NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
What is Another She's Label?
CREATE TABLE table_name_41 ( label VARCHAR, english_title VARCHAR )
SELECT label FROM table_name_41 WHERE english_title = "another she"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 3783, 584, 4280, 28027, 6, 22269, 834, 21869, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 2351, 451, 31, 7, 16229, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3783, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 22269, 834, 21869, 3274, 96, 152, 9269, 255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How films are produced by each studio?
CREATE TABLE market ( market_id number, country text, number_cities number ) CREATE TABLE film ( film_id number, title text, studio text, director text, gross_in_dollar number ) CREATE TABLE film_market_estimation ( estimation_id number, low_estimate number, high_estimate n...
SELECT studio, COUNT(*) FROM film GROUP BY studio
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 512, 41, 512, 834, 23, 26, 381, 6, 684, 1499, 6, 381, 834, 75, 2197, 381, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 814, 41, 814, 834, 23, 26, 381, 6, 2233, 149...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3100, 6, 2847, 17161, 599, 1935, 61, 21680, 814, 350, 4630, 6880, 272, 476, 3100, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Group and count brand for each camera lens using a bar chart, and rank in asc by the total number.
CREATE TABLE photos ( id int, camera_lens_id int, mountain_id int, color text, name text ) CREATE TABLE camera_lens ( id int, brand text, name text, focal_length_mm real, max_aperture real ) CREATE TABLE mountain ( id int, name text, Height real, Prominence real...
SELECT brand, COUNT(brand) FROM camera_lens GROUP BY brand ORDER BY COUNT(brand)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1302, 41, 3, 23, 26, 16, 17, 6, 1861, 834, 40, 35, 7, 834, 23, 26, 16, 17, 6, 4180, 834, 23, 26, 16, 17, 6, 945, 1499, 6, 564, 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, 1056, 6, 2847, 17161, 599, 12164, 61, 21680, 1861, 834, 40, 35, 7, 350, 4630, 6880, 272, 476, 1056, 4674, 11300, 272, 476, 2847, 17161, 599, 12164, 61, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
when season mvp is larger than 1.0 what is the maximum number of selection
CREATE TABLE table_26130295_3 (number_of_selections INTEGER, season_mvp INTEGER)
SELECT MAX(number_of_selections) FROM table_26130295_3 WHERE season_mvp > 1.0
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 21448, 357, 3301, 834, 519, 41, 5525, 1152, 834, 858, 834, 7, 15, 12252, 7, 3, 21342, 17966, 6, 774, 834, 51, 208, 102, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 4800, 4, 599, 5525, 1152, 834, 858, 834, 7, 15, 12252, 7, 61, 21680, 953, 834, 2688, 21448, 357, 3301, 834, 519, 549, 17444, 427, 774, 834, 51, 208, 102, 2490, 3, 12734, 1, -100, -100, -100, -100, -100, -100, -100...
What was the Winning Score when Betsy Rawls was the Runner(s)-up?
CREATE TABLE table_name_96 (winning_score VARCHAR, runner_s__up VARCHAR)
SELECT winning_score FROM table_name_96 WHERE runner_s__up = "betsy rawls"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 8163, 834, 7, 9022, 584, 4280, 28027, 6, 3, 10806, 834, 7, 834, 834, 413, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 549, 10503, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 3447, 834, 7, 9022, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 3, 10806, 834, 7, 834, 834, 413, 3274, 96, 346, 17, 7, 63, 5902, 40, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is average age of patients whose primary disease is t5 fracture and year of birth is greater than 2134?
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...
SELECT AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "T5 FRACTURE" AND demographic.dob_year > "2134"
[ 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, 71, 17217, 599, 1778, 16587, 5, 545, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 25930, 4844, 159, 3274, 96, 382, 755, 377, 22034, 25380, 121, 3430, 14798, 5, 26, 32, 115, 834, 1201, 2490, 96, 2658, 3710, 121, 1, ...
how many patients whose procedure short title is attach pedicle graft nec?
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.short_title = "Attach pedicle graft NEC"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 18730, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
Which date has china as the venue?
CREATE TABLE table_14680 ( "Date" text, "Venue" text, "Score" text, "Result" text, "Competition" text )
SELECT "Date" FROM table_14680 WHERE "Venue" = 'china'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24300, 2079, 41, 96, 308, 342, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 5890, 4995, 4749, 121, 1499, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 96, 308, 342, 121, 21680, 953, 834, 24300, 2079, 549, 17444, 427, 96, 553, 35, 76, 15, 121, 3274, 3, 31, 5675, 9, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
name each of tv azteca 's network names .
CREATE TABLE table_204_796 ( id number, "network name" text, "flagship" text, "programming type" text, "owner" text, "affiliates" number )
SELECT "network name" FROM table_204_796 WHERE "owner" = 'tv azteca'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 940, 4314, 41, 3, 23, 26, 381, 6, 96, 1582, 1981, 564, 121, 1499, 6, 96, 89, 5430, 2009, 121, 1499, 6, 96, 7050, 53, 686, 121, 1499, 6, 96, 13238, 121, 1499...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 1582, 1981, 564, 121, 21680, 953, 834, 26363, 834, 940, 4314, 549, 17444, 427, 96, 13238, 121, 3274, 3, 31, 17, 208, 3, 9, 172, 5822, 9, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
When are the birthdays of customer who are classified as 'Good Customer' status?
CREATE TABLE lessons ( lesson_id number, customer_id number, lesson_status_code text, staff_id number, vehicle_id number, lesson_date time, lesson_time text, price number ) CREATE TABLE addresses ( address_id number, line_1_number_building text, city text, zip_postcode t...
SELECT date_of_birth FROM customers WHERE customer_status_code = 'Good Customer'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 5182, 41, 6114, 834, 23, 26, 381, 6, 884, 834, 23, 26, 381, 6, 6114, 834, 8547, 302, 834, 4978, 1499, 6, 871, 834, 23, 26, 381, 6, 1689, 834, 23, 26, 381, 6, 6114, 834, 5522, 9...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 833, 834, 858, 834, 20663, 21680, 722, 549, 17444, 427, 884, 834, 8547, 302, 834, 4978, 3274, 3, 31, 20639, 7327, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Theme has a Order # of 9?
CREATE TABLE table_name_5 ( theme VARCHAR, order__number VARCHAR )
SELECT theme FROM table_name_5 WHERE order__number = "9"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 3800, 584, 4280, 28027, 6, 455, 834, 834, 5525, 1152, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 37, 526, 65, 3, 9, 5197, 1713, 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, 3800, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 455, 834, 834, 5525, 1152, 3274, 96, 1298, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the party for massachusetts 3
CREATE TABLE table_1341897_23 ( party VARCHAR, district VARCHAR )
SELECT party FROM table_1341897_23 WHERE district = "Massachusetts 3"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23747, 2606, 4327, 834, 2773, 41, 1088, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 1088, 21, 3294, 1836, 1074, 17, 17, 7, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1088, 21680, 953, 834, 23747, 2606, 4327, 834, 2773, 549, 17444, 427, 3939, 3274, 96, 27189, 1836, 1074, 17, 17, 7, 220, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many episodes were written by Gregg Mettler?
CREATE TABLE table_31145 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" real )
SELECT COUNT("No. in series") FROM table_31145 WHERE "Written by" = 'Gregg Mettler'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3341, 20987, 41, 96, 4168, 5, 16, 939, 121, 490, 6, 96, 4168, 5, 16, 774, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 24965...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4168, 5, 16, 939, 8512, 21680, 953, 834, 3341, 20987, 549, 17444, 427, 96, 24965, 324, 57, 121, 3274, 3, 31, 517, 60, 4102, 8146, 14539, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the status with an against over 20 on 18/11/1995?
CREATE TABLE table_78747 ( "Opposing Teams" text, "Against" real, "Date" text, "Venue" text, "Status" text )
SELECT "Status" FROM table_78747 WHERE "Against" > '20' AND "Date" = '18/11/1995'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3940, 940, 4177, 41, 96, 667, 102, 2748, 53, 16651, 121, 1499, 6, 96, 20749, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 134, 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, 96, 134, 17, 144, 302, 121, 21680, 953, 834, 3940, 940, 4177, 549, 17444, 427, 96, 20749, 121, 2490, 3, 31, 1755, 31, 3430, 96, 308, 342, 121, 3274, 3, 31, 2606, 20223, 13523, 3301, 31, 1, -100, -100, -100, -100, ...
What are the main industries of the companies without gas stations and what are the companies?
CREATE TABLE company ( company_id number, rank number, company text, headquarters text, main_industry text, sales_billion number, profits_billion number, assets_billion number, market_value number ) CREATE TABLE station_company ( station_id number, company_id number, ran...
SELECT company, main_industry FROM company WHERE NOT company_id IN (SELECT company_id FROM station_company)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 349, 41, 349, 834, 23, 26, 381, 6, 11003, 381, 6, 349, 1499, 6, 13767, 1499, 6, 711, 834, 13580, 7, 8224, 1499, 6, 1085, 834, 115, 14916, 381, 6, 9613, 834, 115, 14916, 381, 6, 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, 349, 6, 711, 834, 13580, 7, 8224, 21680, 349, 549, 17444, 427, 4486, 349, 834, 23, 26, 3388, 41, 23143, 14196, 349, 834, 23, 26, 21680, 2478, 834, 29179, 61, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
A bar chart for finding the number of the country of the airlines whose name starts with 'Orbit', show by the the number of country in desc.
CREATE TABLE routes ( rid integer, dst_apid integer, dst_ap varchar(4), src_apid bigint, src_ap varchar(4), alid bigint, airline varchar(4), codeshare text ) CREATE TABLE airlines ( alid integer, name text, iata varchar(2), icao varchar(3), callsign text, country...
SELECT country, COUNT(country) FROM airlines WHERE name LIKE 'Orbit%' GROUP BY country ORDER BY COUNT(country) DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 9729, 41, 5413, 30278, 6, 3, 26, 7, 17, 834, 9, 12417, 30278, 6, 3, 26, 7, 17, 834, 9, 102, 3, 4331, 4059, 10820, 6, 3, 7, 52, 75, 834, 9, 12417, 600, 77, 17, 6, 3, 7, 52, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 684, 6, 2847, 17161, 599, 17529, 61, 21680, 19184, 549, 17444, 427, 564, 8729, 9914, 3, 31, 7395, 2360, 1454, 31, 350, 4630, 6880, 272, 476, 684, 4674, 11300, 272, 476, 2847, 17161, 599, 17529, 61, 309, 25067, 1, -1...
What is the lowest 1994-1995, when Points is 145, and when Played is less than 114?
CREATE TABLE table_9670 ( "Team" text, "Average" real, "Points" real, "Played" real, "1992-93" text, "1993-94" text, "1994-1995" real )
SELECT MIN("1994-1995") FROM table_9670 WHERE "Points" = '145' AND "Played" < '114'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4314, 2518, 41, 96, 18699, 121, 1499, 6, 96, 188, 624, 545, 121, 490, 6, 96, 22512, 7, 121, 490, 6, 96, 15800, 15, 26, 121, 490, 6, 96, 19479, 7412, 4271, 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, 3, 17684, 599, 121, 2294, 4240, 4481, 3301, 8512, 21680, 953, 834, 4314, 2518, 549, 17444, 427, 96, 22512, 7, 121, 3274, 3, 31, 20987, 31, 3430, 96, 15800, 15, 26, 121, 3, 2, 3, 31, 18959, 31, 1, -100, -100, -10...
How many colleges did Jon Gott attend?
CREATE TABLE table_16575609_5 ( college VARCHAR, player VARCHAR )
SELECT COUNT(college) FROM table_16575609_5 WHERE player = "Jon Gott"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 3436, 4834, 4198, 834, 755, 41, 1900, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 12936, 410, 8178, 11922, 2467, 58, 1,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 3297, 7883, 61, 21680, 953, 834, 2938, 3436, 4834, 4198, 834, 755, 549, 17444, 427, 1959, 3274, 96, 683, 106, 11922, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What competition did they have 1 lost, 3 draws, and played 9 games?
CREATE TABLE table_name_17 (competition VARCHAR, played VARCHAR, lost VARCHAR, drew VARCHAR)
SELECT competition FROM table_name_17 WHERE lost = "1" AND drew = "3" AND played = "9"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 287, 4995, 4749, 584, 4280, 28027, 6, 1944, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 6, 3, 26, 60, 210, 584, 4280, 28027, 61, 3, 32102, 32103, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 2259, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 1513, 3274, 96, 536, 121, 3430, 3, 26, 60, 210, 3274, 96, 519, 121, 3430, 1944, 3274, 96, 1298, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the resolution of the fight when Nate Mohr's record was 8-6?
CREATE TABLE table_name_20 ( res VARCHAR, record VARCHAR )
SELECT res FROM table_name_20 WHERE record = "8-6"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 3, 60, 7, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 3161, 13, 8, 2870, 116, 9267, 15, 1290, 107,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 60, 7, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 1368, 3274, 96, 927, 5783, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Country of the Player with a To par of +1 and a Score of 74-70-70=214?
CREATE TABLE table_name_12 ( country VARCHAR, to_par VARCHAR, score VARCHAR )
SELECT country FROM table_name_12 WHERE to_par = "+1" AND score = 74 - 70 - 70 = 214
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 684, 584, 4280, 28027, 6, 12, 834, 1893, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 6993, 13, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 12, 834, 1893, 3274, 96, 18446, 121, 3430, 2604, 3274, 3, 4581, 3, 18, 2861, 3, 18, 2861, 3274, 3, 27357, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the team 1 for round 3
CREATE TABLE table_name_64 (team_1 VARCHAR, round VARCHAR)
SELECT team_1 FROM table_name_64 WHERE round = "3"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 11650, 834, 536, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 372, 209, 21, 1751, 220, 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, 372, 834, 536, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 1751, 3274, 96, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the Player who has a Place of t7 in Country of united states?
CREATE TABLE table_77085 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )
SELECT "Player" FROM table_77085 WHERE "Place" = 't7' AND "Country" = 'united states'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26920, 4433, 41, 96, 345, 11706, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 3696, 260, 121, 1499, 3, 61, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 15800, 49, 121, 21680, 953, 834, 26920, 4433, 549, 17444, 427, 96, 345, 11706, 121, 3274, 3, 31, 17, 940, 31, 3430, 96, 10628, 651, 121, 3274, 3, 31, 15129, 15, 26, 2315, 31, 1, -100, -100, -100, -100, -100, ...
What is the cardinal direction of Wednesday p.m. in English?
CREATE TABLE table_name_90 (cardinal_direction VARCHAR, english VARCHAR)
SELECT cardinal_direction FROM table_name_90 WHERE english = "wednesday p.m."
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 6043, 10270, 834, 10258, 4985, 584, 4280, 28027, 6, 22269, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 895, 10270, 2212, 13, 2875, 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, 895, 10270, 834, 10258, 4985, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 22269, 3274, 96, 1123, 26, 1496, 1135, 3, 102, 5, 51, 535, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
have there been any microbiology tests for patient 031-24513?
CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsysto...
SELECT COUNT(*) > 0 FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-24513'))
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1058, 41, 1058, 23, 26, 381, 6, 1868, 15129, 21545, 23, 26, 381, 6, 1058, 4350, 1499, 6, 1058, 715, 97, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 3362, 4267, 32, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 2490, 3, 632, 21680, 2179, 9339, 549, 17444, 427, 2179, 9339, 5, 10061, 15129, 21545, 23, 26, 3388, 41, 23143, 14196, 1868, 5, 10061, 15129, 21545, 23, 26, 21680, 1868, 549, 17444, 427, 186...
does oruro have more or less uninominal deputies than la paz ?
CREATE TABLE table_204_246 ( id number, "department" text, "total deputies" number, "uninominal deputies" number, "plurinominal deputies" number, "special indigenous\nor campesino deputies" number, "senators" number )
SELECT (SELECT "uninominal deputies" FROM table_204_246 WHERE "department" = 'oruro') > (SELECT "uninominal deputies" FROM table_204_246 WHERE "department" = 'la paz')
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 357, 4448, 41, 3, 23, 26, 381, 6, 96, 221, 2274, 297, 121, 1499, 6, 96, 235, 1947, 20, 2562, 725, 121, 381, 6, 96, 202, 23, 3114, 10270, 20, 2562, 725, 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, 41, 23143, 14196, 96, 202, 23, 3114, 10270, 20, 2562, 725, 121, 21680, 953, 834, 26363, 834, 357, 4448, 549, 17444, 427, 96, 221, 2274, 297, 121, 3274, 3, 31, 127, 450, 32, 31, 61, 2490, 41, 23143, 14196, 96, 202,...
What is the total teams during the 2012-13 season?
CREATE TABLE table_name_19 ( teams INTEGER, season VARCHAR )
SELECT SUM(teams) FROM table_name_19 WHERE season = "2012-13"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 2323, 3, 21342, 17966, 6, 774, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 792, 2323, 383, 8, 1673, 13056, 774, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 11650, 7, 61, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 774, 3274, 96, 12172, 13056, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who was the man of the match when they lost 2-4?
CREATE TABLE table_21357 ( "Date" text, "Opponent" text, "Venue" text, "Result" text, "Attendance" real, "Competition" text, "Man of the Match" text )
SELECT "Man of the Match" FROM table_21357 WHERE "Result" = 'Lost 2-4'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 2368, 3436, 41, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 188, 17, 324, 26, 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, 7296, 13, 8, 12296, 121, 21680, 953, 834, 357, 2368, 3436, 549, 17444, 427, 96, 20119, 121, 3274, 3, 31, 434, 3481, 3, 21432, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Event, when Meet is 'World Championships', and when Time is '20.51'?
CREATE TABLE table_name_41 ( event VARCHAR, meet VARCHAR, time VARCHAR )
SELECT event FROM table_name_41 WHERE meet = "world championships" AND time = "20.51"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4853, 41, 605, 584, 4280, 28027, 6, 942, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8042, 6, 116, 12325, 19, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 605, 21680, 953, 834, 4350, 834, 4853, 549, 17444, 427, 942, 3274, 96, 7276, 10183, 7, 121, 3430, 97, 3274, 96, 1755, 5, 5553, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the number and name where the date is earlier than 1905?
CREATE TABLE table_51258 ( "Number & Name" text, "Description" text, "Livery" text, "Owner(s)" text, "Date" real )
SELECT "Number & Name" FROM table_51258 WHERE "Date" < '1905'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24163, 3449, 41, 96, 567, 5937, 49, 3, 184, 5570, 121, 1499, 6, 96, 2962, 11830, 121, 1499, 6, 96, 24179, 651, 121, 1499, 6, 96, 667, 210, 687, 599, 7, 61, 121, 1499, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 567, 5937, 49, 3, 184, 5570, 121, 21680, 953, 834, 24163, 3449, 549, 17444, 427, 96, 308, 342, 121, 3, 2, 3, 31, 2294, 3076, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many different season numbers does the episode 'The Nineteenth Hole' have?
CREATE TABLE table_31258 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" real )
SELECT COUNT("No. in season") FROM table_31258 WHERE "Title" = 'The Nineteenth Hole'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 2122, 3449, 41, 96, 4168, 5, 16, 939, 121, 490, 6, 96, 4168, 5, 16, 774, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 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, 2847, 17161, 599, 121, 4168, 5, 16, 774, 8512, 21680, 953, 834, 519, 2122, 3449, 549, 17444, 427, 96, 382, 155, 109, 121, 3274, 3, 31, 634, 19636, 6808, 189, 5838, 15, 31, 1, -100, -100, -100, -100, -100, -100, -1...
which team was the winner of the first final ?
CREATE TABLE table_204_596 ( id number, "year" number, "winners" text, "score" text, "runners up" text, "notes" text )
SELECT "winners" FROM table_204_596 ORDER BY "year" LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 3390, 948, 41, 3, 23, 26, 381, 6, 96, 1201, 121, 381, 6, 96, 3757, 687, 7, 121, 1499, 6, 96, 7, 9022, 121, 1499, 6, 96, 10806, 7, 95, 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, 3757, 687, 7, 121, 21680, 953, 834, 26363, 834, 3390, 948, 4674, 11300, 272, 476, 96, 1201, 121, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the production format for the series with the local title Fort Boyard: Ultimate Challenge?
CREATE TABLE table_1949994_8 ( format VARCHAR, local_title VARCHAR )
SELECT format FROM table_1949994_8 WHERE local_title = "Fort Boyard: Ultimate Challenge"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 3647, 3264, 591, 834, 927, 41, 1910, 584, 4280, 28027, 6, 415, 834, 21869, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 999, 1910, 21, 8, 939, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1910, 21680, 953, 834, 2294, 3647, 3264, 591, 834, 927, 549, 17444, 427, 415, 834, 21869, 3274, 96, 3809, 17, 7508, 986, 10, 17913, 7729, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Show the status shared by cities with population bigger than 1500 and smaller than 500.
CREATE TABLE city ( Status VARCHAR, Population INTEGER )
SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 690, 41, 19318, 584, 4280, 28027, 6, 29659, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 3111, 8, 2637, 2471, 57, 3119, 28, 2074, 4038, 145, 15011, 11, 2755, 145, 2899, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 19318, 21680, 690, 549, 17444, 427, 29659, 2490, 15011, 3, 21342, 5249, 14196, 3, 23143, 14196, 19318, 21680, 690, 549, 17444, 427, 29659, 3, 2, 2899, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the Runs has a Venue of bellerive oval , hobart, and a Season of 2004/05, and a Rank of 5?
CREATE TABLE table_8606 ( "Rank" text, "Runs" text, "Player" text, "Opponent" text, "Venue" text, "Season" text )
SELECT "Runs" FROM table_8606 WHERE "Venue" = 'bellerive oval , hobart' AND "Season" = '2004/05' AND "Rank" = '5'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3840, 5176, 41, 96, 22557, 121, 1499, 6, 96, 448, 202, 7, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 448, 202, 7, 121, 21680, 953, 834, 3840, 5176, 549, 17444, 427, 96, 553, 35, 76, 15, 121, 3274, 3, 31, 7708, 49, 757, 17986, 3, 6, 3534, 1047, 17, 31, 3430, 96, 134, 15, 9, 739, 121, 3274, 3, 31, 21653, ...
Who won bronze in Seoul?
CREATE TABLE table_name_20 (bronze VARCHAR, location VARCHAR)
SELECT bronze FROM table_name_20 WHERE location = "seoul"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 13711, 776, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 751, 13467, 16, 28343, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 13467, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 1128, 3274, 96, 7, 15, 7115, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the lowest amount of money that Craig Stadler won?
CREATE TABLE table_name_64 ( money___ INTEGER, player VARCHAR )
SELECT MIN(money___) AS $__ FROM table_name_64 WHERE player = "craig stadler"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 540, 834, 834, 834, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 7402, 866, 13, 540, 24, 12870, 472, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 28442, 834, 834, 834, 61, 6157, 1514, 834, 834, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 1959, 3274, 96, 2935, 23, 122, 3342, 12807, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
Give me a bar chart for the average of baseprice of each decor, could you display Y-axis from high to low order?
CREATE TABLE Reservations ( Code INTEGER, Room TEXT, CheckIn TEXT, CheckOut TEXT, Rate REAL, LastName TEXT, FirstName TEXT, Adults INTEGER, Kids INTEGER ) CREATE TABLE Rooms ( RoomId TEXT, roomName TEXT, beds INTEGER, bedType TEXT, maxOccupancy INTEGER, baseP...
SELECT decor, AVG(basePrice) FROM Rooms GROUP BY decor ORDER BY AVG(basePrice) DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 27659, 7, 41, 3636, 3, 21342, 17966, 6, 4181, 3, 3463, 4, 382, 6, 1972, 1570, 3, 3463, 4, 382, 6, 1972, 15767, 3, 3463, 4, 382, 6, 13002, 17833, 6, 2506, 23954, 3, 3463, 4, 382, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4469, 6, 71, 17217, 599, 10925, 345, 4920, 61, 21680, 4181, 7, 350, 4630, 6880, 272, 476, 4469, 4674, 11300, 272, 476, 71, 17217, 599, 10925, 345, 4920, 61, 309, 25067, 1, -100, -100, -100, -100, -100, -100, -100, -...
How many laps were there in grid 21?
CREATE TABLE table_name_80 (laps VARCHAR, grid VARCHAR)
SELECT laps FROM table_name_80 WHERE grid = "21"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 8478, 7, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 14941, 7, 130, 132, 16, 8634, 1401, 58, 1, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 14941, 7, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 8634, 3274, 96, 2658, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what medications were patient 016-34426 allergic to until 02/2102?
CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE allergy ( allergyid number...
SELECT allergy.drugname FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-34426')) AND STRFTIME('%y-%m', allergy.allergytime) <= '2102-02'
[ 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, 23886, 5, 26, 13534, 4350, 21680, 23886, 549, 17444, 427, 23886, 5, 10061, 15129, 21545, 23, 26, 3388, 41, 23143, 14196, 1868, 5, 10061, 15129, 21545, 23, 26, 21680, 1868, 549, 17444, 427, 1868, 5, 10061, 15878, 3734, ...
When marcus camby (15) has the highest amount of rebounds what is the date?
CREATE TABLE table_23286158_10 ( date VARCHAR, high_rebounds VARCHAR )
SELECT date FROM table_23286158_10 WHERE high_rebounds = "Marcus Camby (15)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23188, 3840, 26556, 834, 1714, 41, 833, 584, 4280, 28027, 6, 306, 834, 23768, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 366, 14124, 302, 5511, 969, 17251, 61, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 23188, 3840, 26556, 834, 1714, 549, 17444, 427, 306, 834, 23768, 3274, 96, 7286, 1071, 7, 5184, 969, 17251, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the smallest number of bronze medals with more than 4 gold medals?
CREATE TABLE table_69395 ( "Rank" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT MIN("Bronze") FROM table_69395 WHERE "Gold" > '4'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3951, 519, 3301, 41, 96, 22557, 121, 1499, 6, 96, 23576, 121, 490, 6, 96, 134, 173, 624, 121, 490, 6, 96, 22780, 29, 776, 121, 490, 6, 96, 3696, 1947, 121, 490, 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, 3, 17684, 599, 121, 22780, 29, 776, 8512, 21680, 953, 834, 3951, 519, 3301, 549, 17444, 427, 96, 23576, 121, 2490, 3, 31, 591, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
which game number had the most attendance ?
CREATE TABLE table_203_471 ( id number, "#" number, "date" text, "opponent" text, "score" text, "site/stadium" text, "win" text, "loss" text, "save" text, "attendance" number, "overall record" text, "ncaat record" text )
SELECT "#" FROM table_203_471 ORDER BY "attendance" DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 4177, 536, 41, 3, 23, 26, 381, 6, 96, 4663, 121, 381, 6, 96, 5522, 121, 1499, 6, 96, 32, 102, 9977, 121, 1499, 6, 96, 7, 9022, 121, 1499, 6, 96, 3585, 87,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 4663, 121, 21680, 953, 834, 23330, 834, 4177, 536, 4674, 11300, 272, 476, 96, 15116, 663, 121, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What Career has a Super G of 5, and a Combined of 6?
CREATE TABLE table_name_61 ( career VARCHAR, super_g VARCHAR, combined VARCHAR )
SELECT career FROM table_name_61 WHERE super_g = "5" AND combined = "6"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 1415, 584, 4280, 28027, 6, 1355, 834, 122, 584, 4280, 28027, 6, 3334, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 15151, 65, 3, 9, 201...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1415, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 1355, 834, 122, 3274, 96, 17395, 3430, 3334, 3274, 96, 948, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Visualize a scatter chart about the correlation between ACC_Percent and All_Games_Percent , and group by attribute ACC_Regular_Season.
CREATE TABLE university ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text ) CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Per...
SELECT ACC_Percent, All_Games_Percent FROM basketball_match GROUP BY ACC_Regular_Season
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3819, 41, 1121, 834, 4309, 16, 17, 6, 1121, 1499, 6, 10450, 1499, 6, 3, 20100, 490, 6, 71, 89, 8027, 23, 257, 1499, 6, 695, 4046, 297, 490, 6, 7486, 4350, 1499, 6, 14542, 834, 28...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 14775, 834, 12988, 3728, 6, 432, 834, 23055, 7, 834, 12988, 3728, 21680, 8498, 834, 19515, 350, 4630, 6880, 272, 476, 3, 14775, 834, 17748, 4885, 834, 134, 15, 9, 739, 1, -100, -100, -100, -100, -100, -100, -100,...
How many in attendance with a loss of volquez (1–4)?
CREATE TABLE table_name_57 (attendance VARCHAR, loss VARCHAR)
SELECT attendance FROM table_name_57 WHERE loss = "volquez (1–4)"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 15116, 663, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 16, 11364, 28, 3, 9, 1453, 13, 5063, 835, 172, 40...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11364, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 1453, 3274, 96, 4571, 835, 172, 4077, 104, 7256, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In the 2012 (85th) Ceremony, what was the Original title of the film not nominated?
CREATE TABLE table_42398 ( "Year (Ceremony)" text, "Film title used in nomination" text, "Original title" text, "Director" text, "Result" text )
SELECT "Original title" FROM table_42398 WHERE "Result" = 'not nominated' AND "Year (Ceremony)" = '2012 (85th)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 2773, 3916, 41, 96, 476, 2741, 41, 254, 49, 15, 21208, 61, 121, 1499, 6, 96, 371, 173, 51, 2233, 261, 16, 13588, 121, 1499, 6, 96, 667, 3380, 10270, 2233, 121, 1499,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 667, 3380, 10270, 2233, 121, 21680, 953, 834, 591, 2773, 3916, 549, 17444, 427, 96, 20119, 121, 3274, 3, 31, 2264, 150, 1109, 920, 31, 3430, 96, 476, 2741, 41, 254, 49, 15, 21208, 61, 121, 3274, 3, 31, 12172, ...
where does li dong publish ?
CREATE TABLE paperfield ( fieldid int, paperid int ) CREATE TABLE author ( authorid int, authorname varchar ) CREATE TABLE paperkeyphrase ( paperid int, keyphraseid int ) CREATE TABLE paperdataset ( paperid int, datasetid int ) CREATE TABLE field ( fieldid int ) CREATE TABLE key...
SELECT DISTINCT paper.journalid, venue.venueid FROM author, paper, venue, writes WHERE author.authorname = 'li dong' AND venue.venueid = paper.venueid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1040, 1846, 41, 1057, 23, 26, 16, 17, 6, 1040, 23, 26, 16, 17, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 2291, 41, 2291, 23, 26, 16, 17, 6, 2291, 4350, 3, 4331,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 15438, 25424, 6227, 1040, 5, 25340, 23, 26, 6, 5669, 5, 15098, 23, 26, 21680, 2291, 6, 1040, 6, 5669, 6, 11858, 549, 17444, 427, 2291, 5, 17415, 4350, 3274, 3, 31, 40, 23, 278, 122, 31, 3430, 5669, 5, 15098, ...
What was the resolution for the fight against enrique guzman?
CREATE TABLE table_name_67 ( res VARCHAR, opponent VARCHAR )
SELECT res FROM table_name_67 WHERE opponent = "enrique guzman"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 3, 60, 7, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 3161, 21, 8, 2870, 581, 3, 35, 8673, 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, 0...
[ 3, 23143, 14196, 3, 60, 7, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 15264, 3274, 96, 35, 8673, 3, 1744, 172, 348, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who was the opponent at the game with a score of 35-14?
CREATE TABLE table_name_33 (opponent VARCHAR, score VARCHAR)
SELECT opponent FROM table_name_33 WHERE score = "35-14"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 32, 102, 9977, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 15264, 44, 8, 467, 28, 3, 9, 2604, 13, 30...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15264, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 2604, 3274, 96, 2469, 11590, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which race did Mercedes win?
CREATE TABLE table_name_19 ( name VARCHAR, winning_constructor VARCHAR )
SELECT name FROM table_name_19 WHERE winning_constructor = "mercedes"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 564, 584, 4280, 28027, 6, 3447, 834, 15982, 5317, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 1964, 410, 11808, 1369, 58, 1, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4350, 834, 2294, 549, 17444, 427, 3447, 834, 15982, 5317, 3274, 96, 935, 565, 1395, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
List the name and gender for all artists who released songs in March.
CREATE TABLE song (artist_name VARCHAR, releasedate VARCHAR); CREATE TABLE artist (artist_name VARCHAR, gender VARCHAR)
SELECT T1.artist_name, T1.gender FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.releasedate LIKE "%Mar%"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2324, 41, 1408, 343, 834, 4350, 584, 4280, 28027, 6, 1883, 342, 584, 4280, 28027, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 2377, 41, 1408, 343, 834, 4350, 584, 4280, 28...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 5411, 1408, 343, 834, 4350, 6, 332, 5411, 122, 3868, 21680, 2377, 6157, 332, 536, 3, 15355, 3162, 2324, 6157, 332, 357, 9191, 332, 5411, 1408, 343, 834, 4350, 3274, 332, 4416, 1408, 343, 834, 4350, 549, 17444, ...
Draw a bar chart about the distribution of name and meter_100 , sort from low to high by the X.
CREATE TABLE record ( ID int, Result text, Swimmer_ID int, Event_ID 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_40...
SELECT name, meter_100 FROM swimmer ORDER BY name
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1368, 41, 4699, 16, 17, 6, 3, 20119, 1499, 6, 27813, 935, 834, 4309, 16, 17, 6, 8042, 834, 4309, 16, 17, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 605, 41, 4699, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 564, 6, 3, 4401, 834, 2915, 21680, 27424, 4674, 11300, 272, 476, 564, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was team #1 on 9 September 2006?
CREATE TABLE table_73183 ( "Date" text, "Team #1" text, "Res." text, "Team #2" text, "Competition" text, "Attendance" real, "Remarks" text )
SELECT "Team #1" FROM table_73183 WHERE "Date" = '9 September 2006'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4552, 24361, 41, 96, 308, 342, 121, 1499, 6, 96, 18699, 7172, 121, 1499, 6, 96, 1649, 7, 535, 1499, 6, 96, 18699, 15493, 121, 1499, 6, 96, 5890, 4995, 4749, 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, 18699, 7172, 121, 21680, 953, 834, 4552, 24361, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 1298, 1600, 3581, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score of Bernhard Langer after 3 rounds?
CREATE TABLE table_name_88 ( score VARCHAR, player VARCHAR )
SELECT score FROM table_name_88 WHERE player = "bernhard langer"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 2604, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 2604, 13, 8942, 5651, 7073, 49, 227, 220, 14419, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 1959, 3274, 96, 1152, 29, 5651, 6575, 52, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the ethnic group with a buddhist of 0.19%
CREATE TABLE table_52056 ( "Ethnic group" text, "Christian" text, "Buddhist" text, "Hindu" text, "Jewish" text, "Muslim" text, "Sikh" text, "Other" text, "No religion" text, "Not stated" text )
SELECT "Ethnic group" FROM table_52056 WHERE "Buddhist" = '0.19%'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25356, 4834, 41, 96, 427, 189, 2532, 563, 121, 1499, 6, 96, 28412, 121, 1499, 6, 96, 7793, 26, 26, 107, 343, 121, 1499, 6, 96, 566, 13580, 121, 1499, 6, 96, 7851, 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, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 427, 189, 2532, 563, 121, 21680, 953, 834, 25356, 4834, 549, 17444, 427, 96, 7793, 26, 26, 107, 343, 121, 3274, 3, 31, 16029, 7561, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the isotopic mass (u) when the nuclide is 89 y?
CREATE TABLE table_name_6 (isotopic_mass___u__ VARCHAR, nuclide VARCHAR)
SELECT isotopic_mass___u__ FROM table_name_6 WHERE nuclide = "89 y"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 159, 32, 19710, 834, 2754, 7, 834, 834, 834, 76, 834, 834, 584, 4280, 28027, 6, 206, 14758, 221, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 36...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 19, 32, 19710, 834, 2754, 7, 834, 834, 834, 76, 834, 834, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 206, 14758, 221, 3274, 96, 3914, 3, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the average value for events won by KCL in a year earlier than 2004?
CREATE TABLE table_44435 ( "Year" real, "Date held" text, "Winner" text, "Events won by KCL" real, "Events won by KCLMS" real )
SELECT AVG("Events won by KCL") FROM table_44435 WHERE "Year" < '2004'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 3628, 2469, 41, 96, 476, 2741, 121, 490, 6, 96, 308, 342, 1213, 121, 1499, 6, 96, 18455, 687, 121, 1499, 6, 96, 427, 2169, 7, 751, 57, 480, 8440, 121, 490, 6, 96, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 121, 427, 2169, 7, 751, 57, 480, 8440, 8512, 21680, 953, 834, 591, 3628, 2469, 549, 17444, 427, 96, 476, 2741, 121, 3, 2, 3, 31, 21653, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
count the number of patients whose diagnoses icd9 code is 28860 and drug route is ih?
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 t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "28860" AND prescriptions.route = "IH"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14798, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 564, 1499, 6, 2774, 1947, 834, 8547, 302, 1499, 6, 1246, 1499, 6, 103, 115, 1499, 6, 7285, 1499, 6, 1612, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 3...
Where was the game played on 2004-06-23?
CREATE TABLE table_43716 ( "Date" text, "Venue" text, "Opponents" text, "Score" text, "Comp" text )
SELECT "Venue" FROM table_43716 WHERE "Date" = '2004-06-23'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 4118, 2938, 41, 96, 308, 342, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 667, 102, 9977, 7, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 5890, 102, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 553, 35, 76, 15, 121, 21680, 953, 834, 591, 4118, 2938, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 21653, 18, 5176, 18, 2773, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the most pick number for guard and kansas city chiefs
CREATE TABLE table_27368 ( "Pick #" real, "NFL Team" text, "Player" text, "Position" text, "College" text )
SELECT MAX("Pick #") FROM table_27368 WHERE "Position" = 'Guard' AND "NFL Team" = 'Kansas City Chiefs'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 519, 3651, 41, 96, 345, 3142, 1713, 121, 490, 6, 96, 12619, 434, 2271, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 9939, 78...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 345, 3142, 1713, 8512, 21680, 953, 834, 2555, 519, 3651, 549, 17444, 427, 96, 345, 32, 7, 4749, 121, 3274, 3, 31, 9105, 986, 31, 3430, 96, 12619, 434, 2271, 121, 3274, 3, 31, 439, 3247, 9, 7, ...
What are the average scores of participants with 9.226 in evening gown
CREATE TABLE table_17088705_2 (average VARCHAR, evening_gown VARCHAR)
SELECT average FROM table_17088705_2 WHERE evening_gown = "9.226"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4018, 4225, 3076, 834, 357, 41, 28951, 584, 4280, 28027, 6, 2272, 834, 122, 9197, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 8, 1348, 7586, 13, 3008,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1348, 21680, 953, 834, 2517, 4018, 4225, 3076, 834, 357, 549, 17444, 427, 2272, 834, 122, 9197, 3274, 96, 8797, 357, 2688, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many of the female patients belonged to a black/haitian ethnic origin?
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 ( ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.ethnicity = "BLACK/HAITIAN"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 18730, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 549, 17444, 427, 14798, 5, 122, 3868, 3274, 96, 371, 121, 3430, 14798, 5, 15, 189, 2532, 485, 3274, 96, 8775, 15339, 87, 54...
What's the record on April 12 when the location was The Omni?
CREATE TABLE table_63254 ( "Game" text, "Date" text, "Opponent" text, "Score" text, "Location/Attendance" text, "Record" text )
SELECT "Record" FROM table_63254 WHERE "Location/Attendance" = 'the omni' AND "Date" = 'april 12'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3891, 1828, 591, 41, 96, 23055, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 434, 32, 75, 257, 87, 188, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 1649, 7621, 121, 21680, 953, 834, 3891, 1828, 591, 549, 17444, 427, 96, 434, 32, 75, 257, 87, 188, 17, 324, 26, 663, 121, 3274, 3, 31, 532, 3, 16378, 31, 3430, 96, 308, 342, 121, 3274, 3, 31, 9, 2246, 40, ...
How many students are advised by each rank of faculty? List the rank and the number of students. Show the proportion.
CREATE TABLE Faculty ( FacID INTEGER, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) CREATE TABLE Activity ( actid INTEGER, activity_name varchar(25) ) CREATE TABLE Participates_in ( stuid INTEG...
SELECT Rank, COUNT(*) FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.Advisor GROUP BY T1.Rank
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 16896, 41, 1699, 75, 4309, 3, 21342, 17966, 6, 301, 4350, 584, 4280, 28027, 599, 1808, 201, 377, 4350, 584, 4280, 28027, 599, 1808, 201, 3, 22557, 584, 4280, 28027, 599, 1808, 201, 679...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 22557, 6, 2847, 17161, 599, 1935, 61, 21680, 16896, 6157, 332, 536, 3, 15355, 3162, 6341, 6157, 332, 357, 9191, 332, 5411, 371, 9, 75, 4309, 3274, 332, 4416, 188, 26, 24680, 350, 4630, 6880, 272, 476, 332, 5411, ...
what is the mascot of st. paul's school?
CREATE TABLE table_26801 ( "School" text, "Mascot" text, "Location" text, "Founded" real, "Entered ISL" real, "Grades" text, "Number of Students" text, "Varsity Teams" real )
SELECT "Mascot" FROM table_26801 WHERE "School" = 'St. Paul''s School'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 2079, 536, 41, 96, 29364, 121, 1499, 6, 96, 329, 9, 7, 4310, 121, 1499, 6, 96, 434, 32, 75, 257, 121, 1499, 6, 96, 20100, 121, 490, 6, 96, 16924, 3737, 27, 5629, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 329, 9, 7, 4310, 121, 21680, 953, 834, 2688, 2079, 536, 549, 17444, 427, 96, 29364, 121, 3274, 3, 31, 134, 17, 5, 1838, 31, 31, 7, 1121, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What time did the match with an away team of Happy Valley Team B start?
CREATE TABLE table_name_30 (time VARCHAR, away_team VARCHAR)
SELECT time FROM table_name_30 WHERE away_team = "happy valley team b"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 715, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 97, 410, 8, 1588, 28, 46, 550, 372, 13, 5574, 3460...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 97, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 550, 834, 11650, 3274, 96, 1024, 9632, 10645, 372, 3, 115, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What vehicle has an epa highway fuel economy of 109 mpg-e?
CREATE TABLE table_20549371_3 ( vehicle VARCHAR, epa_rated_highway_fuel_economy VARCHAR )
SELECT vehicle FROM table_20549371_3 WHERE epa_rated_highway_fuel_economy = "109 mpg-e"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1755, 5062, 4271, 4450, 834, 519, 41, 1689, 584, 4280, 28027, 6, 3, 15, 102, 9, 834, 4094, 834, 6739, 1343, 834, 21692, 834, 15, 12036, 63, 584, 4280, 28027, 3, 61, 3, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1689, 21680, 953, 834, 1755, 5062, 4271, 4450, 834, 519, 549, 17444, 427, 3, 15, 102, 9, 834, 4094, 834, 6739, 1343, 834, 21692, 834, 15, 12036, 63, 3274, 96, 17304, 3, 1167, 122, 18, 15, 121, 1, -100, -100, -100,...
When the winner was Alessandro Ballan, how many total team classifications were there?
CREATE TABLE table_15294880_2 (team_classification VARCHAR, winner VARCHAR)
SELECT COUNT(team_classification) FROM table_15294880_2 WHERE winner = "Alessandro Ballan"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1808, 3166, 3707, 2079, 834, 357, 41, 11650, 834, 4057, 2420, 584, 4280, 28027, 6, 4668, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 366, 8, 4668, 47, 71, 924, 9, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 11650, 834, 4057, 2420, 61, 21680, 953, 834, 1808, 3166, 3707, 2079, 834, 357, 549, 17444, 427, 4668, 3274, 96, 188, 924, 9, 22357, 4155, 152, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
How much was the prize money for rwe-sporthalle, mülheim ?
CREATE TABLE table_18828487_1 (prize_fund VARCHAR, venue VARCHAR)
SELECT prize_fund FROM table_18828487_1 WHERE venue = "RWE-Sporthalle, Mülheim"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2606, 4613, 4608, 4225, 834, 536, 41, 2246, 776, 834, 7610, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 231, 47, 8, 6441, 540, 21, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6441, 834, 7610, 21680, 953, 834, 2606, 4613, 4608, 4225, 834, 536, 549, 17444, 427, 5669, 3274, 96, 448, 15713, 18, 17682, 18369, 6, 11412, 40, 3254, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the transcription for the English word March?
CREATE TABLE table_name_11 ( transcription VARCHAR, english_name VARCHAR )
SELECT transcription FROM table_name_11 WHERE english_name = "march"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 20267, 584, 4280, 28027, 6, 22269, 834, 4350, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 20267, 21, 8, 1566, 1448, 1332, 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, 0...
[ 3, 23143, 14196, 20267, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 22269, 834, 4350, 3274, 96, 51, 7064, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the location of the school named Brisbane Girls' Grammar School?
CREATE TABLE table_11318462_29 (location VARCHAR, school VARCHAR)
SELECT location FROM table_11318462_29 WHERE school = "Brisbane Girls' Grammar school"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20522, 25987, 4056, 834, 3166, 41, 14836, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1128, 13, 8, 496, 2650, 19286, 13312, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 21680, 953, 834, 20522, 25987, 4056, 834, 3166, 549, 17444, 427, 496, 3274, 96, 279, 52, 159, 3478, 15, 13312, 31, 30751, 496, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the name of person that scored 10 goals?
CREATE TABLE table_16901 ( "number" real, "date of debut" text, "name" text, "date of birth" text, "number of caps" real, "number of goals" real, "date of death\u2020" text )
SELECT "name" FROM table_16901 WHERE "number of goals" = '10'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27096, 4542, 41, 96, 5525, 1152, 121, 490, 6, 96, 5522, 13, 5695, 121, 1499, 6, 96, 4350, 121, 1499, 6, 96, 5522, 13, 3879, 121, 1499, 6, 96, 5525, 1152, 13, 16753, 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, 4350, 121, 21680, 953, 834, 27096, 4542, 549, 17444, 427, 96, 5525, 1152, 13, 1766, 121, 3274, 3, 31, 1714, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the opponent on april 24, 1999?
CREATE TABLE table_60477 ( "Edition" text, "Round" text, "Date" text, "Surface" text, "Opponent" text, "Result" text )
SELECT "Opponent" FROM table_60477 WHERE "Date" = 'april 24, 1999'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3328, 591, 4013, 41, 96, 427, 10569, 121, 1499, 6, 96, 448, 32, 1106, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 134, 450, 4861, 121, 1499, 6, 96, 667, 102, 9977, 12...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 667, 102, 9977, 121, 21680, 953, 834, 3328, 591, 4013, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 9, 2246, 40, 14320, 5247, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who is moving with the nationality of Tri?
CREATE TABLE table_name_78 (moving_to VARCHAR, nat VARCHAR)
SELECT moving_to FROM table_name_78 WHERE nat = "tri"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 7168, 53, 834, 235, 584, 4280, 28027, 6, 3, 29, 144, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 19, 1735, 28, 8, 1157, 485, 13, 2702, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1735, 834, 235, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 3, 29, 144, 3274, 96, 1788, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what's the result with candidates being charles edward bennett (d) unopposed
CREATE TABLE table_18498 ( "District" text, "Incumbent" text, "Party" text, "First elected" real, "Result" text, "Candidates" text )
SELECT "Result" FROM table_18498 WHERE "Candidates" = 'Charles Edward Bennett (D) Unopposed'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25987, 3916, 41, 96, 308, 23, 20066, 121, 1499, 6, 96, 1570, 75, 5937, 295, 121, 1499, 6, 96, 13725, 63, 121, 1499, 6, 96, 25171, 8160, 121, 490, 6, 96, 20119, 121, 1499,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 20119, 121, 21680, 953, 834, 25987, 3916, 549, 17444, 427, 96, 14050, 12416, 6203, 121, 3274, 3, 31, 18947, 965, 8200, 23464, 41, 308, 61, 597, 28236, 3843, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the description of the restaurant type Sandwich?
CREATE TABLE Restaurant_Type (ResTypeDescription VARCHAR, ResTypeName VARCHAR)
SELECT ResTypeDescription FROM Restaurant_Type WHERE ResTypeName = "Sandwich"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6233, 834, 25160, 41, 1649, 7, 25160, 2962, 11830, 584, 4280, 28027, 6, 7127, 25160, 23954, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 4210, 13, 8, 2062, 686, 304...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7127, 25160, 2962, 11830, 21680, 6233, 834, 25160, 549, 17444, 427, 7127, 25160, 23954, 3274, 96, 134, 232, 210, 362, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what is the competition when the date is 16 january 1996?
CREATE TABLE table_45341 ( "Date" text, "Venue" text, "Score" text, "Result" text, "Competition" text )
SELECT "Competition" FROM table_45341 WHERE "Date" = '16 january 1996'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2128, 3710, 536, 41, 96, 308, 342, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 5890, 4995, 4749, 121, 149...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 5890, 4995, 4749, 121, 21680, 953, 834, 2128, 3710, 536, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 2938, 3, 7066, 76, 1208, 6911, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
List the candidates in district Maryland 1 where the republican party won.
CREATE TABLE table_18147 ( "District" text, "Incumbent" text, "Party" text, "First elected" real, "Results" text, "Candidates" text )
SELECT "Candidates" FROM table_18147 WHERE "Party" = 'Republican' AND "District" = 'Maryland 1'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2606, 24719, 41, 96, 308, 23, 20066, 121, 1499, 6, 96, 1570, 75, 5937, 295, 121, 1499, 6, 96, 13725, 63, 121, 1499, 6, 96, 25171, 8160, 121, 490, 6, 96, 20119, 7, 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, 14050, 12416, 6203, 121, 21680, 953, 834, 2606, 24719, 549, 17444, 427, 96, 13725, 63, 121, 3274, 3, 31, 1649, 15727, 152, 31, 3430, 96, 308, 23, 20066, 121, 3274, 3, 31, 7286, 28900, 209, 31, 1, -100, -100, -...
Where is Bloomington High School North?
CREATE TABLE table_1984697_53 ( city___town VARCHAR, school VARCHAR )
SELECT city___town FROM table_1984697_53 WHERE school = "Bloomington High school North"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24151, 4448, 4327, 834, 4867, 41, 690, 834, 834, 834, 3540, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2840, 19, 17762, 6029, 1592, 112...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 690, 834, 834, 834, 3540, 21680, 953, 834, 24151, 4448, 4327, 834, 4867, 549, 17444, 427, 496, 3274, 96, 279, 14351, 6029, 1592, 496, 1117, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the Domari associated with a Persian of yak, yek?
CREATE TABLE table_38099 ( "Hindi" text, "Romani" text, "Domari" text, "Lomavren" text, "Persian" text )
SELECT "Domari" FROM table_38099 WHERE "Persian" = 'yak, yek'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 22671, 3264, 41, 96, 566, 8482, 121, 1499, 6, 96, 25139, 23, 121, 1499, 6, 96, 4135, 17289, 121, 1499, 6, 96, 434, 32, 51, 9, 10859, 29, 121, 1499, 6, 96, 12988, 10488, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4135, 17289, 121, 21680, 953, 834, 22671, 3264, 549, 17444, 427, 96, 12988, 10488, 121, 3274, 3, 31, 20856, 6, 3, 63, 15, 157, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
what is the rank number of stefan shalamanov in the slalom event
CREATE TABLE table_204_169 ( id number, "athlete" text, "event" text, "race 1\ntime" text, "race 2\ntime" text, "total\ntime" text, "total\nrank" number )
SELECT "total\nrank" FROM table_204_169 WHERE "athlete" = 'stefan shalamanov' AND "event" = 'slalom'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 27096, 41, 3, 23, 26, 381, 6, 96, 26170, 15, 121, 1499, 6, 96, 15, 2169, 121, 1499, 6, 96, 12614, 209, 2, 29, 715, 121, 1499, 6, 96, 12614, 204, 2, 29, 71...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 235, 1947, 2, 29, 6254, 121, 21680, 953, 834, 26363, 834, 27096, 549, 17444, 427, 96, 26170, 15, 121, 3274, 3, 31, 7, 24018, 3, 7, 3828, 265, 9, 5326, 31, 3430, 96, 15, 2169, 121, 3274, 3, 31, 7, 40, 138, ...
how many patients with newborn primary disease had joint fluid lab test?
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 t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "NEWBORN" AND lab.fluid = "Joint Fluid"
[ 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, 7690, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7690, 5, 8399, 51, 834, 23, 26, 549, 17444,...
who finished before nate boyle for the united states ?
CREATE TABLE table_204_433 ( id number, "rank" number, "name" text, "nationality" text, "time" text )
SELECT "name" FROM table_204_433 WHERE id = (SELECT id FROM table_204_433 WHERE "name" = 'nate boyle') - 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 4906, 519, 41, 3, 23, 26, 381, 6, 96, 6254, 121, 381, 6, 96, 4350, 121, 1499, 6, 96, 16557, 485, 121, 1499, 6, 96, 715, 121, 1499, 3, 61, 3, 32102, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 96, 4350, 121, 21680, 953, 834, 26363, 834, 4906, 519, 549, 17444, 427, 3, 23, 26, 3274, 41, 23143, 14196, 3, 23, 26, 21680, 953, 834, 26363, 834, 4906, 519, 549, 17444, 427, 96, 4350, 121, 3274, 3, 31, 29, 342, ...
shows for the artist Santana featuring the product g&b?
CREATE TABLE table_name_78 (volume VARCHAR, artist VARCHAR)
SELECT volume AS :issue FROM table_name_78 WHERE artist = "santana featuring the product g&b"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 23439, 584, 4280, 28027, 6, 2377, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 1267, 21, 8, 2377, 4625, 29, 9, 4767, 8, 556, 3, 122, 184, 115, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2908, 6157, 3, 10, 13159, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 2377, 3274, 96, 7, 288, 152, 9, 4767, 8, 556, 3, 122, 184, 115, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is Time, when Meet is "Duel in the Pool", and when Date is "19 December 2009"?
CREATE TABLE table_name_62 (time VARCHAR, meet VARCHAR, date VARCHAR)
SELECT time FROM table_name_62 WHERE meet = "duel in the pool" AND date = "19 december 2009"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 715, 584, 4280, 28027, 6, 942, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 2900, 6, 116, 12325, 19, 96, 129...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 97, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 942, 3274, 96, 1259, 15, 40, 16, 8, 2201, 121, 3430, 833, 3274, 96, 2294, 20, 75, 18247, 2464, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who was drafted by the Baltimore Colts?
CREATE TABLE table_2508633_3 ( player VARCHAR, nfl_team VARCHAR )
SELECT player FROM table_2508633_3 WHERE nfl_team = "Baltimore Colts"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 11434, 3840, 4201, 834, 519, 41, 1959, 584, 4280, 28027, 6, 3, 29, 89, 40, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 3, 23505, 57, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 11434, 3840, 4201, 834, 519, 549, 17444, 427, 3, 29, 89, 40, 834, 11650, 3274, 96, 279, 2920, 23, 3706, 3043, 17, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which 2nd (m) is the highest one that has a Nationality of sui, and a Rank smaller than 3?
CREATE TABLE table_name_78 (nationality VARCHAR, rank VARCHAR)
SELECT MAX(2 AS nd__m_) FROM table_name_78 WHERE nationality = "sui" AND rank < 3
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 16557, 485, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 204, 727, 41, 51, 61, 19, 8, 2030, 80, 24, 65, 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, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 357, 6157, 3, 727, 834, 834, 51, 834, 61, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 1157, 485, 3274, 96, 7, 76, 23, 121, 3430, 11003, 3, 2, 220, 1, -100, -100, -100, -100, -100, -100, -100...
What was the result of the game played in hurst?
CREATE TABLE table_37892 ( "Date" text, "Round" text, "Opponents" text, "H / A" text, "Result F \u2013 A" text )
SELECT "Result F \u2013 A" FROM table_37892 WHERE "H / A" = 'hurst'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4118, 3914, 357, 41, 96, 308, 342, 121, 1499, 6, 96, 448, 32, 1106, 121, 1499, 6, 96, 667, 102, 9977, 7, 121, 1499, 6, 96, 566, 3, 87, 71, 121, 1499, 6, 96, 20119, 37...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 20119, 377, 3, 2, 76, 11138, 71, 121, 21680, 953, 834, 4118, 3914, 357, 549, 17444, 427, 96, 566, 3, 87, 71, 121, 3274, 3, 31, 23765, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Top-10 has a Cuts made larger than 42?
CREATE TABLE table_name_57 ( top_10 INTEGER, cuts_made INTEGER )
SELECT MIN(top_10) FROM table_name_57 WHERE cuts_made > 42
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 420, 834, 1714, 3, 21342, 17966, 6, 8620, 834, 4725, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 2224, 4536, 65, 3, 9, 6868, 7, 263, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 2916, 834, 16968, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 8620, 834, 4725, 2490, 6426, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
does evansville have more than 4 stations ?
CREATE TABLE table_204_12 ( id number, "area served" text, "city of license" text, "vc" number, "rf" number, "callsign" text, "network" text, "notes" text )
SELECT (SELECT COUNT(*) FROM table_204_12 WHERE "city of license" = 'evansville') > 4
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 2122, 41, 3, 23, 26, 381, 6, 96, 498, 2098, 121, 1499, 6, 96, 6726, 13, 3344, 121, 1499, 6, 96, 208, 75, 121, 381, 6, 96, 52, 89, 121, 381, 6, 96, 16482, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 41, 23143, 14196, 2847, 17161, 599, 1935, 61, 21680, 953, 834, 26363, 834, 2122, 549, 17444, 427, 96, 6726, 13, 3344, 121, 3274, 3, 31, 15, 2132, 9727, 31, 61, 2490, 314, 1, -100, -100, -100, -100, -100, -100, -100,...
get me the number of patients born before 2101 who have dwell route of drug administration.
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2101" AND prescriptions.route = "DWELL"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 4293, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 447, 26, 1298, 834, 4978, 1499, 6, 710, 834, 21869, 1499, 6, 307, 834, 21869, 1499, 3, 61, 3, 32102, 32103...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 7744, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7744, 7, 5, 8399, 51, 834, 23, 26, 549...
Who was responsible for the land of the biggest fire in Oregon in 2015?
CREATE TABLE fires ( fire_year number, discovery_date number, discovery_doy number, discovery_time text, stat_cause_code number, stat_cause_descr text, cont_date text, cont_doy text, cont_time text, fire_size number, fire_size_class text, latitude number, longitude nu...
SELECT owner_descr FROM fires WHERE state = "OR" AND fire_year = 2015 ORDER BY fire_size DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1472, 7, 41, 1472, 834, 1201, 381, 6, 9087, 834, 5522, 381, 6, 9087, 834, 26, 32, 63, 381, 6, 9087, 834, 715, 1499, 6, 3089, 834, 658, 1074, 834, 4978, 381, 6, 3089, 834, 658, 10...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2527, 834, 26, 1579, 52, 21680, 1472, 7, 549, 17444, 427, 538, 3274, 96, 2990, 121, 3430, 1472, 834, 1201, 3274, 1230, 4674, 11300, 272, 476, 1472, 834, 7991, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, -100, ...
what is the cerclis ID when the site was proposed on 12/30/1982 and was partially deleted on 05/01/2003?
CREATE TABLE table_name_74 ( cerclis_id VARCHAR, proposed VARCHAR, partially_deleted VARCHAR )
SELECT cerclis_id FROM table_name_74 WHERE proposed = "12/30/1982" AND partially_deleted = "05/01/2003"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 19259, 40, 159, 834, 23, 26, 584, 4280, 28027, 6, 4382, 584, 4280, 28027, 6, 14610, 834, 26, 400, 1054, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 19259, 40, 159, 834, 23, 26, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 4382, 3274, 96, 2122, 87, 1458, 13523, 4613, 121, 3430, 14610, 834, 26, 400, 1054, 3274, 96, 3076, 29511, 23948, 121, 1, -100, -100, -1...
What was the gender of the contestant on RR: South Pacific season?
CREATE TABLE table_22747 ( "Player" text, "Original Season" text, "Gender" text, "Eliminated" text, "Placing" text )
SELECT "Gender" FROM table_22747 WHERE "Original Season" = 'RR: South Pacific'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 2555, 4177, 41, 96, 15800, 49, 121, 1499, 6, 96, 667, 3380, 10270, 7960, 121, 1499, 6, 96, 517, 3868, 121, 1499, 6, 96, 427, 4941, 77, 920, 121, 1499, 6, 96, 345, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 517, 3868, 121, 21680, 953, 834, 357, 2555, 4177, 549, 17444, 427, 96, 667, 3380, 10270, 7960, 121, 3274, 3, 31, 12224, 10, 1013, 5824, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the lost with tries for?
CREATE TABLE table_573 ( "Club" text, "Played" text, "Won" text, "Drawn" text, "Lost" text, "Points for" text, "Points against" text, "Tries for" text, "Tries against" text, "Try bonus" text, "Losing bonus" text, "Points" text )
SELECT "Lost" FROM table_573 WHERE "Tries for" = 'Tries for'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3436, 519, 41, 96, 254, 11158, 121, 1499, 6, 96, 15800, 15, 26, 121, 1499, 6, 96, 518, 106, 121, 1499, 6, 96, 308, 10936, 29, 121, 1499, 6, 96, 434, 3481, 121, 1499, 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, 434, 3481, 121, 21680, 953, 834, 3436, 519, 549, 17444, 427, 96, 382, 2593, 21, 121, 3274, 3, 31, 382, 2593, 21, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the least points with chassis of kurtis kraft 3000 and year before 1951
CREATE TABLE table_68671 ( "Year" real, "Entrant" text, "Chassis" text, "Engine" text, "Points" real )
SELECT MIN("Points") FROM table_68671 WHERE "Chassis" = 'kurtis kraft 3000' AND "Year" < '1951'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3651, 3708, 536, 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,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 22512, 7, 8512, 21680, 953, 834, 3651, 3708, 536, 549, 17444, 427, 96, 3541, 6500, 7, 121, 3274, 3, 31, 10923, 17, 159, 3, 11326, 220, 2313, 31, 3430, 96, 476, 2741, 121, 3, 2, 3, 31, 2294, ...
What year did Austria-Marlboro BRM get more than 0 points?
CREATE TABLE table_name_99 (year INTEGER, entrant VARCHAR, points VARCHAR)
SELECT AVG(year) FROM table_name_99 WHERE entrant = "austria-marlboro brm" AND points > 0
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 1201, 3, 21342, 17966, 6, 3, 295, 3569, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 215, 410, 9652, 18, 7286, 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, 71, 17217, 599, 1201, 61, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 3, 295, 3569, 3274, 96, 402, 23387, 18, 1635, 40, 14901, 6397, 51, 121, 3430, 979, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, ...
what is the difference in sales from the highest sales to the lowest sales ?
CREATE TABLE table_203_7 ( id number, "pos." number, "artist" text, "single" text, "year" number, "sales" number, "peak" number )
SELECT MAX("sales") - MIN("sales") FROM table_203_7
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 940, 41, 3, 23, 26, 381, 6, 96, 2748, 535, 381, 6, 96, 1408, 343, 121, 1499, 6, 96, 7, 53, 109, 121, 1499, 6, 96, 1201, 121, 381, 6, 96, 7, 4529, 121, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 7, 4529, 8512, 3, 18, 3, 17684, 599, 121, 7, 4529, 8512, 21680, 953, 834, 23330, 834, 940, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When 4.5 is the percentage of change how many population counts were made for 2011?
CREATE TABLE table_22728 ( "Name" text, "Population (2011)" real, "Population (2006)" real, "Change (%)" text, "Land area (km\u00b2)" text, "Population density (per km\u00b2)" text )
SELECT COUNT("Population (2011)") FROM table_22728 WHERE "Change (%)" = '4.5'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 2555, 2577, 41, 96, 23954, 121, 1499, 6, 96, 27773, 7830, 25163, 121, 490, 6, 96, 27773, 7830, 28272, 121, 490, 6, 96, 3541, 3280, 41, 6210, 121, 1499, 6, 96, 434, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 27773, 7830, 25163, 8512, 21680, 953, 834, 357, 2555, 2577, 549, 17444, 427, 96, 3541, 3280, 41, 6210, 121, 3274, 3, 31, 12451, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...