VMTLSH/text-to-sql-processed-v2 · Datasets at Hugging Face

instruction stringlengths 0 1.06k	input stringlengths 33 7.14k	response stringlengths 2 4.44k	source stringclasses 25 values	prompt listlengths 1 1	input_ids listlengths 1 1	label_ids listlengths 1 1
tell me patient 027-25994's maximum respiration on the last intensive care unit visit?	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...	SELECT MAX(vitalperiodic.respiration) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-25994') AND NOT patient.unitdischargetime IS N...	eicu	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Label for the Covered Song named ' sign o' the times ' by prince .?	CREATE TABLE table_41309 ( "Album" text, "Release date" text, "Label" text, "Format" text, "Covered Song" text, "Original Song" text )	SELECT "Label" FROM table_41309 WHERE "Covered Song" = ' sign o'' the times " by prince .'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Team #2 has a 1st leg of 70 - 44?	CREATE TABLE table_42161 ( "Team #1" text, "Agg." text, "Team #2" text, "1st leg" text, "2nd leg" text )	SELECT "Team #2" FROM table_42161 WHERE "1st leg" = '70 - 44'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the software with the latest stable date of 0.6.1	CREATE TABLE table_55886 ( "Software" text, "Latest stable date (version)" text, "Cost ( USD )" text, "Open source" text, "License" text )	SELECT "Software" FROM table_55886 WHERE "Latest stable date (version)" = '0.6.1'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many picks did Mike Zaher have?	CREATE TABLE table_5199 ( "Pick #" real, "MLS Team" text, "Player" text, "Position" text, "Affiliation" text )	SELECT SUM("Pick #") FROM table_5199 WHERE "Player" = 'mike zaher'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many patients whose admission type is emergency and diagnoses long title is accidental fall on or from other stairs or steps?	CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND diagnoses.long_title = "Accidental fall on or from other stairs or steps"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
when was the last time that patient 022-31513 had the urine output since 03/14/2101?	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 vitalperiodi...	SELECT intakeoutput.intakeoutputtime FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-31513')) AND intakeoutput.cellpath LIKE '%output%...	eicu	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many FA cup goals have Jimmy Nicholson as the name, and league cup goals greater than 0?	CREATE TABLE table_name_41 ( fa_cup_goals VARCHAR, name VARCHAR, league_cup_goals VARCHAR )	SELECT COUNT(fa_cup_goals) FROM table_name_41 WHERE name = "jimmy nicholson" AND league_cup_goals > 0	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What programs were held in charleston, illinois?	CREATE TABLE table_16275828_4 ( program VARCHAR, location VARCHAR )	SELECT program FROM table_16275828_4 WHERE location = "Charleston, Illinois"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What capital's county had a population of 730129 as of 2009?	CREATE TABLE table_20668 ( "Code" real, "County" text, "Former Province" text, "Area (km 2 )" text, "Population Census 2009" real, "Capital" text )	SELECT "Capital" FROM table_20668 WHERE "Population Census 2009" = '730129'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
A round of 4 is in what position?	CREATE TABLE table_name_38 ( position VARCHAR, round VARCHAR )	SELECT position FROM table_name_38 WHERE round = 4	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the largest week with the Atlanta Falcons as the opponent?	CREATE TABLE table_name_90 ( week INTEGER, opponent VARCHAR )	SELECT MAX(week) FROM table_name_90 WHERE opponent = "atlanta falcons"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
The event rip curl pro mademoiselle is in which location?	CREATE TABLE table_name_55 ( location VARCHAR, event VARCHAR )	SELECT location FROM table_name_55 WHERE event = "rip curl pro mademoiselle"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the crowd size for the Home team of melbourne?	CREATE TABLE table_38753 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Ground" text, "Crowd" real, "Date" text, "Report" text )	SELECT COUNT("Crowd") FROM table_38753 WHERE "Home team" = 'melbourne'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the title of the episode with production code 10018?	CREATE TABLE table_22973 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" real, "U.S. viewers (millions)" text )	SELECT "Title" FROM table_22973 WHERE "Production code" = '10018'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is maximum age of patients whose marital status is divorced and admission type is emergency?	CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( ...	SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.admission_type = "EMERGENCY"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the popultion density being manthai west	CREATE TABLE table_26974 ( "DS Division" text, "Main Town" text, "GN Divisions" real, "Area (km 2 )" real, "Sri Lankan Tamil" real, "Sri Lankan Moors" real, "Sinhalese" real, "Indian Tamil" real, "Other" real, "Total" real, "Population Density (/km 2 )" real )	SELECT "Population Density (/km 2 )" FROM table_26974 WHERE "DS Division" = 'Manthai West'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total number of Years when the LLWS is 4th place, and when the City is Westport?	CREATE TABLE table_70445 ( "Year" real, "Champion" text, "City" text, "LLWS" text, "Record" text )	SELECT COUNT("Year") FROM table_70445 WHERE "LLWS" = '4th place' AND "City" = 'westport'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is RJCM's IATA?	CREATE TABLE table_name_76 ( iata VARCHAR, icao VARCHAR )	SELECT iata FROM table_name_76 WHERE icao = "rjcm"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the language score when the reading score was 94.47?	CREATE TABLE table_2534578_1 ( language VARCHAR, reading VARCHAR )	SELECT language FROM table_2534578_1 WHERE reading = "94.47"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average number of attendees for performances?	CREATE TABLE performance ( performance_id number, date text, host text, location text, attendance number ) CREATE TABLE member_attendance ( member_id number, performance_id number, num_of_pieces number ) CREATE TABLE member ( member_id text, name text, nationality text, ...	SELECT AVG(attendance) FROM performance	spider	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Purpose of the Callsign with a Freq currently of 4rph?	CREATE TABLE table_50346 ( "Callsign" text, "Area served" text, "Band" text, "Freq currently" text, "Purpose" text )	SELECT "Purpose" FROM table_50346 WHERE "Freq currently" = '4rph'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many games were against Furman?	CREATE TABLE table_23872 ( "Game" real, "Date" text, "Opponent" text, "Result" text, "Tar Heels points" real, "Opponents" real, "Record" text )	SELECT MAX("Game") FROM table_23872 WHERE "Opponent" = 'Furman'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What were the investment earnings in a year when total revenue was $21,779,618?	CREATE TABLE table_51367 ( "Year" real, "Property Taxes" text, "Investment Earnings" text, "Other Local Sources" text, "State & Federal" text, "Total Revenue" text )	SELECT "Investment Earnings" FROM table_51367 WHERE "Total Revenue" = '21,779,618'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the jockey for the winning horse Helioptic?	CREATE TABLE table_name_41 ( jockey VARCHAR, winner VARCHAR )	SELECT jockey FROM table_name_41 WHERE winner = "helioptic"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Tell me the director nominated for best actor in a leading role	CREATE TABLE table_name_73 ( director VARCHAR, nomination VARCHAR )	SELECT director FROM table_name_73 WHERE nomination = "best actor in a leading role"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the 2004 value with 2r in 1994?	CREATE TABLE table_name_60 ( Id VARCHAR )	SELECT 2004 FROM table_name_60 WHERE 1994 = "2r"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the drawn amount for teams with points of 12 and played smaller than 10?	CREATE TABLE table_name_13 ( drawn INTEGER, points VARCHAR, played VARCHAR )	SELECT AVG(drawn) FROM table_name_13 WHERE points = 12 AND played < 10	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many weeks had the Green Bay packers as opponents?	CREATE TABLE table_42201 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" text )	SELECT SUM("Week") FROM table_42201 WHERE "Opponent" = 'green bay packers'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many Foreign-born (1000) are from Sweden and born in some other EU state (1000) larger than 477?	CREATE TABLE table_name_7 ( total_foreign_born__1000_ INTEGER, country VARCHAR, born_in_other_eu_state__1000_ VARCHAR )	SELECT SUM(total_foreign_born__1000_) FROM table_name_7 WHERE country = "sweden" AND born_in_other_eu_state__1000_ > 477	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Bar chart x axis sex y axis how many sex, and order in desc by the how many sex.	CREATE TABLE candidate ( Candidate_ID int, People_ID int, Poll_Source text, Date text, Support_rate real, Consider_rate real, Oppose_rate real, Unsure_rate real ) CREATE TABLE people ( People_ID int, Sex text, Name text, Date_of_Birth text, Height real, Weight re...	SELECT Sex, COUNT(Sex) FROM people GROUP BY Sex ORDER BY COUNT(Sex) DESC	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many hours had it been since patient 006-47576 received her first potassium chloride 20 meq in 50 ml ivpb **locked dose prescription on their current hospital encounter?	CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeri...	SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', medication.drugstarttime)) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-47...	eicu	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Unselfish - Those who answer and never ask.. Query of users who answer but never asked a question. Sorted by number of answers for a user.	CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId...	SELECT COUNT(u.DisplayName) FROM Users AS u WHERE (SELECT COUNT() FROM Posts WHERE OwnerUserId = u.Id AND PostTypeId = 2) = 0 AND (SELECT COUNT() FROM Posts WHERE OwnerUserId = u.Id AND PostTypeId = 1) != 0	sede	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who has the high assists when the team is Oklahoma City?	CREATE TABLE table_23285805_8 ( high_assists VARCHAR, team VARCHAR )	SELECT high_assists FROM table_23285805_8 WHERE team = "Oklahoma City"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What language for the glam genre?	CREATE TABLE table_19170 ( "Song title" text, "Artist" text, "Language" text, "Decade" text, "Genre" text, "Exportable" text, "Family Friendly" text )	SELECT "Language" FROM table_19170 WHERE "Genre" = 'Glam'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
find out the procedure icd9 code and drug name of patient with patient id 10317.	CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( ...	SELECT procedures.icd9_code, prescriptions.drug FROM procedures INNER JOIN prescriptions ON procedures.hadm_id = prescriptions.hadm_id WHERE procedures.subject_id = "10317"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
rosen modified hachinski ischemic score less than or equal to 4	CREATE TABLE table_train_91 ( "id" int, "mini_mental_state_examination_mmse" int, "stroke" bool, "rosen_modified_hachinski_ischemic_score" int, "NOUSE" float )	SELECT * FROM table_train_91 WHERE rosen_modified_hachinski_ischemic_score <= 4	criteria2sql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the highest number of interceptions?	CREATE TABLE table_22985 ( "Name" text, "Completions" real, "Attempts" real, "Completion %" text, "Yards" real, "Touchdowns" real, "Interceptions" real, "QB Rating" text )	SELECT MAX("Interceptions") FROM table_22985	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Asked Questions per month for a given Tag.	CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDat...	SELECT t.TagName, YEAR(p.CreationDate), MONTH(p.CreationDate), COUNT(t.TagName) AS d FROM Tags AS t INNER JOIN PostTags AS pt ON t.Id = pt.TagId INNER JOIN Posts AS P ON p.Id = pt.PostId WHERE t.TagName = '##TagNam##' AND NOT p.ClosedDate IS NULL GROUP BY YEAR(p.CreationDate), MONTH(p.CreationDate), t.TagName ORDER BY ...	sede	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which venue has a Goal of 4?	CREATE TABLE table_name_62 ( venue VARCHAR, goal VARCHAR )	SELECT venue FROM table_name_62 WHERE goal = 4	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
count the number of patients whose primary disease is s/p fall and year of birth is less than 2085?	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,...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "S/P FALL" AND demographic.dob_year < "2085"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average score for the player who is T5 in the United States?	CREATE TABLE table_76810 ( "Place" text, "Player" text, "Country" text, "Score" real, "To par" text )	SELECT AVG("Score") FROM table_76810 WHERE "Place" = 't5' AND "Country" = 'united states'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest rank with poland as the nationality and a time greater than 55.34?	CREATE TABLE table_15703 ( "Rank" real, "Lane" real, "Name" text, "Nationality" text, "Time" real )	SELECT MIN("Rank") FROM table_15703 WHERE "Nationality" = 'poland' AND "Time" > '55.34'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's Kaia Kanepi's Sd?	CREATE TABLE table_3814 ( "Sd" real, "Rk" real, "Player" text, "Points" real, "Points defending" text, "Points won" real, "New points" real, "Status" text )	SELECT MIN("Sd") FROM table_3814 WHERE "Player" = 'Kaia Kanepi'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many patients whose ethnicity is black/haitian and drug route is sc?	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, ...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND prescriptions.route = "SC"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the description of the marketing region China?	CREATE TABLE addresses ( address_id text, line_1 text, line_2 text, city_town text, state_county text, other_details text ) CREATE TABLE performers_in_bookings ( order_id number, performer_id number ) CREATE TABLE bookings ( booking_id number, customer_id number, workshop_g...	SELECT marketing_region_descriptrion FROM marketing_regions WHERE marketing_region_name = "China"	spider	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Give me the comparison about the amount of ACC_Road over the ACC_Road , and group by attribute ACC_Road, display x-axis in desc order.	CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Percent text, ACC_Home text, ACC_Road text, All_Games text, All_Games_Percent int, All_Home text, All_Road text, All_Neutral text ) CREATE TABLE university ( Scho...	SELECT ACC_Road, COUNT(ACC_Road) FROM basketball_match GROUP BY ACC_Road ORDER BY ACC_Road DESC	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Plot salary by grouped by email as a bar graph	CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END...	SELECT EMAIL, SALARY FROM employees	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
get me the number of female patients who left against medical advice.	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,...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which game took place April 6?	CREATE TABLE table_6061 ( "Game" real, "April" real, "Opponent" text, "Score" text, "Record" text )	SELECT "Game" FROM table_6061 WHERE "April" = '6'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
when did patient 027-106613 first take a tv lab test in 04/2103?	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 vitalperiodi...	SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-106613')) AND lab.labname = 'tv' AND STRFTIME('%y-%m', lab.labresulttime) = '21...	eicu	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which team played their first leg at home with an aggregate score of 3-4?	CREATE TABLE table_name_70 ( home__1st_leg_ VARCHAR, aggregate VARCHAR )	SELECT home__1st_leg_ FROM table_name_70 WHERE aggregate = "3-4"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When 129 is the number in the series who is the writer?	CREATE TABLE table_25525 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text )	SELECT "Written by" FROM table_25525 WHERE "No. in series" = '129'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Category of the Rodez, France Tournament?	CREATE TABLE table_name_69 ( category VARCHAR, tournament VARCHAR )	SELECT category FROM table_name_69 WHERE tournament = "rodez, france"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which episode had celebrities Nick Hewer and Saira Khan in them?	CREATE TABLE table_24725951_1 ( episode VARCHAR, celebrities VARCHAR )	SELECT episode FROM table_24725951_1 WHERE celebrities = "Nick Hewer and Saira Khan"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For those employees who did not have any job in the past, give me the comparison about the sum of salary over the hire_date bin hire_date by time, could you sort by the Y in desc?	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) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,...	SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(SALARY) DESC	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
provide the number of patients whose diagnoses short title is trnspl status-bne marrow and drug route is im?	CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, ...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Trnspl status-bne marrow" AND prescriptions.route = "IM"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the rating when the rank (timeslot) is less than 3 and the rank (night) is less than 8?	CREATE TABLE table_name_92 ( rating INTEGER, rank__timeslot_ VARCHAR, rank__night_ VARCHAR )	SELECT SUM(rating) FROM table_name_92 WHERE rank__timeslot_ < 3 AND rank__night_ < 8	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
provide the number of patients whose admission year is less than 2139 and lab test name is bilirubin, indirect?	CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) ...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2139" AND lab.label = "Bilirubin, Indirect"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total points that an 1951 Entrant alfa romeo spa have?	CREATE TABLE table_name_70 ( points INTEGER, entrant VARCHAR, year VARCHAR )	SELECT SUM(points) FROM table_name_70 WHERE entrant = "alfa romeo spa" AND year < 1951	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Find the names of users who did not leave any review.	CREATE TABLE review ( name VARCHAR, u_id VARCHAR ) CREATE TABLE useracct ( name VARCHAR, u_id VARCHAR )	SELECT name FROM useracct WHERE NOT u_id IN (SELECT u_id FROM review)	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total number of goals scored of the club with more than 3 draws, more than 1 loses, and less than 26 points?	CREATE TABLE table_name_15 ( goals_scored VARCHAR, points VARCHAR, draws VARCHAR, loses VARCHAR )	SELECT COUNT(goals_scored) FROM table_name_15 WHERE draws > 3 AND loses > 1 AND points < 26	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the title for us viewers being 18.29	CREATE TABLE table_23032 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "U.S. viewers (millions)" text )	SELECT "Title" FROM table_23032 WHERE "U.S. viewers (millions)" = '18.29'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What 2006 has 0-0 as the 2011?	CREATE TABLE table_name_29 ( Id VARCHAR )	SELECT 2006 FROM table_name_29 WHERE 2011 = "0-0"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Competition has a Score of 0-1, and Opponents of pkns fc?	CREATE TABLE table_name_33 ( competition VARCHAR, score VARCHAR, opponents VARCHAR )	SELECT competition FROM table_name_33 WHERE score = "0-1" AND opponents = "pkns fc"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the smallest number of extra points for a left halfback?	CREATE TABLE table_25517718_3 ( extra_points INTEGER, position VARCHAR )	SELECT MIN(extra_points) FROM table_25517718_3 WHERE position = "Left halfback"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What venue featured north melbourne as the away side?	CREATE TABLE table_name_27 ( venue VARCHAR, away_team VARCHAR )	SELECT venue FROM table_name_27 WHERE away_team = "north melbourne"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the highest selection number for the saskatchewan roughriders team?	CREATE TABLE table_16400 ( "Pick #" real, "CFL Team" text, "Player" text, "Position" text, "College" text )	SELECT MAX("Pick #") FROM table_16400 WHERE "CFL Team" = 'Saskatchewan Roughriders'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Was the release on April 8 available on Windows?	CREATE TABLE table_18012 ( "Release" text, "Title" text, "Windows" text, "5th Gen" text, "6th Gen" text, "Handheld" text )	SELECT "Windows" FROM table_18012 WHERE "Release" = 'April 8'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
List each donator name and the amount of endowment in descending order of the amount of endowment.	CREATE TABLE endowment ( donator_name VARCHAR, amount INTEGER )	SELECT donator_name, SUM(amount) FROM endowment GROUP BY donator_name ORDER BY SUM(amount) DESC	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
this year what were the four most common lab tests?	CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE diagnosis ( diagnosisid number...	SELECT t1.labname FROM (SELECT lab.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM lab WHERE DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY lab.labname) AS t1 WHERE t1.c1 <= 4	eicu	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who is the crew chief of team Chip Ganassi Racing with Felix Sabates, which has Casey Mears as the driver?	CREATE TABLE table_name_10 ( crew_chief VARCHAR, team VARCHAR, driver_s_ VARCHAR )	SELECT crew_chief FROM table_name_10 WHERE team = "chip ganassi racing with felix sabates" AND driver_s_ = "casey mears"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Total of kyrgyzstan with a Silver smaller than 0?	CREATE TABLE table_name_97 ( total INTEGER, nation VARCHAR, silver VARCHAR )	SELECT AVG(total) FROM table_name_97 WHERE nation = "kyrgyzstan" AND silver < 0	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the minimum game	CREATE TABLE table_11964263_13 ( game INTEGER )	SELECT MIN(game) FROM table_11964263_13	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
calculate the number of patients who were admitted to hospital during this year.	CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE i...	SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE DATETIME(admissions.admittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')	mimic_iii	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the percentage of others with a Fidesz of 62% and a Jobbik of 4%?	CREATE TABLE table_name_93 ( others VARCHAR, fidesz VARCHAR, jobbik VARCHAR )	SELECT others FROM table_name_93 WHERE fidesz = "62%" AND jobbik = "4%"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes' with a bar chart, show from low to high by the X.	CREATE TABLE management ( department_ID int, head_ID int, temporary_acting text ) CREATE TABLE department ( Department_ID int, Name text, Creation text, Ranking int, Budget_in_Billions real, Num_Employees real ) CREATE TABLE head ( head_ID int, name text, born_state tex...	SELECT Name, SUM(Num_Employees) FROM department AS T1 JOIN management AS T2 ON T1.department_ID = T2.department_ID WHERE T2.temporary_acting = 'Yes' GROUP BY Name ORDER BY Name	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest number of points that Tevita Vaikona scored when making more than 23 tries?	CREATE TABLE table_51420 ( "Player" text, "Position" text, "Tries" real, "Goals" real, "Points" real )	SELECT MIN("Points") FROM table_51420 WHERE "Tries" > '23' AND "Player" = 'tevita vaikona'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the category that has the people's choice awards?	CREATE TABLE table_68026 ( "Year" real, "Result" text, "Award" text, "Category" text, "Nominated work" text )	SELECT "Category" FROM table_68026 WHERE "Award" = 'people''s choice awards'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the number of barangay for 205.4 density	CREATE TABLE table_269888_1 ( no_of_s_barangay VARCHAR, pop_density__per_km²_ VARCHAR )	SELECT no_of_s_barangay FROM table_269888_1 WHERE pop_density__per_km²_ = "205.4"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the position of the Slavia team in 1998?	CREATE TABLE table_name_10 ( position_in_1998 VARCHAR, team VARCHAR )	SELECT position_in_1998 FROM table_name_10 WHERE team = "slavia"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
when was the last time that patient 013-9305 received a procedure in the previous year?	CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wa...	SELECT treatment.treatmenttime FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '013-9305')) AND DATETIME(treatment.treatmenttime, 'start of year'...	eicu	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Partner, when Outcome is Winner, and when Date is 12 October 2003?	CREATE TABLE table_name_73 ( partner VARCHAR, outcome VARCHAR, date VARCHAR )	SELECT partner FROM table_name_73 WHERE outcome = "winner" AND date = "12 october 2003"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Tell me the city of license with frequency of Mhz of 90.3 fm	CREATE TABLE table_77613 ( "Call sign" text, "Frequency MHz" text, "City of license" text, "ERP W" real, "Class" text, "FCC info" text )	SELECT "City of license" FROM table_77613 WHERE "Frequency MHz" = '90.3 fm'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the score when Spennymoor United as the away team?	CREATE TABLE table_name_67 ( score VARCHAR, away_team VARCHAR )	SELECT score FROM table_name_67 WHERE away_team = "spennymoor united"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Please show the employee last names that serves no more than 20 customers.	CREATE TABLE playlist ( playlistid number, name text ) CREATE TABLE customer ( customerid number, firstname text, lastname text, company text, address text, city text, state text, country text, postalcode text, phone text, fax text, email text, supportrepid n...	SELECT T1.lastname FROM customer AS T1 JOIN employee AS T2 ON T1.supportrepid = T2.employeeid GROUP BY T1.supportrepid HAVING COUNT(*) <= 20	spider	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who are the villains in 'the others'?	CREATE TABLE table_25688 ( "Episode Number" text, "Title" text, "Villains" text, "Director" text, "Writer" text, "Original airdate" text )	SELECT "Villains" FROM table_25688 WHERE "Title" = 'The Others'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What team has a location and attendance at the Seattle Center Coliseum 12,591?	CREATE TABLE table_50163 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Record" text )	SELECT "Team" FROM table_50163 WHERE "Location Attendance" = 'seattle center coliseum 12,591'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the final score of the game at Texas Stadium?	CREATE TABLE table_name_26 ( final_score VARCHAR, stadium VARCHAR )	SELECT final_score FROM table_name_26 WHERE stadium = "texas stadium"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Game has a Record of 27-11-10?	CREATE TABLE table_38452 ( "Game" real, "March" real, "Opponent" text, "Score" text, "Record" text )	SELECT AVG("Game") FROM table_38452 WHERE "Record" = '27-11-10'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is every average when number of dances is 1?	CREATE TABLE table_26375386_28 ( average VARCHAR, number_of_dances VARCHAR )	SELECT average FROM table_26375386_28 WHERE number_of_dances = 1	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is admission type and death status of subject name james sloan?	CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescription...	SELECT demographic.admission_type, demographic.expire_flag FROM demographic WHERE demographic.name = "James Sloan"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In what Year was the Game on September 26?	CREATE TABLE table_46974 ( "Year" real, "Date" text, "Winner" text, "Result" text, "Loser" text, "Location" text )	SELECT SUM("Year") FROM table_46974 WHERE "Date" = 'september 26'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Comments including the word 'edited'.	CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABL...	SELECT CreationDate, Id AS "comment_link" FROM Comments WHERE LOWER(Text) LIKE '%edited%' AND CreationDate >= '2019-01-01' ORDER BY LENGTH(Text) LIMIT 1000	sede	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
count the number of inpatient hospital admission patients born before 2092.	CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND demographic.dob_year < "2092"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Potential necromancer answers for a given user: answers with questions 60 days older or more.	CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDispl...	SELECT Answers.Id AS "post_link", Answers.CreationDate AS "Answered Date", Questions.CreationDate AS "Asked Date", DATEDIFF(day, Questions.CreationDate, CreationDate) AS "Date Delta Days", Answers.Score FROM Posts AS Answers INNER JOIN Posts AS Questions ON Answers.PostTypeId = 2 AND Answers.OwnerUserId = '##UserId?895...	sede	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the sum of budgets of the Marketing and Finance departments?	CREATE TABLE prereq ( course_id text, prereq_id text ) CREATE TABLE takes ( id text, course_id text, sec_id text, semester text, year number, grade text ) CREATE TABLE teaches ( id text, course_id text, sec_id text, semester text, year number ) CREATE TABLE instruc...	SELECT SUM(budget) FROM department WHERE dept_name = 'Marketing' OR dept_name = 'Finance'	spider	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is patient 13473's last ward id until 4 years ago?	CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, d...	SELECT transfers.wardid FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13473) AND NOT transfers.wardid IS NULL AND DATETIME(transfers.intime) <= DATETIME(CURRENT_TIME(), '-4 year') ORDER BY transfers.intime DESC LIMIT 1	mimic_iii	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the location and attendance for the Orlando team?	CREATE TABLE table_17323092_6 ( location_attendance VARCHAR, team VARCHAR )	SELECT location_attendance FROM table_17323092_6 WHERE team = "Orlando"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total number of Mark, when Country is 'Russia', and when React is less than 0.165?	CREATE TABLE table_9646 ( "Lane" real, "Name" text, "Country" text, "Mark" real, "React" real )	SELECT COUNT("Mark") FROM table_9646 WHERE "Country" = 'russia' AND "React" < '0.165'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

tell me patient 027-25994's maximum respiration on the last intensive care unit visit?

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...

SELECT MAX(vitalperiodic.respiration) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-25994') AND NOT patient.unitdischargetime IS N...

eicu

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What is the Label for the Covered Song named ' sign o' the times ' by prince .?

CREATE TABLE table_41309 ( "Album" text, "Release date" text, "Label" text, "Format" text, "Covered Song" text, "Original Song" text )

SELECT "Label" FROM table_41309 WHERE "Covered Song" = ' sign o'' the times " by prince .'

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Which Team #2 has a 1st leg of 70 - 44?

CREATE TABLE table_42161 ( "Team #1" text, "Agg." text, "Team #2" text, "1st leg" text, "2nd leg" text )

SELECT "Team #2" FROM table_42161 WHERE "1st leg" = '70 - 44'

wikisql

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Name the software with the latest stable date of 0.6.1

CREATE TABLE table_55886 ( "Software" text, "Latest stable date (version)" text, "Cost ( USD )" text, "Open source" text, "License" text )

SELECT "Software" FROM table_55886 WHERE "Latest stable date (version)" = '0.6.1'

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How many picks did Mike Zaher have?

CREATE TABLE table_5199 ( "Pick #" real, "MLS Team" text, "Player" text, "Position" text, "Affiliation" text )

SELECT SUM("Pick #") FROM table_5199 WHERE "Player" = 'mike zaher'

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how many patients whose admission type is emergency and diagnoses long title is accidental fall on or from other stairs or steps?

CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND diagnoses.long_title = "Accidental fall on or from other stairs or steps"

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when was the last time that patient 022-31513 had the urine output since 03/14/2101?

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 vitalperiodi...

SELECT intakeoutput.intakeoutputtime FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-31513')) AND intakeoutput.cellpath LIKE '%output%...

eicu

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How many FA cup goals have Jimmy Nicholson as the name, and league cup goals greater than 0?

CREATE TABLE table_name_41 ( fa_cup_goals VARCHAR, name VARCHAR, league_cup_goals VARCHAR )

SELECT COUNT(fa_cup_goals) FROM table_name_41 WHERE name = "jimmy nicholson" AND league_cup_goals > 0

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What programs were held in charleston, illinois?

CREATE TABLE table_16275828_4 ( program VARCHAR, location VARCHAR )

SELECT program FROM table_16275828_4 WHERE location = "Charleston, Illinois"

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What capital's county had a population of 730129 as of 2009?

CREATE TABLE table_20668 ( "Code" real, "County" text, "Former Province" text, "Area (km 2 )" text, "Population Census 2009" real, "Capital" text )

SELECT "Capital" FROM table_20668 WHERE "Population Census 2009" = '730129'

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A round of 4 is in what position?

CREATE TABLE table_name_38 ( position VARCHAR, round VARCHAR )

SELECT position FROM table_name_38 WHERE round = 4

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What is the largest week with the Atlanta Falcons as the opponent?

CREATE TABLE table_name_90 ( week INTEGER, opponent VARCHAR )

SELECT MAX(week) FROM table_name_90 WHERE opponent = "atlanta falcons"

sql_create_context

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The event rip curl pro mademoiselle is in which location?

CREATE TABLE table_name_55 ( location VARCHAR, event VARCHAR )

SELECT location FROM table_name_55 WHERE event = "rip curl pro mademoiselle"

sql_create_context

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What was the crowd size for the Home team of melbourne?

CREATE TABLE table_38753 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Ground" text, "Crowd" real, "Date" text, "Report" text )

SELECT COUNT("Crowd") FROM table_38753 WHERE "Home team" = 'melbourne'

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What's the title of the episode with production code 10018?

CREATE TABLE table_22973 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" real, "U.S. viewers (millions)" text )

SELECT "Title" FROM table_22973 WHERE "Production code" = '10018'

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what is maximum age of patients whose marital status is divorced and admission type is emergency?

CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( ...

SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.admission_type = "EMERGENCY"

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Name the popultion density being manthai west

CREATE TABLE table_26974 ( "DS Division" text, "Main Town" text, "GN Divisions" real, "Area (km 2 )" real, "Sri Lankan Tamil" real, "Sri Lankan Moors" real, "Sinhalese" real, "Indian Tamil" real, "Other" real, "Total" real, "Population Density (/km 2 )" real )

SELECT "Population Density (/km 2 )" FROM table_26974 WHERE "DS Division" = 'Manthai West'

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What is the total number of Years when the LLWS is 4th place, and when the City is Westport?

CREATE TABLE table_70445 ( "Year" real, "Champion" text, "City" text, "LLWS" text, "Record" text )

SELECT COUNT("Year") FROM table_70445 WHERE "LLWS" = '4th place' AND "City" = 'westport'

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What is RJCM's IATA?

CREATE TABLE table_name_76 ( iata VARCHAR, icao VARCHAR )

SELECT iata FROM table_name_76 WHERE icao = "rjcm"

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What was the language score when the reading score was 94.47?

CREATE TABLE table_2534578_1 ( language VARCHAR, reading VARCHAR )

SELECT language FROM table_2534578_1 WHERE reading = "94.47"

sql_create_context

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What is the average number of attendees for performances?

CREATE TABLE performance ( performance_id number, date text, host text, location text, attendance number ) CREATE TABLE member_attendance ( member_id number, performance_id number, num_of_pieces number ) CREATE TABLE member ( member_id text, name text, nationality text, ...

SELECT AVG(attendance) FROM performance

spider

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What is the Purpose of the Callsign with a Freq currently of 4rph?

CREATE TABLE table_50346 ( "Callsign" text, "Area served" text, "Band" text, "Freq currently" text, "Purpose" text )

SELECT "Purpose" FROM table_50346 WHERE "Freq currently" = '4rph'

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How many games were against Furman?

CREATE TABLE table_23872 ( "Game" real, "Date" text, "Opponent" text, "Result" text, "Tar Heels points" real, "Opponents" real, "Record" text )

SELECT MAX("Game") FROM table_23872 WHERE "Opponent" = 'Furman'

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What were the investment earnings in a year when total revenue was $21,779,618?

CREATE TABLE table_51367 ( "Year" real, "Property Taxes" text, "Investment Earnings" text, "Other Local Sources" text, "State & Federal" text, "Total Revenue" text )

SELECT "Investment Earnings" FROM table_51367 WHERE "Total Revenue" = '21,779,618'

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Who was the jockey for the winning horse Helioptic?

CREATE TABLE table_name_41 ( jockey VARCHAR, winner VARCHAR )

SELECT jockey FROM table_name_41 WHERE winner = "helioptic"

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Tell me the director nominated for best actor in a leading role

CREATE TABLE table_name_73 ( director VARCHAR, nomination VARCHAR )

SELECT director FROM table_name_73 WHERE nomination = "best actor in a leading role"

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What is the 2004 value with 2r in 1994?

CREATE TABLE table_name_60 ( Id VARCHAR )

SELECT 2004 FROM table_name_60 WHERE 1994 = "2r"

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What was the drawn amount for teams with points of 12 and played smaller than 10?

CREATE TABLE table_name_13 ( drawn INTEGER, points VARCHAR, played VARCHAR )

SELECT AVG(drawn) FROM table_name_13 WHERE points = 12 AND played < 10

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How many weeks had the Green Bay packers as opponents?

CREATE TABLE table_42201 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" text )

SELECT SUM("Week") FROM table_42201 WHERE "Opponent" = 'green bay packers'

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How many Foreign-born (1000) are from Sweden and born in some other EU state (1000) larger than 477?

CREATE TABLE table_name_7 ( total_foreign_born__1000_ INTEGER, country VARCHAR, born_in_other_eu_state__1000_ VARCHAR )

SELECT SUM(total_foreign_born__1000_) FROM table_name_7 WHERE country = "sweden" AND born_in_other_eu_state__1000_ > 477

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Bar chart x axis sex y axis how many sex, and order in desc by the how many sex.

CREATE TABLE candidate ( Candidate_ID int, People_ID int, Poll_Source text, Date text, Support_rate real, Consider_rate real, Oppose_rate real, Unsure_rate real ) CREATE TABLE people ( People_ID int, Sex text, Name text, Date_of_Birth text, Height real, Weight re...

SELECT Sex, COUNT(Sex) FROM people GROUP BY Sex ORDER BY COUNT(Sex) DESC

nvbench

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how many hours had it been since patient 006-47576 received her first potassium chloride 20 meq in 50 ml ivpb **locked dose prescription on their current hospital encounter?

CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeri...

SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', medication.drugstarttime)) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-47...

eicu

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Unselfish - Those who answer and never ask.. Query of users who answer but never asked a question. Sorted by number of answers for a user.

CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId...

SELECT COUNT(u.DisplayName) FROM Users AS u WHERE (SELECT COUNT(*) FROM Posts WHERE OwnerUserId = u.Id AND PostTypeId = 2) = 0 AND (SELECT COUNT(*) FROM Posts WHERE OwnerUserId = u.Id AND PostTypeId = 1) != 0

sede

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Who has the high assists when the team is Oklahoma City?

CREATE TABLE table_23285805_8 ( high_assists VARCHAR, team VARCHAR )

SELECT high_assists FROM table_23285805_8 WHERE team = "Oklahoma City"

sql_create_context

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What language for the glam genre?

CREATE TABLE table_19170 ( "Song title" text, "Artist" text, "Language" text, "Decade" text, "Genre" text, "Exportable" text, "Family Friendly" text )

SELECT "Language" FROM table_19170 WHERE "Genre" = 'Glam'

wikisql

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find out the procedure icd9 code and drug name of patient with patient id 10317.

CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( ...

SELECT procedures.icd9_code, prescriptions.drug FROM procedures INNER JOIN prescriptions ON procedures.hadm_id = prescriptions.hadm_id WHERE procedures.subject_id = "10317"

mimicsql_data

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rosen modified hachinski ischemic score less than or equal to 4

CREATE TABLE table_train_91 ( "id" int, "mini_mental_state_examination_mmse" int, "stroke" bool, "rosen_modified_hachinski_ischemic_score" int, "NOUSE" float )

SELECT * FROM table_train_91 WHERE rosen_modified_hachinski_ischemic_score <= 4

criteria2sql

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What is the highest number of interceptions?

CREATE TABLE table_22985 ( "Name" text, "Completions" real, "Attempts" real, "Completion %" text, "Yards" real, "Touchdowns" real, "Interceptions" real, "QB Rating" text )

SELECT MAX("Interceptions") FROM table_22985

wikisql

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Asked Questions per month for a given Tag.

CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDat...

SELECT t.TagName, YEAR(p.CreationDate), MONTH(p.CreationDate), COUNT(t.TagName) AS d FROM Tags AS t INNER JOIN PostTags AS pt ON t.Id = pt.TagId INNER JOIN Posts AS P ON p.Id = pt.PostId WHERE t.TagName = '##TagNam##' AND NOT p.ClosedDate IS NULL GROUP BY YEAR(p.CreationDate), MONTH(p.CreationDate), t.TagName ORDER BY ...

sede

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Which venue has a Goal of 4?

CREATE TABLE table_name_62 ( venue VARCHAR, goal VARCHAR )

SELECT venue FROM table_name_62 WHERE goal = 4

sql_create_context

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count the number of patients whose primary disease is s/p fall and year of birth is less than 2085?

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,...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "S/P FALL" AND demographic.dob_year < "2085"

mimicsql_data

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What is the average score for the player who is T5 in the United States?

CREATE TABLE table_76810 ( "Place" text, "Player" text, "Country" text, "Score" real, "To par" text )

SELECT AVG("Score") FROM table_76810 WHERE "Place" = 't5' AND "Country" = 'united states'

wikisql

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What is the lowest rank with poland as the nationality and a time greater than 55.34?

CREATE TABLE table_15703 ( "Rank" real, "Lane" real, "Name" text, "Nationality" text, "Time" real )

SELECT MIN("Rank") FROM table_15703 WHERE "Nationality" = 'poland' AND "Time" > '55.34'

wikisql

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What's Kaia Kanepi's Sd?

CREATE TABLE table_3814 ( "Sd" real, "Rk" real, "Player" text, "Points" real, "Points defending" text, "Points won" real, "New points" real, "Status" text )

SELECT MIN("Sd") FROM table_3814 WHERE "Player" = 'Kaia Kanepi'

wikisql

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how many patients whose ethnicity is black/haitian and drug route is sc?

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, ...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND prescriptions.route = "SC"

mimicsql_data

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What is the description of the marketing region China?

CREATE TABLE addresses ( address_id text, line_1 text, line_2 text, city_town text, state_county text, other_details text ) CREATE TABLE performers_in_bookings ( order_id number, performer_id number ) CREATE TABLE bookings ( booking_id number, customer_id number, workshop_g...

SELECT marketing_region_descriptrion FROM marketing_regions WHERE marketing_region_name = "China"

spider

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Give me the comparison about the amount of ACC_Road over the ACC_Road , and group by attribute ACC_Road, display x-axis in desc order.

CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Percent text, ACC_Home text, ACC_Road text, All_Games text, All_Games_Percent int, All_Home text, All_Road text, All_Neutral text ) CREATE TABLE university ( Scho...

SELECT ACC_Road, COUNT(ACC_Road) FROM basketball_match GROUP BY ACC_Road ORDER BY ACC_Road DESC

nvbench

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Plot salary by grouped by email as a bar graph

CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END...

SELECT EMAIL, SALARY FROM employees

nvbench

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get me the number of female patients who left against medical advice.

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,...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI"

mimicsql_data

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Which game took place April 6?

CREATE TABLE table_6061 ( "Game" real, "April" real, "Opponent" text, "Score" text, "Record" text )

SELECT "Game" FROM table_6061 WHERE "April" = '6'

wikisql

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when did patient 027-106613 first take a tv lab test in 04/2103?

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 vitalperiodi...

SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-106613')) AND lab.labname = 'tv' AND STRFTIME('%y-%m', lab.labresulttime) = '21...

eicu

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Which team played their first leg at home with an aggregate score of 3-4?

CREATE TABLE table_name_70 ( home__1st_leg_ VARCHAR, aggregate VARCHAR )

SELECT home__1st_leg_ FROM table_name_70 WHERE aggregate = "3-4"

sql_create_context

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When 129 is the number in the series who is the writer?

CREATE TABLE table_25525 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text )

SELECT "Written by" FROM table_25525 WHERE "No. in series" = '129'

wikisql

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What is the Category of the Rodez, France Tournament?

CREATE TABLE table_name_69 ( category VARCHAR, tournament VARCHAR )

SELECT category FROM table_name_69 WHERE tournament = "rodez, france"

sql_create_context

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Which episode had celebrities Nick Hewer and Saira Khan in them?

CREATE TABLE table_24725951_1 ( episode VARCHAR, celebrities VARCHAR )

SELECT episode FROM table_24725951_1 WHERE celebrities = "Nick Hewer and Saira Khan"

sql_create_context

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For those employees who did not have any job in the past, give me the comparison about the sum of salary over the hire_date bin hire_date by time, could you sort by the Y in desc?

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) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,...

SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(SALARY) DESC

nvbench

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provide the number of patients whose diagnoses short title is trnspl status-bne marrow and drug route is im?

CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, ...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Trnspl status-bne marrow" AND prescriptions.route = "IM"

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what is the rating when the rank (timeslot) is less than 3 and the rank (night) is less than 8?

CREATE TABLE table_name_92 ( rating INTEGER, rank__timeslot_ VARCHAR, rank__night_ VARCHAR )

SELECT SUM(rating) FROM table_name_92 WHERE rank__timeslot_ < 3 AND rank__night_ < 8

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provide the number of patients whose admission year is less than 2139 and lab test name is bilirubin, indirect?

CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) ...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2139" AND lab.label = "Bilirubin, Indirect"

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What is the total points that an 1951 Entrant alfa romeo spa have?

CREATE TABLE table_name_70 ( points INTEGER, entrant VARCHAR, year VARCHAR )

SELECT SUM(points) FROM table_name_70 WHERE entrant = "alfa romeo spa" AND year < 1951

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Find the names of users who did not leave any review.

CREATE TABLE review ( name VARCHAR, u_id VARCHAR ) CREATE TABLE useracct ( name VARCHAR, u_id VARCHAR )

SELECT name FROM useracct WHERE NOT u_id IN (SELECT u_id FROM review)

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What is the total number of goals scored of the club with more than 3 draws, more than 1 loses, and less than 26 points?

CREATE TABLE table_name_15 ( goals_scored VARCHAR, points VARCHAR, draws VARCHAR, loses VARCHAR )

SELECT COUNT(goals_scored) FROM table_name_15 WHERE draws > 3 AND loses > 1 AND points < 26

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Name the title for us viewers being 18.29

CREATE TABLE table_23032 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "U.S. viewers (millions)" text )

SELECT "Title" FROM table_23032 WHERE "U.S. viewers (millions)" = '18.29'

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What 2006 has 0-0 as the 2011?

CREATE TABLE table_name_29 ( Id VARCHAR )

SELECT 2006 FROM table_name_29 WHERE 2011 = "0-0"

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Which Competition has a Score of 0-1, and Opponents of pkns fc?

CREATE TABLE table_name_33 ( competition VARCHAR, score VARCHAR, opponents VARCHAR )

SELECT competition FROM table_name_33 WHERE score = "0-1" AND opponents = "pkns fc"

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What is the smallest number of extra points for a left halfback?

CREATE TABLE table_25517718_3 ( extra_points INTEGER, position VARCHAR )

SELECT MIN(extra_points) FROM table_25517718_3 WHERE position = "Left halfback"

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What venue featured north melbourne as the away side?

CREATE TABLE table_name_27 ( venue VARCHAR, away_team VARCHAR )

SELECT venue FROM table_name_27 WHERE away_team = "north melbourne"

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What is the highest selection number for the saskatchewan roughriders team?

CREATE TABLE table_16400 ( "Pick #" real, "CFL Team" text, "Player" text, "Position" text, "College" text )

SELECT MAX("Pick #") FROM table_16400 WHERE "CFL Team" = 'Saskatchewan Roughriders'

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Was the release on April 8 available on Windows?

CREATE TABLE table_18012 ( "Release" text, "Title" text, "Windows" text, "5th Gen" text, "6th Gen" text, "Handheld" text )

SELECT "Windows" FROM table_18012 WHERE "Release" = 'April 8'

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List each donator name and the amount of endowment in descending order of the amount of endowment.

CREATE TABLE endowment ( donator_name VARCHAR, amount INTEGER )

SELECT donator_name, SUM(amount) FROM endowment GROUP BY donator_name ORDER BY SUM(amount) DESC

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this year what were the four most common lab tests?

CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE diagnosis ( diagnosisid number...

SELECT t1.labname FROM (SELECT lab.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM lab WHERE DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY lab.labname) AS t1 WHERE t1.c1 <= 4

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Who is the crew chief of team Chip Ganassi Racing with Felix Sabates, which has Casey Mears as the driver?

CREATE TABLE table_name_10 ( crew_chief VARCHAR, team VARCHAR, driver_s_ VARCHAR )

SELECT crew_chief FROM table_name_10 WHERE team = "chip ganassi racing with felix sabates" AND driver_s_ = "casey mears"

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What is the Total of kyrgyzstan with a Silver smaller than 0?

CREATE TABLE table_name_97 ( total INTEGER, nation VARCHAR, silver VARCHAR )

SELECT AVG(total) FROM table_name_97 WHERE nation = "kyrgyzstan" AND silver < 0

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Name the minimum game

CREATE TABLE table_11964263_13 ( game INTEGER )

SELECT MIN(game) FROM table_11964263_13

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calculate the number of patients who were admitted to hospital during this year.

CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE i...

SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE DATETIME(admissions.admittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')

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What is the percentage of others with a Fidesz of 62% and a Jobbik of 4%?

CREATE TABLE table_name_93 ( others VARCHAR, fidesz VARCHAR, jobbik VARCHAR )

SELECT others FROM table_name_93 WHERE fidesz = "62%" AND jobbik = "4%"

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Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes' with a bar chart, show from low to high by the X.

CREATE TABLE management ( department_ID int, head_ID int, temporary_acting text ) CREATE TABLE department ( Department_ID int, Name text, Creation text, Ranking int, Budget_in_Billions real, Num_Employees real ) CREATE TABLE head ( head_ID int, name text, born_state tex...

SELECT Name, SUM(Num_Employees) FROM department AS T1 JOIN management AS T2 ON T1.department_ID = T2.department_ID WHERE T2.temporary_acting = 'Yes' GROUP BY Name ORDER BY Name

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What is the lowest number of points that Tevita Vaikona scored when making more than 23 tries?

CREATE TABLE table_51420 ( "Player" text, "Position" text, "Tries" real, "Goals" real, "Points" real )

SELECT MIN("Points") FROM table_51420 WHERE "Tries" > '23' AND "Player" = 'tevita vaikona'

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what is the category that has the people's choice awards?

CREATE TABLE table_68026 ( "Year" real, "Result" text, "Award" text, "Category" text, "Nominated work" text )

SELECT "Category" FROM table_68026 WHERE "Award" = 'people''s choice awards'

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Name the number of barangay for 205.4 density

CREATE TABLE table_269888_1 ( no_of_s_barangay VARCHAR, pop_density__per_km²_ VARCHAR )

SELECT no_of_s_barangay FROM table_269888_1 WHERE pop_density__per_km²_ = "205.4"

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What was the position of the Slavia team in 1998?

CREATE TABLE table_name_10 ( position_in_1998 VARCHAR, team VARCHAR )

SELECT position_in_1998 FROM table_name_10 WHERE team = "slavia"

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when was the last time that patient 013-9305 received a procedure in the previous year?

CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wa...

SELECT treatment.treatmenttime FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '013-9305')) AND DATETIME(treatment.treatmenttime, 'start of year'...

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What is Partner, when Outcome is Winner, and when Date is 12 October 2003?

CREATE TABLE table_name_73 ( partner VARCHAR, outcome VARCHAR, date VARCHAR )

SELECT partner FROM table_name_73 WHERE outcome = "winner" AND date = "12 october 2003"

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Tell me the city of license with frequency of Mhz of 90.3 fm

CREATE TABLE table_77613 ( "Call sign" text, "Frequency MHz" text, "City of license" text, "ERP W" real, "Class" text, "FCC info" text )

SELECT "City of license" FROM table_77613 WHERE "Frequency MHz" = '90.3 fm'

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What was the score when Spennymoor United as the away team?

CREATE TABLE table_name_67 ( score VARCHAR, away_team VARCHAR )

SELECT score FROM table_name_67 WHERE away_team = "spennymoor united"

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Please show the employee last names that serves no more than 20 customers.

CREATE TABLE playlist ( playlistid number, name text ) CREATE TABLE customer ( customerid number, firstname text, lastname text, company text, address text, city text, state text, country text, postalcode text, phone text, fax text, email text, supportrepid n...

SELECT T1.lastname FROM customer AS T1 JOIN employee AS T2 ON T1.supportrepid = T2.employeeid GROUP BY T1.supportrepid HAVING COUNT(*) <= 20

spider

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Who are the villains in 'the others'?

CREATE TABLE table_25688 ( "Episode Number" text, "Title" text, "Villains" text, "Director" text, "Writer" text, "Original airdate" text )

SELECT "Villains" FROM table_25688 WHERE "Title" = 'The Others'

wikisql

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What team has a location and attendance at the Seattle Center Coliseum 12,591?

CREATE TABLE table_50163 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Record" text )

SELECT "Team" FROM table_50163 WHERE "Location Attendance" = 'seattle center coliseum 12,591'

wikisql

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What was the final score of the game at Texas Stadium?

CREATE TABLE table_name_26 ( final_score VARCHAR, stadium VARCHAR )

SELECT final_score FROM table_name_26 WHERE stadium = "texas stadium"

sql_create_context

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Which Game has a Record of 27-11-10?

CREATE TABLE table_38452 ( "Game" real, "March" real, "Opponent" text, "Score" text, "Record" text )

SELECT AVG("Game") FROM table_38452 WHERE "Record" = '27-11-10'

wikisql

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What is every average when number of dances is 1?

CREATE TABLE table_26375386_28 ( average VARCHAR, number_of_dances VARCHAR )

SELECT average FROM table_26375386_28 WHERE number_of_dances = 1

sql_create_context

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what is admission type and death status of subject name james sloan?

CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescription...

SELECT demographic.admission_type, demographic.expire_flag FROM demographic WHERE demographic.name = "James Sloan"

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In what Year was the Game on September 26?

CREATE TABLE table_46974 ( "Year" real, "Date" text, "Winner" text, "Result" text, "Loser" text, "Location" text )

SELECT SUM("Year") FROM table_46974 WHERE "Date" = 'september 26'

wikisql

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Comments including the word 'edited'.

CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABL...

SELECT CreationDate, Id AS "comment_link" FROM Comments WHERE LOWER(Text) LIKE '%edited%' AND CreationDate >= '2019-01-01' ORDER BY LENGTH(Text) LIMIT 1000

sede

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count the number of inpatient hospital admission patients born before 2092.

CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND demographic.dob_year < "2092"

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Potential necromancer answers for a given user: answers with questions 60 days older or more.

CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDispl...

SELECT Answers.Id AS "post_link", Answers.CreationDate AS "Answered Date", Questions.CreationDate AS "Asked Date", DATEDIFF(day, Questions.CreationDate, CreationDate) AS "Date Delta Days", Answers.Score FROM Posts AS Answers INNER JOIN Posts AS Questions ON Answers.PostTypeId = 2 AND Answers.OwnerUserId = '##UserId?895...

sede

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What is the sum of budgets of the Marketing and Finance departments?

CREATE TABLE prereq ( course_id text, prereq_id text ) CREATE TABLE takes ( id text, course_id text, sec_id text, semester text, year number, grade text ) CREATE TABLE teaches ( id text, course_id text, sec_id text, semester text, year number ) CREATE TABLE instruc...

SELECT SUM(budget) FROM department WHERE dept_name = 'Marketing' OR dept_name = 'Finance'

spider

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what is patient 13473's last ward id until 4 years ago?

CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, d...

SELECT transfers.wardid FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13473) AND NOT transfers.wardid IS NULL AND DATETIME(transfers.intime) <= DATETIME(CURRENT_TIME(), '-4 year') ORDER BY transfers.intime DESC LIMIT 1

mimic_iii

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What is the location and attendance for the Orlando team?

CREATE TABLE table_17323092_6 ( location_attendance VARCHAR, team VARCHAR )

SELECT location_attendance FROM table_17323092_6 WHERE team = "Orlando"

sql_create_context

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What is the total number of Mark, when Country is 'Russia', and when React is less than 0.165?

CREATE TABLE table_9646 ( "Lane" real, "Name" text, "Country" text, "Mark" real, "React" real )

SELECT COUNT("Mark") FROM table_9646 WHERE "Country" = 'russia' AND "React" < '0.165'

wikisql

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