NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
How many million U.S. viewers watched the epiode with a production code of 1arc12?
CREATE TABLE table_27979 ( "No. in series" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" text, "U.S. viewers (million)" text )
SELECT "U.S. viewers (million)" FROM table_27979 WHERE "Production code" = '1ARC12'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4440, 4440, 41, 96, 4168, 5, 16, 939, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 24965, 324, 57, 121, 1499, 6, 96, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 1265, 5, 134, 5, 13569, 41, 17030, 61, 121, 21680, 953, 834, 357, 4440, 4440, 549, 17444, 427, 96, 3174, 8291, 1081, 121, 3274, 3, 31, 536, 18971, 2122, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the date of the premiere that had a 20.9 rating?
CREATE TABLE table_name_38 (premiere VARCHAR, rating VARCHAR)
SELECT premiere FROM table_name_38 WHERE rating = "20.9"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 2026, 2720, 60, 584, 4280, 28027, 6, 5773, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 833, 13, 8, 13539, 24, 141, 3, 9, 204, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 13539, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 5773, 3274, 96, 357, 23758, 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 episodes were written by david j. north & janet tamaro?
CREATE TABLE table_27969432_3 (original_air_date VARCHAR, written_by VARCHAR)
SELECT COUNT(original_air_date) FROM table_27969432_3 WHERE written_by = "David J. North & Janet Tamaro"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 4314, 4240, 2668, 834, 519, 41, 21878, 834, 2256, 834, 5522, 584, 4280, 28027, 6, 1545, 834, 969, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 13562, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 21878, 834, 2256, 834, 5522, 61, 21680, 953, 834, 2555, 4314, 4240, 2668, 834, 519, 549, 17444, 427, 1545, 834, 969, 3274, 96, 308, 9, 6961, 446, 5, 1117, 3, 184, 8158, 17, 10903, 291, 32, 121, 1...
Who is the 1st member elected in 1620/21?
CREATE TABLE table_name_82 (elected VARCHAR)
SELECT 1 AS st_member FROM table_name_82 WHERE elected = "1620/21"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 19971, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 19, 8, 209, 7, 17, 1144, 8160, 16, 898, 1755, 87, 2658, 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, 209, 6157, 3, 7, 17, 834, 12066, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 8160, 3274, 96, 2938, 1755, 87, 2658, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and the average of revenue , and group by attribute name, show x axis in descending 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, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 15248, 7, 41, 3636, 3, 21342, 17966, 6, 5570, 584, 4280, 28027, 599, 25502, 201, 3642, 19973, 584, 4280, 28027, 599, 25502, 201, 3, 19145, 584, 4280, 28027, 599, 25502, 201, 19764, 17833...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 4416, 23954, 6, 332, 4416, 1649, 15098, 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, 4...
Name the name for desha
CREATE TABLE table_25794010_1 (name VARCHAR, county VARCHAR)
SELECT name FROM table_25794010_1 WHERE county = "Desha"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 4440, 2445, 1714, 834, 536, 41, 4350, 584, 4280, 28027, 6, 5435, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 564, 21, 93, 1024, 1, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 564, 21680, 953, 834, 1828, 4440, 2445, 1714, 834, 536, 549, 17444, 427, 5435, 3274, 96, 2962, 7, 1024, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Tell me the named after for diameter less than 19.2 and latitude more than -37.5 with longitude less than 67.3
CREATE TABLE table_56992 ( "Name" text, "Latitude" real, "Longitude" real, "Diameter (km)" real, "Named after" text )
SELECT "Named after" FROM table_56992 WHERE "Diameter (km)" < '19.2' AND "Latitude" > '-37.5' AND "Longitude" < '67.3'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4834, 3264, 357, 41, 96, 23954, 121, 1499, 6, 96, 3612, 6592, 121, 490, 6, 96, 434, 2444, 20341, 121, 490, 6, 96, 23770, 4401, 41, 5848, 61, 121, 490, 6, 96, 23954, 26, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 23954, 26, 227, 121, 21680, 953, 834, 4834, 3264, 357, 549, 17444, 427, 96, 23770, 4401, 41, 5848, 61, 121, 3, 2, 3, 31, 2294, 5, 357, 31, 3430, 96, 3612, 6592, 121, 2490, 3, 31, 3486, 15731, 31, 3430, 96, ...
How many students are older than average for each gender, and I want to show from high to low by the total number please.
CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) CREATE TABLE Has_amenity ( dormid INTEGER, amenid 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 Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER )
SELECT Sex, COUNT(*) FROM Student WHERE Age > (SELECT AVG(Age) FROM Student) GROUP BY Sex ORDER BY COUNT(*) DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6200, 51, 834, 9, 904, 485, 41, 183, 35, 23, 26, 3, 21342, 17966, 6, 183, 35, 485, 834, 4350, 584, 4280, 28027, 599, 1828, 61, 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, 679, 226, 6, 2847, 17161, 599, 1935, 61, 21680, 6341, 549, 17444, 427, 7526, 2490, 41, 23143, 14196, 71, 17217, 599, 188, 397, 61, 21680, 6341, 61, 350, 4630, 6880, 272, 476, 679, 226, 4674, 11300, 272, 476, 2847, 1...
What is every year where opponent in the final is John Mcenroe at Wimbledon?
CREATE TABLE table_23235767_1 ( year VARCHAR, opponent_in_the_final VARCHAR, championship VARCHAR )
SELECT year FROM table_23235767_1 WHERE opponent_in_the_final = "John McEnroe" AND championship = "Wimbledon"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 2773, 3436, 3708, 834, 536, 41, 215, 584, 4280, 28027, 6, 15264, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 6, 10183, 584, 4280, 28027, 3, 61, 3, 32102, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 215, 21680, 953, 834, 2773, 2773, 3436, 3708, 834, 536, 549, 17444, 427, 15264, 834, 77, 834, 532, 834, 12406, 3274, 96, 18300, 3038, 8532, 52, 32, 15, 121, 3430, 10183, 3274, 96, 518, 603, 2296, 2029, 121, 1, -100,...
What was the least amount of camp mates?
CREATE TABLE table_19293 ( "Series" text, "Presenters" text, "Start date" text, "End date" text, "Days in camp" real, "Camp mates" real, "Winner" text, "Highest viewers (millions)" text, "Lowest viewers (millions)" text, "Average viewers (millions)" text )
SELECT MIN("Camp mates") FROM table_19293
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 19978, 4271, 41, 96, 12106, 7, 121, 1499, 6, 96, 10572, 5277, 277, 121, 1499, 6, 96, 7681, 17, 833, 121, 1499, 6, 96, 8532, 26, 833, 121, 1499, 6, 96, 16803, 7, 16, 285...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 24626, 3, 11171, 8512, 21680, 953, 834, 19978, 4271, 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,...
Name the original air date for prod code 201
CREATE TABLE table_2322716_2 (original_air_dates VARCHAR, prod_code VARCHAR)
SELECT original_air_dates FROM table_2322716_2 WHERE prod_code = 201
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23188, 2555, 2938, 834, 357, 41, 21878, 834, 2256, 834, 5522, 7, 584, 4280, 28027, 6, 813, 26, 834, 4978, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 926, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 926, 834, 2256, 834, 5522, 7, 21680, 953, 834, 23188, 2555, 2938, 834, 357, 549, 17444, 427, 813, 26, 834, 4978, 3274, 3, 22772, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the report for an away team of Sydney Spirit and score of 96-87?
CREATE TABLE table_name_16 ( report VARCHAR, away_team VARCHAR, score VARCHAR )
SELECT report FROM table_name_16 WHERE away_team = "sydney spirit" AND score = "96-87"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 934, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 934, 21, 46, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 934, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 550, 834, 11650, 3274, 96, 7, 63, 26, 3186, 3564, 121, 3430, 2604, 3274, 96, 4314, 18, 4225, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What country has a score of 66-73-69=208?
CREATE TABLE table_name_69 (country VARCHAR, score VARCHAR)
SELECT country FROM table_name_69 WHERE score = 66 - 73 - 69 = 208
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 17529, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 684, 65, 3, 9, 2604, 13, 431, 25302, 25342, 1298, 2423, 23946...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 2604, 3274, 3, 3539, 3, 18, 3, 4552, 3, 18, 3, 3951, 3274, 3, 23946, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who is the incumbent of district pa-8?
CREATE TABLE table_4001 ( "District" text, "Incumbent" text, "Cook" text, "Rothenberg" text, "CQ Politics" text, "Crystal Ball" text )
SELECT "Incumbent" FROM table_4001 WHERE "District" = 'PA-8'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 5548, 536, 41, 96, 308, 23, 20066, 121, 1499, 6, 96, 1570, 75, 5937, 295, 121, 1499, 6, 96, 3881, 1825, 121, 1499, 6, 96, 448, 32, 189, 11063, 121, 1499, 6, 96, 254, 22...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 1570, 75, 5937, 295, 121, 21680, 953, 834, 5548, 536, 549, 17444, 427, 96, 308, 23, 20066, 121, 3274, 3, 31, 3965, 6039, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which player has an average of 38.22?
CREATE TABLE table_49938 ( "Player" text, "Team" text, "Matches" real, "Wickets" real, "Average" real, "Best Bowling" text )
SELECT "Player" FROM table_49938 WHERE "Average" = '38.22'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 3264, 3747, 41, 96, 15800, 49, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 329, 144, 2951, 121, 490, 6, 96, 518, 447, 8044, 7, 121, 490, 6, 96, 188, 624, 545, 121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 15800, 49, 121, 21680, 953, 834, 591, 3264, 3747, 549, 17444, 427, 96, 188, 624, 545, 121, 3274, 3, 31, 3747, 5, 2884, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total brup for the team?
CREATE TABLE table_18064020_21 ( brup VARCHAR, name VARCHAR )
SELECT brup FROM table_18064020_21 WHERE name = "total"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20829, 23714, 1755, 834, 2658, 41, 6397, 413, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 792, 6397, 413, 21, 8, 372, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6397, 413, 21680, 953, 834, 20829, 23714, 1755, 834, 2658, 549, 17444, 427, 564, 3274, 96, 235, 1947, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For those records from the products and each product's manufacturer, show me about the distribution of name and the average of manufacturer , and group by attribute name in a bar chart, show in desc by the Y-axis please.
CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL ) CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER )
SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Manufacturer DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 15248, 7, 41, 3636, 3, 21342, 17966, 6, 5570, 584, 4280, 28027, 599, 25502, 201, 3642, 19973, 584, 4280, 28027, 599, 25502, 201, 3, 19145, 584, 4280, 28027, 599, 25502, 201, 19764, 17833...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 5411, 23954, 6, 332, 5411, 7296, 76, 8717, 450, 49, 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,...
Record of 11-10-3 is what sum of game #?
CREATE TABLE table_name_57 (game__number INTEGER, record VARCHAR)
SELECT SUM(game__number) FROM table_name_57 WHERE record = "11-10-3"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 7261, 834, 834, 5525, 1152, 3, 21342, 17966, 6, 1368, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 11392, 13, 850, 4536, 3486, 19, 125, 4505, 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, 180, 6122, 599, 7261, 834, 834, 5525, 1152, 61, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 1368, 3274, 96, 2596, 4536, 3486, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many tackle assists for the player who averages 23.7?
CREATE TABLE table_72955 ( "Name" text, "GP-GS" text, "Solo" real, "Ast" real, "Total" real, "TFL-Yds" text, "No-Yds" text, "BrUp" real, "QBH" real, "No.-Yds" text, "Avg" text, "TD" real, "Long" real, "Rcv-Yds" text, "FF" real, "Blkd Kick" real )
SELECT "Ast" FROM table_72955 WHERE "Avg" = '23.7'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 3166, 3769, 41, 96, 23954, 121, 1499, 6, 96, 8049, 18, 8256, 121, 1499, 6, 96, 5231, 40, 32, 121, 490, 6, 96, 188, 7, 17, 121, 490, 6, 96, 3696, 1947, 121, 490, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 188, 7, 17, 121, 21680, 953, 834, 940, 3166, 3769, 549, 17444, 427, 96, 188, 208, 122, 121, 3274, 3, 31, 357, 25168, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
For those employees who was hired before 2002-06-21, a bar chart shows the distribution of job_id and the average of employee_id , and group by attribute job_id, and rank by the X in asc.
CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) )
SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY JOB_ID
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 10521, 41, 3396, 19846, 11810, 834, 4309, 7908, 1982, 599, 8525, 632, 201, 3396, 19846, 11810, 834, 567, 17683, 3, 4331, 4059, 599, 1458, 201, 283, 15610, 17966, 834, 4309, 7908, 1982, 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, 446, 10539, 834, 4309, 6, 71, 17217, 599, 6037, 345, 5017, 476, 5080, 834, 4309, 61, 21680, 1652, 549, 17444, 427, 454, 14132, 834, 308, 6048, 3, 2, 3, 31, 24898, 18, 5176, 16539, 31, 350, 4630, 6880, 272, 476, 44...
which songs are produced by pillo jamel or juju .
CREATE TABLE table_203_353 ( id number, "#" number, "title" text, "producer(s)" text, "featured guest(s)" text, "time" text )
SELECT "title" FROM table_203_353 WHERE "producer(s)" IN ('pillo jamel', 'juju')
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 2469, 519, 41, 3, 23, 26, 381, 6, 96, 4663, 121, 381, 6, 96, 21869, 121, 1499, 6, 96, 1409, 4817, 49, 599, 7, 61, 121, 1499, 6, 96, 30844, 26, 3886, 599, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 21869, 121, 21680, 953, 834, 23330, 834, 2469, 519, 549, 17444, 427, 96, 1409, 4817, 49, 599, 7, 61, 121, 3388, 41, 31, 102, 1092, 32, 2662, 2341, 31, 6, 3, 31, 2047, 2047, 31, 61, 1, -100, -100, -100, -100,...
at what time was the patient with patient id 6983 admitted in hospital?
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT demographic.admittime FROM demographic WHERE demographic.subject_id = "6983"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 18730, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 14798, 5, 20466, 17, 715, 21680, 14798, 549, 17444, 427, 14798, 5, 7304, 11827, 834, 23, 26, 3274, 96, 3951, 4591, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many directors of episode 55?
CREATE TABLE table_28049 ( "Series no." real, "No. in season" real, "Title" text, "Written by" text, "Directed by" text, "Original air date" text )
SELECT COUNT("Directed by") FROM table_28049 WHERE "Series no." = '55'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 17518, 3647, 41, 96, 12106, 7, 150, 535, 490, 6, 96, 4168, 5, 16, 774, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 24965, 324, 57, 121, 1499, 6, 96, 23620, 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, 2847, 17161, 599, 121, 23620, 15, 26, 57, 8512, 21680, 953, 834, 17518, 3647, 549, 17444, 427, 96, 12106, 7, 150, 535, 3274, 3, 31, 3769, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who was the home team at the game held at the Junction Oval?
CREATE TABLE table_33247 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT "Home team" FROM table_33247 WHERE "Venue" = 'junction oval'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 2668, 4177, 41, 96, 19040, 372, 121, 1499, 6, 96, 19040, 372, 2604, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 188, 1343, 372, 2604, 121, 1499, 6, 96, 553, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 19040, 372, 121, 21680, 953, 834, 519, 2668, 4177, 549, 17444, 427, 96, 553, 35, 76, 15, 121, 3274, 3, 31, 6959, 4985, 17986, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average of lost for place less than 10, less than 23 points, and goals conceded less than 26 for the Chorrillo team?
CREATE TABLE table_name_21 (lost INTEGER, goals_conceded VARCHAR, team VARCHAR, place VARCHAR, points VARCHAR)
SELECT AVG(lost) FROM table_name_21 WHERE place < 10 AND points < 23 AND team = "chorrillo" AND goals_conceded < 26
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 2298, 17, 3, 21342, 17966, 6, 1766, 834, 11620, 221, 26, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 286, 584, 4280, 28027, 6, 979, 584, 4280, 28027...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 286, 3, 2, 335, 3430, 979, 3, 2, 1902, 3430, 372, 3274, 96, 19220, 52, 1092, 32, 121, 3430, 1766, 834, 11620, 221, 26, 3, 2, 2208,...
What was the date of the game when the record of the series was 0 1?
CREATE TABLE table_name_10 ( date VARCHAR, series VARCHAR )
SELECT date FROM table_name_10 WHERE series = "0–1"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 833, 584, 4280, 28027, 6, 939, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 833, 13, 8, 467, 116, 8, 1368, 13, 8, 939, 47, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 939, 3274, 96, 632, 104, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
When is the earliest year in milan that guillermo vilas was champion?
CREATE TABLE table_71979 ( "Location" text, "Year" real, "Champion" text, "Runner-up" text, "Score" text )
SELECT MIN("Year") FROM table_71979 WHERE "Location" = 'milan' AND "Champion" = 'guillermo vilas'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 940, 2294, 4440, 41, 96, 434, 32, 75, 257, 121, 1499, 6, 96, 476, 2741, 121, 490, 6, 96, 254, 1483, 12364, 121, 1499, 6, 96, 23572, 18, 413, 121, 1499, 6, 96, 134, 9022...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 476, 2741, 8512, 21680, 953, 834, 940, 2294, 4440, 549, 17444, 427, 96, 434, 32, 75, 257, 121, 3274, 3, 31, 26759, 29, 31, 3430, 96, 254, 1483, 12364, 121, 3274, 3, 31, 1744, 7613, 51, 32, 3,...
What is the defective year for the eighth numbered month?
CREATE TABLE table_28985631_1 (defective_year VARCHAR, numbered_month VARCHAR)
SELECT defective_year FROM table_28985631_1 WHERE numbered_month = "Eighth"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3916, 4834, 3341, 834, 536, 41, 221, 4075, 757, 834, 1201, 584, 4280, 28027, 6, 3, 22412, 834, 7393, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 24701, 834, 1201, 21680, 953, 834, 2577, 3916, 4834, 3341, 834, 536, 549, 17444, 427, 3, 22412, 834, 7393, 3274, 96, 427, 2632, 107, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
how many times was the high rebounds by Mcdyess (9) and the high assists was by Billups (10)?
CREATE TABLE table_17311 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Record" text )
SELECT COUNT("High points") FROM table_17311 WHERE "High rebounds" = 'McDyess (9)' AND "High assists" = 'Billups (10)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 519, 2596, 41, 96, 23055, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 21417, 979, 121, 1499, 6, 96, 21417, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 21417, 979, 8512, 21680, 953, 834, 2517, 519, 2596, 549, 17444, 427, 96, 21417, 3, 23768, 121, 3274, 3, 31, 329, 75, 308, 10070, 7, 41, 11728, 31, 3430, 96, 21417, 13041, 121, 3274, 3, 31, 2...
What is Crows' Feat's production number?
CREATE TABLE table_name_49 ( production_number VARCHAR, title VARCHAR )
SELECT production_number FROM table_name_49 WHERE title = "crows' feat"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 999, 834, 5525, 1152, 584, 4280, 28027, 6, 2233, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 15343, 7, 31, 4163, 144, 31, 7, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 999, 834, 5525, 1152, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 2233, 3274, 96, 75, 3623, 7, 31, 20906, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the largest amount of assists juan ignacio sánchez ever had?
CREATE TABLE table_name_30 (assists INTEGER, name VARCHAR)
SELECT MAX(assists) FROM table_name_30 WHERE name = "juan ignacio sánchez"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 6500, 7, 17, 7, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 31, 7, 8, 2015, 866, 13, 13041, 3, 2047, 152, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 6500, 7, 17, 7, 61, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 564, 3274, 96, 2047, 152, 3, 3191, 4268, 32, 3, 7, 12916, 20095, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Find me the most popular topics since 2010.
CREATE TABLE torrents ( groupname text, totalsnatched number, artist text, groupyear number, releasetype text, groupid number, id number ) CREATE TABLE tags ( index number, id number, tag text )
SELECT T1.tag FROM torrents AS T2 JOIN tags AS T1 ON T1.id = T2.id WHERE T2.groupyear >= 2010 GROUP BY T1.tag ORDER BY T2.totalsnatched DESC LIMIT 10
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 23326, 7, 41, 563, 4350, 1499, 6, 792, 7, 29, 144, 4513, 381, 6, 2377, 1499, 6, 563, 1201, 381, 6, 1576, 6137, 1499, 6, 563, 23, 26, 381, 6, 3, 23, 26, 381, 3, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 5411, 2408, 21680, 23326, 7, 6157, 332, 357, 3, 15355, 3162, 12391, 6157, 332, 536, 9191, 332, 5411, 23, 26, 3274, 332, 4416, 23, 26, 549, 17444, 427, 332, 4416, 10739, 1201, 2490, 2423, 2735, 350, 4630, 6880, ...
Who was on 12 March 2000?
CREATE TABLE table_name_24 ( scorers VARCHAR, date VARCHAR )
SELECT scorers FROM table_name_24 WHERE date = "12 march 2000"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 14056, 277, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 30, 586, 1332, 2766, 58, 1, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 14056, 277, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 833, 3274, 96, 2122, 10556, 2766, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Find meter_600 and ID , and visualize them by a bar chart.
CREATE TABLE stadium ( ID int, name text, Capacity int, City text, Country text, Opening_year int ) CREATE TABLE event ( ID int, Name text, Stadium_ID int, Year text ) CREATE TABLE swimmer ( ID int, name text, Nationality text, meter_100 real, meter_200 text, meter_300 text, meter_400 text, meter_500 text, meter_600 text, meter_700 text, Time text ) CREATE TABLE record ( ID int, Result text, Swimmer_ID int, Event_ID int )
SELECT meter_600, ID FROM swimmer
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14939, 41, 4699, 16, 17, 6, 564, 1499, 6, 4000, 9, 6726, 16, 17, 6, 896, 1499, 6, 6993, 1499, 6, 20360, 834, 1201, 16, 17, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 4401, 834, 6007, 6, 4699, 21680, 27424, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is every value for % 20-39 if % 60-74 is 10,46%?
CREATE TABLE table_23606500_4 ( _percentage_20_39 VARCHAR, _percentage_60_74 VARCHAR )
SELECT _percentage_20_39 FROM table_23606500_4 WHERE _percentage_60_74 = "10,46%"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3420, 5176, 2560, 834, 591, 41, 3, 834, 883, 3728, 545, 834, 1755, 834, 3288, 584, 4280, 28027, 6, 3, 834, 883, 3728, 545, 834, 3328, 834, 4581, 584, 4280, 28027, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 834, 883, 3728, 545, 834, 1755, 834, 3288, 21680, 953, 834, 357, 3420, 5176, 2560, 834, 591, 549, 17444, 427, 3, 834, 883, 3728, 545, 834, 3328, 834, 4581, 3274, 96, 1714, 6, 591, 6370, 121, 1, -100, -100, -100...
what is subject name and age of subject id 2560?
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE 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 demographic.name, demographic.age FROM demographic WHERE demographic.subject_id = "2560"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 18730, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 14798, 5, 4350, 6, 14798, 5, 545, 21680, 14798, 549, 17444, 427, 14798, 5, 7304, 11827, 834, 23, 26, 3274, 96, 1828, 3328, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the directions for the guardian whose weapon is kha ga (sword)?
CREATE TABLE table_15902 ( "Name" text, "Direction" text, "Mantra" text, "Weapon" text, "Consort" text, "Graha (Planet)" text, "Guardian M\u0101t\u1e5bk\u0101" text )
SELECT "Direction" FROM table_15902 WHERE "Weapon" = 'Khaḍga (sword)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27904, 4305, 41, 96, 23954, 121, 1499, 6, 96, 23620, 23, 106, 121, 1499, 6, 96, 7296, 1313, 121, 1499, 6, 96, 1326, 9, 5041, 121, 1499, 6, 96, 4302, 9309, 121, 1499, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 23620, 23, 106, 121, 21680, 953, 834, 27904, 4305, 549, 17444, 427, 96, 1326, 9, 5041, 121, 3274, 3, 31, 439, 1024, 2, 122, 9, 41, 7, 6051, 61, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is General Classification Yellow Jersey that has a Murilo Antonio Fischer, and Lampre-Fondital?
CREATE TABLE table_name_74 ( general_classification_yellow_jersey VARCHAR, mountains_classification_green_jersey VARCHAR, team_classification VARCHAR )
SELECT general_classification_yellow_jersey FROM table_name_74 WHERE mountains_classification_green_jersey = "murilo antonio fischer" AND team_classification = "lampre-fondital"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 879, 834, 4057, 2420, 834, 63, 7126, 210, 834, 12488, 7, 15, 63, 584, 4280, 28027, 6, 8022, 834, 4057, 2420, 834, 9423, 834, 12488, 7, 15, 63, 584, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 879, 834, 4057, 2420, 834, 63, 7126, 210, 834, 12488, 7, 15, 63, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 8022, 834, 4057, 2420, 834, 9423, 834, 12488, 7, 15, 63, 3274, 96, 11054, 173, 32, 3, 9, 6992, ...
What was Derek Graham's time?
CREATE TABLE table_name_95 (time VARCHAR, name VARCHAR)
SELECT time FROM table_name_95 WHERE name = "derek graham"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 715, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 26004, 15146, 31, 7, 97, 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, 97, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 564, 3274, 96, 588, 15, 157, 3, 3484, 1483, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many years was the 400 m event in the olympic games?
CREATE TABLE table_name_28 (year VARCHAR, competition VARCHAR, event VARCHAR)
SELECT COUNT(year) FROM table_name_28 WHERE competition = "olympic games" AND event = "400 m"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 1201, 584, 4280, 28027, 6, 2259, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 203, 47, 8, 4837, 3, 51, 605,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1201, 61, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 2259, 3274, 96, 32, 120, 51, 6174, 1031, 121, 3430, 605, 3274, 96, 5548, 3, 51, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What Kerry number does Taylor county have with more than 65 others#?
CREATE TABLE table_name_64 ( kerry_number VARCHAR, county VARCHAR, others_number VARCHAR )
SELECT COUNT(kerry_number) FROM table_name_64 WHERE county = "taylor" AND others_number > 65
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 3, 2304, 651, 834, 5525, 1152, 584, 4280, 28027, 6, 5435, 584, 4280, 28027, 6, 717, 834, 5525, 1152, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 2304, 651, 834, 5525, 1152, 61, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 5435, 3274, 96, 17, 9, 63, 322, 121, 3430, 717, 834, 5525, 1152, 2490, 7123, 1, -100, -100, -100, -100, -100, -100...
Which engine was used in 1987?
CREATE TABLE table_name_89 ( engine VARCHAR, year VARCHAR )
SELECT engine FROM table_name_89 WHERE year = 1987
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 1948, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 1948, 47, 261, 16, 12701, 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, 1948, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 215, 3274, 12701, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What place had 14:11.15 as the performance?
CREATE TABLE table_66264 ( "Event" text, "Performance" text, "Athlete" text, "Nation" text, "Place" text, "Date" text )
SELECT "Place" FROM table_66264 WHERE "Performance" = '14:11.15'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3539, 26755, 41, 96, 427, 2169, 121, 1499, 6, 96, 12988, 2032, 663, 121, 1499, 6, 96, 188, 189, 1655, 15, 121, 1499, 6, 96, 567, 257, 121, 1499, 6, 96, 345, 11706, 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, 345, 11706, 121, 21680, 953, 834, 3539, 26755, 549, 17444, 427, 96, 12988, 2032, 663, 121, 3274, 3, 31, 2534, 10, 10032, 1808, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
count the number of patients whose primary disease is bowel obstruction?
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "BOWEL OBSTRUCTION"
[ 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, 549, 17444, 427, 14798, 5, 25930, 4844, 159, 3274, 96, 279, 15251, 3577, 3, 10539, 13733, 6463, 9562, 121, 1, -100, -100, -10...
For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of job_id and department_id , and sort in descending by the y axis.
CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) )
SELECT JOB_ID, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY DEPARTMENT_ID DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 10521, 41, 3396, 19846, 11810, 834, 4309, 7908, 1982, 599, 8525, 632, 201, 3396, 19846, 11810, 834, 567, 17683, 3, 4331, 4059, 599, 1458, 201, 283, 15610, 17966, 834, 4309, 7908, 1982, 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, 446, 10539, 834, 4309, 6, 3396, 19846, 11810, 834, 4309, 21680, 1652, 549, 17444, 427, 4486, 3396, 19846, 11810, 834, 4309, 3388, 41, 23143, 14196, 3396, 19846, 11810, 834, 4309, 21680, 10521, 549, 17444, 427, 283, 15610,...
What are the dates of birth of entrepreneurs with investor 'Simon Woodroffe' or 'Peter Jones'?
CREATE TABLE entrepreneur ( People_ID VARCHAR, Investor VARCHAR ) CREATE TABLE people ( Date_of_Birth VARCHAR, People_ID VARCHAR )
SELECT T2.Date_of_Birth FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor = "Simon Woodroffe" OR T1.Investor = "Peter Jones"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3, 12290, 41, 2449, 834, 4309, 584, 4280, 28027, 6, 16873, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 151, 41, 7678, 834, 858, 834, 279, 23, 52, 18...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 4416, 308, 342, 834, 858, 834, 279, 23, 52, 189, 21680, 3, 12290, 6157, 332, 536, 3, 15355, 3162, 151, 6157, 332, 357, 9191, 332, 5411, 24337, 834, 4309, 3274, 332, 4416, 24337, 834, 4309, 549, 17444, 427, 332,...
What is the total number of Entered when the eliminated number is 3?
CREATE TABLE table_name_53 (entered VARCHAR, eliminated VARCHAR)
SELECT COUNT(entered) FROM table_name_53 WHERE eliminated = "3"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 35, 11196, 584, 4280, 28027, 6, 17809, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 792, 381, 13, 695, 11196, 116, 8, 17809, 381, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 35, 11196, 61, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 17809, 3274, 96, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the Set 3 with a Date of 04 oct, and a Set 2 with 15 5?
CREATE TABLE table_name_33 ( set_3 VARCHAR, date VARCHAR, set_2 VARCHAR )
SELECT set_3 FROM table_name_33 WHERE date = "04 oct" AND set_2 = "15–5"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 356, 834, 519, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 6, 356, 834, 357, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2821, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 356, 834, 519, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 833, 3274, 96, 6348, 3, 32, 75, 17, 121, 3430, 356, 834, 357, 3274, 96, 1808, 104, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What venue features hawthorn as the away team?
CREATE TABLE table_name_64 ( venue VARCHAR, away_team VARCHAR )
SELECT venue FROM table_name_64 WHERE away_team = "hawthorn"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 5669, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 5669, 753, 4244, 210, 17, 6293, 38, 8, 550, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5669, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 550, 834, 11650, 3274, 96, 1024, 210, 17, 6293, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Tell me the block A for antonio thomas of kondo (13:24)
CREATE TABLE table_name_85 (block_a VARCHAR, antonio_thomas VARCHAR)
SELECT block_a FROM table_name_85 WHERE antonio_thomas = "kondo (13:24)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 10734, 834, 9, 584, 4280, 28027, 6, 3, 9, 6992, 23, 32, 834, 189, 32, 2754, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 8779, 140, 8, 2463, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2463, 834, 9, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 3, 9, 6992, 23, 32, 834, 189, 32, 2754, 3274, 96, 157, 17381, 41, 2368, 10, 2266, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What Haydon had a 33 Ben-Tahir?
CREATE TABLE table_57573 ( "Ward" text, "Bello" text, "Ben-Tahir" text, "Doucet" text, "Furtenbacher" text, "Gauthier" text, "Haydon" text, "Larter" text, "Lawrance" text, "Libweshya" text, "Liscumb" text )
SELECT "Haydon" FROM table_57573 WHERE "Ben-Tahir" = '33'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3436, 3436, 519, 41, 96, 21032, 26, 121, 1499, 6, 96, 279, 7126, 121, 1499, 6, 96, 279, 35, 18, 382, 9, 9288, 121, 1499, 6, 96, 4135, 76, 9113, 121, 1499, 6, 96, 371, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 566, 9, 63, 2029, 121, 21680, 953, 834, 3436, 3436, 519, 549, 17444, 427, 96, 279, 35, 18, 382, 9, 9288, 121, 3274, 3, 31, 4201, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many breadth entries are there when the vessel is marianarray?
CREATE TABLE table_28132970_5 (breadth VARCHAR, vessel VARCHAR)
SELECT COUNT(breadth) FROM table_28132970_5 WHERE vessel = "Marianarray"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2368, 3166, 2518, 834, 755, 41, 20517, 189, 584, 4280, 28027, 6, 12662, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 4109, 189, 10066, 33, 132, 116, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 20517, 189, 61, 21680, 953, 834, 2577, 2368, 3166, 2518, 834, 755, 549, 17444, 427, 12662, 3274, 96, 329, 6855, 10116, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
provide the number of patients whose death status is 1 and diagnoses short title is proteus infection nos?
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE 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 WHERE demographic.expire_flag = "1" AND diagnoses.short_title = "Proteus infection NOS"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14798, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 564, 1499, 6, 2774, 1947, 834, 8547, 302, 1499, 6, 1246, 1499, 6, 103, 115, 1499, 6, 7285, 1499, 6, 1612, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 5...
What is the highest Total, when Season is '1996-97', and when Second is less than 33?
CREATE TABLE table_name_23 ( total INTEGER, season VARCHAR, second VARCHAR )
SELECT MAX(total) FROM table_name_23 WHERE season = "1996-97" AND second < 33
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 792, 3, 21342, 17966, 6, 774, 584, 4280, 28027, 6, 511, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2030, 9273, 6, 116, 7960, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 235, 1947, 61, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 774, 3274, 96, 2294, 4314, 18, 4327, 121, 3430, 511, 3, 2, 5400, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What position did the player play who weighed less thna 91 kg and was born on March 5, 1977?
CREATE TABLE table_name_6 ( position VARCHAR, weight__kg_ VARCHAR, birthdate VARCHAR )
SELECT position FROM table_name_6 WHERE weight__kg_ < 91 AND birthdate = "march 5, 1977"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 1102, 584, 4280, 28027, 6, 1293, 834, 834, 8711, 834, 584, 4280, 28027, 6, 3879, 5522, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 1102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1102, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 1293, 834, 834, 8711, 834, 3, 2, 3, 4729, 3430, 3879, 5522, 3274, 96, 51, 7064, 7836, 16433, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the lowest Cuts made that has a Tournament of PGA Championship, and has a Top-5 that is smaller than 2?
CREATE TABLE table_name_50 ( cuts_made INTEGER, tournament VARCHAR, top_5 VARCHAR )
SELECT MIN(cuts_made) FROM table_name_50 WHERE tournament = "pga championship" AND top_5 < 2
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 8620, 834, 4725, 3, 21342, 17966, 6, 5892, 584, 4280, 28027, 6, 420, 834, 755, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 7402...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 3044, 7, 834, 4725, 61, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 5892, 3274, 96, 102, 122, 9, 10183, 121, 3430, 420, 834, 755, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
Which competition took place at Stade Fernand Fournier, Arles?
CREATE TABLE table_name_51 (competition VARCHAR, venue VARCHAR)
SELECT competition FROM table_name_51 WHERE venue = "stade fernand fournier, arles"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 287, 4995, 4749, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 2259, 808, 286, 44, 472, 9, 221, 12225, 232, 5933,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2259, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 5669, 3274, 96, 2427, 221, 3, 8377, 232, 14847, 49, 6, 1584, 965, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the highest rank of the day with a gross of $38,916 and more than 6 screens?
CREATE TABLE table_name_27 (rank INTEGER, gross VARCHAR, screens VARCHAR)
SELECT MAX(rank) FROM table_name_27 WHERE gross = "$38,916" AND screens > 6
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 6254, 3, 21342, 17966, 6, 8690, 584, 4280, 28027, 6, 12005, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2030, 11003, 13, 8, 239, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 6254, 61, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 8690, 3274, 96, 3229, 3747, 6, 1298, 2938, 121, 3430, 12005, 2490, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many values for points have Sophia Witherspoon as the player?
CREATE TABLE table_27578 ( "Player" text, "Games Played" real, "Rebounds" real, "Assists" real, "Steals" real, "Blocks" real, "Points" real )
SELECT COUNT("Points") FROM table_27578 WHERE "Player" = 'Sophia Witherspoon'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25988, 3940, 41, 96, 15800, 49, 121, 1499, 6, 96, 23055, 7, 2911, 15, 26, 121, 490, 6, 96, 1649, 6115, 7, 121, 490, 6, 96, 188, 7, 7, 343, 7, 121, 490, 6, 96, 14337, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 22512, 7, 8512, 21680, 953, 834, 25988, 3940, 549, 17444, 427, 96, 15800, 49, 121, 3274, 3, 31, 5231, 11692, 9, 438, 49, 7990, 106, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the result of the game with the attendance of 45,320?
CREATE TABLE table_53509 ( "Week" text, "Date" text, "Opponent" text, "Result" text, "Kickoff [a ]" text, "Game site" text, "Attendance" text, "Record" text )
SELECT "Result" FROM table_53509 WHERE "Attendance" = '45,320'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 2469, 4198, 41, 96, 518, 10266, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 439, 3142, 1647, 784, 9, 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, 20119, 121, 21680, 953, 834, 755, 2469, 4198, 549, 17444, 427, 96, 188, 17, 324, 26, 663, 121, 3274, 3, 31, 2128, 6, 15003, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what number of patients whose year of death is in or before the year 2179 had lab test for eosinophils?
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2179.0" AND lab.label = "Eosinophils"
[ 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, 7690, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7690, 5, 8399, 51, 834, 23, 26, 549, 17444,...
how many days have passed since patient 027-203413 was admitted for to the hospital?
CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE 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 medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE 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 lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time )
SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', patient.hospitaladmittime)) FROM patient WHERE patient.uniquepid = '027-203413' AND patient.hospitaldischargetime IS NULL
[ 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, 209, 1429, 41, 13733, 6245, 15382, 599, 31, 1454, 354, 31, 6, 3, 5211, 12224, 6431, 834, 382, 15382, 9960, 61, 3, 18, 3, 13733, 6245, 15382, 599, 31, 1454, 354, 31, 6, 1868, 5, 31386, 20466, 17, 715, 61, 61, 216...
What were the 2009 results that has 0 in 2010?
CREATE TABLE table_name_52 ( Id VARCHAR )
SELECT 2009 FROM table_name_52 WHERE 2010 = "0"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 27, 26, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 130, 8, 2464, 772, 24, 65, 3, 632, 16, 2735, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2464, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 2735, 3274, 96, 632, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Position did Ruzic play?
CREATE TABLE table_37657 ( "Surname" text, "First" text, "D.O.B." text, "Bats" text, "Throws" text, "Position" text )
SELECT "Position" FROM table_37657 WHERE "Surname" = 'ruzic'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 3959, 3436, 41, 96, 134, 450, 4350, 121, 1499, 6, 96, 25171, 121, 1499, 6, 96, 308, 5, 667, 5, 279, 535, 1499, 6, 96, 279, 144, 7, 121, 1499, 6, 96, 11889, 2381, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 345, 32, 7, 4749, 121, 21680, 953, 834, 519, 3959, 3436, 549, 17444, 427, 96, 134, 450, 4350, 121, 3274, 3, 31, 52, 12030, 75, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What score was given at the August 17, 2005 match?
CREATE TABLE table_5606 ( "Date" text, "Tournament" text, "Surface" text, "Opponent in the Final" text, "Score" text )
SELECT "Score" FROM table_5606 WHERE "Date" = 'august 17, 2005'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4834, 5176, 41, 96, 308, 342, 121, 1499, 6, 96, 382, 1211, 20205, 17, 121, 1499, 6, 96, 134, 450, 4861, 121, 1499, 6, 96, 667, 102, 9977, 16, 8, 6514, 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, 134, 9022, 121, 21680, 953, 834, 4834, 5176, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 402, 17198, 12864, 3105, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the average Heat for anjelika solovieva?
CREATE TABLE table_name_38 ( heat INTEGER, name VARCHAR )
SELECT AVG(heat) FROM table_name_38 WHERE name = "anjelika solovieva"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 1678, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1348, 7862, 21, 46, 1924, 8654, 9, 6729, 5914, 900, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 88, 144, 61, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 564, 3274, 96, 152, 1924, 8654, 9, 6729, 5914, 900, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
which country conceded the least goals ?
CREATE TABLE table_203_486 ( id number, "place" number, "team" text, "matches" number, "won" number, "drawn" number, "lost" number, "difference" text, "points" number )
SELECT "team" FROM table_203_486 ORDER BY "points" LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 591, 3840, 41, 3, 23, 26, 381, 6, 96, 4687, 121, 381, 6, 96, 11650, 121, 1499, 6, 96, 19515, 15, 7, 121, 381, 6, 96, 210, 106, 121, 381, 6, 96, 19489, 29,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 11650, 121, 21680, 953, 834, 23330, 834, 591, 3840, 4674, 11300, 272, 476, 96, 2700, 7, 121, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
impaired renal function defined as serum creatinine > 1.5 .
CREATE TABLE table_train_178 ( "id" int, "gender" string, "pregnancy_or_lactation" bool, "hiv_infection" bool, "hepatitis_c" bool, "renal_disease" bool, "hypoglycemia" bool, "serum_creatinine" float, "seizure_disorder" bool, "body_mass_index_bmi" float, "NOUSE" float )
SELECT * FROM table_train_178 WHERE renal_disease = 1 OR serum_creatinine > 1.5
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9719, 834, 27640, 41, 96, 23, 26, 121, 16, 17, 6, 96, 122, 3868, 121, 6108, 6, 96, 2026, 11260, 11298, 834, 127, 834, 9700, 6821, 121, 3, 12840, 40, 6, 96, 107, 23, 208...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 27640, 549, 17444, 427, 23328, 834, 26, 159, 14608, 3274, 209, 4674, 20725, 834, 5045, 144, 77, 630, 2490, 8613, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the amount of winners share (in $) in the game with a margin victory of 2 strokes?
CREATE TABLE table_1940012_2 (winners_share___$__ VARCHAR, margin_of_victory VARCHAR)
SELECT winners_share___$__ FROM table_1940012_2 WHERE margin_of_victory = "2 strokes"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 5548, 2122, 834, 357, 41, 3757, 687, 7, 834, 12484, 834, 834, 834, 3229, 834, 834, 584, 4280, 28027, 6, 6346, 834, 858, 834, 7287, 10972, 584, 4280, 28027, 61, 3, 321...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 8969, 834, 12484, 834, 834, 834, 3229, 834, 834, 21680, 953, 834, 2294, 5548, 2122, 834, 357, 549, 17444, 427, 6346, 834, 858, 834, 7287, 10972, 3274, 96, 357, 9529, 7, 121, 1, -100, -100, -100, -100, -100, -100, -1...
What December is 8.77 in January
CREATE TABLE table_15945862_1 (december VARCHAR, january VARCHAR)
SELECT december FROM table_15945862_1 WHERE january = "8.77"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1808, 4240, 3449, 4056, 834, 536, 41, 221, 75, 18247, 584, 4280, 28027, 6, 3, 7066, 76, 1208, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 1882, 19, 4848, 4013, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 20, 75, 18247, 21680, 953, 834, 1808, 4240, 3449, 4056, 834, 536, 549, 17444, 427, 3, 7066, 76, 1208, 3274, 96, 927, 5, 4013, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What's the zodiac sing for the month abbreviated as . .?
CREATE TABLE table_22135 ( "English name" text, "Thai name" text, "Abbr." text, "Transcription" text, "Sanskrit word" text, "Zodiac sign" text )
SELECT "Zodiac sign" FROM table_22135 WHERE "Abbr." = 'มี.ค.'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 2658, 2469, 41, 96, 26749, 564, 121, 1499, 6, 96, 8991, 9, 23, 564, 121, 1499, 6, 96, 8952, 115, 52, 535, 1499, 6, 96, 9402, 29, 11830, 121, 1499, 6, 96, 134, 3247...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 956, 23193, 75, 1320, 121, 21680, 953, 834, 357, 2658, 2469, 549, 17444, 427, 96, 8952, 115, 52, 535, 3274, 3, 31, 2, 5, 2, 5, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which 2002 has a 2013 of 2 4?
CREATE TABLE table_33907 ( "Tournament" text, "2002" text, "2004" text, "2005" text, "2006" text, "2007" text, "2008" text, "2009" text, "2010" text, "2011" text, "2012" text, "2013" text )
SELECT "2002" FROM table_33907 WHERE "2013" = '2–4'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 3288, 4560, 41, 96, 382, 1211, 20205, 17, 121, 1499, 6, 96, 24898, 121, 1499, 6, 96, 21653, 121, 1499, 6, 96, 22594, 121, 1499, 6, 96, 21196, 121, 1499, 6, 96, 20615...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 24898, 121, 21680, 953, 834, 519, 3288, 4560, 549, 17444, 427, 96, 11138, 121, 3274, 3, 31, 357, 104, 591, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
diastolic blood pressure < 90 mmhg
CREATE TABLE table_test_13 ( "id" int, "systolic_blood_pressure_sbp" int, "tachycardia" int, "diastolic_blood_pressure_dbp" int, "total_cholesterol" int, "high_density_lipoprotein_cholesterol_hdl_c" int, "serum_creatinine" float, "alcohol_abuse" bool, "drug_abuse" bool, "body_mass_index_bmi" float, "triglyceride_tg" float, "age" float, "NOUSE" float )
SELECT * FROM table_test_13 WHERE diastolic_blood_pressure_dbp < 90
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4377, 834, 2368, 41, 96, 23, 26, 121, 16, 17, 6, 96, 7, 63, 7, 235, 2176, 834, 27798, 834, 26866, 834, 7, 115, 102, 121, 16, 17, 6, 96, 17, 9, 11971, 16464, 9, 121, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1429, 21680, 953, 834, 4377, 834, 2368, 549, 17444, 427, 1227, 9, 7, 235, 2176, 834, 27798, 834, 26866, 834, 26, 115, 102, 3, 2, 2777, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the name of the department that has the largest number of students enrolled?
CREATE TABLE student ( stu_num number, stu_lname text, stu_fname text, stu_init text, stu_dob time, stu_hrs number, stu_class text, stu_gpa number, stu_transfer number, dept_code text, stu_phone text, prof_num number ) CREATE TABLE professor ( emp_num number, dept_code text, prof_office text, prof_extension text, prof_high_degree text ) CREATE TABLE employee ( emp_num number, emp_lname text, emp_fname text, emp_initial text, emp_jobcode text, emp_hiredate time, emp_dob time ) CREATE TABLE class ( class_code text, crs_code text, class_section text, class_time text, class_room text, prof_num number ) CREATE TABLE course ( crs_code text, dept_code text, crs_description text, crs_credit number ) CREATE TABLE department ( dept_code text, dept_name text, school_code text, emp_num number, dept_address text, dept_extension text ) CREATE TABLE enroll ( class_code text, stu_num number, enroll_grade text )
SELECT T4.dept_name FROM class AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN course AS T3 ON T1.crs_code = T3.crs_code JOIN department AS T4 ON T3.dept_code = T4.dept_code GROUP BY T3.dept_code ORDER BY COUNT(*) DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1236, 41, 21341, 834, 5525, 381, 6, 21341, 834, 40, 4350, 1499, 6, 21341, 834, 89, 4350, 1499, 6, 21341, 834, 77, 155, 1499, 6, 21341, 834, 26, 32, 115, 97, 6, 21341, 834, 18745, 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, 332, 7984, 26, 6707, 834, 4350, 21680, 853, 6157, 332, 536, 3, 15355, 3162, 17990, 6157, 332, 357, 9191, 332, 5411, 4057, 834, 4978, 3274, 332, 4416, 4057, 834, 4978, 3, 15355, 3162, 503, 6157, 332, 519, 9191, 332, ...
what is the party when the incumbent is sidney r. yates?
CREATE TABLE table_1341718_14 ( party VARCHAR, incumbent VARCHAR )
SELECT party FROM table_1341718_14 WHERE incumbent = "Sidney R. Yates"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23747, 2517, 2606, 834, 2534, 41, 1088, 584, 4280, 28027, 6, 28406, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 1088, 116, 8, 28406, 19, 108, 26, 31...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1088, 21680, 953, 834, 23747, 2517, 2606, 834, 2534, 549, 17444, 427, 28406, 3274, 96, 134, 23, 26, 3186, 391, 5, 4701, 1422, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
November 25, 2001 was what week of the season?
CREATE TABLE table_46495 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "TV Time" text )
SELECT COUNT("Week") FROM table_46495 WHERE "Date" = 'november 25, 2001'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 4389, 3301, 41, 96, 518, 10266, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 4562, 2900, 121, 1499, 3, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 518, 10266, 8512, 21680, 953, 834, 591, 4389, 3301, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 5326, 18247, 14105, 4402, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the international mail with the highest number that has a change of +0,2% and less than 0 domestic mail?
CREATE TABLE table_name_45 (international_mail INTEGER, change VARCHAR, domestic_mail VARCHAR)
SELECT MAX(international_mail) FROM table_name_45 WHERE change = "+0,2%" AND domestic_mail < 0
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 27817, 834, 1963, 3, 21342, 17966, 6, 483, 584, 4280, 28027, 6, 4422, 834, 1963, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1038, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 27817, 834, 1963, 61, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 483, 3274, 96, 1220, 632, 6, 5406, 121, 3430, 4422, 834, 1963, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100...
What number corresponds to the quantity of 24?
CREATE TABLE table_62452 ( "Class" text, "Number(s)" text, "Quantity" text, "Year(s) of Manufacture" text, "Type" text )
SELECT "Number(s)" FROM table_62452 WHERE "Quantity" = '24'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4056, 2128, 357, 41, 96, 21486, 121, 1499, 6, 96, 567, 5937, 49, 599, 7, 61, 121, 1499, 6, 96, 5991, 288, 485, 121, 1499, 6, 96, 476, 2741, 599, 7, 61, 13, 1140, 76, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 567, 5937, 49, 599, 7, 61, 121, 21680, 953, 834, 4056, 2128, 357, 549, 17444, 427, 96, 5991, 288, 485, 121, 3274, 3, 31, 2266, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the type when Robert Villemain had a record at 109–1–2?
CREATE TABLE table_name_34 (type VARCHAR, opponent VARCHAR, record VARCHAR)
SELECT type FROM table_name_34 WHERE opponent = "robert villemain" AND record = "109–1–2"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 6137, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 686, 116, 2715, 15626, 7484...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 686, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 15264, 3274, 96, 5840, 49, 17, 3, 1420, 7484, 121, 3430, 1368, 3274, 96, 17304, 104, 536, 104, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What entrant appeared in 1969?
CREATE TABLE table_70233 ( "Year" real, "Entrant" text, "Chassis" text, "Engine" text, "Points" real )
SELECT "Entrant" FROM table_70233 WHERE "Year" = '1969'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2518, 20879, 41, 96, 476, 2741, 121, 490, 6, 96, 16924, 3569, 121, 1499, 6, 96, 3541, 6500, 7, 121, 1499, 6, 96, 31477, 121, 1499, 6, 96, 22512, 7, 121, 490, 3, 61, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 96, 16924, 3569, 121, 21680, 953, 834, 2518, 20879, 549, 17444, 427, 96, 476, 2741, 121, 3274, 3, 31, 2294, 3951, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the attendance for the game against the Kansas City Chiefs earlier than week 13?
CREATE TABLE table_78612 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" real )
SELECT AVG("Attendance") FROM table_78612 WHERE "Opponent" = 'kansas city chiefs' AND "Week" < '13'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3940, 4241, 357, 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, 71, 17217, 599, 121, 188, 17, 324, 26, 663, 8512, 21680, 953, 834, 3940, 4241, 357, 549, 17444, 427, 96, 667, 102, 9977, 121, 3274, 3, 31, 3304, 7, 9, 7, 690, 5752, 7, 31, 3430, 96, 518, 10266, 121, 3, 2, 3, ...
Which title had an audience of 4.629.000?
CREATE TABLE table_name_68 (title VARCHAR, audience VARCHAR)
SELECT title FROM table_name_68 WHERE audience = "4.629.000"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 21869, 584, 4280, 28027, 6, 2417, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 2233, 141, 46, 2417, 13, 3, 25652, 3166, 5, 2313, 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, 2233, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 2417, 3274, 96, 25652, 3166, 5, 2313, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Music has a Record label of moviebox/ speed records / music waves?
CREATE TABLE table_name_60 ( music VARCHAR, record_label VARCHAR )
SELECT music FROM table_name_60 WHERE record_label = "moviebox/ speed records / music waves"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 723, 584, 4280, 28027, 6, 1368, 834, 40, 10333, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 3057, 65, 3, 9, 11392, 3783, 13, 1974, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 723, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 1368, 834, 40, 10333, 3274, 96, 7168, 23, 15, 2689, 87, 1634, 3187, 3, 87, 723, 9866, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
what is the region when the location is 49.7462 n 117.1419 w?
CREATE TABLE table_name_96 ( region VARCHAR, location VARCHAR )
SELECT region FROM table_name_96 WHERE location = "49.7462°n 117.1419°w"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 1719, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 1719, 116, 8, 1128, 19, 9526, 5, 4581, 4056, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1719, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 1128, 3274, 96, 3647, 5, 4581, 4056, 1956, 29, 3, 20275, 5, 2534, 2294, 1956, 210, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the 2008 with 2010 of 2r and wimbledon tournament
CREATE TABLE table_name_58 (tournament VARCHAR)
SELECT 2008 FROM table_name_58 WHERE 2010 = "2r" AND tournament = "wimbledon"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 17, 1211, 20205, 17, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 2628, 28, 2735, 13, 204, 52, 11, 11064, 51, 2296, 2029, 5892, 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, 2628, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 2735, 3274, 96, 357, 52, 121, 3430, 5892, 3274, 96, 210, 603, 2296, 2029, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Points have a Name of denis kornilov?
CREATE TABLE table_name_69 ( points INTEGER, name VARCHAR )
SELECT AVG(points) FROM table_name_69 WHERE name = "denis kornilov"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 979, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 4564, 7, 43, 3, 9, 5570, 13, 177, 159, 3, 5543, 29, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 564, 3274, 96, 537, 159, 3, 5543, 29, 23, 5850, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which class had 110 points?
CREATE TABLE table_13469 ( "Year" real, "Class" text, "Team" text, "Points" real, "Rank" text, "Wins" real )
SELECT "Class" FROM table_13469 WHERE "Points" = '110'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23747, 3951, 41, 96, 476, 2741, 121, 490, 6, 96, 21486, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 22512, 7, 121, 490, 6, 96, 22557, 121, 1499, 6, 96, 18455, 7, 121, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 96, 21486, 121, 21680, 953, 834, 23747, 3951, 549, 17444, 427, 96, 22512, 7, 121, 3274, 3, 31, 19277, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the game of developer Rockstar Games?
CREATE TABLE table_name_71 ( game VARCHAR, developer_s_ VARCHAR )
SELECT game FROM table_name_71 WHERE developer_s_ = "rockstar games"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 467, 584, 4280, 28027, 6, 7523, 834, 7, 834, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 467, 13, 7523, 3120, 3624, 5880, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 467, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 7523, 834, 7, 834, 3274, 96, 6133, 3624, 1031, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many wins when the pct, is .848?
CREATE TABLE table_name_19 ( wins VARCHAR, pct VARCHAR )
SELECT wins FROM table_name_19 WHERE pct = ".848"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 9204, 584, 4280, 28027, 6, 3, 102, 75, 17, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 9204, 116, 8, 3, 102, 75, 17, 6, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 9204, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 3, 102, 75, 17, 3274, 96, 5, 927, 3707, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the sum of Year opened when the span feet is more than 1247, and the spam metres is 384?
CREATE TABLE table_7205 ( "Rank" real, "Name" text, "Span metres" real, "Span feet" real, "Material" text, "Year opened" real, "Location" text, "Country" text )
SELECT SUM("Year opened") FROM table_7205 WHERE "Span feet" > '1247' AND "Span metres" = '384'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 18517, 755, 41, 96, 22557, 121, 490, 6, 96, 23954, 121, 1499, 6, 96, 19675, 14604, 121, 490, 6, 96, 19675, 1922, 121, 490, 6, 96, 329, 342, 12042, 121, 1499, 6, 96, 476, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 476, 2741, 2946, 8512, 21680, 953, 834, 18517, 755, 549, 17444, 427, 96, 19675, 1922, 121, 2490, 3, 31, 2122, 4177, 31, 3430, 96, 19675, 14604, 121, 3274, 3, 31, 3747, 591, 31, 1, -100, -100, ...
Who was the away team for the game at Victoria Park?
CREATE TABLE table_name_47 (away_team VARCHAR, venue VARCHAR)
SELECT away_team FROM table_name_47 WHERE venue = "victoria park"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 550, 372, 21, 8, 467, 44, 7488, 1061, 58...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 550, 834, 11650, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 5669, 3274, 96, 7287, 3600, 9, 2447, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the lowest enrollment for Eastern Michigan University?
CREATE TABLE table_3541 ( "Institution" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Team Nickname" text, "Primary conference" text )
SELECT MIN("Enrollment") FROM table_3541 WHERE "Institution" = 'Eastern Michigan University'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2469, 4853, 41, 96, 1570, 17448, 121, 1499, 6, 96, 434, 32, 75, 257, 121, 1499, 6, 96, 20100, 121, 490, 6, 96, 188, 89, 8027, 23, 257, 121, 1499, 6, 96, 8532, 4046, 297...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 8532, 4046, 297, 8512, 21680, 953, 834, 2469, 4853, 549, 17444, 427, 96, 1570, 17448, 121, 3274, 3, 31, 427, 9, 13072, 5847, 636, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many audition city's are there with an episode air date of June 24, 2010?
CREATE TABLE table_27615445_1 ( audition_city VARCHAR, episode_air_date VARCHAR )
SELECT COUNT(audition_city) FROM table_27615445_1 WHERE episode_air_date = "June 24, 2010"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 4241, 5062, 2128, 834, 536, 41, 21042, 834, 6726, 584, 4280, 28027, 6, 5640, 834, 2256, 834, 5522, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 402, 10569, 834, 6726, 61, 21680, 953, 834, 2555, 4241, 5062, 2128, 834, 536, 549, 17444, 427, 5640, 834, 2256, 834, 5522, 3274, 96, 683, 444, 14320, 2735, 121, 1, -100, -100, -100, -100, -100, -100,...
How many games were lost when the order was 2nd and the play was more than 13
CREATE TABLE table_name_66 ( lost VARCHAR, order VARCHAR, played VARCHAR )
SELECT COUNT(lost) FROM table_name_66 WHERE order = "2nd" AND played > 13
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 1513, 584, 4280, 28027, 6, 455, 584, 4280, 28027, 6, 1944, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 1031, 130, 1513, 116, 8, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 455, 3274, 96, 357, 727, 121, 3430, 1944, 2490, 1179, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the opponent with a result of l 14 6?
CREATE TABLE table_name_6 ( opponent VARCHAR, result VARCHAR )
SELECT opponent FROM table_name_6 WHERE result = "l 14–6"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 15264, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 15264, 28, 3, 9, 741, 13, 3, 40, 968, 431, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 741, 3274, 96, 40, 968, 104, 948, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which airport is in Saudi Arabia when the ICAO is oejn?
CREATE TABLE table_11590 ( "City" text, "Country" text, "IATA" text, "ICAO" text, "Airport" text )
SELECT "Airport" FROM table_11590 WHERE "Country" = 'saudi arabia' AND "ICAO" = 'oejn'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 15660, 2394, 41, 96, 254, 485, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 196, 19282, 121, 1499, 6, 96, 15038, 667, 121, 1499, 6, 96, 20162, 1493, 121, 1499, 3, 61, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 20162, 1493, 121, 21680, 953, 834, 15660, 2394, 549, 17444, 427, 96, 10628, 651, 121, 3274, 3, 31, 7, 9, 5291, 1584, 15932, 31, 3430, 96, 15038, 667, 121, 3274, 3, 31, 32, 15, 354, 29, 31, 1, -100, -100, -10...
What is the highest Matches were the points were smaller than 8, the place was larger than 13, and the drawn is less than 1?
CREATE TABLE table_name_78 ( matches INTEGER, drawn VARCHAR, points VARCHAR, place VARCHAR )
SELECT MAX(matches) FROM table_name_78 WHERE points < 8 AND place > 13 AND drawn < 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 6407, 3, 21342, 17966, 6, 6796, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 286, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 19515, 15, 7, 61, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 979, 3, 2, 505, 3430, 286, 2490, 1179, 3430, 6796, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Winnings have Starts larger than 34, and Poles smaller than 1, and a Top 10 of 5?
CREATE TABLE table_name_93 (winnings VARCHAR, top_10 VARCHAR, starts VARCHAR, poles VARCHAR)
SELECT winnings FROM table_name_93 WHERE starts > 34 AND poles < 1 AND top_10 = 5
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 8163, 7, 584, 4280, 28027, 6, 420, 834, 1714, 584, 4280, 28027, 6, 3511, 584, 4280, 28027, 6, 11148, 7, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 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, 3447, 7, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 3511, 2490, 6154, 3430, 11148, 7, 3, 2, 209, 3430, 420, 834, 1714, 3274, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the Constructor for the German Grand Prix Race?
CREATE TABLE table_name_33 ( constructor VARCHAR, race VARCHAR )
SELECT constructor FROM table_name_33 WHERE race = "german grand prix"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 6774, 127, 584, 4280, 28027, 6, 1964, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 1193, 7593, 127, 21, 8, 2968, 2698, 12942, 10...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6774, 127, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 1964, 3274, 96, 1304, 348, 1907, 3407, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
give me the number of patients whose discharge location is home and primary disease is coronary artery disease\coronary artery bypass graft /sda?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE 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 )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "HOME" AND demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 26, 159, 7993, 834, 14836, 3274, 96, 6299, 4369, 121, 3430, 14798, 5, 25930, 4844, 159, 3274, 96, ...