NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
What was the minor version released on April 16, 2008?
CREATE TABLE table_26705 ( "Major version" text, "Minor version" text, "WebKit version" text, "Operating System" text, "Release date" text, "Features" text )
SELECT "Minor version" FROM table_26705 WHERE "Release date" = 'April 16, 2008'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3708, 3076, 41, 96, 329, 9, 12775, 988, 121, 1499, 6, 96, 12858, 127, 988, 121, 1499, 6, 96, 15805, 439, 155, 988, 121, 1499, 6, 96, 667, 883, 1014, 2149, 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, 12858, 127, 988, 121, 21680, 953, 834, 357, 3708, 3076, 549, 17444, 427, 96, 1649, 40, 14608, 833, 121, 3274, 3, 31, 23323, 11940, 2628, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the social democrat released on October 10, 1999?
CREATE TABLE table_name_94 (social_democratic VARCHAR, date_released VARCHAR)
SELECT social_democratic FROM table_name_94 WHERE date_released = "october 10, 1999"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 15745, 834, 23319, 447, 584, 4280, 28027, 6, 833, 834, 21019, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 569, 3, 23319, 1883, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 569, 834, 23319, 447, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 833, 834, 21019, 26, 3274, 96, 32, 75, 235, 1152, 10372, 5247, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the finish in 1953?
CREATE TABLE table_66837 ( "Year" text, "Start" text, "Qual" text, "Rank" text, "Finish" text, "Laps" real )
SELECT "Finish" FROM table_66837 WHERE "Year" = '1953'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3539, 927, 4118, 41, 96, 476, 2741, 121, 1499, 6, 96, 7681, 17, 121, 1499, 6, 96, 5991, 138, 121, 1499, 6, 96, 22557, 121, 1499, 6, 96, 371, 77, 1273, 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, 371, 77, 1273, 121, 21680, 953, 834, 3539, 927, 4118, 549, 17444, 427, 96, 476, 2741, 121, 3274, 3, 31, 2294, 4867, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the average Top-10 when there were 17 cuts made with less than 0 wins?
CREATE TABLE table_40562 ( "Tournament" text, "Wins" real, "Top-5" real, "Top-10" real, "Top-25" real, "Events" real, "Cuts made" real )
SELECT AVG("Top-10") FROM table_40562 WHERE "Cuts made" = '17' AND "Wins" < '0'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2445, 4834, 357, 41, 96, 382, 1211, 20205, 17, 121, 1499, 6, 96, 18455, 7, 121, 490, 6, 96, 22481, 18, 17395, 490, 6, 96, 22481, 4536, 121, 490, 6, 96, 22481, 14855, 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, 71, 17217, 599, 121, 22481, 4536, 8512, 21680, 953, 834, 2445, 4834, 357, 549, 17444, 427, 96, 15784, 17, 7, 263, 121, 3274, 3, 31, 2517, 31, 3430, 96, 18455, 7, 121, 3, 2, 3, 31, 632, 31, 1, -100, -100, -100, ...
What is the minimum price of the rooms for each different decor? Show me a bar chart!, rank by the X in ascending.
CREATE TABLE Rooms ( RoomId TEXT, roomName TEXT, beds INTEGER, bedType TEXT, maxOccupancy INTEGER, basePrice INTEGER, decor TEXT ) CREATE TABLE Reservations ( Code INTEGER, Room TEXT, CheckIn TEXT, CheckOut TEXT, Rate REAL, LastName TEXT, FirstName TEXT, Adults INTEGER, Kids INTEGER )
SELECT decor, MIN(basePrice) FROM Rooms GROUP BY decor ORDER BY decor
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4181, 7, 41, 4181, 196, 26, 3, 3463, 4, 382, 6, 562, 23954, 3, 3463, 4, 382, 6, 8326, 3, 21342, 17966, 6, 1953, 25160, 3, 3463, 4, 382, 6, 9858, 667, 75, 4658, 6833, 3, 21342, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4469, 6, 3, 17684, 599, 10925, 345, 4920, 61, 21680, 4181, 7, 350, 4630, 6880, 272, 476, 4469, 4674, 11300, 272, 476, 4469, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many data were given on 2010/2011 in Brazil?
CREATE TABLE table_27712_2 (country VARCHAR)
SELECT COUNT(2010 AS _11) FROM table_27712_2 WHERE country = "Brazil"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4013, 2122, 834, 357, 41, 17529, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 331, 130, 787, 30, 2735, 87, 13907, 16, 9278, 58, 1, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 14926, 6157, 3, 834, 2596, 61, 21680, 953, 834, 357, 4013, 2122, 834, 357, 549, 17444, 427, 684, 3274, 96, 279, 7275, 173, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What network has an aspect of 4:3 and a PSIP Short Name of qvc?
CREATE TABLE table_name_80 (network VARCHAR, aspect VARCHAR, psip_short_name VARCHAR)
SELECT network FROM table_name_80 WHERE aspect = "4:3" AND psip_short_name = "qvc"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 1582, 1981, 584, 4280, 28027, 6, 2663, 584, 4280, 28027, 6, 3, 102, 7, 23, 102, 834, 7, 14184, 834, 4350, 584, 4280, 28027, 61, 3, 32102, 32103, 32101,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1229, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 2663, 3274, 96, 591, 10, 519, 121, 3430, 3, 102, 7, 23, 102, 834, 7, 14184, 834, 4350, 3274, 96, 1824, 208, 75, 121, 1, -100, -100, -100, -100, -100, -100, ...
What was the passing result for the measure with a description of bus and truck operating license bill?
CREATE TABLE table_27922 ( "meas. num" real, "passed" text, "YES votes" real, "NO votes" real, "% YES" text, "Const. Amd.?" text, "type" text, "description" text )
SELECT "passed" FROM table_27922 WHERE "description" = 'Bus and Truck Operating License Bill'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 4508, 357, 41, 96, 526, 9, 7, 5, 3, 5525, 121, 490, 6, 96, 3968, 15, 26, 121, 1499, 6, 96, 476, 3205, 11839, 121, 490, 6, 96, 7400, 11839, 121, 490, 6, 96, 1454...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3968, 15, 26, 121, 21680, 953, 834, 2555, 4508, 357, 549, 17444, 427, 96, 221, 11830, 121, 3274, 3, 31, 7793, 7, 11, 14049, 21606, 16452, 3259, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Date has an Opponent of manchester united, and a Venue A?
CREATE TABLE table_55559 ( "Date" text, "Opponent" text, "Venue" text, "Result" text, "Attendance" real )
SELECT "Date" FROM table_55559 WHERE "Opponent" = 'manchester united' AND "Venue" = 'a'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 28803, 3390, 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...
[ 3, 23143, 14196, 96, 308, 342, 121, 21680, 953, 834, 28803, 3390, 549, 17444, 427, 96, 667, 102, 9977, 121, 3274, 3, 31, 348, 13263, 18279, 31, 3430, 96, 553, 35, 76, 15, 121, 3274, 3, 31, 9, 31, 1, -100, -100, -100, -100, -100,...
Name the champion for 3rd place tbc and runner-up tbc
CREATE TABLE table_69390 ( "Year" text, "Champion" text, "Runner-Up" text, "3rd Place" text, "Location" text )
SELECT "Champion" FROM table_69390 WHERE "3rd Place" = 'tbc' AND "Runner-Up" = 'tbc'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3951, 519, 2394, 41, 96, 476, 2741, 121, 1499, 6, 96, 254, 1483, 12364, 121, 1499, 6, 96, 23572, 18, 11161, 121, 1499, 6, 96, 519, 52, 26, 3399, 121, 1499, 6, 96, 434, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 254, 1483, 12364, 121, 21680, 953, 834, 3951, 519, 2394, 549, 17444, 427, 96, 519, 52, 26, 3399, 121, 3274, 3, 31, 17, 115, 75, 31, 3430, 96, 23572, 18, 11161, 121, 3274, 3, 31, 17, 115, 75, 31, 1, -100, -...
Just show the id and name of each editor using a bar chart.
CREATE TABLE journal_committee ( Editor_ID int, Journal_ID int, Work_Type text ) CREATE TABLE journal ( Journal_ID int, Date text, Theme text, Sales int ) CREATE TABLE editor ( Editor_ID int, Name text, Age real )
SELECT T1.Name, T1.Editor_ID FROM editor AS T1 JOIN journal_committee AS T2 ON T1.Editor_ID = T2.Editor_ID
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6378, 834, 287, 1538, 17, 15, 15, 41, 11953, 834, 4309, 16, 17, 6, 3559, 834, 4309, 16, 17, 6, 3118, 834, 25160, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 5411, 23954, 6, 332, 5411, 26527, 127, 834, 4309, 21680, 6005, 6157, 332, 536, 3, 15355, 3162, 6378, 834, 287, 1538, 17, 15, 15, 6157, 332, 357, 9191, 332, 5411, 26527, 127, 834, 4309, 3274, 332, 4416, 26527, 1...
What is the number of Years at Club for the player who has had more games than 28, more Goals than 225, and his Debut year was after 1950?
CREATE TABLE table_name_77 (years_at_club VARCHAR, debut_year VARCHAR, games VARCHAR, goals VARCHAR)
SELECT years_at_club FROM table_name_77 WHERE games > 28 AND goals > 225 AND debut_year > 1950
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 1201, 7, 834, 144, 834, 13442, 584, 4280, 28027, 6, 5695, 834, 1201, 584, 4280, 28027, 6, 1031, 584, 4280, 28027, 6, 1766, 584, 4280, 28027, 61, 3, 321...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 203, 834, 144, 834, 13442, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 1031, 2490, 2059, 3430, 1766, 2490, 3, 20489, 3430, 5695, 834, 1201, 2490, 10247, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Give me a bar chart showing the number of films for each director.
CREATE TABLE schedule ( Cinema_ID int, Film_ID int, Date text, Show_times_per_day int, Price float ) CREATE TABLE film ( Film_ID int, Rank_in_series int, Number_in_season int, Title text, Directed_by text, Original_air_date text, Production_code text ) CREATE TABLE cinema ( Cinema_ID int, Name text, Openning_year int, Capacity int, Location text )
SELECT Directed_by, COUNT(Directed_by) FROM film GROUP BY Directed_by
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2023, 41, 17544, 834, 4309, 16, 17, 6, 3417, 834, 4309, 16, 17, 6, 7678, 1499, 6, 3111, 834, 715, 7, 834, 883, 834, 1135, 16, 17, 6, 5312, 3, 12660, 3, 61, 3, 32102, 32103, 32102...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 7143, 15, 26, 834, 969, 6, 2847, 17161, 599, 23620, 15, 26, 834, 969, 61, 21680, 814, 350, 4630, 6880, 272, 476, 7143, 15, 26, 834, 969, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who is the pregame host when the pregame analysts is Dave Campbell and the year is 2001?
CREATE TABLE table_2941848_10 ( pregame_hosts VARCHAR, pregame_analysts VARCHAR, year VARCHAR )
SELECT pregame_hosts FROM table_2941848_10 WHERE pregame_analysts = "Dave Campbell" AND year = 2001
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4240, 2606, 3707, 834, 1714, 41, 554, 7261, 834, 12675, 7, 584, 4280, 28027, 6, 554, 7261, 834, 152, 9, 120, 7, 17, 7, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 554, 7261, 834, 12675, 7, 21680, 953, 834, 357, 4240, 2606, 3707, 834, 1714, 549, 17444, 427, 554, 7261, 834, 152, 9, 120, 7, 17, 7, 3274, 96, 308, 9, 162, 17034, 121, 3430, 215, 3274, 4402, 1, -100, -100, -100, ...
College of villanova has what round?
CREATE TABLE table_name_65 ( round VARCHAR, college VARCHAR )
SELECT round FROM table_name_65 WHERE college = "villanova"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 1751, 584, 4280, 28027, 6, 1900, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 1888, 13, 12159, 14979, 65, 125, 1751, 58, 1, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1751, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 1900, 3274, 96, 24887, 14979, 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 Name (Birth-Death), when Left Office is 7 October 1958?
CREATE TABLE table_9738 ( "Name (Birth\u2013death)" text, "Took office" text, "Left office" text, "Political party" text, "Note(s)" text )
SELECT "Name (Birth\u2013death)" FROM table_9738 WHERE "Left office" = '7 october 1958'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4327, 3747, 41, 96, 23954, 41, 279, 23, 52, 189, 2, 76, 11138, 221, 9, 189, 61, 121, 1499, 6, 96, 3696, 1825, 828, 121, 1499, 6, 96, 2796, 89, 17, 828, 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, 23954, 41, 279, 23, 52, 189, 2, 76, 11138, 221, 9, 189, 61, 121, 21680, 953, 834, 4327, 3747, 549, 17444, 427, 96, 2796, 89, 17, 828, 121, 3274, 3, 31, 940, 3, 32, 75, 235, 1152, 22306, 31, 1, -100, -100, ...
Which Reigon has a Village of Chassagne-Montrachet?
CREATE TABLE table_name_82 (region VARCHAR, village VARCHAR)
SELECT region FROM table_name_82 WHERE village = "chassagne-montrachet"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 18145, 584, 4280, 28027, 6, 3309, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 419, 23, 5307, 65, 3, 9, 7305, 13, 3643, 7, 7, 11624, 18, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1719, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 3309, 3274, 96, 3441, 7, 7, 11624, 18, 4662, 21136, 15, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Cuts made is the highest one that has a Top-5 of 1, and a Top-25 larger than 16?
CREATE TABLE table_name_89 ( cuts_made INTEGER, top_5 VARCHAR, top_25 VARCHAR )
SELECT MAX(cuts_made) FROM table_name_89 WHERE top_5 = 1 AND top_25 > 16
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 8620, 834, 4725, 3, 21342, 17966, 6, 420, 834, 755, 584, 4280, 28027, 6, 420, 834, 1828, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3044, 7, 834, 4725, 61, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 420, 834, 755, 3274, 209, 3430, 420, 834, 1828, 2490, 898, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who was the opposing team for game 53?
CREATE TABLE table_72458 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Record" text )
SELECT "Team" FROM table_72458 WHERE "Game" = '53'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 2266, 3449, 41, 96, 23055, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 21417, 979, 121, 1499, 6, 96, 21417, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 18699, 121, 21680, 953, 834, 940, 2266, 3449, 549, 17444, 427, 96, 23055, 121, 3274, 3, 31, 4867, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was event 2 when event 1 was Atlasphere?
CREATE TABLE table_21435 ( "Episode Number" real, "Air Date" text, "Event 1" text, "Event 2" text, "Event 3" text, "Event 4" text )
SELECT "Event 2" FROM table_21435 WHERE "Event 1" = 'Atlasphere'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27357, 2469, 41, 96, 427, 102, 159, 32, 221, 7720, 121, 490, 6, 96, 20162, 7678, 121, 1499, 6, 96, 427, 2169, 209, 121, 1499, 6, 96, 427, 2169, 204, 121, 1499, 6, 96, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 427, 2169, 204, 121, 21680, 953, 834, 27357, 2469, 549, 17444, 427, 96, 427, 2169, 209, 121, 3274, 3, 31, 188, 17, 521, 9475, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many episode were written by Brett Conrad?
CREATE TABLE table_25740548_2 ( title VARCHAR, written_by VARCHAR )
SELECT COUNT(title) FROM table_25740548_2 WHERE written_by = "Brett Conrad"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 4581, 3076, 3707, 834, 357, 41, 2233, 584, 4280, 28027, 6, 1545, 834, 969, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 5640, 130, 1545, 57, 21203,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 21869, 61, 21680, 953, 834, 1828, 4581, 3076, 3707, 834, 357, 549, 17444, 427, 1545, 834, 969, 3274, 96, 279, 60, 17, 17, 1193, 5672, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Team has a Year smaller than 2007, and a Class of gts?
CREATE TABLE table_40711 ( "Year" real, "Team" text, "Co-Drivers" text, "Class" text, "Laps" real, "Pos." text, "Class Pos." text )
SELECT "Team" FROM table_40711 WHERE "Year" < '2007' AND "Class" = 'gts'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2445, 4450, 536, 41, 96, 476, 2741, 121, 490, 6, 96, 18699, 121, 1499, 6, 96, 3881, 18, 20982, 52, 7, 121, 1499, 6, 96, 21486, 121, 1499, 6, 96, 3612, 102, 7, 121, 490,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 18699, 121, 21680, 953, 834, 2445, 4450, 536, 549, 17444, 427, 96, 476, 2741, 121, 3, 2, 3, 31, 20615, 31, 3430, 96, 21486, 121, 3274, 3, 31, 122, 17, 7, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100...
Which province had a liberal party member on December 31, 2006?
CREATE TABLE table_name_38 ( province VARCHAR, party VARCHAR, date VARCHAR )
SELECT province FROM table_name_38 WHERE party = "liberal" AND date = "december 31, 2006"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 7985, 584, 4280, 28027, 6, 1088, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 7985, 141, 3, 9, 10215, 1088, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7985, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 1088, 3274, 96, 10661, 138, 121, 3430, 833, 3274, 96, 221, 75, 18247, 12074, 3581, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who was the 2nd member of the parliament that was assembled on 3 november 1529?
CREATE TABLE table_62448 ( "Elected" text, "Assembled" text, "Dissolved" text, "1st member" text, "2nd member" text )
SELECT "2nd member" FROM table_62448 WHERE "Assembled" = '3 november 1529'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 948, 2266, 3707, 41, 96, 21543, 15, 26, 121, 1499, 6, 96, 188, 7, 7, 8312, 15, 26, 121, 1499, 6, 96, 308, 159, 6065, 15, 26, 121, 1499, 6, 96, 536, 7, 17, 1144, 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, 357, 727, 1144, 121, 21680, 953, 834, 948, 2266, 3707, 549, 17444, 427, 96, 188, 7, 7, 8312, 15, 26, 121, 3274, 3, 31, 519, 3, 5326, 18247, 627, 3166, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
During which Season did the may 11, 2002 event take place?
CREATE TABLE table_54568 ( "Discipline" text, "Season" real, "Performance" text, "Place" text, "Date" text )
SELECT "Season" FROM table_54568 WHERE "Date" = 'may 11, 2002'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 2128, 3651, 41, 96, 15683, 23, 10574, 15, 121, 1499, 6, 96, 134, 15, 9, 739, 121, 490, 6, 96, 12988, 2032, 663, 121, 1499, 6, 96, 345, 11706, 121, 1499, 6, 96, 308...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 15, 9, 739, 121, 21680, 953, 834, 755, 2128, 3651, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 13726, 9694, 4407, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When does week 11 start?
CREATE TABLE table_32555 ( "Week" text, "Date" text, "Location" text, "Opponent" text, "Result" text )
SELECT "Date" FROM table_32555 WHERE "Week" = '11'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2668, 28803, 41, 96, 518, 10266, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 434, 32, 75, 257, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 20119, 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, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 96, 308, 342, 121, 21680, 953, 834, 2668, 28803, 549, 17444, 427, 96, 518, 10266, 121, 3274, 3, 31, 2596, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the points against for november 14
CREATE TABLE table_15607589_2 (points_against VARCHAR, date VARCHAR)
SELECT points_against FROM table_15607589_2 WHERE date = "November 14"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1808, 3328, 3072, 3914, 834, 357, 41, 2700, 7, 834, 9, 16720, 7, 17, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 979, 581, 21, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 979, 834, 9, 16720, 7, 17, 21680, 953, 834, 1808, 3328, 3072, 3914, 834, 357, 549, 17444, 427, 833, 3274, 96, 28635, 968, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the English name of g sh xi n?
CREATE TABLE table_2847477_2 ( english_name VARCHAR, pinyin VARCHAR )
SELECT english_name FROM table_2847477_2 WHERE pinyin = "Gùshǐ Xiàn"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4177, 591, 4013, 834, 357, 41, 22269, 834, 4350, 584, 4280, 28027, 6, 4522, 63, 77, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1566, 564, 13,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 22269, 834, 4350, 21680, 953, 834, 2577, 4177, 591, 4013, 834, 357, 549, 17444, 427, 4522, 63, 77, 3274, 96, 517, 23063, 7, 107, 2, 3, 4, 23, 85, 29, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Weight of the Senior Player with a Height of 6 10?
CREATE TABLE table_name_78 ( weight INTEGER, year VARCHAR, height VARCHAR )
SELECT SUM(weight) FROM table_name_78 WHERE year = "senior" AND height = "6–10"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 1293, 3, 21342, 17966, 6, 215, 584, 4280, 28027, 6, 3902, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 14230, 13, 8, 5523, 12387...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 9378, 61, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 215, 3274, 96, 7, 35, 23, 127, 121, 3430, 3902, 3274, 96, 948, 104, 1714, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Nationality has a Player of rudy poeschek?
CREATE TABLE table_name_51 ( nationality VARCHAR, player VARCHAR )
SELECT nationality FROM table_name_51 WHERE player = "rudy poeschek"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 1157, 485, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 868, 485, 65, 3, 9, 12387, 13, 3, 17237, 63, 1977, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1157, 485, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 1959, 3274, 96, 17237, 63, 1977, 15, 3992, 157, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the Score of 2007 afc asian cup qualification with a Result of 8 0?
CREATE TABLE table_name_81 ( score VARCHAR, competition VARCHAR, result VARCHAR )
SELECT score FROM table_name_81 WHERE competition = "2007 afc asian cup qualification" AND result = "8–0"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 2604, 584, 4280, 28027, 6, 2259, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 17763, 13, 4101, 3, 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, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 2259, 3274, 96, 20615, 3, 9, 89, 75, 3, 9, 10488, 4119, 15513, 121, 3430, 741, 3274, 96, 927, 104, 632, 121, 1, -100, -100, -100, -100, -100, -100, -100, -1...
What is the average home team score for Footscray?
CREATE TABLE table_name_36 (home_team VARCHAR)
SELECT home_team AS score FROM table_name_36 WHERE home_team = "footscray"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 5515, 834, 11650, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1348, 234, 372, 2604, 21, 15213, 7, 2935, 63, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 234, 834, 11650, 3274, 96, 6259, 7, 2935, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
what is the nation when the world rank is 6 and the birth date is 1971-07-31?
CREATE TABLE table_65379 ( "Nation" text, "Birth date" text, "Height (m)" text, "Weight (kg)" text, "World Rank" text )
SELECT "Nation" FROM table_65379 WHERE "World Rank" = '6' AND "Birth date" = '1971-07-31'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4122, 519, 4440, 41, 96, 567, 257, 121, 1499, 6, 96, 279, 23, 52, 189, 833, 121, 1499, 6, 96, 3845, 2632, 41, 51, 61, 121, 1499, 6, 96, 1326, 2632, 41, 8711, 61, 121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 567, 257, 121, 21680, 953, 834, 4122, 519, 4440, 549, 17444, 427, 96, 17954, 3, 22557, 121, 3274, 3, 31, 948, 31, 3430, 96, 279, 23, 52, 189, 833, 121, 3274, 3, 31, 27181, 18930, 940, 18, 3341, 31, 1, -100, ...
What's the Result for the Competition of 1994 FIFA World Cup Qualification, with the Date of May 15, 1993?
CREATE TABLE table_name_14 (result VARCHAR, competition VARCHAR, date VARCHAR)
SELECT result FROM table_name_14 WHERE competition = "1994 fifa world cup qualification" AND date = "may 15, 1993"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 2259, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, 3, 20119, 21,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 2259, 3274, 96, 2294, 4240, 361, 89, 9, 296, 4119, 15513, 121, 3430, 833, 3274, 96, 13726, 10725, 8388, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the highest number of bills cosponsored associated with under 24 bills sponsored and under 16 amendments sponsored?
CREATE TABLE table_name_22 (all_bills_cosponsored INTEGER, all_bills_sponsored VARCHAR, all_amendments_sponsored VARCHAR)
SELECT MAX(all_bills_cosponsored) FROM table_name_22 WHERE all_bills_sponsored < 24 AND all_amendments_sponsored < 16
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 1748, 834, 3727, 40, 7, 834, 509, 27959, 3, 21342, 17966, 6, 66, 834, 3727, 40, 7, 834, 27959, 584, 4280, 28027, 6, 66, 834, 265, 989, 4128, 834, 279...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1748, 834, 3727, 40, 7, 834, 509, 27959, 61, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 66, 834, 3727, 40, 7, 834, 27959, 3, 2, 997, 3430, 66, 834, 265, 989, 4128, 834, 27959, 3, 2, 898, ...
What was the result of the election when someone was first elected in 1960?
CREATE TABLE table_1341640_14 ( result VARCHAR, first_elected VARCHAR )
SELECT result FROM table_1341640_14 WHERE first_elected = 1960
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23747, 2938, 2445, 834, 2534, 41, 741, 584, 4280, 28027, 6, 166, 834, 19971, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 741, 13, 8, 4356, 116, 841,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 23747, 2938, 2445, 834, 2534, 549, 17444, 427, 166, 834, 19971, 3274, 8754, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What are Utah's high points?
CREATE TABLE table_name_49 (high_points VARCHAR, team VARCHAR)
SELECT high_points FROM table_name_49 WHERE team = "utah"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 6739, 834, 2700, 7, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 12339, 31, 7, 306, 979, 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, 306, 834, 2700, 7, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 372, 3274, 96, 76, 17, 9, 107, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
what year was the first prion characterized ?
CREATE TABLE table_203_589 ( id number, "protein" text, "natural host" text, "normal function" text, "prion state" text, "prion phenotype" text, "year identified" number )
SELECT MIN("year identified") FROM table_203_589
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 755, 3914, 41, 3, 23, 26, 381, 6, 96, 23083, 121, 1499, 6, 96, 14884, 2290, 121, 1499, 6, 96, 12110, 1681, 121, 1499, 6, 96, 2246, 106, 538, 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, 3, 17684, 599, 121, 1201, 4313, 8512, 21680, 953, 834, 23330, 834, 755, 3914, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For those records from the products and each product's manufacturer, show me about the distribution of founder and the sum of revenue , and group by attribute founder in a bar chart, and display y-axis in asc order please.
CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL ) CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER )
SELECT Founder, SUM(Revenue) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY SUM(Revenue)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 15248, 7, 41, 3636, 3, 21342, 17966, 6, 5570, 584, 4280, 28027, 599, 25502, 201, 3642, 19973, 584, 4280, 28027, 599, 25502, 201, 3, 19145, 584, 4280, 28027, 599, 25502, 201, 19764, 17833...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 19145, 6, 180, 6122, 599, 1649, 15098, 61, 21680, 7554, 6157, 332, 536, 3, 15355, 3162, 15248, 7, 6157, 332, 357, 9191, 332, 5411, 7296, 76, 8717, 450, 49, 3274, 332, 4416, 22737, 350, 4630, 6880, 272, 476, 3, ...
How much does the player from Southern California weight?
CREATE TABLE table_20861261_4 (weight VARCHAR, college VARCHAR)
SELECT weight FROM table_20861261_4 WHERE college = "Southern California"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1755, 3840, 2122, 4241, 834, 591, 41, 9378, 584, 4280, 28027, 6, 1900, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 231, 405, 8, 1959, 45, 5193, 1826, 1293, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1293, 21680, 953, 834, 1755, 3840, 2122, 4241, 834, 591, 549, 17444, 427, 1900, 3274, 96, 22081, 49, 29, 1826, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
how many patients whose discharge location is rehab/distinct part hosp and procedure icd9 code is 3491?
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, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "REHAB/DISTINCT PART HOSP" AND procedures.icd9_code = "3491"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4293, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
count the number of patients whose diagnosis short title is hx surgery to organs nec and drug route is iv drip.
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Hx surgery to organs NEC" AND prescriptions.route = "IV DRIP"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14798, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 564, 1499, 6, 2774, 1947, 834, 8547, 302, 1499, 6, 1246, 1499, 6, 103, 115, 1499, 6, 7285, 1499, 6, 1612, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 3...
What is Home Captain, when Date is 23,24,26,27,28,29 Feb, 1 Mar 1912?
CREATE TABLE table_name_48 ( home_captain VARCHAR, date VARCHAR )
SELECT home_captain FROM table_name_48 WHERE date = "23,24,26,27,28,29 feb, 1 mar 1912"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 234, 834, 4010, 17, 9, 77, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 1210, 12202, 6, 116, 7678, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 4010, 17, 9, 77, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 833, 3274, 96, 2773, 6, 2266, 6, 2688, 6, 2555, 6, 2577, 6, 3166, 3, 89, 15, 115, 6, 209, 3157, 957, 2122, 121, 1, -100, -100, -100...
what is days of hospital stay and procedure long title of subject id 29541?
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 ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT demographic.days_stay, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "29541"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 14798, 5, 1135, 7, 834, 21545, 6, 4293, 5, 2961, 834, 21869, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444, 427, 14798, 5,...
What was the result with a record of 58–11?
CREATE TABLE table_name_49 (result VARCHAR, record VARCHAR)
SELECT result FROM table_name_49 WHERE record = "58–11"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 741, 28, 3, 9, 1368, 13, 3, 3449, 104, 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, 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, 3647, 549, 17444, 427, 1368, 3274, 96, 3449, 104, 2596, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the least density (per km ) when the area (km ) is more than 129,825 and the rank is 3?
CREATE TABLE table_14251 ( "Rank" text, "Province" text, "Population (2011)" real, "Area (km\u00b2)" real, "Density (per km\u00b2)" real )
SELECT MIN("Density (per km\u00b2)") FROM table_14251 WHERE "Area (km\u00b2)" > '129,825' AND "Rank" = '3'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24978, 5553, 41, 96, 22557, 121, 1499, 6, 96, 3174, 2494, 565, 121, 1499, 6, 96, 27773, 7830, 25163, 121, 490, 6, 96, 188, 864, 41, 5848, 2, 76, 1206, 115, 7318, 121, 490...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 308, 35, 7, 485, 41, 883, 2280, 2, 76, 1206, 115, 7318, 8512, 21680, 953, 834, 24978, 5553, 549, 17444, 427, 96, 188, 864, 41, 5848, 2, 76, 1206, 115, 7318, 121, 2490, 3, 31, 22174, 6, 927, ...
What is the score on 22 january 2008?
CREATE TABLE table_name_88 ( score VARCHAR, date VARCHAR )
SELECT score FROM table_name_88 WHERE date = "22 january 2008"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 2604, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2604, 30, 1630, 3, 7066, 76, 1208, 2628, 58, 1, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 833, 3274, 96, 2884, 3, 7066, 76, 1208, 2628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
what was the size when tom daley appeared
CREATE TABLE table_30955 ( "Episode" text, "First broadcast" text, "Andrew and Georgies guest" text, "Jamie and Johns guest" text, "Scores" text )
SELECT "Episode" FROM table_30955 WHERE "Jamie and Johns guest" = 'Tom Daley'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1458, 3301, 755, 41, 96, 427, 102, 159, 32, 221, 121, 1499, 6, 96, 25171, 6878, 121, 1499, 6, 96, 7175, 60, 210, 11, 20916, 725, 3886, 121, 1499, 6, 96, 683, 9, 2720, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 427, 102, 159, 32, 221, 121, 21680, 953, 834, 1458, 3301, 755, 549, 17444, 427, 96, 683, 9, 2720, 11, 1079, 7, 3886, 121, 3274, 3, 31, 3696, 51, 878, 1306, 31, 1, -100, -100, -100, -100, -100, -100, -100, -1...
Who was pick number 34?
CREATE TABLE table_29836557_2 ( player VARCHAR, pick__number VARCHAR )
SELECT player FROM table_29836557_2 WHERE pick__number = 34
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3916, 10402, 3436, 834, 357, 41, 1959, 584, 4280, 28027, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 1432, 381, 6154...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 357, 3916, 10402, 3436, 834, 357, 549, 17444, 427, 1432, 834, 834, 5525, 1152, 3274, 6154, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the highest number any of the players were picked at?
CREATE TABLE table_21321804_3 (pick__number INTEGER)
SELECT MAX(pick__number) FROM table_21321804_3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2658, 2668, 2606, 6348, 834, 519, 41, 17967, 834, 834, 5525, 1152, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2030, 381, 136, 13, 8, 1508, 130, 4758, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 17967, 834, 834, 5525, 1152, 61, 21680, 953, 834, 2658, 2668, 2606, 6348, 834, 519, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
With a Grid less than 15, and a Time of +52.833, what is the highest number of Laps?
CREATE TABLE table_name_86 ( laps INTEGER, grid VARCHAR, time VARCHAR )
SELECT MAX(laps) FROM table_name_86 WHERE grid < 15 AND time = "+52.833"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 14941, 7, 3, 21342, 17966, 6, 8634, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 438, 3, 9, 23644, 705, 145, 10725,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8478, 7, 61, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 8634, 3, 2, 627, 3430, 97, 3274, 96, 1220, 755, 19419, 4201, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the average points for an engine of ford zetec-r v8?
CREATE TABLE table_name_63 (points INTEGER, engine VARCHAR)
SELECT AVG(points) FROM table_name_63 WHERE engine = "ford zetec-r v8"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 2700, 7, 3, 21342, 17966, 6, 1948, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 8, 1348, 979, 21, 46, 1948, 13, 21, 26, 3, 776, 5822...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 1948, 3274, 96, 2590, 3, 776, 5822, 18, 52, 3, 208, 927, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is Record, when Event is "UFC 64"?
CREATE TABLE table_name_78 (record VARCHAR, event VARCHAR)
SELECT record FROM table_name_78 WHERE event = "ufc 64"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 60, 7621, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 11392, 6, 116, 8042, 19, 96, 18899, 254, 6687, 121, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 605, 3274, 96, 76, 89, 75, 6687, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
when was the first time that patient 010-38092 was prescribed medication since 169 months ago?
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 lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text )
SELECT medication.drugstarttime FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-38092')) AND DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-169 month') ORDER BY medication.drugstarttime LIMIT 1
[ 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, 7757, 5, 26, 13534, 10208, 715, 21680, 7757, 549, 17444, 427, 7757, 5, 10061, 15129, 21545, 23, 26, 3388, 41, 23143, 14196, 1868, 5, 10061, 15129, 21545, 23, 26, 21680, 1868, 549, 17444, 427, 1868, 5, 10061, 15878, 37...
Which Drobo (2nd) has a Drobo S (2nd) of 5?
CREATE TABLE table_11041 ( "Drobo (1st)" text, "Drobo (2nd)" text, "Drobo S" text, "Drobo S (2nd)" text, "Drobo FS" text, "Drobo Mini" text, "Drobo 5D" text )
SELECT "Drobo (2nd)" FROM table_11041 WHERE "Drobo S (2nd)" = '5'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 19277, 4853, 41, 96, 308, 23801, 4077, 7, 17, 61, 121, 1499, 6, 96, 308, 23801, 4743, 727, 61, 121, 1499, 6, 96, 308, 23801, 180, 121, 1499, 6, 96, 308, 23801, 180, 4743,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 23801, 4743, 727, 61, 121, 21680, 953, 834, 19277, 4853, 549, 17444, 427, 96, 308, 23801, 180, 4743, 727, 61, 121, 3274, 3, 31, 755, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
With a Rank of 19, and a Start of 14, what was the finish?
CREATE TABLE table_name_41 ( finish VARCHAR, rank VARCHAR, start VARCHAR )
SELECT finish FROM table_name_41 WHERE rank = "19" AND start = "14"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 1992, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 6, 456, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 438, 3, 9, 3, 22557, 13, 12370, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1992, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 11003, 3274, 96, 2294, 121, 3430, 456, 3274, 96, 2534, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Score has an Opponent of @ buffalo sabres?
CREATE TABLE table_name_13 ( score VARCHAR, opponent VARCHAR )
SELECT score FROM table_name_13 WHERE opponent = "@ buffalo sabres"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 2604, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 17763, 65, 46, 4495, 9977, 13, 3320, 30964, 3, 7, 9, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 15264, 3274, 96, 1741, 30964, 3, 7, 9, 1999, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the attendance at the Kardinia Park game?
CREATE TABLE table_32953 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT "Crowd" FROM table_32953 WHERE "Venue" = 'kardinia park'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2668, 3301, 519, 41, 96, 19040, 372, 121, 1499, 6, 96, 19040, 372, 2604, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 188, 1343, 372, 2604, 121, 1499, 6, 96, 553, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 254, 3623, 26, 121, 21680, 953, 834, 2668, 3301, 519, 549, 17444, 427, 96, 553, 35, 76, 15, 121, 3274, 3, 31, 4031, 2644, 23, 9, 2447, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the date of the game when the Devils had a record of 21 14 3?
CREATE TABLE table_58022 ( "Date" text, "Visitor" text, "Score" text, "Home" text, "Decision" text, "Attendance" real, "Record" text )
SELECT "Date" FROM table_58022 WHERE "Record" = '21–14–3'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 2079, 2884, 41, 96, 308, 342, 121, 1499, 6, 96, 553, 159, 155, 127, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 19040, 121, 1499, 6, 96, 2962, 18901, 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, 342, 121, 21680, 953, 834, 755, 2079, 2884, 549, 17444, 427, 96, 1649, 7621, 121, 3274, 3, 31, 2658, 104, 2534, 104, 519, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the lowest points for 36th rank?
CREATE TABLE table_name_18 ( points INTEGER, rank VARCHAR )
SELECT MIN(points) FROM table_name_18 WHERE rank = "36th"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 979, 3, 21342, 17966, 6, 11003, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 7402, 979, 21, 4475, 189, 11003, 58, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 11003, 3274, 96, 3420, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Give me the comparison about ID over the meter_300 , and I want to list by the bar from low to high.
CREATE TABLE swimmer ( ID int, name text, Nationality text, meter_100 real, meter_200 text, meter_300 text, meter_400 text, meter_500 text, meter_600 text, meter_700 text, Time text ) CREATE TABLE stadium ( ID int, name text, Capacity int, City text, Country text, Opening_year int ) CREATE TABLE event ( ID int, Name text, Stadium_ID int, Year text ) CREATE TABLE record ( ID int, Result text, Swimmer_ID int, Event_ID int )
SELECT meter_300, ID FROM swimmer ORDER BY meter_300
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 27424, 41, 4699, 16, 17, 6, 564, 1499, 6, 868, 485, 1499, 6, 3, 4401, 834, 2915, 490, 6, 3, 4401, 834, 3632, 1499, 6, 3, 4401, 834, 5426, 1499, 6, 3, 4401, 834, 5548, 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, 3, 4401, 834, 5426, 6, 4699, 21680, 27424, 4674, 11300, 272, 476, 3, 4401, 834, 5426, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the best top-10 result when events are fewer than 39, top-5 is 1 and more than 5 cuts are made?
CREATE TABLE table_name_89 (top_10 INTEGER, cuts_made VARCHAR, events VARCHAR, top_5 VARCHAR)
SELECT MAX(top_10) FROM table_name_89 WHERE events < 39 AND top_5 = 1 AND cuts_made > 5
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 2916, 834, 1714, 3, 21342, 17966, 6, 8620, 834, 4725, 584, 4280, 28027, 6, 984, 584, 4280, 28027, 6, 420, 834, 755, 584, 4280, 28027, 61, 3, 32102, 321...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 2916, 834, 16968, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 984, 3, 2, 6352, 3430, 420, 834, 755, 3274, 209, 3430, 8620, 834, 4725, 2490, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100...
Which club has 101 tries for?
CREATE TABLE table_59236 ( "Club" text, "Played" text, "Drawn" text, "Lost" text, "Points for" text, "Points against" text, "Tries for" text, "Tries against" text, "Try bonus" text )
SELECT "Club" FROM table_59236 WHERE "Tries for" = '101'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3390, 357, 3420, 41, 96, 254, 11158, 121, 1499, 6, 96, 15800, 15, 26, 121, 1499, 6, 96, 308, 10936, 29, 121, 1499, 6, 96, 434, 3481, 121, 1499, 6, 96, 22512, 7, 21, 121...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 254, 11158, 121, 21680, 953, 834, 3390, 357, 3420, 549, 17444, 427, 96, 382, 2593, 21, 121, 3274, 3, 31, 19621, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what is the number of world records that were recorded in august ?
CREATE TABLE table_203_102 ( id number, "event" text, "performance" text, "athlete" text, "nation" text, "place" text, "date" text )
SELECT COUNT(*) FROM table_203_102 WHERE "date" = 8
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 14388, 41, 3, 23, 26, 381, 6, 96, 15, 2169, 121, 1499, 6, 96, 18558, 121, 1499, 6, 96, 26170, 15, 121, 1499, 6, 96, 29, 257, 121, 1499, 6, 96, 4687, 121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 21680, 953, 834, 23330, 834, 14388, 549, 17444, 427, 96, 5522, 121, 3274, 505, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What school/club team is Amir Johnson on?
CREATE TABLE table_10015132_9 ( school_club_team VARCHAR, player VARCHAR )
SELECT school_club_team FROM table_10015132_9 WHERE player = "Amir Johnson"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2915, 1808, 23757, 834, 1298, 41, 496, 834, 13442, 834, 11650, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 496, 87, 13442, 372, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 496, 834, 13442, 834, 11650, 21680, 953, 834, 2915, 1808, 23757, 834, 1298, 549, 17444, 427, 1959, 3274, 96, 188, 5884, 5891, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average % of population Tunisia, which has an average relative annual growth smaller than 1.03?
CREATE TABLE table_name_17 (_percentage_of_pop INTEGER, country__or_dependent_territory_ VARCHAR, average_relative_annual_growth___percentage_ VARCHAR)
SELECT AVG(_percentage_of_pop) FROM table_name_17 WHERE country__or_dependent_territory_ = "tunisia" AND average_relative_annual_growth___percentage_ < 1.03
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 834, 883, 3728, 545, 834, 858, 834, 9791, 3, 21342, 17966, 6, 684, 834, 834, 127, 834, 17631, 834, 17, 21301, 10972, 834, 584, 4280, 28027, 6, 1348, 83...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 834, 883, 3728, 545, 834, 858, 834, 9791, 61, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 684, 834, 834, 127, 834, 17631, 834, 17, 21301, 10972, 834, 3274, 96, 17, 202, 159, 23, 9, 121, 3430...
how many toyotas were there in the top 10 finishes ?
CREATE TABLE table_203_131 ( id number, "pos." number, "car #" number, "driver" text, "make" text, "team" text )
SELECT COUNT(*) FROM table_203_131 WHERE "make" = 'toyota'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 22048, 41, 3, 23, 26, 381, 6, 96, 2748, 535, 381, 6, 96, 1720, 1713, 121, 381, 6, 96, 13739, 52, 121, 1499, 6, 96, 19509, 121, 1499, 6, 96, 11650, 121, 1499...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 21680, 953, 834, 23330, 834, 22048, 549, 17444, 427, 96, 19509, 121, 3274, 3, 31, 235, 63, 32, 17, 9, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
WHAT IS THE LEAGUE WITH HOME 1-1?
CREATE TABLE table_name_63 (league VARCHAR, home VARCHAR)
SELECT league FROM table_name_63 WHERE home = "1-1"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 29512, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 21665, 6827, 1853, 9132, 8418, 5078, 11951, 26496, 209, 2292, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5533, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 234, 3274, 96, 536, 2292, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What year did the winnings equal $281,945?
CREATE TABLE table_2182562_1 (year VARCHAR, winnings VARCHAR)
SELECT year FROM table_2182562_1 WHERE winnings = "$281,945"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 2606, 1828, 4056, 834, 536, 41, 1201, 584, 4280, 28027, 6, 3447, 7, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 215, 410, 8, 3447, 7, 4081, 3771, 4959, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 215, 21680, 953, 834, 357, 2606, 1828, 4056, 834, 536, 549, 17444, 427, 3447, 7, 3274, 96, 3229, 2577, 4347, 4240, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the most number for notre dame prep
CREATE TABLE table_25118909_3 (_number INTEGER, former_school VARCHAR)
SELECT MAX(_number) FROM table_25118909_3 WHERE former_school = "Notre Dame Prep"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 2596, 3914, 4198, 834, 519, 41, 834, 5525, 1152, 3, 21342, 17966, 6, 1798, 834, 6646, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 167, 381, 21, 1680, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 834, 5525, 1152, 61, 21680, 953, 834, 1828, 2596, 3914, 4198, 834, 519, 549, 17444, 427, 1798, 834, 6646, 3274, 96, 10358, 60, 3, 17084, 1266, 102, 121, 1, -100, -100, -100, -100, -100, -100, -100, -10...
Name the w/l for czech republic
CREATE TABLE table_22825058_23 (w_l VARCHAR, against VARCHAR)
SELECT w_l FROM table_22825058_23 WHERE against = "Czech Republic"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 2577, 11434, 3449, 834, 2773, 41, 210, 834, 40, 584, 4280, 28027, 6, 581, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 3, 210, 87, 40, 21, 3, 75, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 210, 834, 40, 21680, 953, 834, 357, 2577, 11434, 3449, 834, 2773, 549, 17444, 427, 581, 3274, 96, 254, 776, 524, 5750, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What's the count for obese children and adolescents ranked 48?
CREATE TABLE table_name_1 ( obese_children_and_adolescents VARCHAR, obesity_rank VARCHAR )
SELECT obese_children_and_adolescents FROM table_name_1 WHERE obesity_rank = 48
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 29329, 834, 25782, 834, 232, 834, 9, 26, 32, 40, 11719, 7, 584, 4280, 28027, 6, 18719, 834, 6254, 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, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 29329, 834, 25782, 834, 232, 834, 9, 26, 32, 40, 11719, 7, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 18719, 834, 6254, 3274, 4678, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many tries for does the team with 263 points against have?
CREATE TABLE table_name_13 ( tries_for VARCHAR, points_against VARCHAR )
SELECT tries_for FROM table_name_13 WHERE points_against = "263"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 3, 9000, 834, 1161, 584, 4280, 28027, 6, 979, 834, 9, 16720, 7, 17, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 3, 9000, 21, 40...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 9000, 834, 1161, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 979, 834, 9, 16720, 7, 17, 3274, 96, 357, 3891, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the Time/Retired value for Ludovico Scarfiotti?
CREATE TABLE table_name_80 (time_retired VARCHAR, driver VARCHAR)
SELECT time_retired FROM table_name_80 WHERE driver = "ludovico scarfiotti"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2900, 87, 1649, 11809, 26, 701, 21, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 97, 834, 10682, 1271, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 2535, 3274, 96, 40, 76, 26, 13388, 32, 25816, 23, 22334, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which semesters do not have any student enrolled? List the semester name.
CREATE TABLE Student_Enrolment (semester_name VARCHAR, semester_id VARCHAR); CREATE TABLE Semesters (semester_name VARCHAR, semester_id VARCHAR)
SELECT semester_name FROM Semesters WHERE NOT semester_id IN (SELECT semester_id FROM Student_Enrolment)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6341, 834, 8532, 3491, 297, 41, 7, 15, 526, 1370, 834, 4350, 584, 4280, 28027, 6, 10542, 834, 23, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 31112, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 10542, 834, 4350, 21680, 31112, 7, 549, 17444, 427, 4486, 10542, 834, 23, 26, 3388, 41, 23143, 14196, 10542, 834, 23, 26, 21680, 6341, 834, 8532, 3491, 297, 61, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the latest year a division was established?
CREATE TABLE table_1784514_1 ( year_established INTEGER )
SELECT MAX(year_established) FROM table_1784514_1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27640, 2128, 2534, 834, 536, 41, 215, 834, 24109, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1251, 215, 3, 9, 4889, 47, 2127, 58, 1, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 1201, 834, 24109, 61, 21680, 953, 834, 27640, 2128, 2534, 834, 536, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Winners club has a Week of 4.5?
CREATE TABLE table_name_20 ( winners_club VARCHAR, week VARCHAR )
SELECT winners_club FROM table_name_20 WHERE week = 4.5
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 8969, 834, 13442, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 18125, 7, 1886, 65, 3, 9, 6551, 13, 3, 12451,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 8969, 834, 13442, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 471, 3274, 3, 12451, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Return a scatter chart about the correlation between Team_ID and ACC_Percent , and group by attribute ACC_Regular_Season.
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 ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text )
SELECT Team_ID, ACC_Percent FROM basketball_match GROUP BY ACC_Regular_Season
[ 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, 4309, 6, 3, 14775, 834, 12988, 3728, 21680, 8498, 834, 19515, 350, 4630, 6880, 272, 476, 3, 14775, 834, 17748, 4885, 834, 134, 15, 9, 739, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
provide the number of patients who died primarily due to fall on stair/step nec.
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "1" AND diagnoses.short_title = "Fall on stair/step NEC"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4293, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 5...
What is the LMS number of the trains built by G&SWR Kilmarnock?
CREATE TABLE table_15412381_5 ( lms_nos VARCHAR, builder VARCHAR )
SELECT lms_nos FROM table_15412381_5 WHERE builder = "G&SWR Kilmarnock"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27308, 14574, 4959, 834, 755, 41, 3, 40, 51, 7, 834, 4844, 584, 4280, 28027, 6, 918, 49, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 301, 4211, 38...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 40, 51, 7, 834, 4844, 21680, 953, 834, 27308, 14574, 4959, 834, 755, 549, 17444, 427, 918, 49, 3274, 96, 517, 184, 134, 15472, 12672, 1635, 29, 3961, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What years were the goals less then 160?
CREATE TABLE table_name_41 (years VARCHAR, goals INTEGER)
SELECT years FROM table_name_41 WHERE goals < 160
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 1201, 7, 584, 4280, 28027, 6, 1766, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 363, 203, 130, 8, 1766, 705, 258, 11321, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 203, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 1766, 3, 2, 11321, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What stadium did the Denver Broncos visit?
CREATE TABLE table_68710 ( "Date" text, "Visiting team" text, "Final score" text, "Host team" text, "Stadium" text )
SELECT "Stadium" FROM table_68710 WHERE "Visiting team" = 'denver broncos'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3651, 940, 1714, 41, 96, 308, 342, 121, 1499, 6, 96, 30338, 372, 121, 1499, 6, 96, 371, 10270, 2604, 121, 1499, 6, 96, 566, 3481, 372, 121, 1499, 6, 96, 134, 17, 9, 129...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 17, 9, 12925, 121, 21680, 953, 834, 3651, 940, 1714, 549, 17444, 427, 96, 30338, 372, 121, 3274, 3, 31, 537, 624, 3, 13711, 509, 7, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many instrument does the musician with last name "Heilo" use?
CREATE TABLE instruments (bandmateid VARCHAR); CREATE TABLE Band (id VARCHAR, lastname VARCHAR)
SELECT COUNT(DISTINCT instrument) FROM instruments AS T1 JOIN Band AS T2 ON T1.bandmateid = T2.id WHERE T2.lastname = "Heilo"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7778, 41, 3348, 5058, 23, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 4483, 41, 23, 26, 584, 4280, 28027, 6, 336, 4350, 584, 4280, 28027, 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, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 5009, 61, 21680, 7778, 6157, 332, 536, 3, 15355, 3162, 4483, 6157, 332, 357, 9191, 332, 5411, 3348, 5058, 23, 26, 3274, 332, 4416, 23, 26, 549, 17444, 427, 332, 4416, 5064, 4350, ...
What is the name of the home team that played away team Footscray?
CREATE TABLE table_name_46 ( home_team VARCHAR, away_team VARCHAR )
SELECT home_team FROM table_name_46 WHERE away_team = "footscray"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 234, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 564, 13, 8, 234, 372, 24, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 550, 834, 11650, 3274, 96, 6259, 7, 2935, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the highest number of extra points?
CREATE TABLE table_14342480_15 ( extra_points INTEGER )
SELECT MAX(extra_points) FROM table_14342480_15
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25133, 4165, 20579, 834, 1808, 41, 996, 834, 2700, 7, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2030, 381, 13, 996, 979, 58, 1, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 25666, 834, 2700, 7, 61, 21680, 953, 834, 25133, 4165, 20579, 834, 1808, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which pens has 1 tries and matt alexander as a player with conv of 4?
CREATE TABLE table_name_38 (pens VARCHAR, conv VARCHAR, tries VARCHAR, player VARCHAR)
SELECT pens FROM table_name_38 WHERE tries = "1" AND player = "matt alexander" AND conv = "4"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 3801, 584, 4280, 28027, 6, 975, 208, 584, 4280, 28027, 6, 3, 9000, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3801, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 3, 9000, 3274, 96, 536, 121, 3430, 1959, 3274, 96, 3357, 17, 1240, 226, 11849, 121, 3430, 975, 208, 3274, 96, 20364, 1, -100, -100, -100, -100, -100, -100,...
how many people from ethiopia ranked in the top 9 ?
CREATE TABLE table_204_90 ( id number, "rank" number, "name" text, "nationality" text, "time" text )
SELECT COUNT("name") FROM table_204_90 WHERE "nationality" = 'ethiopia' AND id <= 9
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 2394, 41, 3, 23, 26, 381, 6, 96, 6254, 121, 381, 6, 96, 4350, 121, 1499, 6, 96, 16557, 485, 121, 1499, 6, 96, 715, 121, 1499, 3, 61, 3, 32102, 32103, 32101,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 4350, 8512, 21680, 953, 834, 26363, 834, 2394, 549, 17444, 427, 96, 16557, 485, 121, 3274, 3, 31, 15, 7436, 18916, 31, 3430, 3, 23, 26, 3, 2, 2423, 668, 1, -100, -100, -100, -100, -100, -100...
If the place is hemkunt sahib what is the category?
CREATE TABLE table_1430913_1 (category VARCHAR, name_of_place VARCHAR)
SELECT category FROM table_1430913_1 WHERE name_of_place = "Hemkunt Sahib"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25133, 4198, 2368, 834, 536, 41, 8367, 839, 651, 584, 4280, 28027, 6, 564, 834, 858, 834, 4687, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 156, 8, 286, 19, 3, 601...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3295, 21680, 953, 834, 25133, 4198, 2368, 834, 536, 549, 17444, 427, 564, 834, 858, 834, 4687, 3274, 96, 3845, 51, 157, 202, 17, 1138, 107, 23, 115, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many total Gold medals did the nation ranked #3 receive?
CREATE TABLE table_42579 ( "Rank" text, "Nation" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT SUM("Gold") FROM table_42579 WHERE "Rank" = '3'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 1828, 4440, 41, 96, 22557, 121, 1499, 6, 96, 567, 257, 121, 1499, 6, 96, 23576, 121, 490, 6, 96, 134, 173, 624, 121, 490, 6, 96, 22780, 29, 776, 121, 490, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 121, 23576, 8512, 21680, 953, 834, 591, 1828, 4440, 549, 17444, 427, 96, 22557, 121, 3274, 3, 31, 519, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When was the first season?
CREATE TABLE table_72829 ( "Season" real, "MLS Reg. Season" text, "MLS Cup Playoffs" text, "U.S. Open Cup" text, "CONCACAF Champions Cup / Champions League" text )
SELECT MIN("Season") FROM table_72829
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 2577, 3166, 41, 96, 134, 15, 9, 739, 121, 490, 6, 96, 17976, 7777, 5, 7960, 121, 1499, 6, 96, 17976, 3802, 2911, 1647, 7, 121, 1499, 6, 96, 1265, 5, 134, 5, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 134, 15, 9, 739, 8512, 21680, 953, 834, 940, 2577, 3166, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
provide the number of patients whose admission location is clinic referral/premature and year of birth is less than 2117?
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND demographic.dob_year < "2117"
[ 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, 254, 20931, 4666, 4083, 20805, 21415, 87, 5554, 20211, 25380, 1...
Name the school for Season Outcome of loss in first round of div. i playoffs
CREATE TABLE table_68071 ( "School" text, "Team" text, "Division Record" text, "Overall Record" text, "Season Outcome" text )
SELECT "School" FROM table_68071 WHERE "Season Outcome" = 'loss in first round of div. i playoffs'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3651, 4560, 536, 41, 96, 29364, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 308, 23, 6610, 11392, 121, 1499, 6, 96, 23847, 1748, 11392, 121, 1499, 6, 96, 134, 15, 9, 739, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 29364, 121, 21680, 953, 834, 3651, 4560, 536, 549, 17444, 427, 96, 134, 15, 9, 739, 3387, 287, 15, 121, 3274, 3, 31, 2298, 7, 16, 166, 1751, 13, 3, 8481, 5, 3, 23, 15289, 7, 31, 1, -100, -100, -100, -100, ...
On what ground was the game on 31 Jul 2007?
CREATE TABLE table_70827 ( "Match" real, "Date" text, "Competition or tour" text, "Ground" text, "Opponent" text, "Score1" text )
SELECT "Ground" FROM table_70827 WHERE "Date" = '31 jul 2007'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2518, 927, 2555, 41, 96, 329, 14547, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 5890, 4995, 4749, 42, 1552, 121, 1499, 6, 96, 517, 7775, 121, 1499, 6, 96, 667, 102, 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, 517, 7775, 121, 21680, 953, 834, 2518, 927, 2555, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 3341, 3, 354, 83, 4101, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
A pie chart shows the proportion of ACC_Road and the amount of ACC_Road.
CREATE TABLE university ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text ) 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 )
SELECT ACC_Road, COUNT(ACC_Road) FROM basketball_match GROUP BY ACC_Road
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3819, 41, 1121, 834, 4309, 16, 17, 6, 1121, 1499, 6, 10450, 1499, 6, 3, 20100, 490, 6, 71, 89, 8027, 23, 257, 1499, 6, 695, 4046, 297, 490, 6, 7486, 4350, 1499, 6, 14542, 834, 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, 3, 14775, 834, 448, 32, 9, 26, 6, 2847, 17161, 599, 14775, 834, 448, 32, 9, 26, 61, 21680, 8498, 834, 19515, 350, 4630, 6880, 272, 476, 3, 14775, 834, 448, 32, 9, 26, 1, -100, -100, -100, -100, -100, -100, -100,...
What is the game number held on May 20?
CREATE TABLE table_name_52 (game INTEGER, date VARCHAR)
SELECT AVG(game) FROM table_name_52 WHERE date = "may 20"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 7261, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 467, 381, 1213, 30, 932, 460, 58, 1, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 7261, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 833, 3274, 96, 13726, 460, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Return a bar chart on how many documents are there of each type?, and list in asc by the total number.
CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15), Budget_Type_Description VARCHAR(255) ) CREATE TABLE Statements ( Statement_ID INTEGER, Statement_Details VARCHAR(255) ) CREATE TABLE Documents ( Document_ID INTEGER, Document_Type_Code CHAR(15), Project_ID INTEGER, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255) ) CREATE TABLE Accounts ( Account_ID INTEGER, Statement_ID INTEGER, Account_Details VARCHAR(255) ) CREATE TABLE Projects ( Project_ID INTEGER, Project_Details VARCHAR(255) ) CREATE TABLE Ref_Document_Types ( Document_Type_Code CHAR(15), Document_Type_Name VARCHAR(255), Document_Type_Description VARCHAR(255) ) CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER, Budget_Type_Code CHAR(15), Document_Details VARCHAR(255) )
SELECT Document_Type_Code, COUNT(*) FROM Documents GROUP BY Document_Type_Code ORDER BY COUNT(*)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 419, 89, 834, 279, 13164, 17, 834, 22737, 7, 41, 12532, 834, 25160, 834, 22737, 3, 28027, 599, 1808, 201, 12532, 834, 25160, 834, 2962, 11830, 584, 4280, 28027, 599, 25502, 61, 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, 11167, 834, 25160, 834, 22737, 6, 2847, 17161, 599, 1935, 61, 21680, 11167, 7, 350, 4630, 6880, 272, 476, 11167, 834, 25160, 834, 22737, 4674, 11300, 272, 476, 2847, 17161, 599, 1935, 61, 1, -100, -100, -100, -100, -1...
What is the highest position for Nelson, with a played entry of more than 24?
CREATE TABLE table_name_10 ( position INTEGER, team VARCHAR, played VARCHAR )
SELECT MAX(position) FROM table_name_10 WHERE team = "nelson" AND played > 24
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 1102, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 1944, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2030, 1102, 21, 14448, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 4718, 61, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 372, 3274, 96, 29, 3573, 106, 121, 3430, 1944, 2490, 997, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many project staff worked as leaders or started working before '1989-04-24 23:51:54'?
CREATE TABLE documents ( document_id number, document_type_code text, grant_id number, sent_date time, response_received_date time, other_details text ) CREATE TABLE tasks ( task_id number, project_id number, task_details text, eg agree objectives text ) CREATE TABLE organisation_types ( organisation_type text, organisation_type_description text ) CREATE TABLE organisations ( organisation_id number, organisation_type text, organisation_details text ) CREATE TABLE projects ( project_id number, organisation_id number, project_details text ) CREATE TABLE research_outcomes ( outcome_code text, outcome_description text ) CREATE TABLE grants ( grant_id number, organisation_id number, grant_amount number, grant_start_date time, grant_end_date time, other_details text ) CREATE TABLE project_outcomes ( project_id number, outcome_code text, outcome_details text ) CREATE TABLE project_staff ( staff_id number, project_id number, role_code text, date_from time, date_to time, other_details text ) CREATE TABLE research_staff ( staff_id number, employer_organisation_id number, staff_details text ) CREATE TABLE document_types ( document_type_code text, document_description text ) CREATE TABLE staff_roles ( role_code text, role_description text )
SELECT COUNT(*) FROM project_staff WHERE role_code = 'leader' OR date_from < '1989-04-24 23:51:54'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2691, 41, 1708, 834, 23, 26, 381, 6, 1708, 834, 6137, 834, 4978, 1499, 6, 5334, 834, 23, 26, 381, 6, 1622, 834, 5522, 97, 6, 1773, 834, 60, 565, 757, 26, 834, 5522, 97, 6, 119, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 516, 834, 26416, 549, 17444, 427, 1075, 834, 4978, 3274, 3, 31, 22900, 31, 4674, 833, 834, 7152, 3, 2, 3, 31, 2294, 3914, 18083, 14962, 1902, 10, 5553, 10, 5062, 31, 1, -100, -10...
What is the college of dave adams, who has a pick greater than 7?
CREATE TABLE table_name_63 (college VARCHAR, pick VARCHAR, name VARCHAR)
SELECT college FROM table_name_63 WHERE pick > 7 AND name = "dave adams"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 3297, 7883, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1900, 13, 836, 162, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1900, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 1432, 2490, 489, 3430, 564, 3274, 96, 26, 9, 162, 3, 9, 7812, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the average attendance in weeks after 16?
CREATE TABLE table_33395 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" real )
SELECT AVG("Attendance") FROM table_33395 WHERE "Week" > '16'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23360, 3301, 41, 96, 518, 10266, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 188, 17, 324, 26, 663, 121, 490...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 71, 17217, 599, 121, 188, 17, 324, 26, 663, 8512, 21680, 953, 834, 23360, 3301, 549, 17444, 427, 96, 518, 10266, 121, 2490, 3, 31, 2938, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...