NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
which event ended with the longest time ?
CREATE TABLE table_204_53 ( id number, "date" text, "result" text, "opponent" text, "event" text, "location" text, "method" text, "round" number, "time" text )
SELECT "event" FROM table_204_53 ORDER BY "time" DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 4867, 41, 3, 23, 26, 381, 6, 96, 5522, 121, 1499, 6, 96, 60, 7, 83, 17, 121, 1499, 6, 96, 32, 102, 9977, 121, 1499, 6, 96, 15, 2169, 121, 1499, 6, 96, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 15, 2169, 121, 21680, 953, 834, 26363, 834, 4867, 4674, 11300, 272, 476, 96, 715, 121, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Bar chart of total number of height from each sex
CREATE TABLE candidate ( Candidate_ID int, People_ID int, Poll_Source text, Date text, Support_rate real, Consider_rate real, Oppose_rate real, Unsure_rate real ) CREATE TABLE people ( People_ID int, Sex text, Name text, Date_of_Birth text, Height real, Weight re...
SELECT Sex, SUM(Height) FROM people GROUP BY Sex
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4775, 41, 25833, 17, 15, 834, 4309, 16, 17, 6, 2449, 834, 4309, 16, 17, 6, 14457, 834, 23799, 1499, 6, 7678, 1499, 6, 4224, 834, 2206, 490, 6, 9151, 834, 2206, 490, 6, 4495, 2748, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 679, 226, 6, 180, 6122, 599, 3845, 2632, 61, 21680, 151, 350, 4630, 6880, 272, 476, 679, 226, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what number of years did d.v. graves serve ?
CREATE TABLE table_203_577 ( id number, "tenure" text, "coach" text, "years" number, "record" text, "pct." number )
SELECT "years" FROM table_203_577 WHERE "coach" = 'd. v. graves'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 755, 4013, 41, 3, 23, 26, 381, 6, 96, 324, 1462, 121, 1499, 6, 96, 509, 1836, 121, 1499, 6, 96, 1201, 7, 121, 381, 6, 96, 60, 7621, 121, 1499, 6, 96, 102,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 1201, 7, 121, 21680, 953, 834, 23330, 834, 755, 4013, 549, 17444, 427, 96, 509, 1836, 121, 3274, 3, 31, 26, 5, 3, 208, 5, 7808, 7, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many 5th venue cities were there when Doha was the 1st venue city?
CREATE TABLE table_25020 ( "Year" real, "1st Venue" text, "2nd Venue" text, "3rd Venue" text, "4th Venue" text, "5th Venue" text )
SELECT COUNT("5th Venue") FROM table_25020 WHERE "1st Venue" = 'Doha'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 11434, 1755, 41, 96, 476, 2741, 121, 490, 6, 96, 536, 7, 17, 29940, 121, 1499, 6, 96, 357, 727, 29940, 121, 1499, 6, 96, 519, 52, 26, 29940, 121, 1499, 6, 96, 591, 189,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 755, 189, 29940, 8512, 21680, 953, 834, 11434, 1755, 549, 17444, 427, 96, 536, 7, 17, 29940, 121, 3274, 3, 31, 4135, 1024, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what is the play when the company is national theatre of greece?
CREATE TABLE table_name_11 (play VARCHAR, company VARCHAR)
SELECT play FROM table_name_11 WHERE company = "national theatre of greece"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 4895, 584, 4280, 28027, 6, 349, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 577, 116, 8, 349, 19, 1157, 8516, 13, 3, 3584, 15, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 577, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 349, 3274, 96, 16557, 8516, 13, 3, 3584, 15, 565, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
authors with at least 5 papers
CREATE TABLE writes ( paperid int, authorid int ) CREATE TABLE paper ( paperid int, title varchar, venueid int, year int, numciting int, numcitedby int, journalid int ) CREATE TABLE field ( fieldid int ) CREATE TABLE venue ( venueid int, venuename varchar ) CREATE TAB...
SELECT DISTINCT COUNT(paper.paperid), writes.authorid FROM paper, writes WHERE writes.paperid = paper.paperid GROUP BY writes.authorid HAVING COUNT(paper.paperid) >= 5
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 11858, 41, 1040, 23, 26, 16, 17, 6, 2291, 23, 26, 16, 17, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 1040, 41, 1040, 23, 26, 16, 17, 6, 2233, 3, 4331, 4059, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 15438, 25424, 6227, 2847, 17161, 599, 19587, 5, 19587, 23, 26, 201, 11858, 5, 17415, 23, 26, 21680, 1040, 6, 11858, 549, 17444, 427, 11858, 5, 19587, 23, 26, 3274, 1040, 5, 19587, 23, 26, 350, 4630, 6880, 272, ...
how much is the cost of a dvt - related to vascular catheter diagnosis?
CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE diagnosis ( diagnosisid...
SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'diagnosis' AND cost.eventid IN (SELECT diagnosis.diagnosisid FROM diagnosis WHERE diagnosis.diagnosisname = 'dvt - related to vascular catheter')
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7690, 41, 50, 9824, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 7690, 4350, 1499, 6, 50, 1999, 7, 83, 17, 381, 6, 50, 1999, 7, 83, 17, 715, 97, 3, 61, 3, 32102, 32103, 32102, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 15438, 25424, 6227, 583, 5, 11290, 21680, 583, 549, 17444, 427, 583, 5, 15, 2169, 6137, 3274, 3, 31, 25930, 4844, 159, 31, 3430, 583, 5, 15, 2169, 23, 26, 3388, 41, 23143, 14196, 8209, 5, 25930, 4844, 159, 23, ...
How many different high assists results are there for the game played on February 24?
CREATE TABLE table_23248940_9 (high_assists VARCHAR, date VARCHAR)
SELECT COUNT(high_assists) FROM table_23248940_9 WHERE date = "February 24"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 2266, 3914, 2445, 834, 1298, 41, 6739, 834, 6500, 7, 17, 7, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 315, 306, 13041, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 6739, 834, 6500, 7, 17, 7, 61, 21680, 953, 834, 2773, 2266, 3914, 2445, 834, 1298, 549, 17444, 427, 833, 3274, 96, 31122, 997, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the commissioned with a 636.3 project, and ordered status?
CREATE TABLE table_name_24 (commissioned VARCHAR, project VARCHAR, status VARCHAR)
SELECT commissioned FROM table_name_24 WHERE project = "636.3" AND status = "ordered"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 17183, 584, 4280, 28027, 6, 516, 584, 4280, 28027, 6, 2637, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 3, 17183, 28, 3, 9, 3, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17183, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 516, 3274, 96, 3891, 27865, 121, 3430, 2637, 3274, 96, 9397, 15, 26, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the entrant for Louis Chiron with a Chassis of T26C?
CREATE TABLE table_name_95 ( entrant VARCHAR, driver VARCHAR, chassis VARCHAR )
SELECT entrant FROM table_name_95 WHERE driver = "louis chiron" AND chassis = "t26c"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 3, 295, 3569, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 6, 22836, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 3, 295, 3569,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 295, 3569, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 2535, 3274, 96, 40, 1063, 159, 3, 11727, 106, 121, 3430, 22836, 3274, 96, 17, 2688, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What event did Mikhail Avetisyan win by method of DQ (eye gouging)?
CREATE TABLE table_name_98 ( event VARCHAR, method VARCHAR )
SELECT event FROM table_name_98 WHERE method = "dq (eye gouging)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 605, 584, 4280, 28027, 6, 1573, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 605, 410, 21475, 1024, 173, 71, 9287, 7, 63, 152, 1369, 57...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 605, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 1573, 3274, 96, 26, 1824, 41, 13370, 281, 76, 3896, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what are all the building with 12 storeys
CREATE TABLE table_13397394_1 ( building VARCHAR, storeys VARCHAR )
SELECT building FROM table_13397394_1 WHERE storeys = 12
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2368, 3288, 4552, 4240, 834, 536, 41, 740, 584, 4280, 28027, 6, 1078, 63, 7, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 33, 66, 8, 740, 28, 586, 1078, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 740, 21680, 953, 834, 2368, 3288, 4552, 4240, 834, 536, 549, 17444, 427, 1078, 63, 7, 3274, 586, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the sum of staterooms in with a year buit of 2008, and a crew less than 28?
CREATE TABLE table_name_62 ( staterooms INTEGER, year_built VARCHAR, crew VARCHAR )
SELECT SUM(staterooms) FROM table_name_62 WHERE year_built = 2008 AND crew < 28
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 538, 3082, 7, 3, 21342, 17966, 6, 215, 834, 16152, 584, 4280, 28027, 6, 4627, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 4505,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5540, 3082, 7, 61, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 215, 834, 16152, 3274, 2628, 3430, 4627, 3, 2, 2059, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the calcium for fat being 6.5
CREATE TABLE table_2493389_1 (calcium__mg_ VARCHAR, fat__g_ VARCHAR)
SELECT calcium__mg_ FROM table_2493389_1 WHERE fat__g_ = "6.5"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 4271, 519, 3914, 834, 536, 41, 10379, 2552, 834, 834, 51, 122, 834, 584, 4280, 28027, 6, 2886, 834, 834, 122, 834, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15167, 834, 834, 51, 122, 834, 21680, 953, 834, 2266, 4271, 519, 3914, 834, 536, 549, 17444, 427, 2886, 834, 834, 122, 834, 3274, 96, 17255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the smallest rank with a Lane of 1?
CREATE TABLE table_name_65 ( rank INTEGER, lane VARCHAR )
SELECT MIN(rank) FROM table_name_65 WHERE lane = 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 11003, 3, 21342, 17966, 6, 3, 8102, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 3, 17924, 11003, 28, 3, 9, 11834, 13, 209, 58...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 6254, 61, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 3, 8102, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
English title of amélie had what year?
CREATE TABLE table_name_87 (year VARCHAR, english_title VARCHAR)
SELECT year FROM table_name_87 WHERE english_title = "amélie"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4225, 41, 1201, 584, 4280, 28027, 6, 22269, 834, 21869, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 1566, 2233, 13, 183, 154, 1896, 141, 125, 215, 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, 215, 21680, 953, 834, 4350, 834, 4225, 549, 17444, 427, 22269, 834, 21869, 3274, 96, 9, 5079, 1896, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which opponent has april 2 as the date?
CREATE TABLE table_name_93 ( opponent VARCHAR, date VARCHAR )
SELECT opponent FROM table_name_93 WHERE date = "april 2"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 15264, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 15264, 65, 3, 9, 2246, 40, 204, 38, 8, 833, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 833, 3274, 96, 9, 2246, 40, 204, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the 1981 value of the Macedonian population with a 1971 number greater than 192 and a 1991 of 1748?
CREATE TABLE table_name_54 (number_1971 VARCHAR)
SELECT 1981 FROM table_name_54 WHERE number_1971 > 192 AND 1991 = 1748
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 5525, 1152, 834, 2294, 4450, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 15465, 701, 13, 8, 26076, 23, 152, 2074, 28, 3, 9, 17961,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15465, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 381, 834, 2294, 4450, 2490, 3, 19978, 3430, 9957, 3274, 1003, 3707, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the district Incumbent Julius Kahn was in that was smaller than 1906?
CREATE TABLE table_name_74 ( district VARCHAR, first_elected VARCHAR, incumbent VARCHAR )
SELECT district FROM table_name_74 WHERE first_elected < 1906 AND incumbent = "julius kahn"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 3939, 584, 4280, 28027, 6, 166, 834, 19971, 584, 4280, 28027, 6, 28406, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 3939, 1542, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3939, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 166, 834, 19971, 3, 2, 29696, 3430, 28406, 3274, 96, 2047, 29705, 3, 1258, 107, 29, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the date of return for the program for the program 'Big Brother'?
CREATE TABLE table_29566606_11 ( date_of_return VARCHAR, programme VARCHAR )
SELECT date_of_return FROM table_29566606_11 WHERE programme = "Big Brother"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3166, 4834, 3539, 5176, 834, 2596, 41, 833, 834, 858, 834, 60, 7535, 584, 4280, 28027, 6, 2486, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 833, 13,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 834, 858, 834, 60, 7535, 21680, 953, 834, 3166, 4834, 3539, 5176, 834, 2596, 549, 17444, 427, 2486, 3274, 96, 23805, 16397, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the name of the flag that means decimal digit 2?
CREATE TABLE table_29997112_3 ( flag_name VARCHAR, meaning VARCHAR )
SELECT flag_name FROM table_29997112_3 WHERE meaning = "Decimal Digit 2"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 19446, 4450, 2122, 834, 519, 41, 5692, 834, 4350, 584, 4280, 28027, 6, 2530, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 564, 13, 8, 5692, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5692, 834, 4350, 21680, 953, 834, 357, 19446, 4450, 2122, 834, 519, 549, 17444, 427, 2530, 3274, 96, 2962, 75, 23, 1982, 21951, 17, 204, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Please draw a histogram to show the total number of participants in each type code, and order in desc by the Participant_Type_Code.
CREATE TABLE Events ( Event_ID INTEGER, Service_ID INTEGER, Event_Details VARCHAR(255) ) CREATE TABLE Services ( Service_ID INTEGER, Service_Type_Code CHAR(15) ) CREATE TABLE Participants ( Participant_ID INTEGER, Participant_Type_Code CHAR(15), Participant_Details VARCHAR(255) ) CREA...
SELECT Participant_Type_Code, COUNT(Participant_Type_Code) FROM Participants GROUP BY Participant_Type_Code ORDER BY Participant_Type_Code DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 11137, 41, 8042, 834, 4309, 3, 21342, 17966, 6, 1387, 834, 4309, 3, 21342, 17966, 6, 8042, 834, 2962, 5756, 7, 584, 4280, 28027, 599, 25502, 61, 3, 61, 3, 32102, 32103, 32102, 205, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 15077, 288, 834, 25160, 834, 22737, 6, 2847, 17161, 599, 13725, 23, 3389, 288, 834, 25160, 834, 22737, 61, 21680, 19204, 350, 4630, 6880, 272, 476, 15077, 288, 834, 25160, 834, 22737, 4674, 11300, 272, 476, 15077, 288, ...
Which category does the product named 'flax' belong to?
CREATE TABLE product_characteristics ( product_id number, characteristic_id number, product_characteristic_value text ) CREATE TABLE products ( product_id number, color_code text, product_category_code text, product_name text, typical_buying_price text, typical_selling_price text, ...
SELECT product_category_code FROM products WHERE product_name = "flax"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 556, 834, 31886, 3040, 7, 41, 556, 834, 23, 26, 381, 6, 16115, 834, 23, 26, 381, 6, 556, 834, 31886, 3040, 834, 12097, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 556, 834, 8367, 839, 651, 834, 4978, 21680, 494, 549, 17444, 427, 556, 834, 4350, 3274, 96, 89, 521, 226, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many apartment bookings for each year? Draw a bar chart binning booking start date by year interval, and list from low to high by the y axis.
CREATE TABLE Apartments ( apt_id INTEGER, building_id INTEGER, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5) ) CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME, avail...
SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Guests AS T2 ON T1.guest_id = T2.guest_id ORDER BY COUNT(booking_start_date)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 15970, 7, 41, 3, 6789, 834, 23, 26, 3, 21342, 17966, 6, 740, 834, 23, 26, 3, 21342, 17966, 6, 3, 6789, 834, 6137, 834, 4978, 3, 28027, 599, 1808, 201, 3, 6789, 834, 5525, 1152, 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, 5038, 834, 10208, 834, 5522, 6, 2847, 17161, 599, 2567, 53, 834, 10208, 834, 5522, 61, 21680, 15970, 834, 13355, 53, 7, 6157, 332, 536, 3, 15355, 3162, 3, 22360, 6157, 332, 357, 9191, 332, 5411, 15991, 17, 834, 23, ...
how many kw was the radio in davao ?
CREATE TABLE table_204_164 ( id number, "branding" text, "callsign" text, "frequency" text, "power (kw)" text, "location" text )
SELECT "power (kw)" FROM table_204_164 WHERE "location" = 'davao'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 26987, 41, 3, 23, 26, 381, 6, 96, 12164, 53, 121, 1499, 6, 96, 16482, 6732, 121, 1499, 6, 96, 30989, 121, 1499, 6, 96, 6740, 41, 157, 210, 61, 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, 6740, 41, 157, 210, 61, 121, 21680, 953, 834, 26363, 834, 26987, 549, 17444, 427, 96, 14836, 121, 3274, 3, 31, 26, 8644, 32, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which higher secondary school listing has the lowest total and an Aided amount larger than 14?
CREATE TABLE table_32958 ( "Institution" text, "Government" real, "Aided" real, "Unaided" real, "Total" real )
SELECT MIN("Total") FROM table_32958 WHERE "Institution" = 'higher secondary school' AND "Aided" > '14'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 3166, 3449, 41, 96, 1570, 17448, 121, 1499, 6, 96, 27304, 297, 121, 490, 6, 96, 188, 1599, 26, 121, 490, 6, 96, 5110, 5385, 26, 121, 490, 6, 96, 3696, 1947, 121, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 3696, 1947, 8512, 21680, 953, 834, 519, 3166, 3449, 549, 17444, 427, 96, 1570, 17448, 121, 3274, 3, 31, 6739, 49, 6980, 496, 31, 3430, 96, 188, 1599, 26, 121, 2490, 3, 31, 2534, 31, 1, -100, ...
Who directed 'Fever'?
CREATE TABLE table_22860 ( "#" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" real, "U.S. viewers (in millions)" text )
SELECT "Directed by" FROM table_22860 WHERE "Title" = 'Fever'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 2577, 3328, 41, 96, 4663, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 24965, 324, 57, 121, 1499, 6, 96, 667, 3380, 10270...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 23620, 15, 26, 57, 121, 21680, 953, 834, 357, 2577, 3328, 549, 17444, 427, 96, 382, 155, 109, 121, 3274, 3, 31, 371, 3258, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
HOW MANY PLAYERS PLAY FOR OREGON?
CREATE TABLE table_17072 ( "Player" text, "Position" text, "School" text, "Hometown" text, "College" text )
SELECT COUNT("Player") FROM table_17072 WHERE "College" = 'Oregon'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4560, 357, 41, 96, 15800, 49, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 29364, 121, 1499, 6, 96, 19040, 3540, 121, 1499, 6, 96, 9939, 7883, 121, 1499, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 15800, 49, 8512, 21680, 953, 834, 2517, 4560, 357, 549, 17444, 427, 96, 9939, 7883, 121, 3274, 3, 31, 667, 60, 5307, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what film did the actor star in after street angel ?
CREATE TABLE table_204_707 ( id number, "year" number, "english title" text, "chinese title" text, "director" text, "role" text )
SELECT "english title" FROM table_204_707 WHERE id = (SELECT id FROM table_204_707 WHERE "english title" = 'street angel') + 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 2518, 940, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 4606, 40, 1273, 2233, 121, 1499, 6, 96, 1436, 1496, 15, 2233, 121, 1499, 6, 96, 25982, 121, 149...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 4606, 40, 1273, 2233, 121, 21680, 953, 834, 26363, 834, 2518, 940, 549, 17444, 427, 3, 23, 26, 3274, 41, 23143, 14196, 3, 23, 26, 21680, 953, 834, 26363, 834, 2518, 940, 549, 17444, 427, 96, 4606, 40, 1273, 22...
What country has a place of 4?
CREATE TABLE table_12322 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )
SELECT "Country" FROM table_12322 WHERE "Place" = '4'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 14574, 2884, 41, 96, 345, 11706, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 3696, 260, 121, 1499, 3, 61, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 96, 10628, 651, 121, 21680, 953, 834, 14574, 2884, 549, 17444, 427, 96, 345, 11706, 121, 3274, 3, 31, 591, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When there are more than 12 total medals and less than 5 gold medals, how many bronze medals are there?
CREATE TABLE table_58283 ( "Rank" text, "Nation" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT COUNT("Bronze") FROM table_58283 WHERE "Total" > '12' AND "Gold" < '5'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3449, 2577, 519, 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, 22780, 29, 776, 8512, 21680, 953, 834, 3449, 2577, 519, 549, 17444, 427, 96, 3696, 1947, 121, 2490, 3, 31, 2122, 31, 3430, 96, 23576, 121, 3, 2, 3, 31, 755, 31, 1, -100, -100, -100, -100, ...
Who had the fastest lap when the winning team was Tom's Racing?
CREATE TABLE table_16670746_2 (fastest_lap VARCHAR, winning_team VARCHAR)
SELECT fastest_lap FROM table_16670746_2 WHERE winning_team = "TOM'S Racing"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 3708, 4560, 4448, 834, 357, 41, 11584, 222, 834, 8478, 584, 4280, 28027, 6, 3447, 834, 11650, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 141, 8, 10391, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 10391, 834, 8478, 21680, 953, 834, 2938, 3708, 4560, 4448, 834, 357, 549, 17444, 427, 3447, 834, 11650, 3274, 96, 5647, 329, 31, 134, 16046, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the highest ERP W of the translator with a call sign of w284av?
CREATE TABLE table_51200 ( "Call sign" text, "Frequency MHz" real, "City of license" text, "ERP W" real, "Class" text, "FCC info" text )
SELECT MAX("ERP W") FROM table_51200 WHERE "Call sign" = 'w284av'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 5553, 3632, 41, 96, 254, 1748, 1320, 121, 1499, 6, 96, 371, 60, 835, 11298, 3, 20210, 121, 490, 6, 96, 254, 485, 13, 3344, 121, 1499, 6, 96, 3316, 345, 549, 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, 4800, 4, 599, 121, 3316, 345, 549, 8512, 21680, 953, 834, 5553, 3632, 549, 17444, 427, 96, 254, 1748, 1320, 121, 3274, 3, 31, 210, 357, 4608, 9, 208, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What NHL team did jim koleff play on?
CREATE TABLE table_1965650_8 ( nhl_team VARCHAR, player VARCHAR )
SELECT nhl_team FROM table_1965650_8 WHERE player = "Jim Koleff"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 4122, 15348, 834, 927, 41, 3, 29, 107, 40, 834, 11650, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 22313, 372, 410, 3, 354...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 29, 107, 40, 834, 11650, 21680, 953, 834, 2294, 4122, 15348, 834, 927, 549, 17444, 427, 1959, 3274, 96, 683, 603, 12561, 15, 89, 89, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
In season 2005 06, who is 3rd place?
CREATE TABLE table_3221 ( "Season" text, "Winner" text, "Runner-up" text, "Final Score" text, "3rd place" text )
SELECT "3rd place" FROM table_3221 WHERE "Season" = '2005–06'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2668, 2658, 41, 96, 134, 15, 9, 739, 121, 1499, 6, 96, 18455, 687, 121, 1499, 6, 96, 23572, 18, 413, 121, 1499, 6, 96, 371, 10270, 17763, 121, 1499, 6, 96, 519, 52, 26,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 519, 52, 26, 286, 121, 21680, 953, 834, 2668, 2658, 549, 17444, 427, 96, 134, 15, 9, 739, 121, 3274, 3, 31, 22594, 104, 5176, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
what is the one thing patient 006-81423 was diagnosed with until 2104 for the first time?
CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age te...
SELECT diagnosis.diagnosisname FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-81423')) AND STRFTIME('%y', diagnosis.diagnosistime) <= '2104...
[ 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, 8209, 5, 25930, 4844, 159, 4350, 21680, 8209, 549, 17444, 427, 8209, 5, 10061, 15129, 21545, 23, 26, 3388, 41, 23143, 14196, 1868, 5, 10061, 15129, 21545, 23, 26, 21680, 1868, 549, 17444, 427, 1868, 5, 10061, 15878, 3...
What record does the event of dream 9 with a round of 2 hold?
CREATE TABLE table_name_19 (record VARCHAR, round VARCHAR, event VARCHAR)
SELECT record FROM table_name_19 WHERE round = 2 AND event = "dream 9"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 60, 7621, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 1368, 405, 8, 605, 13, 2461, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 1751, 3274, 204, 3430, 605, 3274, 96, 26066, 668, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Record of 0 8 had what lowest week?
CREATE TABLE table_name_25 ( week INTEGER, record VARCHAR )
SELECT MIN(week) FROM table_name_25 WHERE record = "0–8"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 471, 3, 21342, 17966, 6, 1368, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 11392, 13, 3, 632, 505, 141, 125, 7402, 471, 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, 3, 17684, 599, 8041, 61, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 1368, 3274, 96, 632, 104, 927, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the most points with lost more than 1 and games less than 5
CREATE TABLE table_37132 ( "Games" real, "Drawn" real, "Lost" real, "Goal difference" text, "Points" real )
SELECT MAX("Points") FROM table_37132 WHERE "Lost" > '1' AND "Games" < '5'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4118, 23757, 41, 96, 23055, 7, 121, 490, 6, 96, 308, 10936, 29, 121, 490, 6, 96, 434, 3481, 121, 490, 6, 96, 6221, 138, 1750, 121, 1499, 6, 96, 22512, 7, 121, 490, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 22512, 7, 8512, 21680, 953, 834, 4118, 23757, 549, 17444, 427, 96, 434, 3481, 121, 2490, 3, 31, 536, 31, 3430, 96, 23055, 7, 121, 3, 2, 3, 31, 755, 31, 1, -100, -100, -100, -100, -100, -100, ...
What was the sum of the ranks for Japan who had less than 5 bronze medals and more than 3 silvers?
CREATE TABLE table_77030 ( "Rank" real, "Country" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT SUM("Rank") FROM table_77030 WHERE "Bronze" < '5' AND "Country" = 'japan' AND "Silver" > '3'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26920, 1458, 41, 96, 22557, 121, 490, 6, 96, 10628, 651, 121, 1499, 6, 96, 23576, 121, 490, 6, 96, 134, 173, 624, 121, 490, 6, 96, 22780, 29, 776, 121, 490, 6, 96, 3696...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 121, 22557, 8512, 21680, 953, 834, 26920, 1458, 549, 17444, 427, 96, 22780, 29, 776, 121, 3, 2, 3, 31, 755, 31, 3430, 96, 10628, 651, 121, 3274, 3, 31, 1191, 2837, 31, 3430, 96, 134, 173, 624, 12...
Which attendance has 9 as the tie no.?
CREATE TABLE table_name_43 ( attendance VARCHAR, tie_no VARCHAR )
SELECT attendance FROM table_name_43 WHERE tie_no = 9
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 11364, 584, 4280, 28027, 6, 6177, 834, 29, 32, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 11364, 65, 668, 38, 8, 6177, 150, 5, 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, 11364, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 6177, 834, 29, 32, 3274, 668, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the last episode which has segment d as blown glass?
CREATE TABLE table_19925 ( "Series Ep." text, "Episode" real, "Netflix" text, "Segment A" text, "Segment B" text, "Segment C" text, "Segment D" text )
SELECT MAX("Episode") FROM table_19925 WHERE "Segment D" = 'Blown Glass'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 19479, 1828, 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, 4800, 4, 599, 121, 427, 102, 159, 32, 221, 8512, 21680, 953, 834, 19479, 1828, 549, 17444, 427, 96, 134, 15, 122, 297, 309, 121, 3274, 3, 31, 279, 3216, 29, 7642, 31, 1, -100, -100, -100, -100, -100, -100, -100, ...
hiv positive
CREATE TABLE table_train_77 ( "id" int, "gender" string, "pregnancy_or_lactation" bool, "language" string, "hiv_aids" bool, "age" float, "NOUSE" float )
SELECT * FROM table_train_77 WHERE hiv_aids = 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9719, 834, 4013, 41, 96, 23, 26, 121, 16, 17, 6, 96, 122, 3868, 121, 6108, 6, 96, 2026, 11260, 11298, 834, 127, 834, 9700, 6821, 121, 3, 12840, 40, 6, 96, 24925, 121, 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, 1429, 21680, 953, 834, 9719, 834, 4013, 549, 17444, 427, 7102, 208, 834, 6146, 7, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the record when the visiting team was the montreal canadiens?
CREATE TABLE table_52850 ( "Date" text, "Visitor" text, "Score" text, "Home" text, "Record" text )
SELECT "Record" FROM table_52850 WHERE "Visitor" = 'montreal canadiens'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 5373, 17246, 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, 1649, 7621, 121, 21680, 953, 834, 5373, 17246, 549, 17444, 427, 96, 553, 159, 155, 127, 121, 3274, 3, 31, 4662, 6644, 27114, 7, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many Area's are there for Armstrong?
CREATE TABLE table_28367242_1 (area__km²_ VARCHAR, name VARCHAR)
SELECT COUNT(area__km²_) FROM table_28367242_1 WHERE name = "Armstrong"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3420, 5865, 4165, 834, 536, 41, 498, 834, 834, 5848, 357, 834, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 5690, 31, 7, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 498, 834, 834, 5848, 357, 834, 61, 21680, 953, 834, 2577, 3420, 5865, 4165, 834, 536, 549, 17444, 427, 564, 3274, 96, 23823, 25866, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What's the most in attendance when the Dolphins points were less than 24 and, they played the New England Patriots?
CREATE TABLE table_name_77 ( attendance INTEGER, dolphins_points VARCHAR, opponent VARCHAR )
SELECT MAX(attendance) FROM table_name_77 WHERE dolphins_points < 24 AND opponent = "new england patriots"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 11364, 3, 21342, 17966, 6, 25903, 7, 834, 2700, 7, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 25903, 7, 834, 2700, 7, 3, 2, 997, 3430, 15264, 3274, 96, 5534, 3, 4606, 40, 232, 6234, 12884, 7, 121, 1, -100, -100, -100, -100, ...
How many episodes in the series were directed by Alan Taylor?
CREATE TABLE table_2182654_3 (no_in_series VARCHAR, directed_by VARCHAR)
SELECT COUNT(no_in_series) FROM table_2182654_3 WHERE directed_by = "Alan Taylor"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 2606, 2688, 5062, 834, 519, 41, 29, 32, 834, 77, 834, 10833, 7, 584, 4280, 28027, 6, 6640, 834, 969, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 135...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 29, 32, 834, 77, 834, 10833, 7, 61, 21680, 953, 834, 357, 2606, 2688, 5062, 834, 519, 549, 17444, 427, 6640, 834, 969, 3274, 96, 188, 1618, 7909, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
get me patient 017-55081's los of the last icu stay.
CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime t...
SELECT STRFTIME('%j', patient.unitdischargetime) - STRFTIME('%j', patient.unitadmittime) FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-55081') AND NOT patient.unitadmittime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7757, 41, 7757, 23, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 2672, 4350, 1499, 6, 17166, 1499, 6, 2981, 20466, 29, 1499, 6, 2672, 10208, 715, 97, 6, 4845, 2916, 715, 97, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 13733, 6245, 15382, 599, 31, 1454, 354, 31, 6, 1868, 5, 15129, 26, 159, 7993, 715, 61, 3, 18, 3, 13733, 6245, 15382, 599, 31, 1454, 354, 31, 6, 1868, 5, 15129, 20466, 17, 715, 61, 21680, 1868, 549, 17444, 427...
Name the report for circuit of kyalami for south african republic trophy
CREATE TABLE table_name_8 (report VARCHAR, circuit VARCHAR, race_name VARCHAR)
SELECT report FROM table_name_8 WHERE circuit = "kyalami" AND race_name = "south african republic trophy"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 60, 1493, 584, 4280, 28027, 6, 4558, 584, 4280, 28027, 6, 1964, 834, 4350, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 934, 21, 4558, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 934, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 4558, 3274, 96, 3781, 138, 3690, 121, 3430, 1964, 834, 4350, 3274, 96, 7, 670, 107, 24040, 29, 20237, 23921, 121, 1, -100, -100, -100, -100, -100, -100, -100, -...
What is the earliest February date with a record of 37-13-4 in a game earlier than 54?
CREATE TABLE table_48451 ( "Game" real, "February" real, "Opponent" text, "Score" text, "Record" text )
SELECT MIN("February") FROM table_48451 WHERE "Record" = '37-13-4' AND "Game" < '54'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3707, 2128, 536, 41, 96, 23055, 121, 490, 6, 96, 31122, 121, 490, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 1649, 7621, 121, 1499, 3, 61, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 31122, 8512, 21680, 953, 834, 3707, 2128, 536, 549, 17444, 427, 96, 1649, 7621, 121, 3274, 3, 31, 4118, 13056, 4278, 31, 3430, 96, 23055, 121, 3, 2, 3, 31, 5062, 31, 1, -100, -100, -100, -100, ...
Who had the high points dated march 13?
CREATE TABLE table_886 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Record" text )
SELECT "High points" FROM table_886 WHERE "Date" = 'March 13'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 927, 3840, 41, 96, 23055, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 21417, 979, 121, 1499, 6, 96, 21417, 3, 237...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 21417, 979, 121, 21680, 953, 834, 927, 3840, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 25019, 1179, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Network has a Local name of moj tata je bolji od tvog tate?
CREATE TABLE table_40036 ( "Country" text, "Local name" text, "Host" text, "Network" text, "Date premiered" text )
SELECT "Network" FROM table_40036 WHERE "Local name" = 'moj tata je bolji od tvog tate'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 5548, 3420, 41, 96, 10628, 651, 121, 1499, 6, 96, 434, 32, 1489, 564, 121, 1499, 6, 96, 566, 3481, 121, 1499, 6, 96, 9688, 1981, 121, 1499, 6, 96, 308, 342, 13539, 26, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 9688, 1981, 121, 21680, 953, 834, 5548, 3420, 549, 17444, 427, 96, 434, 32, 1489, 564, 121, 3274, 3, 31, 51, 32, 354, 3, 11564, 528, 3, 4243, 354, 23, 3, 32, 26, 3, 17, 1621, 122, 3, 4748, 31, 1, -100, -...
how many patients have been treated with social work consult until 2 years ago?
CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE medication ( medicatio...
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'social work consult' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-2 year'))
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 8209, 41, 8209, 23, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 8209, 4350, 1499, 6, 8209, 715, 97, 6, 3, 447, 26, 1298, 4978, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 1868, 5, 202, 1495, 12417, 61, 21680, 1868, 549, 17444, 427, 1868, 5, 10061, 15129, 21545, 23, 26, 3388, 41, 23143, 14196, 1058, 5, 10061, 15129, 21545, 23, 26, 21680, 1058, 549, ...
What is the Name with an Average that is 16.4?
CREATE TABLE table_43185 ( "Name" text, "Innings" real, "Runs Scored" real, "Balls Faced" real, "Average" real, "S.R." real )
SELECT "Name" FROM table_43185 WHERE "Average" = '16.4'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4906, 21594, 41, 96, 23954, 121, 1499, 6, 96, 196, 9416, 7, 121, 490, 6, 96, 448, 202, 7, 17763, 26, 121, 490, 6, 96, 279, 1748, 7, 8881, 26, 121, 490, 6, 96, 188, 62...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 23954, 121, 21680, 953, 834, 4906, 21594, 549, 17444, 427, 96, 188, 624, 545, 121, 3274, 3, 31, 536, 27869, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Where is the peak Pico Basil located?
CREATE TABLE table_49480 ( "Peak" text, "Location" text, "Height (m)" real, "Prominence (m)" real, "Col (m)" real, "Parent" text )
SELECT "Location" FROM table_49480 WHERE "Peak" = 'pico basilé'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3647, 20579, 41, 96, 345, 15, 1639, 121, 1499, 6, 96, 434, 32, 75, 257, 121, 1499, 6, 96, 3845, 2632, 41, 51, 61, 121, 490, 6, 96, 3174, 1109, 1433, 41, 51, 61, 121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 434, 32, 75, 257, 121, 21680, 953, 834, 3647, 20579, 549, 17444, 427, 96, 345, 15, 1639, 121, 3274, 3, 31, 6174, 32, 20605, 154, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What are the number of goals conceded that has a played greater than 18?
CREATE TABLE table_name_13 ( goals_conceded VARCHAR, played INTEGER )
SELECT COUNT(goals_conceded) FROM table_name_13 WHERE played > 18
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 1766, 834, 11620, 221, 26, 584, 4280, 28027, 6, 1944, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 8, 381, 13, 1766, 28325, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 839, 5405, 834, 11620, 221, 26, 61, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 1944, 2490, 507, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the last round the team drafted?
CREATE TABLE table_14999879_2 ( round INTEGER )
SELECT MAX(round) FROM table_14999879_2
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2534, 3264, 3916, 4440, 834, 357, 41, 1751, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 336, 1751, 8, 372, 3, 23505, 58, 1, 0, 0, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 7775, 61, 21680, 953, 834, 2534, 3264, 3916, 4440, 834, 357, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the Date of vacancy for Tommy McLean?
CREATE TABLE table_name_80 ( date_of_vacancy VARCHAR, outgoing_manager VARCHAR )
SELECT date_of_vacancy FROM table_name_80 WHERE outgoing_manager = "tommy mclean"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 833, 834, 858, 834, 29685, 584, 4280, 28027, 6, 91, 9545, 834, 24185, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 7678, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 834, 858, 834, 29685, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 91, 9545, 834, 24185, 3274, 96, 235, 635, 63, 3, 51, 16480, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
how many times is the week # is audition?
CREATE TABLE table_27075510_1 (original_artist VARCHAR, week__number VARCHAR)
SELECT COUNT(original_artist) FROM table_27075510_1 WHERE week__number = "Audition"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 17485, 3072, 25926, 834, 536, 41, 21878, 834, 1408, 343, 584, 4280, 28027, 6, 471, 834, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 149, 186, 648, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 21878, 834, 1408, 343, 61, 21680, 953, 834, 17485, 3072, 25926, 834, 536, 549, 17444, 427, 471, 834, 834, 5525, 1152, 3274, 96, 188, 76, 10569, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the sum of the bronze medals won by south korea?
CREATE TABLE table_name_67 (bronze INTEGER, nation VARCHAR)
SELECT SUM(bronze) FROM table_name_67 WHERE nation = "south korea"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 13711, 776, 3, 21342, 17966, 6, 2982, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 4505, 13, 8, 13467, 9365, 7, 751, 57, 3414, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 13711, 776, 61, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 2982, 3274, 96, 7, 670, 107, 3, 5543, 15, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the origin of the name of Keller Patera?
CREATE TABLE table_72815 ( "Name" text, "Latitude" text, "Longitude" text, "Diameter (km)" text, "Year named" real, "Name origin" text )
SELECT "Name origin" FROM table_72815 WHERE "Name" = 'Keller Patera'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 2577, 1808, 41, 96, 23954, 121, 1499, 6, 96, 3612, 6592, 121, 1499, 6, 96, 434, 2444, 20341, 121, 1499, 6, 96, 23770, 4401, 41, 5848, 61, 121, 1499, 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, 23954, 5233, 121, 21680, 953, 834, 940, 2577, 1808, 549, 17444, 427, 96, 23954, 121, 3274, 3, 31, 439, 9670, 5192, 1498, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Country has a Place of t8 and byron nelson?
CREATE TABLE table_71230 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text, "Money ( $ )" real )
SELECT "Country" FROM table_71230 WHERE "Place" = 't8' AND "Player" = 'byron nelson'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4450, 13427, 41, 96, 345, 11706, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 3696, 260, 121, 1499, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 10628, 651, 121, 21680, 953, 834, 4450, 13427, 549, 17444, 427, 96, 345, 11706, 121, 3274, 3, 31, 17, 927, 31, 3430, 96, 15800, 49, 121, 3274, 3, 31, 969, 52, 106, 3, 29, 3573, 106, 31, 1, -100, -100, -100, ...
Overall attendance for week 4?
CREATE TABLE table_name_63 (attendance VARCHAR, week VARCHAR)
SELECT attendance FROM table_name_63 WHERE week = 4
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 15116, 663, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 9126, 11364, 21, 471, 314, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11364, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 471, 3274, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Show the minimum, average, and maximum age of all students.
CREATE TABLE Student (age INTEGER)
SELECT MIN(age), AVG(age), MAX(age) FROM Student
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6341, 41, 545, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 3111, 8, 2559, 6, 1348, 6, 11, 2411, 1246, 13, 66, 481, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 545, 201, 71, 17217, 599, 545, 201, 4800, 4, 599, 545, 61, 21680, 6341, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Team wins has an Individual winner smaller than 1 and Total win larger than 1?
CREATE TABLE table_name_60 (team_wins INTEGER, individual_winners VARCHAR, total_wins VARCHAR)
SELECT SUM(team_wins) FROM table_name_60 WHERE individual_winners < 1 AND total_wins > 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 11650, 834, 3757, 7, 3, 21342, 17966, 6, 928, 834, 3757, 687, 7, 584, 4280, 28027, 6, 792, 834, 3757, 7, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 11650, 834, 3757, 7, 61, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 928, 834, 3757, 687, 7, 3, 2, 209, 3430, 792, 834, 3757, 7, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
Who is the shirt sponsor for Captain Geoff Thomas' team?
CREATE TABLE table_54326 ( "Team" text, "Manager" text, "Captain" text, "Kit manufacturer" text, "Shirt sponsor" text )
SELECT "Shirt sponsor" FROM table_54326 WHERE "Captain" = 'geoff thomas'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 5062, 519, 2688, 41, 96, 18699, 121, 1499, 6, 96, 27272, 121, 1499, 6, 96, 19566, 17, 9, 77, 121, 1499, 6, 96, 439, 155, 4818, 121, 1499, 6, 96, 16671, 9037, 121, 1499, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 16671, 9037, 121, 21680, 953, 834, 5062, 519, 2688, 549, 17444, 427, 96, 19566, 17, 9, 77, 121, 3274, 3, 31, 397, 1647, 3, 189, 32, 2754, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Find the ids and names of stations from which at least 200 trips started.
CREATE TABLE trip ( start_station_id VARCHAR, start_station_name VARCHAR )
SELECT start_station_id, start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1469, 41, 456, 834, 6682, 834, 23, 26, 584, 4280, 28027, 6, 456, 834, 6682, 834, 4350, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2588, 8, 3, 23, 26, 7, 11, 3056, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 456, 834, 6682, 834, 23, 26, 6, 456, 834, 6682, 834, 4350, 21680, 1469, 350, 4630, 6880, 272, 476, 456, 834, 6682, 834, 4350, 454, 6968, 2365, 2847, 17161, 599, 1935, 61, 2490, 2423, 2382, 1, -100, -100, -100, -100,...
Which Thickness has a Weight of 3.50grams?
CREATE TABLE table_name_3 (thickness VARCHAR, weight VARCHAR)
SELECT thickness FROM table_name_3 WHERE weight = "3.50grams"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 189, 3142, 655, 584, 4280, 28027, 6, 1293, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 5791, 3142, 655, 65, 3, 9, 14230, 13, 1877, 1752, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14803, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 1293, 3274, 96, 9285, 632, 5096, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What are the career and other notes for wrestlers whose stable is oguruma?
CREATE TABLE table_1557974_1 (career_and_other_notes VARCHAR, stable VARCHAR)
SELECT career_and_other_notes FROM table_1557974_1 WHERE stable = "Oguruma"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20896, 4440, 4581, 834, 536, 41, 2864, 49, 834, 232, 834, 9269, 834, 7977, 7, 584, 4280, 28027, 6, 5711, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 8, 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, 0, 0, 0...
[ 3, 23143, 14196, 1415, 834, 232, 834, 9269, 834, 7977, 7, 21680, 953, 834, 20896, 4440, 4581, 834, 536, 549, 17444, 427, 5711, 3274, 96, 667, 21184, 51, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What week did they have a bye?
CREATE TABLE table_name_66 (week VARCHAR, opponent VARCHAR)
SELECT week FROM table_name_66 WHERE opponent = "bye"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 8041, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 471, 410, 79, 43, 3, 9, 57, 15, 58, 1, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 471, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 15264, 3274, 96, 969, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the episode that aired october 8, 1988
CREATE TABLE table_name_81 (episode_title VARCHAR, original_airdate VARCHAR)
SELECT episode_title FROM table_name_81 WHERE original_airdate = "october 8, 1988"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 15, 102, 159, 32, 221, 834, 21869, 584, 4280, 28027, 6, 926, 834, 2256, 5522, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 5640, 24, 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, 5640, 834, 21869, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 926, 834, 2256, 5522, 3274, 96, 32, 75, 235, 1152, 9478, 10414, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the minimum grid when there was more than 22 laps?
CREATE TABLE table_name_83 (grid INTEGER, laps INTEGER)
SELECT MIN(grid) FROM table_name_83 WHERE laps > 22
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 3496, 26, 3, 21342, 17966, 6, 14941, 7, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2559, 8634, 116, 132, 47, 72, 145, 1630, 14941,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3496, 26, 61, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 14941, 7, 2490, 1630, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Give me the comparison about the average of School_ID over the All_Home , and group by attribute All_Home by a bar chart.
CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Percent text, ACC_Home text, ACC_Road text, All_Games text, All_Games_Percent int, All_Home text, All_Road text, All_Neutral text ) CREATE TABLE university ( Scho...
SELECT All_Home, AVG(School_ID) FROM basketball_match GROUP BY All_Home
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 8498, 834, 19515, 41, 2271, 834, 4309, 16, 17, 6, 1121, 834, 4309, 16, 17, 6, 2271, 834, 23954, 1499, 6, 3, 14775, 834, 17748, 4885, 834, 134, 15, 9, 739, 1499, 6, 3, 14775, 834, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 432, 834, 19040, 6, 71, 17217, 599, 29364, 834, 4309, 61, 21680, 8498, 834, 19515, 350, 4630, 6880, 272, 476, 432, 834, 19040, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many women speak German?
CREATE TABLE table_name_67 ( females VARCHAR, language VARCHAR )
SELECT females FROM table_name_67 WHERE language = "german"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 3955, 7, 584, 4280, 28027, 6, 1612, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 887, 2516, 2968, 58, 1, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3955, 7, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 1612, 3274, 96, 1304, 348, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
If the team is Worcestershire and the Matched had were 5, what is the highest score?
CREATE TABLE table_27268238_4 ( highest_score VARCHAR, matches VARCHAR, team VARCHAR )
SELECT highest_score FROM table_27268238_4 WHERE matches = 5 AND team = "Worcestershire"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 2688, 4613, 3747, 834, 591, 41, 2030, 834, 7, 9022, 584, 4280, 28027, 6, 6407, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 156, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2030, 834, 7, 9022, 21680, 953, 834, 2555, 2688, 4613, 3747, 834, 591, 549, 17444, 427, 6407, 3274, 305, 3430, 372, 3274, 96, 518, 127, 565, 1370, 5718, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the total number of reason for change for not filled this congress
CREATE TABLE table_225200_4 (reason_for_change VARCHAR, date_successor_seated VARCHAR)
SELECT COUNT(reason_for_change) FROM table_225200_4 WHERE date_successor_seated = "Not filled this congress"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20489, 3632, 834, 591, 41, 864, 739, 834, 1161, 834, 13073, 584, 4280, 28027, 6, 833, 834, 7, 17431, 24901, 834, 22933, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 864, 739, 834, 1161, 834, 13073, 61, 21680, 953, 834, 20489, 3632, 834, 591, 549, 17444, 427, 833, 834, 7, 17431, 24901, 834, 22933, 3274, 96, 10358, 3353, 48, 27197, 121, 1, -100, -100, -100, -100, ...
what is the number of patients whose admission type is elective and ethnicity is black/cape verdean?
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 ) ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.ethnicity = "BLACK/CAPE VERDEAN"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4293, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 9, 26, 5451, 834, 6137, 3274, 96, 3577, 14196, 8087, 121, 3430, 14798, 5, 15, 189, 2532, 485, 32...
What home team played an away team of melbourne?
CREATE TABLE table_name_28 (home_team VARCHAR, away_team VARCHAR)
SELECT home_team FROM table_name_28 WHERE away_team = "melbourne"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 234, 372, 1944, 46, 550, 372, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 550, 834, 11650, 3274, 96, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what album had the singles i want you to know and again on them ?
CREATE TABLE table_204_689 ( id number, "year" number, "title" text, "album" text, "uk" number, "b-sides" text )
SELECT "album" FROM table_204_689 WHERE "title" = '"i want you to know"'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 948, 3914, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 21869, 121, 1499, 6, 96, 23703, 121, 1499, 6, 96, 1598, 121, 381, 6, 96, 115, 18, 1583, 7, 12...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 23703, 121, 21680, 953, 834, 26363, 834, 948, 3914, 549, 17444, 427, 96, 21869, 121, 3274, 3, 31, 121, 23, 241, 25, 12, 214, 121, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the climatic conditions for the trance- n himalaya zone?
CREATE TABLE table_10638523_1 ( trance__n_himalaya_zone VARCHAR, particulars_and_characteristics VARCHAR )
SELECT trance__n_himalaya_zone FROM table_10638523_1 WHERE particulars_and_characteristics = "Climatic conditions"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1714, 3891, 4433, 2773, 834, 536, 41, 3, 17, 5219, 834, 834, 29, 834, 10813, 22858, 834, 9431, 584, 4280, 28027, 6, 1090, 7, 834, 232, 834, 31886, 3040, 7, 584, 4280, 28027...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17, 5219, 834, 834, 29, 834, 10813, 22858, 834, 9431, 21680, 953, 834, 1714, 3891, 4433, 2773, 834, 536, 549, 17444, 427, 1090, 7, 834, 232, 834, 31886, 3040, 7, 3274, 96, 254, 4941, 6049, 1124, 121, 1, -100, -...
Which county has 728 (43%) listed under C. Abate?
CREATE TABLE table_61428 ( "County" text, "Precincts" text, "C. Abate" text, "R. Bacon" text, "D. Shulman" text )
SELECT "County" FROM table_61428 WHERE "C. Abate" = '728 (43%)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 948, 2534, 2577, 41, 96, 10628, 63, 121, 1499, 6, 96, 345, 7886, 29, 75, 17, 7, 121, 1499, 6, 96, 254, 5, 891, 342, 121, 1499, 6, 96, 448, 5, 13456, 106, 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, 10628, 63, 121, 21680, 953, 834, 948, 2534, 2577, 549, 17444, 427, 96, 254, 5, 891, 342, 121, 3274, 3, 31, 940, 2577, 41, 4906, 6210, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What are the distinct secretary votes in the fall election cycle?
CREATE TABLE student ( stuid number, lname text, fname text, age number, sex text, major number, advisor number, city_code text ) CREATE TABLE voting_record ( stuid number, registration_date text, election_cycle text, president_vote number, vice_president_vote number...
SELECT DISTINCT secretary_vote FROM voting_record WHERE election_cycle = "Fall"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1236, 41, 21341, 23, 26, 381, 6, 3, 40, 4350, 1499, 6, 3, 89, 4350, 1499, 6, 1246, 381, 6, 3, 7, 994, 1499, 6, 779, 381, 6, 8815, 381, 6, 690, 834, 4978, 1499, 3, 61, 3, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 15438, 25424, 6227, 15852, 834, 1621, 17, 15, 21680, 10601, 834, 60, 7621, 549, 17444, 427, 4356, 834, 10136, 3274, 96, 371, 1748, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What's the date of the new orleans team ?
CREATE TABLE table_27734577_8 ( date VARCHAR, team VARCHAR )
SELECT date FROM table_27734577_8 WHERE team = "New Orleans"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 4552, 2128, 4013, 834, 927, 41, 833, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, 833, 13, 8, 126, 42, 109, 3247...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 2555, 4552, 2128, 4013, 834, 927, 549, 17444, 427, 372, 3274, 96, 6861, 14433, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the time/retired when the laps is less than 4?
CREATE TABLE table_name_23 ( time_retired VARCHAR, laps INTEGER )
SELECT time_retired FROM table_name_23 WHERE laps < 4
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 97, 834, 10682, 1271, 584, 4280, 28027, 6, 14941, 7, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 97, 87, 10682, 1271, 116, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 97, 834, 10682, 1271, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 14941, 7, 3, 2, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Played is the highest one that has a Lost smaller than 1, and a Difference of 6, and an Against larger than 2?
CREATE TABLE table_5107 ( "Position" real, "Team" text, "Points" real, "Played" real, "Drawn" real, "Lost" real, "Against" real, "Difference" text )
SELECT MAX("Played") FROM table_5107 WHERE "Lost" < '1' AND "Difference" = '6' AND "Against" > '2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 18057, 41, 96, 345, 32, 7, 4749, 121, 490, 6, 96, 18699, 121, 1499, 6, 96, 22512, 7, 121, 490, 6, 96, 15800, 15, 26, 121, 490, 6, 96, 308, 10936, 29, 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, 4800, 4, 599, 121, 15800, 15, 26, 8512, 21680, 953, 834, 755, 18057, 549, 17444, 427, 96, 434, 3481, 121, 3, 2, 3, 31, 536, 31, 3430, 96, 308, 99, 11788, 121, 3274, 3, 31, 948, 31, 3430, 96, 20749, 121, 2490, ...
How many districts have Bart Stupak as the incumbent?
CREATE TABLE table_1341423_22 ( district VARCHAR, incumbent VARCHAR )
SELECT COUNT(district) FROM table_1341423_22 WHERE incumbent = "Bart Stupak"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23747, 2534, 2773, 834, 2884, 41, 3939, 584, 4280, 28027, 6, 28406, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 14126, 43, 1386, 17, 3, 13076, 16864, 38...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 26, 23, 20066, 61, 21680, 953, 834, 23747, 2534, 2773, 834, 2884, 549, 17444, 427, 28406, 3274, 96, 14851, 17, 3, 13076, 16864, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What's the name of the award given to Team number 23?
CREATE TABLE table_name_77 (award_name VARCHAR, team_number VARCHAR)
SELECT award_name FROM table_name_77 WHERE team_number = 23
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 9, 2239, 834, 4350, 584, 4280, 28027, 6, 372, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, 564, 13, 8, 2760, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2760, 834, 4350, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 372, 834, 5525, 1152, 3274, 1902, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the nationality of the player who played guard in 2006?
CREATE TABLE table_31855 ( "Name" text, "Nationality" text, "School/Club" text, "Season(s)" text, "Position(s)" text )
SELECT "Nationality" FROM table_31855 WHERE "Position(s)" = 'guard' AND "Season(s)" = '2006'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 2606, 3769, 41, 96, 23954, 121, 1499, 6, 96, 24732, 485, 121, 1499, 6, 96, 29364, 87, 254, 11158, 121, 1499, 6, 96, 134, 15, 9, 739, 599, 7, 61, 121, 1499, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 24732, 485, 121, 21680, 953, 834, 519, 2606, 3769, 549, 17444, 427, 96, 345, 32, 7, 4749, 599, 7, 61, 121, 3274, 3, 31, 11010, 31, 3430, 96, 134, 15, 9, 739, 599, 7, 61, 121, 3274, 3, 31, 21196, 31, 1, -...
in which year did bekele record his fastest 10,000 meter time from 2003-2012 ?
CREATE TABLE table_204_576 ( id number, "year" number, "best" text, "location" text, "date" text, "world rank" text )
SELECT "year" FROM table_204_576 ORDER BY "best" LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 755, 3959, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 9606, 121, 1499, 6, 96, 14836, 121, 1499, 6, 96, 5522, 121, 1499, 6, 96, 7276, 11003, 121, 1499...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 1201, 121, 21680, 953, 834, 26363, 834, 755, 3959, 4674, 11300, 272, 476, 96, 9606, 121, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the lowest wickets?
CREATE TABLE table_27268238_5 ( wickets INTEGER )
SELECT MIN(wickets) FROM table_27268238_5
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 2688, 4613, 3747, 834, 755, 41, 29719, 7, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 7402, 29719, 7, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 5981, 15, 17, 7, 61, 21680, 953, 834, 2555, 2688, 4613, 3747, 834, 755, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the score for the Tie no. 12?
CREATE TABLE table_name_71 ( score VARCHAR, tie_no VARCHAR )
SELECT score FROM table_name_71 WHERE tie_no = "12"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 2604, 584, 4280, 28027, 6, 6177, 834, 29, 32, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2604, 21, 8, 2262, 15, 150, 5, 586,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2604, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 6177, 834, 29, 32, 3274, 96, 2122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What players have a position of F?
CREATE TABLE table_31850 ( "Pick #" real, "MLS Team" text, "Player" text, "Position" text, "Affiliation" text )
SELECT "Player" FROM table_31850 WHERE "Position" = 'f'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3341, 17246, 41, 96, 345, 3142, 1713, 121, 490, 6, 96, 17976, 2271, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 188, 89, 8027, 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, 96, 15800, 49, 121, 21680, 953, 834, 3341, 17246, 549, 17444, 427, 96, 345, 32, 7, 4749, 121, 3274, 3, 31, 89, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many values for Macedonian correspond to Slovianski value of Veliki?
CREATE TABLE table_27266 ( "English" text, "Slovianski" text, "\u0421\u043b\u043e\u0432\u0458\u0430\u043d\u0441\u043a\u0438" text, "Russian" text, "Ukrainian" text, "Belarusian" text, "Polish" text, "Czech" text, "Slovak" text, "Upper Sorbian" text, "Slovene" text, "Croat...
SELECT COUNT("Macedonian") FROM table_27266 WHERE "Slovianski" = 'veliki'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 357, 3539, 41, 96, 26749, 121, 1499, 6, 96, 134, 5850, 7137, 2168, 121, 1499, 6, 96, 2, 76, 6348, 2658, 2, 76, 632, 4906, 115, 2, 76, 632, 4906, 15, 2, 76, 6348, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17772, 15, 26, 8008, 29, 8512, 21680, 953, 834, 2555, 357, 3539, 549, 17444, 427, 96, 134, 5850, 7137, 2168, 121, 3274, 3, 31, 4911, 9069, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100...
what is the class when part 2 is bond?
CREATE TABLE table_44369 ( "Class" text, "Part 1" text, "Part 2" text, "Part 3" text, "Part 4" text, "Verb meaning" text )
SELECT "Class" FROM table_44369 WHERE "Part 2" = 'bond'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3628, 519, 3951, 41, 96, 21486, 121, 1499, 6, 96, 13725, 209, 121, 1499, 6, 96, 13725, 204, 121, 1499, 6, 96, 13725, 220, 121, 1499, 6, 96, 13725, 3, 20364, 1499, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 21486, 121, 21680, 953, 834, 3628, 519, 3951, 549, 17444, 427, 96, 13725, 204, 121, 3274, 3, 31, 18414, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many of the patients with lumbago had excision or destruction of other lesion or tissue of heart (open approach)?
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, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE diagnoses.short_title = "Lumbago" AND procedures.long_title = "Excision or destruction of other lesion or tissue of heart...
[ 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, 3388, 18206, 3, 15355, 3162, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 3...
give me the number of patients whose year of birth is less than 2034 and item id is 51009?
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2034" AND lab.itemid = "51009"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4293, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 7690, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7690, 5, 8399, 51, 834, 23, 26, 549, 17444,...
Who are the judges in the Netherlands for the season airing 28 November 2011 24 December 2011?
CREATE TABLE table_29547 ( "Country" text, "Name" text, "Host(s)" text, "Judges" text, "Network" text, "Air dates" text )
SELECT "Judges" FROM table_29547 WHERE "Country" = 'Netherlands' AND "Air dates" = '28 November 2011 – 24 December 2011'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3301, 4177, 41, 96, 10628, 651, 121, 1499, 6, 96, 23954, 121, 1499, 6, 96, 566, 3481, 599, 7, 61, 121, 1499, 6, 96, 683, 13164, 7, 121, 1499, 6, 96, 9688, 1981, 12...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 683, 13164, 7, 121, 21680, 953, 834, 357, 3301, 4177, 549, 17444, 427, 96, 10628, 651, 121, 3274, 3, 31, 9688, 760, 6347, 31, 3430, 96, 20162, 5128, 121, 3274, 3, 31, 2577, 1671, 2722, 3, 104, 997, 1882, 2722,...
Which bumping/blocking has a yes for both the ankle tap and steal/intercept ball?
CREATE TABLE table_33078 ( "sliding tackle" text, "spear tackle" text, "dump tackle" text, "body tackle" text, "ankle tap" text, "diving tackle" text, "bumping/blocking" text, "shoulder charge" text, "steal/intercept ball" text, "Chicken wing" text )
SELECT "bumping/blocking" FROM table_33078 WHERE "ankle tap" = 'yes' AND "steal/intercept ball" = 'yes'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 17225, 3940, 41, 96, 7, 8130, 53, 8000, 121, 1499, 6, 96, 7, 855, 291, 8000, 121, 1499, 6, 96, 1259, 1167, 8000, 121, 1499, 6, 96, 6965, 8000, 121, 1499, 6, 96, 5979, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 115, 440, 2462, 87, 10734, 53, 121, 21680, 953, 834, 17225, 3940, 549, 17444, 427, 96, 5979, 109, 5011, 121, 3274, 3, 31, 10070, 31, 3430, 96, 849, 138, 87, 3870, 6873, 1996, 121, 3274, 3, 31, 10070, 31, 1, ...
What was the score in the September 20 game?
CREATE TABLE table_47353 ( "Date" text, "Time" text, "Opponent" text, "Location" text, "Score" text )
SELECT "Score" FROM table_47353 WHERE "Date" = 'september 20'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4177, 2469, 519, 41, 96, 308, 342, 121, 1499, 6, 96, 13368, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 434, 32, 75, 257, 121, 1499, 6, 96, 134, 9022, 121, 1499...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 96, 134, 9022, 121, 21680, 953, 834, 4177, 2469, 519, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 7, 6707, 18247, 460, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the vote % for Cliff Breitkreuz?
CREATE TABLE table_name_24 (votes__percentage VARCHAR, candidate VARCHAR)
SELECT votes__percentage FROM table_name_24 WHERE candidate = "cliff breitkreuz"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 1621, 1422, 834, 834, 883, 3728, 545, 584, 4280, 28027, 6, 4775, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2902, 3, 1454, 21, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11839, 834, 834, 883, 3728, 545, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 4775, 3274, 96, 12591, 20972, 28185, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...