NATURAL_LANG
stringlengths
0
446
SCHEMA
stringlengths
27
2.21k
SQL
stringlengths
18
453
input_ids
list
attention_mask
list
labels
list
What final score was there on October 8, 2006?
CREATE TABLE table_name_96 ( score_in_the_final VARCHAR, date VARCHAR )
SELECT score_in_the_final FROM table_name_96 WHERE date = "october 8, 2006"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 2604, 834, 77, 834, 532, 834, 12406, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 804, 2604, 47, 132, 30, 179...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 834, 77, 834, 532, 834, 12406, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 833, 3274, 96, 32, 75, 235, 1152, 9478, 3581, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
what is the difference in silver medals between china and chinese taipei ?
CREATE TABLE table_203_576 ( id number, "rank" number, "nation" text, "gold" number, "silver" number, "bronze" number, "total" number )
SELECT (SELECT "silver" FROM table_203_576 WHERE "nation" = 'china') - (SELECT "silver" FROM table_203_576 WHERE "nation" = 'chinese taipei')
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 755, 3959, 41, 3, 23, 26, 381, 6, 96, 6254, 121, 381, 6, 96, 29, 257, 121, 1499, 6, 96, 14910, 121, 381, 6, 96, 7, 173, 624, 121, 381, 6, 96, 13711, 776, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 41, 23143, 14196, 96, 7, 173, 624, 121, 21680, 953, 834, 23330, 834, 755, 3959, 549, 17444, 427, 96, 29, 257, 121, 3274, 3, 31, 5675, 9, 31, 61, 3, 18, 41, 23143, 14196, 96, 7, 173, 624, 121, 21680, 953, 834, ...
What is the number of gt1 winning team for rnd 5?
CREATE TABLE table_12146068_2 (gt1_winning_team VARCHAR, rnd VARCHAR)
SELECT COUNT(gt1_winning_team) FROM table_12146068_2 WHERE rnd = 5
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 22011, 25991, 3651, 834, 357, 41, 122, 17, 536, 834, 8163, 834, 11650, 584, 4280, 28027, 6, 3, 52, 727, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 381...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 122, 17, 536, 834, 8163, 834, 11650, 61, 21680, 953, 834, 22011, 25991, 3651, 834, 357, 549, 17444, 427, 3, 52, 727, 3274, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is North American Release Date, when Japanese Release Date is "2011-06-23"?
CREATE TABLE table_name_17 (north_american_release_date VARCHAR, japanese_release_date VARCHAR)
SELECT north_american_release_date FROM table_name_17 WHERE japanese_release_date = "2011-06-23"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 29, 127, 189, 834, 23064, 29, 834, 21019, 834, 5522, 584, 4280, 28027, 6, 2662, 2837, 15, 7, 15, 834, 21019, 834, 5522, 584, 4280, 28027, 61, 3, 32102,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3457, 834, 23064, 29, 834, 21019, 834, 5522, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 2662, 2837, 15, 7, 15, 834, 21019, 834, 5522, 3274, 96, 13907, 18, 5176, 18, 2773, 121, 1, -100, -100, -100, -100, -100...
What country does charles coody play for?
CREATE TABLE table_name_21 ( country VARCHAR, player VARCHAR )
SELECT country FROM table_name_21 WHERE player = "charles coody"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 684, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 684, 405, 3, 4059, 965, 576, 9666, 577, 21, 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, 684, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 1959, 3274, 96, 4059, 965, 576, 9666, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
In the 6th round match with home team Bahia, who was the away team?
CREATE TABLE table_42254 ( "Round" text, "Date" text, "Home team" text, "Score" text, "Away team" text )
SELECT "Away team" FROM table_42254 WHERE "Round" = '6th' AND "Home team" = 'bahia'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4165, 1828, 591, 41, 96, 448, 32, 1106, 121, 1499, 6, 96, 308, 342, 121, 1499, 6, 96, 19040, 372, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 188, 1343, 372, 121, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 188, 1343, 372, 121, 21680, 953, 834, 4165, 1828, 591, 549, 17444, 427, 96, 448, 32, 1106, 121, 3274, 3, 31, 948, 189, 31, 3430, 96, 19040, 372, 121, 3274, 3, 31, 17670, 23, 9, 31, 1, -100, -100, -100, -100,...
how many hours have elapsed since patient 011-55642 was admitted to the hospital?
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 allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time )
SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', patient.hospitaladmittime)) FROM patient WHERE patient.uniquepid = '011-55642' AND patient.hospitaldischargetime IS NULL
[ 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, 7757, 41, 7757, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 997, 1429, 41, 13733, 6245, 15382, 599, 31, 1454, 354, 31, 6, 3, 5211, 12224, 6431, 834, 382, 15382, 9960, 61, 3, 18, 3, 13733, 6245, 15382, 599, 31, 1454, 354, 31, 6, 1868, 5, 31386, 20466, 17, 715, 61, 61, 216...
How many teams won more than 2 silver medals and fewer than 2 Bronze medals?
CREATE TABLE table_name_38 ( rank VARCHAR, silver VARCHAR, bronze VARCHAR )
SELECT COUNT(rank) FROM table_name_38 WHERE silver > 2 AND bronze < 2
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 11003, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 6, 13467, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 2323, 751, 72, 145, 204, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 6254, 61, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 4294, 2490, 204, 3430, 13467, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
With U.S. viewers of 9.32 million, what is the production code?
CREATE TABLE table_19266557_1 (production_code VARCHAR, us_viewers__millions_ VARCHAR)
SELECT production_code FROM table_19266557_1 WHERE us_viewers__millions_ = "9.32"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 2688, 4122, 3436, 834, 536, 41, 20762, 834, 4978, 584, 4280, 28027, 6, 178, 834, 4576, 277, 834, 834, 17030, 7, 834, 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, 0, 0, 0, 0...
[ 3, 23143, 14196, 999, 834, 4978, 21680, 953, 834, 2294, 2688, 4122, 3436, 834, 536, 549, 17444, 427, 178, 834, 4576, 277, 834, 834, 17030, 7, 834, 3274, 96, 8797, 2668, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
how many patients were born before the year 2101 with the procedure long title closed biopsy of skin and subcutaneous tissue?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE 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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2101" AND procedures.long_title = "Closed biopsy of skin and subcutaneous tissue"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
What is the average goals Sawyer has?
CREATE TABLE table_name_46 (goals INTEGER, name VARCHAR)
SELECT AVG(goals) FROM table_name_46 WHERE name = "sawyer"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4448, 41, 839, 5405, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 1348, 1766, 19716, 7975, 65, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 839, 5405, 61, 21680, 953, 834, 4350, 834, 4448, 549, 17444, 427, 564, 3274, 96, 13125, 7975, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What years was Lebanon the nationality?
CREATE TABLE table_name_82 ( years_in_orlando VARCHAR, nationality VARCHAR )
SELECT years_in_orlando FROM table_name_82 WHERE nationality = "lebanon"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 203, 834, 77, 834, 32, 7721, 32, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 203, 47, 21502, 8, 1157, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 203, 834, 77, 834, 32, 7721, 32, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 1157, 485, 3274, 96, 109, 3478, 106, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who was the opponent during week 8?
CREATE TABLE table_name_67 ( opponent VARCHAR, week VARCHAR )
SELECT opponent FROM table_name_67 WHERE week = 8
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 15264, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 2645, 47, 8, 15264, 383, 471, 505, 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, 15264, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 471, 3274, 505, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What are the comments when vendor and type is enterasys switches?
CREATE TABLE table_1206114_2 ( comments VARCHAR, vendor_and_type VARCHAR )
SELECT comments FROM table_1206114_2 WHERE vendor_and_type = "Enterasys Switches"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 15518, 4241, 2534, 834, 357, 41, 2622, 584, 4280, 28027, 6, 11407, 834, 232, 834, 6137, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 8, 2622, 116, 11407, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2622, 21680, 953, 834, 15518, 4241, 2534, 834, 357, 549, 17444, 427, 11407, 834, 232, 834, 6137, 3274, 96, 16924, 1498, 7, 63, 7, 13218, 15, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who's the opponent with a time of 3:24?
CREATE TABLE table_13265 ( "Res." text, "Record" text, "Opponent" text, "Method" text, "Event" text, "Round" real, "Time" text, "Location" text )
SELECT "Opponent" FROM table_13265 WHERE "Time" = '3:24'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23757, 4122, 41, 96, 1649, 7, 535, 1499, 6, 96, 1649, 7621, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 23351, 107, 32, 26, 121, 1499, 6, 96, 427, 2169, 121, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 667, 102, 9977, 121, 21680, 953, 834, 23757, 4122, 549, 17444, 427, 96, 13368, 121, 3274, 3, 31, 519, 10, 2266, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the total number of Game, when Attendance is '18,568'?
CREATE TABLE table_name_7 ( game VARCHAR, attendance VARCHAR )
SELECT COUNT(game) FROM table_name_7 WHERE attendance = 18 OFFSET 568
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 467, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 792, 381, 13, 4435, 6, 116, 22497, 663, 19, 3, 31...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 7261, 61, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 11364, 3274, 507, 3, 15316, 20788, 305, 3651, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Show all main industry for all companies.
CREATE TABLE company ( main_industry VARCHAR )
SELECT DISTINCT main_industry FROM company
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 349, 41, 711, 834, 13580, 7, 8224, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 3111, 66, 711, 681, 21, 66, 688, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 15438, 25424, 6227, 711, 834, 13580, 7, 8224, 21680, 349, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the radio 1 presenter for the broadcast that had 9.73 million viewers?
CREATE TABLE table_24212608_1 (radio_1_presenter VARCHAR, viewers__millions_ VARCHAR)
SELECT radio_1_presenter FROM table_24212608_1 WHERE viewers__millions_ = "9.73"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 2658, 2688, 4018, 834, 536, 41, 5883, 32, 834, 536, 834, 12640, 49, 584, 4280, 28027, 6, 13569, 834, 834, 17030, 7, 834, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 2252, 834, 536, 834, 12640, 49, 21680, 953, 834, 2266, 2658, 2688, 4018, 834, 536, 549, 17444, 427, 13569, 834, 834, 17030, 7, 834, 3274, 96, 8797, 4552, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the countries of perpetrators? Show each country and the corresponding number of perpetrators there Plot them as bar chart, I want to show names from low to high order.
CREATE TABLE people ( People_ID int, Name text, Height real, Weight real, "Home Town" text ) CREATE TABLE perpetrator ( Perpetrator_ID int, People_ID int, Date text, Year real, Location text, Country text, Killed int, Injured int )
SELECT Country, COUNT(*) FROM perpetrator GROUP BY Country ORDER BY Country
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 151, 41, 2449, 834, 4309, 16, 17, 6, 5570, 1499, 6, 24231, 490, 6, 14230, 490, 6, 96, 19040, 4463, 121, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 28998, 127, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 6993, 6, 2847, 17161, 599, 1935, 61, 21680, 28998, 127, 350, 4630, 6880, 272, 476, 6993, 4674, 11300, 272, 476, 6993, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Road Team of Game 3?
CREATE TABLE table_name_64 ( road_team VARCHAR, game VARCHAR )
SELECT road_team FROM table_name_64 WHERE game = "game 3"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 1373, 834, 11650, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 2409, 2271, 13, 4435, 220, 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, 1373, 834, 11650, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 467, 3274, 96, 7261, 220, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the city for enrollment being 19900
CREATE TABLE table_27378582_1 (city VARCHAR, enrollment VARCHAR)
SELECT city FROM table_27378582_1 WHERE enrollment = 19900
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2555, 4118, 4433, 4613, 834, 536, 41, 6726, 584, 4280, 28027, 6, 17938, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 690, 21, 17938, 271, 5541, 632, 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, 690, 21680, 953, 834, 2555, 4118, 4433, 4613, 834, 536, 549, 17444, 427, 17938, 3274, 5541, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the country of player vijay singh?
CREATE TABLE table_name_59 (country VARCHAR, player VARCHAR)
SELECT country FROM table_name_59 WHERE player = "vijay singh"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 17529, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 684, 13, 1959, 5931, 1191, 63, 10159, 107, 58, 1, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 1959, 3274, 96, 2099, 1191, 63, 10159, 107, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the local/networked value for the show with an ad frequency of N/A?
CREATE TABLE table_name_38 (local_networked VARCHAR, ad_freq VARCHAR)
SELECT local_networked FROM table_name_38 WHERE ad_freq = "n/a"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 16882, 834, 1582, 1981, 15, 26, 584, 4280, 28027, 6, 3, 9, 26, 834, 89, 60, 1824, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 41...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 415, 834, 1582, 1981, 15, 26, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 3, 9, 26, 834, 89, 60, 1824, 3274, 96, 29, 87, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the nationality of the player with 2 years of NBA experience for the previously played for the Los Angeles Lakers?
CREATE TABLE table_name_23 (nationality VARCHAR, previous_team VARCHAR, years_of_nba_experience_ VARCHAR, a_ VARCHAR)
SELECT nationality FROM table_name_23 WHERE years_of_nba_experience_[a_] = 2 AND previous_team = "los angeles lakers"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 16557, 485, 584, 4280, 28027, 6, 1767, 834, 11650, 584, 4280, 28027, 6, 203, 834, 858, 834, 29, 115, 9, 834, 22602, 834, 584, 4280, 28027, 6, 3, 9, 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, 1157, 485, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 203, 834, 858, 834, 29, 115, 9, 834, 22602, 834, 6306, 9, 834, 908, 3274, 204, 3430, 1767, 834, 11650, 3274, 96, 2298, 11831, 15, 7, 50, 11758, 121, 1,...
how many total players withdrew from the 2010 french open tennis competition ?
CREATE TABLE table_204_188 ( id number, "rank" number, "player" text, "points" number, "points defending" number, "points won" number, "new points" number, "withdrew due to" text )
SELECT COUNT("player") FROM table_204_188
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 26363, 834, 25794, 41, 3, 23, 26, 381, 6, 96, 6254, 121, 381, 6, 96, 20846, 121, 1499, 6, 96, 2700, 7, 121, 381, 6, 96, 2700, 7, 3, 20309, 121, 381, 6, 96, 2700, 7, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 121, 20846, 8512, 21680, 953, 834, 26363, 834, 25794, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what secretary of state served under both prime minister laurier and prime minister king ?
CREATE TABLE table_201_27 ( id number, "#" number, "secretary of state" text, "prime minister" text, "tenure" text )
SELECT "secretary of state" FROM table_201_27 WHERE "prime minister" = 'laurier' INTERSECT SELECT "secretary of state" FROM table_201_27 WHERE "prime minister" = 'king'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 22772, 834, 2555, 41, 3, 23, 26, 381, 6, 96, 4663, 121, 381, 6, 96, 27527, 1208, 13, 538, 121, 1499, 6, 96, 8234, 15, 6323, 121, 1499, 6, 96, 324, 1462, 121, 1499, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 27527, 1208, 13, 538, 121, 21680, 953, 834, 22772, 834, 2555, 549, 17444, 427, 96, 8234, 15, 6323, 121, 3274, 3, 31, 521, 459, 49, 31, 3, 21342, 5249, 14196, 3, 23143, 14196, 96, 27527, 1208, 13, 538, 121, 216...
What is the tourism competitiveness in 2011 of venezuela?
CREATE TABLE table_name_90 ( tourism_competitiveness__2011___ttci_ VARCHAR, country VARCHAR )
SELECT tourism_competitiveness__2011___ttci_ FROM table_name_90 WHERE country = "venezuela"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 8676, 834, 287, 19427, 757, 655, 834, 834, 13907, 834, 834, 834, 17, 17, 75, 23, 834, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 3, 61, 3, 32102, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 8676, 834, 287, 19427, 757, 655, 834, 834, 13907, 834, 834, 834, 17, 17, 75, 23, 834, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 684, 3274, 96, 25277, 76, 15, 521, 121, 1, -100, -100, -100, -100, -100, -10...
What is the final for middleweight 75 kg?
CREATE TABLE table_name_88 ( final VARCHAR, event VARCHAR )
SELECT final FROM table_name_88 WHERE event = "middleweight –75 kg"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 804, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 804, 21, 2214, 9378, 6374, 9147, 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, 804, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 605, 3274, 96, 51, 23, 8437, 9378, 3, 104, 3072, 9147, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the name of the circuit when Phil Hill has the fastest lap?
CREATE TABLE table_name_1 (circuit VARCHAR, fastest_lap VARCHAR)
SELECT circuit FROM table_name_1 WHERE fastest_lap = "phil hill"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 15357, 21560, 584, 4280, 28027, 6, 10391, 834, 8478, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 564, 13, 8, 4558, 116, 8188, 3588, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4558, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 10391, 834, 8478, 3274, 96, 18118, 9956, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What number episode in the series was titled 'Best Laid Plans'?
CREATE TABLE table_3988 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" real )
SELECT MAX("No. in series") FROM table_3988 WHERE "Title" = 'Best Laid Plans'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3288, 4060, 41, 96, 4168, 5, 16, 939, 121, 490, 6, 96, 4168, 5, 16, 774, 121, 490, 6, 96, 382, 155, 109, 121, 1499, 6, 96, 23620, 15, 26, 57, 121, 1499, 6, 96, 24965,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 4168, 5, 16, 939, 8512, 21680, 953, 834, 3288, 4060, 549, 17444, 427, 96, 382, 155, 109, 121, 3274, 3, 31, 17278, 325, 23, 26, 14423, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the sum of the prominence in m of moussa ali terara peak?
CREATE TABLE table_name_88 (prominence__m_ INTEGER, peak VARCHAR)
SELECT SUM(prominence__m_) FROM table_name_88 WHERE peak = "moussa ali terara"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 1409, 1109, 1433, 834, 834, 51, 834, 3, 21342, 17966, 6, 6734, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 4505, 13, 8, 31829, 16,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 1409, 1109, 1433, 834, 834, 51, 834, 61, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 6734, 3274, 96, 51, 1162, 7, 9, 3, 4288, 3, 449, 2551, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
Name the player for 68-68-75-74=285
CREATE TABLE table_70165 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text, "Money ( $ )" text )
SELECT "Player" FROM table_70165 WHERE "Score" = '68-68-75-74=285'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2518, 22823, 41, 96, 345, 11706, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 3696, 260, 121, 1499, 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, 15800, 49, 121, 21680, 953, 834, 2518, 22823, 549, 17444, 427, 96, 134, 9022, 121, 3274, 3, 31, 3651, 18, 3651, 18, 3072, 18, 4581, 2423, 357, 4433, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What stadium does FK Jedinstvo play in?
CREATE TABLE table_28668784_1 (stadium VARCHAR, home_team VARCHAR)
SELECT stadium FROM table_28668784_1 WHERE home_team = "FK Jedinstvo"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3539, 4225, 4608, 834, 536, 41, 2427, 12925, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 14939, 405, 377, 439, 29231, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14939, 21680, 953, 834, 2577, 3539, 4225, 4608, 834, 536, 549, 17444, 427, 234, 834, 11650, 3274, 96, 371, 439, 29231, 29, 7, 17, 1621, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the weights of entrepreneurs in descending order of money requested?
CREATE TABLE people ( Weight VARCHAR, People_ID VARCHAR ) CREATE TABLE entrepreneur ( People_ID VARCHAR, Money_Requested VARCHAR )
SELECT T2.Weight FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Money_Requested DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 151, 41, 14230, 584, 4280, 28027, 6, 2449, 834, 4309, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 3, 12290, 41, 2449, 834, 4309, 584, 4280, 28027, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 4416, 1326, 2632, 21680, 3, 12290, 6157, 332, 536, 3, 15355, 3162, 151, 6157, 332, 357, 9191, 332, 5411, 24337, 834, 4309, 3274, 332, 4416, 24337, 834, 4309, 4674, 11300, 272, 476, 332, 5411, 9168, 15, 63, 834, ...
Who was the Japan open runner up?
CREATE TABLE table_77803 ( "Date" text, "Tournament" text, "Winning score" text, "Margin of victory" text, "Runner-up" text )
SELECT "Runner-up" FROM table_77803 WHERE "Tournament" = 'japan open'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4013, 2079, 519, 41, 96, 308, 342, 121, 1499, 6, 96, 382, 1211, 20205, 17, 121, 1499, 6, 96, 518, 10503, 2604, 121, 1499, 6, 96, 7286, 122, 77, 13, 6224, 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, 23572, 18, 413, 121, 21680, 953, 834, 4013, 2079, 519, 549, 17444, 427, 96, 382, 1211, 20205, 17, 121, 3274, 3, 31, 1191, 2837, 539, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
who is the the mens singles with mens doubles being kaj lindfors kaj osterberg
CREATE TABLE table_19031 ( "Year" real, "Mens singles" text, "Womens singles" text, "Mens doubles" text, "Womens doubles" text, "Mixed doubles" text )
SELECT "Mens singles" FROM table_19031 WHERE "Mens doubles" = 'Kaj Lindfors Kaj Osterberg'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 11776, 3341, 41, 96, 476, 2741, 121, 490, 6, 96, 329, 35, 7, 712, 7, 121, 1499, 6, 96, 518, 32, 904, 7, 712, 7, 121, 1499, 6, 96, 329, 35, 7, 1486, 7, 121, 1499, 6,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 329, 35, 7, 712, 7, 121, 21680, 953, 834, 11776, 3341, 549, 17444, 427, 96, 329, 35, 7, 1486, 7, 121, 3274, 3, 31, 439, 9, 354, 14482, 1161, 7, 2209, 354, 22054, 2235, 31, 1, -100, -100, -100, -100, -100, ...
What's the smallest pick number of a player playing in Minnesota North Stars?
CREATE TABLE table_23129 ( "Pick #" real, "Player" text, "Position" text, "Nationality" text, "NHL team" text, "College/junior/club team" text )
SELECT MIN("Pick #") FROM table_23129 WHERE "NHL team" = 'Minnesota North Stars'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2773, 22174, 41, 96, 345, 3142, 1713, 121, 490, 6, 96, 15800, 49, 121, 1499, 6, 96, 345, 32, 7, 4749, 121, 1499, 6, 96, 24732, 485, 121, 1499, 6, 96, 15743, 434, 372, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 121, 345, 3142, 1713, 8512, 21680, 953, 834, 2773, 22174, 549, 17444, 427, 96, 15743, 434, 372, 121, 3274, 3, 31, 12858, 1496, 32, 17, 9, 1117, 2042, 7, 31, 1, -100, -100, -100, -100, -100, -100, -1...
What is the largest number of top division titles with a 2012 position of 10th?
CREATE TABLE table_name_13 ( top_division_titles INTEGER, position_in_2012 VARCHAR )
SELECT MAX(top_division_titles) FROM table_name_13 WHERE position_in_2012 = "10th"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 420, 834, 26, 23, 6610, 834, 21869, 7, 3, 21342, 17966, 6, 1102, 834, 77, 834, 12172, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 2916, 834, 26, 23, 6610, 834, 21869, 7, 61, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 1102, 834, 77, 834, 12172, 3274, 96, 1714, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the opponent of the home team of essendon?
CREATE TABLE table_57611 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT "Away team" FROM table_57611 WHERE "Home team" = 'essendon'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3436, 4241, 536, 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, 188, 1343, 372, 121, 21680, 953, 834, 3436, 4241, 536, 549, 17444, 427, 96, 19040, 372, 121, 3274, 3, 31, 8185, 2029, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What pick number was the player that was picked by Edmonton?
CREATE TABLE table_28059992_5 ( pick__number VARCHAR, cfl_team VARCHAR )
SELECT pick__number FROM table_28059992_5 WHERE cfl_team = "Edmonton"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3076, 19446, 357, 834, 755, 41, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 3, 75, 89, 40, 834, 11650, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 36...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1432, 834, 834, 5525, 1152, 21680, 953, 834, 2577, 3076, 19446, 357, 834, 755, 549, 17444, 427, 3, 75, 89, 40, 834, 11650, 3274, 96, 427, 26, 4662, 106, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is L2 Cache, when Model Number is Atom Z625?
CREATE TABLE table_name_60 ( l2_cache VARCHAR, model_number VARCHAR )
SELECT l2_cache FROM table_name_60 WHERE model_number = "atom z625"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3328, 41, 3, 40, 357, 834, 75, 4933, 584, 4280, 28027, 6, 825, 834, 5525, 1152, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 301, 357, 205, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 40, 357, 834, 75, 4933, 21680, 953, 834, 4350, 834, 3328, 549, 17444, 427, 825, 834, 5525, 1152, 3274, 96, 10432, 3, 172, 4056, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the total swimsuit with Preliminaries smaller than 8.27?
CREATE TABLE table_name_48 (swimsuit INTEGER, preliminaries INTEGER)
SELECT SUM(swimsuit) FROM table_name_48 WHERE preliminaries < 8.27
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 7, 210, 603, 7628, 3, 21342, 17966, 6, 554, 4941, 77, 5414, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 792, 9728, 7628, 28, 1266, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 7, 210, 603, 7628, 61, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 554, 4941, 77, 5414, 3, 2, 4848, 2555, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
For those records from the products and each product's manufacturer, a bar chart shows the distribution of founder and the average of code , and group by attribute founder, and I want to sort by the the average of code from high to low.
CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER ) CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL )
SELECT T2.Founder, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder ORDER BY T1.Code DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7554, 41, 3636, 3, 21342, 17966, 6, 5570, 584, 4280, 28027, 599, 25502, 201, 5312, 3396, 254, 26330, 434, 6, 15248, 3, 21342, 17966, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 332, 4416, 19145, 6, 332, 5411, 22737, 21680, 7554, 6157, 332, 536, 3, 15355, 3162, 15248, 7, 6157, 332, 357, 9191, 332, 5411, 7296, 76, 8717, 450, 49, 3274, 332, 4416, 22737, 350, 4630, 6880, 272, 476, 332, 4416, 1...
Episode of 9 in which performer 3 had?
CREATE TABLE table_36205 ( "Date" text, "Episode" real, "Performer 1" text, "Performer 2" text, "Performer 3" text, "Performer 4" text )
SELECT "Performer 3" FROM table_36205 WHERE "Episode" = '9'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3420, 23201, 41, 96, 308, 342, 121, 1499, 6, 96, 427, 102, 159, 32, 221, 121, 490, 6, 96, 12988, 2032, 49, 209, 121, 1499, 6, 96, 12988, 2032, 49, 204, 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, 12988, 2032, 49, 220, 121, 21680, 953, 834, 3420, 23201, 549, 17444, 427, 96, 427, 102, 159, 32, 221, 121, 3274, 3, 31, 1298, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is discharge time and diagnoses short title of subject name cynthia robinson?
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 demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
SELECT demographic.dischtime, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Cynthia Robinson"
[ 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, 14798, 5, 26, 2499, 715, 6, 18730, 7, 5, 7, 14184, 834, 21869, 21680, 14798, 3388, 18206, 3, 15355, 3162, 18730, 7, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 18730, 7, 5, 8399, 51, 834, 23, 26, 549, 17444, 42...
What is the level when points are larger than 25, and goals are 64–31?
CREATE TABLE table_name_43 (level VARCHAR, points VARCHAR, goals VARCHAR)
SELECT level FROM table_name_43 WHERE points > 25 AND goals = "64–31"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 4563, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 1766, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 593, 116, 979, 33, 2186, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 593, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 979, 2490, 944, 3430, 1766, 3274, 96, 4389, 104, 3341, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Show the number of names of phones in a bar chart, display by the y-axis in asc.
CREATE TABLE phone ( Name text, Phone_ID int, Memory_in_G int, Carrier text, Price real ) CREATE TABLE phone_market ( Market_ID int, Phone_ID text, Num_of_stock int ) CREATE TABLE market ( Market_ID int, District text, Num_of_employees int, Num_of_shops real, Ranking int )
SELECT Name, COUNT(Name) FROM phone_market AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID JOIN phone AS T3 ON T1.Phone_ID = T3.Phone_ID GROUP BY Name ORDER BY COUNT(Name)
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 951, 41, 5570, 1499, 6, 8924, 834, 4309, 16, 17, 6, 19159, 834, 77, 834, 517, 16, 17, 6, 1184, 6711, 1499, 6, 5312, 490, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 23954, 61, 21680, 951, 834, 8809, 6157, 332, 536, 3, 15355, 3162, 512, 6157, 332, 357, 9191, 332, 5411, 22572, 834, 4309, 3274, 332, 4416, 22572, 834, 4309, 3, 15355, 3162, 951, 6157, 332, ...
Which driver has the highest point total after winning $133,386?
CREATE TABLE table_12047 ( "Driver" text, "Car #" real, "Make" text, "Points" real, "Laps" real, "Winnings" text )
SELECT MAX("Points") FROM table_12047 WHERE "Winnings" = '$133,386'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 15518, 4177, 41, 96, 20982, 52, 121, 1499, 6, 96, 6936, 1713, 121, 490, 6, 96, 22638, 121, 1499, 6, 96, 22512, 7, 121, 490, 6, 96, 3612, 102, 7, 121, 490, 6, 96, 518, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 22512, 7, 8512, 21680, 953, 834, 15518, 4177, 549, 17444, 427, 96, 518, 10503, 7, 121, 3274, 3, 31, 3229, 22974, 6, 519, 3840, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the event with leonardo chocolate in 2009?
CREATE TABLE table_56893 ( "Result" text, "Opponent" text, "Method" text, "Event" text, "Date" real )
SELECT "Event" FROM table_56893 WHERE "Date" = '2009' AND "Opponent" = 'leonardo chocolate'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4834, 3914, 519, 41, 96, 20119, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 23351, 107, 32, 26, 121, 1499, 6, 96, 427, 2169, 121, 1499, 6, 96, 308, 342, 121, 49...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 427, 2169, 121, 21680, 953, 834, 4834, 3914, 519, 549, 17444, 427, 96, 308, 342, 121, 3274, 3, 31, 16660, 31, 3430, 96, 667, 102, 9977, 121, 3274, 3, 31, 109, 106, 986, 32, 3711, 31, 1, -100, -100, -100, -10...
In 2010-11, what was the League name?
CREATE TABLE table_74941 ( "Year" text, "League" text, "Reg. Season" text, "Playoffs" text, "Avg. attendance" text )
SELECT "League" FROM table_74941 WHERE "Year" = '2010-11'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4581, 4240, 536, 41, 96, 476, 2741, 121, 1499, 6, 96, 2796, 9, 5398, 121, 1499, 6, 96, 17748, 5, 7960, 121, 1499, 6, 96, 15800, 1647, 7, 121, 1499, 6, 96, 188, 208, 122...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2796, 9, 5398, 121, 21680, 953, 834, 4581, 4240, 536, 549, 17444, 427, 96, 476, 2741, 121, 3274, 3, 31, 14926, 9169, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What shows for gold when the rank is less than 3, and silver less than 1?
CREATE TABLE table_name_62 (gold INTEGER, rank VARCHAR, silver VARCHAR)
SELECT SUM(gold) FROM table_name_62 WHERE rank < 3 AND silver < 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4056, 41, 14910, 3, 21342, 17966, 6, 11003, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 1267, 21, 2045, 116, 8, 11003, 19,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 14910, 61, 21680, 953, 834, 4350, 834, 4056, 549, 17444, 427, 11003, 3, 2, 220, 3430, 4294, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the result of the game with a score of 3-2?
CREATE TABLE table_40531 ( "Date" text, "Venue" text, "Score" text, "Result" text, "Competition" text )
SELECT "Result" FROM table_40531 WHERE "Score" = '3-2'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 591, 3076, 3341, 41, 96, 308, 342, 121, 1499, 6, 96, 553, 35, 76, 15, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 5890, 4995, 4749, 121, 149...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 20119, 121, 21680, 953, 834, 591, 3076, 3341, 549, 17444, 427, 96, 134, 9022, 121, 3274, 3, 31, 21160, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of email and department_id in a bar chart, order in desc by the Y.
CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) 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) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) )
SELECT EMAIL, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY DEPARTMENT_ID DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 2476, 41, 446, 10539, 834, 4309, 3, 4331, 4059, 599, 16968, 6, 446, 10539, 834, 382, 3177, 3765, 3, 4331, 4059, 599, 2469, 201, 3, 17684, 834, 134, 4090, 24721, 7908, 1982, 599, 11071,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 20211, 3502, 6, 3396, 19846, 11810, 834, 4309, 21680, 1652, 549, 17444, 427, 4486, 3396, 19846, 11810, 834, 4309, 3388, 41, 23143, 14196, 3396, 19846, 11810, 834, 4309, 21680, 10521, 549, 17444, 427, 283, 15610, 17966,...
What is the lowest game number when the record was 26-24-9?
CREATE TABLE table_46036 ( "Game" real, "February" real, "Opponent" text, "Score" text, "Record" text )
SELECT MIN("Game") FROM table_46036 WHERE "Record" = '26-24-9'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 25991, 3420, 41, 96, 23055, 121, 490, 6, 96, 31122, 121, 490, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 1649, 7621, 121, 1499, 3, 61, 3, 321...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 3, 17684, 599, 121, 23055, 8512, 21680, 953, 834, 25991, 3420, 549, 17444, 427, 96, 1649, 7621, 121, 3274, 3, 31, 2688, 14962, 7141, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What place is Scott McCarron in?
CREATE TABLE table_59870 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text, "Money ( $ )" real )
SELECT "Place" FROM table_59870 WHERE "Player" = 'scott mccarron'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 755, 3916, 2518, 41, 96, 345, 11706, 121, 1499, 6, 96, 15800, 49, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 134, 9022, 121, 1499, 6, 96, 3696, 260, 121, 1499, 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, 345, 11706, 121, 21680, 953, 834, 755, 3916, 2518, 549, 17444, 427, 96, 15800, 49, 121, 3274, 3, 31, 7, 10405, 3, 51, 75, 1720, 52, 106, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
who is the husband when ceased to be dauphine is 22 july 1461 became queen?
CREATE TABLE table_name_36 (husband VARCHAR, ceased_to_be_dauphine VARCHAR)
SELECT husband FROM table_name_36 WHERE ceased_to_be_dauphine = "22 july 1461 became queen"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 11823, 3348, 584, 4280, 28027, 6, 3, 29220, 834, 235, 834, 346, 834, 26, 402, 22230, 15, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 113, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 2553, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 3, 29220, 834, 235, 834, 346, 834, 26, 402, 22230, 15, 3274, 96, 2884, 3, 2047, 120, 968, 4241, 1632, 14915, 121, 1, -100, -100, -100, -100, -100, -100, -100,...
What is the line of Mangalore station?
CREATE TABLE table_name_54 ( line VARCHAR, name VARCHAR )
SELECT line FROM table_name_54 WHERE name = "mangalore"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 689, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 689, 13, 26005, 322, 15, 2478, 58, 1, 0, 0, 0, 0...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 689, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 564, 3274, 96, 348, 6191, 127, 15, 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 power that belongs to Class A with an Identifier of CBOC-FM?
CREATE TABLE table_name_90 ( power VARCHAR, class VARCHAR, identifier VARCHAR )
SELECT power FROM table_name_90 WHERE class = "a" AND identifier = "cboc-fm"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 579, 584, 4280, 28027, 6, 853, 584, 4280, 28027, 6, 3, 8826, 52, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 579, 24, 16952, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 579, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 853, 3274, 96, 9, 121, 3430, 3, 8826, 52, 3274, 96, 75, 26943, 18, 89, 51, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many weeks have a Result of t 10-10?
CREATE TABLE table_name_78 ( week VARCHAR, result VARCHAR )
SELECT COUNT(week) FROM table_name_78 WHERE result = "t 10-10"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 471, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 1274, 43, 3, 9, 3, 20119, 13, 3, 17, 335, 4536, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 8041, 61, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 741, 3274, 96, 17, 335, 4536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the date of the game in which the home team was the Grizzlies and the visiting team was the Timberwolves?
CREATE TABLE table_name_7 ( date VARCHAR, home VARCHAR, visitor VARCHAR )
SELECT date FROM table_name_7 WHERE home = "grizzlies" AND visitor = "timberwolves"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 833, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 833, 13, 8, 467, 16, 84,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 234, 3274, 96, 3496, 5271, 4664, 121, 3430, 7019, 3274, 96, 2998, 1152, 29219, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what's the district with result being re-elected and candidates being clarence f. lea (d) unopposed
CREATE TABLE table_1342233_6 (district VARCHAR, result VARCHAR, candidates VARCHAR)
SELECT district FROM table_1342233_6 WHERE result = "Re-elected" AND candidates = "Clarence F. Lea (D) Unopposed"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2368, 4165, 20879, 834, 948, 41, 26, 23, 20066, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 4341, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 125, 31, 7, 8, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3939, 21680, 953, 834, 2368, 4165, 20879, 834, 948, 549, 17444, 427, 741, 3274, 96, 1649, 18, 19971, 121, 3430, 4341, 3274, 96, 254, 40, 291, 1433, 377, 5, 312, 9, 41, 308, 61, 597, 28236, 3843, 121, 1, -100, -100...
Name the least pick number for steven turner
CREATE TABLE table_25017530_5 ( pick__number INTEGER, player VARCHAR )
SELECT MIN(pick__number) FROM table_25017530_5 WHERE player = "Steven Turner"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 11434, 2517, 26918, 834, 755, 41, 1432, 834, 834, 5525, 1152, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 709, 1432, 381, 21, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 17967, 834, 834, 5525, 1152, 61, 21680, 953, 834, 11434, 2517, 26918, 834, 755, 549, 17444, 427, 1959, 3274, 96, 14337, 1926, 19553, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
what year is 4:00 long
CREATE TABLE table_name_16 ( year VARCHAR, length VARCHAR )
SELECT COUNT(year) FROM table_name_16 WHERE length = "4:00"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 215, 584, 4280, 28027, 6, 2475, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 125, 215, 19, 29415, 307, 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, 2847, 17161, 599, 1201, 61, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 2475, 3274, 96, 591, 10, 1206, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
how many points did nobuatsu aoki earn ?
CREATE TABLE table_203_244 ( id number, "pos" text, "rider" text, "manufacturer" text, "time/retired" text, "points" number )
SELECT "points" FROM table_203_244 WHERE "rider" = 'nobuatsu aoki'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 23330, 834, 357, 3628, 41, 3, 23, 26, 381, 6, 96, 2748, 121, 1499, 6, 96, 4055, 49, 121, 1499, 6, 96, 348, 76, 8717, 450, 49, 121, 1499, 6, 96, 715, 87, 10682, 1271, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2700, 7, 121, 21680, 953, 834, 23330, 834, 357, 3628, 549, 17444, 427, 96, 4055, 49, 121, 3274, 3, 31, 29, 32, 3007, 23766, 3, 9, 1825, 23, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who has a constituency of 84?
CREATE TABLE table_63396 ( "Constituency number" text, "Name" text, "Reserved for ( SC / ST /None)" text, "District" text, "Number of electorates (2009)" real )
SELECT "Name" FROM table_63396 WHERE "Constituency number" = '84'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3891, 519, 4314, 41, 96, 4302, 2248, 17, 76, 4392, 381, 121, 1499, 6, 96, 23954, 121, 1499, 6, 96, 1649, 3473, 15, 26, 21, 41, 6508, 3, 87, 5097, 3, 87, 567, 782, 61, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 96, 23954, 121, 21680, 953, 834, 3891, 519, 4314, 549, 17444, 427, 96, 4302, 2248, 17, 76, 4392, 381, 121, 3274, 3, 31, 4608, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the date of the record of 43-28?
CREATE TABLE table_name_69 (date VARCHAR, record VARCHAR)
SELECT date FROM table_name_69 WHERE record = "43-28"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 5522, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 47, 8, 833, 13, 8, 1368, 13, 8838, 18, 2577, 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, 833, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 1368, 3274, 96, 4906, 18, 2577, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of job_id and commission_pct in a bar chart, I want to show in descending by the x axis.
CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_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 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 regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) )
SELECT JOB_ID, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY JOB_ID DESC
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 613, 834, 10193, 10972, 41, 262, 5244, 5017, 476, 5080, 834, 4309, 7908, 1982, 599, 11071, 632, 201, 5097, 8241, 834, 308, 6048, 833, 6, 3, 14920, 834, 308, 6048, 833, 6, 446, 10539, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 446, 10539, 834, 4309, 6, 3, 6657, 329, 16994, 9215, 834, 4051, 382, 21680, 1652, 549, 17444, 427, 4486, 3396, 19846, 11810, 834, 4309, 3388, 41, 23143, 14196, 3396, 19846, 11810, 834, 4309, 21680, 10521, 549, 17444, 42...
What is the number of matches played for the team with 0 draws and 33 points?
CREATE TABLE table_name_49 ( played VARCHAR, drawn VARCHAR, points VARCHAR )
SELECT played FROM table_name_49 WHERE drawn = "0" AND points = "33"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 1944, 584, 4280, 28027, 6, 6796, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 381, 13, 6407, 1944, 21,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1944, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 6796, 3274, 96, 632, 121, 3430, 979, 3274, 96, 4201, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What regular season result had an average attendance bigger than 3,170?
CREATE TABLE table_name_67 (reg_season VARCHAR, avg_attendance INTEGER)
SELECT reg_season FROM table_name_67 WHERE avg_attendance > 3 OFFSET 170
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 60, 122, 834, 9476, 584, 4280, 28027, 6, 3, 9, 208, 122, 834, 15116, 663, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 363, 1646, 774, 741, 141,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5925, 834, 9476, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 3, 9, 208, 122, 834, 15116, 663, 2490, 220, 3, 15316, 20788, 209, 2518, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the date of the game later than week 13 and 41,862 people attended?
CREATE TABLE table_33425 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Stadium" text, "Record" text, "Box scores" text, "Attendance" text )
SELECT "Date" FROM table_33425 WHERE "Week" > '13' AND "Attendance" = '41,862'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 519, 3710, 1828, 41, 96, 518, 10266, 121, 490, 6, 96, 308, 342, 121, 1499, 6, 96, 667, 102, 9977, 121, 1499, 6, 96, 20119, 121, 1499, 6, 96, 134, 17, 9, 12925, 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, 308, 342, 121, 21680, 953, 834, 519, 3710, 1828, 549, 17444, 427, 96, 518, 10266, 121, 2490, 3, 31, 2368, 31, 3430, 96, 188, 17, 324, 26, 663, 121, 3274, 3, 31, 4853, 6, 3840, 357, 31, 1, -100, -100, -100, ...
Who were the opponents in the Rome championship?
CREATE TABLE table_24901152_4 (opponents VARCHAR, championship VARCHAR)
SELECT opponents FROM table_24901152_4 WHERE championship = "Rome"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 2394, 15660, 357, 834, 591, 41, 32, 102, 9977, 7, 584, 4280, 28027, 6, 10183, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 2645, 130, 8, 16383, 16, 8, 7332, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 16383, 21680, 953, 834, 2266, 2394, 15660, 357, 834, 591, 549, 17444, 427, 10183, 3274, 96, 448, 7159, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Round has an Overall smaller than 6?
CREATE TABLE table_name_84 (round INTEGER, overall INTEGER)
SELECT MAX(round) FROM table_name_84 WHERE overall < 6
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 7775, 3, 21342, 17966, 6, 1879, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 4073, 9609, 65, 46, 9126, 2755, 145, 431, 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, 4800, 4, 599, 7775, 61, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 1879, 3, 2, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the average and minimum age of captains in different class?
CREATE TABLE captain (CLASS VARCHAR, age INTEGER)
SELECT AVG(age), MIN(age), CLASS FROM captain GROUP BY CLASS
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14268, 41, 31598, 584, 4280, 28027, 6, 1246, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 363, 33, 8, 1348, 11, 2559, 1246, 13, 14268, 7, 16, 315, 853, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 545, 201, 3, 17684, 599, 545, 201, 3, 31598, 21680, 14268, 350, 4630, 6880, 272, 476, 3, 31598, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total number of Tonnage, when Date is "25 June 1943"?
CREATE TABLE table_name_4 (tonnage VARCHAR, date VARCHAR)
SELECT COUNT(tonnage) FROM table_name_4 WHERE date = "25 june 1943"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 17, 106, 9761, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 792, 381, 13, 8475, 9761, 6, 116, 7678, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 17, 106, 9761, 61, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 833, 3274, 96, 1828, 3, 6959, 15, 26436, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the highest number of silver medals for a team with total less than 1?
CREATE TABLE table_78125 ( "Rank" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
SELECT MAX("Silver") FROM table_78125 WHERE "Total" < '1'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 3940, 10124, 41, 96, 22557, 121, 1499, 6, 96, 23576, 121, 490, 6, 96, 134, 173, 624, 121, 490, 6, 96, 22780, 29, 776, 121, 490, 6, 96, 3696, 1947, 121, 490, 3, 61, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 121, 134, 173, 624, 8512, 21680, 953, 834, 3940, 10124, 549, 17444, 427, 96, 3696, 1947, 121, 3, 2, 3, 31, 536, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the team when the time is 1:11.19.89?
CREATE TABLE table_name_36 (team VARCHAR, time VARCHAR)
SELECT team FROM table_name_36 WHERE time = "1:11.19.89"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 11650, 584, 4280, 28027, 6, 97, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 372, 116, 8, 97, 19, 19520, 11039, 8797, 3914, 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, 372, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 97, 3274, 96, 536, 10, 10032, 2294, 5, 3914, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is admission type of subject name ida cook?
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT demographic.admission_type FROM demographic WHERE demographic.name = "Ida Cook"
[ 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, 9, 26, 5451, 834, 6137, 21680, 14798, 549, 17444, 427, 14798, 5, 4350, 3274, 96, 196, 26, 9, 6176, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which nationality has rank 4?
CREATE TABLE table_name_90 ( nationality VARCHAR, rank VARCHAR )
SELECT nationality FROM table_name_90 WHERE rank = 4
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 1157, 485, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 4073, 1157, 485, 65, 11003, 314, 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, 1157, 485, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 11003, 3274, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
tell me the route of administration and drug code for calcium acetate.
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT prescriptions.formulary_drug_cd, prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Calcium Acetate"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 7744, 7, 5, 20128, 63, 834, 26, 13534, 834, 75, 26, 6, 7744, 7, 5, 20300, 21680, 7744, 7, 549, 17444, 427, 7744, 7, 5, 26, 13534, 3274, 96, 14318, 75, 2552, 71, 22309, 121, 1, -100, -100, -100, -100, -100, -100,...
What Circuit has a Date of 25 july?
CREATE TABLE table_name_55 ( circuit VARCHAR, date VARCHAR )
SELECT circuit FROM table_name_55 WHERE date = "25 july"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3769, 41, 4558, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 17007, 65, 3, 9, 7678, 13, 944, 3, 2047, 120, 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, 4558, 21680, 953, 834, 4350, 834, 3769, 549, 17444, 427, 833, 3274, 96, 1828, 3, 2047, 120, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
When was the game that had 58,025 people in attendance?
CREATE TABLE table_name_26 (date VARCHAR, attendance VARCHAR)
SELECT date FROM table_name_26 WHERE attendance = "58,025"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 5522, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 366, 47, 8, 467, 24, 141, 3, 3449, 6, 632, 1828, 151, 16, 11364,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 11364, 3274, 96, 3449, 6, 4305, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What Country's Content is TV Locale?
CREATE TABLE table_name_9 ( country VARCHAR, content VARCHAR )
SELECT country FROM table_name_9 WHERE content = "tv locale"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 684, 584, 4280, 28027, 6, 738, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 363, 6993, 31, 7, 7185, 19, 1424, 4593, 15, 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, 684, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 738, 3274, 96, 17, 208, 8522, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Find all the songs that do not have a lead vocal.
CREATE TABLE albums ( aid number, title text, year number, label text, type text ) CREATE TABLE performance ( songid number, bandmate number, stageposition text ) CREATE TABLE tracklists ( albumid number, position number, songid number ) CREATE TABLE songs ( songid number, title text ) CREATE TABLE instruments ( songid number, bandmateid number, instrument text ) CREATE TABLE band ( id number, firstname text, lastname text ) CREATE TABLE vocals ( songid number, bandmate number, type text )
SELECT DISTINCT title FROM vocals AS t1 JOIN songs AS t2 ON t1.songid = t2.songid EXCEPT SELECT t2.title FROM vocals AS t1 JOIN songs AS t2 ON t1.songid = t2.songid WHERE type = "lead"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14234, 41, 3052, 381, 6, 2233, 1499, 6, 215, 381, 6, 3783, 1499, 6, 686, 1499, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 821, 41, 2324, 23, 26, 381, 6, 1928, 5058...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 15438, 25424, 6227, 2233, 21680, 6721, 7, 6157, 3, 17, 536, 3, 15355, 3162, 3605, 6157, 3, 17, 357, 9191, 3, 17, 5411, 7, 2444, 23, 26, 3274, 3, 17, 4416, 7, 2444, 23, 26, 262, 4, 30416, 3, 23143, 14196, 3,...
When did the Cowboys score 13 points in 1966?
CREATE TABLE table_22801165_1 ( date VARCHAR, cowboys_points VARCHAR )
SELECT date FROM table_22801165_1 WHERE cowboys_points = 13
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2884, 2079, 2596, 4122, 834, 536, 41, 833, 584, 4280, 28027, 6, 9321, 7531, 7, 834, 2700, 7, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 366, 410, 8, 15477, 753...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 2884, 2079, 2596, 4122, 834, 536, 549, 17444, 427, 9321, 7531, 7, 834, 2700, 7, 3274, 1179, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
When did episode 6 first air with entrepreneur Guy Portelli?
CREATE TABLE table_80106 ( "Episode" text, "First aired" text, "Entrepreneur(s)" text, "Company or product name" text, "Money requested (\u00a3)" text, "Description of product" text, "Investing Dragon(s)" text )
SELECT "First aired" FROM table_80106 WHERE "Episode" = 'episode 6' AND "Entrepreneur(s)" = 'guy portelli'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2079, 16431, 41, 96, 427, 102, 159, 32, 221, 121, 1499, 6, 96, 25171, 3, 2378, 26, 121, 1499, 6, 96, 16924, 60, 2026, 29, 1238, 599, 7, 61, 121, 1499, 6, 96, 5890, 2837...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 25171, 3, 2378, 26, 121, 21680, 953, 834, 2079, 16431, 549, 17444, 427, 96, 427, 102, 159, 32, 221, 121, 3274, 3, 31, 15, 102, 159, 32, 221, 431, 31, 3430, 96, 16924, 60, 2026, 29, 1238, 599, 7, 61, 121, 3...
How many reviews has Niloofar written in 2015
CREATE TABLE business ( bid int, business_id varchar, name varchar, full_address varchar, city varchar, latitude varchar, longitude varchar, review_count bigint, is_open tinyint, rating float, state varchar ) CREATE TABLE neighborhood ( id int, business_id varchar, neighborhood_name varchar ) CREATE TABLE review ( rid int, business_id varchar, user_id varchar, rating float, text longtext, year int, month varchar ) CREATE TABLE user ( uid int, user_id varchar, name varchar ) CREATE TABLE category ( id int, business_id varchar, category_name varchar ) CREATE TABLE tip ( tip_id int, business_id varchar, text longtext, user_id varchar, likes int, year int, month varchar ) CREATE TABLE checkin ( cid int, business_id varchar, count int, day varchar )
SELECT COUNT(DISTINCT (review.text)) FROM review, user WHERE review.year = 2015 AND user.name = 'Niloofar' AND user.user_id = review.user_id
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 268, 41, 6894, 16, 17, 6, 268, 834, 23, 26, 3, 4331, 4059, 6, 564, 3, 4331, 4059, 6, 423, 834, 9, 26, 12039, 3, 4331, 4059, 6, 690, 3, 4331, 4059, 6, 50, 6592, 3, 4331, 4059, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 41, 60, 4576, 5, 6327, 61, 61, 21680, 1132, 6, 1139, 549, 17444, 427, 1132, 5, 1201, 3274, 1230, 3430, 1139, 5, 4350, 3274, 3, 31, 567, 173, 32, 32, 5544, 31, 3430, 1139, 5, ...
Name the hdtv when number is 378
CREATE TABLE table_1363 ( "N\u00b0" real, "Television service" text, "Country" text, "Language" text, "Content" text, "DAR" text, "HDTV" text, "PPV" text, "Package/Option" text )
SELECT "HDTV" FROM table_1363 WHERE "N\u00b0" = '378'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2368, 3891, 41, 96, 567, 2, 76, 1206, 115, 632, 121, 490, 6, 96, 382, 400, 6610, 313, 121, 1499, 6, 96, 10628, 651, 121, 1499, 6, 96, 434, 1468, 76, 545, 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, 11083, 4562, 121, 21680, 953, 834, 2368, 3891, 549, 17444, 427, 96, 567, 2, 76, 1206, 115, 632, 121, 3274, 3, 31, 519, 3940, 31, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When did svishtov , bulgaria disband?
CREATE TABLE table_242785_1 ( date_disband VARCHAR, main_legionary_base VARCHAR )
SELECT date_disband FROM table_242785_1 WHERE main_legionary_base = "Svishtov , Bulgaria"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2266, 2555, 4433, 834, 536, 41, 833, 834, 26, 159, 3348, 584, 4280, 28027, 6, 711, 834, 8492, 106, 1208, 834, 10925, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 834, 26, 159, 3348, 21680, 953, 834, 2266, 2555, 4433, 834, 536, 549, 17444, 427, 711, 834, 8492, 106, 1208, 834, 10925, 3274, 96, 134, 208, 1273, 235, 208, 3, 6, 15536, 121, 1, -100, -100, -100, -100, -100, ...
Show the names of festivals that have nominated artworks of type 'Program Talent Show'.
CREATE TABLE festival_detail ( Festival_Name VARCHAR, Festival_ID VARCHAR ) CREATE TABLE nomination ( Artwork_ID VARCHAR, Festival_ID VARCHAR ) CREATE TABLE artwork ( Artwork_ID VARCHAR, Type VARCHAR )
SELECT T3.Festival_Name FROM nomination AS T1 JOIN artwork AS T2 ON T1.Artwork_ID = T2.Artwork_ID JOIN festival_detail AS T3 ON T1.Festival_ID = T3.Festival_ID WHERE T2.Type = "Program Talent Show"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 3994, 834, 221, 5756, 41, 3397, 834, 23954, 584, 4280, 28027, 6, 3397, 834, 4309, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32102, 205, 4386, 6048, 332, 17098, 13588, 41, 1261, 1981, 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, 332, 5787, 371, 24742, 834, 23954, 21680, 13588, 6157, 332, 536, 3, 15355, 3162, 7924, 6157, 332, 357, 9191, 332, 5411, 7754, 1981, 834, 4309, 3274, 332, 4416, 7754, 1981, 834, 4309, 3, 15355, 3162, 3994, 834, 221, 57...
What is the sum of Points, when Home is "Pittsburgh", when Date is "December 21", and when Attendance is greater than 5,307?
CREATE TABLE table_name_84 (points INTEGER, attendance VARCHAR, home VARCHAR, date VARCHAR)
SELECT SUM(points) FROM table_name_84 WHERE home = "pittsburgh" AND date = "december 21" AND attendance > 5 OFFSET 307
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 2700, 7, 3, 21342, 17966, 6, 11364, 584, 4280, 28027, 6, 234, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 234, 3274, 96, 5230, 17, 7289, 107, 121, 3430, 833, 3274, 96, 221, 75, 18247, 1401, 121, 3430, 11364, 2490, 305, 3, 15316, 20788, 604, ...
Name the % for core moldova being 4.36%
CREATE TABLE table_19260_1 (_percentage VARCHAR, _percentage_core_moldova VARCHAR)
SELECT _percentage FROM table_19260_1 WHERE _percentage_core_moldova = "4.36_percentage"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2294, 18365, 834, 536, 41, 834, 883, 3728, 545, 584, 4280, 28027, 6, 3, 834, 883, 3728, 545, 834, 9022, 834, 51, 1490, 6194, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 834, 883, 3728, 545, 21680, 953, 834, 2294, 18365, 834, 536, 549, 17444, 427, 3, 834, 883, 3728, 545, 834, 9022, 834, 51, 1490, 6194, 3274, 96, 7984, 3420, 834, 883, 3728, 545, 121, 1, -100, -100, -100, -100, -...
What is the smallest total for a nation with more than 1 silver?
CREATE TABLE table_name_75 (total INTEGER, silver INTEGER)
SELECT MIN(total) FROM table_name_75 WHERE silver > 1
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 235, 1947, 3, 21342, 17966, 6, 4294, 3, 21342, 17966, 61, 3, 32102, 32103, 32101, 32103, 363, 19, 8, 3, 17924, 792, 21, 3, 9, 2982, 28, 72, 145, 209,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 235, 1947, 61, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 4294, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What year is associated with a drama desk award ceremony and a Category of outstanding featured actress in a musical?
CREATE TABLE table_name_96 (year INTEGER, award_ceremony VARCHAR, category VARCHAR)
SELECT AVG(year) FROM table_name_96 WHERE award_ceremony = "drama desk award" AND category = "outstanding featured actress in a musical"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 1201, 3, 21342, 17966, 6, 2760, 834, 2110, 15, 21208, 584, 4280, 28027, 6, 3295, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 363, 215, 19, 1968,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 71, 17217, 599, 1201, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 2760, 834, 2110, 15, 21208, 3274, 96, 26, 10819, 4808, 2760, 121, 3430, 3295, 3274, 96, 670, 11018, 4510, 15676, 16, 3, 9, 4183, 121, 1, ...
Plot date claim settled by the number of date claim settled as a line chart, and list by the X from low to high.
CREATE TABLE Customer_Policies ( Policy_ID INTEGER, Customer_ID INTEGER, Policy_Type_Code CHAR(15), Start_Date DATE, End_Date DATE ) CREATE TABLE Claims ( Claim_ID INTEGER, Policy_ID INTEGER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INTEGER, Amount_Settled INTEGER ) CREATE TABLE Customers ( Customer_ID INTEGER, Customer_Details VARCHAR(255) ) CREATE TABLE Payments ( Payment_ID INTEGER, Settlement_ID INTEGER, Payment_Method_Code VARCHAR(255), Date_Payment_Made DATE, Amount_Payment INTEGER ) CREATE TABLE Settlements ( Settlement_ID INTEGER, Claim_ID INTEGER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INTEGER, Amount_Settled INTEGER, Customer_Policy_ID INTEGER )
SELECT Date_Claim_Settled, COUNT(Date_Claim_Settled) FROM Settlements GROUP BY Date_Claim_Settled ORDER BY Date_Claim_Settled
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7327, 834, 8931, 447, 725, 41, 7587, 834, 4309, 3, 21342, 17966, 6, 7327, 834, 4309, 3, 21342, 17966, 6, 7587, 834, 25160, 834, 22737, 3, 28027, 599, 1808, 201, 3273, 834, 308, 342, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 7678, 834, 254, 521, 603, 834, 17175, 17, 1361, 6, 2847, 17161, 599, 308, 342, 834, 254, 521, 603, 834, 17175, 17, 1361, 61, 21680, 31044, 7, 350, 4630, 6880, 272, 476, 7678, 834, 254, 521, 603, 834, 17175, 17, 13...
Name the total number for mens single for 2002/2003
CREATE TABLE table_12193259_1 (mens_singles VARCHAR, season VARCHAR)
SELECT COUNT(mens_singles) FROM table_12193259_1 WHERE season = "2002/2003"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 2122, 2294, 2668, 3390, 834, 536, 41, 904, 7, 834, 7, 53, 965, 584, 4280, 28027, 6, 774, 584, 4280, 28027, 61, 3, 32102, 32103, 32101, 32103, 5570, 8, 792, 381, 21, 1076, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 904, 7, 834, 7, 53, 965, 61, 21680, 953, 834, 2122, 2294, 2668, 3390, 834, 536, 549, 17444, 427, 774, 3274, 96, 24898, 87, 23948, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
provide the number of black/haitian patients who had bone marrow biopsy.
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND procedures.short_title = "Bone marrow biopsy"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7690, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 2118, 23, 26, 1499, 6, 5059, 715, 1499, 6, 5692, 1499, 6, 701, 834, 15129, 1499, 6, 3783, 1499, 6, 5798, 1499...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
What is the average Black, when White is less than 6,02, and when Total is greater than 100,00?
CREATE TABLE table_7000 ( "Category" text, "Frequency" text, "White" real, "Brown" real, "Black" real, "Amerindian" real, "Yellow" real, "Total" real )
SELECT AVG("Black") FROM table_7000 WHERE "White" < '6,02' AND "Total" > '100,00'
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 27133, 41, 96, 18610, 6066, 651, 121, 1499, 6, 96, 371, 60, 835, 11298, 121, 1499, 6, 96, 25571, 121, 490, 6, 96, 279, 3623, 29, 121, 490, 6, 96, 20096, 121, 490, 6, 96...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 121, 20096, 8512, 21680, 953, 834, 27133, 549, 17444, 427, 96, 25571, 121, 3, 2, 3, 31, 11071, 4305, 31, 3430, 96, 3696, 1947, 121, 2490, 3, 31, 1714, 27229, 31, 1, -100, -100, -100, -100, -100, -1...
How many 5+/inns have tyron henderson as the player, with wickets less than 21?
CREATE TABLE table_name_40 ( _inns VARCHAR, player VARCHAR, wickets VARCHAR )
SELECT COUNT(5) + _inns FROM table_name_40 WHERE player = "tyron henderson" AND wickets < 21
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 3, 834, 77, 29, 7, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 6, 29719, 7, 584, 4280, 28027, 3, 61, 3, 32102, 32103, 32101, 32103, 571, 186, 305, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15757, 1768, 3, 834, 77, 29, 7, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 1959, 3274, 96, 17, 63, 52, 106, 3, 107, 3868, 739, 121, 3430, 29719, 7, 3, 2, 1401, 1, -100, -100, -100, -100, -10...
provide the number of patients whose age is less than 81 and procedure long title is insertion of endotracheal tube?
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "81" AND procedures.long_title = "Insertion of endotracheal tube"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 14798, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 564, 1499, 6, 2774, 1947, 834, 8547, 302, 1499, 6, 1246, 1499, 6, 103, 115, 1499, 6, 7285, 1499, 6, 1612, 14...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 4293, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 4293, 5, 8399, 51, 834, 23, 26, 549, 17444,...
tell me the number of widow patients for whom total cholesterol lab test was ordered.
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "WIDOWED" AND lab.label = "Cholesterol, Total"
[ 32100, 32103, 32102, 205, 4386, 6048, 332, 17098, 7744, 7, 41, 1426, 834, 23, 26, 1499, 6, 141, 51, 834, 23, 26, 1499, 6, 3, 23, 1071, 21545, 834, 23, 26, 1499, 6, 2672, 834, 6137, 1499, 6, 2672, 1499, 6, 5403, 651, 834, 26, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 15438, 25424, 6227, 14798, 5, 7304, 11827, 834, 23, 26, 61, 21680, 14798, 3388, 18206, 3, 15355, 3162, 7690, 9191, 14798, 5, 8399, 51, 834, 23, 26, 3274, 7690, 5, 8399, 51, 834, 23, 26, 549, 17444,...