NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
What is the hometown for Santiago?
CREATE TABLE table_61591 ( "Province, Community" text, "Contestant" text, "Height" text, "Hometown" text, "Geographical Regions" text )
SELECT "Hometown" FROM table_61591 WHERE "Province, Community" = 'santiago'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4241, 3390, 536, 41, 96, 3174, 2494, 565, 6, 3092, 121, 1499, 6, 96, 4302, 4377, 288, 121, 1499, 6, 96, 3845, 2632, 121, 1499, 6, 96, 19040, 3540, 121, 1499, 6, 96, 517, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 19040, 3540, 121, 21680, 953, 834, 4241, 3390, 536, 549, 17444, 427, 96, 3174, 2494, 565, 6, 3092, 121, 3274, 3, 31, 7, 5965, 9, 839, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the lfop 4/24/09 for opinionway of 4/17/09 of 5% for party of left front
CREATE TABLE table_name_43 (ifop_4_24_09 VARCHAR, opinionway_4_17_09 VARCHAR, party VARCHAR)
SELECT ifop_4_24_09 FROM table_name_43 WHERE opinionway_4_17_09 = "5%" AND party = "left front"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 99, 32, 102, 834, 591, 834, 2266, 834, 4198, 584, 4280, 28027, 6, 3474, 1343, 834, 591, 834, 2517, 834, 4198, 584, 4280, 28027, 6, 1088, 584, 4280, 280...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 99, 32, 102, 834, 591, 834, 2266, 834, 4198, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 3474, 1343, 834, 591, 834, 2517, 834, 4198, 3274, 96, 2712, 121, 3430, 1088, 3274, 96, 17068, 851, 121, 1, -100, -...
What package/option has documentaries as the content, yes as the HDTV, and a television service of history hd?
CREATE TABLE table_39987 ( "Television service" text, "Language" text, "Content" text, "HDTV" text, "Package/Option" text )
SELECT "Package/Option" FROM table_39987 WHERE "Content" = 'documentaries' AND "HDTV" = 'yes' AND "Television service" = 'history hd'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 3264, 4225, 41, 96, 382, 400, 6610, 313, 121, 1499, 6, 96, 434, 1468, 76, 545, 121, 1499, 6, 96, 4302, 4669, 121, 1499, 6, 96, 11083, 4562, 121, 1499, 6, 96, 24376, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 24376, 545, 87, 9546, 106, 121, 21680, 953, 834, 519, 3264, 4225, 549, 17444, 427, 96, 4302, 4669, 121, 3274, 3, 31, 28244, 5414, 31, 3430, 96, 11083, 4562, 121, 3274, 3, 31, 10070, 31, 3430, 96, 382, 400, 661...
What instrumental has tkven-i as the genitive?
CREATE TABLE table_50518 ( "Nominative" text, "Ergative" text, "Dative" text, "Genitive" text, "Instrumental" text, "Adverbial" text )
SELECT "Instrumental" FROM table_50518 WHERE "Genitive" = 'tkven-i'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1752, 755, 2606, 41, 96, 4168, 1109, 1528, 121, 1499, 6, 96, 10575, 122, 1528, 121, 1499, 6, 96, 308, 1528, 121, 1499, 6, 96, 13714, 23, 3268, 121, 1499, 6, 96, 1570, 615...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1570, 6159, 13974, 121, 21680, 953, 834, 1752, 755, 2606, 549, 17444, 427, 96, 13714, 23, 3268, 121, 3274, 3, 31, 17, 157, 1926, 18, 23, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many draft picks is player byron dafoe?
CREATE TABLE table_2897457_2 (pick__number VARCHAR, player VARCHAR)
SELECT COUNT(pick__number) FROM table_2897457_2 WHERE player = "Byron Dafoe"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3914, 4581, 3436, 834, 357, 41, 17967, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 6488, 1432, 7, 19,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 17967, 834, 834, 5525, 1152, 61, 21680, 953, 834, 357, 3914, 4581, 3436, 834, 357, 549, 17444, 427, 1959, 3274, 96, 30507, 878, 89, 32, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Opponent has an Event of jungle fight 5?
CREATE TABLE table_48093 ( "Res." text, "Record" text, "Opponent" text, "Method" text, "Event" text, "Round" real, "Time" text, "Location" text )
SELECT "Opponent" FROM table_48093 WHERE "Event" = 'jungle fight 5'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20579, 4271, 41, 96, 1649, 7, 535, 1499, 6, 96, 1649, 7621, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 23351, 107, 32, 26, 121, 1499, 6, 96, 427, 2169, 121, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 667, 102, 9977, 121, 21680, 953, 834, 20579, 4271, 549, 17444, 427, 96, 427, 2169, 121, 3274, 3, 31, 22498, 109, 2870, 305, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What are the coupon amount of the coupons owned by both good and bad customers?
CREATE TABLE Discount_Coupons (coupon_amount VARCHAR, coupon_id VARCHAR); CREATE TABLE customers (coupon_id VARCHAR, good_or_bad_customer VARCHAR)
SELECT T1.coupon_amount FROM Discount_Coupons AS T1 JOIN customers AS T2 ON T1.coupon_id = T2.coupon_id WHERE T2.good_or_bad_customer = 'good' INTERSECT SELECT T1.coupon_amount FROM Discount_Coupons AS T1 JOIN customers AS T2 ON T1.coupon_id = T2.coupon_id WHERE T2.good_or_bad_customer = 'bad'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 16111, 834, 3881, 413, 106, 7, 41, 15976, 106, 834, 9, 11231, 584, 4280, 28027, 6, 8133, 834, 23, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 722, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 5411, 15976, 106, 834, 9, 11231, 21680, 16111, 834, 3881, 413, 106, 7, 6157, 332, 536, 3, 15355, 3162, 722, 6157, 332, 357, 9191, 332, 5411, 15976, 106, 834, 23, 26, 3274, 332, 4416, 15976, 106, 834, 23, 26, ...
How many locations? Draw a bar chart.
CREATE TABLE train ( Train_ID int, Name text, Time text, Service text ) CREATE TABLE station ( Station_ID int, Name text, Annual_entry_exit real, Annual_interchanges real, Total_Passengers real, Location text, Main_Services text, Number_of_Platforms int ) CREATE TABLE t...
SELECT Location, COUNT(Location) FROM station GROUP BY Location
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2412, 41, 15059, 834, 4309, 16, 17, 6, 5570, 1499, 6, 2900, 1499, 6, 1387, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 2478, 41, 5939, 834, 4309, 16, 17, 6, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 10450, 6, 2847, 17161, 599, 434, 32, 75, 257, 61, 21680, 2478, 350, 4630, 6880, 272, 476, 10450, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the total for the player with a Finish of T39?
CREATE TABLE table_12441 ( "Player" text, "Country" text, "Year(s) won" text, "Total" real, "To par" text, "Finish" text )
SELECT "Total" FROM table_12441 WHERE "Finish" = 't39'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 22504, 4853, 41, 96, 15800, 49, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 476, 2741, 599, 7, 61, 751, 121, 1499, 6, 96, 3696, 1947, 121, 490, 6, 96, 3696, 260, 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, 3696, 1947, 121, 21680, 953, 834, 22504, 4853, 549, 17444, 427, 96, 371, 77, 1273, 121, 3274, 3, 31, 17, 3288, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the Record on the Date May 8?
CREATE TABLE table_name_15 ( record VARCHAR, date VARCHAR )
SELECT record FROM table_name_15 WHERE date = "may 8"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 1368, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 11392, 30, 8, 7678, 932, 505, 58, 1, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 833, 3274, 96, 13726, 505, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average number of tries for British and Irish Lions with less than 2 games?
CREATE TABLE table_name_82 ( tries INTEGER, team VARCHAR, games VARCHAR )
SELECT AVG(tries) FROM table_name_82 WHERE team = "british and irish lions" AND games < 2
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 3, 9000, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 1031, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1348, 381, 13, 3, 90...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 9000, 61, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 372, 3274, 96, 2160, 17, 1273, 11, 3, 24804, 107, 3, 7325, 7, 121, 3430, 1031, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, ...
What pregame analyst(s) had rob stone and monica gonzalez as sideline reporters and were on tsn2?
CREATE TABLE table_17516922_1 ( pregame_analysts VARCHAR, sideline_reporters VARCHAR, network VARCHAR )
SELECT pregame_analysts FROM table_17516922_1 WHERE sideline_reporters = "Rob Stone and Monica Gonzalez" AND network = "TSN2"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 5553, 3951, 2884, 834, 536, 41, 554, 7261, 834, 152, 9, 120, 7, 17, 7, 584, 4280, 28027, 6, 596, 747, 834, 60, 1493, 277, 584, 4280, 28027, 6, 1229, 584, 4280, 2802...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 554, 7261, 834, 152, 9, 120, 7, 17, 7, 21680, 953, 834, 2517, 5553, 3951, 2884, 834, 536, 549, 17444, 427, 596, 747, 834, 60, 1493, 277, 3274, 96, 24372, 5614, 11, 20268, 31403, 121, 3430, 1229, 3274, 96, 4578, 56...
What is the Prize amount of Winner Dominik Nitsche?
CREATE TABLE table_49357 ( "Date" text, "City" text, "Event" text, "Winner" text, "Prize" text )
SELECT "Prize" FROM table_49357 WHERE "Winner" = 'dominik nitsche'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3647, 519, 3436, 41, 96, 308, 342, 121, 1499, 6, 96, 254, 485, 121, 1499, 6, 96, 427, 2169, 121, 1499, 6, 96, 18455, 687, 121, 1499, 6, 96, 7855, 776, 121, 1499, 3, 61,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 7855, 776, 121, 21680, 953, 834, 3647, 519, 3436, 549, 17444, 427, 96, 18455, 687, 121, 3274, 3, 31, 5012, 23, 4953, 3, 29, 155, 3992, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the time for the second qualification where the best time was 1:20.772?
CREATE TABLE table_name_38 ( qual_2 VARCHAR, best VARCHAR )
SELECT qual_2 FROM table_name_38 WHERE best = "1:20.772"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 3, 11433, 834, 357, 584, 4280, 28027, 6, 200, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 97, 21, 8, 511, 15513, 213, 8, 200,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 11433, 834, 357, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 200, 3274, 96, 536, 10, 357, 22426, 5865, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the name of the MySpace Band with an Original Airdate of 19 february 2008?
CREATE TABLE table_40935 ( "Pilot" text, "Original Airdate" text, "Musical Guest/Song performed" text, "YouTube Hero" text, "MySpace Band" text )
SELECT "MySpace Band" FROM table_40935 WHERE "Original Airdate" = '19 february 2008'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 4198, 2469, 41, 96, 345, 23, 3171, 121, 1499, 6, 96, 667, 3380, 10270, 1761, 5522, 121, 1499, 6, 96, 29035, 138, 14252, 87, 134, 2444, 3032, 121, 1499, 6, 96, 3774, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7008, 24722, 4483, 121, 21680, 953, 834, 591, 4198, 2469, 549, 17444, 427, 96, 667, 3380, 10270, 1761, 5522, 121, 3274, 3, 31, 2294, 29976, 76, 1208, 2628, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the sum of Weight for the person with a height of 6'6'?
CREATE TABLE table_41654 ( "Name" text, "Height" text, "Weight (lbs.)" real, "Position" text, "Class" text, "Hometown" text )
SELECT SUM("Weight (lbs.)") FROM table_41654 WHERE "Height" = '6''6'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 2938, 5062, 41, 96, 23954, 121, 1499, 6, 96, 3845, 2632, 121, 1499, 6, 96, 1326, 2632, 41, 9949, 5, 61, 121, 490, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 21486,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1326, 2632, 41, 9949, 5, 61, 8512, 21680, 953, 834, 591, 2938, 5062, 549, 17444, 427, 96, 3845, 2632, 121, 3274, 3, 31, 948, 31, 31, 948, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
List the method, date and amount of all the payments, in ascending order of date.
CREATE TABLE Payments ( Payment_Method_Code VARCHAR, Date_Payment_Made VARCHAR, Amount_Payment VARCHAR )
SELECT Payment_Method_Code, Date_Payment_Made, Amount_Payment FROM Payments ORDER BY Date_Payment_Made
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 12248, 7, 41, 12248, 834, 23351, 107, 32, 26, 834, 22737, 584, 4280, 28027, 6, 7678, 834, 19702, 297, 834, 329, 9, 221, 584, 4280, 28027, 6, 71, 11231, 834, 19702, 297, 584, 4280, 28...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 12248, 834, 23351, 107, 32, 26, 834, 22737, 6, 7678, 834, 19702, 297, 834, 329, 9, 221, 6, 71, 11231, 834, 19702, 297, 21680, 12248, 7, 4674, 11300, 272, 476, 7678, 834, 19702, 297, 834, 329, 9, 221, 1, -100, -100...
What is the Competition for Season 2002 03, and the Opponent was zenit st. petersburg?
CREATE TABLE table_43371 ( "Season" text, "Competition" text, "Round" text, "Opponent" text, "Series" text )
SELECT "Competition" FROM table_43371 WHERE "Season" = '2002–03' AND "Opponent" = 'zenit st. petersburg'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4906, 4118, 536, 41, 96, 134, 15, 9, 739, 121, 1499, 6, 96, 5890, 4995, 4749, 121, 1499, 6, 96, 448, 32, 1106, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 12106...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5890, 4995, 4749, 121, 21680, 953, 834, 4906, 4118, 536, 549, 17444, 427, 96, 134, 15, 9, 739, 121, 3274, 3, 31, 24898, 104, 4928, 31, 3430, 96, 667, 102, 9977, 121, 3274, 3, 31, 1847, 155, 3, 7, 17, 5, 15...
what's the party with brooklyn value of 51.0%
CREATE TABLE table_1108394_43 ( party VARCHAR, brooklyn VARCHAR )
SELECT party FROM table_1108394_43 WHERE brooklyn = "51.0_percentage"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 19277, 4591, 4240, 834, 4906, 41, 1088, 584, 4280, 28027, 6, 3, 14370, 120, 29, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 31, 7, 8, 1088, 28, 3, 14370, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1088, 21680, 953, 834, 19277, 4591, 4240, 834, 4906, 549, 17444, 427, 3, 14370, 120, 29, 3274, 96, 755, 12734, 834, 883, 3728, 545, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Can you tell me the Date that has the Visitor of florida?
CREATE TABLE table_name_84 (date VARCHAR, visitor VARCHAR)
SELECT date FROM table_name_84 WHERE visitor = "florida"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 5522, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 1072, 25, 817, 140, 8, 7678, 24, 65, 8, 4957, 127, 13, 12215, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 7019, 3274, 96, 89, 322, 23, 26, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the average 2003 with 2,154,170 in 2010 and a 2008 less than 2,266,716?
CREATE TABLE table_61804 ( "2010" text, "2009" real, "2008" real, "2007" text, "2006" real, "2005" real, "2004" real, "2003" real, "2002" text )
SELECT AVG("2003") FROM table_61804 WHERE "2010" = '2,154,170' AND "2008" < '2,266,716'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4241, 2079, 591, 41, 96, 14926, 121, 1499, 6, 96, 16660, 121, 490, 6, 96, 16128, 121, 490, 6, 96, 20615, 121, 1499, 6, 96, 21196, 121, 490, 6, 96, 22594, 121, 490, 6, 9...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 121, 23948, 8512, 21680, 953, 834, 4241, 2079, 591, 549, 17444, 427, 96, 14926, 121, 3274, 3, 31, 4482, 27308, 6, 536, 2518, 31, 3430, 96, 16128, 121, 3, 2, 3, 31, 4482, 2688, 11071, 940, 2938, 31,...
what would be patient 006-71495's yearly average weight until 01/2102?
CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE treatment ( treat...
SELECT AVG(patient.admissionweight) FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-71495') AND NOT patient.admissionweight IS NULL AND STRFTIME('%y-%m', patient.unitadmittime) <= '2102-01' GROUP BY STRFTIME('%y', patient.unit...
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3362, 4267, 32, 4370, 41, 3362, 4267, 32, 26, 1294, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 2912, 381, 6, 3, 7, 9, 32, 357, 381, 6, 842, 2206, 381, 6, 14114, 257, 381, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 10061, 5, 9, 26, 5451, 9378, 61, 21680, 1868, 549, 17444, 427, 1868, 5, 10061, 15878, 3734, 21545, 23, 26, 3388, 41, 23143, 14196, 1868, 5, 10061, 15878, 3734, 21545, 23, 26, 21680, 1868, 549, 17444, ...
What's the total wins when the draws are less than 0?
CREATE TABLE table_name_92 ( wins VARCHAR, draws INTEGER )
SELECT COUNT(wins) FROM table_name_92 WHERE draws < 0
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 9204, 584, 4280, 28027, 6, 14924, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, 792, 9204, 116, 8, 14924, 33, 705, 145, 3, 63...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 3757, 7, 61, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 14924, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the result of the game when the attendance was 43,279?
CREATE TABLE table_name_8 ( result VARCHAR, attendance VARCHAR )
SELECT result FROM table_name_8 WHERE attendance = "43,279"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 741, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 741, 13, 8, 467, 116, 8, 11364, 47, 8838, 6, 357,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 11364, 3274, 96, 4906, 6, 357, 4440, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What campuses are in Los Angeles county?
CREATE TABLE csu_fees ( campus number, year number, campusfee number ) CREATE TABLE campuses ( id number, campus text, location text, county text, year number ) CREATE TABLE degrees ( year number, campus number, degrees number ) CREATE TABLE faculty ( campus number, ...
SELECT campus FROM campuses WHERE county = "Los Angeles"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3, 75, 7, 76, 834, 89, 15, 15, 7, 41, 4730, 381, 6, 215, 381, 6, 4730, 89, 15, 15, 381, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 25784, 41, 3, 23, 26, 381, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4730, 21680, 25784, 549, 17444, 427, 5435, 3274, 96, 434, 32, 7, 4975, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who are all of the players on the Westchester High School club team?
CREATE TABLE table_72072 ( "Player" text, "No." text, "Nationality" text, "Position" text, "Years in Toronto" text, "School/Club Team" text )
SELECT "Player" FROM table_72072 WHERE "School/Club Team" = 'Westchester High School'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 18517, 5865, 41, 96, 15800, 49, 121, 1499, 6, 96, 4168, 535, 1499, 6, 96, 24732, 485, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 476, 2741, 7, 16, 7030, 121,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 15800, 49, 121, 21680, 953, 834, 18517, 5865, 549, 17444, 427, 96, 29364, 87, 254, 11158, 2271, 121, 3274, 3, 31, 19069, 13263, 1592, 1121, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When has Score of 4–5, and a Record of 21–21–3?
CREATE TABLE table_name_94 (date VARCHAR, score VARCHAR, record VARCHAR)
SELECT date FROM table_name_94 WHERE score = "4–5" AND record = "21–21–3"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 5522, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 366, 65, 17763, 13, 314, 104, 11116, 11,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 2604, 3274, 96, 591, 104, 17395, 3430, 1368, 3274, 96, 2658, 104, 2658, 104, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is Fitzroy's Home team score?
CREATE TABLE table_name_60 ( home_team VARCHAR )
SELECT home_team AS score FROM table_name_60 WHERE home_team = "fitzroy"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 234, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 9783, 172, 8170, 31, 7, 1210, 372, 2604, 58, 1, 0, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 234, 834, 11650, 3274, 96, 89, 5615, 8170, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Return the date of birth for all the guests with gender code 'Male', and count them by a line chart, and display from high to low by the X.
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 Guests ( guest_id INTEGER, gender_code CHAR(1), guest_first_name VARCHAR(80), guest_la...
SELECT date_of_birth, COUNT(date_of_birth) FROM Guests WHERE gender_code = "Male" ORDER BY date_of_birth DESC
[ 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, 833, 834, 858, 834, 20663, 6, 2847, 17161, 599, 5522, 834, 858, 834, 20663, 61, 21680, 3, 22360, 549, 17444, 427, 7285, 834, 4978, 3274, 96, 329, 9, 109, 121, 4674, 11300, 272, 476, 833, 834, 858, 834, 20663, 309, ...
How much time is required for less than 35 laps and less than 10 grids?
CREATE TABLE table_78077 ( "Driver" text, "Constructor" text, "Laps" real, "Time/Retired" text, "Grid" real )
SELECT "Time/Retired" FROM table_78077 WHERE "Laps" < '35' AND "Grid" < '10'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 2079, 4013, 41, 96, 20982, 52, 121, 1499, 6, 96, 4302, 7593, 127, 121, 1499, 6, 96, 3612, 102, 7, 121, 490, 6, 96, 13368, 87, 1649, 11809, 26, 121, 1499, 6, 96, 13...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 13368, 87, 1649, 11809, 26, 121, 21680, 953, 834, 940, 2079, 4013, 549, 17444, 427, 96, 3612, 102, 7, 121, 3, 2, 3, 31, 2469, 31, 3430, 96, 13313, 26, 121, 3, 2, 3, 31, 1714, 31, 1, -100, -100, -100, -100,...
What is the name of the customer who has the most orders?
CREATE TABLE orders ( customer_id VARCHAR ) CREATE TABLE customers ( customer_name VARCHAR, customer_id VARCHAR )
SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY COUNT(*) DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 5022, 41, 884, 834, 23, 26, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 722, 41, 884, 834, 4350, 584, 4280, 28027, 6, 884, 834, 23, 26, 584, 4280, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 5411, 25697, 49, 834, 4350, 21680, 722, 6157, 332, 536, 3, 15355, 3162, 5022, 6157, 332, 357, 9191, 332, 5411, 25697, 49, 834, 23, 26, 3274, 332, 4416, 25697, 49, 834, 23, 26, 350, 4630, 6880, 272, 476, 332, ...
Where the mantra is 'o ya v yuve nama ', what is the direction of the guardian?
CREATE TABLE table_15900 ( "Name" text, "Direction" text, "Mantra" text, "Weapon" text, "Consort" text, "Graha (Planet)" text, "Guardian M\u0101t\u1e5bk\u0101" text )
SELECT "Direction" FROM table_15900 WHERE "Mantra" = 'Oṃ Yaṃ Vāyuve Namaḥ'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1808, 7015, 41, 96, 23954, 121, 1499, 6, 96, 23620, 23, 106, 121, 1499, 6, 96, 7296, 1313, 121, 1499, 6, 96, 1326, 9, 5041, 121, 1499, 6, 96, 4302, 9309, 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, 23620, 23, 106, 121, 21680, 953, 834, 1808, 7015, 549, 17444, 427, 96, 7296, 1313, 121, 3274, 3, 31, 667, 2, 4701, 2, 584, 2, 63, 76, 162, 18740, 9, 2, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
Find the actor with most number of films
CREATE TABLE producer ( pid int, gender text, name text, nationality text, birth_city text, birth_year int ) CREATE TABLE director ( did int, gender text, name text, nationality text, birth_city text, birth_year int ) CREATE TABLE tv_series ( sid int, title text...
SELECT actor.name FROM actor, cast, movie WHERE cast.aid = actor.aid AND movie.mid = cast.msid ORDER BY COUNT(DISTINCT (movie.title)) DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 8211, 41, 3, 12417, 16, 17, 6, 7285, 1499, 6, 564, 1499, 6, 1157, 485, 1499, 6, 3879, 834, 6726, 1499, 6, 3879, 834, 1201, 16, 17, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7556, 5, 4350, 21680, 7556, 6, 4061, 6, 1974, 549, 17444, 427, 4061, 5, 6146, 3274, 7556, 5, 6146, 3430, 1974, 5, 6983, 3274, 4061, 5, 51, 7, 23, 26, 4674, 11300, 272, 476, 2847, 17161, 599, 15438, 25424, 6227, 41...
How many wins were held before being defeated by toda?
CREATE TABLE table_78635 ( "Name" text, "Wins" real, "Start" text, "Duration" text, "Defeated by" text )
SELECT COUNT("Wins") FROM table_78635 WHERE "Defeated by" = 'toda'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 3840, 2469, 41, 96, 23954, 121, 1499, 6, 96, 18455, 7, 121, 490, 6, 96, 7681, 17, 121, 1499, 6, 96, 12998, 2661, 121, 1499, 6, 96, 16196, 15, 920, 57, 121, 1499, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 18455, 7, 8512, 21680, 953, 834, 940, 3840, 2469, 549, 17444, 427, 96, 16196, 15, 920, 57, 121, 3274, 3, 31, 235, 26, 9, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What Competition had a Result of lost 1-2?
CREATE TABLE table_7908 ( "Date" text, "Opponent" text, "Venue" text, "Result" text, "Attendance" text, "Competition" text, "Man of the Match" text )
SELECT "Competition" FROM table_7908 WHERE "Result" = 'lost 1-2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4440, 4018, 41, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 188, 17, 324, 26, 663, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 5890, 4995, 4749, 121, 21680, 953, 834, 4440, 4018, 549, 17444, 427, 96, 20119, 121, 3274, 3, 31, 2298, 17, 3, 9596, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the lowest numbered game on the list?
CREATE TABLE table_18978 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Record" text )
SELECT MIN("Game") FROM table_18978
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2606, 21441, 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, 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, 17684, 599, 121, 23055, 8512, 21680, 953, 834, 2606, 21441, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which major has the most students?
CREATE TABLE STUDENT (Major VARCHAR, major VARCHAR)
SELECT Major FROM STUDENT GROUP BY major ORDER BY COUNT(*) DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 5097, 10161, 6431, 41, 329, 9, 12775, 584, 4280, 28027, 6, 779, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 779, 65, 8, 167, 481, 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, 9236, 21680, 5097, 10161, 6431, 350, 4630, 6880, 272, 476, 779, 4674, 11300, 272, 476, 2847, 17161, 599, 1935, 61, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
what championship was played just before the us open ?
CREATE TABLE table_204_651 ( id number, "date" text, "championship" text, "location" text, "category" text, "surface" text, "prev. result" text, "prev. points" number, "new points" number, "outcome" text )
SELECT "championship" FROM table_204_651 WHERE id = (SELECT id FROM table_204_651 WHERE "championship" = 'us open') - 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 4122, 536, 41, 3, 23, 26, 381, 6, 96, 5522, 121, 1499, 6, 96, 17788, 12364, 2009, 121, 1499, 6, 96, 14836, 121, 1499, 6, 96, 8367, 839, 651, 121, 1499, 6, 9...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 17788, 12364, 2009, 121, 21680, 953, 834, 26363, 834, 4122, 536, 549, 17444, 427, 3, 23, 26, 3274, 41, 23143, 14196, 3, 23, 26, 21680, 953, 834, 26363, 834, 4122, 536, 549, 17444, 427, 96, 17788, 12364, 2009, 12...
Can you tell me the Out of that has the Source of united nations, and the Rank larger than 47, and the Year smaller than 2003?
CREATE TABLE table_name_31 ( out_of VARCHAR, year VARCHAR, source VARCHAR, rank VARCHAR )
SELECT out_of FROM table_name_31 WHERE source = "united nations" AND rank > 47 AND year < 2003
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 91, 834, 858, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 1391, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 91, 834, 858, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 1391, 3274, 96, 15129, 15, 26, 9352, 121, 3430, 11003, 2490, 10635, 3430, 215, 3, 2, 3888, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Give me a bar chart for all_games_percent of each team name, order in descending by the Team_Name please.
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 Team_Name, All_Games_Percent FROM basketball_match ORDER BY Team_Name DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 8498, 834, 19515, 41, 2271, 834, 4309, 16, 17, 6, 1121, 834, 4309, 16, 17, 6, 2271, 834, 23954, 1499, 6, 3, 14775, 834, 17748, 4885, 834, 134, 15, 9, 739, 1499, 6, 3, 14775, 834, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2271, 834, 23954, 6, 432, 834, 23055, 7, 834, 12988, 3728, 21680, 8498, 834, 19515, 4674, 11300, 272, 476, 2271, 834, 23954, 309, 25067, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what are all the percent (1990) where state is united states
CREATE TABLE table_17226 ( "State" text, "Norwegian Americans (1980)" real, "Percent (1980)" text, "Norwegian Americans (1990)" real, "Percent (1990)" text, "Norwegian Americans (2000)" real, "Percent (2000)" text, "Norwegian Americans (2009)" real, "Percent (2009)" text )
SELECT "Percent (1990)" FROM table_17226 WHERE "State" = 'United States'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27156, 2688, 41, 96, 134, 4748, 121, 1499, 6, 96, 567, 127, 1123, 22898, 5452, 2863, 2079, 61, 121, 490, 6, 96, 12988, 3728, 2863, 2079, 61, 121, 1499, 6, 96, 567, 127, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 12988, 3728, 2863, 2394, 61, 121, 21680, 953, 834, 27156, 2688, 549, 17444, 427, 96, 134, 4748, 121, 3274, 3, 31, 5110, 23, 1054, 1323, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who are the advisors for students that live in a city with city code "BAL"?
CREATE TABLE STUDENT (Advisor VARCHAR, city_code VARCHAR)
SELECT Advisor FROM STUDENT WHERE city_code = "BAL"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 5097, 10161, 6431, 41, 188, 26, 24680, 584, 4280, 28027, 6, 690, 834, 4978, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 33, 8, 8815, 7, 21, 481, 24, 619, 16, 3, 9, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 17228, 21680, 5097, 10161, 6431, 549, 17444, 427, 690, 834, 4978, 3274, 96, 279, 4090, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
On the date October 21, 2007, what is the No.?
CREATE TABLE table_73918 ( "Outcome" text, "No." text, "Date" text, "Championship" text, "Surface" text, "Opponent in the final" text, "Score in the final" text )
SELECT "No." FROM table_73918 WHERE "Date" = 'October 21, 2007'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 3288, 2606, 41, 96, 15767, 287, 15, 121, 1499, 6, 96, 4168, 535, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 254, 1483, 12364, 2009, 121, 1499, 6, 96, 134, 450, 4861, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 4168, 535, 21680, 953, 834, 940, 3288, 2606, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 28680, 12026, 4101, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Score of 2–3 ot on what date?
CREATE TABLE table_name_76 (date VARCHAR, score VARCHAR)
SELECT date FROM table_name_76 WHERE score = "2–3 ot"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 5522, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 17763, 13, 204, 104, 519, 3, 32, 17, 30, 125, 833, 58, 1, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 2604, 3274, 96, 357, 104, 519, 3, 32, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
macroalbuminuria > 300 mg albumin in 24 hours;
CREATE TABLE table_train_242 ( "id" int, "macroalbuminuria" bool, "hyperlipidemia" bool, "fasting_serum_triglycerides" int, "fasting_ldl_cholesterol" int, "panel_reactive_antibodies" int, "serum_creatinine" float, "albumin" float, "body_mass_index_bmi" float, "fasting_serum_chole...
SELECT * FROM table_train_242 WHERE macroalbuminuria = 1 OR albumin > 300
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9719, 834, 2266, 357, 41, 96, 23, 26, 121, 16, 17, 6, 96, 51, 9, 2771, 23703, 77, 459, 9, 121, 3, 12840, 40, 6, 96, 13397, 49, 19437, 11658, 121, 3, 12840, 40, 6, 96,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1429, 21680, 953, 834, 9719, 834, 2266, 357, 549, 17444, 427, 11663, 23703, 77, 459, 9, 3274, 209, 4674, 2306, 77, 2490, 3147, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Find the employee id for all employees who earn more than the average salary.
CREATE TABLE job_history ( employee_id number, start_date time, end_date time, job_id text, department_id number ) CREATE TABLE countries ( country_id text, country_name text, region_id number ) CREATE TABLE departments ( department_id number, department_name text, manager_...
SELECT employee_id FROM employees WHERE salary > (SELECT AVG(salary) FROM employees)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 613, 834, 10193, 10972, 41, 3490, 834, 23, 26, 381, 6, 456, 834, 5522, 97, 6, 414, 834, 5522, 97, 6, 613, 834, 23, 26, 1499, 6, 3066, 834, 23, 26, 381, 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, 3490, 834, 23, 26, 21680, 1652, 549, 17444, 427, 9090, 2490, 41, 23143, 14196, 71, 17217, 599, 7, 138, 1208, 61, 21680, 1652, 61, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
fc schalke 04 and what other club beat them ?
CREATE TABLE table_204_985 ( id number, "season" text, "competition" text, "round" text, "club" text, "home" text, "away" text, "aggregate" text )
SELECT "club" FROM table_204_985 WHERE "club" <> 'fc schalke 04' AND "aggregate" < "aggregate"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 3916, 755, 41, 3, 23, 26, 381, 6, 96, 9476, 121, 1499, 6, 96, 287, 4995, 4749, 121, 1499, 6, 96, 7775, 121, 1499, 6, 96, 13442, 121, 1499, 6, 96, 5515, 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, 13442, 121, 21680, 953, 834, 26363, 834, 3916, 755, 549, 17444, 427, 96, 13442, 121, 3, 2, 3155, 3, 31, 89, 75, 3, 7, 12654, 1050, 11484, 31, 3430, 96, 31761, 15, 121, 3, 2, 96, 31761, 15, 121, 1, -100, -1...
Which Semifinalist has a Tournament of stockholm?
CREATE TABLE table_8539 ( "Tournament" text, "Surface" text, "Week" text, "Winner and score" text, "Finalist" text, "Semifinalists" text )
SELECT "Semifinalists" FROM table_8539 WHERE "Tournament" = 'stockholm'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4433, 3288, 41, 96, 382, 1211, 20205, 17, 121, 1499, 6, 96, 134, 450, 4861, 121, 1499, 6, 96, 518, 10266, 121, 1499, 6, 96, 18455, 687, 11, 2604, 121, 1499, 6, 96, 371, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 15, 51, 23, 28077, 121, 21680, 953, 834, 4433, 3288, 549, 17444, 427, 96, 382, 1211, 20205, 17, 121, 3274, 3, 31, 7149, 2831, 51, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the Rank of the Swimmer with a Time of 2:25.65 in a Lane larger than 3?
CREATE TABLE table_name_36 ( rank INTEGER, time VARCHAR, lane VARCHAR )
SELECT AVG(rank) FROM table_name_36 WHERE time = "2:25.65" AND lane > 3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 11003, 3, 21342, 17966, 6, 97, 584, 4280, 28027, 6, 3, 8102, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 3, 22557, 13, 8, 278...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 6254, 61, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 97, 3274, 96, 357, 10, 1828, 5, 4122, 121, 3430, 3, 8102, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What week was the result of l 38–21?
CREATE TABLE table_name_63 (week INTEGER, result VARCHAR)
SELECT MAX(week) FROM table_name_63 WHERE result = "l 38–21"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 8041, 3, 21342, 17966, 6, 741, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 471, 47, 8, 741, 13, 3, 40, 6654, 104, 2658, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 8041, 61, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 741, 3274, 96, 40, 6654, 104, 2658, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who won 5th place when jean liatri augustine girsang won 4th place?
CREATE TABLE table_26488 ( "Year" real, "Putri Pariwisata Indonesia" text, "1st Runner Up" text, "2nd Runner Up" text, "3rd Runner Up" text, "4th Runner Up" text )
SELECT "4th Runner Up" FROM table_26488 WHERE "3rd Runner Up" = 'Jean Liatri Augustine Girsang'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26755, 4060, 41, 96, 476, 2741, 121, 490, 6, 96, 345, 76, 1788, 2180, 23, 210, 159, 144, 9, 9995, 121, 1499, 6, 96, 536, 7, 17, 3, 23572, 3234, 121, 1499, 6, 96, 357, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 591, 189, 3, 23572, 3234, 121, 21680, 953, 834, 26755, 4060, 549, 17444, 427, 96, 519, 52, 26, 3, 23572, 3234, 121, 3274, 3, 31, 7851, 152, 1414, 9, 1788, 1660, 630, 21210, 7, 1468, 31, 1, -100, -100, -100, ...
Can you tell me the Opponent that has the Week smaller than 11, and the TV Time of fox 10:00 am mt, and the Result of w 20-17?
CREATE TABLE table_44895 ( "Week" real, "Date" text, "TV Time" text, "Opponent" text, "Result" text )
SELECT "Opponent" FROM table_44895 WHERE "Week" < '11' AND "TV Time" = 'fox 10:00 am mt' AND "Result" = 'w 20-17'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 3707, 3301, 41, 96, 518, 10266, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 4562, 2900, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 20119, 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, 667, 102, 9977, 121, 21680, 953, 834, 591, 3707, 3301, 549, 17444, 427, 96, 518, 10266, 121, 3, 2, 3, 31, 2596, 31, 3430, 96, 4562, 2900, 121, 3274, 3, 31, 20400, 20199, 183, 3, 51, 17, 31, 3430, 96, 20119, ...
What is Round, when Record is '4-1'?
CREATE TABLE table_name_53 ( round VARCHAR, record VARCHAR )
SELECT round FROM table_name_53 WHERE record = "4-1"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 1751, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 9609, 6, 116, 11392, 19, 3, 31, 591, 2292, 31, 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, 1751, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 1368, 3274, 96, 591, 2292, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Sydney has a Gold Coast of yes, an Adelaide of no, and an Auckland of yes?
CREATE TABLE table_15346 ( "Sydney" text, "Melbourne" text, "Perth" text, "Adelaide" text, "Gold Coast" text, "Auckland" text )
SELECT "Sydney" FROM table_15346 WHERE "Gold Coast" = 'yes' AND "Adelaide" = 'no' AND "Auckland" = 'yes'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27025, 4448, 41, 96, 134, 63, 26, 3186, 121, 1499, 6, 96, 329, 15, 40, 26255, 121, 1499, 6, 96, 12988, 189, 121, 1499, 6, 96, 188, 221, 40, 5385, 121, 1499, 6, 96, 2357...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 63, 26, 3186, 121, 21680, 953, 834, 27025, 4448, 549, 17444, 427, 96, 23576, 5458, 121, 3274, 3, 31, 10070, 31, 3430, 96, 188, 221, 40, 5385, 121, 3274, 3, 31, 29, 32, 31, 3430, 96, 188, 4636, 40, 232, ...
What is week 6 when week 7, week 4, and week 3 are evicted and week 2 29.35?
CREATE TABLE table_name_22 (week_6 VARCHAR, week_2 VARCHAR, week_3 VARCHAR, week_7 VARCHAR, week_4 VARCHAR)
SELECT week_6 FROM table_name_22 WHERE week_7 = "evicted" AND week_4 = "evicted" AND week_3 = "evicted" AND week_2 = "29.35"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 8041, 834, 948, 584, 4280, 28027, 6, 471, 834, 357, 584, 4280, 28027, 6, 471, 834, 519, 584, 4280, 28027, 6, 471, 834, 940, 584, 4280, 28027, 6, 471, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 471, 834, 948, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 471, 834, 940, 3274, 96, 15, 7287, 1054, 121, 3430, 471, 834, 591, 3274, 96, 15, 7287, 1054, 121, 3430, 471, 834, 519, 3274, 96, 15, 7287, 1054, 12...
Name the drawn for llandaff rfc
CREATE TABLE table_18939 ( "Club" text, "Played" text, "Won" text, "Drawn" text, "Lost" text, "Points for" text, "Points against" text, "Tries for" text, "Tries against" text, "Try bonus" text, "Losing bonus" text, "Points" text )
SELECT "Drawn" FROM table_18939 WHERE "Club" = 'Llandaff RFC'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25312, 3288, 41, 96, 254, 11158, 121, 1499, 6, 96, 15800, 15, 26, 121, 1499, 6, 96, 518, 106, 121, 1499, 6, 96, 308, 10936, 29, 121, 1499, 6, 96, 434, 3481, 121, 1499, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 308, 10936, 29, 121, 21680, 953, 834, 25312, 3288, 549, 17444, 427, 96, 254, 11158, 121, 3274, 3, 31, 434, 40, 232, 4127, 391, 5390, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
WHich Play-by-play has a Studio host of gary tanguay, and a Studio analysts of donny marshall?
CREATE TABLE table_name_63 ( play_by_play VARCHAR, studio_host VARCHAR, studio_analysts VARCHAR )
SELECT play_by_play FROM table_name_63 WHERE studio_host = "gary tanguay" AND studio_analysts = "donny marshall"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 577, 834, 969, 834, 4895, 584, 4280, 28027, 6, 3100, 834, 12675, 584, 4280, 28027, 6, 3100, 834, 152, 9, 120, 7, 17, 7, 584, 4280, 28027, 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, 577, 834, 969, 834, 4895, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 3100, 834, 12675, 3274, 96, 1478, 63, 3, 8967, 76, 9, 63, 121, 3430, 3100, 834, 152, 9, 120, 7, 17, 7, 3274, 96, 26, 25011, 8113, 1151...
what is the last track listed on the record ?
CREATE TABLE table_203_228 ( id number, "#" number, "title" text, "songwriters" text, "producer(s)" text, "performer (s)" text )
SELECT "title" FROM table_203_228 ORDER BY id DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 357, 2577, 41, 3, 23, 26, 381, 6, 96, 4663, 121, 381, 6, 96, 21869, 121, 1499, 6, 96, 21101, 7, 121, 1499, 6, 96, 1409, 4817, 49, 599, 7, 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, 21869, 121, 21680, 953, 834, 23330, 834, 357, 2577, 4674, 11300, 272, 476, 3, 23, 26, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Show the title and the lowest rating among all movies in a bar chart, list in ascending by the bars.
CREATE TABLE Movie ( mID int, title text, year int, director text ) CREATE TABLE Rating ( rID int, mID int, stars int, ratingDate date ) CREATE TABLE Reviewer ( rID int, name text )
SELECT title, MIN(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY title ORDER BY title
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 10743, 41, 3, 51, 4309, 16, 17, 6, 2233, 1499, 6, 215, 16, 17, 6, 2090, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 21662, 41, 3, 52, 4309, 16, 17, 6, 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, 2233, 6, 3, 17684, 599, 382, 5411, 3624, 7, 61, 21680, 21662, 6157, 332, 536, 3, 15355, 3162, 10743, 6157, 332, 357, 9191, 332, 5411, 51, 4309, 3274, 332, 4416, 51, 4309, 350, 4630, 6880, 272, 476, 2233, 4674, 11300...
If the polling average in July 2009 was 7.2%, what was it in May 2009?
CREATE TABLE table_23680576_2 ( may_2009 VARCHAR, jul_2009 VARCHAR )
SELECT may_2009 FROM table_23680576_2 WHERE jul_2009 = "7.2%"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 3651, 3076, 3959, 834, 357, 41, 164, 834, 16660, 584, 4280, 28027, 6, 3, 354, 83, 834, 16660, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 156, 8, 5492, 53...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 164, 834, 16660, 21680, 953, 834, 2773, 3651, 3076, 3959, 834, 357, 549, 17444, 427, 3, 354, 83, 834, 16660, 3274, 96, 25791, 1454, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is order S24's LNER 1946 number?
CREATE TABLE table_74769 ( "Year" text, "Order No." text, "Quantity" real, "GER Nos." text, "LNER No." text, "LNER 1946 No." text )
SELECT "LNER 1946 No." FROM table_74769 WHERE "Order No." = 's24'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 4177, 3951, 41, 96, 476, 2741, 121, 1499, 6, 96, 7395, 588, 465, 535, 1499, 6, 96, 5991, 288, 485, 121, 490, 6, 96, 17966, 465, 7, 535, 1499, 6, 96, 434, 18206, 46...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 434, 18206, 25021, 465, 535, 21680, 953, 834, 940, 4177, 3951, 549, 17444, 427, 96, 7395, 588, 465, 535, 3274, 3, 31, 7, 2266, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
what is the primary disease and discharge time of the patient id 71798?
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, ...
SELECT demographic.diagnosis, demographic.dischtime FROM demographic WHERE demographic.subject_id = "71798"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4293, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 14798, 5, 25930, 4844, 159, 6, 14798, 5, 26, 2499, 715, 21680, 14798, 549, 17444, 427, 14798, 5, 7304, 11827, 834, 23, 26, 3274, 96, 940, 2517, 3916, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
how many patients whose age is less than 54 and drug name is sodium chloride 0.9% flush?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) C...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "54" AND prescriptions.drug = "Sodium Chloride 0.9% Flush"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 7744, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7744, 7, 5, 8399, 51, 834, 23, 26, 549...
What is the highest apps total with FA cup apps of 26 with total number of goals larger than 9?
CREATE TABLE table_name_41 (total_apps INTEGER, fa_cup_apps VARCHAR, total_goals VARCHAR)
SELECT MAX(total_apps) FROM table_name_41 WHERE fa_cup_apps = 26 AND total_goals > 9
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 235, 1947, 834, 3096, 7, 3, 21342, 17966, 6, 3, 89, 9, 834, 4658, 834, 3096, 7, 584, 4280, 28027, 6, 792, 834, 839, 5405, 584, 4280, 28027, 61, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 235, 1947, 834, 3096, 7, 61, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 3, 89, 9, 834, 4658, 834, 3096, 7, 3274, 2208, 3430, 792, 834, 839, 5405, 2490, 668, 1, -100, -100, -100, -100, -100, ...
What is the method of the match after round 1 in the k-1 andy memorial 2001 japan gp final?
CREATE TABLE table_name_82 (method VARCHAR, round VARCHAR, event VARCHAR)
SELECT method FROM table_name_82 WHERE round > 1 AND event = "k-1 andy memorial 2001 japan gp final"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 23152, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1573, 13, 8, 1588, 227, 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, 0, 0, 0...
[ 3, 23143, 14196, 1573, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 1751, 2490, 209, 3430, 605, 3274, 96, 157, 2292, 11, 63, 15827, 4402, 2662, 2837, 3, 122, 102, 804, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Find the number of routes whose destination airports are in Canada.
CREATE TABLE airports ( apid number, name text, city text, country text, x number, y number, elevation number, iata text, icao text ) CREATE TABLE routes ( rid number, dst_apid number, dst_ap text, src_apid number, src_ap text, alid number, airline text, ...
SELECT COUNT(*) FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.dst_apid WHERE country = 'Canada'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3761, 7, 41, 3, 9, 12417, 381, 6, 564, 1499, 6, 690, 1499, 6, 684, 1499, 6, 3, 226, 381, 6, 3, 63, 381, 6, 16417, 381, 6, 3, 17221, 1499, 6, 3, 2617, 32, 1499, 3, 61, 3, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 21680, 3761, 7, 6157, 332, 536, 3, 15355, 3162, 9729, 6157, 332, 357, 9191, 332, 5411, 9, 12417, 3274, 332, 4416, 26, 7, 17, 834, 9, 12417, 549, 17444, 427, 684, 3274, 3, 31, 28811, 31,...
What is the Date of the game with a Loss and Record of 7-9?
CREATE TABLE table_76424 ( "Date" text, "Opponent" text, "Score" text, "Result" text, "Record" text )
SELECT "Date" FROM table_76424 WHERE "Result" = 'loss' AND "Record" = '7-9'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3959, 591, 2266, 41, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 20119, 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, 308, 342, 121, 21680, 953, 834, 3959, 591, 2266, 549, 17444, 427, 96, 20119, 121, 3274, 3, 31, 2298, 7, 31, 3430, 96, 1649, 7621, 121, 3274, 3, 31, 29568, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
Which country is George Archer from?
CREATE TABLE table_name_22 (country VARCHAR, player VARCHAR)
SELECT country FROM table_name_22 WHERE player = "george archer"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 17529, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 684, 19, 3080, 9318, 49, 45, 58, 1, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 684, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 1959, 3274, 96, 397, 1677, 15, 11508, 49, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what is drug name of subject id 74345?
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions...
SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.subject_id = "74345"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7690, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 2118, 23, 26, 1499, 6, 5059, 715, 1499, 6, 5692, 1499, 6, 701, 834, 15129, 1499, 6, 3783, 1499, 6, 5798, 1499...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 7744, 7, 5, 26, 13534, 21680, 7744, 7, 549, 17444, 427, 7744, 7, 5, 7304, 11827, 834, 23, 26, 3274, 96, 4581, 3710, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
which year had the least amount of parts published ?
CREATE TABLE table_203_679 ( id number, "part" text, "number" text, "first public release date (first edition)" number, "latest public release date (edition)" number, "latest amendment" text, "title" text, "description" text )
SELECT "first public release date (first edition)" FROM table_203_679 GROUP BY "first public release date (first edition)" ORDER BY COUNT("part") LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 948, 4440, 41, 3, 23, 26, 381, 6, 96, 2274, 121, 1499, 6, 96, 5525, 1152, 121, 1499, 6, 96, 14672, 452, 1576, 833, 41, 14672, 4182, 61, 121, 381, 6, 96, 521...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14672, 452, 1576, 833, 41, 14672, 4182, 61, 121, 21680, 953, 834, 23330, 834, 948, 4440, 350, 4630, 6880, 272, 476, 96, 14672, 452, 1576, 833, 41, 14672, 4182, 61, 121, 4674, 11300, 272, 476, 2847, 17161, 599, 1...
List the venues of debates in ascending order of the number of audience, and count them by a pie chart
CREATE TABLE debate_people ( Debate_ID int, Affirmative int, Negative int, If_Affirmative_Win bool ) CREATE TABLE debate ( Debate_ID int, Date text, Venue text, Num_of_Audience int ) CREATE TABLE people ( People_ID int, District text, Name text, Party text, Age int ...
SELECT Venue, COUNT(Venue) FROM debate GROUP BY Venue ORDER BY Num_of_Audience
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 5054, 834, 16588, 41, 9794, 342, 834, 4309, 16, 17, 6, 71, 89, 7001, 1528, 16, 17, 6, 17141, 1528, 16, 17, 6, 156, 834, 188, 89, 7001, 1528, 834, 18455, 3, 12840, 40, 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, 29940, 6, 2847, 17161, 599, 553, 35, 76, 15, 61, 21680, 5054, 350, 4630, 6880, 272, 476, 29940, 4674, 11300, 272, 476, 1174, 51, 834, 858, 834, 188, 5291, 1433, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the total of overall values with a safety position in a round greater than 1?
CREATE TABLE table_name_26 ( overall VARCHAR, position VARCHAR, round VARCHAR )
SELECT COUNT(overall) FROM table_name_26 WHERE position = "safety" AND round > 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 1879, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 792, 13, 1879, 2620, 28...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1890, 1748, 61, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 1102, 3274, 96, 15233, 17, 63, 121, 3430, 1751, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What format has conference iii as the conference?
CREATE TABLE table_name_42 (format VARCHAR, conference VARCHAR)
SELECT format FROM table_name_42 WHERE conference = "conference iii"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4165, 41, 8995, 584, 4280, 28027, 6, 2542, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 1910, 65, 2542, 3, 23, 23, 23, 38, 8, 2542, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1910, 21680, 953, 834, 4350, 834, 4165, 549, 17444, 427, 2542, 3274, 96, 28496, 3, 23, 23, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What sport is the cb estudiantes club in?
CREATE TABLE table_63525 ( "Club" text, "League" text, "Sport" text, "Venue" text, "Established" real, "Capacity" real )
SELECT "Sport" FROM table_63525 WHERE "Club" = 'cb estudiantes'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 948, 2469, 1828, 41, 96, 254, 11158, 121, 1499, 6, 96, 2796, 9, 5398, 121, 1499, 6, 96, 17682, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 14997, 15403, 11904, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17682, 121, 21680, 953, 834, 948, 2469, 1828, 549, 17444, 427, 96, 254, 11158, 121, 3274, 3, 31, 75, 115, 259, 5291, 8386, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the home team's score when they played Richmond?
CREATE TABLE table_name_13 (home_team VARCHAR, away_team VARCHAR)
SELECT home_team AS score FROM table_name_13 WHERE away_team = "richmond"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 234, 372, 31, 7, 2604, 116, 79...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 550, 834, 11650, 3274, 96, 3723, 6764, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was Parker Moloney's party affiliation when he was the Minister for Markets?
CREATE TABLE table_name_3 ( party VARCHAR, minister VARCHAR, title VARCHAR )
SELECT party FROM table_name_3 WHERE minister = "parker moloney" AND title = "minister for markets"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 1088, 584, 4280, 28027, 6, 6323, 584, 4280, 28027, 6, 2233, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 13156, 11019, 782, 63, 31, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1088, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 6323, 3274, 96, 6334, 49, 3, 4641, 782, 63, 121, 3430, 2233, 3274, 96, 17791, 21, 3212, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the surface of the match with Brian Gottfried as the runner-up?
CREATE TABLE table_name_47 (surface VARCHAR, runner_up VARCHAR)
SELECT surface FROM table_name_47 WHERE runner_up = "brian gottfried"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 26899, 584, 4280, 28027, 6, 3, 10806, 834, 413, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1774, 13, 8, 1588, 28, 7798, 11922, 77...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1774, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 3, 10806, 834, 413, 3274, 96, 2160, 152, 530, 17, 7704, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What position is the player whose first year is 2014
CREATE TABLE table_1560673_1 (position_in_2013 VARCHAR, first_season VARCHAR)
SELECT position_in_2013 FROM table_1560673_1 WHERE first_season = 2014
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25463, 5176, 4552, 834, 536, 41, 4718, 834, 77, 834, 11138, 584, 4280, 28027, 6, 166, 834, 9476, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 1102, 19, 8, 1959, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1102, 834, 77, 834, 11138, 21680, 953, 834, 25463, 5176, 4552, 834, 536, 549, 17444, 427, 166, 834, 9476, 3274, 1412, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
calculate the number of patients born before 1879 ere tranferred within the facility.
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND demographic.dob_year < "1879"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 18730, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 9, 26, 5451, 834, 14836, 3274, 96, 11421, 7016, 11951, 3162, 12689, 377, 5173, 3502, 15296, 121, 3...
For those products with a price between 60 and 120, return a bar chart about the distribution of name and code , I want to sort from low to high by the Y.
CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER ) CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL )
SELECT Name, Code FROM Products WHERE Price BETWEEN 60 AND 120 ORDER BY Code
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7554, 41, 3636, 3, 21342, 17966, 6, 5570, 584, 4280, 28027, 599, 25502, 201, 5312, 3396, 254, 26330, 434, 6, 15248, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 5570, 6, 3636, 21680, 7554, 549, 17444, 427, 5312, 272, 7969, 518, 23394, 1640, 3430, 5864, 4674, 11300, 272, 476, 3636, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Tell me the surface for november 28, 2010
CREATE TABLE table_31944 ( "Outcome" text, "Date" text, "Tournament" text, "Surface" text, "Opponent in the final" text, "Score" text )
SELECT "Surface" FROM table_31944 WHERE "Date" = 'november 28, 2010'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 2294, 3628, 41, 96, 15767, 287, 15, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 382, 1211, 20205, 17, 121, 1499, 6, 96, 134, 450, 4861, 121, 1499, 6, 96, 667, 10...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 450, 4861, 121, 21680, 953, 834, 519, 2294, 3628, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 5326, 18247, 13719, 2735, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What which player from Canada was picked #49 and plays left wing?
CREATE TABLE table_name_18 ( player VARCHAR, pick__number VARCHAR, nationality VARCHAR, position VARCHAR )
SELECT player FROM table_name_18 WHERE nationality = "canada" AND position = "left wing" AND pick__number = "49"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 1959, 584, 4280, 28027, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 3, 61, 3, 32102, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 1157, 485, 3274, 96, 658, 18089, 121, 3430, 1102, 3274, 96, 17068, 3, 3108, 121, 3430, 1432, 834, 834, 5525, 1152, 3274, 96, 3647, 121, 1, -100, -100, -100, -...
creatinine clearance < 60 by cockcroft _ gault calculator
CREATE TABLE table_dev_58 ( "id" int, "gender" string, "pregnancy_or_lactation" bool, "intra_aortic_balloon_pump_iabp" bool, "systemic_arterial_po2" int, "creatinine_clearance_cl" float, "supplemental_oxygen" bool, "age" float, "NOUSE" float )
SELECT * FROM table_dev_58 WHERE creatinine_clearance_cl < 60
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9776, 834, 3449, 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, 20322, 9, 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, 1429, 21680, 953, 834, 9776, 834, 3449, 549, 17444, 427, 8830, 77, 630, 834, 2482, 9, 5219, 834, 75, 40, 3, 2, 1640, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the number of three pointers for 67
CREATE TABLE table_25700 ( "Player" text, "Games Played" real, "Minutes" real, "Field Goals" real, "Three Pointers" real, "Free Throws" real, "Rebounds" real, "Assists" real, "Blocks" real, "Steals" real, "Points" real )
SELECT COUNT("Three Pointers") FROM table_25700 WHERE "Points" = '67'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 9295, 41, 96, 15800, 49, 121, 1499, 6, 96, 23055, 7, 2911, 15, 26, 121, 490, 6, 96, 12858, 2810, 7, 121, 490, 6, 96, 3183, 8804, 17916, 7, 121, 490, 6, 96, 11889,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 11889, 15, 15, 4564, 277, 8512, 21680, 953, 834, 1828, 9295, 549, 17444, 427, 96, 22512, 7, 121, 3274, 3, 31, 3708, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
When 82.74 is the area in kilometers squared what is the pop.density (per km2)?
CREATE TABLE table_29289372_1 (pop_density__per_km²_ VARCHAR, area__km²_ VARCHAR)
SELECT pop_density__per_km²_ FROM table_29289372_1 WHERE area__km²_ = "82.74"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3166, 2577, 4271, 5865, 834, 536, 41, 9791, 834, 537, 7, 485, 834, 834, 883, 834, 5848, 357, 834, 584, 4280, 28027, 6, 616, 834, 834, 5848, 357, 834, 584, 4280, 28027, 61, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2783, 834, 537, 7, 485, 834, 834, 883, 834, 5848, 357, 834, 21680, 953, 834, 3166, 2577, 4271, 5865, 834, 536, 549, 17444, 427, 616, 834, 834, 5848, 357, 834, 3274, 96, 4613, 5, 4581, 121, 1, -100, -100, -100, -10...
How many female students (sex is F) whose age is below 25?
CREATE TABLE student (sex VARCHAR, age VARCHAR)
SELECT COUNT(*) FROM student WHERE sex = 'F' AND age < 25
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1236, 41, 7, 994, 584, 4280, 28027, 6, 1246, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 3955, 481, 41, 7, 994, 19, 377, 61, 3, 2544, 1246, 19, 666, 944, 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, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 21680, 1236, 549, 17444, 427, 3, 7, 994, 3274, 3, 31, 371, 31, 3430, 1246, 3, 2, 944, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest number of places for Sherri Baier / Robin Cowan when ranked lower than 1?
CREATE TABLE table_54559 ( "Rank" real, "Name" text, "Nation" text, "Points" real, "Places" real )
SELECT MIN("Places") FROM table_54559 WHERE "Name" = 'sherri baier / robin cowan' AND "Rank" < '1'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 2128, 3390, 41, 96, 22557, 121, 490, 6, 96, 23954, 121, 1499, 6, 96, 567, 257, 121, 1499, 6, 96, 22512, 7, 121, 490, 6, 96, 345, 11706, 7, 121, 490, 3, 61, 3, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 345, 11706, 7, 8512, 21680, 953, 834, 755, 2128, 3390, 549, 17444, 427, 96, 23954, 121, 3274, 3, 31, 7, 107, 21301, 12302, 52, 3, 87, 3, 5840, 77, 9321, 152, 31, 3430, 96, 22557, 121, 3, 2, ...
what is the total number of tackles when fumr is 0, totaltk is 54 and yards is less than 0?
CREATE TABLE table_54608 ( "Player" text, "Tackles" real, "Asst." real, "TotalTK" real, "Sack" real, "Yards" real, "FumR" real )
SELECT COUNT("Tackles") FROM table_54608 WHERE "FumR" = '0' AND "TotalTK" = '54' AND "Yards" < '0'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 4448, 4018, 41, 96, 15800, 49, 121, 1499, 6, 96, 382, 4365, 965, 121, 490, 6, 96, 188, 7, 7, 17, 535, 490, 6, 96, 3696, 1947, 22110, 121, 490, 6, 96, 134, 4365, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 382, 4365, 965, 8512, 21680, 953, 834, 755, 4448, 4018, 549, 17444, 427, 96, 371, 440, 448, 121, 3274, 3, 31, 632, 31, 3430, 96, 3696, 1947, 22110, 121, 3274, 3, 31, 5062, 31, 3430, 96, 476,...
screening hemoglobin < 10 g / dl; leukocytes < 3
CREATE TABLE table_train_169 ( "id" int, "leukocytes" int, "hemoglobin_a1c_hba1c" float, "urine_albumin_excretion" int, "estimated_glomerular_filtration_rate_egfr" int, "glucola_beverage_gct" int, "age" float, "NOUSE" float )
SELECT * FROM table_train_169 WHERE hemoglobin_a1c_hba1c < 10 OR leukocytes < 3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9719, 834, 27096, 41, 96, 23, 26, 121, 16, 17, 6, 96, 109, 1598, 24339, 7, 121, 16, 17, 6, 96, 6015, 32, 14063, 77, 834, 9, 536, 75, 834, 107, 115, 9, 536, 75, 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, 1429, 21680, 953, 834, 9719, 834, 27096, 549, 17444, 427, 24731, 14063, 77, 834, 9, 536, 75, 834, 107, 115, 9, 536, 75, 3, 2, 335, 4674, 90, 1598, 24339, 7, 3, 2, 220, 1, -100, -100, -100, -100, -100, -100, -100...
What is the highest Current Branch Opened, when Neighborhood is W. Portland Park?
CREATE TABLE table_name_79 ( current_branch_opened INTEGER, neighborhood VARCHAR )
SELECT MAX(current_branch_opened) FROM table_name_79 WHERE neighborhood = "w. portland park"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 750, 834, 1939, 5457, 834, 26940, 3, 21342, 17966, 6, 5353, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2030, 12892, 14009, 2384,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 14907, 834, 1939, 5457, 834, 26940, 61, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 5353, 3274, 96, 210, 5, 2147, 40, 232, 2447, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
give me the number of patients whose ethnicity is asian and year of birth is less than 2107?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text,...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "ASIAN" AND demographic.dob_year < "2107"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 15, 189, 2532, 485, 3274, 96, 3291, 21758, 121, 3430, 14798, 5, 26, 32, 115, 834, 1201, 3, 2, ...
provide the number of patients whose death status is 0 and admission location is emergency room admit?
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 WHERE demographic.expire_flag = "0" AND demographic.admission_location = "EMERGENCY ROOM ADMIT"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 18730, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 994, 2388, 15, 834, 89, 5430, 3274, 96, 632, 121, 3430, 14798, 5, 9, 26, 5451, 834, 14836, 3274,...
Which network broadcasted the cup after 2011?
CREATE TABLE table_name_12 (network VARCHAR, year INTEGER)
SELECT network FROM table_name_12 WHERE year > 2011
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 1582, 1981, 584, 4280, 28027, 6, 215, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 4073, 1229, 6878, 15, 26, 8, 4119, 227, 2722, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1229, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 215, 2490, 2722, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was Olga Govortsova's outcome when she played on a grass surface?
CREATE TABLE table_71987 ( "Outcome" text, "Date" text, "Surface" text, "Partner" text, "Opponents" text, "Score" text )
SELECT "Outcome" FROM table_71987 WHERE "Surface" = 'grass'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 2294, 4225, 41, 96, 15767, 287, 15, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 134, 450, 4861, 121, 1499, 6, 96, 13725, 687, 121, 1499, 6, 96, 667, 102, 9977, 7...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 15767, 287, 15, 121, 21680, 953, 834, 940, 2294, 4225, 549, 17444, 427, 96, 134, 450, 4861, 121, 3274, 3, 31, 16446, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What are the prices of wines produced before the year of 2010?
CREATE TABLE WINE ( Price VARCHAR, YEAR INTEGER )
SELECT Price FROM WINE WHERE YEAR < 2010
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 549, 9730, 41, 5312, 584, 4280, 28027, 6, 30431, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 8, 1596, 13, 10992, 2546, 274, 8, 215, 13, 2735, 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, 5312, 21680, 549, 9730, 549, 17444, 427, 30431, 3, 2, 2735, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the G. Hager of E. Greenberg of 266 (14%)?
CREATE TABLE table_name_49 (g_hager VARCHAR, e_greenberg VARCHAR)
SELECT g_hager FROM table_name_49 WHERE e_greenberg = "266 (14%)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 122, 834, 107, 9754, 584, 4280, 28027, 6, 3, 15, 834, 9423, 2235, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 350, 5, 19905, 49, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 122, 834, 107, 9754, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 3, 15, 834, 9423, 2235, 3274, 96, 357, 3539, 41, 2534, 6210, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
which team was the previous winner before ballyroan abbey in 2008 ?
CREATE TABLE table_204_772 ( id number, "team" text, "county" text, "wins" number, "years won" number )
SELECT "team" FROM table_204_772 WHERE "years won" < 2008 ORDER BY "years won" DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 4013, 357, 41, 3, 23, 26, 381, 6, 96, 11650, 121, 1499, 6, 96, 13362, 63, 121, 1499, 6, 96, 3757, 7, 121, 381, 6, 96, 1201, 7, 751, 121, 381, 3, 61, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 11650, 121, 21680, 953, 834, 26363, 834, 4013, 357, 549, 17444, 427, 96, 1201, 7, 751, 121, 3, 2, 2628, 4674, 11300, 272, 476, 96, 1201, 7, 751, 121, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, -100, -1...
Which Performer 2 has an Episode of 5?
CREATE TABLE table_33900 ( "Date" text, "Episode" real, "Performer 1" text, "Performer 2" text, "Performer 3" text, "Performer 4" text )
SELECT "Performer 2" FROM table_33900 WHERE "Episode" = '5'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4201, 7015, 41, 96, 308, 342, 121, 1499, 6, 96, 427, 102, 159, 32, 221, 121, 490, 6, 96, 12988, 2032, 49, 209, 121, 1499, 6, 96, 12988, 2032, 49, 204, 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, 12988, 2032, 49, 204, 121, 21680, 953, 834, 4201, 7015, 549, 17444, 427, 96, 427, 102, 159, 32, 221, 121, 3274, 3, 31, 755, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Virtue has a (vice) of lust?
CREATE TABLE table_36359 ( "Virtue" text, "Latin" text, "Gloss" text, "(Vice)" text, "(Latin)" text )
SELECT "Virtue" FROM table_36359 WHERE "(Vice)" = 'lust'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3420, 519, 3390, 41, 96, 21031, 17, 76, 15, 121, 1499, 6, 96, 3612, 17, 77, 121, 1499, 6, 96, 517, 2298, 7, 121, 1499, 6, 96, 599, 553, 867, 61, 121, 1499, 6, 96, 599...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 21031, 17, 76, 15, 121, 21680, 953, 834, 3420, 519, 3390, 549, 17444, 427, 96, 599, 553, 867, 61, 121, 3274, 3, 31, 10008, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the 2nd Party, when the 1st Member was John Hodgetts-Foley, and the 2nd Member was Hon. Frederick Gough-Calthorpe?
CREATE TABLE table_80171 ( "Election" text, "1st Member" text, "1st Party" text, "2nd Member" text, "2nd Party" text )
SELECT "2nd Party" FROM table_80171 WHERE "1st Member" = 'john hodgetts-foley' AND "2nd Member" = 'hon. frederick gough-calthorpe'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2079, 2517, 536, 41, 96, 427, 12252, 121, 1499, 6, 96, 536, 7, 17, 8541, 121, 1499, 6, 96, 536, 7, 17, 3450, 121, 1499, 6, 96, 357, 727, 8541, 121, 1499, 6, 96, 357, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 357, 727, 3450, 121, 21680, 953, 834, 2079, 2517, 536, 549, 17444, 427, 96, 536, 7, 17, 8541, 121, 3274, 3, 31, 27341, 3534, 26, 2782, 17, 7, 18, 89, 32, 1306, 31, 3430, 96, 357, 727, 8541, 121, 3274, 3, 3...