NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
Which opponent has a record of 5-0-1?
CREATE TABLE table_name_10 ( opponent VARCHAR, record VARCHAR )
SELECT opponent FROM table_name_10 WHERE record = "5-0-1"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 15264, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 15264, 65, 3, 9, 1368, 13, 3, 29325, 2292, 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, 15264, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 1368, 3274, 96, 29325, 2292, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is teh average rank of the city of mashhad, which had less than 667770 in 1976?
CREATE TABLE table_45532 ( "Rank" real, "City" text, "Province" text, "Date of Official Foundation of Municipality" real, "2006" real, "1996" real, "1986" real, "1976" real, "1966" real, "1956" real )
SELECT AVG("Rank") FROM table_45532 WHERE "City" = 'mashhad' AND "1976" < '667770'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2128, 4867, 357, 41, 96, 22557, 121, 490, 6, 96, 254, 485, 121, 1499, 6, 96, 3174, 2494, 565, 121, 1499, 6, 96, 308, 342, 13, 13686, 2941, 13, 16492, 485, 121, 490, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 121, 22557, 8512, 21680, 953, 834, 2128, 4867, 357, 549, 17444, 427, 96, 254, 485, 121, 3274, 3, 31, 51, 3198, 8399, 31, 3430, 96, 2294, 3959, 121, 3, 2, 3, 31, 3539, 4013, 2518, 31, 1, -100, -10...
What is the Length, when the Composer(s) is Sakdatorn, and when the Arranger(s) is Jitrakorn Mongkoltham?
CREATE TABLE table_9113 ( "Title" text, "Lyricist(s)" text, "Composer(s)" text, "Arranger(s)" text, "Length" text )
SELECT "Length" FROM table_9113 WHERE "Composer(s)" = 'sakdatorn' AND "Arranger(s)" = 'jitrakorn mongkoltham'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4729, 2368, 41, 96, 382, 155, 109, 121, 1499, 6, 96, 434, 63, 2234, 343, 599, 7, 61, 121, 1499, 6, 96, 5890, 2748, 49, 599, 7, 61, 121, 1499, 6, 96, 28150, 9, 9369, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 434, 4606, 189, 121, 21680, 953, 834, 4729, 2368, 549, 17444, 427, 96, 5890, 2748, 49, 599, 7, 61, 121, 3274, 3, 31, 7, 1639, 26, 1016, 29, 31, 3430, 96, 28150, 9, 9369, 599, 7, 61, 121, 3274, 3, 31, 13272...
Which Surface has a Score of 6 4, 6 2?
CREATE TABLE table_36764 ( "Outcome" text, "Date" text, "Tournament" text, "Surface" text, "Opponent" text, "Score" text )
SELECT "Surface" FROM table_36764 WHERE "Score" = '6–4, 6–2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3420, 3959, 591, 41, 96, 15767, 287, 15, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 382, 1211, 20205, 17, 121, 1499, 6, 96, 134, 450, 4861, 121, 1499, 6, 96, 667, 10...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 450, 4861, 121, 21680, 953, 834, 3420, 3959, 591, 549, 17444, 427, 96, 134, 9022, 121, 3274, 3, 31, 948, 104, 8525, 431, 104, 357, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Bandwidth Included, when Price is '50 EUR'?
CREATE TABLE table_name_45 ( bandwidth_included VARCHAR, price VARCHAR )
SELECT bandwidth_included FROM table_name_45 WHERE price = "50 eur"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 19703, 834, 77, 21418, 26, 584, 4280, 28027, 6, 594, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 4483, 12018, 189, 15746, 26, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 19703, 834, 77, 21418, 26, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 594, 3274, 96, 1752, 3, 1238, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the average year for Team Oreca?
CREATE TABLE table_name_46 (year INTEGER, team VARCHAR)
SELECT AVG(year) FROM table_name_46 WHERE team = "team oreca"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 1201, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1348, 215, 21, 2271, 955, 15, 658, 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, 71, 17217, 599, 1201, 61, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 372, 3274, 96, 11650, 42, 15, 658, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What date is the circuit at wanneroo park?
CREATE TABLE table_name_64 (date VARCHAR, circuit VARCHAR)
SELECT date FROM table_name_64 WHERE circuit = "wanneroo park"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 5522, 584, 4280, 28027, 6, 4558, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 833, 19, 8, 4558, 44, 14371, 49, 32, 32, 2447, 58, 1, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 4558, 3274, 96, 3877, 687, 32, 32, 2447, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
For which tie was Scunthorpe United the away team?
CREATE TABLE table_name_5 ( tie_no VARCHAR, away_team VARCHAR )
SELECT tie_no FROM table_name_5 WHERE away_team = "scunthorpe united"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 6177, 834, 29, 32, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 242, 84, 6177, 47, 4712, 202, 189, 127,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6177, 834, 29, 32, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 550, 834, 11650, 3274, 96, 7, 75, 202, 189, 127, 855, 18279, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
how many countries were represented ?
CREATE TABLE table_204_466 ( id number, "rank" number, "bib" number, "country" text, "time" text, "penalties (p+s)" text, "deficit" text )
SELECT COUNT("country") FROM table_204_466
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 591, 3539, 41, 3, 23, 26, 381, 6, 96, 6254, 121, 381, 6, 96, 22456, 121, 381, 6, 96, 17529, 121, 1499, 6, 96, 715, 121, 1499, 6, 96, 3208, 138, 3010, 41, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 17529, 8512, 21680, 953, 834, 26363, 834, 591, 3539, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
For those employees who did not have any job in the past, visualize a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by time, order by the y-axis from high to low please.
CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) )
SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(MANAGER_ID) DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2476, 41, 446, 10539, 834, 4309, 3, 4331, 4059, 599, 16968, 6, 446, 10539, 834, 382, 3177, 3765, 3, 4331, 4059, 599, 2469, 201, 3, 17684, 834, 134, 4090, 24721, 7908, 1982, 599, 11071,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 454, 14132, 834, 308, 6048, 6, 71, 17217, 599, 9312, 188, 17966, 834, 4309, 61, 21680, 1652, 549, 17444, 427, 4486, 262, 5244, 5017, 476, 5080, 834, 4309, 3388, 41, 23143, 14196, 262, 5244, 5017, 476, 5080, 834, 4309,...
What is Second Member, when Election is '1835'?
CREATE TABLE table_name_99 ( second_member VARCHAR, election VARCHAR )
SELECT second_member FROM table_name_99 WHERE election = "1835"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 511, 834, 12066, 584, 4280, 28027, 6, 4356, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 5212, 8541, 6, 116, 19488, 19, 3, 31, 2606...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 511, 834, 12066, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 4356, 3274, 96, 24361, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the country that the player with a score of 70-69=139 from?
CREATE TABLE table_name_43 (country VARCHAR, score VARCHAR)
SELECT country FROM table_name_43 WHERE score = 70 - 69 = 139
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 17529, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 684, 24, 8, 1959, 28, 3, 9, 2604, 13, 2861, 18, 39...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 684, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 2604, 3274, 2861, 3, 18, 3, 3951, 3274, 3, 24090, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What female fenced with a saber on the team that had an average fencer rank of 3.5?
CREATE TABLE table_30490 ( "Team" text, "Female \u00e9p\u00e9e" text, "Male \u00e9p\u00e9e" text, "Female foil" text, "Male foil" text, "Female saber" text, "Male saber" text, "Average fencers rank" text, "Initial Team rank" real )
SELECT "Female saber" FROM table_30490 WHERE "Average fencers rank" = '3.5'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23702, 2394, 41, 96, 18699, 121, 1499, 6, 96, 371, 15, 13513, 3, 2, 76, 1206, 15, 1298, 102, 2, 76, 1206, 15, 1298, 15, 121, 1499, 6, 96, 329, 9, 109, 3, 2, 76, 1206,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 371, 15, 13513, 3, 7, 9, 1152, 121, 21680, 953, 834, 23702, 2394, 549, 17444, 427, 96, 188, 624, 545, 8227, 52, 7, 11003, 121, 3274, 3, 31, 9285, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the sum of attendacne for 16 weeks
CREATE TABLE table_71823 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Game site" text, "Record" text, "Attendance" real )
SELECT SUM("Attendance") FROM table_71823 WHERE "Week" = '16'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 2606, 2773, 41, 96, 518, 10266, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 23055, 353, 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, 180, 6122, 599, 121, 188, 17, 324, 26, 663, 8512, 21680, 953, 834, 940, 2606, 2773, 549, 17444, 427, 96, 518, 10266, 121, 3274, 3, 31, 2938, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which of the entrants had Luigi Fagioli as a driver?
CREATE TABLE table_name_79 (entrant VARCHAR, driver VARCHAR)
SELECT entrant FROM table_name_79 WHERE driver = "luigi fagioli"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 295, 3569, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 13, 8, 3, 295, 3569, 7, 141, 2318, 10100, 377, 6623, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 295, 3569, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 2535, 3274, 96, 2878, 122, 23, 3, 89, 6623, 4172, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
For each type, how many ships are there. Plot them as bar chart.
CREATE TABLE mission ( Mission_ID int, Ship_ID int, Code text, Launched_Year int, Location text, Speed_knots int, Fate text ) CREATE TABLE ship ( Ship_ID int, Name text, Type text, Nationality text, Tonnage int )
SELECT Type, COUNT(*) FROM ship GROUP BY Type
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2253, 41, 8960, 834, 4309, 16, 17, 6, 15508, 834, 4309, 16, 17, 6, 3636, 1499, 6, 17113, 15, 26, 834, 476, 2741, 16, 17, 6, 10450, 1499, 6, 9913, 834, 157, 2264, 7, 16, 17, 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, 6632, 6, 2847, 17161, 599, 1935, 61, 21680, 4383, 350, 4630, 6880, 272, 476, 6632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many patients of black/haitian ethnicity are below 63 years of age?
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/HAITIAN" AND demographic.age < "63"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 18730, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 15, 189, 2532, 485, 3274, 96, 8775, 15339, 87, 5478, 3177, 21758, 121, 3430, 14798, 5, 545, 3, 2...
What is the series episode number of the episode with production code 303?
CREATE TABLE table_16581695_4 ( no_in_series VARCHAR, production_code VARCHAR )
SELECT no_in_series FROM table_16581695_4 WHERE production_code = "303"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 3449, 2938, 3301, 834, 591, 41, 150, 834, 77, 834, 10833, 7, 584, 4280, 28027, 6, 999, 834, 4978, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 150, 834, 77, 834, 10833, 7, 21680, 953, 834, 2938, 3449, 2938, 3301, 834, 591, 549, 17444, 427, 999, 834, 4978, 3274, 96, 23335, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the name of the place that has a census ranking of 1,229 of 5,008?
CREATE TABLE table_60761 ( "Official Name" text, "Status" text, "Area km 2" real, "Population" real, "Census Ranking" text )
SELECT "Official Name" FROM table_60761 WHERE "Census Ranking" = '1,229 of 5,008'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3328, 3959, 536, 41, 96, 667, 89, 22816, 5570, 121, 1499, 6, 96, 134, 17, 144, 302, 121, 1499, 6, 96, 188, 864, 2280, 204, 121, 490, 6, 96, 27773, 7830, 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, 667, 89, 22816, 5570, 121, 21680, 953, 834, 3328, 3959, 536, 549, 17444, 427, 96, 254, 35, 7, 302, 29153, 121, 3274, 3, 31, 4347, 357, 3166, 13, 7836, 1206, 927, 31, 1, -100, -100, -100, -100, -100, -100, -100...
Which Source model has a 16-bit* Architecture?
CREATE TABLE table_name_27 (source_model VARCHAR, architecture VARCHAR)
SELECT source_model FROM table_name_27 WHERE architecture = "16-bit*"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 7928, 834, 21770, 584, 4280, 28027, 6, 4648, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 9149, 825, 65, 3, 9, 898, 18, 2360, 1935, 14706, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1391, 834, 21770, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 4648, 3274, 96, 2938, 18, 2360, 1935, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the sum of Total, when Silver is 0, and when Gold is 1?
CREATE TABLE table_76912 ( "Rank" text, "Nation" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT SUM("Total") FROM table_76912 WHERE "Silver" = '0' AND "Gold" = '1'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3959, 4729, 357, 41, 96, 22557, 121, 1499, 6, 96, 567, 257, 121, 1499, 6, 96, 23576, 121, 490, 6, 96, 134, 173, 624, 121, 490, 6, 96, 22780, 29, 776, 121, 490, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 121, 3696, 1947, 8512, 21680, 953, 834, 3959, 4729, 357, 549, 17444, 427, 96, 134, 173, 624, 121, 3274, 3, 31, 632, 31, 3430, 96, 23576, 121, 3274, 3, 31, 536, 31, 1, -100, -100, -100, -100, -100, ...
Visualize a bar chart for what are the names and the total prices of all products in the store?, order y-axis in desc order.
CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL ) CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER )
SELECT Name, SUM(Price) FROM Products GROUP BY Name ORDER BY SUM(Price) DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 15248, 7, 41, 3636, 3, 21342, 17966, 6, 5570, 584, 4280, 28027, 599, 25502, 201, 3642, 19973, 584, 4280, 28027, 599, 25502, 201, 3, 19145, 584, 4280, 28027, 599, 25502, 201, 19764, 17833...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 5570, 6, 180, 6122, 599, 345, 4920, 61, 21680, 7554, 350, 4630, 6880, 272, 476, 5570, 4674, 11300, 272, 476, 180, 6122, 599, 345, 4920, 61, 309, 25067, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the original air date the was written by mark st. germain and direct by jay sandrich?
CREATE TABLE table_3996 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" real )
SELECT "Original air date" FROM table_3996 WHERE "Written by" = 'Mark St. Germain' AND "Directed by" = 'Jay Sandrich'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3288, 4314, 41, 96, 4168, 5, 16, 939, 121, 490, 6, 96, 4168, 5, 16, 774, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 24965,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 667, 3380, 10270, 799, 833, 121, 21680, 953, 834, 3288, 4314, 549, 17444, 427, 96, 24965, 324, 57, 121, 3274, 3, 31, 19762, 472, 5, 3, 31978, 31, 3430, 96, 23620, 15, 26, 57, 121, 3274, 3, 31, 683, 9, 63, ...
Name the total number of seats for general surgery
CREATE TABLE table_19304764_2 (permitted_seats VARCHAR, discipline VARCHAR)
SELECT COUNT(permitted_seats) FROM table_19304764_2 WHERE discipline = "General Surgery"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 1458, 4177, 4389, 834, 357, 41, 883, 16030, 834, 7, 1544, 7, 584, 4280, 28027, 6, 7998, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 792, 381, 13, 61...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 883, 16030, 834, 7, 1544, 7, 61, 21680, 953, 834, 2294, 1458, 4177, 4389, 834, 357, 549, 17444, 427, 7998, 3274, 96, 20857, 19384, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the result of the match against Pat Lawlor?
CREATE TABLE table_name_46 (result VARCHAR, opponent VARCHAR)
SELECT result FROM table_name_46 WHERE opponent = "pat lawlor"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 741, 13, 8, 1588, 581, 5192, 2402, 322, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 15264, 3274, 96, 4665, 973, 322, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many losses did 12 de Octubre have ?
CREATE TABLE table_14997324_5 ( losses INTEGER, team VARCHAR )
SELECT MIN(losses) FROM table_14997324_5 WHERE team = "12 de Octubre"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2534, 3264, 4552, 2266, 834, 755, 41, 8467, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 8467, 410, 586, 20, 6416, 76, 1999, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 2298, 2260, 61, 21680, 953, 834, 2534, 3264, 4552, 2266, 834, 755, 549, 17444, 427, 372, 3274, 96, 2122, 20, 6416, 76, 1999, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many people wrote the episode with 3.40 million U.S viewers?
CREATE TABLE table_26748252_1 ( written_by VARCHAR, us_viewers__in_millions_ VARCHAR )
SELECT COUNT(written_by) FROM table_26748252_1 WHERE us_viewers__in_millions_ = "3.40"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 4581, 4613, 5373, 834, 536, 41, 1545, 834, 969, 584, 4280, 28027, 6, 178, 834, 4576, 277, 834, 834, 77, 834, 17030, 7, 834, 584, 4280, 28027, 3, 61, 3, 32102, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 14973, 834, 969, 61, 21680, 953, 834, 2688, 4581, 4613, 5373, 834, 536, 549, 17444, 427, 178, 834, 4576, 277, 834, 834, 77, 834, 17030, 7, 834, 3274, 96, 5787, 2445, 121, 1, -100, -100, -100, -100,...
specify the death status of patient id 2560
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT demographic.expire_flag FROM demographic WHERE demographic.subject_id = "2560"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 14798, 5, 994, 2388, 15, 834, 89, 5430, 21680, 14798, 549, 17444, 427, 14798, 5, 7304, 11827, 834, 23, 26, 3274, 96, 1828, 3328, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the race winners for the date of 23 june?
CREATE TABLE table_49578 ( "Date" text, "Place" text, "Race winners" text, "GP winner" text, "Source" text )
SELECT "Race winners" FROM table_49578 WHERE "Date" = '23 june'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 3301, 3940, 41, 96, 308, 342, 121, 1499, 6, 96, 345, 11706, 121, 1499, 6, 96, 448, 3302, 8969, 121, 1499, 6, 96, 8049, 4668, 121, 1499, 6, 96, 23799, 121, 1499, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 448, 3302, 8969, 121, 21680, 953, 834, 591, 3301, 3940, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 2773, 3, 6959, 15, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the number of attendance values for ties having an opponent of Middlesbrough and result of 3-1?
CREATE TABLE table_name_2 ( attendance VARCHAR, opponent VARCHAR, result VARCHAR )
SELECT COUNT(attendance) FROM table_name_2 WHERE opponent = "middlesbrough" AND result = "3-1"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 11364, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 381, 13, 11364, 2620, 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, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 15264, 3274, 96, 6983, 26, 965, 115, 13245, 121, 3430, 741, 3274, 96, 519, 2292, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
Which opponent had an attendance of 40,070?
CREATE TABLE table_name_48 ( opponent VARCHAR, attendance VARCHAR )
SELECT opponent FROM table_name_48 WHERE attendance = "40,070"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 15264, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 15264, 141, 46, 11364, 13, 1283, 6, 632, 2518, 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, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 11364, 3274, 96, 2445, 6, 632, 2518, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many seasons in tier 4 ?
CREATE TABLE table_203_183 ( id number, "season" text, "tier" number, "division" number, "place" text )
SELECT COUNT("season") FROM table_203_183 WHERE "tier" = 4
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 24361, 41, 3, 23, 26, 381, 6, 96, 9476, 121, 1499, 6, 96, 3276, 121, 381, 6, 96, 26, 23, 6610, 121, 381, 6, 96, 4687, 121, 1499, 3, 61, 3, 32102, 32103, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 9476, 8512, 21680, 953, 834, 23330, 834, 24361, 549, 17444, 427, 96, 3276, 121, 3274, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Tie No, when Score is "Marlow United won 4–2 on penalties"?
CREATE TABLE table_name_89 (tie_no VARCHAR, score VARCHAR)
SELECT tie_no FROM table_name_89 WHERE score = "marlow united won 4–2 on penalties"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 17, 23, 15, 834, 29, 32, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 2262, 15, 465, 6, 116, 17763, 19, 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, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6177, 834, 29, 32, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 2604, 3274, 96, 1635, 3216, 18279, 751, 314, 104, 357, 30, 17524, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the successor that was formally installed on March 30, 1870?
CREATE TABLE table_2417345_3 ( successor VARCHAR, date_of_successors_formal_installation VARCHAR )
SELECT successor FROM table_2417345_3 WHERE date_of_successors_formal_installation = "March 30, 1870"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 2517, 519, 2128, 834, 519, 41, 22261, 584, 4280, 28027, 6, 833, 834, 858, 834, 7, 17431, 24901, 7, 834, 2032, 138, 834, 14790, 584, 4280, 28027, 3, 61, 3, 32102, 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, 0, 0, 0...
[ 3, 23143, 14196, 22261, 21680, 953, 834, 2266, 2517, 519, 2128, 834, 519, 549, 17444, 427, 833, 834, 858, 834, 7, 17431, 24901, 7, 834, 2032, 138, 834, 14790, 3274, 96, 25019, 11558, 507, 2518, 121, 1, -100, -100, -100, -100, -100, ...
Who was the opponent on December 1, before Game 28?
CREATE TABLE table_name_2 ( opponent VARCHAR, game VARCHAR, december VARCHAR )
SELECT opponent FROM table_name_2 WHERE game < 28 AND december = 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 15264, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 6, 20, 75, 18247, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 15264, 30, 188...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 467, 3, 2, 2059, 3430, 20, 75, 18247, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When +18.1 is the ± yes side 2008 percentage what is the percentage of against?
CREATE TABLE table_20683381_3 (against___percentage_ VARCHAR, ±_yes_side_2008___percentage_ VARCHAR)
SELECT against___percentage_ FROM table_20683381_3 WHERE ±_yes_side_2008___percentage_ = "+18.1"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1755, 3651, 4201, 4959, 834, 519, 41, 9, 16720, 7, 17, 834, 834, 834, 883, 3728, 545, 834, 584, 4280, 28027, 6, 3, 2, 834, 10070, 834, 1583, 834, 16128, 834, 834, 834, 88...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 581, 834, 834, 834, 883, 3728, 545, 834, 21680, 953, 834, 1755, 3651, 4201, 4959, 834, 519, 549, 17444, 427, 3, 2, 834, 10070, 834, 1583, 834, 16128, 834, 834, 834, 883, 3728, 545, 834, 3274, 96, 18446, 20677, 121, ...
what is the next model number listed after 8525 l01 ?
CREATE TABLE table_203_136 ( id number, "year" number, "ibm model number" text, "name" text, "processor" text, "bus" text, "hd interface" text, "case" text, "notes" text )
SELECT "ibm model number" FROM table_203_136 WHERE id = (SELECT id FROM table_203_136 WHERE "ibm model number" = '8525-l01') + 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 23459, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 23, 115, 51, 825, 381, 121, 1499, 6, 96, 4350, 121, 1499, 6, 96, 15056, 127, 121, 1499, 6, 96, 34...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 23, 115, 51, 825, 381, 121, 21680, 953, 834, 23330, 834, 23459, 549, 17444, 427, 3, 23, 26, 3274, 41, 23143, 14196, 3, 23, 26, 21680, 953, 834, 23330, 834, 23459, 549, 17444, 427, 96, 23, 115, 51, 825, 381, ...
Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103.
CREATE TABLE status ( station_id number, bikes_available number, docks_available number, time text ) CREATE TABLE station ( id number, name text, lat number, long number, dock_count number, city text, installation_date text ) CREATE TABLE weather ( date text, max_temperature_f number, mean_temperature_f number, min_temperature_f number, max_dew_point_f number, mean_dew_point_f number, min_dew_point_f number, max_humidity number, mean_humidity number, min_humidity number, max_sea_level_pressure_inches number, mean_sea_level_pressure_inches number, min_sea_level_pressure_inches number, max_visibility_miles number, mean_visibility_miles number, min_visibility_miles number, max_wind_speed_mph number, mean_wind_speed_mph number, max_gust_speed_mph number, precipitation_inches number, cloud_cover number, events text, wind_dir_degrees number, zip_code number ) CREATE TABLE trip ( id number, duration number, start_date text, start_station_name text, start_station_id number, end_date text, end_station_name text, end_station_id number, bike_id number, subscription_type text, zip_code number )
SELECT id FROM trip WHERE duration >= (SELECT AVG(duration) FROM trip WHERE zip_code = 94103)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2637, 41, 2478, 834, 23, 26, 381, 6, 13490, 834, 28843, 381, 6, 12908, 7, 834, 28843, 381, 6, 97, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 2478, 41, 3, 23,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 23, 26, 21680, 1469, 549, 17444, 427, 8659, 2490, 2423, 41, 23143, 14196, 71, 17217, 599, 1259, 2661, 61, 21680, 1469, 549, 17444, 427, 10658, 834, 4978, 3274, 3, 4240, 17864, 61, 1, -100, -100, -100, -100, -100, ...
How much Total has a Nation of kazakhstan (kaz), and a Gold larger than 0?
CREATE TABLE table_35629 ( "Rank" text, "Nation" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT COUNT("Total") FROM table_35629 WHERE "Nation" = 'kazakhstan (kaz)' AND "Gold" > '0'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2469, 948, 3166, 41, 96, 22557, 121, 1499, 6, 96, 567, 257, 121, 1499, 6, 96, 23576, 121, 490, 6, 96, 134, 173, 624, 121, 490, 6, 96, 22780, 29, 776, 121, 490, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3696, 1947, 8512, 21680, 953, 834, 2469, 948, 3166, 549, 17444, 427, 96, 567, 257, 121, 3274, 3, 31, 1258, 172, 18965, 5627, 41, 1258, 172, 61, 31, 3430, 96, 23576, 121, 2490, 3, 31, 632, 31...
What is the Clubs when there are 4 for the number of fixtures?
CREATE TABLE table_name_3 ( clubs VARCHAR, number_of_fixtures VARCHAR )
SELECT clubs FROM table_name_3 WHERE number_of_fixtures = 4
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 8122, 584, 4280, 28027, 6, 381, 834, 858, 834, 12304, 10471, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1949, 7, 116, 132, 33, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8122, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 381, 834, 858, 834, 12304, 10471, 3274, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which audio has a Title of a storm of swords?
CREATE TABLE table_name_21 (audio VARCHAR, title VARCHAR)
SELECT audio FROM table_name_21 WHERE title = "a storm of swords"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 28696, 584, 4280, 28027, 6, 2233, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 2931, 65, 3, 9, 11029, 13, 3, 9, 5536, 13, 16600, 7, 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, 2931, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 2233, 3274, 96, 9, 5536, 13, 16600, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
what is the total number of goals for when the ties is more than 0, the goals against is more than 35 and the wins is less than 2?
CREATE TABLE table_77520 ( "Team" text, "Games Played" real, "Wins" real, "Losses" real, "Ties" real, "Goals For" real, "Goals Against" real )
SELECT COUNT("Goals For") FROM table_77520 WHERE "Ties" > '0' AND "Goals Against" > '35' AND "Wins" < '2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4013, 25356, 41, 96, 18699, 121, 1499, 6, 96, 23055, 7, 2911, 15, 26, 121, 490, 6, 96, 18455, 7, 121, 490, 6, 96, 434, 13526, 7, 121, 490, 6, 96, 382, 725, 121, 490, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6221, 5405, 242, 8512, 21680, 953, 834, 4013, 25356, 549, 17444, 427, 96, 382, 725, 121, 2490, 3, 31, 632, 31, 3430, 96, 6221, 5405, 3, 20749, 121, 2490, 3, 31, 2469, 31, 3430, 96, 18455, 7,...
what number of patients with death status 1 had drug code ns100cg?
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.expire_flag = "1" AND prescriptions.formulary_drug_cd = "NS100CG"
[ 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, 7744, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7744, 7, 5, 8399, 51, 834, 23, 26, 549...
What are the most bronze medals in a rank more than 1 with a total larger than 3?
CREATE TABLE table_name_48 (bronze INTEGER, total VARCHAR, rank VARCHAR)
SELECT MAX(bronze) FROM table_name_48 WHERE total > 3 AND rank > 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 13711, 776, 3, 21342, 17966, 6, 792, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 8, 167, 13467, 9365, 7, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 13711, 776, 61, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 792, 2490, 220, 3430, 11003, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
When population is greater than 832,901 and murder and non-negligent manslaughter is 11.6, what is the smallest burglary?
CREATE TABLE table_61066 ( "State" text, "City" text, "Population" real, "Violent Crime" text, "Murder and Non-Negligent Manslaughter" real, "Forcible Rape" text, "Robbery" real, "Aggravated Assault" real, "Property Crime" text, "Burglary" real, "Larceny-Theft" text, "Motor Vehicle Theft" real )
SELECT MIN("Burglary") FROM table_61066 WHERE "Population" > '832,901' AND "Murder and Non-Negligent Manslaughter" = '11.6'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27097, 3539, 41, 96, 134, 4748, 121, 1499, 6, 96, 254, 485, 121, 1499, 6, 96, 27773, 7830, 121, 490, 6, 96, 553, 23, 32, 6987, 16923, 121, 1499, 6, 96, 329, 450, 588, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 279, 450, 7002, 651, 8512, 21680, 953, 834, 27097, 3539, 549, 17444, 427, 96, 27773, 7830, 121, 2490, 3, 31, 4591, 4482, 2394, 536, 31, 3430, 96, 329, 450, 588, 11, 5388, 18, 567, 15, 4707, 556...
What is the home team of the game on May 22 with the Edmonton Oilers as the visiting team?
CREATE TABLE table_14390 ( "Date" text, "Visitor" text, "Score" text, "Home" text, "Record" text )
SELECT "Home" FROM table_14390 WHERE "Visitor" = 'edmonton oilers' AND "Date" = 'may 22'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25133, 2394, 41, 96, 308, 342, 121, 1499, 6, 96, 553, 159, 155, 127, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 19040, 121, 1499, 6, 96, 1649, 7621, 121, 1499, 3, 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, 19040, 121, 21680, 953, 834, 25133, 2394, 549, 17444, 427, 96, 553, 159, 155, 127, 121, 3274, 3, 31, 15, 26, 4662, 106, 1043, 277, 31, 3430, 96, 308, 342, 121, 3274, 3, 31, 13726, 1630, 31, 1, -100, -100, -1...
WHAT IS THE LOWEST MONEY WITH 74-74-76-74=298 SCORE?
CREATE TABLE table_60626 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" real, "Money ( $ )" real )
SELECT MIN("Money ( $ )") FROM table_60626 WHERE "Score" = '74-74-76-74=298'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3328, 948, 2688, 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, 490, 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, 3, 17684, 599, 121, 9168, 15, 63, 41, 1514, 3, 61, 8512, 21680, 953, 834, 3328, 948, 2688, 549, 17444, 427, 96, 134, 9022, 121, 3274, 3, 31, 4581, 18, 4581, 18, 3959, 18, 4581, 2423, 357, 3916, 31, 1, -100, -100...
What was the tries against when they had 32 tries for?
CREATE TABLE table_name_14 (tries_against VARCHAR, tries_for VARCHAR)
SELECT tries_against FROM table_name_14 WHERE tries_for = "32"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 9000, 834, 9, 16720, 7, 17, 584, 4280, 28027, 6, 3, 9000, 834, 1161, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 3, 9000, 581, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 9000, 834, 9, 16720, 7, 17, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 3, 9000, 834, 1161, 3274, 96, 2668, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of hire_date and the average of department_id bin hire_date by weekday, and order in asc by the the average of department id.
CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) )
SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(DEPARTMENT_ID)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2476, 41, 446, 10539, 834, 4309, 3, 4331, 4059, 599, 16968, 6, 446, 10539, 834, 382, 3177, 3765, 3, 4331, 4059, 599, 2469, 201, 3, 17684, 834, 134, 4090, 24721, 7908, 1982, 599, 11071,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 454, 14132, 834, 308, 6048, 6, 71, 17217, 599, 5596, 19846, 11810, 834, 4309, 61, 21680, 1652, 549, 17444, 427, 4486, 3396, 19846, 11810, 834, 4309, 3388, 41, 23143, 14196, 3396, 19846, 11810, 834, 4309, 21680, 10521, 5...
Which current venues location is Mason, Ohio?
CREATE TABLE table_14903081_1 (current_venue VARCHAR, location VARCHAR)
SELECT current_venue FROM table_14903081_1 WHERE location = "Mason, Ohio"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2534, 2394, 1458, 4959, 834, 536, 41, 14907, 834, 15098, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 750, 11778, 1128, 19, 15924, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 750, 834, 15098, 21680, 953, 834, 2534, 2394, 1458, 4959, 834, 536, 549, 17444, 427, 1128, 3274, 96, 329, 9, 739, 6, 6167, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is John Davis's home town?
CREATE TABLE table_name_95 ( hometown VARCHAR, name VARCHAR )
SELECT hometown FROM table_name_95 WHERE name = "john davis"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 22295, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 1079, 8688, 31, 7, 234, 1511, 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, 22295, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 564, 3274, 96, 27341, 836, 3466, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
tell me the price of merrem.
CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time )
SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'medication' AND cost.eventid IN (SELECT medication.medicationid FROM medication WHERE medication.drugname = 'merrem')
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 11963, 670, 2562, 41, 11963, 670, 2562, 23, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 2358, 8292, 1499, 6, 2358, 40, 10333, 1499, 6, 2358, 7480, 35, 76, 17552, 381, 6, 11963, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 15438, 25424, 6227, 583, 5, 11290, 21680, 583, 549, 17444, 427, 583, 5, 15, 2169, 6137, 3274, 3, 31, 526, 17530, 31, 3430, 583, 5, 15, 2169, 23, 26, 3388, 41, 23143, 14196, 7757, 5, 526, 17530, 23, 26, 21680, ...
What numbered game did they play on april 5?
CREATE TABLE table_27755603_11 (game INTEGER, date VARCHAR)
SELECT MAX(game) FROM table_27755603_11 WHERE date = "April 5"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 3072, 4834, 4928, 834, 2596, 41, 7261, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 3, 22412, 467, 410, 79, 577, 30, 3, 9, 2246,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 7261, 61, 21680, 953, 834, 2555, 3072, 4834, 4928, 834, 2596, 549, 17444, 427, 833, 3274, 96, 23323, 3, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the Set 3 when the total was 53 75?
CREATE TABLE table_name_26 ( set_3 VARCHAR, total VARCHAR )
SELECT set_3 FROM table_name_26 WHERE total = "53–75"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 356, 834, 519, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2821, 220, 116, 8, 792, 47, 12210, 6374, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 356, 834, 519, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 792, 3274, 96, 4867, 104, 3072, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the type for headquarters principal activites.
CREATE TABLE table_name_53 ( type VARCHAR, principal_activities VARCHAR )
SELECT type FROM table_name_53 WHERE principal_activities = "headquarters"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 686, 584, 4280, 28027, 6, 3218, 834, 8463, 2197, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 686, 21, 13767, 3218, 5817, 7006, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 686, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 3218, 834, 8463, 2197, 3274, 96, 3313, 19973, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what's the width with frame size being 4.5k
CREATE TABLE table_1251878_1 ( width VARCHAR, frame_size VARCHAR )
SELECT width FROM table_1251878_1 WHERE frame_size = "4.5K"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 10124, 2606, 3940, 834, 536, 41, 9400, 584, 4280, 28027, 6, 2835, 834, 7991, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 31, 7, 8, 9400, 28, 2835, 812, 271...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9400, 21680, 953, 834, 10124, 2606, 3940, 834, 536, 549, 17444, 427, 2835, 834, 7991, 3274, 96, 12451, 439, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Pole Position of the Swedish Grand Prix?
CREATE TABLE table_name_95 ( pole_position VARCHAR, race VARCHAR )
SELECT pole_position FROM table_name_95 WHERE race = "swedish grand prix"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 11148, 834, 4718, 584, 4280, 28027, 6, 1964, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 19418, 14258, 13, 8, 16531, 2698, 12942,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 11148, 834, 4718, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 1964, 3274, 96, 7, 1123, 26, 1273, 1907, 3407, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What number is Andrea Bargnani?
CREATE TABLE table_12962773_15 ( no INTEGER, player VARCHAR )
SELECT MAX(no) FROM table_12962773_15 WHERE player = "Andrea Bargnani"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2122, 4314, 2555, 4552, 834, 1808, 41, 150, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 381, 19, 11813, 1386, 11260, 29, 23, 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, 4800, 4, 599, 29, 32, 61, 21680, 953, 834, 2122, 4314, 2555, 4552, 834, 1808, 549, 17444, 427, 1959, 3274, 96, 7175, 864, 1386, 11260, 29, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the poison/klesha word for moha avijja in pali?
CREATE TABLE table_name_29 ( poison_klesha VARCHAR, pali VARCHAR )
SELECT poison_klesha FROM table_name_29 WHERE pali = "moha avijja"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 14566, 834, 9434, 7, 1024, 584, 4280, 28027, 6, 7692, 23, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 14566, 87, 9434, 7, 1024,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14566, 834, 9434, 7, 1024, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 7692, 23, 3274, 96, 51, 32, 1024, 3, 2960, 354, 1191, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who did Winfield Scott have an allegiance with?
CREATE TABLE table_name_28 ( allegiance VARCHAR, name VARCHAR )
SELECT allegiance FROM table_name_28 WHERE name = "winfield scott"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 66, 11097, 663, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 410, 4871, 1846, 4972, 43, 46, 66, 11097, 663, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 66, 11097, 663, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 564, 3274, 96, 3757, 1846, 3, 7, 10405, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Opponent of the game in Week 3?
CREATE TABLE table_name_21 (opponent VARCHAR, week VARCHAR)
SELECT opponent FROM table_name_21 WHERE week = 3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 32, 102, 9977, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 4495, 9977, 13, 8, 467, 16, 6551, 220, 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, 15264, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 471, 3274, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the rank associated with a Height feet / m of 427 / 130?
CREATE TABLE table_14717 ( "Rank" text, "Address" text, "Height feet / m" text, "Floors" real, "Year" text )
SELECT "Rank" FROM table_14717 WHERE "Height feet / m" = '427 / 130'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24719, 2517, 41, 96, 22557, 121, 1499, 6, 96, 20773, 9377, 121, 1499, 6, 96, 3845, 2632, 1922, 3, 87, 3, 51, 121, 1499, 6, 96, 11251, 127, 7, 121, 490, 6, 96, 476, 2741...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 22557, 121, 21680, 953, 834, 24719, 2517, 549, 17444, 427, 96, 3845, 2632, 1922, 3, 87, 3, 51, 121, 3274, 3, 31, 591, 2555, 3, 87, 12778, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
what is the district where the candidates are charles edward bennett (d) unopposed?
CREATE TABLE table_1341663_10 (district VARCHAR, candidates VARCHAR)
SELECT district FROM table_1341663_10 WHERE candidates = "Charles Edward Bennett (D) Unopposed"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23747, 2938, 3891, 834, 1714, 41, 26, 23, 20066, 584, 4280, 28027, 6, 4341, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 3939, 213, 8, 4341, 33, 3, 4059...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3939, 21680, 953, 834, 23747, 2938, 3891, 834, 1714, 549, 17444, 427, 4341, 3274, 96, 18947, 965, 8200, 23464, 41, 308, 61, 597, 28236, 3843, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the LMS class of trains with numbers 14510-5?
CREATE TABLE table_15412381_5 ( LMS VARCHAR, lms_nos VARCHAR )
SELECT LMS AS class FROM table_15412381_5 WHERE lms_nos = "14510-5"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27308, 14574, 4959, 834, 755, 41, 301, 4211, 584, 4280, 28027, 6, 3, 40, 51, 7, 834, 4844, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 301, 4211, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 301, 4211, 6157, 853, 21680, 953, 834, 27308, 14574, 4959, 834, 755, 549, 17444, 427, 3, 40, 51, 7, 834, 4844, 3274, 96, 20987, 1714, 18, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the flange thickness when the weight is 19.9?
CREATE TABLE table_2289 ( "Type" text, "Beam height (mm)" real, "Flange width (mm)" real, "Web thickness (mm)" text, "Flange thickness (mm)" text, "Weight (kg/m)" text, "Cross-section area (cm 2 )" text, "Moment of inertia in torsion (J) (cm 4 )" text )
SELECT "Flange thickness (mm)" FROM table_2289 WHERE "Weight (kg/m)" = '19.9'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2884, 3914, 41, 96, 25160, 121, 1499, 6, 96, 2703, 265, 3902, 41, 635, 61, 121, 490, 6, 96, 371, 11327, 9400, 41, 635, 61, 121, 490, 6, 96, 15805, 14803, 41, 635, 61, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 371, 11327, 14803, 41, 635, 61, 121, 21680, 953, 834, 2884, 3914, 549, 17444, 427, 96, 1326, 2632, 41, 8711, 87, 51, 61, 121, 3274, 3, 31, 2294, 5, 1298, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the local investment (in $) in the projects of the department with $912,185 BID/PRONAR investment?
CREATE TABLE table_17118006_2 (local_investment__us$_ VARCHAR, bid_pronar_investment__us$_ VARCHAR)
SELECT local_investment__us$_ FROM table_17118006_2 WHERE bid_pronar_investment__us$_ = "912,185"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2596, 6192, 948, 834, 357, 41, 16882, 834, 15601, 297, 834, 834, 302, 3229, 834, 584, 4280, 28027, 6, 6894, 834, 1409, 29, 291, 834, 15601, 297, 834, 834, 302, 3229, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 415, 834, 15601, 297, 834, 834, 302, 3229, 834, 21680, 953, 834, 2517, 2596, 6192, 948, 834, 357, 549, 17444, 427, 6894, 834, 1409, 29, 291, 834, 15601, 297, 834, 834, 302, 3229, 834, 3274, 96, 4729, 4482, 21594, 12...
What was the grid associated with under 26 laps and a Time/Retired of +6.077?
CREATE TABLE table_name_5 ( grid INTEGER, time_retired VARCHAR, laps VARCHAR )
SELECT AVG(grid) FROM table_name_5 WHERE time_retired = "+6.077" AND laps < 26
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 8634, 3, 21342, 17966, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 8634,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 3496, 26, 61, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 97, 834, 10682, 1271, 3274, 96, 1220, 22642, 4013, 121, 3430, 14941, 7, 3, 2, 2208, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the gross revenue in 2011 with a gross revenue in 1982 of $1,988,047?
CREATE TABLE table_name_28 (gross_revenue__2011_ VARCHAR, gross_revenue__1982_ VARCHAR)
SELECT gross_revenue__2011_ FROM table_name_28 WHERE gross_revenue__1982_ = "$1,988,047"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 3844, 7, 7, 834, 60, 15098, 834, 834, 13907, 834, 584, 4280, 28027, 6, 8690, 834, 60, 15098, 834, 834, 2294, 4613, 834, 584, 4280, 28027, 61, 3, 32102,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 8690, 834, 60, 15098, 834, 834, 13907, 834, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 8690, 834, 60, 15098, 834, 834, 2294, 4613, 834, 3274, 96, 3229, 4347, 3916, 11864, 632, 4177, 121, 1, -100, -100, -100, ...
What is the total number of laps with a Driver of eddie irvine?
CREATE TABLE table_name_93 (laps INTEGER, driver VARCHAR)
SELECT SUM(laps) FROM table_name_93 WHERE driver = "eddie irvine"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 8478, 7, 3, 21342, 17966, 6, 2535, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 792, 381, 13, 14941, 7, 28, 3, 9, 10546, 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, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 8478, 7, 61, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 2535, 3274, 96, 15, 26, 2498, 3, 23, 52, 8402, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which episode was watched by 11.75 million U.S. viewers?
CREATE TABLE table_18041 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" real, "U.S. viewers (millions)" text )
SELECT "Title" FROM table_18041 WHERE "U.S. viewers (millions)" = '11.75'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20829, 4853, 41, 96, 4168, 5, 16, 939, 121, 490, 6, 96, 4168, 5, 16, 774, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 24965...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 382, 155, 109, 121, 21680, 953, 834, 20829, 4853, 549, 17444, 427, 96, 1265, 5, 134, 5, 13569, 41, 17030, 7, 61, 121, 3274, 3, 31, 10032, 3072, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the most wins total with wins indoor of 0 and wins outdoor of 1 with rank less than 7
CREATE TABLE table_name_68 (wins__total_ INTEGER, rank VARCHAR, wins__indoor_ VARCHAR, wins__outdoor_ VARCHAR)
SELECT MAX(wins__total_) FROM table_name_68 WHERE wins__indoor_ = 0 AND wins__outdoor_ = 1 AND rank < 7
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 3757, 7, 834, 834, 235, 1947, 834, 3, 21342, 17966, 6, 11003, 584, 4280, 28027, 6, 9204, 834, 834, 77, 11968, 834, 584, 4280, 28027, 6, 9204, 834, 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, 4800, 4, 599, 3757, 7, 834, 834, 235, 1947, 834, 61, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 9204, 834, 834, 77, 11968, 834, 3274, 3, 632, 3430, 9204, 834, 834, 670, 11968, 834, 3274, 209, 3430, 11003, ...
Find the average number of staff working for the museums that were open before 2009.
CREATE TABLE museum (num_of_staff INTEGER, open_year INTEGER)
SELECT AVG(num_of_staff) FROM museum WHERE open_year < 2009
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7071, 41, 5525, 834, 858, 834, 26416, 3, 21342, 17966, 6, 539, 834, 1201, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 2588, 8, 1348, 381, 13, 871, 464, 21, 8, 17385, 24, 130,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 5525, 834, 858, 834, 26416, 61, 21680, 7071, 549, 17444, 427, 539, 834, 1201, 3, 2, 2464, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the top rank that's lane is smaller than 1?
CREATE TABLE table_name_77 (rank INTEGER, lane INTEGER)
SELECT MAX(rank) FROM table_name_77 WHERE lane < 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 6254, 3, 21342, 17966, 6, 3, 8102, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, 420, 11003, 24, 31, 7, 3, 8102, 19, 2755, 145, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 6254, 61, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 3, 8102, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
who is the person that plays left wing and is from canada that plays on the st. louis blues
CREATE TABLE table_30509 ( "Pick" real, "Player" text, "Position" text, "Nationality" text, "NHL team" text, "College/junior/club team" text )
SELECT "Player" FROM table_30509 WHERE "Position" = 'Left Wing' AND "Nationality" = 'Canada' AND "NHL team" = 'St. Louis Blues'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26724, 4198, 41, 96, 345, 3142, 121, 490, 6, 96, 15800, 49, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 24732, 485, 121, 1499, 6, 96, 15743, 434, 372, 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, 15800, 49, 121, 21680, 953, 834, 26724, 4198, 549, 17444, 427, 96, 345, 32, 7, 4749, 121, 3274, 3, 31, 2796, 89, 17, 15753, 31, 3430, 96, 24732, 485, 121, 3274, 3, 31, 28811, 31, 3430, 96, 15743, 434, 372, 1...
Which Object type has an NGC number of 2171?
CREATE TABLE table_name_37 ( object_type VARCHAR, ngc_number VARCHAR )
SELECT object_type FROM table_name_37 WHERE ngc_number = 2171
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 3735, 834, 6137, 584, 4280, 28027, 6, 3, 1725, 75, 834, 5525, 1152, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 3, 17057, 686, 65, 46...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3735, 834, 6137, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 3, 1725, 75, 834, 5525, 1152, 3274, 1401, 4450, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
List first name and last name of customers lived in city Lockmanfurt.
CREATE TABLE Customers (first_name VARCHAR, last_name VARCHAR, customer_address_id VARCHAR); CREATE TABLE Addresses (address_id VARCHAR, city VARCHAR)
SELECT T1.first_name, T1.last_name FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id WHERE T2.city = "Lockmanfurt"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 16423, 41, 14672, 834, 4350, 584, 4280, 28027, 6, 336, 834, 4350, 584, 4280, 28027, 6, 884, 834, 9, 26, 12039, 834, 23, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32102, 205, 4386, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 5411, 14672, 834, 4350, 6, 332, 5411, 5064, 834, 4350, 21680, 16423, 6157, 332, 536, 3, 15355, 3162, 13246, 15, 7, 6157, 332, 357, 9191, 332, 5411, 25697, 49, 834, 9, 26, 12039, 834, 23, 26, 3274, 332, 4416, ...
What is the born-died that has office of 13 September 1229 as the entered?
CREATE TABLE table_name_8 ( born_died VARCHAR, entered_office VARCHAR )
SELECT born_died FROM table_name_8 WHERE entered_office = "13 september 1229"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 2170, 834, 2498, 26, 584, 4280, 28027, 6, 5136, 834, 19632, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2170, 18, 2498, 26, 24, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2170, 834, 2498, 26, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 5136, 834, 19632, 3274, 96, 2368, 16022, 18247, 586, 3166, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the Political group for p. maelius capitolinus?
CREATE TABLE table_name_58 (political_group VARCHAR, name VARCHAR)
SELECT political_group FROM table_name_58 WHERE name = "p. maelius capitolinus"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 3003, 17, 1950, 834, 10739, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 19289, 563, 21, 3, 102, 5, 954, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1827, 834, 10739, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 564, 3274, 96, 102, 5, 954, 15, 29705, 23491, 77, 302, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the sum of crowd(s) when north melbourne is away?
CREATE TABLE table_name_92 (crowd INTEGER, away_team VARCHAR)
SELECT SUM(crowd) FROM table_name_92 WHERE away_team = "north melbourne"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 75, 3623, 26, 3, 21342, 17966, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 4505, 13, 4374, 599, 7, 61, 116, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 550, 834, 11650, 3274, 96, 29, 127, 189, 3, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
WHAT IS THE TOTAL THAT HAS A WIN IN 1982?
CREATE TABLE table_name_14 (total INTEGER, year_s__won VARCHAR)
SELECT AVG(total) FROM table_name_14 WHERE year_s__won = "1982"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 235, 1947, 3, 21342, 17966, 6, 215, 834, 7, 834, 834, 210, 106, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 21665, 6827, 1853, 3001, 16359, 1666...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 235, 1947, 61, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 215, 834, 7, 834, 834, 210, 106, 3274, 96, 2294, 4613, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is average age of male for different job title Visualize by bar chart, rank from low to high by the x-axis.
CREATE TABLE Person ( name varchar(20), age INTEGER, city TEXT, gender TEXT, job TEXT ) CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER )
SELECT job, AVG(age) FROM Person WHERE gender = 'male' GROUP BY job ORDER BY job
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 5780, 41, 564, 3, 4331, 4059, 599, 1755, 201, 1246, 3, 21342, 17966, 6, 690, 3, 3463, 4, 382, 6, 7285, 3, 3463, 4, 382, 6, 613, 3, 3463, 4, 382, 3, 61, 3, 32102, 32103, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 613, 6, 71, 17217, 599, 545, 61, 21680, 5780, 549, 17444, 427, 7285, 3274, 3, 31, 13513, 31, 350, 4630, 6880, 272, 476, 613, 4674, 11300, 272, 476, 613, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the home team that scored 10.12 (72)?
CREATE TABLE table_33313 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT "Home team" FROM table_33313 WHERE "Home team score" = '10.12 (72)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23360, 2368, 41, 96, 19040, 372, 121, 1499, 6, 96, 19040, 372, 2604, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 188, 1343, 372, 2604, 121, 1499, 6, 96, 553, 35, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 19040, 372, 121, 21680, 953, 834, 23360, 2368, 549, 17444, 427, 96, 19040, 372, 2604, 121, 3274, 3, 31, 22567, 357, 13649, 7318, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the termination type for the headphones with comfort pads and selling for $150?
CREATE TABLE table_41111 ( "Headphone Model" text, "Headphone Class" text, "Driver-matched dB" real, "Construction" text, "Earpads" text, "Termination" text, "US MSRP" text )
SELECT "Termination" FROM table_41111 WHERE "Earpads" = 'comfort pads' AND "US MSRP" = '$150'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4853, 15866, 41, 96, 3845, 9, 26, 6399, 5154, 121, 1499, 6, 96, 3845, 9, 26, 6399, 4501, 121, 1499, 6, 96, 20982, 52, 18, 10304, 3, 26, 279, 121, 490, 6, 96, 4302, 7, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 11679, 77, 257, 121, 21680, 953, 834, 4853, 15866, 549, 17444, 427, 96, 427, 291, 5612, 7, 121, 3274, 3, 31, 287, 1161, 17, 17484, 31, 3430, 96, 3063, 5266, 6294, 121, 3274, 3, 31, 3229, 12278, 31, 1, -100, ...
Which title has a share of 19,9%
CREATE TABLE table_56322 ( "Episode" text, "Title" text, "Date of emission" text, "Audience" text, "Share" text )
SELECT "Title" FROM table_56322 WHERE "Share" = '19,9%'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4834, 2668, 357, 41, 96, 427, 102, 159, 32, 221, 121, 1499, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 308, 342, 13, 24578, 121, 1499, 6, 96, 188, 5291, 1433, 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, 155, 109, 121, 21680, 953, 834, 4834, 2668, 357, 549, 17444, 427, 96, 24501, 121, 3274, 3, 31, 2294, 6, 7561, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which celebrity was raised 03?
CREATE TABLE table_12286195_1 ( celebrity VARCHAR, raised VARCHAR )
SELECT celebrity FROM table_12286195_1 WHERE raised = "03"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20889, 3840, 22464, 834, 536, 41, 17086, 584, 4280, 28027, 6, 3279, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 17086, 47, 3279, 12811, 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, 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, 17086, 21680, 953, 834, 20889, 3840, 22464, 834, 536, 549, 17444, 427, 3279, 3274, 96, 4928, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
If the school is John A. Logan College, what are the colors?
CREATE TABLE table_22319599_1 ( colors VARCHAR, school VARCHAR )
SELECT colors FROM table_22319599_1 WHERE school = "John A. Logan College"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 2773, 22464, 3264, 834, 536, 41, 2602, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 156, 8, 496, 19, 1079, 71, 5, 22227, 1888, 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...
[ 3, 23143, 14196, 2602, 21680, 953, 834, 357, 2773, 22464, 3264, 834, 536, 549, 17444, 427, 496, 3274, 96, 18300, 71, 5, 22227, 1888, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the No. 3 which has a No. 7 of logan, and a No. 5 of jackson?
CREATE TABLE table_43790 ( "Region (year)" text, "No. 1" text, "No. 2" text, "No. 3" text, "No. 4" text, "No. 5" text, "No. 6" text, "No. 7" text, "No. 8" text, "No. 9" text, "No. 10" text )
SELECT "No. 3" FROM table_43790 WHERE "No. 7" = 'logan' AND "No. 5" = 'jackson'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 4118, 2394, 41, 96, 17748, 23, 106, 41, 1201, 61, 121, 1499, 6, 96, 4168, 5, 209, 121, 1499, 6, 96, 4168, 5, 204, 121, 1499, 6, 96, 4168, 5, 220, 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, 4168, 5, 220, 121, 21680, 953, 834, 591, 4118, 2394, 549, 17444, 427, 96, 4168, 5, 489, 121, 3274, 3, 31, 2152, 152, 31, 3430, 96, 4168, 5, 3, 17395, 3274, 3, 31, 9325, 739, 31, 1, -100, -100, -100, -100, ...
How many Wins have Goals against smaller than 30, and Goals for larger than 25, and Draws larger than 5?
CREATE TABLE table_name_66 (wins VARCHAR, draws VARCHAR, goals_against VARCHAR, goals_for VARCHAR)
SELECT COUNT(wins) FROM table_name_66 WHERE goals_against < 30 AND goals_for > 25 AND draws > 5
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 3757, 7, 584, 4280, 28027, 6, 14924, 584, 4280, 28027, 6, 1766, 834, 9, 16720, 7, 17, 584, 4280, 28027, 6, 1766, 834, 1161, 584, 4280, 28027, 61, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 1766, 834, 9, 16720, 7, 17, 3, 2, 604, 3430, 1766, 834, 1161, 2490, 944, 3430, 14924, 2490, 305, 1, -100, -100, -100, -100, -100, -...
What is the average lane for Kenya with react larger than 0.212?
CREATE TABLE table_65999 ( "Rank" real, "Lane" real, "Athlete" text, "Nationality" text, "Time" real, "React" real )
SELECT AVG("Lane") FROM table_65999 WHERE "Nationality" = 'kenya' AND "React" > '0.212'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4122, 19446, 41, 96, 22557, 121, 490, 6, 96, 434, 152, 15, 121, 490, 6, 96, 188, 189, 1655, 15, 121, 1499, 6, 96, 24732, 485, 121, 1499, 6, 96, 13368, 121, 490, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 121, 434, 152, 15, 8512, 21680, 953, 834, 4122, 19446, 549, 17444, 427, 96, 24732, 485, 121, 3274, 3, 31, 2217, 63, 9, 31, 3430, 96, 1649, 2708, 121, 2490, 3, 31, 18189, 2122, 31, 1, -100, -100, ...
When cardboard boxes is segment c what is segment a?
CREATE TABLE table_1196 ( "Series Ep." text, "Episode" real, "Netflix" text, "Segment A" text, "Segment B" text, "Segment C" text, "Segment D" text )
SELECT "Segment A" FROM table_1196 WHERE "Segment C" = 'Cardboard Boxes'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2596, 4314, 41, 96, 12106, 7, 10395, 535, 1499, 6, 96, 427, 102, 159, 32, 221, 121, 490, 6, 96, 9688, 89, 17591, 121, 1499, 6, 96, 134, 15, 122, 297, 71, 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, 134, 15, 122, 297, 71, 121, 21680, 953, 834, 2596, 4314, 549, 17444, 427, 96, 134, 15, 122, 297, 205, 121, 3274, 3, 31, 6936, 26, 1976, 5179, 15, 7, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what is the average place when the artist is juliana pasha & luiz ejlli and the points is more than 119?
CREATE TABLE table_14207 ( "Draw" real, "Artist" text, "Song" text, "Composer - Lyricist" text, "Points" real, "Place" real )
SELECT AVG("Place") FROM table_14207 WHERE "Artist" = 'juliana pasha & luiz ejlli' AND "Points" > '119'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2534, 26426, 41, 96, 308, 10936, 121, 490, 6, 96, 7754, 343, 121, 1499, 6, 96, 134, 2444, 121, 1499, 6, 96, 5890, 2748, 49, 3, 18, 5225, 2234, 343, 121, 1499, 6, 96, 22...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 121, 345, 11706, 8512, 21680, 953, 834, 2534, 26426, 549, 17444, 427, 96, 7754, 343, 121, 3274, 3, 31, 2047, 9928, 9, 330, 1024, 3, 184, 759, 172, 3, 15, 354, 195, 23, 31, 3430, 96, 22512, 7, 121...
Which race had Jacky Ickx as the winner and Clay Regazzoni with the fastest lap?
CREATE TABLE table_name_53 (race VARCHAR, winning_driver VARCHAR, fastest_lap VARCHAR)
SELECT race FROM table_name_53 WHERE winning_driver = "jacky ickx" AND fastest_lap = "clay regazzoni"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 12614, 584, 4280, 28027, 6, 3447, 834, 13739, 52, 584, 4280, 28027, 6, 10391, 834, 8478, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 1964, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 1964, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 3447, 834, 13739, 52, 3274, 96, 9325, 63, 3, 3142, 226, 121, 3430, 10391, 834, 8478, 3274, 96, 4651, 63, 3, 60, 21805, 8892, 23, 121, 1, -100, -100, -100, -...
Which second team had a first leg score of 83-69?
CREATE TABLE table_48966 ( "Team #1" text, "Agg." text, "Team #2" text, "1st leg" text, "2nd leg" text )
SELECT "Team #2" FROM table_48966 WHERE "1st leg" = '83-69'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 3914, 3539, 41, 96, 18699, 7172, 121, 1499, 6, 96, 188, 4102, 535, 1499, 6, 96, 18699, 15493, 121, 1499, 6, 96, 536, 7, 17, 4553, 121, 1499, 6, 96, 357, 727, 4553, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15493, 121, 21680, 953, 834, 591, 3914, 3539, 549, 17444, 427, 96, 536, 7, 17, 4553, 121, 3274, 3, 31, 4591, 18, 3951, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the registration of the station with a retained type and a station number of c03?
CREATE TABLE table_name_27 ( registrations VARCHAR, type VARCHAR, station_number VARCHAR )
SELECT registrations FROM table_name_27 WHERE type = "retained" AND station_number = "c03"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 3816, 7, 584, 4280, 28027, 6, 686, 584, 4280, 28027, 6, 2478, 834, 5525, 1152, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 3816...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3816, 7, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 686, 3274, 96, 60, 10733, 121, 3430, 2478, 834, 5525, 1152, 3274, 96, 75, 4928, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What place was Dave Stockton when he had a to par of +1?
CREATE TABLE table_name_10 ( place VARCHAR, to_par VARCHAR, player VARCHAR )
SELECT place FROM table_name_10 WHERE to_par = "+1" AND player = "dave stockton"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 286, 584, 4280, 28027, 6, 12, 834, 1893, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 286, 47, 8545, 6394, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 286, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 12, 834, 1893, 3274, 96, 18446, 121, 3430, 1959, 3274, 96, 26, 9, 162, 1519, 17, 106, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the greatest Year with a Player name of dave adams category:articles with hcards, and a Round smaller than 23?
CREATE TABLE table_60086 ( "Year" real, "Round" real, "Pick" real, "Overall" real, "Player name" text, "Position" text, "AFL team" text )
SELECT MAX("Year") FROM table_60086 WHERE "Player name" = 'dave adams category:articles with hcards' AND "Round" < '23'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 6007, 3840, 41, 96, 476, 2741, 121, 490, 6, 96, 448, 32, 1106, 121, 490, 6, 96, 345, 3142, 121, 490, 6, 96, 23847, 1748, 121, 490, 6, 96, 15800, 49, 564, 121, 1499, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 476, 2741, 8512, 21680, 953, 834, 6007, 3840, 549, 17444, 427, 96, 15800, 49, 564, 121, 3274, 3, 31, 26, 9, 162, 3, 9, 7812, 7, 3295, 10, 8372, 7, 28, 3, 107, 6043, 7, 31, 3430, 96, 448, 3...
Who directed # (season #) is 1 ( 2 )?
CREATE TABLE table_28210383_1 ( directed_by VARCHAR, _number__season__number_ VARCHAR )
SELECT directed_by FROM table_28210383_1 WHERE _number__season__number_ = "1 ( 2 )"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 357, 17864, 4591, 834, 536, 41, 6640, 834, 969, 584, 4280, 28027, 6, 3, 834, 5525, 1152, 834, 834, 9476, 834, 834, 5525, 1152, 834, 584, 4280, 28027, 3, 61, 3, 32102,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 6640, 834, 969, 21680, 953, 834, 2577, 357, 17864, 4591, 834, 536, 549, 17444, 427, 3, 834, 5525, 1152, 834, 834, 9476, 834, 834, 5525, 1152, 834, 3274, 96, 536, 41, 204, 3, 61, 121, 1, -100, -100, -100, -100, -10...
A bar chart about how many students live in each city?, and sort by the bar in desc.
CREATE TABLE Allergy_Type ( Allergy VARCHAR(20), AllergyType VARCHAR(20) ) CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20) ) CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) )
SELECT city_code, COUNT(*) FROM Student GROUP BY city_code ORDER BY city_code DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 432, 49, 122, 63, 834, 25160, 41, 432, 49, 122, 63, 584, 4280, 28027, 599, 1755, 201, 432, 49, 122, 63, 25160, 584, 4280, 28027, 599, 1755, 61, 3, 61, 3, 32102, 32103, 32102, 205, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 690, 834, 4978, 6, 2847, 17161, 599, 1935, 61, 21680, 6341, 350, 4630, 6880, 272, 476, 690, 834, 4978, 4674, 11300, 272, 476, 690, 834, 4978, 309, 25067, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who got the game high rebounds in game 46?
CREATE TABLE table_17001658_7 (high_rebounds VARCHAR, game VARCHAR)
SELECT high_rebounds FROM table_17001658_7 WHERE game = 46
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26774, 2938, 3449, 834, 940, 41, 6739, 834, 23768, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 530, 8, 467, 306, 3, 23768, 16, 467, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 306, 834, 23768, 21680, 953, 834, 26774, 2938, 3449, 834, 940, 549, 17444, 427, 467, 3274, 9668, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many different titles are there of episodes that have been seen by 7.84 million people in the US/
CREATE TABLE table_23242933_2 ( title VARCHAR, us_viewers__millions_ VARCHAR )
SELECT COUNT(title) FROM table_23242933_2 WHERE us_viewers__millions_ = "7.84"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 2266, 3166, 4201, 834, 357, 41, 2233, 584, 4280, 28027, 6, 178, 834, 4576, 277, 834, 834, 17030, 7, 834, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 21869, 61, 21680, 953, 834, 2773, 2266, 3166, 4201, 834, 357, 549, 17444, 427, 178, 834, 4576, 277, 834, 834, 17030, 7, 834, 3274, 96, 940, 5, 4608, 121, 1, -100, -100, -100, -100, -100, -100, -100...