NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
When was incumbent William B. Oliver first elected?
CREATE TABLE table_1342379_2 (first_elected INTEGER, incumbent VARCHAR)
SELECT MAX(first_elected) FROM table_1342379_2 WHERE incumbent = "William B. Oliver"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23747, 2773, 4440, 834, 357, 41, 14672, 834, 19971, 3, 21342, 17966, 6, 28406, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 366, 47, 28406, 4599, 272, 5, 15865, 166, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 14672, 834, 19971, 61, 21680, 953, 834, 23747, 2773, 4440, 834, 357, 549, 17444, 427, 28406, 3274, 96, 518, 1092, 23, 265, 272, 5, 15865, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the results for steve millen
CREATE TABLE table_13643154_2 ( results VARCHAR, gto_winning_team VARCHAR )
SELECT results FROM table_13643154_2 WHERE gto_winning_team = "Steve Millen"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23459, 4906, 27308, 834, 357, 41, 772, 584, 4280, 28027, 6, 3, 122, 235, 834, 8163, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 772, 21, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 772, 21680, 953, 834, 23459, 4906, 27308, 834, 357, 549, 17444, 427, 3, 122, 235, 834, 8163, 834, 11650, 3274, 96, 14337, 162, 4185, 35, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
The Maserati 4cl's minimum no was?
CREATE TABLE table_24682 ( "No" real, "Driver" text, "Entrant" text, "Constructor" text, "Chassis" text, "Engine" text )
SELECT MIN("No") FROM table_24682 WHERE "Chassis" = 'Maserati 4CL'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 3651, 357, 41, 96, 4168, 121, 490, 6, 96, 20982, 52, 121, 1499, 6, 96, 16924, 3569, 121, 1499, 6, 96, 4302, 7593, 127, 121, 1499, 6, 96, 3541, 6500, 7, 121, 1499, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 4168, 8512, 21680, 953, 834, 2266, 3651, 357, 549, 17444, 427, 96, 3541, 6500, 7, 121, 3274, 3, 31, 329, 9, 7, 15, 6850, 314, 8440, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the kickoff time on November 10, 2002?
CREATE TABLE table_78823 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Kickoff Time" text, "Attendance" text )
SELECT "Kickoff Time" FROM table_78823 WHERE "Date" = 'november 10, 2002'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3940, 4613, 519, 41, 96, 518, 10266, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 439, 3142, 1647, 2900, 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, 439, 3142, 1647, 2900, 121, 21680, 953, 834, 3940, 4613, 519, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 5326, 18247, 10372, 4407, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
From Country is Vijay Singh?
CREATE TABLE table_name_48 (country VARCHAR, player VARCHAR)
SELECT country FROM table_name_48 WHERE player = "vijay singh"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 17529, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 1029, 6993, 19, 1813, 1191, 63, 16738, 58, 1, 0, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 1959, 3274, 96, 2099, 1191, 63, 10159, 107, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Surface has a Result of fernando verdasco?
CREATE TABLE table_name_10 ( surface VARCHAR, result VARCHAR )
SELECT surface FROM table_name_10 WHERE result = "fernando verdasco"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 1774, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 18884, 65, 3, 9, 3, 20119, 13, 3, 8377, 232, 32, 548, 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, 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, 1714, 549, 17444, 427, 741, 3274, 96, 8377, 232, 32, 548, 7664, 509, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
south korea has how many more medals that north korea ?
CREATE TABLE table_203_630 ( id number, "rank" number, "nation" text, "gold" number, "silver" number, "bronze" number, "total" number )
SELECT (SELECT "total" FROM table_203_630 WHERE "nation" = 'south korea') - (SELECT "total" FROM table_203_630 WHERE "nation" = 'north korea')
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 26106, 41, 3, 23, 26, 381, 6, 96, 6254, 121, 381, 6, 96, 29, 257, 121, 1499, 6, 96, 14910, 121, 381, 6, 96, 7, 173, 624, 121, 381, 6, 96, 13711, 776, 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, 41, 23143, 14196, 96, 235, 1947, 121, 21680, 953, 834, 23330, 834, 26106, 549, 17444, 427, 96, 29, 257, 121, 3274, 3, 31, 7, 670, 107, 3, 5543, 15, 9, 31, 61, 3, 18, 41, 23143, 14196, 96, 235, 1947, 121, 21680, ...
what is the number of patients whose days of hospital stay is greater than 7 and procedure short title is hemodialysis?
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 ) 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 )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "7" AND procedures.short_title = "Hemodialysis"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
Which Score has a Date of 13 april 1997?
CREATE TABLE table_name_50 (score VARCHAR, date VARCHAR)
SELECT score FROM table_name_50 WHERE date = "13 april 1997"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 17763, 65, 3, 9, 7678, 13, 1179, 3, 9, 2246, 40, 6622, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 833, 3274, 96, 2368, 3, 9, 2246, 40, 6622, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For airlines named Aeroflot Group, what is the alliance?
CREATE TABLE table_name_11 ( alliance__association VARCHAR, airline_holding VARCHAR )
SELECT alliance__association FROM table_name_11 WHERE airline_holding = "aeroflot group"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 15454, 834, 834, 13443, 584, 4280, 28027, 6, 11545, 834, 21647, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 242, 19184, 2650, 12727, 89, 3171, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15454, 834, 834, 13443, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 11545, 834, 21647, 3274, 96, 9, 49, 858, 3171, 563, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What city in the 06/07 season had cagliari and finished 16th in serie a?
CREATE TABLE table_55482 ( "Club" text, "City" text, "Stadium" text, "Capacity" real, "2006-2007 season" text )
SELECT "City" FROM table_55482 WHERE "2006-2007 season" = '16th in serie a' AND "Club" = 'cagliari'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3769, 3707, 357, 41, 96, 254, 11158, 121, 1499, 6, 96, 254, 485, 121, 1499, 6, 96, 134, 17, 9, 12925, 121, 1499, 6, 96, 19566, 9, 6726, 121, 490, 6, 96, 21196, 18, 2061...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 254, 485, 121, 21680, 953, 834, 3769, 3707, 357, 549, 17444, 427, 96, 21196, 18, 20615, 774, 121, 3274, 3, 31, 2938, 189, 16, 12480, 3, 9, 31, 3430, 96, 254, 11158, 121, 3274, 3, 31, 658, 4707, 1665, 31, 1, ...
What was the position of the player who played for New York Islanders NHL Team?
CREATE TABLE table_29025 ( "Pick #" real, "Player" text, "Position" text, "Nationality" text, "NHL team" text, "College/junior/club team" text )
SELECT "Position" FROM table_29025 WHERE "NHL team" = 'New York Islanders'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23838, 1828, 41, 96, 345, 3142, 1713, 121, 490, 6, 96, 15800, 49, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 24732, 485, 121, 1499, 6, 96, 15743, 434, 372, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 345, 32, 7, 4749, 121, 21680, 953, 834, 23838, 1828, 549, 17444, 427, 96, 15743, 434, 372, 121, 3274, 3, 31, 6861, 1060, 2834, 277, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Tell me the nomination for peresohla zemlia
CREATE TABLE table_name_41 ( nomination VARCHAR, film_name VARCHAR )
SELECT nomination FROM table_name_41 WHERE film_name = "peresohla zemlia"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 13588, 584, 4280, 28027, 6, 814, 834, 4350, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 8779, 140, 8, 13588, 21, 399, 15, 7, 32, 107, 521, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 13588, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 814, 834, 4350, 3274, 96, 883, 15, 7, 32, 107, 521, 3, 776, 51, 40, 23, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When pronoun is the subject what is the episode title?
CREATE TABLE table_191105_2 ( episode_title VARCHAR, subject VARCHAR )
SELECT episode_title FROM table_191105_2 WHERE subject = "pronoun"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 536, 12869, 834, 357, 41, 5640, 834, 21869, 584, 4280, 28027, 6, 1426, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 366, 813, 15358, 29, 19, 8, 1426, 125, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5640, 834, 21869, 21680, 953, 834, 2294, 536, 12869, 834, 357, 549, 17444, 427, 1426, 3274, 96, 1409, 15358, 29, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Col entry for the peak with an elevation of 2,308 meters?
CREATE TABLE table_name_86 ( col__m_ VARCHAR, elevation__m_ VARCHAR )
SELECT COUNT(col__m_) FROM table_name_86 WHERE elevation__m_ = 2 OFFSET 308
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 7632, 834, 834, 51, 834, 584, 4280, 28027, 6, 16417, 834, 834, 51, 834, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 3043, 1764,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 3297, 834, 834, 51, 834, 61, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 16417, 834, 834, 51, 834, 3274, 204, 3, 15316, 20788, 604, 927, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the Competition with a Date with 6 december 2011?
CREATE TABLE table_11177 ( "Date" text, "Venue" text, "Score" text, "Result" text, "Competition" text )
SELECT "Competition" FROM table_11177 WHERE "Date" = '6 december 2011'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 15866, 4013, 41, 96, 308, 342, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 5890, 4995, 4749, 121, 1499, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 5890, 4995, 4749, 121, 21680, 953, 834, 15866, 4013, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 948, 20, 75, 18247, 2722, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the motogp winner for 6 may
CREATE TABLE table_27948565_1 (motogp_winner VARCHAR, date VARCHAR)
SELECT motogp_winner FROM table_27948565_1 WHERE date = "6 May"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 4240, 4433, 4122, 834, 536, 41, 11188, 122, 102, 834, 3757, 687, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 3, 11188, 122, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 11188, 122, 102, 834, 3757, 687, 21680, 953, 834, 2555, 4240, 4433, 4122, 834, 536, 549, 17444, 427, 833, 3274, 96, 948, 932, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
was no. 1 or veteran built in 1847 ?
CREATE TABLE table_204_476 ( id number, "name" text, "date built" number, "builder" text, "works no." number, "wheels" text, "cylinders" text, "notes" text, "withdrawn" number )
SELECT "name" FROM table_204_476 WHERE "name" IN ('no.1', 'veteran') AND "date built" = 1847
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 591, 3959, 41, 3, 23, 26, 381, 6, 96, 4350, 121, 1499, 6, 96, 5522, 1192, 121, 381, 6, 96, 16422, 49, 121, 1499, 6, 96, 13631, 150, 535, 381, 6, 96, 14074, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 26363, 834, 591, 3959, 549, 17444, 427, 96, 4350, 121, 3388, 41, 31, 29, 32, 5, 536, 31, 6, 3, 31, 162, 449, 152, 31, 61, 3430, 96, 5522, 1192, 121, 3274, 507, 4177, 1, -100, -1...
What is the lowest value for bronze with a total of 3 and a value for silver greater than 1 while the value of gold is smaller than 1?
CREATE TABLE table_name_56 (bronze INTEGER, gold VARCHAR, total VARCHAR, silver VARCHAR)
SELECT MIN(bronze) FROM table_name_56 WHERE total = 3 AND silver > 1 AND gold < 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 13711, 776, 3, 21342, 17966, 6, 2045, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 13711, 776, 61, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 792, 3274, 220, 3430, 4294, 2490, 209, 3430, 2045, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is every date with a record of 30 34 12?
CREATE TABLE table_26117 ( "Game" real, "Date" text, "Opponent" text, "Score" text, "Location" text, "Attendance" real, "Record" text, "Points" real )
SELECT "Date" FROM table_26117 WHERE "Record" = '30–34–12'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 20275, 41, 96, 23055, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 434, 32, 75, 257, 121, 1499, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 308, 342, 121, 21680, 953, 834, 2688, 20275, 549, 17444, 427, 96, 1649, 7621, 121, 3274, 3, 31, 1458, 104, 3710, 104, 2122, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the lowest total with a finish of t47?
CREATE TABLE table_name_88 ( total INTEGER, finish VARCHAR )
SELECT MIN(total) FROM table_name_88 WHERE finish = "t47"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 792, 3, 21342, 17966, 6, 1992, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 7402, 792, 28, 3, 9, 1992, 13, 3, 17, 4177, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 235, 1947, 61, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 1992, 3274, 96, 17, 4177, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For record 25-24, what is the sum of attendance?
CREATE TABLE table_name_83 ( attendance VARCHAR, record VARCHAR )
SELECT COUNT(attendance) FROM table_name_83 WHERE record = "25-24"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 11364, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 242, 1368, 944, 14962, 6, 125, 19, 8, 4505, 13, 11364, 58, 1,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 1368, 3274, 96, 1828, 14962, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What country did Gil play against on 21 23 september 2007?
CREATE TABLE table_22091 ( "Edition" text, "Round" text, "Date" text, "Partnering" text, "Against" text, "Surface" text, "Opponents" text, "W\u2013L" text, "Result" text )
SELECT "Against" FROM table_22091 WHERE "Date" = '21–23 September 2007'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 1755, 4729, 41, 96, 427, 10569, 121, 1499, 6, 96, 448, 32, 1106, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 13725, 687, 53, 121, 1499, 6, 96, 20749, 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, 20749, 121, 21680, 953, 834, 357, 1755, 4729, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 2658, 104, 2773, 1600, 4101, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which mean number of losses had a played number that was bigger than 34?
CREATE TABLE table_53526 ( "Position" real, "Club" text, "Played" real, "Points" text, "Wins" real, "Draws" real, "Losses" real, "Goals for" real, "Goals against" real, "Goal Difference" real )
SELECT AVG("Losses") FROM table_53526 WHERE "Played" > '34'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 2469, 2688, 41, 96, 345, 32, 7, 4749, 121, 490, 6, 96, 254, 11158, 121, 1499, 6, 96, 15800, 15, 26, 121, 490, 6, 96, 22512, 7, 121, 1499, 6, 96, 18455, 7, 121, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 121, 434, 13526, 7, 8512, 21680, 953, 834, 755, 2469, 2688, 549, 17444, 427, 96, 15800, 15, 26, 121, 2490, 3, 31, 3710, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What 1978 has a 1976 of 62%?
CREATE TABLE table_name_99 (Id VARCHAR)
SELECT 1978 FROM table_name_99 WHERE 1976 = "62%"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 196, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 14834, 65, 3, 9, 16164, 13, 431, 5406, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 14834, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 16164, 3274, 96, 948, 5406, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Place that has Money of 150, and a Player of bobby cruickshank?
CREATE TABLE table_name_83 (place VARCHAR, money___$__ VARCHAR, player VARCHAR)
SELECT place FROM table_name_83 WHERE money___$__ = 150 AND player = "bobby cruickshank"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 4687, 584, 4280, 28027, 6, 540, 834, 834, 834, 3229, 834, 834, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 3399...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 286, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 540, 834, 834, 834, 3229, 834, 834, 3274, 4261, 3430, 1959, 3274, 96, 17396, 969, 8396, 3142, 7, 2618, 157, 121, 1, -100, -100, -100, -100, -100, -100, -100, -...
what is the number of patients whose language is port and age is less than 64?
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 ) 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 )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "PORT" AND demographic.age < "64"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4293, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 24925, 3274, 96, 14536, 121, 3430, 14798, 5, 545, 3, 2, 96, 4389, 121, 1, -100, -100, -100, -100...
What is Highest Total, when Year(s) Won is before 1959?
CREATE TABLE table_name_99 (total INTEGER, year_s__won INTEGER)
SELECT MAX(total) FROM table_name_99 WHERE year_s__won < 1959
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 235, 1947, 3, 21342, 17966, 6, 215, 834, 7, 834, 834, 210, 106, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 1592, 222, 9273, 6, 116, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 235, 1947, 61, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 215, 834, 7, 834, 834, 210, 106, 3, 2, 22471, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest number of draws of the NTFA Div 2 Lilydale?
CREATE TABLE table_75325 ( "NTFA Div 2" text, "Wins" real, "Byes" real, "Losses" real, "Draws" real, "Against" real )
SELECT MIN("Draws") FROM table_75325 WHERE "NTFA Div 2" = 'lilydale'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3072, 519, 1828, 41, 96, 7359, 4795, 3, 21313, 204, 121, 1499, 6, 96, 18455, 7, 121, 490, 6, 96, 279, 10070, 121, 490, 6, 96, 434, 13526, 7, 121, 490, 6, 96, 308, 10936...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 308, 10936, 7, 8512, 21680, 953, 834, 3072, 519, 1828, 549, 17444, 427, 96, 7359, 4795, 3, 21313, 204, 121, 3274, 3, 31, 40, 9203, 5437, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
what was the difference in win percentage between john pawlowski and porter grant ?
CREATE TABLE table_203_593 ( id number, "tenure" text, "coach" text, "years" number, "record" text, "pct." number, "ncaa tournament" number )
SELECT (SELECT "pct." FROM table_203_593 WHERE "coach" = 'john pawlowski') - (SELECT "pct." FROM table_203_593 WHERE "coach" = 'porter grant')
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 3390, 519, 41, 3, 23, 26, 381, 6, 96, 324, 1462, 121, 1499, 6, 96, 509, 1836, 121, 1499, 6, 96, 1201, 7, 121, 381, 6, 96, 60, 7621, 121, 1499, 6, 96, 102,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 41, 23143, 14196, 96, 102, 75, 17, 535, 21680, 953, 834, 23330, 834, 3390, 519, 549, 17444, 427, 96, 509, 1836, 121, 3274, 3, 31, 27341, 3, 19589, 40, 21180, 31, 61, 3, 18, 41, 23143, 14196, 96, 102, 75, 17, 535...
Count the number of male students who had class senator votes in the fall election cycle.
CREATE TABLE student ( stuid number, lname text, fname text, age number, sex text, major number, advisor number, city_code text ) CREATE TABLE voting_record ( stuid number, registration_date text, election_cycle text, president_vote number, vice_president_vote number, secretary_vote number, treasurer_vote number, class_president_vote number, class_senator_vote number )
SELECT COUNT(*) FROM student AS T1 JOIN voting_record AS T2 ON T1.stuid = class_senator_vote WHERE T1.sex = "M" AND T2.election_cycle = "Fall"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1236, 41, 21341, 23, 26, 381, 6, 3, 40, 4350, 1499, 6, 3, 89, 4350, 1499, 6, 1246, 381, 6, 3, 7, 994, 1499, 6, 779, 381, 6, 8815, 381, 6, 690, 834, 4978, 1499, 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, 1935, 61, 21680, 1236, 6157, 332, 536, 3, 15355, 3162, 10601, 834, 60, 7621, 6157, 332, 357, 9191, 332, 5411, 7, 17, 76, 23, 26, 3274, 853, 834, 7, 35, 1016, 834, 1621, 17, 15, 549, 17444, 427, ...
Which customer status code has least number of customers?
CREATE TABLE lessons ( lesson_id number, customer_id number, lesson_status_code text, staff_id number, vehicle_id number, lesson_date time, lesson_time text, price number ) CREATE TABLE staff ( staff_id number, staff_address_id number, nickname text, first_name text, middle_name text, last_name text, date_of_birth time, date_joined_staff time, date_left_staff time ) CREATE TABLE customer_payments ( customer_id number, datetime_payment time, payment_method_code text, amount_payment number ) CREATE TABLE customers ( customer_id number, customer_address_id number, customer_status_code text, date_became_customer time, date_of_birth time, first_name text, last_name text, amount_outstanding number, email_address text, phone_number text, cell_mobile_phone_number text ) CREATE TABLE addresses ( address_id number, line_1_number_building text, city text, zip_postcode text, state_province_county text, country text ) CREATE TABLE vehicles ( vehicle_id number, vehicle_details text )
SELECT customer_status_code FROM customers GROUP BY customer_status_code ORDER BY COUNT(*) LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 5182, 41, 6114, 834, 23, 26, 381, 6, 884, 834, 23, 26, 381, 6, 6114, 834, 8547, 302, 834, 4978, 1499, 6, 871, 834, 23, 26, 381, 6, 1689, 834, 23, 26, 381, 6, 6114, 834, 5522, 9...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 884, 834, 8547, 302, 834, 4978, 21680, 722, 350, 4630, 6880, 272, 476, 884, 834, 8547, 302, 834, 4978, 4674, 11300, 272, 476, 2847, 17161, 599, 1935, 61, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, ...
Who is the constructor of John Surtees's Oulton Park circuit car?
CREATE TABLE table_58403 ( "Race Name" text, "Circuit" text, "Date" text, "Winning driver" text, "Constructor" text, "Report" text )
SELECT "Constructor" FROM table_58403 WHERE "Circuit" = 'oulton park' AND "Winning driver" = 'john surtees'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3449, 2445, 519, 41, 96, 448, 3302, 5570, 121, 1499, 6, 96, 254, 23, 52, 21560, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 518, 10503, 2535, 121, 1499, 6, 96, 4302, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4302, 7593, 127, 121, 21680, 953, 834, 3449, 2445, 519, 549, 17444, 427, 96, 254, 23, 52, 21560, 121, 3274, 3, 31, 1063, 7377, 2447, 31, 3430, 96, 518, 10503, 2535, 121, 3274, 3, 31, 27341, 244, 17, 15, 15, ...
What is every denomination for the school Seymour college?
CREATE TABLE table_22043925_1 (denomination VARCHAR, school VARCHAR)
SELECT denomination FROM table_22043925_1 WHERE school = "Seymour College"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 26363, 3288, 1828, 834, 536, 41, 537, 32, 14484, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 334, 28730, 21, 8, 496, 679, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 28730, 21680, 953, 834, 357, 26363, 3288, 1828, 834, 536, 549, 17444, 427, 496, 3274, 96, 134, 15, 63, 51, 1211, 1888, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the Record of Visitor of toronto st. pats with a Score of 5 4 and a Home of ottawa senators? Question 5
CREATE TABLE table_name_48 ( record VARCHAR, home VARCHAR, visitor VARCHAR, score VARCHAR )
SELECT record FROM table_name_48 WHERE visitor = "toronto st. pats" AND score = "5–4" AND home = "ottawa senators"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 1368, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 7019, 3274, 96, 235, 4438, 32, 3, 7, 17, 5, 6234, 7, 121, 3430, 2604, 3274, 96, 755, 104, 20364, 3430, 234, 3274, 96, 32, 17, 17, 7396, 20596, 7, 121, 1, ...
What were the lowest goals when the matches were smaller than 29?
CREATE TABLE table_name_40 ( goals INTEGER, matches INTEGER )
SELECT MIN(goals) FROM table_name_40 WHERE matches < 29
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 1766, 3, 21342, 17966, 6, 6407, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 130, 8, 7402, 1766, 116, 8, 6407, 130, 2755, 145, 2838, 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, 3, 17684, 599, 839, 5405, 61, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 6407, 3, 2, 2838, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
who is the home team when the away team is wolverhampton wanderers?
CREATE TABLE table_name_20 ( home_team VARCHAR, away_team VARCHAR )
SELECT home_team FROM table_name_20 WHERE away_team = "wolverhampton wanderers"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 234, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 113, 19, 8, 234, 372, 116, 8, 550, 372, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 550, 834, 11650, 3274, 96, 210, 32, 40, 624, 1483, 11632, 10735, 277, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Find the name of customers who did not pay with Cash.
CREATE TABLE customers (customer_name VARCHAR, payment_method VARCHAR)
SELECT customer_name FROM customers WHERE payment_method <> 'Cash'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 722, 41, 25697, 49, 834, 4350, 584, 4280, 28027, 6, 1942, 834, 23152, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2588, 8, 564, 13, 722, 113, 410, 59, 726, 28, 8835, 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, 0...
[ 3, 23143, 14196, 884, 834, 4350, 21680, 722, 549, 17444, 427, 1942, 834, 23152, 3, 2, 3155, 3, 31, 254, 3198, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
what is icu stay id of subject id 2560?
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 ) 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 lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
SELECT prescriptions.icustay_id FROM prescriptions WHERE prescriptions.subject_id = "2560"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4293, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 7744, 7, 5, 23, 1071, 21545, 834, 23, 26, 21680, 7744, 7, 549, 17444, 427, 7744, 7, 5, 7304, 11827, 834, 23, 26, 3274, 96, 1828, 3328, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What are the names of climbers and the corresponding names of mountains that they climb?
CREATE TABLE mountain ( mountain_id number, name text, height number, prominence number, range text, country text ) CREATE TABLE climber ( climber_id number, name text, country text, time text, points number, mountain_id number )
SELECT T1.name, T2.name FROM climber AS T1 JOIN mountain AS T2 ON T1.mountain_id = T2.mountain_id
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4180, 41, 4180, 834, 23, 26, 381, 6, 564, 1499, 6, 3902, 381, 6, 31829, 381, 6, 620, 1499, 6, 684, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 8147, 49, 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, 332, 5411, 4350, 6, 332, 4416, 4350, 21680, 8147, 49, 6157, 332, 536, 3, 15355, 3162, 4180, 6157, 332, 357, 9191, 332, 5411, 11231, 9, 77, 834, 23, 26, 3274, 332, 4416, 11231, 9, 77, 834, 23, 26, 1, -100, -100, ...
What is the name of the player when the Score was 72-73-67-72=284?
CREATE TABLE table_name_10 (player VARCHAR, score VARCHAR)
SELECT player FROM table_name_10 WHERE score = 72 - 73 - 67 - 72 = 284
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 20846, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 564, 13, 8, 1959, 116, 8, 17763, 47, 9455, 18, 4552,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 2604, 3274, 9455, 3, 18, 3, 4552, 3, 18, 3, 3708, 3, 18, 9455, 3274, 204, 4608, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who did the Cubs play when they had a record of 4-4?
CREATE TABLE table_name_56 ( opponent VARCHAR, record VARCHAR )
SELECT opponent FROM table_name_56 WHERE record = "4-4"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 15264, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 410, 8, 18640, 7, 577, 116, 79, 141, 3, 9, 1368, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 1368, 3274, 96, 591, 18, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the enrollment for tomcats
CREATE TABLE table_28471 ( "Institution" text, "Location" text, "Nickname" text, "Founded" real, "Enrollment" real, "Joined" real )
SELECT "Enrollment" FROM table_28471 WHERE "Nickname" = 'Tomcats'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4177, 536, 41, 96, 1570, 17448, 121, 1499, 6, 96, 434, 32, 75, 257, 121, 1499, 6, 96, 567, 3142, 4350, 121, 1499, 6, 96, 20100, 121, 490, 6, 96, 8532, 4046, 297, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8532, 4046, 297, 121, 21680, 953, 834, 2577, 4177, 536, 549, 17444, 427, 96, 567, 3142, 4350, 121, 3274, 3, 31, 3696, 51, 2138, 7, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
List member names and their party names.
CREATE TABLE party_events ( event_id number, event_name text, party_id number, member_in_charge_id number ) CREATE TABLE party ( party_id number, minister text, took_office text, left_office text, region_id number, party_name text ) CREATE TABLE region ( region_id number, region_name text, date text, label text, format text, catalogue text ) CREATE TABLE member ( member_id number, member_name text, party_id text, in_office text )
SELECT T1.member_name, T2.party_name FROM member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1088, 834, 15, 2169, 7, 41, 605, 834, 23, 26, 381, 6, 605, 834, 4350, 1499, 6, 1088, 834, 23, 26, 381, 6, 1144, 834, 77, 834, 7993, 834, 23, 26, 381, 3, 61, 3, 32102, 32103, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 5411, 12066, 834, 4350, 6, 332, 4416, 8071, 834, 4350, 21680, 1144, 6157, 332, 536, 3, 15355, 3162, 1088, 6157, 332, 357, 9191, 332, 5411, 8071, 834, 23, 26, 3274, 332, 4416, 8071, 834, 23, 26, 1, -100, -100, ...
What is the Winner of the Event in Nuevo Vallarta?
CREATE TABLE table_49358 ( "Date" text, "City" text, "Event" text, "Winner" text, "Prize" text )
SELECT "Winner" FROM table_49358 WHERE "City" = 'nuevo vallarta'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3647, 519, 3449, 41, 96, 308, 342, 121, 1499, 6, 96, 254, 485, 121, 1499, 6, 96, 427, 2169, 121, 1499, 6, 96, 18455, 687, 121, 1499, 6, 96, 7855, 776, 121, 1499, 3, 61,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 18455, 687, 121, 21680, 953, 834, 3647, 519, 3449, 549, 17444, 427, 96, 254, 485, 121, 3274, 3, 31, 29, 76, 15, 1621, 409, 195, 1408, 9, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What were the scores of the Wimbledon final matches where Newcombe was the runner-up?
CREATE TABLE table_23259077_1 (score_in_the_final VARCHAR, outcome VARCHAR, championship VARCHAR)
SELECT score_in_the_final FROM table_23259077_1 WHERE outcome = "Runner-up" AND championship = "Wimbledon"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 1828, 2394, 4013, 834, 536, 41, 7, 9022, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 6, 6138, 584, 4280, 28027, 6, 10183, 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, 2604, 834, 77, 834, 532, 834, 12406, 21680, 953, 834, 2773, 1828, 2394, 4013, 834, 536, 549, 17444, 427, 6138, 3274, 96, 23572, 18, 413, 121, 3430, 10183, 3274, 96, 518, 603, 2296, 2029, 121, 1, -100, -100, -100, -1...
What is the GDP at constant prices for a current account balance of 12.8?
CREATE TABLE table_4304 ( "Year" real, "GDP at constant prices (THB trillions)" text, "GDP at constant prices growth rate (percent change)" text, "GDP at current prices (USD billions)" text, "Export volume of goods and services (percent change)" text, "Current account balance (percent of GDP)" text )
SELECT "GDP at constant prices (THB trillions)" FROM table_4304 WHERE "Current account balance (percent of GDP)" = '12.8'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 23702, 41, 96, 476, 2741, 121, 490, 6, 96, 517, 7410, 44, 3917, 1596, 41, 4611, 279, 20179, 7, 61, 121, 1499, 6, 96, 517, 7410, 44, 3917, 1596, 1170, 1080, 41, 883, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 517, 7410, 44, 3917, 1596, 41, 4611, 279, 20179, 7, 61, 121, 21680, 953, 834, 591, 23702, 549, 17444, 427, 96, 254, 450, 5320, 905, 2109, 41, 883, 3728, 13, 11284, 61, 121, 3274, 3, 31, 9368, 927, 31, 1, -10...
Who was featured in the election of charles edward bennett redistricted from 2nd?
CREATE TABLE table_1341843_10 (candidates VARCHAR, incumbent VARCHAR)
SELECT candidates FROM table_1341843_10 WHERE incumbent = "Charles Edward Bennett Redistricted from 2nd"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23747, 2606, 4906, 834, 1714, 41, 1608, 12416, 6203, 584, 4280, 28027, 6, 28406, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 4510, 16, 8, 4356, 13, 3, 4059...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4341, 21680, 953, 834, 23747, 2606, 4906, 834, 1714, 549, 17444, 427, 28406, 3274, 96, 18947, 965, 8200, 23464, 1624, 159, 3929, 1054, 45, 204, 727, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
A bar chart for what are the number of the names of the technicians by ascending order of quality rank for the machine they are assigned?
CREATE TABLE technician ( technician_id real, Name text, Team text, Starting_Year real, Age int ) CREATE TABLE repair_assignment ( technician_id int, repair_ID int, Machine_ID int ) CREATE TABLE machine ( Machine_ID int, Making_Year int, Class text, Team text, Machine_series text, value_points real, quality_rank int ) CREATE TABLE repair ( repair_ID int, name text, Launch_Date text, Notes text )
SELECT Name, COUNT(Name) FROM repair_assignment AS T1 JOIN machine AS T2 ON T1.Machine_ID = T2.Machine_ID JOIN technician AS T3 ON T1.technician_id = T3.technician_id GROUP BY Name ORDER BY T2.quality_rank
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 17730, 41, 17730, 834, 23, 26, 490, 6, 5570, 1499, 6, 2271, 1499, 6, 14362, 834, 476, 2741, 490, 6, 7526, 16, 17, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 2096, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5570, 6, 2847, 17161, 599, 23954, 61, 21680, 2096, 834, 9, 7, 6732, 297, 6157, 332, 536, 3, 15355, 3162, 1437, 6157, 332, 357, 9191, 332, 5411, 329, 1836, 630, 834, 4309, 3274, 332, 4416, 329, 1836, 630, 834, 4309, ...
What's the number of pm10 particles when sulphur dioxide is at 266-354?
CREATE TABLE table_2053 ( "Index" real, "Ozone, Running 8 hourly mean (\u03bcg/m 3 )" text, "Nitrogen Dioxide, Hourly mean (\u03bcg/m 3 )" text, "Sulphur Dioxide, 15 minute mean (\u03bcg/m 3 )" text, "PM10 Particles, 24 hour mean (\u03bcg/m 3 )" text, "PM2.5 Particles, 24 hour mean (\u03bcg/m 3 )" text )
SELECT "PM10 Particles, 24 hour mean (\u03bcg/m 3 )" FROM table_2053 WHERE "Sulphur Dioxide, 15 minute mean (\u03bcg/m 3 )" = '266-354'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1755, 4867, 41, 96, 26267, 226, 121, 490, 6, 96, 667, 9431, 6, 18286, 505, 1781, 120, 1243, 41, 2, 76, 4928, 115, 75, 122, 87, 51, 220, 3, 61, 121, 1499, 6, 96, 567, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6218, 1714, 276, 8372, 7, 6, 997, 1781, 1243, 41, 2, 76, 4928, 115, 75, 122, 87, 51, 220, 3, 61, 121, 21680, 953, 834, 1755, 4867, 549, 17444, 427, 96, 134, 27786, 450, 2043, 6778, 15, 6, 627, 1962, 1243, ...
Who are the opponents for games on Sunday, June 9?
CREATE TABLE table_24918268_2 (opponent VARCHAR, date VARCHAR)
SELECT opponent FROM table_24918268_2 WHERE date = "Sunday, June 9"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 4729, 4613, 3651, 834, 357, 41, 32, 102, 9977, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 33, 8, 16383, 21, 1031, 30, 1771, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15264, 21680, 953, 834, 2266, 4729, 4613, 3651, 834, 357, 549, 17444, 427, 833, 3274, 96, 134, 202, 1135, 6, 1515, 668, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Stack bar chart of the number of headquarters vs Industry based on headquarters, and I want to display in asc by the Y-axis.
CREATE TABLE company ( Company_ID real, Name text, Headquarters text, Industry text, Sales_in_Billion real, Profits_in_Billion real, Assets_in_Billion real, Market_Value_in_Billion real ) CREATE TABLE employment ( Company_ID int, People_ID int, Year_working int ) CREATE TABLE people ( People_ID int, Age int, Name text, Nationality text, Graduation_College text )
SELECT Headquarters, COUNT(Headquarters) FROM company GROUP BY Industry, Headquarters ORDER BY COUNT(Headquarters)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 349, 41, 1958, 834, 4309, 490, 6, 5570, 1499, 6, 31282, 1499, 6, 9036, 1499, 6, 7107, 834, 77, 834, 279, 14916, 490, 6, 14717, 7, 834, 77, 834, 279, 14916, 490, 6, 18202, 7, 834, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 31282, 6, 2847, 17161, 599, 3845, 9, 26, 19973, 7, 61, 21680, 349, 350, 4630, 6880, 272, 476, 9036, 6, 31282, 4674, 11300, 272, 476, 2847, 17161, 599, 3845, 9, 26, 19973, 7, 61, 1, -100, -100, -100, -100, -100, -1...
Which film did Al Mackay write?
CREATE TABLE table_69173 ( "Film" text, "Director(s)" text, "Producer(s)" text, "Writer(s)" text, "Date" text, "Award" text )
SELECT "Film" FROM table_69173 WHERE "Writer(s)" = 'al mackay'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3951, 2517, 519, 41, 96, 371, 173, 51, 121, 1499, 6, 96, 23620, 127, 599, 7, 61, 121, 1499, 6, 96, 3174, 4817, 49, 599, 7, 61, 121, 1499, 6, 96, 24965, 49, 599, 7, 61...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 371, 173, 51, 121, 21680, 953, 834, 3951, 2517, 519, 549, 17444, 427, 96, 24965, 49, 599, 7, 61, 121, 3274, 3, 31, 138, 11486, 18075, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Give me the title and highest price for each film in a bar chart, order total number from high to low order.
CREATE TABLE schedule ( Cinema_ID int, Film_ID int, Date text, Show_times_per_day int, Price float ) CREATE TABLE film ( Film_ID int, Rank_in_series int, Number_in_season int, Title text, Directed_by text, Original_air_date text, Production_code text ) CREATE TABLE cinema ( Cinema_ID int, Name text, Openning_year int, Capacity int, Location text )
SELECT Title, MAX(T1.Price) FROM schedule AS T1 JOIN film AS T2 ON T1.Film_ID = T2.Film_ID GROUP BY Title ORDER BY MAX(T1.Price) DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2023, 41, 17544, 834, 4309, 16, 17, 6, 3417, 834, 4309, 16, 17, 6, 7678, 1499, 6, 3111, 834, 715, 7, 834, 883, 834, 1135, 16, 17, 6, 5312, 3, 12660, 3, 61, 3, 32102, 32103, 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, 11029, 6, 4800, 4, 599, 382, 5411, 345, 4920, 61, 21680, 2023, 6157, 332, 536, 3, 15355, 3162, 814, 6157, 332, 357, 9191, 332, 5411, 371, 173, 51, 834, 4309, 3274, 332, 4416, 371, 173, 51, 834, 4309, 350, 4630, 68...
Which Nationality has a Name of assyrian?
CREATE TABLE table_48280 ( "Date" text, "U-boat" text, "Name" text, "Nationality" text, "Tonnage (GRT)" real, "Fate" text )
SELECT "Nationality" FROM table_48280 WHERE "Name" = 'assyrian'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3707, 17518, 41, 96, 308, 342, 121, 1499, 6, 96, 1265, 18, 14131, 121, 1499, 6, 96, 23954, 121, 1499, 6, 96, 24732, 485, 121, 1499, 6, 96, 382, 106, 9761, 41, 517, 5934, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 24732, 485, 121, 21680, 953, 834, 3707, 17518, 549, 17444, 427, 96, 23954, 121, 3274, 3, 31, 9, 7, 7, 63, 5288, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What year did the San Agustin gym open?
CREATE TABLE table_69572 ( "Arena/Venue" text, "Home Campus" text, "Location" text, "Province/Region" text, "Maximum Seating Capacity" text, "Year Opened" text )
SELECT "Year Opened" FROM table_69572 WHERE "Arena/Venue" = 'san agustin gym'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3951, 3436, 357, 41, 96, 188, 1536, 9, 87, 553, 35, 76, 15, 121, 1499, 6, 96, 19040, 15201, 121, 1499, 6, 96, 434, 32, 75, 257, 121, 1499, 6, 96, 3174, 2494, 565, 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, 476, 2741, 2384, 15, 26, 121, 21680, 953, 834, 3951, 3436, 357, 549, 17444, 427, 96, 188, 1536, 9, 87, 553, 35, 76, 15, 121, 3274, 3, 31, 7, 152, 3, 9, 17198, 77, 7868, 31, 1, -100, -100, -100, -100, -100,...
What is the highest round of pick 3?
CREATE TABLE table_name_42 (round INTEGER, pick VARCHAR)
SELECT MAX(round) FROM table_name_42 WHERE pick = 3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4165, 41, 7775, 3, 21342, 17966, 6, 1432, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2030, 1751, 13, 1432, 220, 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, 4800, 4, 599, 7775, 61, 21680, 953, 834, 4350, 834, 4165, 549, 17444, 427, 1432, 3274, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the couples name where the average is 15.9?
CREATE TABLE table_73132 ( "Rank by average" real, "Place" real, "Couple" text, "Number of Dances" real, "Total Points" text, "Average" text )
SELECT "Couple" FROM table_73132 WHERE "Average" = '15.9'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4552, 23757, 41, 96, 22557, 57, 1348, 121, 490, 6, 96, 345, 11706, 121, 490, 6, 96, 3881, 413, 109, 121, 1499, 6, 96, 567, 5937, 49, 13, 9438, 7, 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, 96, 3881, 413, 109, 121, 21680, 953, 834, 4552, 23757, 549, 17444, 427, 96, 188, 624, 545, 121, 3274, 3, 31, 1808, 5, 1298, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What year did Naoki Tsukahara finish 3rd in the 200 m race?
CREATE TABLE table_name_4 (year VARCHAR, notes VARCHAR, position VARCHAR)
SELECT year FROM table_name_4 WHERE notes = "200 m" AND position = "3rd"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 1201, 584, 4280, 28027, 6, 3358, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 215, 410, 1823, 1825, 23, 332, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 215, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 3358, 3274, 96, 3632, 3, 51, 121, 3430, 1102, 3274, 96, 519, 52, 26, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the title of the episode that aired on 13 august 1981?
CREATE TABLE table_28023 ( "Episode #" text, "Original Air Date (UK)" text, "Episode Title" text, "Director" text, "Writer" text, "Cast" text )
SELECT "Episode Title" FROM table_28023 WHERE "Original Air Date (UK)" = '13 August 1981'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 17518, 2773, 41, 96, 427, 102, 159, 32, 221, 1713, 121, 1499, 6, 96, 667, 3380, 10270, 1761, 7678, 41, 15787, 61, 121, 1499, 6, 96, 427, 102, 159, 32, 221, 11029, 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, 427, 102, 159, 32, 221, 11029, 121, 21680, 953, 834, 17518, 2773, 549, 17444, 427, 96, 667, 3380, 10270, 1761, 7678, 41, 15787, 61, 121, 3274, 3, 31, 2368, 1660, 15465, 31, 1, -100, -100, -100, -100, -100, -100,...
Name the result/games for 52521
CREATE TABLE table_21436373_11 ( result_games VARCHAR, attendance VARCHAR )
SELECT result_games FROM table_21436373_11 WHERE attendance = 52521
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2658, 4906, 3891, 4552, 834, 2596, 41, 741, 834, 7261, 7, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 741, 87, 7261, 7, 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, 741, 834, 7261, 7, 21680, 953, 834, 2658, 4906, 3891, 4552, 834, 2596, 549, 17444, 427, 11364, 3274, 305, 1828, 2658, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many patients with respiratory distress syndrome diagnoses are on a main drug type prescription?
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 ) 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 )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Respiratory distress syn" AND prescriptions.drug_type = "MAIN"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 3...
Name the team for javier clemente
CREATE TABLE table_29398373_2 (team VARCHAR, head_coach VARCHAR)
SELECT team FROM table_29398373_2 WHERE head_coach = "Javier Clemente"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3166, 3288, 4591, 4552, 834, 357, 41, 11650, 584, 4280, 28027, 6, 819, 834, 509, 1836, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 372, 21, 2662, 5144, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 21680, 953, 834, 3166, 3288, 4591, 4552, 834, 357, 549, 17444, 427, 819, 834, 509, 1836, 3274, 96, 683, 9, 5144, 205, 3335, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many records are there for the games that took place on January 14.
CREATE TABLE table_13619135_5 ( record VARCHAR, date VARCHAR )
SELECT COUNT(record) FROM table_13619135_5 WHERE date = "January 14"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23459, 2294, 536, 2469, 834, 755, 41, 1368, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 3187, 33, 132, 21, 8, 1031, 24, 808,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 60, 7621, 61, 21680, 953, 834, 23459, 2294, 536, 2469, 834, 755, 549, 17444, 427, 833, 3274, 96, 30404, 968, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the maximum points for higher when the points for foundation is less than 0?
CREATE TABLE table_name_66 ( points_for_higher INTEGER, points_for_foundation INTEGER )
SELECT MAX(points_for_higher) FROM table_name_66 WHERE points_for_foundation < 0
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 979, 834, 1161, 834, 6739, 49, 3, 21342, 17966, 6, 979, 834, 1161, 834, 19732, 257, 3, 21342, 17966, 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, 4800, 4, 599, 2700, 7, 834, 1161, 834, 6739, 49, 61, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 979, 834, 1161, 834, 19732, 257, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the fan title with an end date of 1967-11-12?
CREATE TABLE table_2560677_1 (fan_title VARCHAR, end_date VARCHAR)
SELECT fan_title FROM table_2560677_1 WHERE end_date = "1967-11-12"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 19337, 5176, 4013, 834, 536, 41, 12351, 834, 21869, 584, 4280, 28027, 6, 414, 834, 5522, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1819, 2233, 28, 46, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1819, 834, 21869, 21680, 953, 834, 19337, 5176, 4013, 834, 536, 549, 17444, 427, 414, 834, 5522, 3274, 96, 2294, 3708, 9169, 5947, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When the home team was geelong, what did the away team score?
CREATE TABLE table_54941 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT "Away team score" FROM table_54941 WHERE "Home team" = 'geelong'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 5062, 4240, 536, 41, 96, 19040, 372, 121, 1499, 6, 96, 19040, 372, 2604, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 188, 1343, 372, 2604, 121, 1499, 6, 96, 553, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 188, 1343, 372, 2604, 121, 21680, 953, 834, 5062, 4240, 536, 549, 17444, 427, 96, 19040, 372, 121, 3274, 3, 31, 397, 15, 2961, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many years have a Rank-Final smaller than 7, and a Competition Description of olympic games, and a Score-Final smaller than 186.525?
CREATE TABLE table_name_22 ( year INTEGER, score_final VARCHAR, rank_final VARCHAR, competition_description VARCHAR )
SELECT SUM(year) FROM table_name_22 WHERE rank_final < 7 AND competition_description = "olympic games" AND score_final < 186.525
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 215, 3, 21342, 17966, 6, 2604, 834, 12406, 584, 4280, 28027, 6, 11003, 834, 12406, 584, 4280, 28027, 6, 2259, 834, 221, 11830, 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, 180, 6122, 599, 1201, 61, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 11003, 834, 12406, 3, 2, 489, 3430, 2259, 834, 221, 11830, 3274, 96, 32, 120, 51, 6174, 1031, 121, 3430, 2604, 834, 12406, 3, 2, 507, 17...
what is date of birth and icu stay id of subject name troy friedman?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob 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 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 )
SELECT demographic.dob, prescriptions.icustay_id FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.name = "Troy Friedman"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 14798, 5, 26, 32, 115, 6, 7744, 7, 5, 23, 1071, 21545, 834, 23, 26, 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, 1744...
Who was the defensive award winner in February when the rookie award was given to Rhys Duch?
CREATE TABLE table_19150 ( "Month" text, "Week" real, "Overall" text, "Offensive" text, "Defensive" text, "Transition" text, "Rookie" text )
SELECT "Defensive" FROM table_19150 WHERE "Month" = 'February' AND "Rookie" = 'Rhys Duch'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 12278, 41, 96, 9168, 189, 121, 1499, 6, 96, 518, 10266, 121, 490, 6, 96, 23847, 1748, 121, 1499, 6, 96, 21265, 35, 7, 757, 121, 1499, 6, 96, 2962, 23039, 15, 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, 2962, 23039, 15, 121, 21680, 953, 834, 2294, 12278, 549, 17444, 427, 96, 9168, 189, 121, 3274, 3, 31, 31122, 31, 3430, 96, 448, 21132, 121, 3274, 3, 31, 448, 107, 63, 7, 970, 524, 31, 1, -100, -100, -100, -1...
A line chart for what are the number of the dates of the orders made by the customer named 'Jeramie'?
CREATE TABLE Orders ( order_id INTEGER, customer_id INTEGER, order_status VARCHAR(10), date_order_placed DATETIME, order_details VARCHAR(255) ) CREATE TABLE Order_Items ( order_item_id INTEGER, product_id INTEGER, order_id INTEGER, order_item_status VARCHAR(10), order_item_details VARCHAR(255) ) CREATE TABLE Customers ( customer_id INTEGER, customer_name VARCHAR(80), customer_details VARCHAR(255) ) CREATE TABLE Shipments ( shipment_id INTEGER, order_id INTEGER, invoice_number INTEGER, shipment_tracking_number VARCHAR(80), shipment_date DATETIME, other_shipment_details VARCHAR(255) ) CREATE TABLE Products ( product_id INTEGER, product_name VARCHAR(80), product_details VARCHAR(255) ) CREATE TABLE Invoices ( invoice_number INTEGER, invoice_date DATETIME, invoice_details VARCHAR(255) ) CREATE TABLE Shipment_Items ( shipment_id INTEGER, order_item_id INTEGER )
SELECT date_order_placed, COUNT(date_order_placed) FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id WHERE T1.customer_name = "Jeramie"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 5197, 7, 41, 455, 834, 23, 26, 3, 21342, 17966, 6, 884, 834, 23, 26, 3, 21342, 17966, 6, 455, 834, 8547, 302, 584, 4280, 28027, 599, 16968, 6, 833, 834, 9397, 834, 4687, 26, 309, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9397, 834, 4687, 26, 6, 2847, 17161, 599, 5522, 834, 9397, 834, 4687, 26, 61, 21680, 16423, 6157, 332, 536, 3, 15355, 3162, 5197, 7, 6157, 332, 357, 9191, 332, 5411, 25697, 49, 834, 23, 26, 3274, 332, 44...
Where are the london borough with the black caribbean population of 17974?
CREATE TABLE table_1994 ( "Rank" real, "London Borough" text, "Black African Population" real, "Black Caribbean Population" real, "Other Black Population" real, "Total Black Population" real )
SELECT "London Borough" FROM table_1994 WHERE "Black Caribbean Population" = '17974'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 4240, 41, 96, 22557, 121, 490, 6, 96, 29712, 28666, 121, 1499, 6, 96, 20096, 3850, 29659, 121, 490, 6, 96, 20096, 12802, 29659, 121, 490, 6, 96, 667, 189, 49, 1589, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 29712, 28666, 121, 21680, 953, 834, 2294, 4240, 549, 17444, 427, 96, 20096, 12802, 29659, 121, 3274, 3, 31, 26593, 4581, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the average oveall pick for players from the college of Miami (FL)?
CREATE TABLE table_name_69 ( overall INTEGER, college VARCHAR )
SELECT AVG(overall) FROM table_name_69 WHERE college = "miami (fl)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 1879, 3, 21342, 17966, 6, 1900, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1348, 3, 32, 162, 1748, 1432, 21, 1508, 45, 8, 19...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 1890, 1748, 61, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 1900, 3274, 96, 51, 23, 3690, 41, 89, 40, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who made the car that won the race on May 21?
CREATE TABLE table_2241841_1 (manufacturer VARCHAR, date VARCHAR)
SELECT manufacturer FROM table_2241841_1 WHERE date = "May 21"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24622, 2606, 4853, 834, 536, 41, 348, 76, 8717, 450, 49, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 263, 8, 443, 24, 751, 8, 1964,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4818, 21680, 953, 834, 24622, 2606, 4853, 834, 536, 549, 17444, 427, 833, 3274, 96, 15881, 1401, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who did the team play against when a record of 3-1, #16 was achieved?
CREATE TABLE table_21063459_1 (opponent VARCHAR, record VARCHAR)
SELECT opponent FROM table_21063459_1 WHERE record = "3-1, #16"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 16431, 3710, 3390, 834, 536, 41, 32, 102, 9977, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 410, 8, 372, 577, 581, 116, 3, 9,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 357, 16431, 3710, 3390, 834, 536, 549, 17444, 427, 1368, 3274, 96, 519, 2292, 6, 1713, 2938, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many matched scored 3 6, 7 6(5), 6 3?
CREATE TABLE table_1028356_3 ( surface VARCHAR, score VARCHAR )
SELECT COUNT(surface) FROM table_1028356_3 WHERE score = "3–6, 7–6(5), 6–3"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 14388, 4591, 4834, 834, 519, 41, 1774, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 3, 10304, 5799, 220, 8580, 489, 431, 15757...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 26899, 61, 21680, 953, 834, 14388, 4591, 4834, 834, 519, 549, 17444, 427, 2604, 3274, 96, 519, 104, 11071, 489, 104, 948, 15757, 6, 431, 104, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
What circuit is the Vi Rhein-Pokalrennen race in?
CREATE TABLE table_16753 ( "Race Name" text, "Circuit" text, "Date" text, "Winning driver" text, "Constructor" text, "Report" text )
SELECT "Circuit" FROM table_16753 WHERE "Race Name" = 'VI Rhein-Pokalrennen'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27650, 4867, 41, 96, 448, 3302, 5570, 121, 1499, 6, 96, 254, 23, 52, 21560, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 518, 10503, 2535, 121, 1499, 6, 96, 4302, 7593, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 254, 23, 52, 21560, 121, 21680, 953, 834, 27650, 4867, 549, 17444, 427, 96, 448, 3302, 5570, 121, 3274, 3, 31, 7765, 17565, 18, 345, 32, 4766, 23292, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Find the name of the products that have the color description 'red' and have the characteristic name 'fast'.
CREATE TABLE ref_characteristic_types ( characteristic_type_code text, characteristic_type_description text ) CREATE TABLE ref_product_categories ( product_category_code text, product_category_description text, unit_of_measure text ) CREATE TABLE product_characteristics ( product_id number, characteristic_id number, product_characteristic_value text ) CREATE TABLE characteristics ( characteristic_id number, characteristic_type_code text, characteristic_data_type text, characteristic_name text, other_characteristic_details text ) CREATE TABLE products ( product_id number, color_code text, product_category_code text, product_name text, typical_buying_price text, typical_selling_price text, product_description text, other_product_details text ) CREATE TABLE ref_colors ( color_code text, color_description text )
SELECT product_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN characteristics AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "red" AND t3.characteristic_name = "fast"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6273, 834, 31886, 3040, 834, 6137, 7, 41, 16115, 834, 6137, 834, 4978, 1499, 6, 16115, 834, 6137, 834, 221, 11830, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 627...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4350, 21680, 494, 6157, 3, 17, 536, 3, 15355, 3162, 556, 834, 31886, 3040, 7, 6157, 3, 17, 357, 9191, 3, 17, 5411, 15892, 834, 23, 26, 3274, 3, 17, 4416, 15892, 834, 23, 26, 3, 15355, 3162, 6803, 6157,...
what is the nationality of the ship appam?
CREATE TABLE table_77987 ( "Date" text, "Ship" text, "Type" text, "Nationality" text, "Tonnage GRT" real )
SELECT "Nationality" FROM table_77987 WHERE "Ship" = 'appam'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4013, 3916, 940, 41, 96, 308, 342, 121, 1499, 6, 96, 134, 10462, 121, 1499, 6, 96, 25160, 121, 1499, 6, 96, 24732, 485, 121, 1499, 6, 96, 382, 106, 9761, 350, 5934, 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, 24732, 485, 121, 21680, 953, 834, 4013, 3916, 940, 549, 17444, 427, 96, 134, 10462, 121, 3274, 3, 31, 3096, 265, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which match report has l 7-30 as the result/score?
CREATE TABLE table_43097 ( "Week" real, "Date" text, "Opponent" text, "Time" text, "Game Site" text, "Result/Score" text, "Record" text, "Match Report" text )
SELECT "Match Report" FROM table_43097 WHERE "Result/Score" = 'l 7-30'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25449, 4327, 41, 96, 518, 10266, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 13368, 121, 1499, 6, 96, 23055, 3238, 121, 1499, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 329, 14547, 3750, 121, 21680, 953, 834, 25449, 4327, 549, 17444, 427, 96, 20119, 87, 134, 9022, 121, 3274, 3, 31, 40, 489, 10086, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Find out the first name and last name of staff lived in city Damianfort.
CREATE TABLE Staff (first_name VARCHAR, last_name VARCHAR, staff_address_id VARCHAR); CREATE TABLE Addresses (address_id VARCHAR, city VARCHAR)
SELECT T2.first_name, T2.last_name FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T1.city = "Damianfort"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 10071, 41, 14672, 834, 4350, 584, 4280, 28027, 6, 336, 834, 4350, 584, 4280, 28027, 6, 871, 834, 9, 26, 12039, 834, 23, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32102, 205, 4386, 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, 332, 4416, 14672, 834, 4350, 6, 332, 4416, 5064, 834, 4350, 21680, 13246, 15, 7, 6157, 332, 536, 3, 15355, 3162, 10071, 6157, 332, 357, 9191, 332, 5411, 9, 26, 12039, 834, 23, 26, 3274, 332, 4416, 26416, 834, 9, 2...
Which average rank has an Earning amount that is less than $224,589?
CREATE TABLE table_name_82 (rank INTEGER, earnings__$__ INTEGER)
SELECT AVG(rank) FROM table_name_82 WHERE earnings__$__ < 224 OFFSET 589
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 6254, 3, 21342, 17966, 6, 8783, 834, 834, 3229, 834, 834, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 4073, 1348, 11003, 65, 46, 19883, 53, 866, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 6254, 61, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 8783, 834, 834, 3229, 834, 834, 3, 2, 3, 24622, 3, 15316, 20788, 305, 3914, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Try diff has Tries for of 12?
CREATE TABLE table_name_34 ( try_diff VARCHAR, tries_for VARCHAR )
SELECT try_diff FROM table_name_34 WHERE tries_for = 12
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 653, 834, 26, 5982, 584, 4280, 28027, 6, 3, 9000, 834, 1161, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 5263, 20624, 65, 332, 2593, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 653, 834, 26, 5982, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 3, 9000, 834, 1161, 3274, 586, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What party did incumbent Albert Wynn belong to?
CREATE TABLE table_1341423_20 (party VARCHAR, incumbent VARCHAR)
SELECT party FROM table_1341423_20 WHERE incumbent = "Albert Wynn"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23747, 2534, 2773, 834, 1755, 41, 8071, 584, 4280, 28027, 6, 28406, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 1088, 410, 28406, 11375, 11314, 29, 29, 13000, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1088, 21680, 953, 834, 23747, 2534, 2773, 834, 1755, 549, 17444, 427, 28406, 3274, 96, 25691, 49, 17, 11314, 29, 29, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the prefix for the formula of Rsor'?
CREATE TABLE table_56822 ( "Chemical class" text, "Group" text, "Formula" text, "Prefix" text, "Suffix" text )
SELECT "Prefix" FROM table_56822 WHERE "Formula" = 'rsor'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4834, 4613, 357, 41, 96, 254, 6015, 1950, 853, 121, 1499, 6, 96, 27247, 121, 1499, 6, 96, 3809, 4115, 9, 121, 1499, 6, 96, 10572, 12304, 121, 1499, 6, 96, 134, 2999, 2407...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 10572, 12304, 121, 21680, 953, 834, 4834, 4613, 357, 549, 17444, 427, 96, 3809, 4115, 9, 121, 3274, 3, 31, 52, 7, 127, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the name of the place with 582.20 square km area?
CREATE TABLE table_176529_2 ( official_name VARCHAR, area_km_2 VARCHAR )
SELECT official_name FROM table_176529_2 WHERE area_km_2 = "582.20"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4122, 3166, 834, 357, 41, 2314, 834, 4350, 584, 4280, 28027, 6, 616, 834, 5848, 834, 357, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 564, 13,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2314, 834, 4350, 21680, 953, 834, 2517, 4122, 3166, 834, 357, 549, 17444, 427, 616, 834, 5848, 834, 357, 3274, 96, 3449, 4416, 1755, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
what is maximum age of patients whose marital status is single and admission type is urgent?
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 ) 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 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 MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.admission_type = "URGENT"
[ 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, 4800, 4, 599, 1778, 16587, 5, 545, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 1635, 9538, 834, 8547, 302, 3274, 96, 134, 2365, 3765, 121, 3430, 14798, 5, 9, 26, 5451, 834, 6137, 3274, 96, 5905, 517, 6431, 121, 1...
What is the 1st leg that has akasvayu girona as team #2?
CREATE TABLE table_name_37 ( team__number2 VARCHAR )
SELECT 1 AS st_leg FROM table_name_37 WHERE team__number2 = "akasvayu girona"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 372, 834, 834, 5525, 1152, 357, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 209, 7, 17, 4553, 24, 65, 3, 5667, 7, 900, 63, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 209, 6157, 3, 7, 17, 834, 5772, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 372, 834, 834, 5525, 1152, 357, 3274, 96, 5667, 7, 900, 63, 76, 3, 9427, 106, 9, 121, 1, -100, -100, -100, -100, -100, -100, -10...
In the game held at Arden Street Oval, what was the score of the home team?
CREATE TABLE table_name_23 (home_team VARCHAR, venue VARCHAR)
SELECT home_team AS score FROM table_name_23 WHERE venue = "arden street oval"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 86, 8, 467, 1213, 44, 22635, 35, 1887, 411, 2165, 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, 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, 2773, 549, 17444, 427, 5669, 3274, 96, 986, 35, 2815, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What number pick was Bill Athey?
CREATE TABLE table_70756 ( "Round" real, "Pick #" real, "Overall" real, "Name" text, "Position" text, "College" text )
SELECT "Pick #" FROM table_70756 WHERE "Name" = 'bill athey'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2518, 3072, 948, 41, 96, 448, 32, 1106, 121, 490, 6, 96, 345, 3142, 1713, 121, 490, 6, 96, 23847, 1748, 121, 490, 6, 96, 23954, 121, 1499, 6, 96, 345, 32, 7, 4749, 121,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 345, 3142, 1713, 121, 21680, 953, 834, 2518, 3072, 948, 549, 17444, 427, 96, 23954, 121, 3274, 3, 31, 3727, 40, 3, 9, 11056, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the course names, ordered by credits?
CREATE TABLE faculty ( facid number, lname text, fname text, rank text, sex text, phone number, room text, building text ) CREATE TABLE gradeconversion ( lettergrade text, gradepoint number ) CREATE TABLE enrolled_in ( stuid number, cid text, grade text ) CREATE TABLE department ( dno number, division text, dname text, room text, building text, dphone number ) CREATE TABLE course ( cid text, cname text, credits number, instructor number, days text, hours text, dno number ) CREATE TABLE minor_in ( stuid number, dno number ) CREATE TABLE member_of ( facid number, dno number, appt_type text ) CREATE TABLE student ( stuid number, lname text, fname text, age number, sex text, major number, advisor number, city_code text )
SELECT cname FROM course ORDER BY credits
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6040, 41, 7076, 26, 381, 6, 3, 40, 4350, 1499, 6, 3, 89, 4350, 1499, 6, 11003, 1499, 6, 3, 7, 994, 1499, 6, 951, 381, 6, 562, 1499, 6, 740, 1499, 3, 61, 3, 32102, 32103, 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, 3, 75, 4350, 21680, 503, 4674, 11300, 272, 476, 11893, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the surface for philadelphia
CREATE TABLE table_73490 ( "Outcome" text, "Year" real, "Championship" text, "Surface" text, "Opponent in the final" text, "Score in the final" text )
SELECT "Surface" FROM table_73490 WHERE "Championship" = 'Philadelphia'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4552, 591, 2394, 41, 96, 15767, 287, 15, 121, 1499, 6, 96, 476, 2741, 121, 490, 6, 96, 254, 1483, 12364, 2009, 121, 1499, 6, 96, 134, 450, 4861, 121, 1499, 6, 96, 667, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 450, 4861, 121, 21680, 953, 834, 4552, 591, 2394, 549, 17444, 427, 96, 254, 1483, 12364, 2009, 121, 3274, 3, 31, 23305, 15311, 11692, 9, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Find the titles of all movies not reviewed by Chris Jackson.
CREATE TABLE Rating ( mID VARCHAR, rID VARCHAR ) CREATE TABLE Movie ( title VARCHAR, mID VARCHAR ) CREATE TABLE Reviewer ( rID VARCHAR, name VARCHAR )
SELECT DISTINCT title FROM Movie EXCEPT SELECT T2.title FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID JOIN Reviewer AS T3 ON T1.rID = T3.rID WHERE T3.name = 'Chris Jackson'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 21662, 41, 3, 51, 4309, 584, 4280, 28027, 6, 3, 52, 4309, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 10743, 41, 2233, 584, 4280, 28027, 6, 3, 51, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15438, 25424, 6227, 2233, 21680, 10743, 262, 4, 30416, 3, 23143, 14196, 332, 4416, 21869, 21680, 21662, 6157, 332, 536, 3, 15355, 3162, 10743, 6157, 332, 357, 9191, 332, 5411, 51, 4309, 3274, 332, 4416, 51, 4309, 3...
Who was the away team when Brighton & Hove Albion was home?
CREATE TABLE table_name_95 ( away_team VARCHAR, home_team VARCHAR )
SELECT away_team FROM table_name_95 WHERE home_team = "brighton & hove albion"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 550, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 550, 372, 116, 25080, 3, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 550, 834, 11650, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 234, 834, 11650, 3274, 96, 115, 3535, 106, 3, 184, 3534, 162, 7046, 23, 106, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who made the decision when atlanta was the home team?
CREATE TABLE table_name_33 (decision VARCHAR, home VARCHAR)
SELECT decision FROM table_name_33 WHERE home = "atlanta"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 221, 18901, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 263, 8, 1357, 116, 44, 6761, 9, 47, 8, 234, 372, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1357, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 234, 3274, 96, 144, 6761, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the year opened for Chicagoland Speedway with a seating smaller than 75,000?
CREATE TABLE table_name_17 (year_opened INTEGER, track_name VARCHAR, seating VARCHAR)
SELECT AVG(year_opened) FROM table_name_17 WHERE track_name = "chicagoland speedway" AND seating < 75 OFFSET 000
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 1201, 834, 26940, 3, 21342, 17966, 6, 1463, 834, 4350, 584, 4280, 28027, 6, 10259, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 215, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 1201, 834, 26940, 61, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 1463, 834, 4350, 3274, 96, 1436, 658, 7579, 232, 1634, 1343, 121, 3430, 10259, 3, 2, 6374, 3, 15316, 20788, 6078, 1, -100, -10...
What is the description of the measure that got 39.57% yes votes?
CREATE TABLE table_256286_23 (description VARCHAR, _percentage_yes VARCHAR)
SELECT description FROM table_256286_23 WHERE _percentage_yes = "39.57%"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 4056, 3840, 834, 2773, 41, 221, 11830, 584, 4280, 28027, 6, 3, 834, 883, 3728, 545, 834, 10070, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 4210, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4210, 21680, 953, 834, 1828, 4056, 3840, 834, 2773, 549, 17444, 427, 3, 834, 883, 3728, 545, 834, 10070, 3274, 96, 519, 22321, 6170, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Find the female friends of Alice.
CREATE TABLE personfriend ( name text, friend text, year number ) CREATE TABLE person ( name text, age number, city text, gender text, job text )
SELECT T2.friend FROM person AS T1 JOIN personfriend AS T2 ON T1.name = T2.friend WHERE T2.name = 'Alice' AND T1.gender = 'female'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 568, 15504, 41, 564, 1499, 6, 1565, 1499, 6, 215, 381, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 568, 41, 564, 1499, 6, 1246, 381, 6, 690, 1499, 6, 7285, 1499, 6,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 332, 4416, 15504, 21680, 568, 6157, 332, 536, 3, 15355, 3162, 568, 15504, 6157, 332, 357, 9191, 332, 5411, 4350, 3274, 332, 4416, 15504, 549, 17444, 427, 332, 4416, 4350, 3274, 3, 31, 188, 2176, 15, 31, 3430, 332, 5...
Which time contains the jockery of isaac murphy as well as the winner of kingman?
CREATE TABLE table_name_39 ( time VARCHAR, jockey VARCHAR, winner VARCHAR )
SELECT time FROM table_name_39 WHERE jockey = "isaac murphy" AND winner = "kingman"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 97, 584, 4280, 28027, 6, 8624, 4397, 584, 4280, 28027, 6, 4668, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 97, 2579, 8, 8624, 2304, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 97, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 8624, 4397, 3274, 96, 159, 9, 9, 75, 9593, 6941, 121, 3430, 4668, 3274, 96, 1765, 348, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What film was filmed in Spain?
CREATE TABLE table_79889 ( "Category" text, "Film" text, "Director(s)" text, "Country" text, "Nominating Festival" text )
SELECT "Film" FROM table_79889 WHERE "Country" = 'spain'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 3916, 3914, 41, 96, 18610, 6066, 651, 121, 1499, 6, 96, 371, 173, 51, 121, 1499, 6, 96, 23620, 127, 599, 7, 61, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 416...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 173, 51, 121, 21680, 953, 834, 940, 3916, 3914, 549, 17444, 427, 96, 10628, 651, 121, 3274, 3, 31, 14147, 77, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...