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 district where Steve Carriker is the Democratic Senator and he took office later than 1988?
CREATE TABLE table_name_72 ( district INTEGER, took_office VARCHAR, party VARCHAR, senator VARCHAR )
SELECT MAX(district) FROM table_name_72 WHERE party = "democratic" AND senator = "steve carriker" AND took_office > 1988
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 3939, 3, 21342, 17966, 6, 808, 834, 19632, 584, 4280, 28027, 6, 1088, 584, 4280, 28027, 6, 20596, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 26, 23, 20066, 61, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 1088, 3274, 96, 23319, 447, 121, 3430, 20596, 3274, 96, 849, 162, 443, 9629, 49, 121, 3430, 808, 834, 19632, 2490, 10414, 1, -100, ...
When 'jobless' is the title who are the writers?
CREATE TABLE table_24033 ( "Ep." real, "Season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Prod. Code" text )
SELECT "Written by" FROM table_24033 WHERE "Title" = 'Jobless'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 11944, 4201, 41, 96, 427, 102, 535, 490, 6, 96, 134, 15, 9, 739, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 24965, 324, 57...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 24965, 324, 57, 121, 21680, 953, 834, 11944, 4201, 549, 17444, 427, 96, 382, 155, 109, 121, 3274, 3, 31, 683, 32, 115, 924, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which ANSI code has a GEO ID larger than 3809927140, and a Water (sqmi) smaller than 0.492, and a Pop (2010) of 37, and a Latitude larger than 48.245979?
CREATE TABLE table_65960 ( "Township" text, "County" text, "Pop. (2010)" real, "Land ( sqmi )" real, "Water (sqmi)" real, "Latitude" real, "Longitude" real, "GEO ID" real, "ANSI code" real )
SELECT MIN("ANSI code") FROM table_65960 WHERE "GEO ID" > '3809927140' AND "Water (sqmi)" < '0.492' AND "Pop. (2010)" = '37' AND "Latitude" > '48.245979'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4122, 27699, 41, 96, 382, 9197, 2009, 121, 1499, 6, 96, 10628, 63, 121, 1499, 6, 96, 27773, 5, 26118, 121, 490, 6, 96, 434, 232, 41, 11820, 51, 23, 3, 61, 121, 490, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 16897, 196, 1081, 8512, 21680, 953, 834, 4122, 27699, 549, 17444, 427, 96, 5042, 667, 4699, 121, 2490, 3, 31, 22671, 3264, 2555, 22012, 31, 3430, 96, 28632, 41, 7, 1824, 51, 23, 61, 121, 3, 2, ...
What is the most points earlier than 1953 with a Ferrari 375/50 chassis?
CREATE TABLE table_15029 ( "Year" real, "Entrant" text, "Chassis" text, "Engine" text, "Points" real )
SELECT MAX("Points") FROM table_15029 WHERE "Year" < '1953' AND "Chassis" = 'ferrari 375/50'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 12278, 3166, 41, 96, 476, 2741, 121, 490, 6, 96, 16924, 3569, 121, 1499, 6, 96, 3541, 6500, 7, 121, 1499, 6, 96, 31477, 121, 1499, 6, 96, 22512, 7, 121, 490, 3, 61, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 22512, 7, 8512, 21680, 953, 834, 12278, 3166, 549, 17444, 427, 96, 476, 2741, 121, 3, 2, 3, 31, 2294, 4867, 31, 3430, 96, 3541, 6500, 7, 121, 3274, 3, 31, 1010, 52, 1665, 3, 22954, 87, 1752, ...
Give me a pie to show the total number from different party.
CREATE TABLE school ( School_ID int, Grade text, School text, Location text, Type text ) CREATE TABLE school_bus ( School_ID int, Driver_ID int, Years_Working int, If_full_time bool ) CREATE TABLE driver ( Driver_ID int, Name text, Party text, Home_city text, Ag...
SELECT Party, COUNT(*) FROM driver GROUP BY Party
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 496, 41, 1121, 834, 4309, 16, 17, 6, 13027, 1499, 6, 1121, 1499, 6, 10450, 1499, 6, 6632, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 496, 834, 3465, 41, 1121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3450, 6, 2847, 17161, 599, 1935, 61, 21680, 2535, 350, 4630, 6880, 272, 476, 3450, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many patients stayed in hospital for more than 9 days and procedured with icd9 code 3571?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob te...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "9" AND procedures.icd9_code = "3571"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
How many Games have a Score of 5 4, and Points smaller than 49?
CREATE TABLE table_name_96 ( game VARCHAR, score VARCHAR, points VARCHAR )
SELECT COUNT(game) FROM table_name_96 WHERE score = "5–4" AND points < 49
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 467, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 5880, 43, 3, 9, 17763, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 7261, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 2604, 3274, 96, 755, 104, 20364, 3430, 979, 3, 2, 9526, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Played is the lowest one that has a Team of vasco da gama, and an Against smaller than 11?
CREATE TABLE table_name_54 ( played INTEGER, team VARCHAR, against VARCHAR )
SELECT MIN(played) FROM table_name_54 WHERE team = "vasco da gama" AND against < 11
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 1944, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 581, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 2911, 15, 26, 19, 8, 7402, 80, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4895, 15, 26, 61, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 372, 3274, 96, 900, 3523, 836, 17371, 121, 3430, 581, 3, 2, 850, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Find the names of users who have more than one tweet.
CREATE TABLE user_profiles ( name VARCHAR, uid VARCHAR ) CREATE TABLE tweets ( uid VARCHAR )
SELECT T1.name FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING COUNT(*) > 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1139, 834, 18816, 7, 41, 564, 584, 4280, 28027, 6, 3, 76, 23, 26, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 10657, 7, 41, 3, 76, 23, 26, 584, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 5411, 4350, 21680, 1139, 834, 18816, 7, 6157, 332, 536, 3, 15355, 3162, 10657, 7, 6157, 332, 357, 9191, 332, 5411, 76, 23, 26, 3274, 332, 4416, 76, 23, 26, 350, 4630, 6880, 272, 476, 332, 4416, 76, 23, 26, ...
What was the number of Personal Staff Units Killed?
CREATE TABLE table_56583 ( "Unit" text, "Complement" text, "Killed" text, "Wounded" text, "Missing" text )
SELECT "Killed" FROM table_56583 WHERE "Unit" = 'personal staff'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4834, 3449, 519, 41, 96, 5110, 155, 121, 1499, 6, 96, 5890, 102, 3335, 121, 1499, 6, 96, 439, 173, 1361, 121, 1499, 6, 96, 518, 14471, 121, 1499, 6, 96, 329, 159, 7, 53...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 439, 173, 1361, 121, 21680, 953, 834, 4834, 3449, 519, 549, 17444, 427, 96, 5110, 155, 121, 3274, 3, 31, 17108, 871, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the original title of the film from years after 1985 from the UK?
CREATE TABLE table_15528 ( "Year" real, "English title" text, "Original title" text, "Country" text, "Director" text )
SELECT "Original title" FROM table_15528 WHERE "Year" > '1985' AND "Country" = 'uk'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20896, 2577, 41, 96, 476, 2741, 121, 490, 6, 96, 26749, 2233, 121, 1499, 6, 96, 667, 3380, 10270, 2233, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 23620, 127, 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, 667, 3380, 10270, 2233, 121, 21680, 953, 834, 20896, 2577, 549, 17444, 427, 96, 476, 2741, 121, 2490, 3, 31, 2294, 4433, 31, 3430, 96, 10628, 651, 121, 3274, 3, 31, 1598, 31, 1, -100, -100, -100, -100, -100, -...
What is the location for 2012?
CREATE TABLE table_name_13 (location VARCHAR, year VARCHAR)
SELECT location FROM table_name_13 WHERE year = 2012
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 14836, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1128, 21, 1673, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1128, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 215, 3274, 1673, 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...
What percentage of users were using Netscape during the period in which 63.67% were using Internet Explorer?
CREATE TABLE table_name_54 (netscape VARCHAR, internet_explorer VARCHAR)
SELECT netscape FROM table_name_54 WHERE internet_explorer = "63.67%"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 1582, 12002, 584, 4280, 28027, 6, 1396, 834, 20901, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 5294, 13, 1105, 130, 338, 6540, 12002, 383, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3134, 12002, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 1396, 834, 20901, 3274, 96, 948, 23074, 6170, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
how many of the female patients had a lab test for mcv?
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "F" AND lab.label = "MCV"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4293, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 7690, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7690, 5, 8399, 51, 834, 23, 26, 549, 17444,...
Which driver had a grid of 18 with 68 laps?
CREATE TABLE table_name_88 ( driver VARCHAR, laps VARCHAR, grid VARCHAR )
SELECT driver FROM table_name_88 WHERE laps = "68" AND grid = "18"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 2535, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 2535, 141, 3, 9, 8634, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2535, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 14941, 7, 3274, 96, 3651, 121, 3430, 8634, 3274, 96, 2606, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Date has an Away team of south melbourne?
CREATE TABLE table_58074 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT "Date" FROM table_58074 WHERE "Away team" = 'south melbourne'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 2079, 4581, 41, 96, 19040, 372, 121, 1499, 6, 96, 19040, 372, 2604, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 188, 1343, 372, 2604, 121, 1499, 6, 96, 553, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 308, 342, 121, 21680, 953, 834, 755, 2079, 4581, 549, 17444, 427, 96, 188, 1343, 372, 121, 3274, 3, 31, 7, 670, 107, 3, 2341, 26255, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What date is aston villa away?
CREATE TABLE table_name_67 ( date VARCHAR, away_team VARCHAR )
SELECT date FROM table_name_67 WHERE away_team = "aston villa"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 833, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 833, 19, 3, 9, 4411, 12159, 550, 58, 1, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 550, 834, 11650, 3274, 96, 9, 4411, 12159, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what is the number of asian patients who had open reduction of femur fracture with internal rotation?
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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "ASIAN" AND procedures.short_title = "Open reduc-int fix femur"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14798, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 564, 1499, 6, 2774, 1947, 834, 8547, 302, 1499, 6, 1246, 1499, 6, 103, 115, 1499, 6, 7285, 1499, 6, 1612, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
What was the score on April 23?
CREATE TABLE table_name_5 (score VARCHAR, date VARCHAR)
SELECT score FROM table_name_5 WHERE date = "april 23"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 2604, 30, 1186, 1902, 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, 2604, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 833, 3274, 96, 9, 2246, 40, 1902, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
After 2009, who was the player that has a nationality of Canada?
CREATE TABLE table_name_23 ( player VARCHAR, nationality VARCHAR, year VARCHAR )
SELECT player FROM table_name_23 WHERE nationality = "canada" AND year > 2009
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 1959, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 621, 2464, 6, 113, 47, 8, 1959,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 1157, 485, 3274, 96, 658, 18089, 121, 3430, 215, 2490, 2464, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the lead for institute of election results and social democratic of 31.7% 8 seats
CREATE TABLE table_5597 ( "Date Released" text, "Institute" text, "Socialist" text, "Social Democratic" text, "Green-Communist" text, "Left Bloc" text, "People's Party" text, "Lead" text )
SELECT "Lead" FROM table_5597 WHERE "Institute" = 'election results' AND "Social Democratic" = '31.7% 8 seats'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3769, 4327, 41, 96, 308, 342, 13048, 26, 121, 1499, 6, 96, 9496, 15, 121, 1499, 6, 96, 5231, 4703, 343, 121, 1499, 6, 96, 5231, 4703, 10021, 121, 1499, 6, 96, 22918, 18, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 2796, 9, 26, 121, 21680, 953, 834, 3769, 4327, 549, 17444, 427, 96, 9496, 15, 121, 3274, 3, 31, 15, 12252, 772, 31, 3430, 96, 5231, 4703, 10021, 121, 3274, 3, 31, 3341, 5, 6170, 505, 6116, 31, 1, -100, -100,...
For Once Municipal, what were the goals scored that had less than 27 points and greater than place 1?
CREATE TABLE table_79829 ( "Place" real, "Team" text, "Played" real, "Draw" real, "Lost" real, "Goals Scored" real, "Goals Conceded" real, "Points" real )
SELECT AVG("Goals Scored") FROM table_79829 WHERE "Place" > '1' AND "Team" = 'once municipal' AND "Points" < '27'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 3916, 3166, 41, 96, 345, 11706, 121, 490, 6, 96, 18699, 121, 1499, 6, 96, 15800, 15, 26, 121, 490, 6, 96, 308, 10936, 121, 490, 6, 96, 434, 3481, 121, 490, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 121, 6221, 5405, 17763, 26, 8512, 21680, 953, 834, 940, 3916, 3166, 549, 17444, 427, 96, 345, 11706, 121, 2490, 3, 31, 536, 31, 3430, 96, 18699, 121, 3274, 3, 31, 14549, 10516, 31, 3430, 96, 22512, ...
What are the highest wins with cuts smaller than 6, events of 4 and a top-5 smaller than 0?
CREATE TABLE table_name_74 (wins INTEGER, top_5 VARCHAR, cuts_made VARCHAR, events VARCHAR)
SELECT MAX(wins) FROM table_name_74 WHERE cuts_made < 6 AND events = 4 AND top_5 < 0
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 3757, 7, 3, 21342, 17966, 6, 420, 834, 755, 584, 4280, 28027, 6, 8620, 834, 4725, 584, 4280, 28027, 6, 984, 584, 4280, 28027, 61, 3, 32102, 32103, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 8620, 834, 4725, 3, 2, 431, 3430, 984, 3274, 314, 3430, 420, 834, 755, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -10...
What is the lowest year for an engine of ford zetec-r v8, and points greater than 0?
CREATE TABLE table_70476 ( "Year" real, "Chassis" text, "Engine" text, "Tyres" text, "Points" real )
SELECT MIN("Year") FROM table_70476 WHERE "Engine" = 'ford zetec-r v8' AND "Points" > '0'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2518, 591, 3959, 41, 96, 476, 2741, 121, 490, 6, 96, 3541, 6500, 7, 121, 1499, 6, 96, 31477, 121, 1499, 6, 96, 382, 63, 60, 7, 121, 1499, 6, 96, 22512, 7, 121, 490, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 476, 2741, 8512, 21680, 953, 834, 2518, 591, 3959, 549, 17444, 427, 96, 31477, 121, 3274, 3, 31, 2590, 3, 776, 5822, 18, 52, 3, 208, 927, 31, 3430, 96, 22512, 7, 121, 2490, 3, 31, 632, 31, ...
When was William Kennedy first elected?
CREATE TABLE table_2668374_11 (first_elected VARCHAR, incumbent VARCHAR)
SELECT first_elected FROM table_2668374_11 WHERE incumbent = "William Kennedy"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 3651, 519, 4581, 834, 2596, 41, 14672, 834, 19971, 584, 4280, 28027, 6, 28406, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 366, 47, 4599, 14532, 166, 8160, 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, 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, 166, 834, 19971, 21680, 953, 834, 2688, 3651, 519, 4581, 834, 2596, 549, 17444, 427, 28406, 3274, 96, 518, 1092, 23, 265, 14532, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the final score for Aguilar when he played Hans Podlipnik on clay and was runner-up?
CREATE TABLE table_name_47 ( score VARCHAR, outcome VARCHAR, surface VARCHAR, opponent VARCHAR )
SELECT score FROM table_name_47 WHERE surface = "clay" AND opponent = "hans podlipnik" AND outcome = "runner-up"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 2604, 584, 4280, 28027, 6, 6138, 584, 4280, 28027, 6, 1774, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 1774, 3274, 96, 4651, 63, 121, 3430, 15264, 3274, 96, 2618, 7, 9489, 7446, 4953, 121, 3430, 6138, 3274, 96, 10806, 18, 413, 121, 1, -100, -100, -100, -100, -1...
Who is the owner of NTS Motorsports sponsored by Qore-24?
CREATE TABLE table_name_61 ( owner_s_ VARCHAR, team VARCHAR, primary_sponsor_s_ VARCHAR )
SELECT owner_s_ FROM table_name_61 WHERE team = "nts motorsports" AND primary_sponsor_s_ = "qore-24"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 2527, 834, 7, 834, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 2329, 834, 7, 5041, 7, 127, 834, 7, 834, 584, 4280, 28027, 3, 61, 3, 32102, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 2527, 834, 7, 834, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 372, 3274, 96, 29, 17, 7, 2340, 6661, 7, 121, 3430, 2329, 834, 7, 5041, 7, 127, 834, 7, 834, 3274, 96, 1824, 127, 15, 14962, 121, 1, -100, ...
What is the least amount of matches?
CREATE TABLE table_27922491_8 ( matches INTEGER )
SELECT MIN(matches) FROM table_27922491_8
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 4508, 2266, 4729, 834, 927, 41, 6407, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 709, 866, 13, 6407, 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, 3, 17684, 599, 19515, 15, 7, 61, 21680, 953, 834, 2555, 4508, 2266, 4729, 834, 927, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the home city for angelo massimino stadium?
CREATE TABLE table_name_7 (home_city VARCHAR, stadium VARCHAR)
SELECT home_city FROM table_name_7 WHERE stadium = "angelo massimino"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 5515, 834, 6726, 584, 4280, 28027, 6, 14939, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 234, 690, 21, 11831, 32, 3294, 23, 1109, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 6726, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 14939, 3274, 96, 3280, 40, 32, 3294, 23, 1109, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
with race of ranvet stakes what is the group?
CREATE TABLE table_4989 ( "Result" text, "Date" text, "Race" text, "Venue" text, "Group" text, "Distance" text, "Weight (kg)" real, "Jockey" text, "Winner/2nd" text )
SELECT "Group" FROM table_4989 WHERE "Race" = 'ranvet stakes'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3647, 3914, 41, 96, 20119, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 448, 3302, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 27247, 121, 1499, 6, 96, 308, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 27247, 121, 21680, 953, 834, 3647, 3914, 549, 17444, 427, 96, 448, 3302, 121, 3274, 3, 31, 2002, 162, 17, 8474, 7, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Date has a Record of 3-4?
CREATE TABLE table_46592 ( "Date" text, "Visitor" text, "Score" text, "Home" text, "Record" text )
SELECT "Date" FROM table_46592 WHERE "Record" = '3-4'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4448, 3390, 357, 41, 96, 308, 342, 121, 1499, 6, 96, 553, 159, 155, 127, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 19040, 121, 1499, 6, 96, 1649, 7621, 121, 1499, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 96, 308, 342, 121, 21680, 953, 834, 4448, 3390, 357, 549, 17444, 427, 96, 1649, 7621, 121, 3274, 3, 31, 519, 4278, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the home team at the game with an Attendance of 2,029?
CREATE TABLE table_name_85 ( home_team VARCHAR, attendance VARCHAR )
SELECT home_team FROM table_name_85 WHERE attendance = "2,029"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 234, 834, 11650, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 234, 372, 44, 8, 467, 28, 46, 22497, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4433, 549, 17444, 427, 11364, 3274, 96, 4482, 632, 3166, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Create a bar chart showing school_id across all neutral, and rank All_Neutral in descending order.
CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Percent text, ACC_Home text, ACC_Road text, All_Games text, All_Games_Percent int, All_Home text, All_Road text, All_Neutral text ) CREATE TABLE university ( Scho...
SELECT All_Neutral, School_ID FROM basketball_match ORDER BY All_Neutral DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 8498, 834, 19515, 41, 2271, 834, 4309, 16, 17, 6, 1121, 834, 4309, 16, 17, 6, 2271, 834, 23954, 1499, 6, 3, 14775, 834, 17748, 4885, 834, 134, 15, 9, 739, 1499, 6, 3, 14775, 834, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 432, 834, 26288, 8792, 6, 1121, 834, 4309, 21680, 8498, 834, 19515, 4674, 11300, 272, 476, 432, 834, 26288, 8792, 309, 25067, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the home score when the away team scored 16.11 (107)?
CREATE TABLE table_57838 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT "Home team" FROM table_57838 WHERE "Away team score" = '16.11 (107)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 3940, 3747, 41, 96, 19040, 372, 121, 1499, 6, 96, 19040, 372, 2604, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 188, 1343, 372, 2604, 121, 1499, 6, 96, 553, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 19040, 372, 121, 21680, 953, 834, 755, 3940, 3747, 549, 17444, 427, 96, 188, 1343, 372, 2604, 121, 3274, 3, 31, 2938, 5, 2596, 11704, 12703, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is Status, when Location is Russia?
CREATE TABLE table_40610 ( "Name" text, "Novelty" text, "Status" text, "Authors" text, "Location" text )
SELECT "Status" FROM table_40610 WHERE "Location" = 'russia'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2445, 27097, 41, 96, 23954, 121, 1499, 6, 96, 4168, 4911, 17, 63, 121, 1499, 6, 96, 134, 17, 144, 302, 121, 1499, 6, 96, 23602, 127, 7, 121, 1499, 6, 96, 434, 32, 75, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17, 144, 302, 121, 21680, 953, 834, 2445, 27097, 549, 17444, 427, 96, 434, 32, 75, 257, 121, 3274, 3, 31, 26165, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
let me know the diagnoses icd9 code and primary disease of patient with patient id 2110.
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ...
SELECT demographic.diagnosis, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "2110"
[ 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, 14798, 5, 25930, 4844, 159, 6, 18730, 7, 5, 447, 26, 1298, 834, 4978, 21680, 14798, 3388, 18206, 3, 15355, 3162, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 549, 17...
What's the participle when the verbal noun is i-bil-tze?
CREATE TABLE table_556 ( "Basic stem (root)" text, "Present stem" text, "Non-present stem" text, "Participle" text, "Verbal noun" text, "Short stem" text, "Meaning" text )
SELECT "Participle" FROM table_556 WHERE "Verbal noun" = 'i-bil-tze'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3769, 948, 41, 96, 14885, 447, 6269, 41, 18951, 61, 121, 1499, 6, 96, 10572, 5277, 6269, 121, 1499, 6, 96, 567, 106, 18, 12640, 6269, 121, 1499, 6, 96, 13725, 1294, 4788, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 13725, 1294, 4788, 121, 21680, 953, 834, 3769, 948, 549, 17444, 427, 96, 5000, 3849, 150, 202, 121, 3274, 3, 31, 23, 18, 3727, 18, 17, 776, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what was the reason Richard K. Meade ( d ) became a successor?
CREATE TABLE table_228439_4 (reason_for_change VARCHAR, successor VARCHAR)
SELECT reason_for_change FROM table_228439_4 WHERE successor = "Richard K. Meade ( D )"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2884, 4608, 3288, 834, 591, 41, 864, 739, 834, 1161, 834, 13073, 584, 4280, 28027, 6, 22261, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 125, 47, 8, 1053, 4117, 480,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1053, 834, 1161, 834, 13073, 21680, 953, 834, 2884, 4608, 3288, 834, 591, 549, 17444, 427, 22261, 3274, 96, 448, 362, 986, 480, 5, 1212, 9, 221, 41, 309, 3, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -1...
The length of 30 minutes aired on what date?
CREATE TABLE table_15116 ( "Title" text, "Length" text, "Writer" text, "Director" text, "Airdate" text )
SELECT "Airdate" FROM table_15116 WHERE "Length" = '30 minutes'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1808, 20159, 41, 96, 382, 155, 109, 121, 1499, 6, 96, 434, 4606, 189, 121, 1499, 6, 96, 24965, 49, 121, 1499, 6, 96, 23620, 127, 121, 1499, 6, 96, 20162, 5522, 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, 20162, 5522, 121, 21680, 953, 834, 1808, 20159, 549, 17444, 427, 96, 434, 4606, 189, 121, 3274, 3, 31, 1458, 676, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What player has a round larger than 2, and position of (d)?
CREATE TABLE table_name_20 (player VARCHAR, round VARCHAR, position VARCHAR)
SELECT player FROM table_name_20 WHERE round > 2 AND position = "(d)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 20846, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 1959, 65, 3, 9, 1751, 2186, 145, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1959, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 1751, 2490, 204, 3430, 1102, 3274, 96, 599, 26, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the name for the end of contract because they're moving to Falkirk?
CREATE TABLE table_name_63 (name VARCHAR, type VARCHAR, moving_to VARCHAR)
SELECT name FROM table_name_63 WHERE type = "end of contract" AND moving_to = "falkirk"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 4350, 584, 4280, 28027, 6, 686, 584, 4280, 28027, 6, 1735, 834, 235, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 564, 21, 8, 414, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 564, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 686, 3274, 96, 989, 13, 1696, 121, 3430, 1735, 834, 235, 3274, 96, 89, 138, 157, 12546, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who was the music director in 1971 for the movie Kalyani?
CREATE TABLE table_65394 ( "Year" real, "Movie (in Kannada )" text, "Director" text, "Cast" text, "Music Director" text )
SELECT "Music Director" FROM table_65394 WHERE "Year" = '1971' AND "Movie (in Kannada )" = 'kalyani'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4122, 3288, 591, 41, 96, 476, 2741, 121, 490, 6, 96, 329, 9881, 15, 41, 77, 4540, 18089, 3, 61, 121, 1499, 6, 96, 23620, 127, 121, 1499, 6, 96, 254, 9, 7, 17, 121, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 29035, 2578, 121, 21680, 953, 834, 4122, 3288, 591, 549, 17444, 427, 96, 476, 2741, 121, 3274, 3, 31, 2294, 4450, 31, 3430, 96, 329, 9881, 15, 41, 77, 4540, 18089, 3, 61, 121, 3274, 3, 31, 1258, 120, 2738, 3...
What name is associated with a rank of less than 24, and an altitude (meters) of 3085?
CREATE TABLE table_63743 ( "Rank" real, "Name" text, "Altitude (meters)" real, "Range" text, "Parent Range" text )
SELECT "Name" FROM table_63743 WHERE "Rank" < '24' AND "Altitude (meters)" = '3085'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3891, 4581, 519, 41, 96, 22557, 121, 490, 6, 96, 23954, 121, 1499, 6, 96, 188, 40, 6592, 41, 4401, 7, 61, 121, 490, 6, 96, 448, 3280, 121, 1499, 6, 96, 13212, 295, 1097...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 23954, 121, 21680, 953, 834, 3891, 4581, 519, 549, 17444, 427, 96, 22557, 121, 3, 2, 3, 31, 2266, 31, 3430, 96, 188, 40, 6592, 41, 4401, 7, 61, 121, 3274, 3, 31, 1458, 4433, 31, 1, -100, -100, -100, -100, ...
Please give me a bar chart for the total enrollment in each county, display by the x-axis from low to high.
CREATE TABLE budget ( School_id int, Year int, Budgeted int, total_budget_percent_budgeted real, Invested int, total_budget_percent_invested real, Budget_invested_percent text ) CREATE TABLE School ( School_id text, School_name text, Location text, Mascot text, Enrollmen...
SELECT County, SUM(Enrollment) FROM School GROUP BY County ORDER BY County
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1487, 41, 1121, 834, 23, 26, 16, 17, 6, 2929, 16, 17, 6, 12532, 15, 26, 16, 17, 6, 792, 834, 11073, 2782, 834, 883, 3728, 834, 115, 13164, 1054, 490, 6, 3, 13898, 15, 26, 16, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1334, 6, 180, 6122, 599, 8532, 4046, 297, 61, 21680, 1121, 350, 4630, 6880, 272, 476, 1334, 4674, 11300, 272, 476, 1334, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What are the countries of all airlines whose names start with Orbit, and count them by a bar chart, could you display Y in desc order?
CREATE TABLE routes ( rid integer, dst_apid integer, dst_ap varchar(4), src_apid bigint, src_ap varchar(4), alid bigint, airline varchar(4), codeshare text ) CREATE TABLE airlines ( alid integer, name text, iata varchar(2), icao varchar(3), callsign text, country...
SELECT country, COUNT(country) FROM airlines WHERE name LIKE 'Orbit%' GROUP BY country ORDER BY COUNT(country) DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 9729, 41, 5413, 30278, 6, 3, 26, 7, 17, 834, 9, 12417, 30278, 6, 3, 26, 7, 17, 834, 9, 102, 3, 4331, 4059, 10820, 6, 3, 7, 52, 75, 834, 9, 12417, 600, 77, 17, 6, 3, 7, 52, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 684, 6, 2847, 17161, 599, 17529, 61, 21680, 19184, 549, 17444, 427, 564, 8729, 9914, 3, 31, 7395, 2360, 1454, 31, 350, 4630, 6880, 272, 476, 684, 4674, 11300, 272, 476, 2847, 17161, 599, 17529, 61, 309, 25067, 1, -1...
What is the status where the notes are possible jr synonym of sapeornis?
CREATE TABLE table_42613 ( "Name" text, "Novelty" text, "Status" text, "Authors" text, "Unit" text, "Location" text, "Notes" text )
SELECT "Status" FROM table_42613 WHERE "Notes" = 'possible jr synonym of sapeornis'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 2688, 2368, 41, 96, 23954, 121, 1499, 6, 96, 4168, 4911, 17, 63, 121, 1499, 6, 96, 134, 17, 144, 302, 121, 1499, 6, 96, 23602, 127, 7, 121, 1499, 6, 96, 5110, 155,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17, 144, 302, 121, 21680, 953, 834, 591, 2688, 2368, 549, 17444, 427, 96, 10358, 15, 7, 121, 3274, 3, 31, 2748, 7, 2317, 3, 354, 52, 29443, 13, 16333, 15, 127, 29, 159, 31, 1, -100, -100, -100, -100, ...
Show me mean age by born state in a histogram
CREATE TABLE head ( head_ID int, name text, born_state text, age real ) CREATE TABLE department ( Department_ID int, Name text, Creation text, Ranking int, Budget_in_Billions real, Num_Employees real ) CREATE TABLE management ( department_ID int, head_ID int, tempor...
SELECT born_state, AVG(age) FROM head GROUP BY born_state
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 819, 41, 819, 834, 4309, 16, 17, 6, 564, 1499, 6, 2170, 834, 5540, 1499, 6, 1246, 490, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 3066, 41, 1775, 834, 4309, 16, 17...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2170, 834, 5540, 6, 71, 17217, 599, 545, 61, 21680, 819, 350, 4630, 6880, 272, 476, 2170, 834, 5540, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
how many more goals did he have in 2009 than 2005 ?
CREATE TABLE table_203_34 ( id number, "season" text, "appearance" number, "interchange" number, "tries" number, "goals" number, "f/g" number, "points" number )
SELECT (SELECT "goals" FROM table_203_34 WHERE "season" = 2009) - (SELECT "goals" FROM table_203_34 WHERE "season" = 2005)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 3710, 41, 3, 23, 26, 381, 6, 96, 9476, 121, 1499, 6, 96, 3096, 2741, 663, 121, 381, 6, 96, 3870, 13073, 121, 381, 6, 96, 9000, 121, 381, 6, 96, 839, 5405, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 41, 23143, 14196, 96, 839, 5405, 121, 21680, 953, 834, 23330, 834, 3710, 549, 17444, 427, 96, 9476, 121, 3274, 2464, 61, 3, 18, 41, 23143, 14196, 96, 839, 5405, 121, 21680, 953, 834, 23330, 834, 3710, 549, 17444, 42...
what is the number of patients whose admission location is clinic referral/premature and admission year is less than 2119?
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND demographic.admityear < "2119"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7690, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 2118, 23, 26, 1499, 6, 5059, 715, 1499, 6, 5692, 1499, 6, 701, 834, 15129, 1499, 6, 3783, 1499, 6, 5798, 1499...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 9, 26, 5451, 834, 14836, 3274, 96, 254, 20931, 4666, 4083, 20805, 21415, 87, 5554, 20211, 25380, 1...
Name the birth date for estonia for spiker and height of 189
CREATE TABLE table_25058562_2 ( birth_date VARCHAR, height VARCHAR, nationality VARCHAR, position VARCHAR )
SELECT birth_date FROM table_25058562_2 WHERE nationality = "Estonia" AND position = "Spiker" AND height = 189
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 11434, 3449, 4834, 357, 834, 357, 41, 3879, 834, 5522, 584, 4280, 28027, 6, 3902, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 3, 61, 3, 321...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3879, 834, 5522, 21680, 953, 834, 11434, 3449, 4834, 357, 834, 357, 549, 17444, 427, 1157, 485, 3274, 96, 14997, 8008, 121, 3430, 1102, 3274, 96, 134, 102, 10109, 121, 3430, 3902, 3274, 3, 25312, 1, -100, -100, -100, ...
For those records from the products and each product's manufacturer, find name and the sum of price , and group by attribute name, and visualize them by a bar chart, could you sort in asc by the names?
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, T1.Price 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, 5411, 345, 4920, 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, 441...
What is the code of each role and the number of employees in each role?
CREATE TABLE roles ( role_code text, role_name text, role_description text ) CREATE TABLE documents_to_be_destroyed ( document_id number, destruction_authorised_by_employee_id number, destroyed_by_employee_id number, planned_destruction_date time, actual_destruction_date time, other...
SELECT role_code, COUNT(*) FROM employees GROUP BY role_code
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6270, 41, 1075, 834, 4978, 1499, 6, 1075, 834, 4350, 1499, 6, 1075, 834, 221, 11830, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 2691, 834, 235, 834, 346, 834, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1075, 834, 4978, 6, 2847, 17161, 599, 1935, 61, 21680, 1652, 350, 4630, 6880, 272, 476, 1075, 834, 4978, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
In what season did Raquel Pacheco finish in third place?
CREATE TABLE table_25214321_1 ( season VARCHAR, third_place VARCHAR )
SELECT season FROM table_25214321_1 WHERE third_place = "Raquel Pacheco"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 2658, 4906, 2658, 834, 536, 41, 774, 584, 4280, 28027, 6, 1025, 834, 4687, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 86, 125, 774, 410, 2922, 4479, 11790,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 774, 21680, 953, 834, 1828, 2658, 4906, 2658, 834, 536, 549, 17444, 427, 1025, 834, 4687, 3274, 96, 448, 9, 4479, 11790, 88, 509, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What team had a qual 1 of 59.895?
CREATE TABLE table_name_72 (team VARCHAR, qual_1 VARCHAR)
SELECT team FROM table_name_72 WHERE qual_1 = "59.895"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 11650, 584, 4280, 28027, 6, 3, 11433, 834, 536, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 372, 141, 3, 9, 3, 11433, 209, 13, 3, 3390, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 372, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 3, 11433, 834, 536, 3274, 96, 3390, 5, 3914, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What kind of South Marquesan has a S moan of /matua/?
CREATE TABLE table_49477 ( "Tongan" text, "Niuean" text, "S\u0101moan" text, "Takuu" text, "Tahitian" text, "Rarotongan" text, "M\u0101ori" text, "North Marquesan" text, "South Marquesan" text, "Hawai'ian" text, "Mangarevan" text )
SELECT "South Marquesan" FROM table_49477 WHERE "S\u0101moan" = '/matua/'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3647, 591, 4013, 41, 96, 382, 106, 2565, 121, 1499, 6, 96, 567, 23, 76, 15, 152, 121, 1499, 6, 96, 134, 2, 76, 632, 19621, 51, 32, 152, 121, 1499, 6, 96, 382, 16296, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 22081, 1571, 7771, 152, 121, 21680, 953, 834, 3647, 591, 4013, 549, 17444, 427, 96, 134, 2, 76, 632, 19621, 51, 32, 152, 121, 3274, 3, 31, 87, 3357, 76, 9, 87, 31, 1, -100, -100, -100, -100, -100, -100, -100...
What sesaon(s) did they have 254 goals against?
CREATE TABLE table_2817196_1 (season VARCHAR, goals_against VARCHAR)
SELECT season FROM table_2817196_1 WHERE goals_against = 254
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2517, 26937, 834, 536, 41, 9476, 584, 4280, 28027, 6, 1766, 834, 9, 16720, 7, 17, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 1394, 9, 106, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 774, 21680, 953, 834, 2577, 2517, 26937, 834, 536, 549, 17444, 427, 1766, 834, 9, 16720, 7, 17, 3274, 944, 591, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average # Of National Votes, when the Election is before 1992, when the % Of Prefectural Vote is 39.5%, when Leader is Takeo Fukuda, and when # Of Seats Won is greater than 63?
CREATE TABLE table_name_30 ( _number_of_national_votes INTEGER, _number_of_seats_won VARCHAR, leader VARCHAR, election VARCHAR, _percentage_of_prefectural_vote VARCHAR )
SELECT AVG(_number_of_national_votes) FROM table_name_30 WHERE election < 1992 AND _percentage_of_prefectural_vote = "39.5%" AND leader = "takeo fukuda" AND _number_of_seats_won > 63
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 3, 834, 5525, 1152, 834, 858, 834, 16557, 834, 1621, 1422, 3, 21342, 17966, 6, 3, 834, 5525, 1152, 834, 858, 834, 7, 1544, 7, 834, 210, 106, 584, 428...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 834, 5525, 1152, 834, 858, 834, 16557, 834, 1621, 1422, 61, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 4356, 3, 2, 9047, 3430, 3, 834, 883, 3728, 545, 834, 858, 834, 2026, 4075, 9709, 834, ...
What year was the school with green and white colors founded?
CREATE TABLE table_2589963_1 ( founded INTEGER, color VARCHAR )
SELECT MAX(founded) FROM table_2589963_1 WHERE color = "Green and White"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3449, 3264, 3891, 834, 536, 41, 5710, 3, 21342, 17966, 6, 945, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 215, 47, 8, 496, 28, 1442, 11, 872, 2602, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 23329, 61, 21680, 953, 834, 357, 3449, 3264, 3891, 834, 536, 549, 17444, 427, 945, 3274, 96, 22918, 11, 1945, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
let me know both the location of admission and discharge of patient troy friedman.
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic (...
SELECT demographic.admission_location, demographic.discharge_location FROM demographic WHERE demographic.name = "Troy Friedman"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 18730, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 14798, 5, 9, 26, 5451, 834, 14836, 6, 14798, 5, 26, 159, 7993, 834, 14836, 21680, 14798, 549, 17444, 427, 14798, 5, 4350, 3274, 96, 382, 8170, 17561, 348, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
When hittite old kingdom , minoan eruption is the ubaid period in mesopotamia what is the copper age?
CREATE TABLE table_26149 ( "Copper Age" text, "Chalcolithic (4500 BC - 3300 BC)" text, "Early Chalcolithic" text, "4500 BC - 4000 BC" text, "Ubaid period in Mesopotamia" text )
SELECT "Copper Age" FROM table_26149 WHERE "Ubaid period in Mesopotamia" = 'Hittite Old Kingdom , Minoan eruption'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 24816, 41, 96, 3881, 8153, 7526, 121, 1499, 6, 96, 3541, 138, 9044, 189, 447, 8457, 2560, 9580, 3, 18, 220, 5426, 9580, 61, 121, 1499, 6, 96, 427, 291, 120, 20732, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 3881, 8153, 7526, 121, 21680, 953, 834, 2688, 24816, 549, 17444, 427, 96, 1265, 9441, 26, 1059, 16, 10162, 32, 3013, 3690, 9, 121, 3274, 3, 31, 566, 155, 17, 155, 15, 3525, 6524, 3, 6, 4765, 32, 152, 31369, ...
Name the most goals for josep samitier
CREATE TABLE table_34179 ( "Ranking" real, "Nationality" text, "Name" text, "Goals" real, "Years" text )
SELECT MAX("Goals") FROM table_34179 WHERE "Name" = 'josep samitier'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3710, 26593, 41, 96, 22557, 53, 121, 490, 6, 96, 24732, 485, 121, 1499, 6, 96, 23954, 121, 1499, 6, 96, 6221, 5405, 121, 490, 6, 96, 476, 2741, 7, 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, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 121, 6221, 5405, 8512, 21680, 953, 834, 3710, 26593, 549, 17444, 427, 96, 23954, 121, 3274, 3, 31, 1927, 7, 15, 102, 3, 7, 3690, 3276, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What are the total number of positions on the Toronto team in 2006-07?
CREATE TABLE table_72075 ( "Player" text, "No." text, "Nationality" text, "Position" text, "Years in Toronto" text, "School/Club Team" text )
SELECT COUNT("Position") FROM table_72075 WHERE "Years in Toronto" = '2006-07'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 18517, 3072, 41, 96, 15800, 49, 121, 1499, 6, 96, 4168, 535, 1499, 6, 96, 24732, 485, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 476, 2741, 7, 16, 7030, 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, 2847, 17161, 599, 121, 345, 32, 7, 4749, 8512, 21680, 953, 834, 18517, 3072, 549, 17444, 427, 96, 476, 2741, 7, 16, 7030, 121, 3274, 3, 31, 21196, 18, 4560, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
What ran has noel patterson as the rider?
CREATE TABLE table_name_40 (rank VARCHAR, rider VARCHAR)
SELECT rank FROM table_name_40 WHERE rider = "noel patterson"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 6254, 584, 4280, 28027, 6, 2564, 52, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 4037, 65, 150, 15, 40, 6234, 17, 13515, 38, 8, 2564, 52,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 11003, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 2564, 52, 3274, 96, 29, 32, 15, 40, 6234, 17, 13515, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the mascot when the county is 43 kosciusko?
CREATE TABLE table_name_82 (mascot VARCHAR, county VARCHAR)
SELECT mascot FROM table_name_82 WHERE county = "43 kosciusko"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 2754, 4310, 584, 4280, 28027, 6, 5435, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 3, 2754, 4310, 116, 8, 5435, 19, 8838, 3, 9692,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 2754, 4310, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 5435, 3274, 96, 4906, 3, 9692, 8469, 17869, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the minimum number of members Africa had in 2001?
CREATE TABLE table_1914090_2 ( africa INTEGER, year VARCHAR )
SELECT MIN(africa) FROM table_1914090_2 WHERE year = 2001
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 22012, 2394, 834, 357, 41, 24040, 3, 21342, 17966, 6, 215, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2559, 381, 13, 724, 2648, 141, 16, 4402...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 9, 89, 2234, 9, 61, 21680, 953, 834, 2294, 22012, 2394, 834, 357, 549, 17444, 427, 215, 3274, 4402, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
has there been any nasopharynx microbiology test until 2104 for patient 031-16123?
CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, ...
SELECT COUNT(*) FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-16123')) AND microlab.culturesite = 'nasopharynx' AND STRFTIME('%y', microlab....
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 11963, 670, 2562, 41, 11963, 670, 2562, 23, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 2358, 8292, 1499, 6, 2358, 40, 10333, 1499, 6, 2358, 7480, 35, 76, 17552, 381, 6, 11963, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2179, 9339, 549, 17444, 427, 2179, 9339, 5, 10061, 15129, 21545, 23, 26, 3388, 41, 23143, 14196, 1868, 5, 10061, 15129, 21545, 23, 26, 21680, 1868, 549, 17444, 427, 1868, 5, 10061, 1...
What Tournament has an Outcome of runner-up, and a Score of 4 6, 3 6?
CREATE TABLE table_name_41 ( tournament VARCHAR, outcome VARCHAR, score VARCHAR )
SELECT tournament FROM table_name_41 WHERE outcome = "runner-up" AND score = "4–6, 3–6"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 5892, 584, 4280, 28027, 6, 6138, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 20502, 65, 46, 3387, 287, 15, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5892, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 6138, 3274, 96, 10806, 18, 413, 121, 3430, 2604, 3274, 96, 591, 104, 11071, 220, 104, 948, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Bar graph to show how many year from different year
CREATE TABLE grapes ( ID INTEGER, Grape TEXT, Color TEXT ) CREATE TABLE wine ( No INTEGER, Grape TEXT, Winery TEXT, Appelation TEXT, State TEXT, Name TEXT, Year INTEGER, Price INTEGER, Score INTEGER, Cases INTEGER, Drink TEXT ) CREATE TABLE appellations ( No...
SELECT Year, COUNT(Year) FROM wine
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 11457, 7, 41, 4699, 3, 21342, 17966, 6, 29083, 3, 3463, 4, 382, 6, 6088, 3, 3463, 4, 382, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 2013, 41, 465, 3, 21342, 17966...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2929, 6, 2847, 17161, 599, 476, 2741, 61, 21680, 2013, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
how much money is that procedure called internal fixation.
CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE treatment ( treat...
SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'treatment' AND cost.eventid IN (SELECT treatment.treatmentid FROM treatment WHERE treatment.treatmentname = 'internal fixation')
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3362, 4267, 32, 4370, 41, 3362, 4267, 32, 26, 1294, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 2912, 381, 6, 3, 7, 9, 32, 357, 381, 6, 842, 2206, 381, 6, 14114, 257, 381, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 15438, 25424, 6227, 583, 5, 11290, 21680, 583, 549, 17444, 427, 583, 5, 15, 2169, 6137, 3274, 3, 31, 26889, 31, 3430, 583, 5, 15, 2169, 23, 26, 3388, 41, 23143, 14196, 1058, 5, 26889, 23, 26, 21680, 1058, 549, ...
Which Playing For has a # 100 larger than 36, and a Score of 122?
CREATE TABLE table_name_27 ( playing_for VARCHAR, _number_100 VARCHAR, score VARCHAR )
SELECT playing_for FROM table_name_27 WHERE _number_100 > 36 AND score = "122"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 1556, 834, 1161, 584, 4280, 28027, 6, 3, 834, 5525, 1152, 834, 2915, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1556, 834, 1161, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 3, 834, 5525, 1152, 834, 2915, 2490, 4475, 3430, 2604, 3274, 96, 20889, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many millions of U.S. viewers watched the episode that first aired on March 31, 2013?
CREATE TABLE table_11111116_8 (us_viewers__million_ VARCHAR, original_air_date VARCHAR)
SELECT us_viewers__million_ FROM table_11111116_8 WHERE original_air_date = "March 31, 2013"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 15866, 15866, 2938, 834, 927, 41, 302, 834, 4576, 277, 834, 834, 17030, 834, 584, 4280, 28027, 6, 926, 834, 2256, 834, 5522, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 321...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 178, 834, 4576, 277, 834, 834, 17030, 834, 21680, 953, 834, 15866, 15866, 2938, 834, 927, 549, 17444, 427, 926, 834, 2256, 834, 5522, 3274, 96, 25019, 12074, 2038, 121, 1, -100, -100, -100, -100, -100, -100, -100, -10...
What did the home team when they played Richmond?
CREATE TABLE table_name_48 ( home_team VARCHAR, away_team VARCHAR )
SELECT home_team AS score FROM table_name_48 WHERE away_team = "richmond"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 234, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 410, 8, 234, 372, 116, 79, 1944, 17...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 550, 834, 11650, 3274, 96, 3723, 6764, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Where was the GTE Suncoast Classic tournament held?
CREATE TABLE table_11622562_1 (location VARCHAR, tournament VARCHAR)
SELECT location FROM table_11622562_1 WHERE tournament = "GTE Suncoast Classic"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20159, 20489, 4056, 834, 536, 41, 14836, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2840, 47, 8, 350, 3463, 3068, 25500, 6744, 5892, 1213, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1128, 21680, 953, 834, 20159, 20489, 4056, 834, 536, 549, 17444, 427, 5892, 3274, 96, 517, 3463, 3068, 25500, 6744, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
what is the total win % of manager viktor prokopenko, when he lost fewer than 2?
CREATE TABLE table_32039 ( "Manager" text, "Ukraine career" text, "Played" real, "Drawn" real, "Lost" real, "Win %" real )
SELECT COUNT("Win %") FROM table_32039 WHERE "Manager" = 'viktor prokopenko' AND "Lost" < '2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 15003, 3288, 41, 96, 27272, 121, 1499, 6, 96, 1265, 9669, 630, 1415, 121, 1499, 6, 96, 15800, 15, 26, 121, 490, 6, 96, 308, 10936, 29, 121, 490, 6, 96, 434, 3481, 121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 18455, 3, 1454, 8512, 21680, 953, 834, 15003, 3288, 549, 17444, 427, 96, 27272, 121, 3274, 3, 31, 2099, 10377, 813, 17466, 18994, 31, 3430, 96, 434, 3481, 121, 3, 2, 3, 31, 357, 31, 1, -100,...
Which player is from Ohio State College?
CREATE TABLE table_name_55 ( player VARCHAR, college VARCHAR )
SELECT player FROM table_name_55 WHERE college = "ohio state"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 1959, 584, 4280, 28027, 6, 1900, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 1959, 19, 45, 6167, 1015, 1888, 58, 1, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 1900, 3274, 96, 32, 107, 23, 32, 538, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the Winner when Selby Riddle came in Fourth?
CREATE TABLE table_name_26 (winner VARCHAR, fourth VARCHAR)
SELECT winner FROM table_name_26 WHERE fourth = "selby riddle"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 3757, 687, 584, 4280, 28027, 6, 4509, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 18125, 116, 11471, 969, 2403, 8437, 764, 16, 2167...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4668, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 4509, 3274, 96, 7, 15, 40, 969, 5413, 26, 109, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many years did he play in santiago de compostela?
CREATE TABLE table_name_6 ( year INTEGER, city VARCHAR )
SELECT SUM(year) FROM table_name_6 WHERE city = "santiago de compostela"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 215, 3, 21342, 17966, 6, 690, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 203, 410, 3, 88, 577, 16, 3, 7, 5965, 9, 839, 20, 17...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 1201, 61, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 690, 3274, 96, 7, 5965, 9, 839, 20, 17883, 15, 521, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the overall pick for Doug Sproule of the United States?
CREATE TABLE table_name_48 (overall VARCHAR, nationality VARCHAR, player VARCHAR)
SELECT overall FROM table_name_48 WHERE nationality = "united states" AND player = "doug sproule"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 1890, 1748, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 1879, 1432, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1879, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 1157, 485, 3274, 96, 15129, 15, 26, 2315, 121, 3430, 1959, 3274, 96, 26, 1063, 122, 3, 7, 1409, 83, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -1...
what is the telugu name తెలుగు of kannada name ಕನ್ನಡ utthara ಉತ್ತರ
CREATE TABLE table_201400_2 (telugu_name_తెలుగు VARCHAR, kannada_name_ಕನ್ನಡ VARCHAR)
SELECT telugu_name_తెలుగు FROM table_201400_2 WHERE kannada_name_ಕನ್ನಡ = "Utthara ಉತ್ತರ"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 10218, 1206, 834, 357, 41, 1625, 76, 1744, 834, 4350, 834, 2, 584, 4280, 28027, 6, 675, 9, 26, 9, 834, 4350, 834, 2, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 1625, 76, 1744, 834, 4350, 834, 2, 21680, 953, 834, 10218, 1206, 834, 357, 549, 17444, 427, 675, 9, 26, 9, 834, 4350, 834, 2, 3274, 96, 1265, 17, 17, 14888, 3, 2, 121, 1, -100, -100, -100, -100, -100, -100, ...
which EMNLP 2010 papers have the most citations ?
CREATE TABLE paper ( paperid int, title varchar, venueid int, year int, numciting int, numcitedby int, journalid int ) CREATE TABLE author ( authorid int, authorname varchar ) CREATE TABLE dataset ( datasetid int, datasetname varchar ) CREATE TABLE paperkeyphrase ( pap...
SELECT DISTINCT cite.citedpaperid, COUNT(cite.citedpaperid) FROM cite, paper, venue WHERE paper.paperid = cite.citedpaperid AND paper.year = 2010 AND venue.venueid = paper.venueid AND venue.venuename = 'EMNLP' GROUP BY cite.citedpaperid ORDER BY COUNT(cite.citedpaperid) DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1040, 41, 1040, 23, 26, 16, 17, 6, 2233, 3, 4331, 4059, 6, 5669, 23, 26, 16, 17, 6, 215, 16, 17, 6, 3, 5525, 17994, 16, 17, 6, 3, 5525, 11675, 969, 16, 17, 6, 6378, 23, 26, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 15438, 25424, 6227, 3, 8464, 5, 11675, 19587, 23, 26, 6, 2847, 17161, 599, 8464, 5, 11675, 19587, 23, 26, 61, 21680, 3, 8464, 6, 1040, 6, 5669, 549, 17444, 427, 1040, 5, 19587, 23, 26, 3274, 3, 8464, 5, 11675...
What are the names of representatives in descending order of votes?
CREATE TABLE representative ( Name VARCHAR, Representative_ID VARCHAR ) CREATE TABLE election ( Representative_ID VARCHAR )
SELECT T2.Name FROM election AS T1 JOIN representative AS T2 ON T1.Representative_ID = T2.Representative_ID ORDER BY votes DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6978, 41, 5570, 584, 4280, 28027, 6, 13517, 834, 4309, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 4356, 41, 13517, 834, 4309, 584, 4280, 28027, 3, 61...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 332, 4416, 23954, 21680, 4356, 6157, 332, 536, 3, 15355, 3162, 6978, 6157, 332, 357, 9191, 332, 5411, 1649, 12640, 1528, 834, 4309, 3274, 332, 4416, 1649, 12640, 1528, 834, 4309, 4674, 11300, 272, 476, 11839, 309, 25067...
Which Partner has a Date of 12 july 2009?
CREATE TABLE table_name_18 (partner VARCHAR, date VARCHAR)
SELECT partner FROM table_name_18 WHERE date = "12 july 2009"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 12300, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 5793, 65, 3, 9, 7678, 13, 586, 3, 2047, 120, 2464, 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, 2397, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 833, 3274, 96, 2122, 3, 2047, 120, 2464, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the playoffs for usisl select league
CREATE TABLE table_2511876_1 (playoffs VARCHAR, league VARCHAR)
SELECT playoffs FROM table_2511876_1 WHERE league = "USISL Select league"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 20056, 3959, 834, 536, 41, 4895, 1647, 7, 584, 4280, 28027, 6, 5533, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 15289, 7, 21, 178, 159, 40, 1738, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15289, 7, 21680, 953, 834, 1828, 20056, 3959, 834, 536, 549, 17444, 427, 5533, 3274, 96, 3063, 196, 5629, 6185, 5533, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is Silver, when Total is greater than 4, when Bronze is 2, and when Rank is greater than 1?
CREATE TABLE table_6922 ( "Rank" real, "Gold" text, "Silver" text, "Bronze" text, "Total" real )
SELECT "Silver" FROM table_6922 WHERE "Total" > '4' AND "Bronze" = '2' AND "Rank" > '1'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3951, 2884, 41, 96, 22557, 121, 490, 6, 96, 23576, 121, 1499, 6, 96, 134, 173, 624, 121, 1499, 6, 96, 22780, 29, 776, 121, 1499, 6, 96, 3696, 1947, 121, 490, 3, 61, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 173, 624, 121, 21680, 953, 834, 3951, 2884, 549, 17444, 427, 96, 3696, 1947, 121, 2490, 3, 31, 591, 31, 3430, 96, 22780, 29, 776, 121, 3274, 3, 31, 357, 31, 3430, 96, 22557, 121, 2490, 3, 31, 536, 31, ...
How many shader models have a 900 core clock ( mhz )?
CREATE TABLE table_28159 ( "Graphics" text, "Launch" real, "Market" text, "CPU" text, "Code name" text, "Device ID" real, "Core clock ( MHz )" text, "Execution units" real, "Shader model" text, "DirectX" text, "OpenGL" text, "OpenCL" text, "Memory bandwidth ( GB/s )" ...
SELECT COUNT("Shader model") FROM table_28159 WHERE "Core clock ( MHz )" = '900'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 27904, 41, 96, 21094, 447, 7, 121, 1499, 6, 96, 3612, 202, 524, 121, 490, 6, 96, 22572, 121, 1499, 6, 96, 254, 10744, 121, 1499, 6, 96, 22737, 564, 121, 1499, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 10499, 9, 588, 825, 8512, 21680, 953, 834, 2577, 27904, 549, 17444, 427, 96, 13026, 15, 6702, 41, 3, 20210, 3, 61, 121, 3274, 3, 31, 7015, 31, 1, -100, -100, -100, -100, -100, -100, -100, -1...
What is every value of Top 10 when team is #10 Phil Parsons Racing and average finish is 22.9?
CREATE TABLE table_2597876_2 (top_10 VARCHAR, team_s_ VARCHAR, avg_finish VARCHAR)
SELECT top_10 FROM table_2597876_2 WHERE team_s_ = "#10 Phil Parsons Racing" AND avg_finish = "22.9"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 21441, 3959, 834, 357, 41, 2916, 834, 1714, 584, 4280, 28027, 6, 372, 834, 7, 834, 584, 4280, 28027, 6, 3, 9, 208, 122, 834, 25535, 584, 4280, 28027, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 420, 834, 1714, 21680, 953, 834, 1828, 21441, 3959, 834, 357, 549, 17444, 427, 372, 834, 7, 834, 3274, 96, 4663, 1714, 8188, 2180, 6577, 16046, 121, 3430, 3, 9, 208, 122, 834, 25535, 3274, 96, 357, 27297, 121, 1, ...
In what year did Easton LL Easton play in Maryland?
CREATE TABLE table_13012165_1 (year VARCHAR, maryland VARCHAR)
SELECT COUNT(year) FROM table_13012165_1 WHERE maryland = "Easton LL Easton"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 21448, 2122, 22823, 834, 536, 41, 1201, 584, 4280, 28027, 6, 3157, 28900, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 86, 125, 215, 410, 1932, 106, 3, 10376, 1932, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1201, 61, 21680, 953, 834, 21448, 2122, 22823, 834, 536, 549, 17444, 427, 3157, 28900, 3274, 96, 25235, 106, 3, 10376, 1932, 106, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the lowest total for those receiving less than 18 but more than 14?
CREATE TABLE table_79350 ( "Rank" text, "Nation" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT MIN("Total") FROM table_79350 WHERE "Silver" < '18' AND "Rank" = '14'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4440, 16975, 41, 96, 22557, 121, 1499, 6, 96, 567, 257, 121, 1499, 6, 96, 23576, 121, 490, 6, 96, 134, 173, 624, 121, 490, 6, 96, 22780, 29, 776, 121, 490, 6, 96, 3696,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 3696, 1947, 8512, 21680, 953, 834, 4440, 16975, 549, 17444, 427, 96, 134, 173, 624, 121, 3, 2, 3, 31, 2606, 31, 3430, 96, 22557, 121, 3274, 3, 31, 2534, 31, 1, -100, -100, -100, -100, -100, -...
Who were the sideline reporter(s) in 2011?
CREATE TABLE table_name_72 ( sideline_reporter_s_ VARCHAR, year VARCHAR )
SELECT sideline_reporter_s_ FROM table_name_72 WHERE year = 2011
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 596, 747, 834, 60, 1493, 49, 834, 7, 834, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 130, 8, 596, 747, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 596, 747, 834, 60, 1493, 49, 834, 7, 834, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 215, 3274, 2722, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many channel tv (dt)s are in austin, texas?
CREATE TABLE table_1353096_1 ( channel_tv___dt__ VARCHAR, city_of_license__market VARCHAR )
SELECT COUNT(channel_tv___dt__) FROM table_1353096_1 WHERE city_of_license__market = "Austin, Texas"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2368, 26918, 4314, 834, 536, 41, 4245, 834, 17, 208, 834, 834, 834, 26, 17, 834, 834, 584, 4280, 28027, 6, 690, 834, 858, 834, 28062, 834, 834, 8809, 584, 4280, 28027, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 19778, 834, 17, 208, 834, 834, 834, 26, 17, 834, 834, 61, 21680, 953, 834, 2368, 26918, 4314, 834, 536, 549, 17444, 427, 690, 834, 858, 834, 28062, 834, 834, 8809, 3274, 96, 14934, 17, 77, 6, 251...
What is Mahu when pergi is pi?
CREATE TABLE table_name_80 ( mahu VARCHAR, pergi VARCHAR )
SELECT mahu FROM table_name_80 WHERE pergi = "pi"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 954, 107, 76, 584, 4280, 28027, 6, 399, 122, 23, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8555, 76, 116, 399, 122, 23, 19, 28...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 954, 107, 76, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 399, 122, 23, 3274, 96, 102, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
WHAT IS THE MEANING WITH P ny n of ch ?
CREATE TABLE table_name_61 ( meaning VARCHAR, pīnyīn VARCHAR )
SELECT meaning FROM table_name_61 WHERE pīnyīn = "chē"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 2530, 584, 4280, 28027, 6, 3, 102, 2, 29, 63, 2, 29, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 21665, 6827, 1853, 283, 20152, 2365, 11951...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2530, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 3, 102, 2, 29, 63, 2, 29, 3274, 96, 524, 2, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the result for district pennsylvania 6?
CREATE TABLE table_2668199_2 (result VARCHAR, district VARCHAR)
SELECT result FROM table_2668199_2 WHERE district = "Pennsylvania 6"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 3651, 19479, 834, 357, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 741, 21, 3939, 4550, 29, 7, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 2688, 3651, 19479, 834, 357, 549, 17444, 427, 3939, 3274, 96, 345, 35, 29, 7, 63, 40, 16658, 9, 431, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which driver was in 8 rounds with a chassis of dallara f306?
CREATE TABLE table_44017 ( "Team" text, "Driver" text, "Class" text, "Chassis" text, "Rounds" text )
SELECT "Driver" FROM table_44017 WHERE "Chassis" = 'dallara f306' AND "Rounds" = '8'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 22335, 2517, 41, 96, 18699, 121, 1499, 6, 96, 20982, 52, 121, 1499, 6, 96, 21486, 121, 1499, 6, 96, 3541, 6500, 7, 121, 1499, 6, 96, 448, 32, 1106, 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, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 20982, 52, 121, 21680, 953, 834, 22335, 2517, 549, 17444, 427, 96, 3541, 6500, 7, 121, 3274, 3, 31, 26, 1748, 2551, 3, 89, 1458, 948, 31, 3430, 96, 448, 32, 1106, 7, 121, 3274, 3, 31, 927, 31, 1, -100, -10...
During what period did Ricky Ponting play?
CREATE TABLE table_24132 ( "Rank" real, "Average" text, "Player" text, "Runs" real, "Innings" real, "Not Out" real, "Period" text )
SELECT "Period" FROM table_24132 WHERE "Player" = 'Ricky Ponting'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 23757, 41, 96, 22557, 121, 490, 6, 96, 188, 624, 545, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 448, 202, 7, 121, 490, 6, 96, 196, 9416, 7, 121, 490, 6, 96...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 12988, 23, 32, 26, 121, 21680, 953, 834, 2266, 23757, 549, 17444, 427, 96, 15800, 49, 121, 3274, 3, 31, 448, 3142, 63, 13886, 53, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many films were in hindi?
CREATE TABLE table_25926120_3 ( name_of_film VARCHAR, language VARCHAR )
SELECT COUNT(name_of_film) FROM table_25926120_3 WHERE language = "Hindi"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3390, 2688, 15518, 834, 519, 41, 564, 834, 858, 834, 9988, 584, 4280, 28027, 6, 1612, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 4852, 130, 16, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 4350, 834, 858, 834, 9988, 61, 21680, 953, 834, 357, 3390, 2688, 15518, 834, 519, 549, 17444, 427, 1612, 3274, 96, 566, 8482, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How was the player in the position of Center acquired?
CREATE TABLE table_name_26 ( acquisition_via VARCHAR, position VARCHAR )
SELECT acquisition_via FROM table_name_26 WHERE position = "center"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 6566, 834, 5907, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 47, 8, 1959, 16, 8, 1102, 13, 1166, 7347, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6566, 834, 5907, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 1102, 3274, 96, 13866, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
specify the time of admission of patient id 29961
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( ...
SELECT demographic.admittime FROM demographic WHERE demographic.subject_id = "29961"
[ 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, 14798, 5, 20466, 17, 715, 21680, 14798, 549, 17444, 427, 14798, 5, 7304, 11827, 834, 23, 26, 3274, 96, 357, 3264, 4241, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which home team played the away team of collingwood?
CREATE TABLE table_name_14 ( home_team VARCHAR, away_team VARCHAR )
SELECT home_team FROM table_name_14 WHERE away_team = "collingwood"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 234, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 234, 372, 1944, 8, 550, 372, 13, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 550, 834, 11650, 3274, 96, 3297, 697, 2037, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
When was satsuki dd-27 completed?
CREATE TABLE table_name_25 (completed VARCHAR, name VARCHAR)
SELECT completed FROM table_name_25 WHERE name = "satsuki dd-27"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 25288, 26, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 366, 47, 3, 7, 23766, 2168, 3, 26, 26, 18, 2555, 2012, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2012, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 564, 3274, 96, 7, 23766, 2168, 3, 26, 26, 18, 2555, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...