE phone ( Name text, Phone_ID int, Memory_in_G int, Carrier text, Price real ) CREATE TABLE market ( Market_ID int, District text, Num_of_employees int, Num_of_shops real, Ranking int )
SELECT Carrier, AVG(Memory_in_G) FROM phone GROUP BY Carrier ORDER BY Carrier DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 951, 834, 8809, 41, 3611, 834, 4309, 16, 17, 6, 8924, 834, 4309, 1499, 6, 1174, 51, 834, 858, 834, 7149, 16, 17, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 951, 41...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1184, 6711, 6, 71, 17217, 599, 329, 15, 2528, 63, 834, 77, 834, 517, 61, 21680, 951, 350, 4630, 6880, 272, 476, 1184, 6711, 4674, 11300, 272, 476, 1184, 6711, 309, 25067, 1, -100, -100, -100, -100, -100, -100, -100,...
Who had the decision goal when the date was 1?
CREATE TABLE table_name_73 ( decision VARCHAR, date VARCHAR )
SELECT decision FROM table_name_73 WHERE date = 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 1357, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 141, 8, 1357, 1288, 116, 8, 833, 47, 209, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1357, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 833, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many Goals have Games smaller than 6, and a Debut year of 1939, and Years at club of 1939, 1941?
CREATE TABLE table_name_48 ( goals VARCHAR, years_at_club VARCHAR, games VARCHAR, debut_year VARCHAR )
SELECT COUNT(goals) FROM table_name_48 WHERE games < 6 AND debut_year = 1939 AND years_at_club = "1939, 1941"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 1766, 584, 4280, 28027, 6, 203, 834, 144, 834, 13442, 584, 4280, 28027, 6, 1031, 584, 4280, 28027, 6, 5695, 834, 1201, 584, 4280, 28027, 3, 61, 3, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 839, 5405, 61, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 1031, 3, 2, 431, 3430, 5695, 834, 1201, 3274, 957, 3288, 3430, 203, 834, 144, 834, 13442, 3274, 96, 2294, 3288, 6, 24822, 121, 1, ...
how many people are on the list ?
CREATE TABLE table_204_952 ( id number, "rank" number, "player" text, "county" text, "tally" text, "total" number, "opposition" text )
SELECT COUNT(DISTINCT "player") FROM table_204_952
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 3301, 357, 41, 3, 23, 26, 381, 6, 96, 6254, 121, 381, 6, 96, 20846, 121, 1499, 6, 96, 13362, 63, 121, 1499, 6, 96, 17, 1427, 121, 1499, 6, 96, 235, 1947, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 96, 20846, 8512, 21680, 953, 834, 26363, 834, 3301, 357, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What Surface was used on 2 June 2003?
CREATE TABLE table_name_94 (surface VARCHAR, date VARCHAR)
SELECT surface FROM table_name_94 WHERE date = "2 june 2003"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 26899, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 18884, 47, 261, 30, 204, 1515, 3888, 58, 1, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1774, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 833, 3274, 96, 357, 3, 6959, 15, 3888, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the pick # for the position de?
CREATE TABLE table_10812938_3 ( pick__number VARCHAR, position VARCHAR )
SELECT pick__number FROM table_10812938_3 WHERE position = "DE"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 16169, 22174, 3747, 834, 519, 41, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1432, 1713, 21, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1432, 834, 834, 5525, 1152, 21680, 953, 834, 16169, 22174, 3747, 834, 519, 549, 17444, 427, 1102, 3274, 96, 5596, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the least age for cibao central and santo domingo
CREATE TABLE table_21346767_3 ( age INTEGER, geographical_regions VARCHAR, hometown VARCHAR )
SELECT MIN(age) FROM table_21346767_3 WHERE geographical_regions = "Cibao Central" AND hometown = "Santo Domingo"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2658, 3710, 3708, 3708, 834, 519, 41, 1246, 3, 21342, 17966, 6, 20187, 834, 18145, 7, 584, 4280, 28027, 6, 22295, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 545, 61, 21680, 953, 834, 2658, 3710, 3708, 3708, 834, 519, 549, 17444, 427, 20187, 834, 18145, 7, 3274, 96, 254, 23, 115, 9, 32, 2808, 121, 3430, 22295, 3274, 96, 134, 288, 32, 10576, 53, 32, 121, ...
was there a administration of electrolytes performed on patient 013-33898 in their current hospital encounter?
CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text )
SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '013-33898' AND patient.hospitaldischargetime IS NULL)) AND treatment.treatmentname = 'administration of electrolytes'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1868, 41, 775, 12417, 1499, 6, 1868, 15878, 3734, 21545, 23, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 7285, 1499, 6, 1246, 1499, 6, 11655, 485, 1499, 6, 2833, 23, 26, 381, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 2490, 3, 632, 21680, 1058, 549, 17444, 427, 1058, 5, 10061, 15129, 21545, 23, 26, 3388, 41, 23143, 14196, 1868, 5, 10061, 15129, 21545, 23, 26, 21680, 1868, 549, 17444, 427, 1868, 5, 10061,...
Who is the champion of the title previously held by Lash?
CREATE TABLE table_name_4 ( champion_s_ VARCHAR, previous_champion_s_ VARCHAR )
SELECT champion_s_ FROM table_name_4 WHERE previous_champion_s_ = "lash"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 6336, 834, 7, 834, 584, 4280, 28027, 6, 1767, 834, 17788, 12364, 834, 7, 834, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 19, 8, 6336,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6336, 834, 7, 834, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 1767, 834, 17788, 12364, 834, 7, 834, 3274, 96, 8058, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the regulated retail price for the tariff code ff0 prs?
CREATE TABLE table_10408617_5 ( bts_retail_price__regulated_ VARCHAR, tariff_code VARCHAR )
SELECT bts_retail_price__regulated_ FROM table_10408617_5 WHERE tariff_code = "ff0 PRS"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1714, 2445, 3840, 2517, 834, 755, 41, 3, 115, 17, 7, 834, 60, 5756, 834, 102, 4920, 834, 834, 12990, 834, 584, 4280, 28027, 6, 20116, 834, 4978, 584, 4280, 28027, 3, 61, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 115, 17, 7, 834, 60, 5756, 834, 102, 4920, 834, 834, 12990, 834, 21680, 953, 834, 1714, 2445, 3840, 2517, 834, 755, 549, 17444, 427, 20116, 834, 4978, 3274, 96, 89, 89, 632, 6045, 134, 121, 1, -100, -100, -100,...
Which Qual 1 has a Qual 2 of 59.822?
CREATE TABLE table_65375 ( "Name" text, "Team" text, "Qual 1" text, "Qual 2" text, "Best" text )
SELECT "Qual 1" FROM table_65375 WHERE "Qual 2" = '59.822'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4122, 22954, 41, 96, 23954, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 5991, 138, 209, 121, 1499, 6, 96, 5991, 138, 204, 121, 1499, 6, 96, 17278, 121, 1499, 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, 96, 5991, 138, 209, 121, 21680, 953, 834, 4122, 22954, 549, 17444, 427, 96, 5991, 138, 204, 121, 3274, 3, 31, 3390, 5, 4613, 357, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the alternate title/translation of the series that premiered on December 12, 2006?
CREATE TABLE table_name_40 ( alternate_title_translation VARCHAR, series_premiere VARCHAR )
SELECT alternate_title_translation FROM table_name_40 WHERE series_premiere = "december 12, 2006"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 13902, 834, 21869, 834, 7031, 6105, 584, 4280, 28027, 6, 939, 834, 2026, 2720, 60, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 13902, 834, 21869, 834, 7031, 6105, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 939, 834, 2026, 2720, 60, 3274, 96, 221, 75, 18247, 10440, 3581, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the unemployment rate for 34024
CREATE TABLE table_25330 ( "County" text, "Population" real, "Unemployment Rate" text, "Market Income Per Capita" text, "Poverty Rate" text, "Status" text )
SELECT COUNT("Unemployment Rate") FROM table_25330 WHERE "Population" = '34024'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 17225, 41, 96, 10628, 63, 121, 1499, 6, 96, 27773, 7830, 121, 490, 6, 96, 5110, 29056, 13002, 121, 1499, 6, 96, 22572, 20110, 1915, 4000, 155, 9, 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, 2847, 17161, 599, 121, 5110, 29056, 13002, 8512, 21680, 953, 834, 1828, 17225, 549, 17444, 427, 96, 27773, 7830, 121, 3274, 3, 31, 21129, 2266, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many policies are listed for the customer named 'Dayana Robel'?
CREATE TABLE customers_policies ( customer_id VARCHAR ) CREATE TABLE customers ( customer_id VARCHAR, customer_name VARCHAR )
SELECT COUNT(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 722, 834, 3003, 6267, 7, 41, 884, 834, 23, 26, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 722, 41, 884, 834, 23, 26, 584, 4280, 28027, 6, 884, 83...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1935, 61, 21680, 722, 6157, 3, 17, 536, 3, 15355, 3162, 722, 834, 3003, 6267, 7, 6157, 3, 17, 357, 9191, 3, 17, 5411, 25697, 49, 834, 23, 26, 3274, 3, 17, 4416, 25697, 49, 834, 23, 26, 549, 1...
Who directed episode no. 44 in the series?
CREATE TABLE table_26106 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Prod. Code" text )
SELECT "Directed by" FROM table_26106 WHERE "No. in series" = '44'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 16431, 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, 96, 23620, 15, 26, 57, 121, 21680, 953, 834, 2688, 16431, 549, 17444, 427, 96, 4168, 5, 16, 939, 121, 3274, 3, 31, 3628, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which rank had a population of 7,069,000?
CREATE TABLE table_8794 ( "Rank" real, "City" text, "Population" real, "Country" text, "Area (km\u00b2)" real )
SELECT COUNT("Rank") FROM table_8794 WHERE "Population" = '7,069,000'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4225, 4240, 41, 96, 22557, 121, 490, 6, 96, 254, 485, 121, 1499, 6, 96, 27773, 7830, 121, 490, 6, 96, 10628, 651, 121, 1499, 6, 96, 188, 864, 41, 5848, 2, 76, 1206, 115...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 22557, 8512, 21680, 953, 834, 4225, 4240, 549, 17444, 427, 96, 27773, 7830, 121, 3274, 3, 31, 940, 6, 5176, 23938, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Find the parties associated with the delegates from district 1 or 2 Who served as comptrollers of the parties, and count them by a bar chart, sort in descending by the y-axis.
CREATE TABLE party ( Party_ID int, Year real, Party text, Governor text, Lieutenant_Governor text, Comptroller text, Attorney_General text, US_Senate text ) CREATE TABLE election ( Election_ID int, Counties_Represented text, District int, Delegate text, Party int, First_Elected real, Committee text ) CREATE TABLE county ( County_Id int, County_name text, Population real, Zip_code text )
SELECT Comptroller, COUNT(Comptroller) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1 OR T1.District = 2 GROUP BY Comptroller ORDER BY COUNT(Comptroller) DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1088, 41, 3450, 834, 4309, 16, 17, 6, 2929, 490, 6, 3450, 1499, 6, 10510, 1499, 6, 30943, 834, 27304, 127, 1499, 6, 4961, 17, 4046, 49, 1499, 6, 10154, 834, 20857, 1499, 6, 837, 83...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4961, 17, 4046, 49, 6, 2847, 17161, 599, 5890, 102, 17, 4046, 49, 61, 21680, 4356, 6157, 332, 536, 3, 15355, 3162, 1088, 6157, 332, 357, 9191, 332, 5411, 13725, 63, 3274, 332, 4416, 13725, 63, 834, 4309, 549, 17444,...
What is the score for Fitzroy when they are the home team?
CREATE TABLE table_name_53 ( home_team VARCHAR )
SELECT home_team AS score FROM table_name_53 WHERE home_team = "fitzroy"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 234, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2604, 21, 9783, 172, 8170, 116, 79, 33, 8, 234, 372, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 234, 834, 11650, 3274, 96, 89, 5615, 8170, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which home team has an Away of (2-1)?
CREATE TABLE table_name_17 ( home VARCHAR, away VARCHAR )
SELECT home FROM table_name_17 WHERE away = "(2-1)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 234, 584, 4280, 28027, 6, 550, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 234, 372, 65, 46, 71, 1343, 13, 41, 17234, 61, 58, 1, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 550, 3274, 96, 599, 17234, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What engine has an output of ps (kw; hp) @4700 rpm?
CREATE TABLE table_name_85 ( engine VARCHAR, output VARCHAR )
SELECT engine FROM table_name_85 WHERE output = "ps (kw; hp) @4700 rpm"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 1948, 584, 4280, 28027, 6, 3911, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 1948, 65, 46, 3911, 13, 3, 102, 7, 41, 157, 210, 117, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1948, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 3911, 3274, 96, 102, 7, 41, 157, 210, 117, 3, 107, 102, 61, 3320, 4177, 1206, 3, 52, 2028, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What number identifies Chris Gatling?
CREATE TABLE table_72685 ( "Player" text, "No." real, "Nationality" text, "Position" text, "Years in Orlando" text, "School/Club Team" text )
SELECT MAX("No.") FROM table_72685 WHERE "Player" = 'Chris Gatling'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 2688, 4433, 41, 96, 15800, 49, 121, 1499, 6, 96, 4168, 535, 490, 6, 96, 24732, 485, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 476, 2741, 7, 16, 14374, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8512, 21680, 953, 834, 940, 2688, 4433, 549, 17444, 427, 96, 15800, 49, 121, 3274, 3, 31, 3541, 52, 159, 2776, 17, 697, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
List the names and origins of people who are not body builders.
CREATE TABLE people ( people_id number, name text, height number, weight number, birth_date text, birth_place text ) CREATE TABLE body_builder ( body_builder_id number, people_id number, snatch number, clean_jerk number, total number )
SELECT name, birth_place FROM people EXCEPT SELECT T1.name, T1.birth_place FROM people AS T1 JOIN body_builder AS T2 ON T1.people_id = T2.people_id
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 151, 41, 151, 834, 23, 26, 381, 6, 564, 1499, 6, 3902, 381, 6, 1293, 381, 6, 3879, 834, 5522, 1499, 6, 3879, 834, 4687, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 564, 6, 3879, 834, 4687, 21680, 151, 262, 4, 30416, 3, 23143, 14196, 332, 5411, 4350, 6, 332, 5411, 20663, 834, 4687, 21680, 151, 6157, 332, 536, 3, 15355, 3162, 643, 834, 16422, 49, 6157, 332, 357, 9191, 332, 5411,...
how many times was andorra the opponent ?
CREATE TABLE table_204_282 ( id number, "date" text, "venue" text, "opponent" text, "score" text, "result" text, "competition" text, "#" number )
SELECT COUNT(*) FROM table_204_282 WHERE "opponent" = 'andorra'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 2577, 357, 41, 3, 23, 26, 381, 6, 96, 5522, 121, 1499, 6, 96, 15098, 121, 1499, 6, 96, 32, 102, 9977, 121, 1499, 6, 96, 7, 9022, 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, 2847, 17161, 599, 1935, 61, 21680, 953, 834, 26363, 834, 2577, 357, 549, 17444, 427, 96, 32, 102, 9977, 121, 3274, 3, 31, 232, 127, 52, 9, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is Year (Ceremony), when Director is 'Wang Siu-Di'?
CREATE TABLE table_name_66 ( year__ceremony_ VARCHAR, director VARCHAR )
SELECT year__ceremony_ FROM table_name_66 WHERE director = "wang siu-di"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 215, 834, 834, 2110, 15, 21208, 834, 584, 4280, 28027, 6, 2090, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 2929, 41, 254, 49, 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, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 215, 834, 834, 2110, 15, 21208, 834, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 2090, 3274, 96, 17789, 108, 76, 18, 26, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What's the location of the team Peter Stuyvesant International Racing?
CREATE TABLE table_name_65 ( city___state VARCHAR, team VARCHAR )
SELECT city___state FROM table_name_65 WHERE team = "peter stuyvesant international racing"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 690, 834, 834, 834, 5540, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, 1128, 13, 8, 372, 2737, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 690, 834, 834, 834, 5540, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 372, 3274, 96, 4995, 49, 21341, 63, 162, 7, 288, 1038, 8191, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What seasons in series 7 did David E. Kelley write ?
CREATE TABLE table_23279434_1 (season__number VARCHAR, written_by VARCHAR, series__number VARCHAR)
SELECT COUNT(season__number) FROM table_23279434_1 WHERE written_by = "David E. Kelley" AND series__number = 7
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 2555, 4240, 3710, 834, 536, 41, 9476, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 1545, 834, 969, 584, 4280, 28027, 6, 939, 834, 834, 5525, 1152, 584, 4280, 28027, 61, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 9476, 834, 834, 5525, 1152, 61, 21680, 953, 834, 2773, 2555, 4240, 3710, 834, 536, 549, 17444, 427, 1545, 834, 969, 3274, 96, 308, 9, 6961, 262, 5, 13329, 1306, 121, 3430, 939, 834, 834, 5525, 1152...
provide the number of patients whose admission type is urgent and diagnoses short title is hyperacusis?
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id 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 text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "URGENT" AND diagnoses.short_title = "Hyperacusis"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 18730, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 5...
Return a bar chart about the distribution of ACC_Road and the amount of ACC_Road , and group by attribute ACC_Road, sort Y in asc order.
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_Percent text, ACC_Home text, ACC_Road text, All_Games text, All_Games_Percent int, All_Home text, All_Road text, All_Neutral text )
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, 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, 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...
WHich Position is from russia?
CREATE TABLE table_name_39 ( position VARCHAR, nationality VARCHAR )
SELECT position FROM table_name_39 WHERE nationality = "russia"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 1102, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 3, 15313, 362, 14258, 19, 45, 3, 26165, 58, 1, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1102, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 1157, 485, 3274, 96, 26165, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was Stacy Lewis' place?
CREATE TABLE table_61188 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )
SELECT "Place" FROM table_61188 WHERE "Player" = 'stacy lewis'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4241, 25794, 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, 61, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 96, 345, 11706, 121, 21680, 953, 834, 4241, 25794, 549, 17444, 427, 96, 15800, 49, 121, 3274, 3, 31, 7, 17, 4710, 90, 210, 159, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
count the number of patients whose discharge location is rehab/distinct part hosp and procedure long title is insertion of drug-eluting coronary artery stent(s)?
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 text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) 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 procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "REHAB/DISTINCT PART HOSP" AND procedures.long_title = "Insertion of drug-eluting coronary artery stent(s)"
[ 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, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
Which event did he win with a method of submission (triangle choke) and a time of n/a?
CREATE TABLE table_name_25 ( event VARCHAR, method VARCHAR, res VARCHAR, time VARCHAR )
SELECT event FROM table_name_25 WHERE res = "win" AND time = "n/a" AND method = "submission (triangle choke)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 605, 584, 4280, 28027, 6, 1573, 584, 4280, 28027, 6, 3, 60, 7, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 605, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 3, 60, 7, 3274, 96, 3757, 121, 3430, 97, 3274, 96, 29, 87, 9, 121, 3430, 1573, 3274, 96, 7304, 5451, 41, 1788, 13247, 29787, 61, 121, 1, -100, -100, -100, ...
A bar chart for finding the number of the the date of enrollment of the 'Spanish' course, I want to show by the Y-axis from low to high.
CREATE TABLE Students ( student_id INTEGER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR(40), password VARCHAR(10), personal_name VARCHAR(40), middle_name VARCHAR(40), family_name VARCHAR(40) ) CREATE TABLE Courses ( course_id INTEGER, author_id INTEGER, subject_id INTEGER, course_name VARCHAR(120), course_description VARCHAR(255) ) CREATE TABLE Subjects ( subject_id INTEGER, subject_name VARCHAR(120) ) CREATE TABLE Course_Authors_and_Tutors ( author_id INTEGER, author_tutor_ATB VARCHAR(3), login_name VARCHAR(40), password VARCHAR(40), personal_name VARCHAR(80), middle_name VARCHAR(80), family_name VARCHAR(80), gender_mf VARCHAR(1), address_line_1 VARCHAR(80) ) CREATE TABLE Student_Course_Enrolment ( registration_id INTEGER, student_id INTEGER, course_id INTEGER, date_of_enrolment DATETIME, date_of_completion DATETIME ) CREATE TABLE Student_Tests_Taken ( registration_id INTEGER, date_test_taken DATETIME, test_result VARCHAR(255) )
SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Courses AS T1 JOIN Student_Course_Enrolment AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "Spanish" ORDER BY COUNT(date_of_enrolment)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4375, 41, 1236, 834, 23, 26, 3, 21342, 17966, 6, 833, 834, 858, 834, 5200, 257, 309, 6048, 382, 15382, 6, 833, 834, 858, 834, 521, 4377, 834, 2152, 106, 309, 6048, 382, 15382, 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, 1...
[ 3, 23143, 14196, 833, 834, 858, 834, 35, 3491, 297, 6, 2847, 17161, 599, 5522, 834, 858, 834, 35, 3491, 297, 61, 21680, 8670, 7, 6157, 332, 536, 3, 15355, 3162, 6341, 834, 3881, 3589, 15, 834, 8532, 3491, 297, 6157, 332, 357, 9191...
League apps (sub) maximum?
CREATE TABLE table_1112176_1 ( league_apps__sub_ INTEGER )
SELECT MAX(league_apps__sub_) FROM table_1112176_1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 15866, 2658, 3959, 834, 536, 41, 5533, 834, 3096, 7, 834, 834, 7304, 834, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 3815, 4050, 41, 7304, 61, 2411, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 29512, 834, 3096, 7, 834, 834, 7304, 834, 61, 21680, 953, 834, 15866, 2658, 3959, 834, 536, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
give me the number of patients whose days of hospital stay is greater than 7 and diagnoses short title is choledochlith nos w obst?
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 ( 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 ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) 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 text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "7" AND diagnoses.short_title = "Choledochlith NOS w obst"
[ 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, 5...
Name the singer for bruce forsyth
CREATE TABLE table_30946 ( "Episode" real, "Broadcast date" text, "Guest(s)" text, "Singer(s)" text, "Comedian" text, "Ratings" text )
SELECT "Singer(s)" FROM table_30946 WHERE "Guest(s)" = 'Bruce Forsyth'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1458, 4240, 948, 41, 96, 427, 102, 159, 32, 221, 121, 490, 6, 96, 279, 8635, 5254, 833, 121, 1499, 6, 96, 9105, 222, 599, 7, 61, 121, 1499, 6, 96, 134, 9963, 599, 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, 134, 9963, 599, 7, 61, 121, 21680, 953, 834, 1458, 4240, 948, 549, 17444, 427, 96, 9105, 222, 599, 7, 61, 121, 3274, 3, 31, 9465, 565, 242, 7, 63, 189, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
who is the person that is part of the belgian vw club that works with fr d ric miclotte
CREATE TABLE table_28046929_2 ( driver VARCHAR, entrant VARCHAR, co_driver VARCHAR )
SELECT driver FROM table_28046929_2 WHERE entrant = "Belgian VW Club" AND co_driver = "Frédéric Miclotte"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 17518, 591, 3951, 3166, 834, 357, 41, 2535, 584, 4280, 28027, 6, 3, 295, 3569, 584, 4280, 28027, 6, 576, 834, 13739, 52, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 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, 2535, 21680, 953, 834, 17518, 591, 3951, 3166, 834, 357, 549, 17444, 427, 3, 295, 3569, 3274, 96, 2703, 40, 22898, 22729, 1949, 121, 3430, 576, 834, 13739, 52, 3274, 96, 371, 2339, 3764, 2234, 18000, 21538, 121, 1, ...
What is the result on Saturday that's রবিবার robibar on Sunday
CREATE TABLE table_name_14 (saturday_shani__saturn_ VARCHAR, sunday_surya__the_sun_ VARCHAR)
SELECT saturday_shani__saturn_ FROM table_name_14 WHERE sunday_surya__the_sun_ = "রবিবার robibar"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 7, 6010, 1135, 834, 7, 2618, 23, 834, 834, 7, 9, 7535, 834, 584, 4280, 28027, 6, 1997, 1135, 834, 3042, 63, 9, 834, 834, 532, 834, 7, 202, 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, 3, 7, 6010, 1135, 834, 7, 2618, 23, 834, 834, 7, 9, 7535, 834, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 1997, 1135, 834, 3042, 63, 9, 834, 834, 532, 834, 7, 202, 834, 3274, 96, 2, 3, 5840, 23, 1047, ...
What is the name of the airport in S o Filipe that has an IATA of sfl?
CREATE TABLE table_name_3 ( airportname VARCHAR, city___town VARCHAR, iata VARCHAR )
SELECT airportname FROM table_name_3 WHERE city___town = "são filipe" AND iata = "sfl"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 3761, 4350, 584, 4280, 28027, 6, 690, 834, 834, 834, 3540, 584, 4280, 28027, 6, 3, 17221, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3761, 4350, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 690, 834, 834, 834, 3540, 3274, 96, 7, 2, 32, 361, 7446, 15, 121, 3430, 3, 17221, 3274, 96, 7, 89, 40, 121, 1, -100, -100, -100, -100, -100, -100, -1...
Show the proportion of the number of customers for each payment method code in a bar chart.
CREATE TABLE Customers ( customer_id INTEGER, payment_method_code VARCHAR(15), customer_number VARCHAR(20), customer_name VARCHAR(80), customer_address VARCHAR(255), customer_phone VARCHAR(80), customer_email VARCHAR(80) ) CREATE TABLE Products ( product_id INTEGER, product_type_code VARCHAR(15), product_name VARCHAR(80), product_price DOUBLE ) CREATE TABLE Customer_Address_History ( customer_id INTEGER, address_id INTEGER, date_from DATETIME, date_to DATETIME ) CREATE TABLE Contacts ( contact_id INTEGER, customer_id INTEGER, gender VARCHAR(1), first_name VARCHAR(80), last_name VARCHAR(50), contact_phone VARCHAR(80) ) CREATE TABLE Customer_Orders ( order_id INTEGER, customer_id INTEGER, order_date DATETIME, order_status_code VARCHAR(15) ) CREATE TABLE Order_Items ( order_item_id INTEGER, order_id INTEGER, product_id INTEGER, order_quantity VARCHAR(80) ) CREATE TABLE Addresses ( address_id INTEGER, line_1_number_building VARCHAR(80), city VARCHAR(50), zip_postcode VARCHAR(20), state_province_county VARCHAR(50), country VARCHAR(50) )
SELECT payment_method_code, COUNT(payment_method_code) FROM Customers GROUP BY payment_method_code ORDER BY customer_number DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 16423, 41, 884, 834, 23, 26, 3, 21342, 17966, 6, 1942, 834, 23152, 834, 4978, 584, 4280, 28027, 599, 1808, 201, 884, 834, 5525, 1152, 584, 4280, 28027, 599, 1755, 201, 884, 834, 4350, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1942, 834, 23152, 834, 4978, 6, 2847, 17161, 599, 21752, 834, 23152, 834, 4978, 61, 21680, 16423, 350, 4630, 6880, 272, 476, 1942, 834, 23152, 834, 4978, 4674, 11300, 272, 476, 884, 834, 5525, 1152, 309, 25067, 1, -10...
Which GP-GS had a long of 17 and a season of total?
CREATE TABLE table_name_13 (gp_gs VARCHAR, long VARCHAR, season VARCHAR)
SELECT gp_gs FROM table_name_13 WHERE long = "17" AND season = "total"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 122, 102, 834, 122, 7, 584, 4280, 28027, 6, 307, 584, 4280, 28027, 6, 774, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 3, 8049, 18, 8256...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 122, 102, 834, 122, 7, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 307, 3274, 96, 2517, 121, 3430, 774, 3274, 96, 235, 1947, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In what Country is Haugesund?
CREATE TABLE table_78938 ( "City" text, "Country" text, "Airport" text, "IATA" text, "ICAO" text )
SELECT "Country" FROM table_78938 WHERE "City" = 'haugesund'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 3914, 3747, 41, 96, 254, 485, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 20162, 1493, 121, 1499, 6, 96, 196, 19282, 121, 1499, 6, 96, 15038, 667, 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, 0, 0, 0, 0...
[ 3, 23143, 14196, 96, 10628, 651, 121, 21680, 953, 834, 940, 3914, 3747, 549, 17444, 427, 96, 254, 485, 121, 3274, 3, 31, 1024, 12972, 7, 1106, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the number of laps of the grid larger than 22 with a +1:29.001 time?
CREATE TABLE table_9817 ( "Rider" text, "Bike" text, "Laps" real, "Time" text, "Grid" real )
SELECT "Laps" FROM table_9817 WHERE "Grid" > '22' AND "Time" = '+1:29.001'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3916, 2517, 41, 96, 448, 23, 588, 121, 1499, 6, 96, 279, 5208, 121, 1499, 6, 96, 3612, 102, 7, 121, 490, 6, 96, 13368, 121, 1499, 6, 96, 13313, 26, 121, 490, 3, 61, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 3612, 102, 7, 121, 21680, 953, 834, 3916, 2517, 549, 17444, 427, 96, 13313, 26, 121, 2490, 3, 31, 2884, 31, 3430, 96, 13368, 121, 3274, 3, 31, 18446, 10, 3166, 5, 17465, 31, 1, -100, -100, -100, -100, -100, ...
Which Affiliation has a Nickname of cougars?
CREATE TABLE table_name_47 (affiliation VARCHAR, nickname VARCHAR)
SELECT affiliation FROM table_name_47 WHERE nickname = "cougars"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 4127, 173, 23, 257, 584, 4280, 28027, 6, 24649, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 71, 89, 8027, 23, 257, 65, 3, 9, 7486, 4350,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 24405, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 24649, 3274, 96, 3422, 1478, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
which has the most land area in miles ?
CREATE TABLE table_203_510 ( id number, "township" text, "fips" number, "population\ncenter" text, "population" number, "population\ndensity\n(/mi2)" number, "population\ndensity\n(/km2)" number, "land area\n(mi2)" number, "land area\n(km2)" number, "water area\n(mi2)" number, "water area\n(km2)" number, "geographic coordinates" text )
SELECT "township" FROM table_203_510 ORDER BY "land area\n(mi2)" DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 25926, 41, 3, 23, 26, 381, 6, 96, 3540, 2009, 121, 1499, 6, 96, 89, 15432, 121, 381, 6, 96, 9791, 7830, 2, 29, 13866, 121, 1499, 6, 96, 9791, 7830, 121, 381...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3540, 2009, 121, 21680, 953, 834, 23330, 834, 25926, 4674, 11300, 272, 476, 96, 40, 232, 616, 2, 29, 599, 51, 23, 7318, 121, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the valvetrain with an engine model that is engine model?
CREATE TABLE table_76087 ( "engine model" text, "engine displacement" text, "valvetrain" text, "max. power : kW ( PS )" text, "rpm for max. power" text, "max. torque : Nm ( ft\u00b7lbf )" text, "rpm for max. torque" text )
SELECT "valvetrain" FROM table_76087 WHERE "engine model" = 'engine model'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 28212, 4225, 41, 96, 20165, 825, 121, 1499, 6, 96, 20165, 27780, 121, 1499, 6, 96, 2165, 162, 9719, 121, 1499, 6, 96, 9128, 5, 579, 3, 10, 3, 21729, 41, 5610, 3, 61, 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, 2165, 162, 9719, 121, 21680, 953, 834, 28212, 4225, 549, 17444, 427, 96, 20165, 825, 121, 3274, 3, 31, 20165, 825, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the average amount of spectators when the away team scored 14.7 (91)?
CREATE TABLE table_55957 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT AVG("Crowd") FROM table_55957 WHERE "Away team score" = '14.7 (91)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 3390, 3436, 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, 71, 17217, 599, 121, 254, 3623, 26, 8512, 21680, 953, 834, 755, 3390, 3436, 549, 17444, 427, 96, 188, 1343, 372, 2604, 121, 3274, 3, 31, 536, 25211, 14156, 6982, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100...