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
Name the home team for carlton away team	CREATE TABLE table_name_77 ( home_team VARCHAR, away_team VARCHAR )	SELECT home_team FROM table_name_77 WHERE away_team = "carlton"	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 will the population of Asia be when Latin America/Caribbean is 783 (7.5%)?	CREATE TABLE table_22767 ( "Year" real, "World" real, "Asia" text, "Africa" text, "Europe" text, "Latin America/Caribbean" text, "Northern America" text, "Oceania" text )	SELECT "Asia" FROM table_22767 WHERE "Latin America/Caribbean" = '783 (7.5%)'	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 faculty members do we have for each gender? Draw a bar chart, order by the Y-axis in descending.	CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) CREATE TABLE Faculty ( FacID INTEGER, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1...	SELECT Sex, COUNT() FROM Faculty GROUP BY Sex ORDER BY COUNT() 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, ...
List the record of 0-1 from the table?	CREATE TABLE table_14656147_2 ( week VARCHAR, record VARCHAR )	SELECT week FROM table_14656147_2 WHERE record = "0-1"	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, ...
Which silver has a Gold smaller than 12, a Rank smaller than 5, and a Bronze of 5?	CREATE TABLE table_name_24 ( silver VARCHAR, bronze VARCHAR, gold VARCHAR, rank VARCHAR )	SELECT silver FROM table_name_24 WHERE gold < 12 AND rank < 5 AND bronze = 5	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 did Samsung Electronics Co LTD make the GT-i9100?	CREATE TABLE table_47482 ( "Company name" text, "Hardware Model" text, "Accreditation type" text, "Accreditation level" text, "Date" text )	SELECT "Date" FROM table_47482 WHERE "Company name" = 'samsung electronics co ltd' AND "Hardware Model" = 'gt-i9100'	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 are the early morning flights from BOSTON to DENVER	CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE ground_service ( city_code text, airp...	SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER...	atis	[ [ 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 most 3 credits	CREATE TABLE table_148535_2 ( Id VARCHAR )	SELECT MIN(3 AS _credits) FROM table_148535_2	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 every yellow jersey entry for the distance 125?	CREATE TABLE table_3791 ( "Year" text, "Stage" real, "Start of stage" text, "Distance (km)" text, "Category of climb" text, "Stage winner" text, "Nationality" text, "Yellow jersey" text, "Bend" real )	SELECT "Yellow jersey" FROM table_3791 WHERE "Distance (km)" = '125'	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, ...
In what years was there a rank lower than 9, under 84 goals, and more than 158 matches?	CREATE TABLE table_name_63 ( years VARCHAR, goals VARCHAR, matches VARCHAR, rank VARCHAR )	SELECT years FROM table_name_63 WHERE matches > 158 AND rank > 9 AND goals < 84	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 aired at 10:00 when Flashpoint aired at 9:30?	CREATE TABLE table_43208 ( "8:00" text, "8:30" text, "9:00" text, "9:30" text, "10:00" text )	SELECT "10:00" FROM table_43208 WHERE "9:30" = 'flashpoint'	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, ...
count the number of patients whose insurance is government and procedure short title is rt/left heart card cath?	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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.short_title = "Rt/left heart card cath"	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 was the record of the game in which Dydek (10) did the most high rebounds?	CREATE TABLE table_18904831_5 ( record VARCHAR, high_rebounds VARCHAR )	SELECT record FROM table_18904831_5 WHERE high_rebounds = "Dydek (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, ...
When was the game played at glenferrie oval?	CREATE TABLE table_10130 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )	SELECT "Date" FROM table_10130 WHERE "Venue" = 'glenferrie oval'	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 highest K 2 O, when Na 2 O is greater than 1.87, when Fe 2 O 3 is greater than 0.07, when Objects is Ritual Disk, and when Al 2 O 3 is less than 0.62?	CREATE TABLE table_7207 ( "Objects" text, "Date" text, "SiO 2" real, "Al 2 O 3" real, "Fe 2 O 3" real, "K 2 O" real, "Na 2 O" real )	SELECT MAX("K 2 O") FROM table_7207 WHERE "Na 2 O" > '1.87' AND "Fe 2 O 3" > '0.07' AND "Objects" = 'ritual disk' AND "Al 2 O 3" < '0.62'	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 patients diagnosed with icd9 code 45620 who had a blood test.	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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "45620" AND lab.fluid = "Blood"	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, ...
count the number of patients whose primary disease is pneumonia;human immunodefiency virus;rule out tuberculosis and year of death is less than or equal to 2168?	CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, ...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS" AND demographic.dod_year <= "2168.0"	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 section is in the 6th position?	CREATE TABLE table_72013 ( "Season" text, "Level" text, "Division" text, "Section" text, "Position" text )	SELECT "Section" FROM table_72013 WHERE "Position" = '6th'	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 area of the coed school with a state authority and a roll number of 122?	CREATE TABLE table_69300 ( "Name" text, "Years" text, "Gender" text, "Area" text, "Authority" text, "Decile" real, "Roll" real )	SELECT "Area" FROM table_69300 WHERE "Authority" = 'state' AND "Gender" = 'coed' AND "Roll" = '122'	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 type of institution is in Amherst, MA?	CREATE TABLE table_name_1 ( type VARCHAR, location VARCHAR )	SELECT type FROM table_name_1 WHERE location = "amherst, ma"	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 years did Birger Ruud win the FIS Nordic World Ski Championships?	CREATE TABLE table_21696 ( "Winner" text, "Country" text, "Winter Olympics" text, "FIS Nordic World Ski Championships" text, "Holmenkollen" text )	SELECT "FIS Nordic World Ski Championships" FROM table_21696 WHERE "Winner" = 'Birger Ruud'	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 members of estonia 's men 's national volleyball team were born in 1988 ?	CREATE TABLE table_203_116 ( id number, "no." number, "player" text, "birth date" text, "weight" number, "height" number, "position" text, "current club" text )	SELECT COUNT("player") FROM table_203_116 WHERE "birth date" = 1988	squall	[ [ 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 episoe number in the season originally aired on February 11, 1988?	CREATE TABLE table_2818164_5 ( no_in_season VARCHAR, original_air_date VARCHAR )	SELECT no_in_season FROM table_2818164_5 WHERE original_air_date = "February 11, 1988"	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 date was the match against adri n men ndez-maceiras?	CREATE TABLE table_60686 ( "Date" text, "Tournament" text, "Surface" text, "Opponent" text, "Score" text )	SELECT "Date" FROM table_60686 WHERE "Opponent" = 'adrián menéndez-maceiras'	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, ...
did shoko goto make more films in 2004 or 2005 ?	CREATE TABLE table_203_365 ( id number, "released" text, "video title" text, "company" text, "director" text, "notes" text )	SELECT "released" FROM table_203_365 WHERE "released" IN (2004, 2005) GROUP BY "released" ORDER BY COUNT("video title") DESC LIMIT 1	squall	[ [ 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 listed is dated February 22, 2003?	CREATE TABLE table_65116 ( "Date" text, "Venue" text, "Score" text, "Result" text, "Competition" text )	SELECT "Venue" FROM table_65116 WHERE "Date" = 'february 22, 2003'	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, ...
provide the number of patients whose admission type is emergency and lab test name is rbc, csf?	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.admission_type = "EMERGENCY" AND lab.label = "RBC, CSF"	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, ...
How often does the course POLSCI 659 meet ?	CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_p...	SELECT DISTINCT course_offering.friday, course_offering.monday, course_offering.saturday, course_offering.sunday, course_offering.thursday, course_offering.tuesday, course_offering.wednesday FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_i...	advising	[ [ 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 couple participated in the Contemporary style of dance?	CREATE TABLE table_40395 ( "Couple" text, "Style" text, "Music" text, "Choreographer(s)" text, "Results" text )	SELECT "Couple" FROM table_40395 WHERE "Style" = 'contemporary'	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 metrical equivalence for linha	CREATE TABLE table_28772 ( "Portuguese name" text, "English name" text, "Subdivides in" text, "Equivalence in Varas" text, "Metrical equivalence" text )	SELECT "Metrical equivalence" FROM table_28772 WHERE "Portuguese name" = 'Linha'	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, ...
If the college is SMU, what is the position?	CREATE TABLE table_27132791_3 ( position VARCHAR, college VARCHAR )	SELECT position FROM table_27132791_3 WHERE college = "SMU"	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 represented team on June 27?	CREATE TABLE table_21876 ( "Season" real, "Date" text, "Winning Driver" text, "Car #" real, "Sponsor" text, "Make" text, "Team" text, "Avg Speed" text, "Margin of Victory" text )	SELECT "Team" FROM table_21876 WHERE "Date" = 'June 27'	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, ...
Please show the songs that have result 'nominated' at music festivals.	CREATE TABLE artist ( artist_id number, artist text, age number, famous_title text, famous_release_date text ) CREATE TABLE music_festival ( id number, music_festival text, date_of_ceremony text, category text, volume number, result text ) CREATE TABLE volume ( volume_i...	SELECT T2.song FROM music_festival AS T1 JOIN volume AS T2 ON T1.volume = T2.volume_id WHERE T1.result = "Nominated"	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, ...
Which teams had more than 3 eliminations?	CREATE TABLE elimination ( elimination_id text, wrestler_id text, team text, eliminated_by text, elimination_move text, time text ) CREATE TABLE wrestler ( wrestler_id number, name text, reign text, days_held text, location text, event text )	SELECT team FROM elimination GROUP BY team HAVING COUNT(*) > 3	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, ...
how many athletes had a better result than tatyana bocharova ?	CREATE TABLE table_204_910 ( id number, "rank" number, "name" text, "nationality" text, "result" number, "notes" text )	SELECT COUNT("name") FROM table_204_910 WHERE "result" > (SELECT "result" FROM table_204_910 WHERE "name" = 'tatyana bocharova')	squall	[ [ 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 Type has a Capacity of 28 passengers, and a Number of 16?	CREATE TABLE table_8430 ( "Number" text, "Builder" text, "Type" text, "Date" real, "Length" text, "Capacity" text )	SELECT "Type" FROM table_8430 WHERE "Capacity" = '28 passengers' AND "Number" = '16'	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, ...
Show the names of people, and dates and venues of debates they are on the negative side, ordered in ascending alphabetical order of name.	CREATE TABLE people ( people_id number, district text, name text, party text, age number ) CREATE TABLE debate_people ( debate_id number, affirmative number, negative number, if_affirmative_win others ) CREATE TABLE debate ( debate_id number, date text, venue text, ...	SELECT T3.name, T2.date, T2.venue FROM debate_people AS T1 JOIN debate AS T2 ON T1.debate_id = T2.debate_id JOIN people AS T3 ON T1.negative = T3.people_id ORDER BY T3.name	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, ...
is a 2 credit full house the same as a 5 credit three of a kind ?	CREATE TABLE table_203_564 ( id number, "hand" text, "1 credit" number, "2 credits" number, "3 credits" number, "4 credits" number, "5 credits" number )	SELECT (SELECT "2 credits" FROM table_203_564 WHERE "hand" = 'full house') = (SELECT "5 credits" FROM table_203_564 WHERE "hand" = 'three of a kind')	squall	[ [ 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, ...
Next semester , what time does the EDUC 510 lecture begin ?	CREATE TABLE area ( course_id int, area varchar ) CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE ta ( campus_job_id int, student_id int, location varchar ) CREATE TABLE course ( course_id int, name varchar, dep...	SELECT DISTINCT course_offering.start_time FROM course INNER JOIN program_course ON program_course.course_id = course.course_id INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'EDUC' AND course.nu...	advising	[ [ 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 records from the products and each product's manufacturer, a bar chart shows the distribution of name and the sum of code , and group by attribute name, sort total number of code in asc order.	CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL ) CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER )	SELECT T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Code	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 was the highest round that had northwestern?	CREATE TABLE table_name_18 ( round INTEGER, school VARCHAR )	SELECT MAX(round) FROM table_name_18 WHERE school = "northwestern"	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 Wins with a Position of 20th, and Poles smaller than 0?	CREATE TABLE table_name_19 ( wins INTEGER, position VARCHAR, poles VARCHAR )	SELECT MIN(wins) FROM table_name_19 WHERE position = "20th" AND poles < 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, ...
Who is listed under mens singles when womens has wang nan zhang yining?	CREATE TABLE table_30306 ( "Year Location" text, "Mens Singles" text, "Womens Singles" text, "Mens Doubles" text, "Womens Doubles" text )	SELECT "Mens Singles" FROM table_30306 WHERE "Womens Doubles" = 'Wang Nan Zhang Yining'	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 are the start and end dates for incidents with incident type code 'NOISE'?	CREATE TABLE Behavior_Incident ( date_incident_start VARCHAR, date_incident_end VARCHAR, incident_type_code VARCHAR )	SELECT date_incident_start, date_incident_end FROM Behavior_Incident WHERE incident_type_code = "NOISE"	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 home team for carlton away team

CREATE TABLE table_name_77 ( home_team VARCHAR, away_team VARCHAR )

SELECT home_team FROM table_name_77 WHERE away_team = "carlton"

sql_create_context

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what will the population of Asia be when Latin America/Caribbean is 783 (7.5%)?

CREATE TABLE table_22767 ( "Year" real, "World" real, "Asia" text, "Africa" text, "Europe" text, "Latin America/Caribbean" text, "Northern America" text, "Oceania" text )

SELECT "Asia" FROM table_22767 WHERE "Latin America/Caribbean" = '783 (7.5%)'

wikisql

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How many faculty members do we have for each gender? Draw a bar chart, order by the Y-axis in descending.

CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) CREATE TABLE Faculty ( FacID INTEGER, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1...

SELECT Sex, COUNT(*) FROM Faculty GROUP BY Sex ORDER BY COUNT(*) DESC

nvbench

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List the record of 0-1 from the table?

CREATE TABLE table_14656147_2 ( week VARCHAR, record VARCHAR )

SELECT week FROM table_14656147_2 WHERE record = "0-1"

sql_create_context

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Which silver has a Gold smaller than 12, a Rank smaller than 5, and a Bronze of 5?

CREATE TABLE table_name_24 ( silver VARCHAR, bronze VARCHAR, gold VARCHAR, rank VARCHAR )

SELECT silver FROM table_name_24 WHERE gold < 12 AND rank < 5 AND bronze = 5

sql_create_context

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When did Samsung Electronics Co LTD make the GT-i9100?

CREATE TABLE table_47482 ( "Company name" text, "Hardware Model" text, "Accreditation type" text, "Accreditation level" text, "Date" text )

SELECT "Date" FROM table_47482 WHERE "Company name" = 'samsung electronics co ltd' AND "Hardware Model" = 'gt-i9100'

wikisql

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what are the early morning flights from BOSTON to DENVER

CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE ground_service ( city_code text, airp...

SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER...

atis

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Name the most 3 credits

CREATE TABLE table_148535_2 ( Id VARCHAR )

SELECT MIN(3 AS _credits) FROM table_148535_2

sql_create_context

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What is every yellow jersey entry for the distance 125?

CREATE TABLE table_3791 ( "Year" text, "Stage" real, "Start of stage" text, "Distance (km)" text, "Category of climb" text, "Stage winner" text, "Nationality" text, "Yellow jersey" text, "Bend" real )

SELECT "Yellow jersey" FROM table_3791 WHERE "Distance (km)" = '125'

wikisql

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In what years was there a rank lower than 9, under 84 goals, and more than 158 matches?

CREATE TABLE table_name_63 ( years VARCHAR, goals VARCHAR, matches VARCHAR, rank VARCHAR )

SELECT years FROM table_name_63 WHERE matches > 158 AND rank > 9 AND goals < 84

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What aired at 10:00 when Flashpoint aired at 9:30?

CREATE TABLE table_43208 ( "8:00" text, "8:30" text, "9:00" text, "9:30" text, "10:00" text )

SELECT "10:00" FROM table_43208 WHERE "9:30" = 'flashpoint'

wikisql

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count the number of patients whose insurance is government and procedure short title is rt/left heart card cath?

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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.short_title = "Rt/left heart card cath"

mimicsql_data

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What was the record of the game in which Dydek (10) did the most high rebounds?

CREATE TABLE table_18904831_5 ( record VARCHAR, high_rebounds VARCHAR )

SELECT record FROM table_18904831_5 WHERE high_rebounds = "Dydek (10)"

sql_create_context

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When was the game played at glenferrie oval?

CREATE TABLE table_10130 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )

SELECT "Date" FROM table_10130 WHERE "Venue" = 'glenferrie oval'

wikisql

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What is the highest K 2 O, when Na 2 O is greater than 1.87, when Fe 2 O 3 is greater than 0.07, when Objects is Ritual Disk, and when Al 2 O 3 is less than 0.62?

CREATE TABLE table_7207 ( "Objects" text, "Date" text, "SiO 2" real, "Al 2 O 3" real, "Fe 2 O 3" real, "K 2 O" real, "Na 2 O" real )

SELECT MAX("K 2 O") FROM table_7207 WHERE "Na 2 O" > '1.87' AND "Fe 2 O 3" > '0.07' AND "Objects" = 'ritual disk' AND "Al 2 O 3" < '0.62'

wikisql

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what is the total number of patients diagnosed with icd9 code 45620 who had a blood test.

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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "45620" AND lab.fluid = "Blood"

mimicsql_data

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count the number of patients whose primary disease is pneumonia;human immunodefiency virus;rule out tuberculosis and year of death is less than or equal to 2168?

CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, ...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS" AND demographic.dod_year <= "2168.0"

mimicsql_data

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Which section is in the 6th position?

CREATE TABLE table_72013 ( "Season" text, "Level" text, "Division" text, "Section" text, "Position" text )

SELECT "Section" FROM table_72013 WHERE "Position" = '6th'

wikisql

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What is the area of the coed school with a state authority and a roll number of 122?

CREATE TABLE table_69300 ( "Name" text, "Years" text, "Gender" text, "Area" text, "Authority" text, "Decile" real, "Roll" real )

SELECT "Area" FROM table_69300 WHERE "Authority" = 'state' AND "Gender" = 'coed' AND "Roll" = '122'

wikisql

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Which type of institution is in Amherst, MA?

CREATE TABLE table_name_1 ( type VARCHAR, location VARCHAR )

SELECT type FROM table_name_1 WHERE location = "amherst, ma"

sql_create_context

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What years did Birger Ruud win the FIS Nordic World Ski Championships?

CREATE TABLE table_21696 ( "Winner" text, "Country" text, "Winter Olympics" text, "FIS Nordic World Ski Championships" text, "Holmenkollen" text )

SELECT "FIS Nordic World Ski Championships" FROM table_21696 WHERE "Winner" = 'Birger Ruud'

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how many members of estonia 's men 's national volleyball team were born in 1988 ?

CREATE TABLE table_203_116 ( id number, "no." number, "player" text, "birth date" text, "weight" number, "height" number, "position" text, "current club" text )

SELECT COUNT("player") FROM table_203_116 WHERE "birth date" = 1988

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What episoe number in the season originally aired on February 11, 1988?

CREATE TABLE table_2818164_5 ( no_in_season VARCHAR, original_air_date VARCHAR )

SELECT no_in_season FROM table_2818164_5 WHERE original_air_date = "February 11, 1988"

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What date was the match against adri n men ndez-maceiras?

CREATE TABLE table_60686 ( "Date" text, "Tournament" text, "Surface" text, "Opponent" text, "Score" text )

SELECT "Date" FROM table_60686 WHERE "Opponent" = 'adrián menéndez-maceiras'

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did shoko goto make more films in 2004 or 2005 ?

CREATE TABLE table_203_365 ( id number, "released" text, "video title" text, "company" text, "director" text, "notes" text )

SELECT "released" FROM table_203_365 WHERE "released" IN (2004, 2005) GROUP BY "released" ORDER BY COUNT("video title") DESC LIMIT 1

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What venue listed is dated February 22, 2003?

CREATE TABLE table_65116 ( "Date" text, "Venue" text, "Score" text, "Result" text, "Competition" text )

SELECT "Venue" FROM table_65116 WHERE "Date" = 'february 22, 2003'

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provide the number of patients whose admission type is emergency and lab test name is rbc, csf?

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.admission_type = "EMERGENCY" AND lab.label = "RBC, CSF"

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How often does the course POLSCI 659 meet ?

CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_p...

SELECT DISTINCT course_offering.friday, course_offering.monday, course_offering.saturday, course_offering.sunday, course_offering.thursday, course_offering.tuesday, course_offering.wednesday FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_i...

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Which couple participated in the Contemporary style of dance?

CREATE TABLE table_40395 ( "Couple" text, "Style" text, "Music" text, "Choreographer(s)" text, "Results" text )

SELECT "Couple" FROM table_40395 WHERE "Style" = 'contemporary'

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Name the metrical equivalence for linha

CREATE TABLE table_28772 ( "Portuguese name" text, "English name" text, "Subdivides in" text, "Equivalence in Varas" text, "Metrical equivalence" text )

SELECT "Metrical equivalence" FROM table_28772 WHERE "Portuguese name" = 'Linha'

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If the college is SMU, what is the position?

CREATE TABLE table_27132791_3 ( position VARCHAR, college VARCHAR )

SELECT position FROM table_27132791_3 WHERE college = "SMU"

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What was the represented team on June 27?

CREATE TABLE table_21876 ( "Season" real, "Date" text, "Winning Driver" text, "Car #" real, "Sponsor" text, "Make" text, "Team" text, "Avg Speed" text, "Margin of Victory" text )

SELECT "Team" FROM table_21876 WHERE "Date" = 'June 27'

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Please show the songs that have result 'nominated' at music festivals.

CREATE TABLE artist ( artist_id number, artist text, age number, famous_title text, famous_release_date text ) CREATE TABLE music_festival ( id number, music_festival text, date_of_ceremony text, category text, volume number, result text ) CREATE TABLE volume ( volume_i...

SELECT T2.song FROM music_festival AS T1 JOIN volume AS T2 ON T1.volume = T2.volume_id WHERE T1.result = "Nominated"

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Which teams had more than 3 eliminations?

CREATE TABLE elimination ( elimination_id text, wrestler_id text, team text, eliminated_by text, elimination_move text, time text ) CREATE TABLE wrestler ( wrestler_id number, name text, reign text, days_held text, location text, event text )

SELECT team FROM elimination GROUP BY team HAVING COUNT(*) > 3

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how many athletes had a better result than tatyana bocharova ?

CREATE TABLE table_204_910 ( id number, "rank" number, "name" text, "nationality" text, "result" number, "notes" text )

SELECT COUNT("name") FROM table_204_910 WHERE "result" > (SELECT "result" FROM table_204_910 WHERE "name" = 'tatyana bocharova')

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Which Type has a Capacity of 28 passengers, and a Number of 16?

CREATE TABLE table_8430 ( "Number" text, "Builder" text, "Type" text, "Date" real, "Length" text, "Capacity" text )

SELECT "Type" FROM table_8430 WHERE "Capacity" = '28 passengers' AND "Number" = '16'

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Show the names of people, and dates and venues of debates they are on the negative side, ordered in ascending alphabetical order of name.

CREATE TABLE people ( people_id number, district text, name text, party text, age number ) CREATE TABLE debate_people ( debate_id number, affirmative number, negative number, if_affirmative_win others ) CREATE TABLE debate ( debate_id number, date text, venue text, ...

SELECT T3.name, T2.date, T2.venue FROM debate_people AS T1 JOIN debate AS T2 ON T1.debate_id = T2.debate_id JOIN people AS T3 ON T1.negative = T3.people_id ORDER BY T3.name

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is a 2 credit full house the same as a 5 credit three of a kind ?

CREATE TABLE table_203_564 ( id number, "hand" text, "1 credit" number, "2 credits" number, "3 credits" number, "4 credits" number, "5 credits" number )

SELECT (SELECT "2 credits" FROM table_203_564 WHERE "hand" = 'full house') = (SELECT "5 credits" FROM table_203_564 WHERE "hand" = 'three of a kind')

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Next semester , what time does the EDUC 510 lecture begin ?

CREATE TABLE area ( course_id int, area varchar ) CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE ta ( campus_job_id int, student_id int, location varchar ) CREATE TABLE course ( course_id int, name varchar, dep...

SELECT DISTINCT course_offering.start_time FROM course INNER JOIN program_course ON program_course.course_id = course.course_id INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'EDUC' AND course.nu...

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For those records from the products and each product's manufacturer, a bar chart shows the distribution of name and the sum of code , and group by attribute name, sort total number of code in asc order.

CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL ) CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER )

SELECT T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Code

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What was the highest round that had northwestern?

CREATE TABLE table_name_18 ( round INTEGER, school VARCHAR )

SELECT MAX(round) FROM table_name_18 WHERE school = "northwestern"

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What is the smallest Wins with a Position of 20th, and Poles smaller than 0?

CREATE TABLE table_name_19 ( wins INTEGER, position VARCHAR, poles VARCHAR )

SELECT MIN(wins) FROM table_name_19 WHERE position = "20th" AND poles < 0

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Who is listed under mens singles when womens has wang nan zhang yining?

CREATE TABLE table_30306 ( "Year Location" text, "Mens Singles" text, "Womens Singles" text, "Mens Doubles" text, "Womens Doubles" text )

SELECT "Mens Singles" FROM table_30306 WHERE "Womens Doubles" = 'Wang Nan Zhang Yining'

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What are the start and end dates for incidents with incident type code 'NOISE'?

CREATE TABLE Behavior_Incident ( date_incident_start VARCHAR, date_incident_end VARCHAR, incident_type_code VARCHAR )

SELECT date_incident_start, date_incident_end FROM Behavior_Incident WHERE incident_type_code = "NOISE"

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