NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
What net assets at end of year also has $736,132 as the increase in net assets?
CREATE TABLE table_63916 ( "Year" text, "Total Support and Revenue" text, "Total Expenses" text, "Increase in Net Assets" text, "Net Assets at End of Year" text )
SELECT "Net Assets at End of Year" FROM table_63916 WHERE "Increase in Net Assets" = '$736,132'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 948, 3288, 2938, 41, 96, 476, 2741, 121, 1499, 6, 96, 3696, 1947, 4224, 11, 19764, 121, 1499, 6, 96, 3696, 1947, 3, 12882, 5167, 7, 121, 1499, 6, 96, 1570, 24706, 16, 654...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9688, 18202, 7, 44, 3720, 13, 2929, 121, 21680, 953, 834, 948, 3288, 2938, 549, 17444, 427, 96, 1570, 24706, 16, 6540, 18202, 7, 121, 3274, 3, 31, 3229, 4552, 11071, 23757, 31, 1, -100, -100, -100, -100, -100, ...
Name the total number of years for quarterfinals
CREATE TABLE table_name_35 ( year VARCHAR, playoffs VARCHAR )
SELECT COUNT(year) FROM table_name_35 WHERE playoffs = "quarterfinals"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 215, 584, 4280, 28027, 6, 15289, 7, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 792, 381, 13, 203, 21, 2893, 12406, 7, 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, 2847, 17161, 599, 1201, 61, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 15289, 7, 3274, 96, 19973, 12406, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
If the Away team score was 14.10 (94), which Date was that?
CREATE TABLE table_54571 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT "Date" FROM table_54571 WHERE "Away team score" = '14.10 (94)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 2128, 4450, 41, 96, 19040, 372, 121, 1499, 6, 96, 19040, 372, 2604, 121, 1499, 6, 96, 188, 1343, 372, 121, 1499, 6, 96, 188, 1343, 372, 2604, 121, 1499, 6, 96, 553, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 308, 342, 121, 21680, 953, 834, 755, 2128, 4450, 549, 17444, 427, 96, 188, 1343, 372, 2604, 121, 3274, 3, 31, 2534, 5, 1714, 14156, 7256, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the McCain vote percentage in Jerome county?
CREATE TABLE table_73228 ( "County" text, "Obama%" text, "Obama#" real, "McCain%" text, "McCain#" real )
SELECT "McCain%" FROM table_73228 WHERE "County" = 'Jerome'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4552, 357, 2577, 41, 96, 10628, 63, 121, 1499, 6, 96, 667, 115, 265, 9, 1454, 121, 1499, 6, 96, 667, 115, 265, 9, 4663, 121, 490, 6, 96, 329, 75, 254, 9, 77, 1454, 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, 329, 75, 254, 9, 77, 1454, 121, 21680, 953, 834, 4552, 357, 2577, 549, 17444, 427, 96, 10628, 63, 121, 3274, 3, 31, 7851, 11956, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
how many patients whose primary disease is liver transplant and admission year is less than 2170?
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "LIVER TRANSPLANT" AND demographic.admityear < "2170"
[ 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, 549, 17444, 427, 14798, 5, 25930, 4844, 159, 3274, 96, 8159, 16174, 26585, 5329, 9156, 121, 3430, 14798, 5, 20466, 17, 1201, ...
Result of l 17–20 had what attendance?
CREATE TABLE table_name_31 (attendance VARCHAR, result VARCHAR)
SELECT attendance FROM table_name_31 WHERE result = "l 17–20"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 15116, 663, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 3, 20119, 13, 3, 40, 1003, 104, 1755, 141, 125, 11364, 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, 11364, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 741, 3274, 96, 40, 1003, 104, 1755, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who was the entrant for Louis Chiron with a Chassis of T26C?
CREATE TABLE table_name_95 (entrant VARCHAR, driver VARCHAR, chassis VARCHAR)
SELECT entrant FROM table_name_95 WHERE driver = "louis chiron" AND chassis = "t26c"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 295, 3569, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 6, 22836, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 3, 295, 3569, 21, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 295, 3569, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 2535, 3274, 96, 40, 1063, 159, 3, 11727, 106, 121, 3430, 22836, 3274, 96, 17, 2688, 75, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which 1998 tournament had a performance of 3R in 2007?
CREATE TABLE table_54101 ( "Tournament" text, "1998" text, "1999" text, "2000" text, "2001" text, "2002" text, "2003" text, "2004" text, "2005" text, "2006" text, "2007" text, "Career SR" text )
SELECT "1998" FROM table_54101 WHERE "2007" = '3r'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 5062, 19621, 41, 96, 382, 1211, 20205, 17, 121, 1499, 6, 96, 2294, 3916, 121, 1499, 6, 96, 2294, 3264, 121, 1499, 6, 96, 13527, 121, 1499, 6, 96, 23658, 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, 2294, 3916, 121, 21680, 953, 834, 5062, 19621, 549, 17444, 427, 96, 20615, 121, 3274, 3, 31, 519, 52, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the total number of communities with a target date of 2015 ?
CREATE TABLE table_204_321 ( id number, "community" text, "currency" text, "region" text, "target date" number, "notes" text )
SELECT COUNT("community") FROM table_204_321 WHERE "target date" = 2015
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 519, 2658, 41, 3, 23, 26, 381, 6, 96, 18782, 485, 121, 1499, 6, 96, 3663, 52, 4392, 121, 1499, 6, 96, 18145, 121, 1499, 6, 96, 24315, 833, 121, 381, 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, 18782, 485, 8512, 21680, 953, 834, 26363, 834, 519, 2658, 549, 17444, 427, 96, 24315, 833, 121, 3274, 1230, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the different card types, and how many transactions have been made with each Visualize by bar chart, could you order bars in asc order?
CREATE TABLE Financial_Transactions ( transaction_id INTEGER, previous_transaction_id INTEGER, account_id INTEGER, card_id INTEGER, transaction_type VARCHAR(15), transaction_date DATETIME, transaction_amount DOUBLE, transaction_comment VARCHAR(255), other_transaction_details VARCHAR(255) ) CREATE TABLE Customers_Cards ( card_id INTEGER, customer_id INTEGER, card_type_code VARCHAR(15), card_number VARCHAR(80), date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR(255) ) CREATE TABLE Customers ( customer_id INTEGER, customer_first_name VARCHAR(20), customer_last_name VARCHAR(20), customer_address VARCHAR(255), customer_phone VARCHAR(255), customer_email VARCHAR(255), other_customer_details VARCHAR(255) ) CREATE TABLE Accounts ( account_id INTEGER, customer_id INTEGER, account_name VARCHAR(50), other_account_details VARCHAR(255) )
SELECT card_type_code, COUNT(*) FROM Financial_Transactions AS T1 JOIN Customers_Cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code ORDER BY card_type_code
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 5421, 834, 18474, 4787, 7, 41, 5878, 834, 23, 26, 3, 21342, 17966, 6, 1767, 834, 7031, 4787, 834, 23, 26, 3, 21342, 17966, 6, 905, 834, 23, 26, 3, 21342, 17966, 6, 895, 834, 23, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 895, 834, 6137, 834, 4978, 6, 2847, 17161, 599, 1935, 61, 21680, 5421, 834, 18474, 4787, 7, 6157, 332, 536, 3, 15355, 3162, 16423, 834, 6936, 26, 7, 6157, 332, 357, 9191, 332, 5411, 6043, 834, 23, 26, 3274, 332, 4...
What place in Lon Hinkle in?
CREATE TABLE table_name_18 (place VARCHAR, player VARCHAR)
SELECT place FROM table_name_18 WHERE player = "lon hinkle"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 4687, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 286, 16, 301, 106, 9515, 9434, 16, 58, 1, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 286, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 1959, 3274, 96, 40, 106, 3811, 9434, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which record has a date of January 29?
CREATE TABLE table_name_35 (record VARCHAR, date VARCHAR)
SELECT record FROM table_name_35 WHERE date = "january 29"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 60, 7621, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 1368, 65, 3, 9, 833, 13, 1762, 2838, 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, 1368, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 833, 3274, 96, 7066, 76, 1208, 2838, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the 2nd ratio of 1996-2002 Dodge Viper?
CREATE TABLE table_1310499_1 (application VARCHAR)
SELECT 2 AS nd FROM table_1310499_1 WHERE application = "1996-2002 Dodge Viper"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2368, 15442, 3264, 834, 536, 41, 12251, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 204, 727, 5688, 13, 6911, 18, 24898, 15153, 1813, 883, 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, 204, 6157, 3, 727, 21680, 953, 834, 2368, 15442, 3264, 834, 536, 549, 17444, 427, 917, 3274, 96, 2294, 4314, 18, 24898, 15153, 1813, 883, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is Venue, when Extra is Pentathlon?
CREATE TABLE table_name_39 (venue VARCHAR, extra VARCHAR)
SELECT venue FROM table_name_39 WHERE extra = "pentathlon"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 15098, 584, 4280, 28027, 6, 996, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 29940, 6, 116, 8505, 19, 4511, 17, 21774, 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, 5669, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 996, 3274, 96, 102, 295, 21774, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Compare the prices of furnitures which some companies are manufacturing by each name using a bar chart, display in desc by the Name.
CREATE TABLE furniture_manufacte ( Manufacturer_ID int, Furniture_ID int, Price_in_Dollar real ) CREATE TABLE furniture ( Furniture_ID int, Name text, Num_of_Component int, Market_Rate real ) CREATE TABLE manufacturer ( Manufacturer_ID int, Open_Year real, Name text, Num_of_Factories int, Num_of_Shops int )
SELECT Name, Price_in_Dollar FROM furniture AS t1 JOIN furniture_manufacte AS t2 ON t1.Furniture_ID = t2.Furniture_ID ORDER BY Name DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1991, 834, 348, 76, 8717, 15, 41, 15248, 834, 4309, 16, 17, 6, 9724, 834, 4309, 16, 17, 6, 5312, 834, 77, 834, 4135, 195, 291, 490, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 5570, 6, 5312, 834, 77, 834, 4135, 195, 291, 21680, 1991, 6157, 3, 17, 536, 3, 15355, 3162, 1991, 834, 348, 76, 8717, 15, 6157, 3, 17, 357, 9191, 3, 17, 5411, 371, 450, 29, 23, 2693, 834, 4309, 3274, 3, 17, 44...
What is the name of the episode written by David Matthews?
CREATE TABLE table_28037619_2 (title VARCHAR, written_by VARCHAR)
SELECT title FROM table_28037619_2 WHERE written_by = "David Matthews"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 17518, 519, 3959, 2294, 834, 357, 41, 21869, 584, 4280, 28027, 6, 1545, 834, 969, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 564, 13, 8, 5640, 1545, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2233, 21680, 953, 834, 17518, 519, 3959, 2294, 834, 357, 549, 17444, 427, 1545, 834, 969, 3274, 96, 308, 9, 6961, 9771, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Another She's Label?
CREATE TABLE table_60264 ( "Album#" text, "English Title" text, "Chinese (Traditional)" text, "Chinese (Simplified)" text, "Release date" text, "Label" text )
SELECT "Label" FROM table_60264 WHERE "English Title" = 'another she'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3328, 26755, 41, 96, 25691, 440, 4663, 121, 1499, 6, 96, 26749, 11029, 121, 1499, 6, 96, 3541, 4477, 15, 41, 9402, 10569, 138, 61, 121, 1499, 6, 96, 3541, 4477, 15, 41, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 434, 10333, 121, 21680, 953, 834, 3328, 26755, 549, 17444, 427, 96, 26749, 11029, 121, 3274, 3, 31, 152, 9269, 255, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which customer is associated with the latest policy?
CREATE TABLE customers (customer_details VARCHAR, customer_id VARCHAR); CREATE TABLE policies (start_date INTEGER); CREATE TABLE policies (customer_id VARCHAR, start_date INTEGER)
SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.start_date = (SELECT MAX(start_date) FROM policies)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 722, 41, 25697, 49, 834, 221, 5756, 7, 584, 4280, 28027, 6, 884, 834, 23, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 3101, 41, 10208, 834, 5522, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17, 4416, 25697, 49, 834, 221, 5756, 7, 21680, 3101, 6157, 3, 17, 536, 3, 15355, 3162, 722, 6157, 3, 17, 357, 9191, 3, 17, 5411, 25697, 49, 834, 23, 26, 3274, 3, 17, 4416, 25697, 49, 834, 23, 26, 549, 17444...
Name the Losing BP of Newport Saracens RFC and has a Lost of 19.
CREATE TABLE table_name_14 ( losing_bp VARCHAR, lost VARCHAR, club VARCHAR )
SELECT losing_bp FROM table_name_14 WHERE lost = "19" AND club = "newport saracens rfc"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2534, 41, 5489, 834, 115, 102, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 6, 1886, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 3144, 53, 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, 5489, 834, 115, 102, 21680, 953, 834, 4350, 834, 2534, 549, 17444, 427, 1513, 3274, 96, 2294, 121, 3430, 1886, 3274, 96, 5534, 1493, 3, 7, 9, 3738, 35, 7, 3, 52, 89, 75, 121, 1, -100, -100, -100, -100, -100, -10...
Which policy type has the most records in the database?
CREATE TABLE customers ( customer_id number, customer_name text ) CREATE TABLE settlements ( settlement_id number, claim_id number, effective_date time, settlement_amount number ) CREATE TABLE services ( service_id number, service_name text ) CREATE TABLE customers_policies ( customer_id number, policy_id number, date_opened time, date_closed time ) CREATE TABLE first_notification_of_loss ( fnol_id number, customer_id number, policy_id number, service_id number ) CREATE TABLE available_policies ( policy_id number, policy_type_code text, customer_phone text ) CREATE TABLE claims ( claim_id number, fnol_id number, effective_date time )
SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY COUNT(*) DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 722, 41, 884, 834, 23, 26, 381, 6, 884, 834, 4350, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 7025, 7, 41, 7025, 834, 23, 26, 381, 6, 1988, 834, 23, 26, 38...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1291, 834, 6137, 834, 4978, 21680, 347, 834, 3003, 6267, 7, 350, 4630, 6880, 272, 476, 1291, 834, 6137, 834, 4978, 4674, 11300, 272, 476, 2847, 17161, 599, 1935, 61, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, ...
has patient 030-53416 been treated since 2105 with a ct scan - spine procedure?
CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time )
SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-53416')) AND treatment.treatmentname = 'ct scan - spine' AND STRFTIME('%y', treatment.treatmenttime) >= '2105'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 583, 41, 583, 23, 26, 381, 6, 775, 12417, 1499, 6, 1868, 15878, 3734, 21545, 23, 26, 381, 6, 605, 6137, 1499, 6, 605, 23, 26, 381, 6, 1567, 715, 97, 6, 583, 381, 3, 61, 3, 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, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 2490, 3, 632, 21680, 1058, 549, 17444, 427, 1058, 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,...
What is the score when the tie number is 4?
CREATE TABLE table_name_47 (score VARCHAR, tie_no VARCHAR)
SELECT score FROM table_name_47 WHERE tie_no = "4"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 7, 9022, 584, 4280, 28027, 6, 6177, 834, 29, 32, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2604, 116, 8, 6177, 381, 19, 314, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4177, 549, 17444, 427, 6177, 834, 29, 32, 3274, 96, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which winning song was sung by aku tetap milikmu?
CREATE TABLE table_name_65 ( English VARCHAR, winning_song VARCHAR )
SELECT WINNING_SONG(English AS Title) FROM table_name_65 WHERE winning_song = "aku tetap milikmu"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4122, 41, 1566, 584, 4280, 28027, 6, 3447, 834, 7, 2444, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 3447, 2324, 47, 3, 7, 425, 57, 3, 16296, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 21394, 567, 2365, 834, 134, 15628, 599, 26749, 6157, 11029, 61, 21680, 953, 834, 4350, 834, 4122, 549, 17444, 427, 3447, 834, 7, 2444, 3274, 96, 16296, 3, 17, 15, 8873, 3, 5952, 5848, 76, 121, 1, -100, -100, -1...
Name the highh points for december 29
CREATE TABLE table_21605 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Record" text )
SELECT "High points" FROM table_21605 WHERE "Date" = 'December 29'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27184, 3076, 41, 96, 23055, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 21417, 979, 121, 1499, 6, 96, 21417, 3, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 21417, 979, 121, 21680, 953, 834, 27184, 3076, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 29835, 2838, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the control for the school accredited by the higher learning commission ( nca ), ccne?
CREATE TABLE table_2076522_2 (control VARCHAR, accreditation VARCHAR)
SELECT control FROM table_2076522_2 WHERE accreditation = "The Higher Learning Commission ( NCA ), CCNE"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26426, 4122, 2884, 834, 357, 41, 15247, 584, 4280, 28027, 6, 24513, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 610, 21, 8, 496, 16412, 57, 8, 1146, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 610, 21680, 953, 834, 26426, 4122, 2884, 834, 357, 549, 17444, 427, 24513, 3274, 96, 634, 16808, 6630, 3527, 41, 9187, 188, 3, 201, 3, 2823, 4171, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many games were numbered 13?
CREATE TABLE table_27700530_9 ( team VARCHAR, game VARCHAR )
SELECT COUNT(team) FROM table_27700530_9 WHERE game = 13
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 9295, 26918, 834, 1298, 41, 372, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 1031, 130, 3, 22412, 1179, 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, 2847, 17161, 599, 11650, 61, 21680, 953, 834, 2555, 9295, 26918, 834, 1298, 549, 17444, 427, 467, 3274, 1179, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Where does the customer with the first name Linda live? And what is her email?
CREATE TABLE address ( address VARCHAR, address_id VARCHAR ) CREATE TABLE customer ( email VARCHAR, address_id VARCHAR, first_name VARCHAR )
SELECT T2.address, T1.email FROM customer AS T1 JOIN address AS T2 ON T2.address_id = T1.address_id WHERE T1.first_name = 'LINDA'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 1115, 41, 1115, 584, 4280, 28027, 6, 1115, 834, 23, 26, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 884, 41, 791, 584, 4280, 28027, 6, 1115, 834, 23...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 4416, 9, 26, 12039, 6, 332, 5411, 15, 1963, 21680, 884, 6157, 332, 536, 3, 15355, 3162, 1115, 6157, 332, 357, 9191, 332, 4416, 9, 26, 12039, 834, 23, 26, 3274, 332, 5411, 9, 26, 12039, 834, 23, 26, 549, 174...
What tournament is played on a carpet surface?
CREATE TABLE table_name_99 ( tournament VARCHAR, surface VARCHAR )
SELECT tournament FROM table_name_99 WHERE surface = "carpet"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 5892, 584, 4280, 28027, 6, 1774, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 5892, 19, 1944, 30, 3, 9, 4898, 1774, 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, 5892, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 1774, 3274, 96, 1720, 4995, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by weekday, and sort by the Y in desc.
CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) )
SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(EMPLOYEE_ID) DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3248, 41, 301, 5618, 8015, 834, 4309, 7908, 1982, 599, 8525, 632, 201, 3, 13733, 26418, 834, 24604, 12200, 134, 3, 4331, 4059, 599, 2445, 201, 3, 16034, 16359, 834, 5911, 5596, 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, 454, 14132, 834, 308, 6048, 6, 71, 17217, 599, 6037, 345, 5017, 476, 5080, 834, 4309, 61, 21680, 1652, 549, 17444, 427, 30085, 834, 567, 17683, 8729, 9914, 3, 31, 1454, 308, 1454, 31, 4674, 30085, 834, 567, 17683, 8...
What was the Average Attendance during the Year in which there were 9 Home Games?
CREATE TABLE table_name_12 ( average_attendance INTEGER, _number_of_home_games VARCHAR )
SELECT MAX(average_attendance) FROM table_name_12 WHERE _number_of_home_games = 9
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 1348, 834, 15116, 663, 3, 21342, 17966, 6, 3, 834, 5525, 1152, 834, 858, 834, 5515, 834, 7261, 7, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 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, 4800, 4, 599, 28951, 834, 15116, 663, 61, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 3, 834, 5525, 1152, 834, 858, 834, 5515, 834, 7261, 7, 3274, 668, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
between the uup party and the dup party , which had more votes in the 1996 forum ?
CREATE TABLE table_203_354 ( id number, "party" text, "candidate(s)" text, "votes" number, "percentage" number )
SELECT "party" FROM table_203_354 WHERE "party" IN ('uup', 'dup') ORDER BY "votes" DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 2469, 591, 41, 3, 23, 26, 381, 6, 96, 8071, 121, 1499, 6, 96, 1608, 12416, 342, 599, 7, 61, 121, 1499, 6, 96, 1621, 1422, 121, 381, 6, 96, 883, 3728, 545, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8071, 121, 21680, 953, 834, 23330, 834, 2469, 591, 549, 17444, 427, 96, 8071, 121, 3388, 41, 31, 76, 413, 31, 6, 3, 31, 26, 413, 31, 61, 4674, 11300, 272, 476, 96, 1621, 1422, 121, 309, 25067, 8729, 12604, 2...
What is Date, when Viewers is 4.4 million?
CREATE TABLE table_46814 ( "Event" text, "Date" text, "Rating" text, "Share" text, "Viewers" text )
SELECT "Date" FROM table_46814 WHERE "Viewers" = '4.4 million'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 3651, 2534, 41, 96, 427, 2169, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 448, 1014, 121, 1499, 6, 96, 24501, 121, 1499, 6, 96, 15270, 277, 121, 1499, 3, 61, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 96, 308, 342, 121, 21680, 953, 834, 591, 3651, 2534, 549, 17444, 427, 96, 15270, 277, 121, 3274, 3, 31, 23444, 770, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the representative for party of whig
CREATE TABLE table_name_76 (representative VARCHAR, party VARCHAR)
SELECT representative FROM table_name_76 WHERE party = "whig"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 60, 12640, 1528, 584, 4280, 28027, 6, 1088, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 6978, 21, 1088, 13, 3, 12124, 122, 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, 6978, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 1088, 3274, 96, 12124, 122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When the share of votes equals 21.8%, what's the sum of the total amount of seats?
CREATE TABLE table_name_61 (total_seats INTEGER, share_of_votes VARCHAR)
SELECT SUM(total_seats) FROM table_name_61 WHERE share_of_votes = "21.8%"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 235, 1947, 834, 7, 1544, 7, 3, 21342, 17966, 6, 698, 834, 858, 834, 1621, 1422, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 366, 8, 698, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 180, 6122, 599, 235, 1947, 834, 7, 1544, 7, 61, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 698, 834, 858, 834, 1621, 1422, 3274, 96, 2658, 5, 5953, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the attendance at the game where Neil Liddiard was Man of the Match?
CREATE TABLE table_17120964_8 (attendance INTEGER, man_of_the_match VARCHAR)
SELECT MIN(attendance) FROM table_17120964_8 WHERE man_of_the_match = "Neil Liddiard"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2122, 4198, 4389, 834, 927, 41, 15116, 663, 3, 21342, 17966, 6, 388, 834, 858, 834, 532, 834, 19515, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 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, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 15116, 663, 61, 21680, 953, 834, 2517, 2122, 4198, 4389, 834, 927, 549, 17444, 427, 388, 834, 858, 834, 532, 834, 19515, 3274, 96, 567, 15, 173, 1414, 26, 26, 23, 986, 121, 1, -100, -100, -100, -100...
What is the largest attendance on august 10, 1963, and a week larger than 1?
CREATE TABLE table_name_75 ( attendance INTEGER, date VARCHAR, week VARCHAR )
SELECT MAX(attendance) FROM table_name_75 WHERE date = "august 10, 1963" AND week > 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 11364, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2015, 11364, 30, 14663, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 833, 3274, 96, 402, 17198, 10372, 20613, 121, 3430, 471, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
If the visiting team is Clemson, when was the time?
CREATE TABLE table_29070 ( "Date" text, "Time" text, "Visiting team" text, "Home team" text, "Site" text, "Broadcast" text, "Result" text, "Attendance" real )
SELECT "Time" FROM table_29070 WHERE "Visiting team" = 'Clemson'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23838, 2518, 41, 96, 308, 342, 121, 1499, 6, 96, 13368, 121, 1499, 6, 96, 30338, 372, 121, 1499, 6, 96, 19040, 372, 121, 1499, 6, 96, 26030, 121, 1499, 6, 96, 279, 8635, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 13368, 121, 21680, 953, 834, 23838, 2518, 549, 17444, 427, 96, 30338, 372, 121, 3274, 3, 31, 254, 109, 51, 739, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the series episode number that is larger than 262 and has a Segment A entry of Aluminium s canoe?
CREATE TABLE table_name_60 ( series_ep VARCHAR, episode VARCHAR, segment_a VARCHAR )
SELECT series_ep FROM table_name_60 WHERE episode > 262 AND segment_a = "aluminium s canoe"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 939, 834, 15, 102, 584, 4280, 28027, 6, 5640, 584, 4280, 28027, 6, 5508, 834, 9, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 939, 834, 15, 102, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 5640, 2490, 2208, 357, 3430, 5508, 834, 9, 3274, 96, 9, 5171, 77, 2552, 3, 7, 54, 32, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -...
When did the New England Patriots play as the visiting team?
CREATE TABLE table_name_23 ( date VARCHAR, visiting_team VARCHAR )
SELECT date FROM table_name_23 WHERE visiting_team = "new england patriots"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 833, 584, 4280, 28027, 6, 3644, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 366, 410, 8, 368, 2789, 20109, 7, 577, 38, 8, 3644,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 3644, 834, 11650, 3274, 96, 5534, 3, 4606, 40, 232, 6234, 12884, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the game number that took place on April 27?
CREATE TABLE table_name_50 (game VARCHAR, date VARCHAR)
SELECT game FROM table_name_50 WHERE date = "april 27"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 7261, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 467, 381, 24, 808, 286, 30, 1186, 2307, 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, 467, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 833, 3274, 96, 9, 2246, 40, 2307, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many against when losses are 11 and wins are fewer than 5?
CREATE TABLE table_61118 ( "Central Murray" text, "Wins" real, "Byes" real, "Losses" real, "Draws" real, "Against" real )
SELECT AVG("Against") FROM table_61118 WHERE "Losses" = '11' AND "Wins" < '5'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4241, 20056, 41, 96, 30497, 15497, 121, 1499, 6, 96, 18455, 7, 121, 490, 6, 96, 279, 10070, 121, 490, 6, 96, 434, 13526, 7, 121, 490, 6, 96, 308, 10936, 7, 121, 490, 6,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 121, 20749, 8512, 21680, 953, 834, 4241, 20056, 549, 17444, 427, 96, 434, 13526, 7, 121, 3274, 3, 31, 2596, 31, 3430, 96, 18455, 7, 121, 3, 2, 3, 31, 755, 31, 1, -100, -100, -100, -100, -100, -10...
What is Opponent, when Game is '37'?
CREATE TABLE table_name_9 ( opponent VARCHAR, game VARCHAR )
SELECT opponent FROM table_name_9 WHERE game = 37
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 15264, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 4495, 9977, 6, 116, 4435, 19, 3, 31, 4118, 31, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 467, 3274, 6862, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what year had the most titles released ?
CREATE TABLE table_203_607 ( id number, "catalogue number" text, "artist" text, "release title" text, "format" text, "release date" text )
SELECT "release date" FROM table_203_607 GROUP BY "release date" ORDER BY COUNT("release title") DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 3328, 940, 41, 3, 23, 26, 381, 6, 96, 2138, 9, 10384, 381, 121, 1499, 6, 96, 1408, 343, 121, 1499, 6, 96, 21019, 2233, 121, 1499, 6, 96, 8995, 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, 21019, 833, 121, 21680, 953, 834, 23330, 834, 3328, 940, 350, 4630, 6880, 272, 476, 96, 21019, 833, 121, 4674, 11300, 272, 476, 2847, 17161, 599, 121, 21019, 2233, 8512, 309, 25067, 8729, 12604, 209, 1, -100, -100...
What is the date for the ship Afrika, with nationality Great Britain?
CREATE TABLE table_name_73 ( date VARCHAR, nationality VARCHAR, ship VARCHAR )
SELECT date FROM table_name_73 WHERE nationality = "great britain" AND ship = "afrika"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 833, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 6, 4383, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 833, 21, 8, 4383, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 1157, 485, 3274, 96, 20288, 3, 115, 10694, 77, 121, 3430, 4383, 3274, 96, 9, 89, 9629, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the average top-10 for cuts made of 10 and top-25 more than 6
CREATE TABLE table_6262 ( "Tournament" text, "Wins" real, "Top-5" real, "Top-10" real, "Top-25" real, "Events" real, "Cuts made" real )
SELECT AVG("Top-10") FROM table_6262 WHERE "Cuts made" = '10' AND "Top-25" > '6'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4056, 4056, 41, 96, 382, 1211, 20205, 17, 121, 1499, 6, 96, 18455, 7, 121, 490, 6, 96, 22481, 18, 17395, 490, 6, 96, 22481, 4536, 121, 490, 6, 96, 22481, 14855, 121, 490,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 121, 22481, 4536, 8512, 21680, 953, 834, 4056, 4056, 549, 17444, 427, 96, 15784, 17, 7, 263, 121, 3274, 3, 31, 1714, 31, 3430, 96, 22481, 14855, 121, 2490, 3, 31, 948, 31, 1, -100, -100, -100, -100...
When the a o was 2012, who was the county?
CREATE TABLE table_29566 ( "A\u00f1o" real, "Trabajo nominado" text, "Premio" text, "Categor\u00eda" text, "Country" text, "Resultado" text )
SELECT "Country" FROM table_29566 WHERE "A\u00f1o" = '2012'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3301, 3539, 41, 96, 188, 2, 76, 1206, 89, 536, 32, 121, 490, 6, 96, 9402, 115, 9, 1927, 5252, 23, 25065, 121, 1499, 6, 96, 10572, 51, 23, 32, 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, 1...
[ 3, 23143, 14196, 96, 10628, 651, 121, 21680, 953, 834, 357, 3301, 3539, 549, 17444, 427, 96, 188, 2, 76, 1206, 89, 536, 32, 121, 3274, 3, 31, 12172, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
On which date was the opponent lamine ouahab?
CREATE TABLE table_name_92 (date VARCHAR, opponent VARCHAR)
SELECT date FROM table_name_92 WHERE opponent = "lamine ouahab"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 5522, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 461, 84, 833, 47, 8, 15264, 50, 8695, 407, 9, 6111, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 15264, 3274, 96, 40, 8721, 407, 9, 6111, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What construction has a CERCLIS ID of ard092916188?
CREATE TABLE table_name_1 (construction_completed VARCHAR, cerclis_id VARCHAR)
SELECT construction_completed FROM table_name_1 WHERE cerclis_id = "ard092916188"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 26471, 834, 25288, 26, 584, 4280, 28027, 6, 19259, 40, 159, 834, 23, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 1449, 65, 3, 9, 9265,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1449, 834, 25288, 26, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 19259, 40, 159, 834, 23, 26, 3274, 96, 986, 4198, 3166, 2938, 25794, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Top Speed has a Model Name of d14/4 supreme d14/4 sports & bushman?
CREATE TABLE table_46221 ( "Model Name" text, "Engine" text, "Top Speed" text, "No. of Gears" real, "Electrics" text )
SELECT "Top Speed" FROM table_46221 WHERE "Model Name" = 'd14/4 supreme d14/4 sports & bushman'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4448, 357, 2658, 41, 96, 24663, 5570, 121, 1499, 6, 96, 31477, 121, 1499, 6, 96, 22481, 9913, 121, 1499, 6, 96, 4168, 5, 13, 17138, 7, 121, 490, 6, 96, 21543, 2234, 7, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 22481, 9913, 121, 21680, 953, 834, 4448, 357, 2658, 549, 17444, 427, 96, 24663, 5570, 121, 3274, 3, 31, 26, 2534, 13572, 15859, 15, 3, 26, 2534, 13572, 2100, 3, 184, 17907, 348, 31, 1, -100, -100, -100, -100, ...
Who is the player with a FB position?
CREATE TABLE table_8458 ( "Pick #" real, "CFL Team" text, "Player" text, "Position" text, "College" text )
SELECT "Player" FROM table_8458 WHERE "Position" = 'fb'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4608, 3449, 41, 96, 345, 3142, 1713, 121, 490, 6, 96, 254, 10765, 2271, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 9939, 7883, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4608, 3449, 549, 17444, 427, 96, 345, 32, 7, 4749, 121, 3274, 3, 31, 89, 115, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
For all employees who have the letters D or S in their first name, return a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by time, and sort by the y axis in ascending.
CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) )
SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(EMPLOYEE_ID)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 6266, 41, 4083, 517, 9215, 834, 4309, 7908, 1982, 599, 11116, 632, 201, 4083, 517, 9215, 834, 567, 17683, 3, 4331, 4059, 599, 1828, 61, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 454, 14132, 834, 308, 6048, 6, 71, 17217, 599, 6037, 345, 5017, 476, 5080, 834, 4309, 61, 21680, 1652, 549, 17444, 427, 30085, 834, 567, 17683, 8729, 9914, 3, 31, 1454, 308, 1454, 31, 4674, 30085, 834, 567, 17683, 8...
What is Runner-up, when Event is Mancora Peru Classic?
CREATE TABLE table_41435 ( "Date" text, "Location" text, "Country" text, "Event" text, "Winner" text, "Runner-up" text )
SELECT "Runner-up" FROM table_41435 WHERE "Event" = 'mancora peru classic'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 2534, 2469, 41, 96, 308, 342, 121, 1499, 6, 96, 434, 32, 75, 257, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 427, 2169, 121, 1499, 6, 96, 18455, 687, 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, 23572, 18, 413, 121, 21680, 953, 834, 591, 2534, 2469, 549, 17444, 427, 96, 427, 2169, 121, 3274, 3, 31, 348, 5715, 9, 399, 76, 2431, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Attendance of 36,796 had what score?
CREATE TABLE table_36903 ( "Date" text, "Opponent" text, "Score" text, "Loss" text, "Attendance" text, "Record" text )
SELECT "Score" FROM table_36903 WHERE "Attendance" = '36,796'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3420, 2394, 519, 41, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 434, 32, 7, 7, 121, 1499, 6, 96, 188, 17, 324, 26,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 9022, 121, 21680, 953, 834, 3420, 2394, 519, 549, 17444, 427, 96, 188, 17, 324, 26, 663, 121, 3274, 3, 31, 3420, 6, 940, 4314, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many NFL teams does Stevie Brown play for?
CREATE TABLE table_20996923_25 ( nfl_team VARCHAR, player VARCHAR )
SELECT COUNT(nfl_team) FROM table_20996923_25 WHERE player = "Stevie Brown"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1755, 3264, 3951, 2773, 834, 1828, 41, 3, 29, 89, 40, 834, 11650, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 10439, 2323, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 29, 89, 40, 834, 11650, 61, 21680, 953, 834, 1755, 3264, 3951, 2773, 834, 1828, 549, 17444, 427, 1959, 3274, 96, 14337, 5914, 3899, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the karen when nicky is 2.5
CREATE TABLE table_19744915_4 ( karen VARCHAR, nicky VARCHAR )
SELECT karen FROM table_19744915_4 WHERE nicky = "2.5"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 4581, 3647, 1808, 834, 591, 41, 3, 4031, 35, 584, 4280, 28027, 6, 3, 11191, 63, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 3, 4031, 35, 116, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 4031, 35, 21680, 953, 834, 2294, 4581, 3647, 1808, 834, 591, 549, 17444, 427, 3, 11191, 63, 3274, 96, 15967, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total overall number of the ot position player with a pick greater than 5?
CREATE TABLE table_name_59 (overall VARCHAR, position VARCHAR, pick VARCHAR)
SELECT COUNT(overall) FROM table_name_59 WHERE position = "ot" AND pick > 5
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 1890, 1748, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 792, 1879, 381, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1890, 1748, 61, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 1102, 3274, 96, 32, 17, 121, 3430, 1432, 2490, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the Player with a Date with 12-03-2003?
CREATE TABLE table_54346 ( "Dismissals" text, "Player" text, "Versus" text, "Venue" text, "Date" text )
SELECT "Player" FROM table_54346 WHERE "Date" = '12-03-2003'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 5062, 519, 4448, 41, 96, 308, 159, 11502, 5405, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 5000, 7, 302, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 308, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 15800, 49, 121, 21680, 953, 834, 5062, 519, 4448, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 2122, 18, 4928, 18, 23948, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who retired at lap 77 and was grid 11?
CREATE TABLE table_name_22 (time_retired VARCHAR, laps VARCHAR, grid VARCHAR)
SELECT time_retired FROM table_name_22 WHERE laps = "77" AND grid = "11"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 10611, 44, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 97, 834, 10682, 1271, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 14941, 7, 3274, 96, 4013, 121, 3430, 8634, 3274, 96, 2596, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What circuit was used on August 21?
CREATE TABLE table_25459168_2 ( circuit VARCHAR, date VARCHAR )
SELECT circuit FROM table_25459168_2 WHERE date = "August 21"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 1828, 2128, 4729, 3651, 834, 357, 41, 4558, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 4558, 47, 261, 30, 1660, 1401, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4558, 21680, 953, 834, 1828, 2128, 4729, 3651, 834, 357, 549, 17444, 427, 833, 3274, 96, 26579, 1401, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Sub-Parish (Sogn) is in the Parish (Prestegjeld) of hafslo parish and is located in the Church of Urnes?
CREATE TABLE table_name_52 ( sub_parish__sogn_ VARCHAR, parish__prestegjeld_ VARCHAR, location_of_the_church VARCHAR )
SELECT sub_parish__sogn_ FROM table_name_52 WHERE parish__prestegjeld_ = "hafslo parish" AND location_of_the_church = "urnes"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 769, 834, 1893, 1273, 834, 834, 7, 32, 122, 29, 834, 584, 4280, 28027, 6, 14961, 834, 834, 2026, 849, 122, 354, 8804, 834, 584, 4280, 28027, 6, 1128, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 769, 834, 1893, 1273, 834, 834, 7, 32, 122, 29, 834, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 14961, 834, 834, 2026, 849, 122, 354, 8804, 834, 3274, 96, 1024, 89, 7, 40, 32, 14961, 121, 3430, 1128, 834, ...
give me the number of patients whose primary disease is overdose?
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "OVERDOSE"
[ 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, 549, 17444, 427, 14798, 5, 25930, 4844, 159, 3274, 96, 23288, 308, 22177, 121, 1, -100, -100, -100, -100, -100, -100, -100, -...
What is the date of the munich, germany tournament?
CREATE TABLE table_name_52 (date VARCHAR, tournament VARCHAR)
SELECT date FROM table_name_52 WHERE tournament = "munich, germany"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 5522, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 833, 13, 8, 13844, 362, 6, 13692, 63, 5892, 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, 833, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 5892, 3274, 96, 11760, 524, 6, 13692, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What year was the startup for the Project Named of taq taq ph 2?
CREATE TABLE table_name_51 ( year_startup VARCHAR, project_name VARCHAR )
SELECT year_startup FROM table_name_51 WHERE project_name = "taq taq ph 2"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 215, 834, 10208, 413, 584, 4280, 28027, 6, 516, 834, 4350, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 215, 47, 8, 11459, 21, 8, 2786,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 215, 834, 10208, 413, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 516, 834, 4350, 3274, 96, 17, 9, 1824, 3, 17, 9, 1824, 3, 102, 107, 204, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
how many people work with N Rawiller
CREATE TABLE table_18769 ( "Saddle cloth" real, "Horse" text, "Trainer" text, "Jockey" text, "Weight (kg)" text, "Barrier" real, "Placing" text )
SELECT COUNT("Trainer") FROM table_18769 WHERE "Jockey" = 'N Rawiller'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25828, 3951, 41, 96, 134, 9, 8437, 10366, 121, 490, 6, 96, 566, 127, 7, 15, 121, 1499, 6, 96, 9402, 4899, 121, 1499, 6, 96, 683, 3961, 15, 63, 121, 1499, 6, 96, 1326, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9402, 4899, 8512, 21680, 953, 834, 25828, 3951, 549, 17444, 427, 96, 683, 3961, 15, 63, 121, 3274, 3, 31, 567, 19401, 7613, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is Josh Hamilton's hometown?
CREATE TABLE table_11677100_5 (hometown VARCHAR, player VARCHAR)
SELECT hometown FROM table_11677100_5 WHERE player = "Josh Hamilton"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 20159, 4013, 2915, 834, 755, 41, 5515, 3540, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 14136, 13450, 31, 7, 22295, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 22295, 21680, 953, 834, 20159, 4013, 2915, 834, 755, 549, 17444, 427, 1959, 3274, 96, 683, 32, 7, 107, 13450, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who is the 2nd member elected in 1461?
CREATE TABLE table_name_46 ( elected VARCHAR )
SELECT 2 AS nd_member FROM table_name_46 WHERE elected = "1461"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 8160, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 19, 8, 204, 727, 1144, 8160, 16, 968, 4241, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 204, 6157, 3, 727, 834, 12066, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 8160, 3274, 96, 2534, 4241, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many incumbents resulted in a lost renomination republican gain?
CREATE TABLE table_18343 ( "District" text, "Incumbent" text, "Party" text, "First elected" real, "Result" text, "Candidates" text )
SELECT COUNT("Incumbent") FROM table_18343 WHERE "Result" = 'Lost renomination Republican gain'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24361, 4906, 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, 2847, 17161, 599, 121, 1570, 75, 5937, 295, 8512, 21680, 953, 834, 24361, 4906, 549, 17444, 427, 96, 20119, 121, 3274, 3, 31, 434, 3481, 3, 1536, 32, 14484, 8994, 2485, 31, 1, -100, -100, -100, -100, -100, -100, -10...
What is the county for the Irish name Carna?
CREATE TABLE table_101196_1 ( county VARCHAR, irish_name VARCHAR )
SELECT county FROM table_101196_1 WHERE irish_name = "Carna"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 19621, 26937, 834, 536, 41, 5435, 584, 4280, 28027, 6, 3, 24804, 107, 834, 4350, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 5435, 21, 8, 7262, 564,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5435, 21680, 953, 834, 19621, 26937, 834, 536, 549, 17444, 427, 3, 24804, 107, 834, 4350, 3274, 96, 254, 15918, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What 2007 has wimbledon as the tournament?
CREATE TABLE table_name_88 (tournament VARCHAR)
SELECT 2007 FROM table_name_88 WHERE tournament = "wimbledon"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 17, 1211, 20205, 17, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 4101, 65, 11064, 51, 2296, 2029, 38, 8, 5892, 58, 1, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4101, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 5892, 3274, 96, 210, 603, 2296, 2029, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the most noteworthy Bike No that has a Position bigger than 1, and a Points bigger than 369, and an Equipment of zabel-wsp?
CREATE TABLE table_name_77 (bike_no INTEGER, equipment VARCHAR, position VARCHAR, points VARCHAR)
SELECT MAX(bike_no) FROM table_name_77 WHERE position > 1 AND points > 369 AND equipment = "zabel-wsp"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 15214, 834, 29, 32, 3, 21342, 17966, 6, 1277, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 15214, 834, 29, 32, 61, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 1102, 2490, 209, 3430, 979, 2490, 220, 3951, 3430, 1277, 3274, 96, 172, 10333, 18, 210, 7, 102, 121, 1, -100, -100, -100, -1...
Away result of 1-2 has what season?
CREATE TABLE table_75503 ( "Season" text, "Competition" text, "Round" text, "Club" text, "Home result" text, "Away result" text )
SELECT "Season" FROM table_75503 WHERE "Away result" = '1-2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3072, 1752, 519, 41, 96, 134, 15, 9, 739, 121, 1499, 6, 96, 5890, 4995, 4749, 121, 1499, 6, 96, 448, 32, 1106, 121, 1499, 6, 96, 254, 11158, 121, 1499, 6, 96, 19040, 74...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 134, 15, 9, 739, 121, 21680, 953, 834, 3072, 1752, 519, 549, 17444, 427, 96, 188, 1343, 741, 121, 3274, 3, 31, 9596, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
what is the sample size when the date(s) administered is march 24, 2010?
CREATE TABLE table_name_4 ( sample_size VARCHAR, date_s__administered VARCHAR )
SELECT sample_size FROM table_name_4 WHERE date_s__administered = "march 24, 2010"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 3106, 834, 7991, 584, 4280, 28027, 6, 833, 834, 7, 834, 834, 9, 26, 17791, 15, 26, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3106, 834, 7991, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 833, 834, 7, 834, 834, 9, 26, 17791, 15, 26, 3274, 96, 51, 7064, 14320, 2735, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Wins of 0, and a Rank larger than 6, and a Manufacturer of kawasaki, and a Rider of massimo broccoli involved what highest points?
CREATE TABLE table_name_18 ( points INTEGER, rider VARCHAR, manufacturer VARCHAR, wins VARCHAR, rank VARCHAR )
SELECT MAX(points) FROM table_name_18 WHERE wins = 0 AND rank > 6 AND manufacturer = "kawasaki" AND rider = "massimo broccoli"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 979, 3, 21342, 17966, 6, 2564, 52, 584, 4280, 28027, 6, 4818, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 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, 4800, 4, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 9204, 3274, 3, 632, 3430, 11003, 2490, 431, 3430, 4818, 3274, 96, 1258, 9491, 11259, 121, 3430, 2564, 52, 3274, 96, 2754, 28348, 24630, 1...
What is the Series with a High rebounds with gasol (10)?
CREATE TABLE table_77505 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Series" text )
SELECT "Series" FROM table_77505 WHERE "High rebounds" = 'gasol (10)'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4013, 1752, 755, 41, 96, 23055, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 21417, 979, 121, 1499, 6, 96, 21417, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 12106, 7, 121, 21680, 953, 834, 4013, 1752, 755, 549, 17444, 427, 96, 21417, 3, 23768, 121, 3274, 3, 31, 122, 9, 4099, 41, 16968, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many episodes in the season had production code of 175255?
CREATE TABLE table_27755040_1 (no_in_season VARCHAR, production_code VARCHAR)
SELECT COUNT(no_in_season) FROM table_27755040_1 WHERE production_code = 175255
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 3072, 1752, 2445, 834, 536, 41, 29, 32, 834, 77, 834, 9476, 584, 4280, 28027, 6, 999, 834, 4978, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 13562, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 29, 32, 834, 77, 834, 9476, 61, 21680, 953, 834, 2555, 3072, 1752, 2445, 834, 536, 549, 17444, 427, 999, 834, 4978, 3274, 1003, 5373, 3769, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
when has patient 015-59871 first received a procedure when they came to the hospital last time?
CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text )
SELECT treatment.treatmenttime FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-59871' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) ORDER BY treatment.treatmenttime LIMIT 1
[ 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, 1868, 41, 775, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1058, 5, 26889, 715, 21680, 1058, 549, 17444, 427, 1058, 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, 21545, ...
What is the ICAO of Nakashibetsu?
CREATE TABLE table_name_89 ( icao VARCHAR, city VARCHAR )
SELECT icao FROM table_name_89 WHERE city = "nakashibetsu"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 3, 2617, 32, 584, 4280, 28027, 6, 690, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 3, 15038, 667, 13, 1823, 157, 17155, 346, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2617, 32, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 690, 3274, 96, 29, 5667, 5605, 346, 17, 7, 76, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which TV Station has a Romaji Title of kegareta shita?
CREATE TABLE table_name_43 (tv_station VARCHAR, romaji_title VARCHAR)
SELECT tv_station FROM table_name_43 WHERE romaji_title = "kegareta shita"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 17, 208, 834, 6682, 584, 4280, 28027, 6, 3, 3522, 17815, 834, 21869, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 1424, 5939, 65, 3, 9, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17, 208, 834, 6682, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 3, 3522, 17815, 834, 21869, 3274, 96, 1050, 1478, 15, 17, 9, 3, 7, 10536, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What nationality is the pick from round 7?
CREATE TABLE table_45880 ( "Round" real, "Player" text, "Position" text, "Nationality" text, "College/junior/club team (league)" text )
SELECT "Nationality" FROM table_45880 WHERE "Round" = '7'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2128, 927, 2079, 41, 96, 448, 32, 1106, 121, 490, 6, 96, 15800, 49, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 24732, 485, 121, 1499, 6, 96, 9939, 7883, 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, 24732, 485, 121, 21680, 953, 834, 2128, 927, 2079, 549, 17444, 427, 96, 448, 32, 1106, 121, 3274, 3, 31, 940, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which city's ICAO is WADD?
CREATE TABLE table_name_92 (city VARCHAR, icao VARCHAR)
SELECT city FROM table_name_92 WHERE icao = "wadd"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 6726, 584, 4280, 28027, 6, 3, 2617, 32, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 690, 31, 7, 3, 15038, 667, 19, 549, 24604, 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, 690, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 3, 2617, 32, 3274, 96, 210, 13039, 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 average total of kenwyne jones, who has more than 10 premier leagues?
CREATE TABLE table_46962 ( "Name" text, "Premier League" real, "League Cup" real, "FA Cup" real, "Total" real )
SELECT AVG("Total") FROM table_46962 WHERE "Name" = 'kenwyne jones' AND "Premier League" > '10'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4448, 4314, 357, 41, 96, 23954, 121, 1499, 6, 96, 10572, 51, 972, 3815, 121, 490, 6, 96, 2796, 9, 5398, 3802, 121, 490, 6, 96, 4795, 3802, 121, 490, 6, 96, 3696, 1947, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3696, 1947, 8512, 21680, 953, 834, 4448, 4314, 357, 549, 17444, 427, 96, 23954, 121, 3274, 3, 31, 2217, 25269, 15, 3, 1927, 1496, 31, 3430, 96, 10572, 51, 972, 3815, 121, 2490, 3, 31, 1714, 31...
Which Percentage has a District larger than 2, and a Party of independent?
CREATE TABLE table_name_86 ( percentage VARCHAR, district VARCHAR, party VARCHAR )
SELECT percentage FROM table_name_86 WHERE district > 2 AND party = "independent"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 5294, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 6, 1088, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 1915, 3728, 545, 65, 3, 9, 35...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5294, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 3939, 2490, 204, 3430, 1088, 3274, 96, 77, 17631, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the attendance when the VFL played MCG?
CREATE TABLE table_name_70 (crowd VARCHAR, venue VARCHAR)
SELECT COUNT(crowd) FROM table_name_70 WHERE venue = "mcg"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 75, 3623, 26, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 11364, 116, 8, 584, 10765, 1944, 283, 12150, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 5669, 3274, 96, 51, 75, 122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the world record when the 138 kg is 137kg?
CREATE TABLE table_14268 ( "World record" text, "Snatch" text, "Halil Mutlu ( TUR )" text, "138kg" text, "Antalya , Turkey" text )
SELECT "World record" FROM table_14268 WHERE "138kg" = '137kg'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24978, 3651, 41, 96, 17954, 1368, 121, 1499, 6, 96, 134, 29, 14547, 121, 1499, 6, 96, 566, 138, 173, 16601, 40, 76, 41, 3, 21164, 3, 61, 121, 1499, 6, 96, 22744, 8711, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17954, 1368, 121, 21680, 953, 834, 24978, 3651, 549, 17444, 427, 96, 22744, 8711, 121, 3274, 3, 31, 24636, 8711, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many events did not have any participants?
CREATE TABLE EVENTS (event_id VARCHAR); CREATE TABLE Participants_in_Events (event_id VARCHAR)
SELECT COUNT(*) FROM EVENTS WHERE NOT event_id IN (SELECT event_id FROM Participants_in_Events)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 262, 24992, 134, 41, 15, 2169, 834, 23, 26, 584, 4280, 28027, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 19204, 834, 77, 834, 427, 2169, 7, 41, 15, 2169, 834, 23, 26, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1935, 61, 21680, 262, 24992, 134, 549, 17444, 427, 4486, 605, 834, 23, 26, 3388, 41, 23143, 14196, 605, 834, 23, 26, 21680, 19204, 834, 77, 834, 427, 2169, 7, 61, 1, -100, -100, -100, -100, -100, ...
How tall is Zipp Duncan?
CREATE TABLE table_37800 ( "Position" text, "Number" real, "Name" text, "Height" text, "Weight" real, "Class" text, "Hometown" text, "Games\u2191" real )
SELECT "Height" FROM table_37800 WHERE "Name" = 'zipp duncan'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4118, 6192, 41, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 567, 5937, 49, 121, 490, 6, 96, 23954, 121, 1499, 6, 96, 3845, 2632, 121, 1499, 6, 96, 1326, 2632, 121, 490, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 3845, 2632, 121, 21680, 953, 834, 4118, 6192, 549, 17444, 427, 96, 23954, 121, 3274, 3, 31, 702, 1572, 146, 29, 1608, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the record of Game 43?
CREATE TABLE table_name_68 (record VARCHAR, game VARCHAR)
SELECT record FROM table_name_68 WHERE game = 43
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 60, 7621, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 1368, 13, 4435, 8838, 58, 1, 0, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 467, 3274, 8838, 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...
How many times did incumbent ruben hinojosa get elected?
CREATE TABLE table_1341453_45 ( results VARCHAR, incumbent VARCHAR )
SELECT COUNT(results) FROM table_1341453_45 WHERE incumbent = "Ruben Hinojosa"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23747, 2534, 4867, 834, 2128, 41, 772, 584, 4280, 28027, 6, 28406, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 648, 410, 28406, 9641, 35, 3811, 32, 1927...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 60, 7, 83, 17, 7, 61, 21680, 953, 834, 23747, 2534, 4867, 834, 2128, 549, 17444, 427, 28406, 3274, 96, 448, 15804, 9515, 32, 1927, 7, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the performance order for 2.15%
CREATE TABLE table_26267849_11 (performance_order VARCHAR, percentage_of_votes VARCHAR)
SELECT performance_order FROM table_26267849_11 WHERE percentage_of_votes = "2.15%"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2688, 2688, 3940, 3647, 834, 2596, 41, 18558, 834, 9397, 584, 4280, 28027, 6, 5294, 834, 858, 834, 1621, 1422, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 821, 834, 9397, 21680, 953, 834, 2688, 2688, 3940, 3647, 834, 2596, 549, 17444, 427, 5294, 834, 858, 834, 1621, 1422, 3274, 96, 14489, 2712, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what is the years when playoffs is 115?
CREATE TABLE table_name_51 (years VARCHAR, playoffs VARCHAR)
SELECT years FROM table_name_51 WHERE playoffs = 115
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 1201, 7, 584, 4280, 28027, 6, 15289, 7, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 125, 19, 8, 203, 116, 15289, 7, 19, 3, 15660, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 203, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 15289, 7, 3274, 3, 15660, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
history of severe hypoglycemia ( seizure )
CREATE TABLE table_train_199 ( "id" int, "t2dm" bool, "hemoglobin_a1c_hba1c" float, "renal_disease" bool, "diabetic" string, "hypoglycemia" bool, "diabetes" bool, "seizure_disorder" bool, "glaucoma" bool, "hypertension" bool, "age" float, "NOUSE" float )
SELECT * FROM table_train_199 WHERE hypoglycemia = 1 OR seizure_disorder = 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9719, 834, 19479, 41, 96, 23, 26, 121, 16, 17, 6, 96, 17, 357, 26, 51, 121, 3, 12840, 40, 6, 96, 6015, 32, 14063, 77, 834, 9, 536, 75, 834, 107, 115, 9, 536, 75, 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, 1429, 21680, 953, 834, 9719, 834, 19479, 549, 17444, 427, 10950, 122, 120, 75, 11658, 3274, 209, 4674, 4736, 1000, 60, 834, 26, 159, 9397, 3274, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is Opponent, when Record is 17-44?
CREATE TABLE table_name_98 (opponent VARCHAR, record VARCHAR)
SELECT opponent FROM table_name_98 WHERE record = "17-44"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 32, 102, 9977, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 4495, 9977, 6, 116, 11392, 19, 1003, 18, 3628, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15264, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 1368, 3274, 96, 2517, 18, 3628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many episodes directed by david carson?
CREATE TABLE table_27836 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" text )
SELECT COUNT("No. in season") FROM table_27836 WHERE "Directed by" = 'David Carson'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3940, 3420, 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, 357, 3940, 3420, 549, 17444, 427, 96, 23620, 15, 26, 57, 121, 3274, 3, 31, 308, 9, 6961, 25912, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100...
specify the ethnic origin and age of patient jerry deberry
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
SELECT demographic.age, demographic.ethnicity FROM demographic WHERE demographic.name = "Jerry Deberry"
[ 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, 14798, 5, 545, 6, 14798, 5, 15, 189, 2532, 485, 21680, 14798, 549, 17444, 427, 14798, 5, 4350, 3274, 96, 683, 49, 651, 374, 7418, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the school of the player with a college hall of fame nevers hof profile?
CREATE TABLE table_name_50 (school VARCHAR, college_hall_of_fame VARCHAR)
SELECT school FROM table_name_50 WHERE college_hall_of_fame = "nevers hof profile"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 6646, 584, 4280, 28027, 6, 1900, 834, 11516, 834, 858, 834, 89, 265, 15, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 496, 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, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 496, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 1900, 834, 11516, 834, 858, 834, 89, 265, 15, 3274, 96, 29, 3258, 7, 3534, 89, 3278, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the location code with the most documents?
CREATE TABLE Document_locations (location_code VARCHAR)
SELECT location_code FROM Document_locations GROUP BY location_code ORDER BY COUNT(*) DESC LIMIT 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 11167, 834, 14836, 7, 41, 14836, 834, 4978, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1128, 1081, 28, 8, 167, 2691, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 834, 4978, 21680, 11167, 834, 14836, 7, 350, 4630, 6880, 272, 476, 1128, 834, 4978, 4674, 11300, 272, 476, 2847, 17161, 599, 1935, 61, 309, 25067, 8729, 12604, 209, 1, -100, -100, -100, -100, -100, -100, -100, -...
Which Touchdowns is the lowest one that has Points of 5, and a Field goals larger than 0?
CREATE TABLE table_name_81 (touchdowns INTEGER, points VARCHAR, field_goals VARCHAR)
SELECT MIN(touchdowns) FROM table_name_81 WHERE points = 5 AND field_goals > 0
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 17681, 3035, 7, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 6, 1057, 834, 839, 5405, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 4073, 11031, 303...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17681, 3035, 7, 61, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 979, 3274, 305, 3430, 1057, 834, 839, 5405, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many party were listed for district oklahoma 5?
CREATE TABLE table_1341423_36 (party VARCHAR, district VARCHAR)
SELECT COUNT(party) FROM table_1341423_36 WHERE district = "Oklahoma 5"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23747, 2534, 2773, 834, 3420, 41, 8071, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 1088, 130, 2616, 21, 3939, 3, 32, 8142, 1020...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 8071, 61, 21680, 953, 834, 23747, 2534, 2773, 834, 3420, 549, 17444, 427, 3939, 3274, 96, 667, 8142, 10207, 9, 3, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many times did the team play charlotte?
CREATE TABLE table_21226 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Record" text )
SELECT COUNT("Record") FROM table_21226 WHERE "Team" = 'Charlotte'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 24837, 2688, 41, 96, 23055, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 18699, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 21417, 979, 121, 1499, 6, 96, 21417, 3, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 1649, 7621, 8512, 21680, 953, 834, 24837, 2688, 549, 17444, 427, 96, 18699, 121, 3274, 3, 31, 18947, 21538, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
renal disease: urine dipstick 4+ protein, serum creatinine is greater than or equal to 1.4 mg / dl ( female ) or is greater than or equal to 1.5 mg / dl ( male ) or currently receiving dialysis
CREATE TABLE table_dev_21 ( "id" int, "gender" string, "leukopenia" int, "dialysis" bool, "hemoglobin_a1c_hba1c" float, "cd4_count" int, "platelets" int, "renal_disease" bool, "fasting_triglycerides" int, "hyperlipidemia" bool, "lymphopenia" int, "hba1c" float, "fasting_ldl_cholesterol" int, "serum_creatinine" float, "baseline_hemoglobin_hgb" float, "triglyceride_tg" float, "NOUSE" float )
SELECT * FROM table_dev_21 WHERE renal_disease = 1 OR (serum_creatinine >= 1.4 AND gender = 'female') OR (serum_creatinine >= 1.5 AND gender = 'male') OR dialysis = 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 9776, 834, 2658, 41, 96, 23, 26, 121, 16, 17, 6, 96, 122, 3868, 121, 6108, 6, 96, 109, 1598, 8751, 23, 9, 121, 16, 17, 6, 96, 26, 23, 9, 21091, 121, 3, 12840, 40, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1429, 21680, 953, 834, 9776, 834, 2658, 549, 17444, 427, 23328, 834, 26, 159, 14608, 3274, 209, 4674, 41, 7, 49, 440, 834, 5045, 144, 77, 630, 2490, 2423, 3, 14912, 3430, 7285, 3274, 3, 31, 89, 15, 13513, 31, 61, ...