NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
Who was the finalist in Miami?
CREATE TABLE table_name_7 (finalist VARCHAR, tournament VARCHAR)
SELECT finalist FROM table_name_7 WHERE tournament = "miami"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 12406, 343, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 804, 343, 16, 8327, 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, 804, 343, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 5892, 3274, 96, 51, 23, 3690, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What did United States score in the place t6?
CREATE TABLE table_46920 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text, "Money ( $ )" real )
SELECT "Score" FROM table_46920 WHERE "Country" = 'united states' AND "Place" = 't6'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4448, 27749, 41, 96, 345, 11706, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 3696, 260, 121, 1499, 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, 134, 9022, 121, 21680, 953, 834, 4448, 27749, 549, 17444, 427, 96, 10628, 651, 121, 3274, 3, 31, 15129, 15, 26, 2315, 31, 3430, 96, 345, 11706, 121, 3274, 3, 31, 17, 948, 31, 1, -100, -100, -100, -100, -100, ...
Which school had a player who played the C position?
CREATE TABLE table_name_64 (school VARCHAR, position VARCHAR)
SELECT school FROM table_name_64 WHERE position = "c"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 6646, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 496, 141, 3, 9, 1959, 113, 1944, 8, 205, 1102, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 496, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 1102, 3274, 96, 75, 121, 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 people live in an area of 30.94 hectares?
CREATE TABLE table_1535 ( "Urban area (locality)" text, "Municipality" text, "Population" real, "Land area (hectares)" text, "Density (inh./km\u00b2)" text, "Code" real )
SELECT COUNT("Population") FROM table_1535 WHERE "Land area (hectares)" = '30.94'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1808, 2469, 41, 96, 1265, 52, 3478, 616, 41, 16882, 485, 61, 121, 1499, 6, 96, 329, 202, 23, 3389, 10355, 121, 1499, 6, 96, 27773, 7830, 121, 490, 6, 96, 434, 232, 616, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 27773, 7830, 8512, 21680, 953, 834, 1808, 2469, 549, 17444, 427, 96, 434, 232, 616, 41, 17256, 7, 61, 121, 3274, 3, 31, 1458, 5, 4240, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
tell me the drug that was prescribed to patient 029-7028 for the last time in their first hospital encounter?
CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code tex...
SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '029-7028' AND NOT patient.hospitaldischargetime IS NULL ORDER BY pa...
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 583, 41, 583, 23, 26, 381, 6, 775, 12417, 1499, 6, 1868, 15878, 3734, 21545, 23, 26, 381, 6, 605, 6137, 1499, 6, 605, 23, 26, 381, 6, 1567, 715, 97, 6, 583, 381, 3, 61, 3, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 7757, 5, 26, 13534, 4350, 21680, 7757, 549, 17444, 427, 7757, 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, 15878, 3734, 21...
Who was the girl on week 1 that was previous to week 3's Ava Hart?
CREATE TABLE table_name_23 ( week_1 VARCHAR, week_3 VARCHAR )
SELECT week_1 FROM table_name_23 WHERE week_3 = "ava hart"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 471, 834, 536, 584, 4280, 28027, 6, 471, 834, 519, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 3202, 30, 471, 209, 24, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 471, 834, 536, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 471, 834, 519, 3274, 96, 8644, 12479, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
When the tries against is 90 how many points are there?
CREATE TABLE table_39094 ( "Club" text, "Played" text, "Drawn" text, "Lost" text, "Points for" text, "Points against" text, "Tries for" text, "Tries against" text, "Try bonus" text, "Losing bonus" text, "Points" text )
SELECT "Points" FROM table_39094 WHERE "Tries against" = '90'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 2394, 4240, 41, 96, 254, 11158, 121, 1499, 6, 96, 15800, 15, 26, 121, 1499, 6, 96, 308, 10936, 29, 121, 1499, 6, 96, 434, 3481, 121, 1499, 6, 96, 22512, 7, 21, 121...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 22512, 7, 121, 21680, 953, 834, 519, 2394, 4240, 549, 17444, 427, 96, 382, 2593, 581, 121, 3274, 3, 31, 2394, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many seasons did Peter Deluise direct Stargate SG-1?
CREATE TABLE table_20080 ( "No. in season" real, "No. disc" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text )
SELECT MAX("No. in season") FROM table_20080 WHERE "Directed by" = 'Peter DeLuise'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3632, 2079, 41, 96, 4168, 5, 16, 774, 121, 490, 6, 96, 4168, 5, 5025, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 24965, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 4168, 5, 16, 774, 8512, 21680, 953, 834, 3632, 2079, 549, 17444, 427, 96, 23620, 15, 26, 57, 121, 3274, 3, 31, 345, 15, 449, 374, 434, 76, 159, 15, 31, 1, -100, -100, -100, -100, -100, -100, ...
Name the 2013/14 for 2012/13 is 36
CREATE TABLE table_27336 ( "2013/14" real, "2012/13" real, "2011/12" real, "2010/11" real, "Institute" text, "Region" text )
SELECT "2013/14" FROM table_27336 WHERE "2012/13" = '36'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 519, 3420, 41, 96, 11138, 14785, 20364, 490, 6, 96, 12172, 87, 2368, 121, 490, 6, 96, 13907, 18009, 121, 490, 6, 96, 14926, 20223, 121, 490, 6, 96, 9496, 15, 121, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 11138, 14785, 20364, 21680, 953, 834, 2555, 519, 3420, 549, 17444, 427, 96, 12172, 87, 2368, 121, 3274, 3, 31, 3420, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
When was the game against the Indianapolis Colts?
CREATE TABLE table_name_40 (date VARCHAR, opponent VARCHAR)
SELECT date FROM table_name_40 WHERE opponent = "indianapolis colts"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 5522, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 366, 47, 8, 467, 581, 8, 23385, 3043, 17, 7, 58, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 15264, 3274, 96, 77, 8603, 9, 15621, 7632, 17, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the mascot for the school with a student body larger than 2,191 in Noblesville?
CREATE TABLE table_35444 ( "School" text, "Mascot" text, "Location" text, "Enrollment" real, "IHSAA Class" text, "IHSAA Football Class" text, "County" text )
SELECT "Mascot" FROM table_35444 WHERE "Enrollment" > '2,191' AND "School" = 'noblesville'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2469, 591, 3628, 41, 96, 29364, 121, 1499, 6, 96, 329, 9, 7, 4310, 121, 1499, 6, 96, 434, 32, 75, 257, 121, 1499, 6, 96, 8532, 4046, 297, 121, 490, 6, 96, 196, 4950, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 329, 9, 7, 4310, 121, 21680, 953, 834, 2469, 591, 3628, 549, 17444, 427, 96, 8532, 4046, 297, 121, 2490, 3, 31, 4482, 2294, 536, 31, 3430, 96, 29364, 121, 3274, 3, 31, 29, 32, 2296, 9727, 31, 1, -100, -100, ...
Bar chart x axis customer last name y axis how many customer last name, and could you order the number of customer last name from low to high order?
CREATE TABLE Financial_Transactions ( transaction_id INTEGER, previous_transaction_id INTEGER, account_id INTEGER, card_id INTEGER, transaction_type VARCHAR(15), transaction_date DATETIME, transaction_amount DOUBLE, transaction_comment VARCHAR(255), other_transaction_details VARCHAR(...
SELECT customer_last_name, COUNT(customer_last_name) FROM Customers GROUP BY customer_last_name ORDER BY COUNT(customer_last_name)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 5421, 834, 18474, 4787, 7, 41, 5878, 834, 23, 26, 3, 21342, 17966, 6, 1767, 834, 7031, 4787, 834, 23, 26, 3, 21342, 17966, 6, 905, 834, 23, 26, 3, 21342, 17966, 6, 895, 834, 23, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 884, 834, 5064, 834, 4350, 6, 2847, 17161, 599, 25697, 49, 834, 5064, 834, 4350, 61, 21680, 16423, 350, 4630, 6880, 272, 476, 884, 834, 5064, 834, 4350, 4674, 11300, 272, 476, 2847, 17161, 599, 25697, 49, 834, 5064, ...
allergy or adverse reaction to lispro insulin
CREATE TABLE table_train_184 ( "id" int, "gender" string, "systolic_blood_pressure_sbp" int, "heart_disease" bool, "renal_disease" bool, "hematocrit_hct" float, "allergy_to_insulin_lispro" bool, "diastolic_blood_pressure_dbp" int, "serum_creatinine" float, "hypertension" bool, ...
SELECT * FROM table_train_184 WHERE allergy_to_insulin_lispro = 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9719, 834, 25987, 41, 96, 23, 26, 121, 16, 17, 6, 96, 122, 3868, 121, 6108, 6, 96, 7, 63, 7, 235, 2176, 834, 27798, 834, 26866, 834, 7, 115, 102, 121, 16, 17, 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, 1429, 21680, 953, 834, 9719, 834, 25987, 549, 17444, 427, 23886, 834, 235, 834, 15953, 77, 834, 40, 159, 1409, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Whose term expired in 1996 and was from the province of Central Highlands?
CREATE TABLE table_name_74 ( name VARCHAR, province VARCHAR, term_expires VARCHAR )
SELECT name FROM table_name_74 WHERE province = "central highlands" AND term_expires = 1996
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 564, 584, 4280, 28027, 6, 7985, 584, 4280, 28027, 6, 1657, 834, 994, 2388, 15, 7, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 7, 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, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 564, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 7985, 3274, 96, 20071, 306, 6347, 121, 3430, 1657, 834, 994, 2388, 15, 7, 3274, 6911, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the time when Shinya Aoki was the opponent?
CREATE TABLE table_39273 ( "Res." text, "Record" text, "Opponent" text, "Method" text, "Event" text, "Round" real, "Time" text, "Location" text )
SELECT "Time" FROM table_39273 WHERE "Opponent" = 'shinya aoki'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3288, 2555, 519, 41, 96, 1649, 7, 535, 1499, 6, 96, 1649, 7621, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 23351, 107, 32, 26, 121, 1499, 6, 96, 427, 2169, 121...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 13368, 121, 21680, 953, 834, 3288, 2555, 519, 549, 17444, 427, 96, 667, 102, 9977, 121, 3274, 3, 31, 7, 2907, 63, 9, 3, 9, 1825, 23, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the largest number of DVDs?
CREATE TABLE table_1467951_4 (dvd_no INTEGER)
SELECT MAX(dvd_no) FROM table_1467951_4
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24300, 4440, 5553, 834, 591, 41, 26, 208, 26, 834, 29, 32, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2015, 381, 13, 5677, 7, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 26, 208, 26, 834, 29, 32, 61, 21680, 953, 834, 24300, 4440, 5553, 834, 591, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who trained the horse on post 11 with over 36 odds?
CREATE TABLE table_name_93 ( trainer VARCHAR, odds VARCHAR, post VARCHAR )
SELECT trainer FROM table_name_93 WHERE odds > 36 AND post = 11
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 8813, 584, 4280, 28027, 6, 11007, 584, 4280, 28027, 6, 442, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 4252, 8, 4952, 30, 442, 850, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8813, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 11007, 2490, 4475, 3430, 442, 3274, 850, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the to par for Paul Azinger from the United States after 1986 for a total bigger than 145?
CREATE TABLE table_name_72 (to_par VARCHAR, total VARCHAR, player VARCHAR, country VARCHAR, year_won VARCHAR)
SELECT COUNT(to_par) FROM table_name_72 WHERE country = "united states" AND year_won > 1986 AND player = "paul azinger" AND total > 145
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 235, 834, 1893, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 6, 215, 834, 210, 106, 584, 4280, 2802...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 235, 834, 1893, 61, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 684, 3274, 96, 15129, 15, 26, 2315, 121, 3430, 215, 834, 210, 106, 2490, 12698, 3430, 1959, 3274, 96, 102, 9, 83, 11470, 9369,...
What player has the score of 67-72=139?
CREATE TABLE table_name_58 (player VARCHAR, score VARCHAR)
SELECT player FROM table_name_58 WHERE score = 67 - 72 = 139
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 20846, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 1959, 65, 8, 2604, 13, 3, 3708, 18, 5865, 2423, 24090, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 2604, 3274, 3, 3708, 3, 18, 9455, 3274, 3, 24090, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
On what date was the race course from Rome to Naples?
CREATE TABLE table_name_31 ( date VARCHAR, course VARCHAR )
SELECT date FROM table_name_31 WHERE course = "rome to naples"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 833, 584, 4280, 28027, 6, 503, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 461, 125, 833, 47, 8, 1964, 503, 45, 7332, 12, 29287, 58, 1, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 503, 3274, 96, 11956, 12, 12522, 965, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
what's the record where attendance is 61,350
CREATE TABLE table_11406866_2 ( record VARCHAR, attendance VARCHAR )
SELECT record FROM table_11406866_2 WHERE attendance = "61,350"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 18959, 5176, 26750, 834, 357, 41, 1368, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 31, 7, 8, 1368, 213, 11364, 19, 3, 4241, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 18959, 5176, 26750, 834, 357, 549, 17444, 427, 11364, 3274, 96, 4241, 6, 16975, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the chassis when the tyre is b, the engine is ferrari 050 ferrari 051 and the driver is rubens barrichello?
CREATE TABLE table_name_14 (chassis VARCHAR, driver VARCHAR, tyre VARCHAR, engine_† VARCHAR)
SELECT chassis FROM table_name_14 WHERE tyre = "b" AND engine_† = "ferrari 050 ferrari 051" AND driver = "rubens barrichello"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 524, 6500, 7, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 6, 3, 17, 63, 60, 584, 4280, 28027, 6, 1948, 834, 2, 584, 4280, 28027, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 22836, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 3, 17, 63, 60, 3274, 96, 115, 121, 3430, 1948, 834, 2, 3274, 96, 1010, 52, 1665, 3, 632, 1752, 25007, 1665, 3, 3076, 536, 121, 3430, 2535, 3274, 96, 14446,...
Tell me the competition for half marathon
CREATE TABLE table_4325 ( "Year" real, "Competition" text, "Venue" text, "Position" text, "Notes" text )
SELECT "Competition" FROM table_4325 WHERE "Notes" = 'half marathon'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4906, 1828, 41, 96, 476, 2741, 121, 490, 6, 96, 5890, 4995, 4749, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 10358, 15, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 96, 5890, 4995, 4749, 121, 21680, 953, 834, 4906, 1828, 549, 17444, 427, 96, 10358, 15, 7, 121, 3274, 3, 31, 17114, 17625, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Where Date is october 11, and game greater than 4 what is the lowest attendance?
CREATE TABLE table_name_34 (attendance INTEGER, date VARCHAR, game VARCHAR)
SELECT MIN(attendance) FROM table_name_34 WHERE date = "october 11" AND game > 4
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 15116, 663, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2840, 7678, 19, 3, 32, 75, 235, 115...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 833, 3274, 96, 32, 75, 235, 1152, 850, 121, 3430, 467, 2490, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
give me the number of patients whose year of death is less than or equal to 2174 and procedure long title is incision of abdominal wall?
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2174.0" AND procedures.long_title = "Incision of abdominal wall"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4293, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
Which Pocona Municipality (%) has a Puerto Villarroel Municipality (%) larger than 14.6, and a Pojo Municipality (%) smaller than 88.5?
CREATE TABLE table_name_6 (pocona_municipality___percentage_ INTEGER, puerto_villarroel_municipality___percentage_ VARCHAR, pojo_municipality___percentage_ VARCHAR)
SELECT SUM(pocona_municipality___percentage_) FROM table_name_6 WHERE puerto_villarroel_municipality___percentage_ > 14.6 AND pojo_municipality___percentage_ < 88.5
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 10496, 106, 9, 834, 11760, 3389, 10355, 834, 834, 834, 883, 3728, 545, 834, 3, 21342, 17966, 6, 4353, 49, 235, 834, 6372, 40, 19996, 15, 40, 834, 11760,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 10496, 106, 9, 834, 11760, 3389, 10355, 834, 834, 834, 883, 3728, 545, 834, 61, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 4353, 49, 235, 834, 6372, 40, 19996, 15, 40, 834, 11760, 3389, 10355,...
who 's name was listed the most under male winner 's .
CREATE TABLE table_203_872 ( id number, "year" number, "location(s)" text, "number of contestants" number, "ladies winner" text, "men's winner" text )
SELECT "men's winner" FROM table_203_872 GROUP BY "men's winner" ORDER BY COUNT(*) DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 4225, 357, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 14836, 599, 7, 61, 121, 1499, 6, 96, 5525, 1152, 13, 4233, 2366, 121, 381, 6, 96, 521, 7719, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 904, 31, 7, 4668, 121, 21680, 953, 834, 23330, 834, 4225, 357, 350, 4630, 6880, 272, 476, 96, 904, 31, 7, 4668, 121, 4674, 11300, 272, 476, 2847, 17161, 599, 1935, 61, 309, 25067, 8729, 12604, 209, 1, -100, -1...
Which player's pick number was 25?
CREATE TABLE table_name_79 ( player VARCHAR, pick__number VARCHAR )
SELECT player FROM table_name_79 WHERE pick__number = 25
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 1959, 584, 4280, 28027, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 1959, 31, 7, 1432, 381, 47, 944, 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, 1959, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 1432, 834, 834, 5525, 1152, 3274, 944, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What pick number did the New York Rangers have?
CREATE TABLE table_2897457_8 ( pick__number VARCHAR, nhl_team VARCHAR )
SELECT pick__number FROM table_2897457_8 WHERE nhl_team = "New York Rangers"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3914, 4581, 3436, 834, 927, 41, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 3, 29, 107, 40, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 36...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1432, 834, 834, 5525, 1152, 21680, 953, 834, 357, 3914, 4581, 3436, 834, 927, 549, 17444, 427, 3, 29, 107, 40, 834, 11650, 3274, 96, 6861, 1060, 12612, 277, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the Airport for New York City?
CREATE TABLE table_name_30 (airport VARCHAR, city VARCHAR)
SELECT airport FROM table_name_30 WHERE city = "new york"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 2256, 1493, 584, 4280, 28027, 6, 690, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 5735, 21, 368, 1060, 896, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3761, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 690, 3274, 96, 5534, 25453, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what was the next game after kcr on april 19th ?
CREATE TABLE table_203_536 ( id number, "#" number, "date" text, "opponent" text, "score" text, "win" text, "loss" text, "save" text, "crowd" number, "record" text )
SELECT "opponent" FROM table_203_536 WHERE id = (SELECT id FROM table_203_536 WHERE "date" = 'apr 19') + 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 755, 3420, 41, 3, 23, 26, 381, 6, 96, 4663, 121, 381, 6, 96, 5522, 121, 1499, 6, 96, 32, 102, 9977, 121, 1499, 6, 96, 7, 9022, 121, 1499, 6, 96, 3757, 121...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 32, 102, 9977, 121, 21680, 953, 834, 23330, 834, 755, 3420, 549, 17444, 427, 3, 23, 26, 3274, 41, 23143, 14196, 3, 23, 26, 21680, 953, 834, 23330, 834, 755, 3420, 549, 17444, 427, 96, 5522, 121, 3274, 3, 31, ...
What tournament was Kirk Triplett a runner-up in?
CREATE TABLE table_47426 ( "Date" text, "Tournament" text, "Winning score" text, "Margin of victory" text, "Runner(s)-up" text )
SELECT "Tournament" FROM table_47426 WHERE "Runner(s)-up" = 'kirk triplett'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4177, 591, 2688, 41, 96, 308, 342, 121, 1499, 6, 96, 382, 1211, 20205, 17, 121, 1499, 6, 96, 518, 10503, 2604, 121, 1499, 6, 96, 7286, 122, 77, 13, 6224, 121, 1499, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 382, 1211, 20205, 17, 121, 21680, 953, 834, 4177, 591, 2688, 549, 17444, 427, 96, 23572, 599, 7, 61, 18, 413, 121, 3274, 3, 31, 157, 12546, 12063, 17, 17, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the name when the local board is albert–eden, and a Decile of 9?
CREATE TABLE table_name_36 (name VARCHAR, local_board VARCHAR, decile VARCHAR)
SELECT name FROM table_name_36 WHERE local_board = "albert–eden" AND decile = "9"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 4350, 584, 4280, 28027, 6, 415, 834, 1976, 584, 4280, 28027, 6, 7908, 109, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 564, 116, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 564, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 415, 834, 1976, 3274, 96, 138, 7041, 104, 15, 537, 121, 3430, 7908, 109, 3274, 96, 1298, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the highest pick number for player don barber?
CREATE TABLE table_2679061_6 ( pick__number INTEGER, player VARCHAR )
SELECT MAX(pick__number) FROM table_2679061_6 WHERE player = "Don Barber"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3708, 2394, 4241, 834, 948, 41, 1432, 834, 834, 5525, 1152, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2030, 1432, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 17967, 834, 834, 5525, 1152, 61, 21680, 953, 834, 357, 3708, 2394, 4241, 834, 948, 549, 17444, 427, 1959, 3274, 96, 13843, 11038, 49, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the number of patients whose death status is 0 and diagnoses short title is cl skul base fx-coma nos?
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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "0" AND diagnoses.short_title = "Cl skul base fx-coma NOS"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 5...
What is the team 1 with tikve as team 2?
CREATE TABLE table_60078 ( "Team 1" text, "Agg." text, "Team 2" text, "1st leg" text, "2nd leg" text )
SELECT "Team 1" FROM table_60078 WHERE "Team 2" = 'tikveš'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 6007, 3940, 41, 96, 18699, 209, 121, 1499, 6, 96, 188, 4102, 535, 1499, 6, 96, 18699, 204, 121, 1499, 6, 96, 536, 7, 17, 4553, 121, 1499, 6, 96, 357, 727, 4553, 121, 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, 18699, 209, 121, 21680, 953, 834, 6007, 3940, 549, 17444, 427, 96, 18699, 204, 121, 3274, 3, 31, 4414, 162, 2, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
when they visited the hospital last time, has patient 033-250 received any medication?
CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospita...
SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '033-250' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.ho...
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2179, 9339, 41, 2179, 521, 9824, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 1543, 3585, 1499, 6, 9329, 1499, 6, 1543, 4914, 29, 715, 97, 3, 61, 3, 32102, 32103, 32102, 205, 4386, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 2490, 3, 632, 21680, 7757, 549, 17444, 427, 7757, 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,...
what date has the class of non-championship f2 as well as a driver name jos froil n gonz lez that has a position larger than 2?
CREATE TABLE table_74540 ( "Class" text, "Date" text, "Race" text, "Driver" text, "Position" real, "Team" text )
SELECT "Date" FROM table_74540 WHERE "Class" = 'non-championship f2' AND "Driver" = 'josé froilán gonzález' AND "Position" > '2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4581, 25379, 41, 96, 21486, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 448, 3302, 121, 1499, 6, 96, 20982, 52, 121, 1499, 6, 96, 345, 32, 7, 4749, 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, 308, 342, 121, 21680, 953, 834, 4581, 25379, 549, 17444, 427, 96, 21486, 121, 3274, 3, 31, 29, 106, 18, 17788, 12364, 2009, 3, 89, 357, 31, 3430, 96, 20982, 52, 121, 3274, 3, 31, 1927, 7, 154, 3, 6155, 173, ...
Who was the loser of the heavyweight division fight that lasted a time of 2:24?
CREATE TABLE table_name_10 (loser VARCHAR, weight_division VARCHAR, time VARCHAR)
SELECT loser FROM table_name_10 WHERE weight_division = "heavyweight" AND time = "2:24"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 2298, 49, 584, 4280, 28027, 6, 1293, 834, 26, 23, 6610, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 2615...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2615, 52, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 1293, 834, 26, 23, 6610, 3274, 96, 88, 19649, 9378, 121, 3430, 97, 3274, 96, 357, 10, 2266, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How much Hyndburn has a Fylde larger than 3?
CREATE TABLE table_name_52 ( hyndburn INTEGER, fylde INTEGER )
SELECT SUM(hyndburn) FROM table_name_52 WHERE fylde > 3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 3, 107, 63, 727, 7223, 3, 21342, 17966, 6, 3, 89, 63, 40, 221, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 231, 5555, 727, 7223, 65, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 107, 63, 727, 7223, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 3, 89, 63, 40, 221, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When the person died May 22, 1895 is the reason for vacancy what is the district?
CREATE TABLE table_26653 ( "District" text, "Vacator" text, "Reason for Vacancy" text, "Successor" text, "Date of successors taking office" text )
SELECT "District" FROM table_26653 WHERE "Reason for Vacancy" = 'Died May 22, 1895'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 4122, 519, 41, 96, 308, 23, 20066, 121, 1499, 6, 96, 25203, 1016, 121, 1499, 6, 96, 1649, 9, 739, 21, 3, 25203, 6833, 121, 1499, 6, 96, 134, 17431, 24901, 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, 308, 23, 20066, 121, 21680, 953, 834, 2688, 4122, 519, 549, 17444, 427, 96, 1649, 9, 739, 21, 3, 25203, 6833, 121, 3274, 3, 31, 8639, 26, 932, 12889, 507, 3301, 31, 1, -100, -100, -100, -100, -100, -100, -100,...
What catalog has the United Kingdom as the country?
CREATE TABLE table_name_9 ( catalog VARCHAR, country VARCHAR )
SELECT catalog FROM table_name_9 WHERE country = "united kingdom"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 10173, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 10173, 65, 8, 907, 6524, 38, 8, 684, 58, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 10173, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 684, 3274, 96, 15129, 15, 26, 14740, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
which CONMEBOL 1995 has a Supercopa 1995 of sf?
CREATE TABLE table_38604 ( "Team" text, "Recopa 1995" text, "Supercopa 1995" text, "CONMEBOL 1995" text, "Copa Libertadores 1996" text )
SELECT "CONMEBOL 1995" FROM table_38604 WHERE "Supercopa 1995" = 'sf'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3747, 3328, 591, 41, 96, 18699, 121, 1499, 6, 96, 1649, 10845, 9, 7273, 121, 1499, 6, 96, 23290, 10845, 9, 7273, 121, 1499, 6, 96, 17752, 4369, 279, 5194, 7273, 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, 17752, 4369, 279, 5194, 7273, 121, 21680, 953, 834, 3747, 3328, 591, 549, 17444, 427, 96, 23290, 10845, 9, 7273, 121, 3274, 3, 31, 7, 89, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the winning score when the tournament is safeco classic?
CREATE TABLE table_name_73 ( winning_score VARCHAR, tournament VARCHAR )
SELECT winning_score FROM table_name_73 WHERE tournament = "safeco classic"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 3447, 834, 7, 9022, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 3447, 2604, 116, 8, 5892, 19, 1346, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3447, 834, 7, 9022, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 5892, 3274, 96, 15233, 509, 2431, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the sum of Tujia population with the Zhangjiajie prefecture in Sangzhi county?
CREATE TABLE table_name_20 (tujia_population INTEGER, prefecture VARCHAR, county VARCHAR)
SELECT SUM(tujia_population) FROM table_name_20 WHERE prefecture = "zhangjiajie" AND county = "sangzhi"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 17, 76, 354, 23, 9, 834, 9791, 7830, 3, 21342, 17966, 6, 554, 4075, 1462, 584, 4280, 28027, 6, 5435, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 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, 180, 6122, 599, 17, 76, 354, 23, 9, 834, 9791, 7830, 61, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 554, 4075, 1462, 3274, 96, 172, 9270, 354, 23, 17815, 15, 121, 3430, 5435, 3274, 96, 7, 1468, 172, 107, ...
What is game 34's record?
CREATE TABLE table_name_11 ( record VARCHAR, game VARCHAR )
SELECT record FROM table_name_11 WHERE game = 34
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 1368, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 467, 6154, 31, 7, 1368, 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, 1368, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 467, 3274, 6154, 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...
Who took third-place when there were 4 total wins?
CREATE TABLE table_17632217_2 (third_place VARCHAR, total_wins VARCHAR)
SELECT third_place FROM table_17632217_2 WHERE total_wins = 4
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3891, 2884, 2517, 834, 357, 41, 14965, 834, 4687, 584, 4280, 28027, 6, 792, 834, 3757, 7, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 808, 1025, 18, 4687...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1025, 834, 4687, 21680, 953, 834, 2517, 3891, 2884, 2517, 834, 357, 549, 17444, 427, 792, 834, 3757, 7, 3274, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What are the active pixels of the cantare model?
CREATE TABLE table_76484 ( "Model" text, "Sensor Size" text, "Resolution" text, "Active Pixels" text, "Display" text )
SELECT "Active Pixels" FROM table_76484 WHERE "Model" = 'cantare'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3959, 3707, 591, 41, 96, 24663, 121, 1499, 6, 96, 134, 35, 7, 127, 8941, 121, 1499, 6, 96, 1649, 14913, 121, 1499, 6, 96, 13035, 15, 20005, 7, 121, 1499, 6, 96, 23664, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 13035, 15, 20005, 7, 121, 21680, 953, 834, 3959, 3707, 591, 549, 17444, 427, 96, 24663, 121, 3274, 3, 31, 1608, 17, 355, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many trains call at Castor, Overton, Peterborough East and are operated by LNWR?
CREATE TABLE table_12221135_3 (arrival VARCHAR, operator VARCHAR, calling_at VARCHAR)
SELECT COUNT(arrival) FROM table_12221135_3 WHERE operator = "LNWR" AND calling_at = "Castor, Overton, Peterborough East"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20889, 27278, 2469, 834, 519, 41, 291, 25295, 584, 4280, 28027, 6, 7221, 584, 4280, 28027, 6, 3874, 834, 144, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 291, 25295, 61, 21680, 953, 834, 20889, 27278, 2469, 834, 519, 549, 17444, 427, 7221, 3274, 96, 434, 567, 15472, 121, 3430, 3874, 834, 144, 3274, 96, 254, 9, 7279, 6, 2035, 17, 106, 6, 2737, 12823,...
What is the Award, when the Film/Show is East West 101, and when the year is before 2009, and when the Group is Logie Award?
CREATE TABLE table_name_96 ( award VARCHAR, group VARCHAR, film_show VARCHAR, year VARCHAR )
SELECT award FROM table_name_96 WHERE film_show = "east west 101" AND year < 2009 AND group = "logie award"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 2760, 584, 4280, 28027, 6, 563, 584, 4280, 28027, 6, 814, 834, 10049, 584, 4280, 28027, 6, 215, 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, 2760, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 814, 834, 10049, 3274, 96, 11535, 4653, 13736, 121, 3430, 215, 3, 2, 2464, 3430, 563, 3274, 96, 13170, 2760, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
Name the most overall rank for czech republic
CREATE TABLE table_29256 ( "Overall rank" real, "Country" text, "Overall life expectancy" real, "Male life expectancy" real, "Male rank" real, "Female life expectancy" real, "Female rank" real )
SELECT MAX("Overall rank") FROM table_29256 WHERE "Country" = 'Czech Republic'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3166, 19337, 41, 96, 23847, 1748, 11003, 121, 490, 6, 96, 10628, 651, 121, 1499, 6, 96, 23847, 1748, 280, 1672, 6833, 121, 490, 6, 96, 329, 9, 109, 280, 1672, 6833, 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, 4800, 4, 599, 121, 23847, 1748, 11003, 8512, 21680, 953, 834, 3166, 19337, 549, 17444, 427, 96, 10628, 651, 121, 3274, 3, 31, 254, 776, 524, 5750, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the record when the score was w 108 93 (ot)?
CREATE TABLE table_13619135_5 ( record VARCHAR, score VARCHAR )
SELECT record FROM table_13619135_5 WHERE score = "W 108–93 (OT)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23459, 2294, 536, 2469, 834, 755, 41, 1368, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 1368, 116, 8, 2604, 47, 3, 210, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 23459, 2294, 536, 2469, 834, 755, 549, 17444, 427, 2604, 3274, 96, 518, 3, 16169, 104, 4271, 41, 6951, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score for the home team that played at Brunswick Street Oval?
CREATE TABLE table_name_52 ( home_team VARCHAR, venue VARCHAR )
SELECT home_team AS score FROM table_name_52 WHERE venue = "brunswick street oval"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 234, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 2604, 21, 8, 234, 372, 24, 1944, 44, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 5669, 3274, 96, 9052, 29, 7, 5981, 2815, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
how many of the mountains have an elevation above 3,300 ft ?
CREATE TABLE table_203_808 ( id number, "rank" number, "peak name" text, "elevation" text, "location" text, "notes" text )
SELECT COUNT("peak name") FROM table_203_808 WHERE "elevation" > 3300
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 2079, 927, 41, 3, 23, 26, 381, 6, 96, 6254, 121, 381, 6, 96, 14661, 564, 121, 1499, 6, 96, 15, 10912, 257, 121, 1499, 6, 96, 14836, 121, 1499, 6, 96, 7977, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 14661, 564, 8512, 21680, 953, 834, 23330, 834, 2079, 927, 549, 17444, 427, 96, 15, 10912, 257, 121, 2490, 220, 5426, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What are the titles of segment c for series episode is 21-08?
CREATE TABLE table_15187735_21 ( segment_c VARCHAR, series_ep VARCHAR )
SELECT segment_c FROM table_15187735_21 WHERE series_ep = "21-08"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26578, 27697, 2469, 834, 2658, 41, 5508, 834, 75, 584, 4280, 28027, 6, 939, 834, 15, 102, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 8, 8342, 13, 5508...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5508, 834, 75, 21680, 953, 834, 26578, 27697, 2469, 834, 2658, 549, 17444, 427, 939, 834, 15, 102, 3274, 96, 2658, 18, 4018, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Result with a Category of album of the year in a Year that is 2011?
CREATE TABLE table_name_47 (result VARCHAR, category VARCHAR, year VARCHAR)
SELECT result FROM table_name_47 WHERE category = "album of the year" AND year = 2011
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 3295, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 3, 20119, 28, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 3295, 3274, 96, 23703, 13, 8, 215, 121, 3430, 215, 3274, 2722, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
who was the breeder of the 1941 triple crown winner ?
CREATE TABLE table_200_3 ( id number, "year" number, "winner" text, "jockey" text, "trainer" text, "owner" text, "breeder" text )
SELECT "breeder" FROM table_200_3 WHERE "year" = 1941
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3632, 834, 519, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 3757, 687, 121, 1499, 6, 96, 1927, 75, 4397, 121, 1499, 6, 96, 9719, 49, 121, 1499, 6, 96, 13238, 12...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 1999, 15, 588, 121, 21680, 953, 834, 3632, 834, 519, 549, 17444, 427, 96, 1201, 121, 3274, 24822, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
With an aggregate of 0-2, what is listed for home?
CREATE TABLE table_22030 ( "Home (1st leg)" text, "Home (2nd leg)" text, "1st Leg" text, "2nd leg" text, "Aggregate" text )
SELECT "Home (2nd leg)" FROM table_22030 WHERE "Aggregate" = '0-2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 1755, 1458, 41, 96, 19040, 4077, 7, 17, 4553, 61, 121, 1499, 6, 96, 19040, 4743, 727, 4553, 61, 121, 1499, 6, 96, 536, 7, 17, 18978, 121, 1499, 6, 96, 357, 727, 45...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4743, 727, 4553, 61, 121, 21680, 953, 834, 357, 1755, 1458, 549, 17444, 427, 96, 188, 122, 18301, 342, 121, 3274, 3, 31, 632, 4949, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Avg/G is the lowest one that has a Long larger than 8, and a Loss smaller than 34, and a Gain larger than 16, and a Name of bullock, chris?
CREATE TABLE table_name_52 ( avg_g INTEGER, name VARCHAR, gain VARCHAR, long VARCHAR, loss VARCHAR )
SELECT MIN(avg_g) FROM table_name_52 WHERE long > 8 AND loss < 34 AND gain > 16 AND name = "bullock, chris"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 3, 9, 208, 122, 834, 122, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 6, 2485, 584, 4280, 28027, 6, 307, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9, 208, 122, 834, 122, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 307, 2490, 505, 3430, 1453, 3, 2, 6154, 3430, 2485, 2490, 898, 3430, 564, 3274, 96, 6724, 4029, 6, 3, 524, 52, 159, 12...
, order by the bars from low to high.
CREATE TABLE buildings ( id int, name text, City text, Height int, Stories int, Status text ) CREATE TABLE Office_locations ( building_id int, company_id int, move_in_year int ) CREATE TABLE Companies ( id int, name text, Headquarters text, Industry text, Sales_...
SELECT Industry, COUNT(*) FROM Companies GROUP BY Industry ORDER BY Industry
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3950, 41, 3, 23, 26, 16, 17, 6, 564, 1499, 6, 896, 1499, 6, 24231, 16, 17, 6, 20406, 16, 17, 6, 19318, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 2126, 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, 9036, 6, 2847, 17161, 599, 1935, 61, 21680, 11239, 350, 4630, 6880, 272, 476, 9036, 4674, 11300, 272, 476, 9036, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the stadium in Adelaide, South Australia built for?
CREATE TABLE table_28885977_1 ( built_for VARCHAR, location VARCHAR )
SELECT built_for FROM table_28885977_1 WHERE location = "Adelaide, South Australia"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 10927, 3390, 4013, 834, 536, 41, 1192, 834, 1161, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 14939, 16, 24272, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1192, 834, 1161, 21680, 953, 834, 357, 10927, 3390, 4013, 834, 536, 549, 17444, 427, 1128, 3274, 96, 188, 221, 40, 5385, 6, 1013, 2051, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who has rank 5?
CREATE TABLE table_name_23 (name VARCHAR, rank VARCHAR)
SELECT name FROM table_name_23 WHERE rank = 5
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 4350, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 65, 11003, 305, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 564, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 11003, 3274, 305, 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...
Show all allergy types and the number of allergies in each type Plot them as bar chart, and rank bars in ascending order.
CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20) ) CREATE TABLE Allergy_Type ( Allergy VARCHAR(20), ...
SELECT AllergyType, COUNT(*) FROM Allergy_Type GROUP BY AllergyType ORDER BY AllergyType
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6341, 41, 3, 13076, 4309, 3, 21342, 17966, 6, 301, 23954, 584, 4280, 28027, 599, 2122, 201, 377, 4350, 584, 4280, 28027, 599, 2122, 201, 7526, 3, 21342, 17966, 6, 679, 226, 584, 4280, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 432, 49, 122, 63, 25160, 6, 2847, 17161, 599, 1935, 61, 21680, 432, 49, 122, 63, 834, 25160, 350, 4630, 6880, 272, 476, 432, 49, 122, 63, 25160, 4674, 11300, 272, 476, 432, 49, 122, 63, 25160, 1, -100, -100, -100,...
how many patients had been discharged from hospital during this year?
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 intakeoutput ( in...
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE NOT patient.hospitaldischargetime IS NULL AND DATETIME(patient.hospitaldischargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')
[ 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, 2847, 17161, 599, 15438, 25424, 6227, 1868, 5, 202, 1495, 12417, 61, 21680, 1868, 549, 17444, 427, 4486, 1868, 5, 31386, 26, 159, 7993, 715, 6827, 13046, 10376, 3430, 309, 6048, 382, 15382, 599, 10061, 5, 31386, 26, 1...
What is the sum of the swimsuit scores from Missouri that have evening gown scores less than 8.77 and average scores less than 8.823?
CREATE TABLE table_name_77 ( swimsuit INTEGER, average VARCHAR, evening_gown VARCHAR, state VARCHAR )
SELECT SUM(swimsuit) FROM table_name_77 WHERE evening_gown < 8.77 AND state = "missouri" AND average < 8.823
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 9728, 7628, 3, 21342, 17966, 6, 1348, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 6, 538, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 7, 210, 603, 7628, 61, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 2272, 834, 122, 9197, 3, 2, 4848, 4013, 3430, 538, 3274, 96, 11502, 32, 459, 121, 3430, 1348, 3, 2, 4848, 4613, 519, 1, -...
A bar chart for listing the number of the names of technicians in ascending order of age.
CREATE TABLE technician ( technician_id real, Name text, Team text, Starting_Year real, Age int ) CREATE TABLE machine ( Machine_ID int, Making_Year int, Class text, Team text, Machine_series text, value_points real, quality_rank int ) CREATE TABLE repair ( repair_I...
SELECT Name, COUNT(Name) FROM technician GROUP BY Name ORDER BY Age
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 17730, 41, 17730, 834, 23, 26, 490, 6, 5570, 1499, 6, 2271, 1499, 6, 14362, 834, 476, 2741, 490, 6, 7526, 16, 17, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 1437, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 5570, 6, 2847, 17161, 599, 23954, 61, 21680, 17730, 350, 4630, 6880, 272, 476, 5570, 4674, 11300, 272, 476, 7526, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Incumbent has a District of California 8?
CREATE TABLE table_name_75 (incumbent VARCHAR, district VARCHAR)
SELECT incumbent FROM table_name_75 WHERE district = "california 8"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 77, 75, 5937, 295, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 1542, 5937, 295, 65, 3, 9, 3570, 13, 1826, 505...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 28406, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 3939, 3274, 96, 15534, 1161, 29, 23, 9, 505, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
what is the tallest peak in the alps ?
CREATE TABLE table_204_84 ( id number, "no" number, "peak" text, "location" text, "elevation (m)" number, "prominence (m)" number, "col height (m)" number, "col location" text, "parent" text )
SELECT "peak" FROM table_204_84 ORDER BY "elevation (m)" DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 4608, 41, 3, 23, 26, 381, 6, 96, 29, 32, 121, 381, 6, 96, 14661, 121, 1499, 6, 96, 14836, 121, 1499, 6, 96, 15, 10912, 257, 41, 51, 61, 121, 381, 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, 14661, 121, 21680, 953, 834, 26363, 834, 4608, 4674, 11300, 272, 476, 96, 15, 10912, 257, 41, 51, 61, 121, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the range (varies by payload weight) for the unknown player?
CREATE TABLE table_8748 ( "Name/Designation" text, "Class" text, "Range (varies with payload weight)" text, "Payload" text, "Status" text )
SELECT "Range (varies with payload weight)" FROM table_8748 WHERE "Payload" = 'unknown'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4225, 3707, 41, 96, 23954, 87, 19103, 257, 121, 1499, 6, 96, 21486, 121, 1499, 6, 96, 448, 3280, 41, 15550, 28, 726, 7134, 1293, 61, 121, 1499, 6, 96, 19702, 7134, 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, 448, 3280, 41, 15550, 28, 726, 7134, 1293, 61, 121, 21680, 953, 834, 4225, 3707, 549, 17444, 427, 96, 19702, 7134, 121, 3274, 3, 31, 202, 5661, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what was the next locomotive to be withdrawn after locomotive 4106
CREATE TABLE table_203_27 ( id number, "number" number, "serial no" number, "entered service" text, "withdrawn" text, "kilometres travelled" number )
SELECT "number" FROM table_203_27 WHERE "withdrawn" > (SELECT "withdrawn" FROM table_203_27 WHERE "number" = 4106) ORDER BY "withdrawn" LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 2555, 41, 3, 23, 26, 381, 6, 96, 5525, 1152, 121, 381, 6, 96, 7, 15, 12042, 150, 121, 381, 6, 96, 35, 11196, 313, 121, 1499, 6, 96, 28032, 121, 1499, 6, 9...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 5525, 1152, 121, 21680, 953, 834, 23330, 834, 2555, 549, 17444, 427, 96, 28032, 121, 2490, 41, 23143, 14196, 96, 28032, 121, 21680, 953, 834, 23330, 834, 2555, 549, 17444, 427, 96, 5525, 1152, 121, 3274, 3, 24175,...
Return a bar chart about the number of companies for each industry.
CREATE TABLE company ( Company_ID real, Name text, Headquarters text, Industry text, Sales_in_Billion real, Profits_in_Billion real, Assets_in_Billion real, Market_Value_in_Billion real ) CREATE TABLE people ( People_ID int, Age int, Name text, Nationality text, Grad...
SELECT Industry, COUNT(Industry) FROM company GROUP BY Industry
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 349, 41, 1958, 834, 4309, 490, 6, 5570, 1499, 6, 31282, 1499, 6, 9036, 1499, 6, 7107, 834, 77, 834, 279, 14916, 490, 6, 14717, 7, 834, 77, 834, 279, 14916, 490, 6, 18202, 7, 834, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 9036, 6, 2847, 17161, 599, 1570, 8655, 8224, 61, 21680, 349, 350, 4630, 6880, 272, 476, 9036, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
A pie chart shows the proportion of Sex and the sum of Height.
CREATE TABLE people ( People_ID int, Sex text, Name text, Date_of_Birth text, Height real, Weight real ) CREATE TABLE candidate ( Candidate_ID int, People_ID int, Poll_Source text, Date text, Support_rate real, Consider_rate real, Oppose_rate real, Unsure_rate re...
SELECT Sex, SUM(Height) FROM people GROUP BY Sex
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 151, 41, 2449, 834, 4309, 16, 17, 6, 679, 226, 1499, 6, 5570, 1499, 6, 7678, 834, 858, 834, 279, 23, 52, 189, 1499, 6, 24231, 490, 6, 14230, 490, 3, 61, 3, 32102, 32103, 32102, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 679, 226, 6, 180, 6122, 599, 3845, 2632, 61, 21680, 151, 350, 4630, 6880, 272, 476, 679, 226, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
patients with type i diabetes mellitus or uncontrolled t2dm ( hba1c > 11 % )
CREATE TABLE table_train_199 ( "id" int, "t2dm" bool, "hemoglobin_a1c_hba1c" float, "renal_disease" bool, "diabetic" string, "hypoglycemia" bool, "diabetes" bool, "seizure_disorder" bool, "glaucoma" bool, "hypertension" bool, "age" float, "NOUSE" float )
SELECT * FROM table_train_199 WHERE diabetic = 'i' OR t2dm = 1 OR hemoglobin_a1c_hba1c > 11
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9719, 834, 19479, 41, 96, 23, 26, 121, 16, 17, 6, 96, 17, 357, 26, 51, 121, 3, 12840, 40, 6, 96, 6015, 32, 14063, 77, 834, 9, 536, 75, 834, 107, 115, 9, 536, 75, 12...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1429, 21680, 953, 834, 9719, 834, 19479, 549, 17444, 427, 17496, 447, 3274, 3, 31, 23, 31, 4674, 3, 17, 357, 26, 51, 3274, 209, 4674, 24731, 14063, 77, 834, 9, 536, 75, 834, 107, 115, 9, 536, 75, 2490, 850, 1, ...
What district is St Martin's Without parish in with a population less than 75?
CREATE TABLE table_name_73 ( district VARCHAR, population VARCHAR, name VARCHAR )
SELECT district FROM table_name_73 WHERE population < 75 AND name = "st martin's without"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 3939, 584, 4280, 28027, 6, 2074, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 3939, 19, 472, 3394, 31, 7, 640...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3939, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 2074, 3, 2, 6374, 3430, 564, 3274, 96, 7, 17, 3157, 17, 77, 31, 7, 406, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
count the number of patients whose admission type is elective and procedure icd9 code is 3972?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text,...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.icd9_code = "3972"
[ 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,...
What is the High rebounds with a High assists with bryant (7), and a Team of @ utah?
CREATE TABLE table_77504 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Series" text )
SELECT "High rebounds" FROM table_77504 WHERE "High assists" = 'bryant (7)' AND "Team" = '@ utah'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4013, 1752, 591, 41, 96, 23055, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 21417, 979, 121, 1499, 6, 96, 21417, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 21417, 3, 23768, 121, 21680, 953, 834, 4013, 1752, 591, 549, 17444, 427, 96, 21417, 13041, 121, 3274, 3, 31, 115, 651, 288, 3, 24358, 31, 3430, 96, 18699, 121, 3274, 3, 31, 1741, 3, 76, 17, 9, 107, 31, 1, ...
What's the report for the Silverstone circuit?
CREATE TABLE table_1140117_5 ( report VARCHAR, circuit VARCHAR )
SELECT report FROM table_1140117_5 WHERE circuit = "Silverstone"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2596, 2445, 20275, 834, 755, 41, 934, 584, 4280, 28027, 6, 4558, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, 934, 21, 8, 5642, 3009, 4558, 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, 934, 21680, 953, 834, 2596, 2445, 20275, 834, 755, 549, 17444, 427, 4558, 3274, 96, 134, 173, 624, 3009, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many silvers have more than 2 golds?
CREATE TABLE table_65826 ( "Rank" real, "Nation" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT COUNT("Silver") FROM table_65826 WHERE "Gold" > '2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 948, 3449, 2688, 41, 96, 22557, 121, 490, 6, 96, 567, 257, 121, 1499, 6, 96, 23576, 121, 490, 6, 96, 134, 173, 624, 121, 490, 6, 96, 22780, 29, 776, 121, 490, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 134, 173, 624, 8512, 21680, 953, 834, 948, 3449, 2688, 549, 17444, 427, 96, 23576, 121, 2490, 3, 31, 357, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Laid down has a Ship of fearless?
CREATE TABLE table_67044 ( "Ship" text, "Pennant number" text, "Laid down" text, "Launched" text, "Commissioned" text )
SELECT "Laid down" FROM table_67044 WHERE "Ship" = 'fearless'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3708, 632, 3628, 41, 96, 134, 10462, 121, 1499, 6, 96, 345, 35, 29, 288, 381, 121, 1499, 6, 96, 434, 6146, 323, 121, 1499, 6, 96, 3612, 202, 4513, 121, 1499, 6, 96, 589...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 434, 6146, 323, 121, 21680, 953, 834, 3708, 632, 3628, 549, 17444, 427, 96, 134, 10462, 121, 3274, 3, 31, 89, 2741, 924, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the attendance of the match with rosso kumamoto as the away team?
CREATE TABLE table_40527 ( "Match No." text, "Home Team" text, "Score" text, "Away Team" text, "Attendance" text )
SELECT "Attendance" FROM table_40527 WHERE "Away Team" = 'rosso kumamoto'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 3076, 2555, 41, 96, 329, 14547, 465, 535, 1499, 6, 96, 19040, 2271, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 188, 1343, 2271, 121, 1499, 6, 96, 188, 17, 324, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 188, 17, 324, 26, 663, 121, 21680, 953, 834, 591, 3076, 2555, 549, 17444, 427, 96, 188, 1343, 2271, 121, 3274, 3, 31, 1859, 7, 32, 3, 157, 440, 9, 11188, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100...
What is the verb meaning for *bar as Part 2?
CREATE TABLE table_50828 ( "Class" text, "Part 1" text, "Part 2" text, "Part 3" text, "Part 4" text, "Verb meaning" text )
SELECT "Verb meaning" FROM table_50828 WHERE "Part 2" = '*bar'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1752, 927, 2577, 41, 96, 21486, 121, 1499, 6, 96, 13725, 209, 121, 1499, 6, 96, 13725, 204, 121, 1499, 6, 96, 13725, 220, 121, 1499, 6, 96, 13725, 3, 20364, 1499, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 5000, 115, 2530, 121, 21680, 953, 834, 1752, 927, 2577, 549, 17444, 427, 96, 13725, 204, 121, 3274, 3, 31, 1935, 1047, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which director made Mi-temps?
CREATE TABLE table_name_13 ( director_s_ VARCHAR, film VARCHAR )
SELECT director_s_ FROM table_name_13 WHERE film = "mi-temps"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 2090, 834, 7, 834, 584, 4280, 28027, 6, 814, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 2090, 263, 2133, 18, 15076, 7, 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, 2090, 834, 7, 834, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 814, 3274, 96, 51, 23, 18, 15076, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
provide the number of patients whose admission year is less than 2168 and diagnoses long title is hepatitis, unspecified?
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 prescriptions ( subject_id text, hadm_id...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2168" AND diagnoses.long_title = "Hepatitis, unspecified"
[ 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, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 5...
WHAT IS THE TRANSFER WINDOW FOR THE COUNTRY OF BRA?
CREATE TABLE table_name_12 ( transfer_window VARCHAR, country VARCHAR )
SELECT transfer_window FROM table_name_12 WHERE country = "bra"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 2025, 834, 5165, 2381, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 21665, 6827, 1853, 26585, 20805, 549, 13885, 15251...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2025, 834, 5165, 2381, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 684, 3274, 96, 1939, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many locations had a density (pop/km ) of 91.8 in the 2011 census?
CREATE TABLE table_19211 ( "Name" text, "2011 Census" real, "2006 Census" real, "% change" text, "Land area (km\u00b2)" text, "Density (pop/km\u00b2)" text, "Population rank" real )
SELECT COUNT("2011 Census") FROM table_19211 WHERE "Density (pop/km\u00b2)" = '91.8'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 19978, 2596, 41, 96, 23954, 121, 1499, 6, 96, 13907, 23086, 121, 490, 6, 96, 21196, 23086, 121, 490, 6, 96, 1454, 483, 121, 1499, 6, 96, 434, 232, 616, 41, 5848, 2, 76, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 13907, 23086, 8512, 21680, 953, 834, 19978, 2596, 549, 17444, 427, 96, 308, 35, 7, 485, 41, 9791, 87, 5848, 2, 76, 1206, 115, 7318, 121, 3274, 3, 31, 1298, 16253, 31, 1, -100, -100, -100, -1...
What country won in 1993?
CREATE TABLE table_name_28 (country VARCHAR, year_s__won VARCHAR)
SELECT country FROM table_name_28 WHERE year_s__won = "1993"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 17529, 584, 4280, 28027, 6, 215, 834, 7, 834, 834, 210, 106, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 684, 751, 16, 8388, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 215, 834, 7, 834, 834, 210, 106, 3274, 96, 2294, 4271, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the average year during which the score was 270?
CREATE TABLE table_name_7 (year INTEGER, score VARCHAR)
SELECT AVG(year) FROM table_name_7 WHERE score = 270
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 1201, 3, 21342, 17966, 6, 2604, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 1348, 215, 383, 84, 8, 2604, 47, 3, 17485, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 1201, 61, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 2604, 3274, 3, 17485, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what year did david whitfield win
CREATE TABLE table_name_14 (year VARCHAR, artist VARCHAR)
SELECT year FROM table_name_14 WHERE artist = "david whitfield"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 1201, 584, 4280, 28027, 6, 2377, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 125, 215, 410, 836, 6961, 3, 12124, 17, 1846, 1369, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 215, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 2377, 3274, 96, 26, 9, 6961, 3, 12124, 17, 1846, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the social democratic party for labour
CREATE TABLE table_19959 ( "Election" real, "Labour" real, "Conservative" real, "Liberal" real, "Social Democratic Party" real, "Social and Liberal Democrats/ Liberal Democrats" real, "Independent" real, "Green" real, "Other" text, "Control" text )
SELECT "Social Democratic Party" FROM table_19959 WHERE "Control" = 'Labour'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 19479, 3390, 41, 96, 427, 12252, 121, 490, 6, 96, 18506, 1211, 121, 490, 6, 96, 4302, 3473, 1528, 121, 490, 6, 96, 14615, 49, 138, 121, 490, 6, 96, 5231, 4703, 10021, 345...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 5231, 4703, 10021, 3450, 121, 21680, 953, 834, 19479, 3390, 549, 17444, 427, 96, 25716, 121, 3274, 3, 31, 18506, 1211, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
In which season did Sweden get third overall while Russia had the men's win?
CREATE TABLE table_14610 ( "Season" text, "Winner" text, "Runner-up" text, "Third" text, "Winner Men" text, "Winner Women" text )
SELECT "Season" FROM table_14610 WHERE "Third" = 'sweden' AND "Winner Men" = 'russia'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24300, 1714, 41, 96, 134, 15, 9, 739, 121, 1499, 6, 96, 18455, 687, 121, 1499, 6, 96, 23572, 18, 413, 121, 1499, 6, 96, 382, 9288, 26, 121, 1499, 6, 96, 18455, 687, 313...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15, 9, 739, 121, 21680, 953, 834, 24300, 1714, 549, 17444, 427, 96, 382, 9288, 26, 121, 3274, 3, 31, 7, 1123, 537, 31, 3430, 96, 18455, 687, 3137, 121, 3274, 3, 31, 26165, 31, 1, -100, -100, -100, -100,...
Which school has the smallest amount of professors?
CREATE TABLE employee ( emp_num number, emp_lname text, emp_fname text, emp_initial text, emp_jobcode text, emp_hiredate time, emp_dob time ) CREATE TABLE department ( dept_code text, dept_name text, school_code text, emp_num number, dept_address text, dept_extension...
SELECT T1.school_code FROM department AS T1 JOIN professor AS T2 ON T1.dept_code = T2.dept_code GROUP BY T1.school_code ORDER BY COUNT(*) LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3490, 41, 8943, 834, 5525, 381, 6, 8943, 834, 40, 4350, 1499, 6, 8943, 834, 89, 4350, 1499, 6, 8943, 834, 77, 23, 10646, 1499, 6, 8943, 834, 16899, 4978, 1499, 6, 8943, 834, 9288, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6646, 834, 4978, 21680, 3066, 6157, 332, 536, 3, 15355, 3162, 5812, 6157, 332, 357, 9191, 332, 5411, 26, 6707, 834, 4978, 3274, 332, 4416, 26, 6707, 834, 4978, 350, 4630, 6880, 272, 476, 332, 5411, 6646, ...
Who is the head coach of the team located in Mudgeeraba?
CREATE TABLE table_10445 ( "Team" text, "Head Coach" text, "President" text, "Home Ground" text, "Location" text )
SELECT "Head Coach" FROM table_10445 WHERE "Location" = 'mudgeeraba'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 15442, 2128, 41, 96, 18699, 121, 1499, 6, 96, 3845, 9, 26, 9493, 121, 1499, 6, 96, 345, 15704, 121, 1499, 6, 96, 19040, 13908, 121, 1499, 6, 96, 434, 32, 75, 257, 121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 3845, 9, 26, 9493, 121, 21680, 953, 834, 15442, 2128, 549, 17444, 427, 96, 434, 32, 75, 257, 121, 3274, 3, 31, 51, 13164, 49, 8699, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the numbers for date of feb 27, 1996
CREATE TABLE table_1594772_2 (s_no VARCHAR, match_date VARCHAR)
SELECT s_no FROM table_1594772_2 WHERE match_date = "Feb 27, 1996"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27904, 4177, 5865, 834, 357, 41, 7, 834, 29, 32, 584, 4280, 28027, 6, 1588, 834, 5522, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 2302, 21, 833, 13, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 7, 834, 29, 32, 21680, 953, 834, 27904, 4177, 5865, 834, 357, 549, 17444, 427, 1588, 834, 5522, 3274, 96, 371, 15, 115, 14141, 6911, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the graduation rate for the school district with headquarters located in Sydney?
CREATE TABLE table_21514460_1 (graduation_rate__2011_12_ VARCHAR, headquarters VARCHAR)
SELECT graduation_rate__2011_12_ FROM table_21514460_1 WHERE headquarters = "Sydney"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 1808, 20885, 3328, 834, 536, 41, 3987, 76, 257, 834, 2206, 834, 834, 13907, 834, 2122, 834, 584, 4280, 28027, 6, 13767, 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, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 14027, 834, 2206, 834, 834, 13907, 834, 2122, 834, 21680, 953, 834, 357, 1808, 20885, 3328, 834, 536, 549, 17444, 427, 13767, 3274, 96, 134, 63, 26, 3186, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the date of the omloop van de vlaamse scheldeboorden race with a UCI rating of 1.1?
CREATE TABLE table_name_22 (date VARCHAR, uci_rating VARCHAR, race_name VARCHAR)
SELECT date FROM table_name_22 WHERE uci_rating = "1.1" AND race_name = "omloop van de vlaamse scheldeboorden"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 5522, 584, 4280, 28027, 6, 3, 6809, 834, 52, 1014, 584, 4280, 28027, 6, 1964, 834, 4350, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 3, 6809, 834, 52, 1014, 3274, 96, 11039, 121, 3430, 1964, 834, 4350, 3274, 96, 32, 51, 40, 6631, 4049, 20, 3, 208, 521, 265, 7, 15, 3, 7, 8738, 221, 12840,...
what car was driven by the top ranked driver ?
CREATE TABLE table_203_854 ( id number, "position" number, "driver" text, "no." text, "car" text, "entrant" text, "rd 1" number, "rd 2" number, "rd 3" number, "rd 4" number, "rd 5" number, "rd 6" number, "rd 7" number, "rd 8" number, "total" number )
SELECT "car" FROM table_203_854 WHERE "position" = 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 4433, 591, 41, 3, 23, 26, 381, 6, 96, 4718, 121, 381, 6, 96, 13739, 52, 121, 1499, 6, 96, 29, 32, 535, 1499, 6, 96, 1720, 121, 1499, 6, 96, 295, 3569, 121...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 1720, 121, 21680, 953, 834, 23330, 834, 4433, 591, 549, 17444, 427, 96, 4718, 121, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Series has Poles of 0, and Races of 17?
CREATE TABLE table_37154 ( "Season" real, "Series" text, "Team Name" text, "Races" text, "Wins" text, "Poles" text, "F/Laps" text, "Podiums" text, "Points" text, "Final Placing" text )
SELECT "Series" FROM table_37154 WHERE "Poles" = '0' AND "Races" = '17'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4118, 27308, 41, 96, 134, 15, 9, 739, 121, 490, 6, 96, 12106, 7, 121, 1499, 6, 96, 18699, 5570, 121, 1499, 6, 96, 448, 9, 2319, 121, 1499, 6, 96, 18455, 7, 121, 1499, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 12106, 7, 121, 21680, 953, 834, 4118, 27308, 549, 17444, 427, 96, 8931, 15, 7, 121, 3274, 3, 31, 632, 31, 3430, 96, 448, 9, 2319, 121, 3274, 3, 31, 2517, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100...
What is the total 2008 value with a 2006 value greater than 322.7, a 353.9 in 2011, and a 2009 less than 392?
CREATE TABLE table_name_53 ( Id VARCHAR )
SELECT COUNT(2008) FROM table_name_53 WHERE 2006 > 322.7 AND 2011 = 353.9 AND 2009 < 392
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 27, 26, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 792, 2628, 701, 28, 3, 9, 3581, 701, 2123, 145, 3538, 21280, 6, 3, 9, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 16128, 61, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 3581, 2490, 3538, 21280, 3430, 2722, 3274, 3097, 28640, 3430, 2464, 3, 2, 220, 4508, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
what is the soap opera when the actor is dave duffy?
CREATE TABLE table_63894 ( "Actor" text, "Character" text, "Soap Opera" text, "Years" text, "Duration" text )
SELECT "Soap Opera" FROM table_63894 WHERE "Actor" = 'dave duffy'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3891, 3914, 591, 41, 96, 188, 5317, 121, 1499, 6, 96, 18947, 2708, 49, 121, 1499, 6, 96, 5231, 9, 102, 6411, 121, 1499, 6, 96, 476, 2741, 7, 121, 1499, 6, 96, 12998, 26...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 5231, 9, 102, 6411, 121, 21680, 953, 834, 3891, 3914, 591, 549, 17444, 427, 96, 188, 5317, 121, 3274, 3, 31, 26, 9, 162, 146, 20334, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which College has Player Mark Brown and a Pick # greater than 195?
CREATE TABLE table_name_63 (college VARCHAR, pick__number VARCHAR, player VARCHAR)
SELECT college FROM table_name_63 WHERE pick__number > 195 AND player = "mark brown"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 3297, 7883, 584, 4280, 28027, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 1888, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1900, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 1432, 834, 834, 5525, 1152, 2490, 3, 22464, 3430, 1959, 3274, 96, 3920, 4216, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...