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 margin of victory on Apr 8, 1979?
CREATE TABLE table_name_28 (margin_of_victory VARCHAR, date VARCHAR)
SELECT margin_of_victory FROM table_name_28 WHERE date = "apr 8, 1979"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 1635, 122, 77, 834, 858, 834, 7287, 10972, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 6346, 13, 6224, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6346, 834, 858, 834, 7287, 10972, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 833, 3274, 96, 9, 102, 52, 9478, 15393, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What Wireless LAN had a process technology of 90nm and a Carmel centrino?
CREATE TABLE table_23450 ( "Wireless LAN" text, "Chipset" text, "Centrino" text, "Processor" text, "Codename" text, "Release Date" real, "Process Technology" text, "Microarchitecture" text )
SELECT "Wireless LAN" FROM table_23450 WHERE "Process Technology" = '90nm' AND "Centrino" = 'Carmel'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 10593, 41, 96, 13601, 15, 924, 3, 12303, 121, 1499, 6, 96, 254, 10462, 2244, 121, 1499, 6, 96, 254, 295, 52, 77, 32, 121, 1499, 6, 96, 3174, 75, 24901, 121, 1499, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 13601, 15, 924, 3, 12303, 121, 21680, 953, 834, 2773, 10593, 549, 17444, 427, 96, 3174, 2319, 7, 3669, 121, 3274, 3, 31, 2394, 29, 51, 31, 3430, 96, 254, 295, 52, 77, 32, 121, 3274, 3, 31, 6936, 2341, 31, ...
Name the number of high points for record 5-17
CREATE TABLE table_23186738_6 (high_points VARCHAR, record VARCHAR)
SELECT COUNT(high_points) FROM table_23186738_6 WHERE record = "5-17"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 2606, 3708, 3747, 834, 948, 41, 6739, 834, 2700, 7, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 381, 13, 306, 979, 21, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 6739, 834, 2700, 7, 61, 21680, 953, 834, 2773, 2606, 3708, 3747, 834, 948, 549, 17444, 427, 1368, 3274, 96, 755, 10794, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Quarterfinal has a Rank larger than 9?
CREATE TABLE table_51295 ( "Event" text, "2nd round" text, "Quarterfinal" text, "Semifinal" text, "Final" text, "Rank" real )
SELECT "Quarterfinal" FROM table_51295 WHERE "Rank" > '9'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24163, 3301, 41, 96, 427, 2169, 121, 1499, 6, 96, 357, 727, 1751, 121, 1499, 6, 96, 5991, 1408, 49, 12406, 121, 1499, 6, 96, 134, 15, 51, 23, 12406, 121, 1499, 6, 96, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 5991, 1408, 49, 12406, 121, 21680, 953, 834, 24163, 3301, 549, 17444, 427, 96, 22557, 121, 2490, 3, 31, 1298, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who used the Honda Engine for all the races?
CREATE TABLE table_name_34 ( team VARCHAR, engine VARCHAR, races VARCHAR )
SELECT team FROM table_name_34 WHERE engine = "honda" AND races = "all"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 372, 584, 4280, 28027, 6, 1948, 584, 4280, 28027, 6, 10879, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 261, 8, 12886, 10612, 21, 66, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 372, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 1948, 3274, 96, 31782, 121, 3430, 10879, 3274, 96, 1748, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the reporters for 2003
CREATE TABLE table_22514845_2 ( reporters VARCHAR, year VARCHAR )
SELECT reporters FROM table_22514845_2 WHERE year = 2003
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20489, 24748, 2128, 834, 357, 41, 19644, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 19644, 21, 3888, 1, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 19644, 21680, 953, 834, 20489, 24748, 2128, 834, 357, 549, 17444, 427, 215, 3274, 3888, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Show me a bar chart for what are the apartment number and the room count of each apartment?
CREATE TABLE Guests ( guest_id INTEGER, gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME ) CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER, apt_id INTEGER, guest_id INTEGER, booking_status_code CHAR(15), booking_start_date DATETIME, booking_end_date DATETIME ) CREATE TABLE Apartment_Buildings ( building_id INTEGER, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80) ) CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME, available_yn BIT ) CREATE TABLE Apartments ( apt_id INTEGER, building_id INTEGER, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5) ) CREATE TABLE Apartment_Facilities ( apt_id INTEGER, facility_code CHAR(15) )
SELECT apt_number, room_count FROM Apartments
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3, 22360, 41, 3886, 834, 23, 26, 3, 21342, 17966, 6, 7285, 834, 4978, 3, 28027, 14296, 6, 3886, 834, 14672, 834, 4350, 584, 4280, 28027, 599, 2079, 201, 3886, 834, 5064, 834, 4350, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 6789, 834, 5525, 1152, 6, 562, 834, 13362, 21680, 15970, 7, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the date for Zouave?
CREATE TABLE table_55911 ( "Date" text, "Name" text, "Flag" text, "Tonnage (GRT)" real, "Sunk by" text )
SELECT "Date" FROM table_55911 WHERE "Name" = 'zouave'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 3390, 2596, 41, 96, 308, 342, 121, 1499, 6, 96, 23954, 121, 1499, 6, 96, 371, 5430, 121, 1499, 6, 96, 382, 106, 9761, 41, 517, 5934, 61, 121, 490, 6, 96, 134, 6513...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3390, 2596, 549, 17444, 427, 96, 23954, 121, 3274, 3, 31, 172, 1063, 9, 162, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the date of game with tie number of 10?
CREATE TABLE table_name_35 ( date VARCHAR, tie_no VARCHAR )
SELECT date FROM table_name_35 WHERE tie_no = "10"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 833, 584, 4280, 28027, 6, 6177, 834, 29, 32, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 833, 13, 467, 28, 6177, 381, 13, 335...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 6177, 834, 29, 32, 3274, 96, 1714, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which source has a date of June 2008?
CREATE TABLE table_66327 ( "Date" text, "Internet Explorer" text, "Firefox" text, "Opera" text, "Safari" text, "Source" text )
SELECT "Source" FROM table_66327 WHERE "Date" = 'june 2008'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3539, 519, 2555, 41, 96, 308, 342, 121, 1499, 6, 96, 22912, 15762, 121, 1499, 6, 96, 3183, 60, 20400, 121, 1499, 6, 96, 667, 883, 9, 121, 1499, 6, 96, 134, 9, 5544, 23,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 23799, 121, 21680, 953, 834, 3539, 519, 2555, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 6959, 15, 2628, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what is the rank when the player is henry shefflin and the matches is higher than 4?
CREATE TABLE table_name_9 ( rank INTEGER, player VARCHAR, matches VARCHAR )
SELECT SUM(rank) FROM table_name_9 WHERE player = "henry shefflin" AND matches > 4
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 11003, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 6, 6407, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 11003, 116, 8, 1959, 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, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 6254, 61, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 1959, 3274, 96, 3225, 651, 255, 89, 89, 40, 77, 121, 3430, 6407, 2490, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many years did he play in santiago de compostela?
CREATE TABLE table_57304 ( "city" text, "position" real, "Event" text, "year" real, "Score" text )
SELECT SUM("year") FROM table_57304 WHERE "city" = 'santiago de compostela'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3436, 23702, 41, 96, 6726, 121, 1499, 6, 96, 4718, 121, 490, 6, 96, 427, 2169, 121, 1499, 6, 96, 1201, 121, 490, 6, 96, 134, 9022, 121, 1499, 3, 61, 3, 32102, 32103, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 121, 1201, 8512, 21680, 953, 834, 3436, 23702, 549, 17444, 427, 96, 6726, 121, 3274, 3, 31, 7, 5965, 9, 839, 20, 17883, 15, 521, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
For those records from the products and each product's manufacturer, return a bar chart about the distribution of name and the average of price , and group by attribute name, and rank Name from low to high order.
CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL ) CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER )
SELECT T2.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name
[ 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, 332, 4416, 23954, 6, 332, 5411, 345, 4920, 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, 332, 441...
what are the number of channels owned by the government ?
CREATE TABLE table_203_51 ( id number, "channel" text, "definition" text, "organisation" text, "ownership" text, "notes" text )
SELECT COUNT("channel") FROM table_203_51 WHERE "ownership" = 'government'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 5553, 41, 3, 23, 26, 381, 6, 96, 19778, 121, 1499, 6, 96, 221, 5582, 1575, 121, 1499, 6, 96, 10832, 121, 1499, 6, 96, 13238, 2009, 121, 1499, 6, 96, 7977, 7...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 19778, 8512, 21680, 953, 834, 23330, 834, 5553, 549, 17444, 427, 96, 13238, 2009, 121, 3274, 3, 31, 27818, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who was the host country when bronze is [[|]] (1) and host city is Krynica?
CREATE TABLE table_49629 ( "Year" text, "Gold" text, "Silver" text, "Bronze" text, "Host city / cities" text, "Host country / countries" text )
SELECT "Host country / countries" FROM table_49629 WHERE "Bronze" = '[[|]] (1)' AND "Host city / cities" = 'krynica'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 4314, 3166, 41, 96, 476, 2741, 121, 1499, 6, 96, 23576, 121, 1499, 6, 96, 134, 173, 624, 121, 1499, 6, 96, 22780, 29, 776, 121, 1499, 6, 96, 566, 3481, 690, 3, 87,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 566, 3481, 684, 3, 87, 1440, 121, 21680, 953, 834, 591, 4314, 3166, 549, 17444, 427, 96, 22780, 29, 776, 121, 3274, 3, 31, 6306, 6306, 9175, 908, 908, 5637, 31, 3430, 96, 566, 3481, 690, 3, 87, 3119, 121, 32...
What is minimum age for different job title?
CREATE TABLE Person ( job VARCHAR, age INTEGER )
SELECT MIN(age), job FROM Person GROUP BY job
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 5780, 41, 613, 584, 4280, 28027, 6, 1246, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 2559, 1246, 21, 315, 613, 2233, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 545, 201, 613, 21680, 5780, 350, 4630, 6880, 272, 476, 613, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
which episode was Transmitted on friday if the episode of '515 the adventures of tintin' was transmitted on monday?
CREATE TABLE table_18173916_8 ( friday VARCHAR, monday VARCHAR )
SELECT friday FROM table_18173916_8 WHERE monday = "515 The Adventures of Tintin"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2606, 2517, 3288, 2938, 834, 927, 41, 9030, 1135, 584, 4280, 28027, 6, 1911, 1135, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 84, 5640, 47, 4946, 16030, 30, 9030...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 9030, 1135, 21680, 953, 834, 2606, 2517, 3288, 2938, 834, 927, 549, 17444, 427, 1911, 1135, 3274, 96, 755, 1808, 37, 12316, 7, 13, 7138, 17, 77, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Bar graph to show the total number from different building, rank y axis from low to high order.
CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER ) CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER ) CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) CREATE TABLE Faculty ( FacID INTEGER, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) CREATE TABLE Activity ( actid INTEGER, activity_name varchar(25) )
SELECT Building, COUNT(*) FROM Faculty GROUP BY Building ORDER BY COUNT(*)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 16896, 834, 13725, 23, 3389, 6203, 834, 77, 41, 1699, 75, 4309, 3, 21342, 17966, 6, 1810, 23, 26, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 15077, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 5450, 6, 2847, 17161, 599, 1935, 61, 21680, 16896, 350, 4630, 6880, 272, 476, 5450, 4674, 11300, 272, 476, 2847, 17161, 599, 1935, 61, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
When was the sargent bridge built?
CREATE TABLE table_name_61 ( built VARCHAR, name VARCHAR )
SELECT built FROM table_name_61 WHERE name = "sargent bridge"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 1192, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 366, 47, 8, 3, 7, 9917, 4716, 1192, 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, 1192, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 564, 3274, 96, 7, 9917, 4716, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the birth date for estonia for spiker and height of 189
CREATE TABLE table_25058562_2 (birth_date VARCHAR, height VARCHAR, nationality VARCHAR, position VARCHAR)
SELECT birth_date FROM table_25058562_2 WHERE nationality = "Estonia" AND position = "Spiker" AND height = 189
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 11434, 3449, 4834, 357, 834, 357, 41, 20663, 834, 5522, 584, 4280, 28027, 6, 3902, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 3879, 834, 5522, 21680, 953, 834, 11434, 3449, 4834, 357, 834, 357, 549, 17444, 427, 1157, 485, 3274, 96, 14997, 8008, 121, 3430, 1102, 3274, 96, 134, 102, 10109, 121, 3430, 3902, 3274, 3, 25312, 1, -100, -100, -100, ...
Which country is ranked 56 overall and has a heat rank smaller than 8?
CREATE TABLE table_name_72 (country VARCHAR, heat_rank VARCHAR, overall_rank VARCHAR)
SELECT country FROM table_name_72 WHERE heat_rank < 8 AND overall_rank = "56"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 17529, 584, 4280, 28027, 6, 1678, 834, 6254, 584, 4280, 28027, 6, 1879, 834, 6254, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 684, 19, 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, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 1678, 834, 6254, 3, 2, 505, 3430, 1879, 834, 6254, 3274, 96, 4834, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the date for the Sepang International circuit, round 3?
CREATE TABLE table_name_40 ( date VARCHAR, circuit VARCHAR, round VARCHAR )
SELECT date FROM table_name_40 WHERE circuit = "sepang international circuit" AND round = "3"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 833, 584, 4280, 28027, 6, 4558, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 833, 21, 8, 12219, 1468,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 4558, 3274, 96, 7, 15, 102, 1468, 1038, 4558, 121, 3430, 1751, 3274, 96, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
when was patient 007-16517 prescribed for the last time a medication via inhale medication in the current hospital visit?
CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE 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 diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) 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 microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time )
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 = '007-16517' AND patient.hospitaldischargetime IS NULL)) AND medication.routeadmin = 'inhale' ORDER BY medication.drugstarttime DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7757, 41, 7757, 23, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 2672, 4350, 1499, 6, 17166, 1499, 6, 2981, 20466, 29, 1499, 6, 2672, 10208, 715, 97, 6, 4845, 2916, 715, 97, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 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 episode had Lavern Baker?
CREATE TABLE table_26250151_1 (episode VARCHAR, original_recording_artist VARCHAR)
SELECT episode FROM table_26250151_1 WHERE original_recording_artist = "LaVern Baker"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 11434, 26578, 834, 536, 41, 15, 102, 159, 32, 221, 584, 4280, 28027, 6, 926, 834, 60, 7621, 53, 834, 1408, 343, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5640, 21680, 953, 834, 2688, 11434, 26578, 834, 536, 549, 17444, 427, 926, 834, 60, 7621, 53, 834, 1408, 343, 3274, 96, 3612, 5000, 29, 10731, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What size was the biggest crowd that watched the home team Hawthorn play?
CREATE TABLE table_name_95 (crowd INTEGER, home_team VARCHAR)
SELECT MAX(crowd) FROM table_name_95 WHERE home_team = "hawthorn"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 75, 3623, 26, 3, 21342, 17966, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 812, 47, 8, 2630, 4374, 24, 7533, 8, 234, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 234, 834, 11650, 3274, 96, 1024, 210, 17, 6293, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the site when the superintendent was John Barry?
CREATE TABLE table_name_28 ( site VARCHAR, superintendent VARCHAR )
SELECT site FROM table_name_28 WHERE superintendent = "john barry"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 353, 584, 4280, 28027, 6, 30158, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 353, 116, 8, 30158, 47, 1079, 18931, 58, 1, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 353, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 30158, 3274, 96, 27341, 1207, 651, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What field is an opponent of cannons and resulted with w 16-11?
CREATE TABLE table_61001 ( "Date" text, "Opponent" text, "Home/Away" text, "Field" text, "Result" text )
SELECT "Field" FROM table_61001 WHERE "Opponent" = 'cannons' AND "Result" = 'w 16-11'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4241, 17465, 41, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 19040, 87, 188, 1343, 121, 1499, 6, 96, 3183, 8804, 121, 1499, 6, 96, 20119, 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, 3183, 8804, 121, 21680, 953, 834, 4241, 17465, 549, 17444, 427, 96, 667, 102, 9977, 121, 3274, 3, 31, 75, 17805, 7, 31, 3430, 96, 20119, 121, 3274, 3, 31, 210, 898, 9169, 31, 1, -100, -100, -100, -100, -100, ...
Report the number of patients with an abnormal lab test status who have been diagnosed with unspecified atherosclerosis of native arteries of the extremities.
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE 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 )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Athscl extrm ntv art NOS" AND lab.flag = "abnormal"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7690, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 2118, 23, 26, 1499, 6, 5059, 715, 1499, 6, 5692, 1499, 6, 701, 834, 15129, 1499, 6, 3783, 1499, 6, 5798, 1499...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 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...
Where is the Church that has a Sub-Parish (Sokn) of rugsund?
CREATE TABLE table_62568 ( "Parish ( Prestegjeld )" text, "Sub-Parish (Sokn)" text, "Church Name" text, "Year Built" real, "Location of the Church" text )
SELECT "Location of the Church" FROM table_62568 WHERE "Sub-Parish (Sokn)" = 'rugsund'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 948, 1828, 3651, 41, 96, 13212, 1273, 41, 1266, 849, 122, 354, 8804, 3, 61, 121, 1499, 6, 96, 25252, 18, 13212, 1273, 41, 134, 1825, 29, 61, 121, 1499, 6, 96, 3541, 450, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 434, 32, 75, 257, 13, 8, 2345, 121, 21680, 953, 834, 948, 1828, 3651, 549, 17444, 427, 96, 25252, 18, 13212, 1273, 41, 134, 1825, 29, 61, 121, 3274, 3, 31, 22024, 1106, 31, 1, -100, -100, -100, -100, -100, -...
What's the IS-3 when the KV-85 is 40?
CREATE TABLE table_name_11 ( is_3_m1945 VARCHAR, kv_85_m1943 VARCHAR )
SELECT is_3_m1945 FROM table_name_11 WHERE kv_85_m1943 = "40"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 19, 834, 519, 834, 51, 2294, 2128, 584, 4280, 28027, 6, 3, 157, 208, 834, 4433, 834, 51, 2294, 4906, 584, 4280, 28027, 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, 0, 0, 0, 0...
[ 3, 23143, 14196, 19, 834, 519, 834, 51, 2294, 2128, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 3, 157, 208, 834, 4433, 834, 51, 2294, 4906, 3274, 96, 2445, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the number of restaurant in Pittsburgh rated 4.5
CREATE TABLE user ( uid int, user_id varchar, name varchar ) CREATE TABLE tip ( tip_id int, business_id varchar, text longtext, user_id varchar, likes int, year int, month varchar ) CREATE TABLE neighborhood ( id int, business_id varchar, neighborhood_name varchar ) CREATE TABLE business ( bid int, business_id varchar, name varchar, full_address varchar, city varchar, latitude varchar, longitude varchar, review_count bigint, is_open tinyint, rating float, state varchar ) CREATE TABLE review ( rid int, business_id varchar, user_id varchar, rating float, text longtext, year int, month varchar ) CREATE TABLE checkin ( cid int, business_id varchar, count int, day varchar ) CREATE TABLE category ( id int, business_id varchar, category_name varchar )
SELECT COUNT(DISTINCT (business.name)) FROM business, category WHERE business.city = 'Pittsburgh' AND business.rating = 4.5 AND category.business_id = business.business_id AND category.category_name = 'restaurant'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1139, 41, 3, 76, 23, 26, 16, 17, 6, 1139, 834, 23, 26, 3, 4331, 4059, 6, 564, 3, 4331, 4059, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 2226, 41, 2226, 834, 23, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 41, 16394, 5, 4350, 61, 61, 21680, 268, 6, 3295, 549, 17444, 427, 268, 5, 6726, 3274, 3, 31, 345, 155, 17, 7289, 107, 31, 3430, 268, 5, 52, 1014, 3274, 3, 12451, 3430, 3295, ...
what day was the score 39-14
CREATE TABLE table_name_58 (date VARCHAR, record VARCHAR)
SELECT date FROM table_name_58 WHERE record = "39-14"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 5522, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 125, 239, 47, 8, 2604, 6352, 11590, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 1368, 3274, 96, 3288, 11590, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many times has galaxy won the derby ?
CREATE TABLE table_204_801 ( id number, "year" number, "derby\nwinner" text, "galaxy" number, "draw" number, "chivas" number )
SELECT COUNT(*) FROM table_204_801 WHERE "derby\nwinner" = 'galaxy'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 2079, 536, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 588, 969, 2, 29, 3757, 687, 121, 1499, 6, 96, 6191, 9, 226, 63, 121, 381, 6, 96, 19489, 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, 26363, 834, 2079, 536, 549, 17444, 427, 96, 588, 969, 2, 29, 3757, 687, 121, 3274, 3, 31, 6191, 9, 226, 63, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
In which condition(s) is bleeding time prolonged and prothrombin time unaffected?
CREATE TABLE table_20134 ( "Condition" text, "Prothrombin time" text, "Partial thromboplastin time" text, "Bleeding time" text, "Platelet count" text )
SELECT "Condition" FROM table_20134 WHERE "Bleeding time" = 'Prolonged' AND "Prothrombin time" = 'Unaffected'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 11138, 591, 41, 96, 4302, 10569, 121, 1499, 6, 96, 3174, 8514, 51, 4517, 97, 121, 1499, 6, 96, 13212, 10646, 3, 8514, 6310, 23918, 77, 97, 121, 1499, 6, 96, 279, 40, 6958...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4302, 10569, 121, 21680, 953, 834, 11138, 591, 549, 17444, 427, 96, 279, 40, 6958, 53, 97, 121, 3274, 3, 31, 3174, 23629, 31, 3430, 96, 3174, 8514, 51, 4517, 97, 121, 3274, 3, 31, 5110, 9, 27488, 31, 1, -100...
What was the winning score with a margin victory of 2 strokes?
CREATE TABLE table_name_81 ( winning_score VARCHAR, margin_of_victory VARCHAR )
SELECT winning_score FROM table_name_81 WHERE margin_of_victory = "2 strokes"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 3447, 834, 7, 9022, 584, 4280, 28027, 6, 6346, 834, 858, 834, 7287, 10972, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 3447, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3447, 834, 7, 9022, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 6346, 834, 858, 834, 7287, 10972, 3274, 96, 357, 9529, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the average year for the Role of alvin seville simon seville david 'dave' seville, and a Title of the chipmunk adventure?
CREATE TABLE table_42447 ( "Year" real, "Title" text, "Producer" text, "Actor" text, "Role" text )
SELECT AVG("Year") FROM table_42447 WHERE "Role" = 'alvin seville simon seville david ''dave'' seville' AND "Title" = 'the chipmunk adventure'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 2266, 4177, 41, 96, 476, 2741, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 3174, 4817, 49, 121, 1499, 6, 96, 188, 5317, 121, 1499, 6, 96, 448, 32, 109, 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, 476, 2741, 8512, 21680, 953, 834, 591, 2266, 4177, 549, 17444, 427, 96, 448, 32, 109, 121, 3274, 3, 31, 138, 2494, 142, 1420, 108, 2157, 142, 1420, 836, 6961, 3, 31, 31, 26, 9, 162, 31, 31, ...
What are the names and ids of all stations that have more than 14 bikes available on average or had bikes installed in December?
CREATE TABLE station ( id number, name text, lat number, long number, dock_count number, city text, installation_date text ) CREATE TABLE status ( station_id number, bikes_available number, docks_available number, time text ) CREATE TABLE trip ( id number, duration number, start_date text, start_station_name text, start_station_id number, end_date text, end_station_name text, end_station_id number, bike_id number, subscription_type text, zip_code number ) CREATE TABLE weather ( date text, max_temperature_f number, mean_temperature_f number, min_temperature_f number, max_dew_point_f number, mean_dew_point_f number, min_dew_point_f number, max_humidity number, mean_humidity number, min_humidity number, max_sea_level_pressure_inches number, mean_sea_level_pressure_inches number, min_sea_level_pressure_inches number, max_visibility_miles number, mean_visibility_miles number, min_visibility_miles number, max_wind_speed_mph number, mean_wind_speed_mph number, max_gust_speed_mph number, precipitation_inches number, cloud_cover number, events text, wind_dir_degrees number, zip_code number )
SELECT T1.name, T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING AVG(T2.bikes_available) > 14 UNION SELECT name, id FROM station WHERE installation_date LIKE "12/%"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2478, 41, 3, 23, 26, 381, 6, 564, 1499, 6, 50, 17, 381, 6, 307, 381, 6, 12908, 834, 13362, 381, 6, 690, 1499, 6, 2545, 834, 5522, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 5411, 4350, 6, 332, 5411, 23, 26, 21680, 2478, 6157, 332, 536, 3, 15355, 3162, 2637, 6157, 332, 357, 9191, 332, 5411, 23, 26, 3274, 332, 4416, 6682, 834, 23, 26, 350, 4630, 6880, 272, 476, 332, 4416, 6682, 83...
Which Opponent has a Rockets score larger than 86, a Streak of won 1, and Opponents smaller than 101?
CREATE TABLE table_name_17 ( opponent VARCHAR, opponents VARCHAR, rockets_score VARCHAR, streak VARCHAR )
SELECT opponent FROM table_name_17 WHERE rockets_score > 86 AND streak = "won 1" AND opponents < 101
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 15264, 584, 4280, 28027, 6, 16383, 584, 4280, 28027, 6, 15721, 7, 834, 7, 9022, 584, 4280, 28027, 6, 18631, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 15721, 7, 834, 7, 9022, 2490, 3, 3840, 3430, 18631, 3274, 96, 210, 106, 209, 121, 3430, 16383, 3, 2, 13736, 1, -100, -100, -100, -100, -100, -100, -100, -100...
What are the official name(s) of places with an area of 304.06 km2?
CREATE TABLE table_176521_2 ( official_name VARCHAR, area_km_2 VARCHAR )
SELECT official_name FROM table_176521_2 WHERE area_km_2 = "304.06"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4122, 2658, 834, 357, 41, 2314, 834, 4350, 584, 4280, 28027, 6, 616, 834, 5848, 834, 357, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 8, 2314, 56...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 2314, 834, 4350, 21680, 953, 834, 2517, 4122, 2658, 834, 357, 549, 17444, 427, 616, 834, 5848, 834, 357, 3274, 96, 23702, 5, 5176, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What day is st kilda the home side?
CREATE TABLE table_54180 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT "Date" FROM table_54180 WHERE "Home team" = 'st kilda'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 5062, 20829, 41, 96, 19040, 372, 121, 1499, 6, 96, 19040, 372, 2604, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 188, 1343, 372, 2604, 121, 1499, 6, 96, 553, 35, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 308, 342, 121, 21680, 953, 834, 5062, 20829, 549, 17444, 427, 96, 19040, 372, 121, 3274, 3, 31, 7, 17, 3, 157, 173, 26, 9, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Date has a Status of second test?
CREATE TABLE table_name_54 ( date VARCHAR, status VARCHAR )
SELECT date FROM table_name_54 WHERE status = "second test"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 833, 584, 4280, 28027, 6, 2637, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 7678, 65, 3, 9, 19318, 13, 511, 794, 58, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 2637, 3274, 96, 12091, 794, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the minimum 2010 population of Edgewater?
CREATE TABLE table_249512_2 ( population__2010_ INTEGER, place_name VARCHAR )
SELECT MIN(population__2010_) FROM table_249512_2 WHERE place_name = "Edgewater"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 3301, 2122, 834, 357, 41, 2074, 834, 834, 14926, 834, 3, 21342, 17966, 6, 286, 834, 4350, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2559, 27...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 9791, 7830, 834, 834, 14926, 834, 61, 21680, 953, 834, 2266, 3301, 2122, 834, 357, 549, 17444, 427, 286, 834, 4350, 3274, 96, 427, 26, 397, 3552, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100...
Which Result has a Date of september 3, 2000?
CREATE TABLE table_48899 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" text )
SELECT "Result" FROM table_48899 WHERE "Date" = 'september 3, 2000'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 4060, 3264, 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,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 20119, 121, 21680, 953, 834, 591, 4060, 3264, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 7, 6707, 18247, 6180, 2766, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the lowest played number when points are larger than 32, and a wins are larger than 18?
CREATE TABLE table_name_52 (played INTEGER, points VARCHAR, wins VARCHAR)
SELECT MIN(played) FROM table_name_52 WHERE points > 32 AND wins > 18
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 4895, 15, 26, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 7402, 1944, 381, 116...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 4895, 15, 26, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 979, 2490, 3538, 3430, 9204, 2490, 507, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is year of construction of spitallamm?
CREATE TABLE table_10020178_1 ( year_of_construction INTEGER, name VARCHAR )
SELECT MIN(year_of_construction) FROM table_10020178_1 WHERE name = "Spitallamm"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2915, 9887, 927, 834, 536, 41, 215, 834, 858, 834, 26471, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 215, 13, 1449, 13, 16192...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17684, 599, 1201, 834, 858, 834, 26471, 61, 21680, 953, 834, 2915, 9887, 927, 834, 536, 549, 17444, 427, 564, 3274, 96, 134, 5230, 1748, 9, 635, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
List the names of all distinct nurses ordered by alphabetical order?
CREATE TABLE medication ( code number, name text, brand text, description text ) CREATE TABLE nurse ( employeeid number, name text, position text, registered boolean, ssn number ) CREATE TABLE on_call ( nurse number, blockfloor number, blockcode number, oncallstart time, oncallend time ) CREATE TABLE patient ( ssn number, name text, address text, phone text, insuranceid number, pcp number ) CREATE TABLE stay ( stayid number, patient number, room number, staystart time, stayend time ) CREATE TABLE block ( blockfloor number, blockcode number ) CREATE TABLE affiliated_with ( physician number, department number, primaryaffiliation boolean ) CREATE TABLE physician ( employeeid number, name text, position text, ssn number ) CREATE TABLE prescribes ( physician number, patient number, medication number, date time, appointment number, dose text ) CREATE TABLE room ( roomnumber number, roomtype text, blockfloor number, blockcode number, unavailable boolean ) CREATE TABLE trained_in ( physician number, treatment number, certificationdate time, certificationexpires time ) CREATE TABLE undergoes ( patient number, procedures number, stay number, dateundergoes time, physician number, assistingnurse number ) CREATE TABLE appointment ( appointmentid number, patient number, prepnurse number, physician number, start time, end time, examinationroom text ) CREATE TABLE procedures ( code number, name text, cost number ) CREATE TABLE department ( departmentid number, name text, head number )
SELECT DISTINCT name FROM nurse ORDER BY name
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7757, 41, 1081, 381, 6, 564, 1499, 6, 1056, 1499, 6, 4210, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 10444, 41, 3490, 23, 26, 381, 6, 564, 1499, 6, 1102, 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, 3, 15438, 25424, 6227, 564, 21680, 10444, 4674, 11300, 272, 476, 564, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many locations was game 3 played at?
CREATE TABLE table_23248967_5 ( location_attendance VARCHAR, game VARCHAR )
SELECT COUNT(location_attendance) FROM table_23248967_5 WHERE game = 3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 2266, 3914, 3708, 834, 755, 41, 1128, 834, 15116, 663, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 3248, 47, 467, 220, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14836, 834, 15116, 663, 61, 21680, 953, 834, 2773, 2266, 3914, 3708, 834, 755, 549, 17444, 427, 467, 3274, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the largest draw with 37 games from England?
CREATE TABLE table_name_65 ( drawn INTEGER, nationality VARCHAR, games VARCHAR )
SELECT MAX(drawn) FROM table_name_65 WHERE nationality = "england" AND games = 37
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 6796, 3, 21342, 17966, 6, 1157, 485, 584, 4280, 28027, 6, 1031, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2015, 3314, 28, 686...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 19489, 29, 61, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 1157, 485, 3274, 96, 4606, 40, 232, 121, 3430, 1031, 3274, 6862, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who has a To par of –2, and a Country of united states?
CREATE TABLE table_name_98 (player VARCHAR, to_par VARCHAR, country VARCHAR)
SELECT player FROM table_name_98 WHERE to_par = "–2" AND country = "united states"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 20846, 584, 4280, 28027, 6, 12, 834, 1893, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 65, 3, 9, 304, 260, 13,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 12, 834, 1893, 3274, 96, 104, 357, 121, 3430, 684, 3274, 96, 15129, 15, 26, 2315, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the highest season with International Formula Master as the series name and Marcello Puglisi (formula master italia) as the secondary class champion?
CREATE TABLE table_55687 ( "Season" real, "Series Name" text, "Champion" text, "Team Champion" text, "Secondary Class Champion" text )
SELECT MAX("Season") FROM table_55687 WHERE "Series Name" = 'international formula master' AND "Secondary Class Champion" = 'marcello puglisi (formula master italia)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3769, 3651, 940, 41, 96, 134, 15, 9, 739, 121, 490, 6, 96, 12106, 7, 5570, 121, 1499, 6, 96, 254, 1483, 12364, 121, 1499, 6, 96, 18699, 16127, 121, 1499, 6, 96, 134, 15...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 134, 15, 9, 739, 8512, 21680, 953, 834, 3769, 3651, 940, 549, 17444, 427, 96, 12106, 7, 5570, 121, 3274, 3, 31, 27817, 5403, 2325, 31, 3430, 96, 134, 15, 1018, 26, 1208, 4501, 16127, 121, 3274, ...
How many points for the cosworth v8 engine after 1985?
CREATE TABLE table_name_23 ( points VARCHAR, year VARCHAR, engine VARCHAR )
SELECT points FROM table_name_23 WHERE year > 1985 AND engine = "cosworth v8"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 979, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 1948, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 979, 21, 8, 576, 7, 7048, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 979, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 215, 2490, 13200, 3430, 1948, 3274, 96, 509, 7, 7048, 3, 208, 927, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What did the Melbourne team score in their away game?
CREATE TABLE table_name_3 ( away_team VARCHAR )
SELECT away_team AS score FROM table_name_3 WHERE away_team = "melbourne"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 550, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 410, 8, 9396, 372, 2604, 16, 70, 550, 467, 58, 1, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 550, 834, 11650, 3274, 96, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who is the opponent of the match on 3 December 1898 in venue h?
CREATE TABLE table_7940 ( "Date" text, "Opponent" text, "Venue" text, "Result" text, "Attendance" text )
SELECT "Opponent" FROM table_7940 WHERE "Venue" = 'h' AND "Date" = '3 december 1898'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4440, 2445, 41, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 188, 17, 324, 26, 663, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 667, 102, 9977, 121, 21680, 953, 834, 4440, 2445, 549, 17444, 427, 96, 553, 35, 76, 15, 121, 3274, 3, 31, 107, 31, 3430, 96, 308, 342, 121, 3274, 3, 31, 519, 20, 75, 18247, 507, 3916, 31, 1, -100, -100, -1...
who was the last president to serve consecutive years ?
CREATE TABLE table_204_278 ( id number, "name of president" text, "picture" text, "life span" text, "year of presidency" text, "place of conference" text )
SELECT "name of president" FROM table_204_278 WHERE "year of presidency" - "year of presidency" >= 1 ORDER BY "year of presidency" DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 357, 3940, 41, 3, 23, 26, 381, 6, 96, 4350, 13, 2753, 121, 1499, 6, 96, 6174, 2693, 121, 1499, 6, 96, 4597, 8438, 121, 1499, 6, 96, 1201, 13, 27405, 121, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 4350, 13, 2753, 121, 21680, 953, 834, 26363, 834, 357, 3940, 549, 17444, 427, 96, 1201, 13, 27405, 121, 3, 18, 96, 1201, 13, 27405, 121, 2490, 2423, 209, 4674, 11300, 272, 476, 96, 1201, 13, 27405, 121, 309, 2...
Who wrote the sorry of the episode directed by Dan Attias?
CREATE TABLE table_13755296_1 ( story_by VARCHAR, directed_by VARCHAR )
SELECT story_by FROM table_13755296_1 WHERE directed_by = "Dan Attias"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2368, 3072, 5373, 4314, 834, 536, 41, 733, 834, 969, 584, 4280, 28027, 6, 6640, 834, 969, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 2832, 8, 8032, 13, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 733, 834, 969, 21680, 953, 834, 2368, 3072, 5373, 4314, 834, 536, 549, 17444, 427, 6640, 834, 969, 3274, 96, 308, 152, 486, 17, 23, 9, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Start has a Qual of 207.590?
CREATE TABLE table_13658 ( "Year" text, "Start" text, "Qual" text, "Rank" text, "Finish" text, "Laps" real )
SELECT "Start" FROM table_13658 WHERE "Qual" = '207.590'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23459, 3449, 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, 361...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7681, 17, 121, 21680, 953, 834, 23459, 3449, 549, 17444, 427, 96, 5991, 138, 121, 3274, 3, 31, 1755, 15731, 2394, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
On what Date is Alexandra Fusai a Partner with a Score of 4 6, 6 3, 6 1?
CREATE TABLE table_name_46 ( date VARCHAR, partner VARCHAR, score VARCHAR )
SELECT date FROM table_name_46 WHERE partner = "alexandra fusai" AND score = "4–6, 6–3, 6–1"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 833, 584, 4280, 28027, 6, 2397, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 461, 125, 7678, 19, 10457, 9, 6343, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 2397, 3274, 96, 138, 994, 152, 3515, 7683, 7, 9, 23, 121, 3430, 2604, 3274, 96, 591, 104, 11071, 431, 104, 6355, 431, 104, 536, 121, 1, -100, -100, -100, -10...
since 6 years ago, when did patient 006-185446 last visit the hospital?
CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) 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 lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time )
SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '006-185446' AND DATETIME(patient.hospitaladmittime) >= DATETIME(CURRENT_TIME(), '-6 year') ORDER BY patient.hospitaladmittime DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 8209, 41, 8209, 23, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 8209, 4350, 1499, 6, 8209, 715, 97, 6, 3, 447, 26, 1298, 4978, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1868, 5, 31386, 20466, 17, 715, 21680, 1868, 549, 17444, 427, 1868, 5, 202, 1495, 12417, 3274, 3, 31, 1206, 948, 6996, 5062, 4448, 31, 3430, 309, 6048, 382, 15382, 599, 10061, 5, 31386, 20466, 17, 715, 61, 2490, 242...
Which Week 2 Sept 7 has a Week 6 Oct 5 of wake forest (3-1)?
CREATE TABLE table_34487 ( "Week 1 Sept 2" text, "Week 2 Sept 7" text, "Week 3 Sept 14" text, "Week 5 Sept 28" text, "Week 6 Oct 5" text, "Week 7 Oct 12" text, "Week 10 Nov 2" text, "Week 13 Nov 23" text, "Week 14 Nov 30" text, "Week 15 Dec 7" text, "Week 16 (Final) Jan 9" text )
SELECT "Week 2 Sept 7" FROM table_34487 WHERE "Week 6 Oct 5" = 'wake forest (3-1)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 3628, 4225, 41, 96, 518, 10266, 209, 10449, 204, 121, 1499, 6, 96, 518, 10266, 204, 10449, 489, 121, 1499, 6, 96, 518, 10266, 220, 10449, 968, 121, 1499, 6, 96, 518, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 518, 10266, 204, 10449, 489, 121, 21680, 953, 834, 519, 3628, 4225, 549, 17444, 427, 96, 518, 10266, 431, 6416, 3, 17395, 3274, 3, 31, 18603, 15, 5827, 6918, 18, 6982, 31, 1, -100, -100, -100, -100, -100, -100, ...
Visualize a scatter chart about the correlation between School_ID and All_Games_Percent , and group by attribute All_Games.
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 School_ID, All_Games_Percent FROM basketball_match GROUP BY All_Games
[ 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, 1121, 834, 4309, 6, 432, 834, 23055, 7, 834, 12988, 3728, 21680, 8498, 834, 19515, 350, 4630, 6880, 272, 476, 432, 834, 23055, 7, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the forename and surname of the driver who has the smallest laptime?
CREATE TABLE laptimes (driverid VARCHAR, milliseconds VARCHAR); CREATE TABLE drivers (forename VARCHAR, surname VARCHAR, driverid VARCHAR)
SELECT T1.forename, T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid ORDER BY T2.milliseconds LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14941, 715, 7, 41, 13739, 4055, 584, 4280, 28027, 6, 3293, 23, 12091, 7, 584, 4280, 28027, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 3863, 41, 1161, 15, 4350, 584, 4280,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 5411, 1161, 15, 4350, 6, 332, 5411, 3042, 4350, 21680, 3863, 6157, 332, 536, 3, 15355, 3162, 14941, 715, 7, 6157, 332, 357, 9191, 332, 5411, 13739, 4055, 3274, 332, 4416, 13739, 4055, 4674, 11300, 272, 476, 332, ...
Which teams had a difference of 8 between goals scored and goals conceeded
CREATE TABLE table_1243 ( "Position" real, "Team" text, "Points" real, "Played" real, "Won" real, "Drawn" real, "Lost" real, "For" real, "Against" real, "Difference" text )
SELECT "Team" FROM table_1243 WHERE "Difference" = '8'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2122, 4906, 41, 96, 345, 32, 7, 4749, 121, 490, 6, 96, 18699, 121, 1499, 6, 96, 22512, 7, 121, 490, 6, 96, 15800, 15, 26, 121, 490, 6, 96, 518, 106, 121, 490, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 18699, 121, 21680, 953, 834, 2122, 4906, 549, 17444, 427, 96, 308, 99, 11788, 121, 3274, 3, 31, 927, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the highest front row starts for Alain Prost?
CREATE TABLE table_38268 ( "Driver" text, "Season" text, "Entries" real, "Front row starts" real, "Percentage" text )
SELECT MAX("Front row starts") FROM table_38268 WHERE "Driver" = 'alain prost'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3747, 357, 3651, 41, 96, 20982, 52, 121, 1499, 6, 96, 134, 15, 9, 739, 121, 1499, 6, 96, 16924, 2593, 121, 490, 6, 96, 371, 4438, 7358, 3511, 121, 490, 6, 96, 12988, 37...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 371, 4438, 7358, 3511, 8512, 21680, 953, 834, 3747, 357, 3651, 549, 17444, 427, 96, 20982, 52, 121, 3274, 3, 31, 138, 9, 77, 17074, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which sideline reporters worked alongside Frank Gifford and Dan Dierdorf?
CREATE TABLE table_name_17 (sideline_reporter_s_ VARCHAR, color_commentator_s_ VARCHAR)
SELECT sideline_reporter_s_ FROM table_name_17 WHERE color_commentator_s_ = "frank gifford and dan dierdorf"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 1583, 747, 834, 60, 1493, 49, 834, 7, 834, 584, 4280, 28027, 6, 945, 834, 287, 297, 1016, 834, 7, 834, 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, 0, 0, 0...
[ 3, 23143, 14196, 596, 747, 834, 60, 1493, 49, 834, 7, 834, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 945, 834, 287, 297, 1016, 834, 7, 834, 3274, 96, 89, 6254, 3, 122, 99, 2590, 11, 3, 3768, 67, 52, 8716, 121, 1, -100...
How many season numbers are there for the episodes written by Art Everett?
CREATE TABLE table_2226817_6 (no_in_season VARCHAR, written_by VARCHAR)
SELECT COUNT(no_in_season) FROM table_2226817_6 WHERE written_by = "Art Everett"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26144, 3651, 2517, 834, 948, 41, 29, 32, 834, 77, 834, 9476, 584, 4280, 28027, 6, 1545, 834, 969, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 774, 2302, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 29, 32, 834, 77, 834, 9476, 61, 21680, 953, 834, 26144, 3651, 2517, 834, 948, 549, 17444, 427, 1545, 834, 969, 3274, 96, 7754, 6381, 15, 17, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
give me the number of patients whose admission year is less than 2198 and drug name is valganciclovir?
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 procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2198" AND prescriptions.drug = "ValGANCIclovir"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7690, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 2118, 23, 26, 1499, 6, 5059, 715, 1499, 6, 5692, 1499, 6, 701, 834, 15129, 1499, 6, 3783, 1499, 6, 5798, 1499...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 7744, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7744, 7, 5, 8399, 51, 834, 23, 26, 549...
If the San Antonio de Lomerio municipality percentage is 5.480, what is the total percentage for the San Julian municipality?
CREATE TABLE table_19998428_3 ( san_julián_municipality___percentage_ VARCHAR, san_antonio_de_lomerío_municipality___percentage_ VARCHAR )
SELECT COUNT(san_julián_municipality___percentage_) FROM table_19998428_3 WHERE san_antonio_de_lomerío_municipality___percentage_ = "5.480"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 3264, 4608, 2577, 834, 519, 41, 3, 7, 152, 834, 354, 83, 23, 12916, 834, 11760, 3389, 10355, 834, 834, 834, 883, 3728, 545, 834, 584, 4280, 28027, 6, 3, 7, 152, 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, 2847, 17161, 599, 7, 152, 834, 354, 83, 23, 12916, 834, 11760, 3389, 10355, 834, 834, 834, 883, 3728, 545, 834, 61, 21680, 953, 834, 2294, 3264, 4608, 2577, 834, 519, 549, 17444, 427, 3, 7, 152, 834, 9, 6992, 23, ...
For what year was 100* runs happen?
CREATE TABLE table_name_45 ( year VARCHAR, runs VARCHAR )
SELECT year FROM table_name_45 WHERE runs = "100*"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 215, 584, 4280, 28027, 6, 3154, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 242, 125, 215, 47, 910, 1935, 3154, 1837, 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, 215, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 3154, 3274, 96, 2915, 1935, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which driver earned 32 points from the Andretti Green team?
CREATE TABLE table_47090 ( "Fin. Pos" text, "Car No." text, "Driver" text, "Team" text, "Laps" text, "Time/Retired" text, "Grid" text, "Laps Led" text, "Points" text )
SELECT "Driver" FROM table_47090 WHERE "Team" = 'andretti green' AND "Points" = '32'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27760, 2394, 41, 96, 371, 77, 5, 13995, 121, 1499, 6, 96, 6936, 465, 535, 1499, 6, 96, 20982, 52, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 3612, 102, 7, 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, 20982, 52, 121, 21680, 953, 834, 27760, 2394, 549, 17444, 427, 96, 18699, 121, 3274, 3, 31, 232, 52, 10652, 1442, 31, 3430, 96, 22512, 7, 121, 3274, 3, 31, 2668, 31, 1, -100, -100, -100, -100, -100, -100, -100...
What seat does Gubernia Warszawska hold?
CREATE TABLE table_11614581_3 (seat VARCHAR, name_in_polish VARCHAR)
SELECT seat FROM table_11614581_3 WHERE name_in_polish = "Gubernia warszawska"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20159, 20987, 4959, 834, 519, 41, 7, 1544, 584, 4280, 28027, 6, 564, 834, 77, 834, 15621, 107, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 3143, 405, 2846, 1152...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3143, 21680, 953, 834, 20159, 20987, 4959, 834, 519, 549, 17444, 427, 564, 834, 77, 834, 15621, 107, 3274, 96, 517, 14659, 29, 23, 9, 615, 7, 1629, 210, 10717, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
what is the record when the game is 13?
CREATE TABLE table_name_17 ( record VARCHAR, game VARCHAR )
SELECT record FROM table_name_17 WHERE game = 13
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 1368, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 1368, 116, 8, 467, 19, 1179, 58, 1, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 467, 3274, 1179, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is Kent Patterson's nationality?
CREATE TABLE table_name_60 ( nationality VARCHAR, player VARCHAR )
SELECT nationality FROM table_name_60 WHERE player = "kent patterson"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 1157, 485, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 14599, 31014, 31, 7, 1157, 485, 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, 1157, 485, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 1959, 3274, 96, 2217, 17, 6234, 17, 13515, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the most for first season in the serie a for 7 de octubre
CREATE TABLE table_73678 ( "Club" text, "Home city" text, "Stadium" text, "First season in the Serie A" real, "First season in current spell" real, "Last title" text )
SELECT MAX("First season in the Serie A") FROM table_73678 WHERE "Stadium" = '7 de Octubre'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 3420, 3940, 41, 96, 254, 11158, 121, 1499, 6, 96, 19040, 690, 121, 1499, 6, 96, 134, 17, 9, 12925, 121, 1499, 6, 96, 25171, 774, 16, 8, 3, 12106, 71, 121, 490, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 25171, 774, 16, 8, 3, 12106, 71, 8512, 21680, 953, 834, 940, 3420, 3940, 549, 17444, 427, 96, 134, 17, 9, 12925, 121, 3274, 3, 31, 940, 20, 6416, 76, 1999, 31, 1, -100, -100, -100, -100, -100,...
who ended runner-up to sankar adhi?
CREATE TABLE table_2704 ( "Constituency" text, "Winner" text, "Party" text, "Margin" real, "Runner-up a" text, "Party a" text )
SELECT "Runner-up a" FROM table_2704 WHERE "Winner" = 'Sankar Adhi'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 17485, 591, 41, 96, 4302, 2248, 17, 76, 4392, 121, 1499, 6, 96, 18455, 687, 121, 1499, 6, 96, 13725, 63, 121, 1499, 6, 96, 7286, 122, 77, 121, 490, 6, 96, 23572, 18, 41...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 23572, 18, 413, 3, 9, 121, 21680, 953, 834, 17485, 591, 549, 17444, 427, 96, 18455, 687, 121, 3274, 3, 31, 134, 152, 4031, 1980, 107, 23, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which publisher is responsible for spec ops: stealth patrol?
CREATE TABLE table_name_19 ( publisher VARCHAR, name VARCHAR )
SELECT publisher FROM table_name_19 WHERE name = "spec ops: stealth patrol"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 14859, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 14859, 19, 1966, 21, 3, 7576, 3, 9280, 10, 11332, 189, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 14859, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 564, 3274, 96, 7576, 3, 9280, 10, 11332, 189, 20404, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who directed the episodes that aired December 15, 1956?
CREATE TABLE table_28110 ( "Series #" real, "Season #" real, "Title" text, "Director" text, "Writer(s)" text, "Airdate" text )
SELECT "Director" FROM table_28110 WHERE "Airdate" = 'December 15, 1956'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 19277, 41, 96, 12106, 7, 1713, 121, 490, 6, 96, 134, 15, 9, 739, 1713, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 127, 121, 1499, 6, 96, 24965, 49, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 23620, 127, 121, 21680, 953, 834, 2577, 19277, 549, 17444, 427, 96, 20162, 5522, 121, 3274, 3, 31, 29835, 10725, 22951, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the losses in the NFL in the 2011 season with less than 13 wins?
CREATE TABLE table_name_81 (losses INTEGER, wins VARCHAR, league VARCHAR, season VARCHAR)
SELECT AVG(losses) FROM table_name_81 WHERE league = "nfl" AND season = 2011 AND wins < 13
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 2298, 2260, 3, 21342, 17966, 6, 9204, 584, 4280, 28027, 6, 5533, 584, 4280, 28027, 6, 774, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 2298, 2260, 61, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 5533, 3274, 96, 29, 89, 40, 121, 3430, 774, 3274, 2722, 3430, 9204, 3, 2, 1179, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many airports are there in each country?
CREATE TABLE airport (country VARCHAR)
SELECT COUNT(*), country FROM airport GROUP BY country
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3761, 41, 17529, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 149, 186, 3761, 7, 33, 132, 16, 284, 684, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 201, 684, 21680, 3761, 350, 4630, 6880, 272, 476, 684, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the shooting preference of Matthew Myers, acquired in 2010?
CREATE TABLE table_name_99 ( shoots VARCHAR, acquired VARCHAR, player VARCHAR )
SELECT shoots FROM table_name_99 WHERE acquired = 2010 AND player = "matthew myers"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 4279, 7, 584, 4280, 28027, 6, 7347, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 5262, 11633, 13, 977...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4279, 7, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 7347, 3274, 2735, 3430, 1959, 3274, 96, 3357, 532, 210, 82, 277, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What percentage of users were using Safari during the period in which 30.82% were using Firefox?
CREATE TABLE table_66074 ( "Period" text, "Internet Explorer" text, "Firefox" text, "Chrome" text, "Safari" text, "Opera" text, "Other Mozilla" text, "Mobile" text )
SELECT "Safari" FROM table_66074 WHERE "Firefox" = '30.82%'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27720, 4581, 41, 96, 12988, 23, 32, 26, 121, 1499, 6, 96, 22912, 15762, 121, 1499, 6, 96, 3183, 60, 20400, 121, 1499, 6, 96, 3541, 11956, 121, 1499, 6, 96, 134, 9, 5544, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9, 5544, 23, 121, 21680, 953, 834, 27720, 4581, 549, 17444, 427, 96, 3183, 60, 20400, 121, 3274, 3, 31, 519, 22384, 5406, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
what is the least floors when the building type is residential and the sr no is 8?
CREATE TABLE table_name_79 ( floors INTEGER, building_type VARCHAR, sr_no VARCHAR )
SELECT MIN(floors) FROM table_name_79 WHERE building_type = "residential" AND sr_no = 8
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 8242, 3, 21342, 17966, 6, 740, 834, 6137, 584, 4280, 28027, 6, 3, 7, 52, 834, 29, 32, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 19...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 3, 17684, 599, 20924, 7, 61, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 740, 834, 6137, 3274, 96, 15704, 23, 138, 121, 3430, 3, 7, 52, 834, 29, 32, 3274, 505, 1, -100, -100, -100, -100, -100, -100, -100, ...
What is the average number played that has fewer than 11 wins, more than 42 goals, more than 22 points, and 11 losses?
CREATE TABLE table_name_91 (played INTEGER, losses VARCHAR, points VARCHAR, wins VARCHAR, goals_for VARCHAR)
SELECT AVG(played) FROM table_name_91 WHERE wins < 11 AND goals_for > 42 AND points > 22 AND losses = 11
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 4895, 15, 26, 3, 21342, 17966, 6, 8467, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 6, 1766, 834, 1161, 584, 4280, 28027, 61...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 4895, 15, 26, 61, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 9204, 3, 2, 850, 3430, 1766, 834, 1161, 2490, 6426, 3430, 979, 2490, 1630, 3430, 8467, 3274, 850, 1, -100, -100, -100, -100, -100,...
What is the total number of years active listings where Asian Cup played as a captain is Japan 1992?
CREATE TABLE table_3726 ( "#" real, "Matches As Captain" text, "Player" text, "Asian Cup Played As A Captain" text, "Years Active" text, "Caps(Goals)" text )
SELECT COUNT("Years Active") FROM table_3726 WHERE "Asian Cup Played As A Captain" = 'Japan 1992'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4118, 2688, 41, 96, 4663, 121, 490, 6, 96, 329, 144, 2951, 282, 12202, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 188, 10488, 3802, 2911, 15, 26, 282, 71, 12202, 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, 121, 476, 2741, 7, 11383, 8512, 21680, 953, 834, 4118, 2688, 549, 17444, 427, 96, 188, 10488, 3802, 2911, 15, 26, 282, 71, 12202, 121, 3274, 3, 31, 683, 9, 2837, 9047, 31, 1, -100, -100, -100, -1...
Who were the candidates in the district won by the incumbent Del Latta?
CREATE TABLE table_1341690_35 (candidates VARCHAR, incumbent VARCHAR)
SELECT candidates FROM table_1341690_35 WHERE incumbent = "Del Latta"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23747, 2938, 2394, 834, 2469, 41, 1608, 12416, 6203, 584, 4280, 28027, 6, 28406, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 130, 8, 4341, 16, 8, 3939, 751, 57...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4341, 21680, 953, 834, 23747, 2938, 2394, 834, 2469, 549, 17444, 427, 28406, 3274, 96, 2962, 40, 301, 14748, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who won on 3 june?
CREATE TABLE table_name_35 ( winner VARCHAR, date VARCHAR )
SELECT winner FROM table_name_35 WHERE date = "3 june"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 4668, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 751, 30, 220, 3, 6959, 15, 58, 1, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4668, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 833, 3274, 96, 519, 3, 6959, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
what belt would a practitioner receive next after completing the 10th kyu ?
CREATE TABLE table_203_392 ( id number, "rank" text, "belt alternate 1" text, "belt alternate 2" text, "belt alternate 3" text, "belt alternate 4" text )
SELECT "belt alternate 1" FROM table_203_392 WHERE "rank" = '10th kyu'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 3288, 357, 41, 3, 23, 26, 381, 6, 96, 6254, 121, 1499, 6, 96, 2370, 17, 13902, 209, 121, 1499, 6, 96, 2370, 17, 13902, 204, 121, 1499, 6, 96, 2370, 17, 1390...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2370, 17, 13902, 209, 121, 21680, 953, 834, 23330, 834, 3288, 357, 549, 17444, 427, 96, 6254, 121, 3274, 3, 31, 1714, 189, 3, 3781, 76, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score when 43,746 attended?
CREATE TABLE table_name_50 (score VARCHAR, attendance VARCHAR)
SELECT score FROM table_name_50 WHERE attendance = "43,746"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 7, 9022, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 2604, 116, 8838, 6, 940, 4448, 5526, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 11364, 3274, 96, 4906, 6, 940, 4448, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the production code for episode 15 in season 3?
CREATE TABLE table_16581695_4 (production_code VARCHAR, no_in_season VARCHAR)
SELECT production_code FROM table_16581695_4 WHERE no_in_season = "15"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 3449, 2938, 3301, 834, 591, 41, 20762, 834, 4978, 584, 4280, 28027, 6, 150, 834, 77, 834, 9476, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 999, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 999, 834, 4978, 21680, 953, 834, 2938, 3449, 2938, 3301, 834, 591, 549, 17444, 427, 150, 834, 77, 834, 9476, 3274, 96, 1808, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
provide the number of patients whose primary disease is coronary artery disease\coronary artery bypass graft with mvr; ? maze and procedure short title is ven cath renal dialysis?
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 ) 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 )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE" AND procedures.short_title = "Ven cath renal dialysis"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
what is the country for fabiana beltrame?
CREATE TABLE table_name_56 (country VARCHAR, athlete VARCHAR)
SELECT country FROM table_name_56 WHERE athlete = "fabiana beltrame"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 17529, 584, 4280, 28027, 6, 17893, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 684, 21, 3, 12644, 13662, 6782, 2375, 15, 58, 1, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 17893, 3274, 96, 12644, 13662, 6782, 2375, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the latest year with a start of 3 and a finish of 40 for the morgan-mcclure team?
CREATE TABLE table_name_1 (year INTEGER, finish VARCHAR, start VARCHAR, team VARCHAR)
SELECT MAX(year) FROM table_name_1 WHERE start = "3" AND team = "morgan-mcclure" AND finish = "40"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 1201, 3, 21342, 17966, 6, 1992, 584, 4280, 28027, 6, 456, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 1201, 61, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 456, 3274, 96, 519, 121, 3430, 372, 3274, 96, 51, 11127, 18, 51, 75, 10562, 60, 121, 3430, 1992, 3274, 96, 2445, 121, 1, -100, -100, -100, ...
Which allergy type has most number of allergies?
CREATE TABLE Allergy_type (allergytype VARCHAR)
SELECT allergytype FROM Allergy_type GROUP BY allergytype ORDER BY COUNT(*) DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 432, 49, 122, 63, 834, 6137, 41, 11211, 122, 63, 6137, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 23886, 686, 65, 167, 381, 13, 18500, 58, 1, 0, 0, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 23886, 6137, 21680, 432, 49, 122, 63, 834, 6137, 350, 4630, 6880, 272, 476, 23886, 6137, 4674, 11300, 272, 476, 2847, 17161, 599, 1935, 61, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -1...
What was the highest match when the away opponent was Dalian Shide Siwu?
CREATE TABLE table_name_53 (match INTEGER, opponent_team VARCHAR, home_away VARCHAR)
SELECT MAX(match) FROM table_name_53 WHERE opponent_team = "dalian shide siwu" AND home_away = "away"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 19515, 3, 21342, 17966, 6, 15264, 834, 11650, 584, 4280, 28027, 6, 234, 834, 8006, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 2030,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 19515, 61, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 15264, 834, 11650, 3274, 96, 26, 9, 9928, 3, 5605, 221, 108, 210, 76, 121, 3430, 234, 834, 8006, 3274, 96, 8006, 121, 1, -100, -100, -100...
Who had the most assists in the game that led to a 3-7 record?
CREATE TABLE table_76865 ( "Game" real, "Date" text, "Opponent" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location/Attendance" text, "Record" text )
SELECT "High assists" FROM table_76865 WHERE "Record" = '3-7'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3959, 3840, 755, 41, 96, 23055, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 21417, 979, 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, 21417, 13041, 121, 21680, 953, 834, 3959, 3840, 755, 549, 17444, 427, 96, 1649, 7621, 121, 3274, 3, 31, 519, 6832, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Draw a pie chart for what are the names and prices of products that cost at least 180, sorted by price decreasing and name ascending?
CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER ) CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL )
SELECT Name, Price FROM Products WHERE Price >= 180 ORDER BY Price DESC, Name
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7554, 41, 3636, 3, 21342, 17966, 6, 5570, 584, 4280, 28027, 599, 25502, 201, 5312, 3396, 254, 26330, 434, 6, 15248, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 5570, 6, 5312, 21680, 7554, 549, 17444, 427, 5312, 2490, 2423, 8003, 4674, 11300, 272, 476, 5312, 309, 25067, 6, 5570, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the winning score of the match with a margin of 3 strokes?
CREATE TABLE table_name_39 (winning_score VARCHAR, margin VARCHAR)
SELECT winning_score FROM table_name_39 WHERE margin = "3 strokes"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 8163, 834, 7, 9022, 584, 4280, 28027, 6, 6346, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 3447, 2604, 13, 8, 1588, 28, 3, 9, 63...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3447, 834, 7, 9022, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 6346, 3274, 96, 519, 9529, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many Bronze medals did Switzerland with less than 3 Silver medals receive?
CREATE TABLE table_name_75 (bronze INTEGER, nation VARCHAR, silver VARCHAR)
SELECT MIN(bronze) FROM table_name_75 WHERE nation = "switzerland" AND silver < 3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 13711, 776, 3, 21342, 17966, 6, 2982, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 20841, 9365, 7, 410, 1252...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 13711, 776, 61, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 2982, 3274, 96, 7, 15686, 15, 7721, 121, 3430, 4294, 3, 2, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the opposing team when the scorer was ronaldinho 90+3'?
CREATE TABLE table_name_37 (opponent_team VARCHAR, scorers VARCHAR)
SELECT opponent_team FROM table_name_37 WHERE scorers = "ronaldinho 90+3'"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4118, 41, 32, 102, 9977, 834, 11650, 584, 4280, 28027, 6, 14056, 277, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 10720, 53, 372, 116, 8, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 834, 11650, 21680, 953, 834, 4350, 834, 4118, 549, 17444, 427, 14056, 277, 3274, 96, 52, 9533, 26, 23738, 2777, 1220, 519, 31, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is player 1 when player 3 is South and the prevailing wind is South?
CREATE TABLE table_26853172_1 (player_1 VARCHAR, player_3 VARCHAR, prevailing_wind VARCHAR)
SELECT player_1 FROM table_26853172_1 WHERE player_3 = "South" AND prevailing_wind = "South"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 4433, 3341, 5865, 834, 536, 41, 20846, 834, 536, 584, 4280, 28027, 6, 1959, 834, 519, 584, 4280, 28027, 6, 3, 29370, 834, 5165, 584, 4280, 28027, 61, 3, 32102, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 1959, 834, 536, 21680, 953, 834, 2688, 4433, 3341, 5865, 834, 536, 549, 17444, 427, 1959, 834, 519, 3274, 96, 22081, 121, 3430, 3, 29370, 834, 5165, 3274, 96, 22081, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
meet criteria for either a ) amnestic mild cognitive impairment ( single or mixed domain ) or mild alzheimer's disease, or b ) have no cognitive impairment, based on history, exam, neuropsychological testing, and consensus diagnosis. mci and mild ad patients must have clinical dementia rating scale score of 0.5 or 1. unimpaired subjects must have clinical dementia rating scale score of 0.
CREATE TABLE table_train_125 ( "id" int, "carotid_stenosis" int, "pulmonary_disease" bool, "neurodegenerative_disease" bool, "active_infection" bool, "skin_cancer" bool, "heart_disease" bool, "clinical_dementia_rating_scale" float, "renal_disease" bool, "cerebrovascular_disease" bool, "hepatic_disease" bool, "breast_cancer" bool, "urinary_tract" bool, "prostate_cancer" bool, "coronary_insufficiency" bool, "cardiovascular_disease" bool, "peptic_ulcer_disease" bool, "immune_deficiency_disorder" bool, "hematologic_disease" bool, "neoplastic" bool, "amnestic_mild_cognitive_impairment" bool, "alzheimer_disease_ad" bool, "gastrointestinal_disease" bool, "cancer" bool, "endocrine_disease" bool, "cognitive_impairment" bool, "neurological_disease" bool, "parkinson_disease" bool, "other_disorder" bool, "lewy_body_dementia" bool, "NOUSE" float )
SELECT * FROM table_train_125 WHERE ((amnestic_mild_cognitive_impairment = 1 OR alzheimer_disease_ad = 1) AND (clinical_dementia_rating_scale = 0.5 OR clinical_dementia_rating_scale = 1)) OR (cognitive_impairment = 0 AND clinical_dementia_rating_scale = 0)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9719, 834, 10124, 41, 96, 23, 26, 121, 16, 17, 6, 96, 658, 2719, 23, 26, 834, 1913, 32, 7, 159, 121, 16, 17, 6, 96, 26836, 834, 26, 159, 14608, 121, 3, 12840, 40, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1429, 21680, 953, 834, 9719, 834, 10124, 549, 17444, 427, 41, 599, 265, 1496, 1225, 834, 51, 173, 26, 834, 75, 12905, 3268, 834, 23, 1167, 2256, 297, 3274, 209, 4674, 491, 172, 3254, 49, 834, 26, 159, 14608, 834, ...