NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
What is the nationality of the player from Round 2, Pick 19 from College of Kansas State?
CREATE TABLE table_10389 ( "Round" text, "Pick" text, "Player" text, "Position" text, "Nationality" text, "Team" text, "College" text )
SELECT "Nationality" FROM table_10389 WHERE "Round" = '2' AND "College" = 'kansas state' AND "Pick" = '19'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 17864, 3914, 41, 96, 448, 32, 1106, 121, 1499, 6, 96, 345, 3142, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 24732, 485, 121, 149...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17864, 3914, 549, 17444, 427, 96, 448, 32, 1106, 121, 3274, 3, 31, 357, 31, 3430, 96, 9939, 7883, 121, 3274, 3, 31, 3304, 7, 9, 7, 538, 31, 3430, 96, 345, 3142, 121, 3274, ...
For each zip code, return how many times max wind speed reached 25?
CREATE TABLE weather (zip_code VARCHAR, max_wind_Speed_mph VARCHAR)
SELECT zip_code, COUNT(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1969, 41, 13453, 834, 4978, 584, 4280, 28027, 6, 9858, 834, 5165, 834, 28328, 834, 7656, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 242, 284, 10658, 1081, 6, 1205, 149, 186, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 10658, 834, 4978, 6, 2847, 17161, 599, 1935, 61, 21680, 1969, 549, 17444, 427, 9858, 834, 5165, 834, 28328, 834, 7656, 2490, 2423, 944, 350, 4630, 6880, 272, 476, 10658, 834, 4978, 1, -100, -100, -100, -100, -100, -10...
What type of surface did they play on 23 October 2000?
CREATE TABLE table_name_67 (surface VARCHAR, date VARCHAR)
SELECT surface FROM table_name_67 WHERE date = "23 october 2000"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 26899, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 686, 13, 1774, 410, 79, 577, 30, 1902, 1797, 2766, 58, 1, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1774, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 833, 3274, 96, 2773, 3, 32, 75, 235, 1152, 2766, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the record when the game was at the San Diego Stadium?
CREATE TABLE table_17848578_1 (record VARCHAR, game_site VARCHAR)
SELECT record FROM table_17848578_1 WHERE game_site = "San Diego Stadium"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4608, 4433, 3940, 834, 536, 41, 60, 7621, 584, 4280, 28027, 6, 467, 834, 3585, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1368, 116, 8, 467, 47,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 2517, 4608, 4433, 3940, 834, 536, 549, 17444, 427, 467, 834, 3585, 3274, 96, 134, 152, 8851, 12750, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what are the minimum yearly number of patients diagnosed with failure to wean - due to elevated metabolic rate since 2104?
CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE intakeoutput ( intakeoutpu...
SELECT MIN(t1.c1) FROM (SELECT COUNT(DISTINCT diagnosis.patientunitstayid) AS c1 FROM diagnosis WHERE diagnosis.diagnosisname = 'failure to wean - due to elevated metabolic rate' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2104' GROUP BY STRFTIME('%y', diagnosis.diagnosistime)) AS t1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 8209, 41, 8209, 23, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 8209, 4350, 1499, 6, 8209, 715, 97, 6, 3, 447, 26, 1298, 4978, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17, 5411, 75, 6982, 21680, 41, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 8209, 5, 10061, 15129, 21545, 23, 26, 61, 6157, 3, 75, 536, 21680, 8209, 549, 17444, 427, 8209, 5, 25930, 4844, 159, ...
What is the highest number of wins for years after 1999 with averages over 73.02?
CREATE TABLE table_name_60 (wins INTEGER, average VARCHAR, year VARCHAR)
SELECT MAX(wins) FROM table_name_60 WHERE average > 73.02 AND year > 1999
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 3757, 7, 3, 21342, 17966, 6, 1348, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2030, 381, 13, 9204, 21, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 1348, 2490, 3, 4552, 5, 4305, 3430, 215, 2490, 5247, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many tourist arrivals occurred in 2011 in the country of Italy?
CREATE TABLE table_14752049_1 ( international_tourist_arrivals__2011_ VARCHAR, country VARCHAR )
SELECT international_tourist_arrivals__2011_ FROM table_14752049_1 WHERE country = "Italy"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24719, 25356, 3647, 834, 536, 41, 1038, 834, 17, 1211, 343, 834, 291, 25295, 7, 834, 834, 13907, 834, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1038, 834, 17, 1211, 343, 834, 291, 25295, 7, 834, 834, 13907, 834, 21680, 953, 834, 24719, 25356, 3647, 834, 536, 549, 17444, 427, 684, 3274, 96, 196, 17, 9, 120, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
Get me the number of patients who had a urine magnesium lab test.
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "Magnesium, Urine"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14798, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 564, 1499, 6, 2774, 1947, 834, 8547, 302, 1499, 6, 1246, 1499, 6, 103, 115, 1499, 6, 7285, 1499, 6, 1612, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 7690, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7690, 5, 8399, 51, 834, 23, 26, 549, 17444,...
known kidney stones
CREATE TABLE table_train_32 ( "id" int, "pregnancy_or_lactation" bool, "renal_disease" bool, "hemachromatosis" bool, "glucose_6_phosphate_dehydrogenase_deficiency_g6pd" int, "prisoners" bool, "NOUSE" float )
SELECT * FROM table_train_32 WHERE renal_disease = 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9719, 834, 2668, 41, 96, 23, 26, 121, 16, 17, 6, 96, 2026, 11260, 11298, 834, 127, 834, 9700, 6821, 121, 3, 12840, 40, 6, 96, 1536, 138, 834, 26, 159, 14608, 121, 3, 12...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1429, 21680, 953, 834, 9719, 834, 2668, 549, 17444, 427, 23328, 834, 26, 159, 14608, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In which venue did the home team score 11.13 (79)?
CREATE TABLE table_10814 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT "Venue" FROM table_10814 WHERE "Home team score" = '11.13 (79)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 16169, 2534, 41, 96, 19040, 372, 121, 1499, 6, 96, 19040, 372, 2604, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 188, 1343, 372, 2604, 121, 1499, 6, 96, 553, 35, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 553, 35, 76, 15, 121, 21680, 953, 834, 16169, 2534, 549, 17444, 427, 96, 19040, 372, 2604, 121, 3274, 3, 31, 10032, 2368, 41, 4440, 61, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What year was incumbent jim ramstad first elected?
CREATE TABLE table_679 ( "District" text, "Incumbent" text, "Party" text, "First elected" real, "Results" text, "Candidatess" text )
SELECT MIN("First elected") FROM table_679 WHERE "Incumbent" = 'Jim Ramstad'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 948, 4440, 41, 96, 308, 23, 20066, 121, 1499, 6, 96, 1570, 75, 5937, 295, 121, 1499, 6, 96, 13725, 63, 121, 1499, 6, 96, 25171, 8160, 121, 490, 6, 96, 20119, 7, 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, 3, 17684, 599, 121, 25171, 8160, 8512, 21680, 953, 834, 948, 4440, 549, 17444, 427, 96, 1570, 75, 5937, 295, 121, 3274, 3, 31, 683, 603, 4425, 2427, 26, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest time for Paulo Villar in lane 9?
CREATE TABLE table_name_85 (time INTEGER, athlete VARCHAR, lane VARCHAR)
SELECT MIN(time) FROM table_name_85 WHERE athlete = "paulo villar" AND lane < 9
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 715, 3, 21342, 17966, 6, 17893, 584, 4280, 28027, 6, 3, 8102, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 7402, 97, 21, 1838, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 715, 61, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 17893, 3274, 96, 102, 9, 83, 32, 12159, 52, 121, 3430, 3, 8102, 3, 2, 668, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
On which week was the opponent the oakland raiders?
CREATE TABLE table_name_91 (week INTEGER, opponent VARCHAR)
SELECT SUM(week) FROM table_name_91 WHERE opponent = "oakland raiders"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 8041, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 461, 84, 471, 47, 8, 15264, 8, 11586, 40, 232, 15941, 277, 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, 180, 6122, 599, 8041, 61, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 15264, 3274, 96, 32, 1639, 40, 232, 15941, 277, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In what season was Kilmarnock a finalist and Hibernian the winner?
CREATE TABLE table_name_75 (season VARCHAR, winners VARCHAR, finalists VARCHAR)
SELECT season FROM table_name_75 WHERE winners = "hibernian" AND finalists = "kilmarnock"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 9476, 584, 4280, 28027, 6, 8969, 584, 4280, 28027, 6, 3, 28077, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 86, 125, 774, 47, 12672, 1635, 29, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 774, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 8969, 3274, 96, 107, 23, 1152, 15710, 121, 3430, 3, 28077, 3274, 96, 157, 173, 1635, 29, 3961, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who is the rider for Honda with a grid of 25?
CREATE TABLE table_name_72 ( rider VARCHAR, manufacturer VARCHAR, grid VARCHAR )
SELECT rider FROM table_name_72 WHERE manufacturer = "honda" AND grid = "25"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 2564, 52, 584, 4280, 28027, 6, 4818, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 19, 8, 2564, 52, 21, 1288...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2564, 52, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 4818, 3274, 96, 31782, 121, 3430, 8634, 3274, 96, 1828, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which player finished at +10?
CREATE TABLE table_76900 ( "Player" text, "Country" text, "Year(s) won" text, "Total" real, "To par" text, "Finish" text )
SELECT "Player" FROM table_76900 WHERE "To par" = '+10'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3959, 7015, 41, 96, 15800, 49, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 476, 2741, 599, 7, 61, 751, 121, 1499, 6, 96, 3696, 1947, 121, 490, 6, 96, 3696, 260, 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, 15800, 49, 121, 21680, 953, 834, 3959, 7015, 549, 17444, 427, 96, 3696, 260, 121, 3274, 3, 31, 1220, 1714, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the share (%) for the Semi-Final 2 episode?
CREATE TABLE table_74091 ( "Episode" text, "Date" text, "Official ITV1 rating (millions)" text, "Weekly rank" real, "Share (%)" text, "Official ITV1 HD rating (millions)" text, "Total ITV1 viewers (millions)" text )
SELECT "Share (%)" FROM table_74091 WHERE "Episode" = 'Semi-final 2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4581, 4198, 536, 41, 96, 427, 102, 159, 32, 221, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 89, 22816, 27, 4562, 536, 5773, 41, 17030, 7, 61, 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, 24501, 41, 6210, 121, 21680, 953, 834, 4581, 4198, 536, 549, 17444, 427, 96, 427, 102, 159, 32, 221, 121, 3274, 3, 31, 134, 15, 51, 23, 18, 12406, 204, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the leading scorer for 1 april 2008
CREATE TABLE table_name_82 (leading_scorer VARCHAR, date VARCHAR)
SELECT leading_scorer FROM table_name_82 WHERE date = "1 april 2008"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 17103, 834, 7, 5715, 49, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 1374, 2604, 52, 21, 209, 3, 9, 2246, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1374, 834, 7, 5715, 49, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 833, 3274, 96, 536, 3, 9, 2246, 40, 2628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What place has Canada as the country?
CREATE TABLE table_15543 ( "Place" text, "Player" text, "Country" text, "Score" real, "To par" text )
SELECT "Place" FROM table_15543 WHERE "Country" = 'canada'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20896, 4906, 41, 96, 345, 11706, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 134, 9022, 121, 490, 6, 96, 3696, 260, 121, 1499, 3, 61, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 96, 345, 11706, 121, 21680, 953, 834, 20896, 4906, 549, 17444, 427, 96, 10628, 651, 121, 3274, 3, 31, 658, 18089, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which railway has a class of 250 and year 1936?
CREATE TABLE table_5682 ( "Gauge" text, "Railway" text, "Class" text, "Works no." text, "Year" text, "Builder" text )
SELECT "Railway" FROM table_5682 WHERE "Class" = '250' AND "Year" = '1936'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4834, 4613, 41, 96, 517, 9, 12972, 121, 1499, 6, 96, 448, 9, 173, 1343, 121, 1499, 6, 96, 21486, 121, 1499, 6, 96, 12492, 7, 150, 535, 1499, 6, 96, 476, 2741, 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, 448, 9, 173, 1343, 121, 21680, 953, 834, 4834, 4613, 549, 17444, 427, 96, 21486, 121, 3274, 3, 31, 11434, 31, 3430, 96, 476, 2741, 121, 3274, 3, 31, 2294, 3420, 31, 1, -100, -100, -100, -100, -100, -100, -100,...
Display a bar chart for what is the code of each location and the number of documents in that location?
CREATE TABLE Ref_Locations ( Location_Code CHAR(15), Location_Name VARCHAR(255), Location_Description VARCHAR(255) ) CREATE TABLE Ref_Calendar ( Calendar_Date DATETIME, Day_Number INTEGER ) CREATE TABLE Roles ( Role_Code CHAR(15), Role_Name VARCHAR(255), Role_Description VARCHAR(255) )...
SELECT Location_Code, COUNT(*) FROM Document_Locations GROUP BY Location_Code
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 419, 89, 834, 434, 32, 75, 1628, 41, 10450, 834, 22737, 3, 28027, 599, 1808, 201, 10450, 834, 23954, 584, 4280, 28027, 599, 25502, 201, 10450, 834, 2962, 11830, 584, 4280, 28027, 599, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 10450, 834, 22737, 6, 2847, 17161, 599, 1935, 61, 21680, 11167, 834, 434, 32, 75, 1628, 350, 4630, 6880, 272, 476, 10450, 834, 22737, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who was the visiting team on December 6?
CREATE TABLE table_name_31 (visiting_team VARCHAR, date VARCHAR)
SELECT visiting_team FROM table_name_31 WHERE date = "december 6"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 3466, 155, 53, 834, 11650, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 3644, 372, 30, 1882, 431, 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, 3644, 834, 11650, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 833, 3274, 96, 221, 75, 18247, 431, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the score of the Mariners game when they had a record of 56 21?
CREATE TABLE table_78366 ( "Date" text, "Opponent" text, "Score" text, "Loss" text, "Save" text, "Attendance" text, "Record" text )
SELECT "Score" FROM table_78366 WHERE "Record" = '56–21'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3940, 519, 3539, 41, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 434, 32, 7, 7, 121, 1499, 6, 96, 23163, 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, 134, 9022, 121, 21680, 953, 834, 3940, 519, 3539, 549, 17444, 427, 96, 1649, 7621, 121, 3274, 3, 31, 4834, 104, 2658, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How long was the walk numbered at 17?
CREATE TABLE table_14125006_1 (total_time_hours VARCHAR, number VARCHAR)
SELECT total_time_hours AS :minutes FROM table_14125006_1 WHERE number = 17
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26059, 11434, 5176, 834, 536, 41, 235, 1947, 834, 715, 834, 5842, 7, 584, 4280, 28027, 6, 381, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 307, 47, 8, 1482, 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, 792, 834, 715, 834, 5842, 7, 6157, 3, 10, 6890, 7, 21680, 953, 834, 26059, 11434, 5176, 834, 536, 549, 17444, 427, 381, 3274, 1003, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Show the hometown of all members.
CREATE TABLE membership_register_branch ( Member_ID int, Branch_ID text, Register_Year text ) CREATE TABLE purchase ( Member_ID int, Branch_ID text, Year text, Total_pounds real ) CREATE TABLE member ( Member_ID int, Card_Number text, Name text, Hometown text, Level int...
SELECT Hometown, COUNT(Hometown) FROM member GROUP BY Hometown
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4757, 834, 22149, 834, 1939, 5457, 41, 8541, 834, 4309, 16, 17, 6, 14009, 834, 4309, 1499, 6, 12306, 834, 476, 2741, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1210, 3540, 6, 2847, 17161, 599, 19040, 3540, 61, 21680, 1144, 350, 4630, 6880, 272, 476, 1210, 3540, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the score of Tie number 11?
CREATE TABLE table_63322 ( "Tie no" text, "Home team" text, "Score" text, "Away team" text, "Date" text )
SELECT "Score" FROM table_63322 WHERE "Tie no" = '11'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3891, 2668, 357, 41, 96, 382, 23, 15, 150, 121, 1499, 6, 96, 19040, 372, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 308, 342, 121,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 9022, 121, 21680, 953, 834, 3891, 2668, 357, 549, 17444, 427, 96, 382, 23, 15, 150, 121, 3274, 3, 31, 2596, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which genbank id's variant is abd1a?
CREATE TABLE table_41750 ( "Variant id" text, "5\u2019UTR splice" text, "Coding" text, "3\u2019UTR sequence" text, "GenBank id" text )
SELECT "GenBank id" FROM table_41750 WHERE "Variant id" = 'abd1a'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4853, 9979, 41, 96, 553, 6855, 17, 3, 23, 26, 121, 1499, 6, 96, 755, 2, 76, 8584, 6675, 448, 3, 7, 10435, 15, 121, 1499, 6, 96, 3881, 26, 53, 121, 1499, 6, 96, 519, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 13714, 21347, 3, 23, 26, 121, 21680, 953, 834, 4853, 9979, 549, 17444, 427, 96, 553, 6855, 17, 3, 23, 26, 121, 3274, 3, 31, 9, 115, 26, 536, 9, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Just compare the number of journal committees of each editor using a histogram, show bar in ascending order.
CREATE TABLE journal_committee ( Editor_ID int, Journal_ID int, Work_Type text ) CREATE TABLE editor ( Editor_ID int, Name text, Age real ) CREATE TABLE journal ( Journal_ID int, Date text, Theme text, Sales int )
SELECT Name, COUNT(*) FROM editor AS T1 JOIN journal_committee AS T2 ON T1.Editor_ID = T2.Editor_ID GROUP BY T1.Editor_ID ORDER BY Name
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6378, 834, 287, 1538, 17, 15, 15, 41, 11953, 834, 4309, 16, 17, 6, 3559, 834, 4309, 16, 17, 6, 3118, 834, 25160, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 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, 5570, 6, 2847, 17161, 599, 1935, 61, 21680, 6005, 6157, 332, 536, 3, 15355, 3162, 6378, 834, 287, 1538, 17, 15, 15, 6157, 332, 357, 9191, 332, 5411, 26527, 127, 834, 4309, 3274, 332, 4416, 26527, 127, 834, 4309, 350...
what 1989 has 2002 of 4r and 2005 of 4r?
CREATE TABLE table_name_22 (Id VARCHAR)
SELECT 1989 FROM table_name_22 WHERE 2002 = "4r" AND 2005 = "4r"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 196, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 125, 9975, 65, 4407, 13, 314, 52, 11, 3105, 13, 314, 52, 58, 1, 0, 0, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9975, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 4407, 3274, 96, 591, 52, 121, 3430, 3105, 3274, 96, 591, 52, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Team, when Qual 1 is 1:16.417?
CREATE TABLE table_name_65 (team VARCHAR, qual_1 VARCHAR)
SELECT team FROM table_name_65 WHERE qual_1 = "1:16.417"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 11650, 584, 4280, 28027, 6, 3, 11433, 834, 536, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 2271, 6, 116, 2415, 138, 209, 19, 19520, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4350, 834, 4122, 549, 17444, 427, 3, 11433, 834, 536, 3274, 96, 536, 10, 536, 27869, 2517, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many patients that survived were diagnosed with primary disease syncope, telemetry?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) ...
SELECT AVG(demographic.age) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.diagnosis = "SYNCOPE;TELEMETRY"
[ 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, 71, 17217, 599, 1778, 16587, 5, 545, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 994, 2388, 15, 834, 89, 5430, 3274, 96, 632, 121, 3430, 14798, 5, 25930, 4844, 159, 3274, 96, 134, 476, 567, 25032, 427, 117, 382, ...
How many Parishes in Merrimack which has 4 Cemeteries?
CREATE TABLE table_name_62 ( parishes INTEGER, pastoral_region VARCHAR, cemeteries VARCHAR )
SELECT MIN(parishes) FROM table_name_62 WHERE pastoral_region = "merrimack" AND cemeteries < 4
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 14961, 15, 7, 3, 21342, 17966, 6, 27213, 834, 18145, 584, 4280, 28027, 6, 197, 4401, 725, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 1893, 1273, 15, 7, 61, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 27213, 834, 18145, 3274, 96, 935, 5397, 4365, 121, 3430, 197, 4401, 725, 3, 2, 314, 1, -100, -100, -100, -100, -100, -100, -...
Draw a pie chart for what are the proportion of the teams in elimination?
CREATE TABLE Elimination ( Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text ) CREATE TABLE wrestler ( Wrestler_ID int, Name text, Reign text, Days_held text, Location text, Event text )
SELECT Team, COUNT(Team) FROM Elimination GROUP BY Team
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7495, 14484, 41, 7495, 14484, 834, 4309, 1499, 6, 549, 6216, 1171, 834, 4309, 1499, 6, 2271, 1499, 6, 7495, 1109, 920, 834, 279, 63, 1499, 6, 7495, 14484, 834, 329, 32, 162, 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, 2271, 6, 2847, 17161, 599, 18699, 61, 21680, 7495, 14484, 350, 4630, 6880, 272, 476, 2271, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the cargo value in 2004 for ship size?
CREATE TABLE table_42583 ( "Ship size" text, "Cargo" text, "2004" text, "2005" text, "2006" text )
SELECT "2004" FROM table_42583 WHERE "Ship size" = 'ship size'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 1828, 4591, 41, 96, 134, 10462, 812, 121, 1499, 6, 96, 6936, 839, 121, 1499, 6, 96, 21653, 121, 1499, 6, 96, 22594, 121, 1499, 6, 96, 21196, 121, 1499, 3, 61, 3, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 96, 21653, 121, 21680, 953, 834, 591, 1828, 4591, 549, 17444, 427, 96, 134, 10462, 812, 121, 3274, 3, 31, 2009, 812, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who had the lowest laps on a grid smaller than 16 with a time of +21.689?
CREATE TABLE table_name_27 ( laps INTEGER, grid VARCHAR, time VARCHAR )
SELECT MIN(laps) FROM table_name_27 WHERE grid < 16 AND time = "+21.689"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 14941, 7, 3, 21342, 17966, 6, 8634, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 141, 8, 7402, 14941, 7, 30, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 8478, 7, 61, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 8634, 3, 2, 898, 3430, 97, 3274, 96, 1220, 357, 15062, 3914, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When was Catalog CHD-9192 published?
CREATE TABLE table_name_66 ( date VARCHAR, catalog VARCHAR )
SELECT date FROM table_name_66 WHERE catalog = "chd-9192"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 833, 584, 4280, 28027, 6, 10173, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 366, 47, 22424, 205, 11083, 7141, 19978, 1790, 58, 1, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 10173, 3274, 96, 524, 26, 7141, 19978, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the high points for march 7
CREATE TABLE table_15780049_8 ( high_points VARCHAR, date VARCHAR )
SELECT high_points FROM table_15780049_8 WHERE date = "March 7"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27452, 6192, 3647, 834, 927, 41, 306, 834, 2700, 7, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 306, 979, 21, 10556, 489, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 306, 834, 2700, 7, 21680, 953, 834, 27452, 6192, 3647, 834, 927, 549, 17444, 427, 833, 3274, 96, 25019, 489, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What are the names of companies with revenue less than the lowest revenue of any manufacturer in Austin?
CREATE TABLE products ( code number, name text, price number, manufacturer number ) CREATE TABLE manufacturers ( code number, name text, headquarter text, founder text, revenue number )
SELECT name FROM manufacturers WHERE revenue < (SELECT MIN(revenue) FROM manufacturers WHERE headquarter = 'Austin')
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 494, 41, 1081, 381, 6, 564, 1499, 6, 594, 381, 6, 4818, 381, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 5360, 41, 1081, 381, 6, 564, 1499, 6, 819, 19973, 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, 564, 21680, 5360, 549, 17444, 427, 3751, 3, 2, 41, 23143, 14196, 3, 17684, 599, 60, 15098, 61, 21680, 5360, 549, 17444, 427, 819, 19973, 3274, 3, 31, 14934, 17, 77, 31, 61, 1, -100, -100, -100, -100, -100, -100, -...
Which film has a role named Taylor?
CREATE TABLE table_name_68 ( film VARCHAR, role VARCHAR )
SELECT film FROM table_name_68 WHERE role = "taylor"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 814, 584, 4280, 28027, 6, 1075, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 814, 65, 3, 9, 1075, 2650, 7909, 58, 1, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 814, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 1075, 3274, 96, 17, 9, 63, 322, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the first state after delhi ?
CREATE TABLE table_203_562 ( id number, "state" text, "no. of candidates" number, "no. of elected" number, "total no. of seats in assembly" number, "year of election" number )
SELECT "state" FROM table_203_562 WHERE id = (SELECT id FROM table_203_562 WHERE "state" = 'delhi') + 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 4834, 357, 41, 3, 23, 26, 381, 6, 96, 5540, 121, 1499, 6, 96, 29, 32, 5, 13, 4341, 121, 381, 6, 96, 29, 32, 5, 13, 8160, 121, 381, 6, 96, 235, 1947, 150...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5540, 121, 21680, 953, 834, 23330, 834, 4834, 357, 549, 17444, 427, 3, 23, 26, 3274, 41, 23143, 14196, 3, 23, 26, 21680, 953, 834, 23330, 834, 4834, 357, 549, 17444, 427, 96, 5540, 121, 3274, 3, 31, 221, 40, ...
give me the number of patients whose primary disease is mesenteric ischemia?
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "MESENTERIC ISCHEMIA"
[ 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, 25930, 4844, 159, 3274, 96, 22759, 6431, 427, 23503, 27, 20557, 25284, 188, 121, 1, -100, -100, -1...
Who won with a majority more than 6,181 and J W Andrews as runner up?
CREATE TABLE table_10896 ( "Electorate" text, "Incumbent" text, "Winner" text, "Majority" real, "Runner up" text )
SELECT "Winner" FROM table_10896 WHERE "Majority" > '6,181' AND "Runner up" = 'j w andrews'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 16169, 4314, 41, 96, 21543, 127, 342, 121, 1499, 6, 96, 1570, 75, 5937, 295, 121, 1499, 6, 96, 18455, 687, 121, 1499, 6, 96, 329, 9, 12775, 485, 121, 490, 6, 96, 23572, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 16169, 4314, 549, 17444, 427, 96, 329, 9, 12775, 485, 121, 2490, 3, 31, 11071, 2606, 536, 31, 3430, 96, 23572, 95, 121, 3274, 3, 31, 354, 3, 210, 11, 60, 210, 7, 31, 1, -1...
Name the tongyong for chinese of
CREATE TABLE table_17015_2 ( tongyong VARCHAR, chinese VARCHAR )
SELECT tongyong FROM table_17015_2 WHERE chinese = "湖內區"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 536, 2518, 1808, 834, 357, 41, 12, 1725, 63, 2444, 584, 4280, 28027, 6, 3, 1436, 1496, 15, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 12, 1725, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 12, 1725, 63, 2444, 21680, 953, 834, 536, 2518, 1808, 834, 357, 549, 17444, 427, 3, 1436, 1496, 15, 3274, 96, 2, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
who directed with original air date being november18,1995
CREATE TABLE table_19473 ( "No. in series" real, "Title" text, "Written by" text, "Directed by" text, "Original air date" text, "TV broadcast" text )
SELECT "Directed by" FROM table_19473 WHERE "Original air date" = 'November18,1995'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 4177, 519, 41, 96, 4168, 5, 16, 939, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 24965, 324, 57, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 66...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 23620, 15, 26, 57, 121, 21680, 953, 834, 2294, 4177, 519, 549, 17444, 427, 96, 667, 3380, 10270, 799, 833, 121, 3274, 3, 31, 28635, 2606, 6, 2294, 3301, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many silver for the team with more than 2 bronze and more than 7 gold?
CREATE TABLE table_50472 ( "Rank" real, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT COUNT("Silver") FROM table_50472 WHERE "Bronze" > '2' AND "Gold" > '7'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1752, 4177, 357, 41, 96, 22557, 121, 490, 6, 96, 23576, 121, 490, 6, 96, 134, 173, 624, 121, 490, 6, 96, 22780, 29, 776, 121, 490, 6, 96, 3696, 1947, 121, 490, 3, 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, 2847, 17161, 599, 121, 134, 173, 624, 8512, 21680, 953, 834, 1752, 4177, 357, 549, 17444, 427, 96, 22780, 29, 776, 121, 2490, 3, 31, 357, 31, 3430, 96, 23576, 121, 2490, 3, 31, 940, 31, 1, -100, -100, -100, -100, ...
Tell me the average week for result of l 34 24
CREATE TABLE table_name_70 ( week INTEGER, result VARCHAR )
SELECT AVG(week) FROM table_name_70 WHERE result = "l 34–24"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 471, 3, 21342, 17966, 6, 741, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 8779, 140, 8, 1348, 471, 21, 741, 13, 3, 40, 6154, 997, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 8041, 61, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 741, 3274, 96, 40, 6154, 104, 2266, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the date of game 59?
CREATE TABLE table_name_96 (date VARCHAR, game VARCHAR)
SELECT date FROM table_name_96 WHERE game = 59
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 5522, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 833, 13, 467, 3, 3390, 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, 833, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 467, 3274, 3, 3390, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many l's are there for the skip with 3 for w?
CREATE TABLE table_3394 ( "Skip (Club)" text, "W" real, "L" real, "PF" real, "PA" real, "Ends Won" real, "Ends Lost" real, "Blank Ends" real, "Stolen Ends" real )
SELECT MAX("L") FROM table_3394 WHERE "W" = '3'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4201, 4240, 41, 96, 134, 2168, 102, 41, 254, 11158, 61, 121, 1499, 6, 96, 518, 121, 490, 6, 96, 434, 121, 490, 6, 96, 12017, 121, 490, 6, 96, 3965, 121, 490, 6, 96, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 434, 8512, 21680, 953, 834, 4201, 4240, 549, 17444, 427, 96, 518, 121, 3274, 3, 31, 519, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What services were in the area of operation Wadi Borjuj?
CREATE TABLE table_name_2 (services VARCHAR, area_of_operation VARCHAR)
SELECT services FROM table_name_2 WHERE area_of_operation = "wadi borjuj"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 5114, 7, 584, 4280, 28027, 6, 616, 834, 858, 834, 22280, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 364, 130, 16, 8, 616, 13, 2986, 3129,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 364, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 616, 834, 858, 834, 22280, 3274, 96, 210, 9, 26, 23, 3, 6693, 2047, 354, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the rating of the restaurant Subway?
CREATE TABLE Restaurant (Rating VARCHAR, ResName VARCHAR)
SELECT Rating FROM Restaurant WHERE ResName = "Subway"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6233, 41, 448, 1014, 584, 4280, 28027, 6, 7127, 23954, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 5773, 13, 8, 2062, 3325, 1343, 58, 1, 0, 0, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 21662, 21680, 6233, 549, 17444, 427, 7127, 23954, 3274, 96, 25252, 1343, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the game number when the opposing team was the Buffalo Sabres?
CREATE TABLE table_23486853_6 (game INTEGER, opponent VARCHAR)
SELECT MIN(game) FROM table_23486853_6 WHERE opponent = "Buffalo Sabres"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 3707, 3651, 4867, 834, 948, 41, 7261, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 467, 381, 116, 8, 10720, 53, 372, 47...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 7261, 61, 21680, 953, 834, 2773, 3707, 3651, 4867, 834, 948, 549, 17444, 427, 15264, 3274, 96, 279, 2999, 138, 32, 11315, 60, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which team had game 3?
CREATE TABLE table_name_73 ( team VARCHAR, game VARCHAR )
SELECT team FROM table_name_73 WHERE game = 3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 372, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 372, 141, 467, 220, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 467, 3274, 220, 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, ...
When Pat Robertson had 19%, and Bob Dole had 26%, what did George H.W. Bush have?
CREATE TABLE table_36259 ( "Date" text, "State" text, "George H.W. Bush" text, "Bob Dole" text, "Pat Robertson" text, "Jack Kemp" text, "Pete du Pont" text )
SELECT "George H.W. Bush" FROM table_36259 WHERE "Pat Robertson" = '19%' AND "Bob Dole" = '26%'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3420, 357, 3390, 41, 96, 308, 342, 121, 1499, 6, 96, 134, 4748, 121, 1499, 6, 96, 31317, 454, 5, 518, 5, 8905, 121, 1499, 6, 96, 279, 32, 115, 531, 109, 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, 31317, 454, 5, 518, 5, 8905, 121, 21680, 953, 834, 3420, 357, 3390, 549, 17444, 427, 96, 345, 144, 2715, 739, 121, 3274, 3, 31, 2294, 1454, 31, 3430, 96, 279, 32, 115, 531, 109, 121, 3274, 3, 31, 357, 6370, ...
Name the island with age ma of 1.0
CREATE TABLE table_67740 ( "Island" text, "Nickname" text, "Area" text, "Population (as of 2010)" real, "Highest point" text, "Elevation" text, "Age ( Ma )" text )
SELECT "Island" FROM table_67740 WHERE "Age ( Ma )" = '1.0'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3708, 940, 2445, 41, 96, 196, 7, 40, 232, 121, 1499, 6, 96, 567, 3142, 4350, 121, 1499, 6, 96, 188, 864, 121, 1499, 6, 96, 27773, 7830, 41, 9, 7, 13, 2735, 61, 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, 96, 196, 7, 40, 232, 121, 21680, 953, 834, 3708, 940, 2445, 549, 17444, 427, 96, 188, 397, 41, 1534, 3, 61, 121, 3274, 3, 31, 12734, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the HDTV that has television service of tv 8 mont blanc and content is general television?
CREATE TABLE table_name_26 (hdtv VARCHAR, content VARCHAR, television_service VARCHAR)
SELECT hdtv FROM table_name_26 WHERE content = "general television" AND television_service = "tv 8 mont blanc"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 107, 26, 17, 208, 584, 4280, 28027, 6, 738, 584, 4280, 28027, 6, 4390, 834, 5114, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 3726...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 3, 107, 26, 17, 208, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 738, 3274, 96, 27369, 4390, 121, 3430, 4390, 834, 5114, 3274, 96, 17, 208, 505, 6278, 8753, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
What's the 2008 when 1R happened in 2009?
CREATE TABLE table_name_5 ( Id VARCHAR )
SELECT 2008 FROM table_name_5 WHERE 2009 = "1r"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 27, 26, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, 2628, 116, 209, 448, 2817, 16, 2464, 58, 1, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2628, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 2464, 3274, 96, 536, 52, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many numbers are there for August when March is 139?
CREATE TABLE table_25235489_2 (august_21_22 VARCHAR, march_27_29 VARCHAR)
SELECT COUNT(august_21_22) FROM table_25235489_2 WHERE march_27_29 = "139"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 2773, 5062, 3914, 834, 357, 41, 402, 17198, 834, 2658, 834, 2884, 584, 4280, 28027, 6, 10556, 834, 2555, 834, 3166, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 402, 17198, 834, 2658, 834, 2884, 61, 21680, 953, 834, 1828, 2773, 5062, 3914, 834, 357, 549, 17444, 427, 10556, 834, 2555, 834, 3166, 3274, 96, 24090, 121, 1, -100, -100, -100, -100, -100, -100, -10...
What's the NHL team that drafted the player from Sudbury Wolves (OHA)?
CREATE TABLE table_1965650_4 (nhl_team VARCHAR, college_junior_club_team VARCHAR)
SELECT nhl_team FROM table_1965650_4 WHERE college_junior_club_team = "Sudbury Wolves (OHA)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 4122, 15348, 834, 591, 41, 29, 107, 40, 834, 11650, 584, 4280, 28027, 6, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 584, 4280, 28027, 61, 3, 32102, 32103, 32101,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 29, 107, 40, 834, 11650, 21680, 953, 834, 2294, 4122, 15348, 834, 591, 549, 17444, 427, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 3274, 96, 134, 76, 26, 7165, 3488, 8391, 41, 9195, 188, 61, 121, 1, -100...
What opponent has 2011/12 as the season?
CREATE TABLE table_35613 ( "Rank" text, "Margin" text, "Opponent" text, "Venue" text, "Season" text )
SELECT "Opponent" FROM table_35613 WHERE "Season" = '2011/12'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2469, 4241, 519, 41, 96, 22557, 121, 1499, 6, 96, 7286, 122, 77, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 134, 15, 9, 73...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 667, 102, 9977, 121, 21680, 953, 834, 2469, 4241, 519, 549, 17444, 427, 96, 134, 15, 9, 739, 121, 3274, 3, 31, 13907, 18009, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Date has a Score of 6 1, 6 2?
CREATE TABLE table_name_76 ( date VARCHAR, score VARCHAR )
SELECT date FROM table_name_76 WHERE score = "6–1, 6–2"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 833, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 7678, 65, 3, 9, 17763, 13, 431, 1914, 431, 204, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 2604, 3274, 96, 948, 104, 4347, 431, 104, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the title of the episode directed by Romeo Tirone?
CREATE TABLE table_26961951_6 ( title VARCHAR, directed_by VARCHAR )
SELECT title FROM table_26961951_6 WHERE directed_by = "Romeo Tirone"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 4314, 2294, 5553, 834, 948, 41, 2233, 584, 4280, 28027, 6, 6640, 834, 969, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2233, 13, 8, 5640, 6640...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2233, 21680, 953, 834, 2688, 4314, 2294, 5553, 834, 948, 549, 17444, 427, 6640, 834, 969, 3274, 96, 448, 7159, 32, 332, 17773, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the athlete that covered biking within 58:52?
CREATE TABLE table_17085947_32 ( athlete VARCHAR, bike__40km_ VARCHAR )
SELECT athlete FROM table_17085947_32 WHERE bike__40km_ = "58:52"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4018, 3390, 4177, 834, 2668, 41, 17893, 584, 4280, 28027, 6, 3724, 834, 834, 2445, 5848, 834, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 17893...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17893, 21680, 953, 834, 2517, 4018, 3390, 4177, 834, 2668, 549, 17444, 427, 3724, 834, 834, 2445, 5848, 834, 3274, 96, 3449, 10, 5373, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the number of directors for the film title Eldra?
CREATE TABLE table_26385848_1 ( director VARCHAR, film_title VARCHAR )
SELECT COUNT(director) FROM table_26385848_1 WHERE film_title = "Eldra"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 3747, 3449, 3707, 834, 536, 41, 2090, 584, 4280, 28027, 6, 814, 834, 21869, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 381, 13, 10392, 21, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 25982, 61, 21680, 953, 834, 2688, 3747, 3449, 3707, 834, 536, 549, 17444, 427, 814, 834, 21869, 3274, 96, 10991, 3515, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which visitor has detroit as the home, and february 24 as the date?
CREATE TABLE table_name_76 (visitor VARCHAR, home VARCHAR, date VARCHAR)
SELECT visitor FROM table_name_76 WHERE home = "detroit" AND date = "february 24"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 3466, 155, 127, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 7019, 65, 3, 26, 15252, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7019, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 234, 3274, 96, 26, 15252, 155, 121, 3430, 833, 3274, 96, 89, 15, 9052, 1208, 997, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What notes have 2 as the rank?
CREATE TABLE table_64416 ( "Rank" real, "Rowers" text, "Country" text, "Time" text, "Notes" text )
SELECT "Notes" FROM table_64416 WHERE "Rank" = '2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4389, 591, 2938, 41, 96, 22557, 121, 490, 6, 96, 448, 2381, 277, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 13368, 121, 1499, 6, 96, 10358, 15, 7, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 96, 10358, 15, 7, 121, 21680, 953, 834, 4389, 591, 2938, 549, 17444, 427, 96, 22557, 121, 3274, 3, 31, 357, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What engine had a JBW chassis in 1960?
CREATE TABLE table_name_49 (engine VARCHAR, chassis VARCHAR, year VARCHAR)
SELECT engine FROM table_name_49 WHERE chassis = "jbw" AND year = 1960
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 20165, 584, 4280, 28027, 6, 22836, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 1948, 141, 3, 9, 446, 279, 518, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1948, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 22836, 3274, 96, 354, 115, 210, 121, 3430, 215, 3274, 8754, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Where was the combat of 2009-09-16?
CREATE TABLE table_name_80 (location VARCHAR, circumstances VARCHAR, date VARCHAR)
SELECT location FROM table_name_80 WHERE circumstances = "combat" AND date = "2009-09-16"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 14836, 584, 4280, 28027, 6, 4616, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2840, 47, 8, 4719, 13, 2464, 18, 4198, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1128, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 4616, 3274, 96, 287, 3697, 121, 3430, 833, 3274, 96, 16660, 18, 4198, 10892, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
When was the episode titled 'The Parachute of Healing' originally aired?
CREATE TABLE table_23103 ( "Season #" real, "Episode #" real, "Title" text, "Director(s)" text, "Writer(s)" text, "Original Air Date" text )
SELECT "Original Air Date" FROM table_23103 WHERE "Title" = 'The Parachute of Healing'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 17864, 41, 96, 134, 15, 9, 739, 1713, 121, 490, 6, 96, 427, 102, 159, 32, 221, 1713, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 127, 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, 1...
[ 3, 23143, 14196, 96, 667, 3380, 10270, 1761, 7678, 121, 21680, 953, 834, 2773, 17864, 549, 17444, 427, 96, 382, 155, 109, 121, 3274, 3, 31, 634, 4734, 524, 2810, 13, 24969, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What home team has a score of 2 1, when the away team was Telford United?
CREATE TABLE table_62189 ( "Tie no" text, "Home team" text, "Score" text, "Away team" text, "Date" text )
SELECT "Home team" FROM table_62189 WHERE "Score" = '2–1' AND "Away team" = 'telford united'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4056, 25312, 41, 96, 382, 23, 15, 150, 121, 1499, 6, 96, 19040, 372, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 308, 342, 121, 149...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 19040, 372, 121, 21680, 953, 834, 4056, 25312, 549, 17444, 427, 96, 134, 9022, 121, 3274, 3, 31, 357, 104, 536, 31, 3430, 96, 188, 1343, 372, 121, 3274, 3, 31, 1625, 2590, 18279, 31, 1, -100, -100, -100, -100,...
what is the score when the surface is carpet (i) outcome is winner and the championship is rotterdam, netherlands?
CREATE TABLE table_name_43 (score VARCHAR, championship VARCHAR, surface VARCHAR, outcome VARCHAR)
SELECT score FROM table_name_43 WHERE surface = "carpet (i)" AND outcome = "winner" AND championship = "rotterdam, netherlands"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 7, 9022, 584, 4280, 28027, 6, 10183, 584, 4280, 28027, 6, 1774, 584, 4280, 28027, 6, 6138, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 125, 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, 2604, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 1774, 3274, 96, 1720, 4995, 41, 23, 61, 121, 3430, 6138, 3274, 96, 3757, 687, 121, 3430, 10183, 3274, 96, 14369, 49, 7812, 6, 3134, 760, 6347, 121, 1, -100, ...
How many goals against total did the team with more than 52 goals and fewer than 10 losses have?
CREATE TABLE table_name_41 (goals_against INTEGER, goals_for VARCHAR, losses VARCHAR)
SELECT SUM(goals_against) FROM table_name_41 WHERE goals_for > 52 AND losses < 10
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 839, 5405, 834, 9, 16720, 7, 17, 3, 21342, 17966, 6, 1766, 834, 1161, 584, 4280, 28027, 6, 8467, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 839, 5405, 834, 9, 16720, 7, 17, 61, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 1766, 834, 1161, 2490, 9065, 3430, 8467, 3, 2, 335, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the number of year for mark martin
CREATE TABLE table_23015396_1 (year VARCHAR, driver VARCHAR)
SELECT COUNT(year) FROM table_23015396_1 WHERE driver = "Mark Martin"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 13427, 27025, 4314, 834, 536, 41, 1201, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 381, 13, 215, 21, 3946, 3157, 17, 77, 1, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1201, 61, 21680, 953, 834, 13427, 27025, 4314, 834, 536, 549, 17444, 427, 2535, 3274, 96, 19762, 3394, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the pinyin when the simplified shows ?
CREATE TABLE table_60880 ( "English Name" text, "Simplified" text, "Traditional" text, "Pinyin" text, "Area" text, "Population" text, "Density" text )
SELECT "Pinyin" FROM table_60880 WHERE "Simplified" = '南山区'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3328, 927, 2079, 41, 96, 26749, 5570, 121, 1499, 6, 96, 134, 10296, 3676, 121, 1499, 6, 96, 9402, 10569, 138, 121, 1499, 6, 96, 345, 77, 63, 77, 121, 1499, 6, 96, 188, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 77, 63, 77, 121, 21680, 953, 834, 3328, 927, 2079, 549, 17444, 427, 96, 134, 10296, 3676, 121, 3274, 3, 31, 2, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the result of the match with Zab Judah as the opponent?
CREATE TABLE table_69455 ( "Number" real, "Name" text, "Titles" text, "Date" text, "Opponent" text, "Result" text )
SELECT "Result" FROM table_69455 WHERE "Opponent" = 'zab judah'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3951, 2128, 755, 41, 96, 567, 5937, 49, 121, 490, 6, 96, 23954, 121, 1499, 6, 96, 382, 155, 965, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 20119, 121, 21680, 953, 834, 3951, 2128, 755, 549, 17444, 427, 96, 667, 102, 9977, 121, 3274, 3, 31, 1629, 115, 3, 14312, 9, 107, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is moving from fee in Hun country?
CREATE TABLE table_63066 ( "Name" text, "Country" text, "Type" text, "Moving from" text, "Transfer fee" text )
SELECT "Moving from" FROM table_63066 WHERE "Country" = 'hun'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26106, 3539, 41, 96, 23954, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 25160, 121, 1499, 6, 96, 329, 32, 3745, 45, 121, 1499, 6, 96, 18474, 1010, 2572, 121, 1499, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 96, 329, 32, 3745, 45, 121, 21680, 953, 834, 26106, 3539, 549, 17444, 427, 96, 10628, 651, 121, 3274, 3, 31, 107, 202, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the record of the game with 18,084 in attendance?
CREATE TABLE table_name_1 (record VARCHAR, attendance VARCHAR)
SELECT record FROM table_name_1 WHERE attendance = "18,084"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 60, 7621, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1368, 13, 8, 467, 28, 14985, 4018, 591, 16, 11364...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 11364, 3274, 96, 2606, 6, 4018, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many times were the dallas cowboys listed as an opponent ?
CREATE TABLE table_203_405 ( id number, "week" number, "date" text, "opponent" text, "result" text, "attendance" number )
SELECT COUNT(*) FROM table_203_405 WHERE "opponent" = 'dallas cowboys'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 591, 3076, 41, 3, 23, 26, 381, 6, 96, 8041, 121, 381, 6, 96, 5522, 121, 1499, 6, 96, 32, 102, 9977, 121, 1499, 6, 96, 60, 7, 83, 17, 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, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 21680, 953, 834, 23330, 834, 591, 3076, 549, 17444, 427, 96, 32, 102, 9977, 121, 3274, 3, 31, 26, 1748, 9, 7, 9321, 7531, 7, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
how many times has she played herself ?
CREATE TABLE table_202_38 ( id number, "year" number, "title" text, "role" text, "notes" text )
SELECT COUNT(*) FROM table_202_38 WHERE "role" = 'herself'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 19818, 834, 3747, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 21869, 121, 1499, 6, 96, 3491, 15, 121, 1499, 6, 96, 7977, 7, 121, 1499, 3, 61, 3, 32102, 32103, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 21680, 953, 834, 19818, 834, 3747, 549, 17444, 427, 96, 3491, 15, 121, 3274, 3, 31, 760, 7703, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Grid has a Rider of randy de puniet, and Laps smaller than 24?
CREATE TABLE table_name_11 (grid INTEGER, rider VARCHAR, laps VARCHAR)
SELECT MAX(grid) FROM table_name_11 WHERE rider = "randy de puniet" AND laps < 24
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 3496, 26, 3, 21342, 17966, 6, 2564, 52, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 23644, 65, 3, 9, 2521...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 3496, 26, 61, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 2564, 52, 3274, 96, 52, 232, 63, 20, 4930, 23, 15, 17, 121, 3430, 14941, 7, 3, 2, 997, 1, -100, -100, -100, -100, -100, -100, -100, ...
Which Player has 4 Wins?
CREATE TABLE table_34475 ( "Rank" real, "Player" text, "Country" text, "Earnings ( $ )" real, "Events" real, "Wins" real )
SELECT "Player" FROM table_34475 WHERE "Wins" = '4'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 3628, 3072, 41, 96, 22557, 121, 490, 6, 96, 15800, 49, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 427, 291, 29, 53, 7, 41, 1514, 3, 61, 121, 490, 6, 96, 427...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 15800, 49, 121, 21680, 953, 834, 519, 3628, 3072, 549, 17444, 427, 96, 18455, 7, 121, 3274, 3, 31, 591, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the author of the submission with the highest score?
CREATE TABLE submission ( Author VARCHAR, Scores VARCHAR )
SELECT Author FROM submission ORDER BY Scores DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 8121, 41, 10236, 584, 4280, 28027, 6, 17763, 7, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2291, 13, 8, 8121, 28, 8, 2030, 2604, 58, 1, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 10236, 21680, 8121, 4674, 11300, 272, 476, 17763, 7, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
which division has the least entries ?
CREATE TABLE table_203_533 ( id number, "season" number, "level" text, "division" text, "section" text, "position" text, "movements" text )
SELECT "division" FROM table_203_533 GROUP BY "division" ORDER BY COUNT(*) LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 4867, 519, 41, 3, 23, 26, 381, 6, 96, 9476, 121, 381, 6, 96, 4563, 121, 1499, 6, 96, 26, 23, 6610, 121, 1499, 6, 96, 14309, 121, 1499, 6, 96, 4718, 121, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 26, 23, 6610, 121, 21680, 953, 834, 23330, 834, 4867, 519, 350, 4630, 6880, 272, 476, 96, 26, 23, 6610, 121, 4674, 11300, 272, 476, 2847, 17161, 599, 1935, 61, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, ...
What is the to par that has england as the country, with 66 as a score?
CREATE TABLE table_name_95 (to_par VARCHAR, country VARCHAR, score VARCHAR)
SELECT to_par FROM table_name_95 WHERE country = "england" AND score = 66
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 235, 834, 1893, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 12, 260, 24, 65, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 12, 834, 1893, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 684, 3274, 96, 4606, 40, 232, 121, 3430, 2604, 3274, 3, 3539, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which 2005 is the lowest one that has a Grade smaller than 6, and a 2008 smaller than 80, and a 2006 larger than 72?
CREATE TABLE table_name_32 (grade VARCHAR)
SELECT MIN(2005) FROM table_name_32 WHERE grade < 6 AND 2008 < 80 AND 2006 > 72
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 6801, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 3105, 19, 8, 7402, 80, 24, 65, 3, 9, 13027, 2755, 145, 8580, 11, 3, 9, 2628, 2755, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 29495, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 2769, 3, 2, 431, 3430, 2628, 3, 2, 2775, 3430, 3581, 2490, 9455, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
On what dates were employees without the letter M in their first names hired?
CREATE TABLE locations ( location_id number, street_address text, postal_code text, city text, state_province text, country_id text ) CREATE TABLE regions ( region_id number, region_name text ) CREATE TABLE jobs ( job_id text, job_title text, min_salary number, max_sala...
SELECT hire_date FROM employees WHERE NOT first_name LIKE '%M%'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3248, 41, 1128, 834, 23, 26, 381, 6, 2815, 834, 9, 26, 12039, 1499, 6, 19085, 834, 4978, 1499, 6, 690, 1499, 6, 538, 834, 1409, 2494, 565, 1499, 6, 684, 834, 23, 26, 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, 3804, 834, 5522, 21680, 1652, 549, 17444, 427, 4486, 166, 834, 4350, 8729, 9914, 3, 31, 1454, 329, 1454, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Where is NCAA division ii Franklin Pierce University located at?
CREATE TABLE table_name_54 (location VARCHAR, classification VARCHAR, institution VARCHAR)
SELECT location FROM table_name_54 WHERE classification = "ncaa division ii" AND institution = "franklin pierce university"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 14836, 584, 4280, 28027, 6, 13774, 584, 4280, 28027, 6, 6568, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2840, 19, 20711, 4889, 3, 23, 23, 1607...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1128, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 13774, 3274, 96, 29, 658, 9, 4889, 3, 23, 23, 121, 3430, 6568, 3274, 96, 6296, 20529, 29, 3, 8343, 565, 3819, 121, 1, -100, -100, -100, -100, -100, -100, -1...
What is the lowest rank for an album after 1999 and an Accolade of the 100 greatest indie rock albums of all time?
CREATE TABLE table_name_67 ( rank INTEGER, year VARCHAR, accolade VARCHAR )
SELECT MIN(rank) FROM table_name_67 WHERE year > 1999 AND accolade = "the 100 greatest indie rock albums of all time"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 11003, 3, 21342, 17966, 6, 215, 584, 4280, 28027, 6, 30022, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 7402, 11003, 21, 46, 23...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 3, 17684, 599, 6254, 61, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 215, 2490, 5247, 3430, 30022, 3274, 96, 532, 910, 4016, 16, 2498, 2480, 14234, 13, 66, 97, 121, 1, -100, -100, -100, -100, -100, -100, -100...
What is the Winner's share in 2007?
CREATE TABLE table_41261 ( "Year" text, "Dates" text, "Champion" text, "Country" text, "Score" text, "Tournament location" text, "Purse ($)" real, "Winner's share ($)" real )
SELECT COUNT("Winner's share ($)") FROM table_41261 WHERE "Year" = '2007'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 2122, 4241, 41, 96, 476, 2741, 121, 1499, 6, 96, 308, 6203, 121, 1499, 6, 96, 254, 1483, 12364, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 134, 9022, 121, 1499,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 18455, 687, 31, 7, 698, 8785, 61, 8512, 21680, 953, 834, 591, 2122, 4241, 549, 17444, 427, 96, 476, 2741, 121, 3274, 3, 31, 20615, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the School of the quarterback?
CREATE TABLE table_34313 ( "Position" text, "Name" text, "School" text, "Unanimous" text, "College Hall of Fame" text )
SELECT "School" FROM table_34313 WHERE "Position" = 'quarterback'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3710, 519, 2368, 41, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 23954, 121, 1499, 6, 96, 29364, 121, 1499, 6, 96, 5110, 13607, 1162, 121, 1499, 6, 96, 9939, 7883, 2501, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 96, 29364, 121, 21680, 953, 834, 3710, 519, 2368, 549, 17444, 427, 96, 345, 32, 7, 4749, 121, 3274, 3, 31, 19973, 1549, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the mean year of marriage when her age was more than 19 and his age was 30?
CREATE TABLE table_name_6 ( year_of_marriage INTEGER, her_age VARCHAR, his_age VARCHAR )
SELECT AVG(year_of_marriage) FROM table_name_6 WHERE her_age > 19 AND his_age = 30
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 215, 834, 858, 834, 51, 10269, 545, 3, 21342, 17966, 6, 160, 834, 545, 584, 4280, 28027, 6, 112, 834, 545, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 1201, 834, 858, 834, 51, 10269, 545, 61, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 160, 834, 545, 2490, 957, 3430, 112, 834, 545, 3274, 604, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
What's the cores with the part number cl8064701477202?
CREATE TABLE table_13573 ( "Model number" text, "sSpec number" text, "Cores" text, "Frequency" text, "Turbo" text, "L2 cache" text, "L3 cache" text, "GPU model" text, "GPU frequency" text, "Socket" text, "I/O bus" text, "Release date" text, "Part number(s)" text, ...
SELECT "Cores" FROM table_13573 WHERE "Part number(s)" = 'cl8064701477202'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2368, 3436, 519, 41, 96, 24663, 381, 121, 1499, 6, 96, 7, 7727, 381, 121, 1499, 6, 96, 254, 14846, 121, 1499, 6, 96, 371, 60, 835, 11298, 121, 1499, 6, 96, 382, 450, 11...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14846, 121, 21680, 953, 834, 2368, 3436, 519, 549, 17444, 427, 96, 13725, 381, 599, 7, 61, 121, 3274, 3, 31, 75, 40, 2079, 4389, 2518, 2534, 4013, 19818, 31, 1, -100, -100, -100, -100, -100, -100, -100, -...
Show the company name and the main industry for all companies whose headquarters are not from USA.
CREATE TABLE gas_station ( station_id number, open_year number, location text, manager_name text, vice_manager_name text, representative_name text ) CREATE TABLE station_company ( station_id number, company_id number, rank_of_the_year number ) CREATE TABLE company ( company_id ...
SELECT company, main_industry FROM company WHERE headquarters <> 'USA'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1807, 834, 6682, 41, 2478, 834, 23, 26, 381, 6, 539, 834, 1201, 381, 6, 1128, 1499, 6, 2743, 834, 4350, 1499, 6, 6444, 834, 24185, 834, 4350, 1499, 6, 6978, 834, 4350, 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, 349, 6, 711, 834, 13580, 7, 8224, 21680, 349, 549, 17444, 427, 13767, 3, 2, 3155, 3, 31, 17663, 31, 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 hawthorn is the away side?
CREATE TABLE table_name_66 ( home_team VARCHAR, away_team VARCHAR )
SELECT home_team FROM table_name_66 WHERE away_team = "hawthorn"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 234, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 19, 8, 234, 372, 116, 4244, 210, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 234, 834, 11650, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 550, 834, 11650, 3274, 96, 1024, 210, 17, 6293, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many years had scores of 10 12, 6 1, 6 3?
CREATE TABLE table_2127933_3 ( year VARCHAR, score VARCHAR )
SELECT COUNT(year) FROM table_2127933_3 WHERE score = "10–12, 6–1, 6–3"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24837, 4440, 4201, 834, 519, 41, 215, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 203, 141, 7586, 13, 335, 10440, 431, 1914, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 1201, 61, 21680, 953, 834, 24837, 4440, 4201, 834, 519, 549, 17444, 427, 2604, 3274, 96, 1714, 104, 2122, 6, 431, 104, 4347, 431, 104, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who was the opponent at the game that had a loss of Shields (1 1)?
CREATE TABLE table_71088 ( "Date" text, "Opponent" text, "Score" text, "Loss" text, "Record" text, "Stadium" text )
SELECT "Opponent" FROM table_71088 WHERE "Loss" = 'shields (1–1)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 1714, 4060, 41, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 434, 32, 7, 7, 121, 1499, 6, 96, 1649, 7621, 121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 667, 102, 9977, 121, 21680, 953, 834, 940, 1714, 4060, 549, 17444, 427, 96, 434, 32, 7, 7, 121, 3274, 3, 31, 7, 16219, 26, 7, 4077, 104, 6982, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the target market of the station with call sign KFXS?
CREATE TABLE table_134987_3 (target_city__market VARCHAR, call_sign VARCHAR)
SELECT target_city__market FROM table_134987_3 WHERE call_sign = "KFXS"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2368, 3647, 4225, 834, 519, 41, 24315, 834, 6726, 834, 834, 8809, 584, 4280, 28027, 6, 580, 834, 6732, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2387, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2387, 834, 6726, 834, 834, 8809, 21680, 953, 834, 2368, 3647, 4225, 834, 519, 549, 17444, 427, 580, 834, 6732, 3274, 96, 439, 371, 4, 134, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What Platform has a Current Version 0.6.2?
CREATE TABLE table_name_55 ( platform VARCHAR, current_version VARCHAR )
SELECT platform FROM table_name_55 WHERE current_version = "0.6.2"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 1585, 584, 4280, 28027, 6, 750, 834, 8674, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 12779, 65, 3, 9, 12892, 8011, 4097, 23913, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1585, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 750, 834, 8674, 3274, 96, 22787, 5, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
List all document ids with at least two paragraphs.
CREATE TABLE Paragraphs (document_id VARCHAR)
SELECT document_id FROM Paragraphs GROUP BY document_id HAVING COUNT(*) >= 2
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4734, 9413, 7, 41, 28244, 834, 23, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 6792, 66, 1708, 3, 23, 26, 7, 28, 44, 709, 192, 8986, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1708, 834, 23, 26, 21680, 4734, 9413, 7, 350, 4630, 6880, 272, 476, 1708, 834, 23, 26, 454, 6968, 2365, 2847, 17161, 599, 1935, 61, 2490, 2423, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and the sum of revenue , and group by attribute name, and order by the Name in asc.
CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL ) CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER )
SELECT T2.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 15248, 7, 41, 3636, 3, 21342, 17966, 6, 5570, 584, 4280, 28027, 599, 25502, 201, 3642, 19973, 584, 4280, 28027, 599, 25502, 201, 3, 19145, 584, 4280, 28027, 599, 25502, 201, 19764, 17833...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 23954, 6, 332, 4416, 1649, 15098, 21680, 7554, 6157, 332, 536, 3, 15355, 3162, 15248, 7, 6157, 332, 357, 9191, 332, 5411, 7296, 76, 8717, 450, 49, 3274, 332, 4416, 22737, 350, 4630, 6880, 272, 476, 332, 4...
whats the first height of patient 007-8317 during their first hospital encounter?
CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost numbe...
SELECT patient.admissionheight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '007-8317' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1) AND NOT patient.admissionheight IS NULL ORDER BY pa...
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 8209, 41, 8209, 23, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 8209, 4350, 1499, 6, 8209, 715, 97, 6, 3, 447, 26, 1298, 4978, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1868, 5, 9, 26, 5451, 88, 2632, 21680, 1868, 549, 17444, 427, 1868, 5, 10061, 15878, 3734, 21545, 23, 26, 3388, 41, 23143, 14196, 1868, 5, 10061, 15878, 3734, 21545, 23, 26, 21680, 1868, 549, 17444, 427, 1868, 5, 20...