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
How many of Skeet's rep increase this year comes from old answers of his?.	CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text,...	SELECT YEAR(p.CreationDate) AS "jonsanswerwrittenyear", YEAR(v.CreationDate) AS "votecastyear", COUNT(v.Id) AS "numberofanswers" FROM Votes AS v LEFT OUTER JOIN Posts AS p ON p.Id = v.PostId WHERE VoteTypeId = 2 AND OwnerUserId = 22656 AND YEAR(v.CreationDate) = YEAR(CURRENT_TIMESTAMP()) GROUP BY YEAR(p.CreationDate), ...	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 player is a wide receiver picked in round 7?	CREATE TABLE table_name_77 ( player VARCHAR, position VARCHAR, round VARCHAR )	SELECT player FROM table_name_77 WHERE position = "wide receiver" AND round = 7	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 institution was founded in 1923?	CREATE TABLE table_18975 ( "Institution" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text )	SELECT "Institution" FROM table_18975 WHERE "Founded" = '1923'	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 population density of the Capital Region of Denmark?	CREATE TABLE table_16278602_1 ( pop_density__per_km²_ VARCHAR, english_name VARCHAR )	SELECT pop_density__per_km²_ FROM table_16278602_1 WHERE english_name = "Capital Region of Denmark"	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 2012 is the year what is the winning boat?	CREATE TABLE table_3103 ( "Year" real, "Location" text, "Entries" real, "Winning Boat" text, "Country" text, "Skipper" text )	SELECT "Winning Boat" FROM table_3103 WHERE "Year" = '2012'	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 discharge location is disch-tran to psych hosp and diagnoses short title is neonatal hypoglycemia?	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 WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND diagnoses.short_title = "Neonatal hypoglycemia"	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 Venue, when Date is 23,24,26,27,28,29 Feb, 1 Mar 1912?	CREATE TABLE table_name_82 ( venue VARCHAR, date VARCHAR )	SELECT venue FROM table_name_82 WHERE date = "23,24,26,27,28,29 feb, 1 mar 1912"	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 drug type and drug route of drug name calcium acetate?	CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ...	SELECT prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Calcium Acetate"	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 Staying councillors have a New council of 7, and a Previous council larger than 8?	CREATE TABLE table_47341 ( "Party" text, "Previous council" real, "Staying councillors" real, "Seats up for election" real, "Election result" real, "New council" real )	SELECT AVG("Staying councillors") FROM table_47341 WHERE "New council" = '7' AND "Previous council" > '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, ...
Find the name of the department that has no students minored in?	CREATE TABLE MINOR_IN ( DNO VARCHAR ) CREATE TABLE DEPARTMENT ( DName VARCHAR, DNO VARCHAR )	SELECT DName FROM DEPARTMENT EXCEPT SELECT T1.DName FROM DEPARTMENT AS T1 JOIN MINOR_IN AS T2 ON T1.DNO = T2.DNO	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, ...
does DL fly from BOSTON to WASHINGTON	CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TAB...	SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((flight.airline_code = 'DL') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'WASHINGTON' AND flight.to_airport = AIRPORT...	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, ...
What was the score in the game on May 11?	CREATE TABLE table_17324 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Series" text )	SELECT "Score" FROM table_17324 WHERE "Date" = 'May 11'	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 California city has an active status and a greek designation of established colony?	CREATE TABLE table_60717 ( "Greek Designation" text, "Collegiate Institution" text, "Charter Date" text, "Status" text, "City" text, "U.S. State/District" text )	SELECT "City" FROM table_60717 WHERE "Status" = 'active' AND "U.S. State/District" = 'california' AND "Greek Designation" = 'established colony'	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 total career titles of the player who led for 5 years?	CREATE TABLE table_23408094_14 ( total_career_titles VARCHAR, span_of_years_led VARCHAR )	SELECT COUNT(total_career_titles) FROM table_23408094_14 WHERE span_of_years_led = 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, ...
A stacked bar graph shows the total number of captains categorize by ranks of different classes, could you list in ascending by the x-axis?	CREATE TABLE captain ( Captain_ID int, Name text, Ship_ID int, age text, Class text, Rank text ) CREATE TABLE Ship ( Ship_ID int, Name text, Type text, Built_Year real, Class text, Flag text )	SELECT Class, COUNT(Class) FROM captain GROUP BY Rank, Class ORDER BY Class	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, ...
For which tournament was the margin of victory 7 strokes?	CREATE TABLE table_name_50 ( tournament VARCHAR, margin_of_victory VARCHAR )	SELECT tournament FROM table_name_50 WHERE margin_of_victory = "7 strokes"	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 state has a Percent (2009) of 6.2%?	CREATE TABLE table_name_95 ( state VARCHAR, percent__2009_ VARCHAR )	SELECT state FROM table_name_95 WHERE percent__2009_ = "6.2%"	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 was the maximum OTL if L is 28?	CREATE TABLE table_73375 ( "Season" text, "League" text, "Division" text, "GP" real, "W" real, "L" real, "T" real, "OTL" real, "SOL" real, "Pts" real, "PCT" text, "GF" real, "GA" real, "PIM" real, "Coach(es)" text, "Result" text )	SELECT MAX("OTL") FROM table_73375 WHERE "L" = '28'	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 maximum total region with fitzroy being 8047	CREATE TABLE table_17719 ( "Year" real, "Total Region" real, "Rockhampton" real, "Livingstone" real, "Fitzroy" real, "Mt Morgan" real )	SELECT MAX("Total Region") FROM table_17719 WHERE "Fitzroy" = '8047'	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 kills did basobas, florentino have?	CREATE TABLE table_62346 ( "Perpetrator" text, "Location" text, "Country" text, "Killed" real, "Injured" text )	SELECT MAX("Killed") FROM table_62346 WHERE "Perpetrator" = 'basobas, florentino'	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 related tags to a given input tag..	CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDa...	SELECT Tags.TagName AS "tag_name", COUNT(*) AS "number_of_associated_posts" FROM PostTags INNER JOIN Tags ON Tags.Id = PostTags.TagId WHERE PostTags.PostId IN (SELECT DISTINCT PostId FROM PostTags INNER JOIN Tags ON Tags.Id = PostTags.TagId WHERE Tags.TagName = '##TagName:string##') AND Tags.TagName != '##TagName:strin...	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 owner or owners have an operational description?	CREATE TABLE table_55212 ( "Number & Name" text, "Description" text, "Livery" text, "Owner(s)" text, "Date" text )	SELECT "Owner(s)" FROM table_55212 WHERE "Description" = 'operational'	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 average draw for the song 'stop messin' around'?	CREATE TABLE table_77201 ( "Draw" real, "Artist" text, "Song" text, "Points" real, "Place" text )	SELECT AVG("Draw") FROM table_77201 WHERE "Song" = 'stop messin'' around'	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 LINER class has a W.A. of 0-6-0st with a 2 No. Built?	CREATE TABLE table_name_44 ( lner_class VARCHAR, wa VARCHAR, no_built VARCHAR )	SELECT lner_class FROM table_name_44 WHERE wa = "0-6-0st" AND no_built = 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, ...
I want to see trend of how many date account opened by date account opened, order by the date_account_opened in descending.	CREATE TABLE Order_Items ( order_item_id INTEGER, order_id INTEGER, product_id INTEGER, product_quantity VARCHAR(50), other_order_item_details VARCHAR(255) ) CREATE TABLE Invoice_Line_Items ( order_item_id INTEGER, invoice_number INTEGER, product_id INTEGER, product_title VARCHAR(80...	SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts ORDER BY date_account_opened 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, ...
Which institution has a nickname of Blue Hens?	CREATE TABLE table_50251 ( "Institution" text, "Location" text, "Nickname" text, "Enrollment" real, "Established" real )	SELECT "Institution" FROM table_50251 WHERE "Nickname" = 'blue hens'	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 number drawn when 3 have been lost?	CREATE TABLE table_name_74 ( drawn VARCHAR, lost VARCHAR )	SELECT drawn FROM table_name_74 WHERE lost = "3"	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, ...
elevated serum phenylalanine level ( > 10 mg / dl ) ;	CREATE TABLE table_train_85 ( "id" int, "mini_mental_state_examination_mmse" int, "elevated_serum_phenylalanine" int, "elevated_creatinine" float, "renal_disease" bool, "geriatric_depression_scale_gds" int, "NOUSE" float )	SELECT * FROM table_train_85 WHERE elevated_serum_phenylalanine > 10	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, ...
Who was the visiting team on weeks under 12 and at Sports Authority Field at Mile High?	CREATE TABLE table_68077 ( "Week" real, "Date" text, "Visiting Team" text, "Final Score" text, "Host Team" text, "Stadium" text )	SELECT "Visiting Team" FROM table_68077 WHERE "Week" < '12' AND "Stadium" = 'sports authority field at mile high'	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 Runner(s)-up has a Winning score of 8 (68-68-72-72=280)?	CREATE TABLE table_name_26 ( runner_s__up VARCHAR, winning_score VARCHAR )	SELECT runner_s__up FROM table_name_26 WHERE winning_score = –8(68 - 68 - 72 - 72 = 280)	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, ...
patient troy friedman was hospitalized for how many days?	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 prescriptions...	SELECT demographic.days_stay FROM demographic WHERE demographic.name = "Troy Friedman"	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, ...
give me the number of patients whose diagnoses short title is arthropathy nos-unspec and drug route is po/ng?	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 = "Arthropathy NOS-unspec" AND prescriptions.route = "PO/NG"	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 are the four most common drugs prescribed to the cardiomyopathy - dilated male patients of the 30s in the same month after they were diagnosed with cardiomyopathy - dilated since 2102?	CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, ...	SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'cardiomyopathy - dilated' AND STRFTIME('%y', diagn...	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, ...
only one team has won more than 10 bronze medals in the biathlon at the winter paralympics . which team is it ?	CREATE TABLE table_204_761 ( id number, "rank" number, "nation" text, "gold" number, "silver" number, "bronze" number, "total" number )	SELECT "nation" FROM table_204_761 WHERE "bronze" > 10	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, ...
How many apartment bookings in each day? Show me a line chart grouping by booking end date.	CREATE TABLE Guests ( guest_id INTEGER, gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME ) CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME, available_yn BIT ) CREATE TABLE Apartment_B...	SELECT booking_end_date, COUNT(booking_end_date) FROM Apartment_Bookings GROUP BY booking_end_date	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 are the four most frequently ordered specimen test for patients who were diagnosed with fx facial bone nec-close previously within the same month, since 3 years ago?	CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, s...	SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_...	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, ...
when was the first time that patient 85895 had minimum chloride during a month before.	CREATE TABLE d_labitems ( row_id number, itemid number, label text ) 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 prescriptions ( row_id numbe...	SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 85895) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'chloride') AND DATETIME(labevents.charttime, 'start of month') = DATETIME(CURRE...	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, ...
How many students are in each department? Show me a bar chart.	CREATE TABLE prereq ( course_id varchar(8), prereq_id varchar(8) ) CREATE TABLE advisor ( s_ID varchar(5), i_ID varchar(5) ) CREATE TABLE section ( course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), building varchar(15), room_number varchar(7), ...	SELECT T1.dept_name, COUNT(DISTINCT T2.ID) FROM department AS T1 JOIN student AS T2 ON T1.dept_name = T2.dept_name JOIN instructor AS T3 ON T1.dept_name = T3.dept_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, ...
Name the date for mark cavendish	CREATE TABLE table_67822 ( "Stage" text, "Route" text, "Distance" text, "Date" text, "Winner" text )	SELECT "Date" FROM table_67822 WHERE "Winner" = 'mark cavendish'	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 least spirou	CREATE TABLE table_1190 ( "Title (pages)" text, "Spirou" real, "Writer / Artist" text, "1st publication, Belgium" text, "Integrale" text )	SELECT MIN("Spirou") FROM table_1190	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 top four most common diagnoses that followed during the same month for patients who were treated with packed cell transfusion in 2103?	CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, v...	SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissi...	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, ...
If the pick is under 28 and the position is k, what's the highest Overall pick?	CREATE TABLE table_name_55 ( overall INTEGER, position VARCHAR, pick VARCHAR )	SELECT MAX(overall) FROM table_name_55 WHERE position = "k" AND pick < 28	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 players are from canada ?	CREATE TABLE table_203_455 ( id number, "round" number, "#" number, "player" text, "nationality" text, "college/junior/club team (league)" text )	SELECT COUNT("player") FROM table_203_455 WHERE "nationality" = 'canada'	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, ...
how many hours has elapsed since the first time that patient 006-105495 took a volume (ml) dobutamine intake on the current intensive care unit visit?	CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE patient ( uniquep...	SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', 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 ...	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 times is tries 0 and appearance less than 0?	CREATE TABLE table_name_51 ( points VARCHAR, tries VARCHAR, appearance VARCHAR )	SELECT COUNT(points) FROM table_name_51 WHERE tries = 0 AND appearance < 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 is average age of patients whose admission location is emergency room admit and days of hospital stay is 13?	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 AVG(demographic.age) FROM demographic WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND demographic.days_stay = "13"	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 many players were with the school or club team La Salle?	CREATE TABLE table_10015132_2 ( player VARCHAR, school_club_team VARCHAR )	SELECT COUNT(player) FROM table_10015132_2 WHERE school_club_team = "La Salle"	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 linkedin have Facebook as the site, with a myspace less than 64?	CREATE TABLE table_name_79 ( linkedin VARCHAR, site VARCHAR, myspace VARCHAR )	SELECT COUNT(linkedin) FROM table_name_79 WHERE site = "facebook" AND myspace < 64	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 male patients are less than 55 years of age?	CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id t...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.age < "55"	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 Top-5 is the lowest one that has Cuts made of 10, and Events larger than 10?	CREATE TABLE table_35982 ( "Tournament" text, "Wins" real, "Top-5" real, "Top-10" real, "Top-25" real, "Events" real, "Cuts made" real )	SELECT MIN("Top-5") FROM table_35982 WHERE "Cuts made" = '10' AND "Events" > '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, ...
question score vs top answer score.	CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDa...	SELECT rbin, COUNT(*) FROM (SELECT ROUND(CAST(q.Score AS FLOAT) / a.maxScore, 1) AS rbin FROM (SELECT ParentId, MAX(Score) AS maxScore FROM Posts WHERE PostTypeId = 2 GROUP BY ParentId) AS a JOIN Posts AS q ON q.Id = a.ParentId WHERE a.maxScore >= '##minTopAnswerScore?5##' AND q.Score >= '##minQuestionScore?0##') AS r ...	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, ...
Name the termination of mission for appointed by of franklin pierce	CREATE TABLE table_68280 ( "Representative" text, "Title" text, "Presentation of credentials" text, "Termination of mission" text, "Appointed by" text )	SELECT "Termination of mission" FROM table_68280 WHERE "Appointed by" = 'franklin pierce'	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 Willinghshain has Reimboldsh of 101?	CREATE TABLE table_name_27 ( willingshain VARCHAR, reimboldsh VARCHAR )	SELECT willingshain FROM table_name_27 WHERE reimboldsh = "101"	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 day did they play the phoenix suns?	CREATE TABLE table_27902171_4 ( date VARCHAR, team VARCHAR )	SELECT date FROM table_27902171_4 WHERE team = "Phoenix Suns"	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 team has an away score of 9.10 (64)?	CREATE TABLE table_54877 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Date" text )	SELECT "Home team" FROM table_54877 WHERE "Away team score" = '9.10 (64)'	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 Draw is the lowest one that has Champs smaller than 0?	CREATE TABLE table_name_40 ( draw INTEGER, champs INTEGER )	SELECT MIN(draw) FROM table_name_40 WHERE champs < 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 is procedure short title and lab test category of subject id 2110?	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 procedures.short_title, lab."CATEGORY" FROM procedures INNER JOIN lab ON procedures.hadm_id = lab.hadm_id WHERE procedures.subject_id = "2110"	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, ...
Who's the Winning team with a Pole position of robby gordon, and a Date of june 11?	CREATE TABLE table_49888 ( "Race Name" text, "Circuit" text, "City/Location" text, "Date" text, "Pole position" text, "Fastest lap" text, "Winning driver" text, "Winning team" text, "Report" text )	SELECT "Winning team" FROM table_49888 WHERE "Pole position" = 'robby gordon' AND "Date" = 'june 11'	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 the id and surname of the driver who participated the most number of races?	CREATE TABLE drivers ( driverid VARCHAR, surname VARCHAR ) CREATE TABLE races ( raceid VARCHAR ) CREATE TABLE results ( driverid VARCHAR, raceid VARCHAR )	SELECT T1.driverid, T1.surname FROM drivers AS T1 JOIN results AS T2 ON T1.driverid = T2.driverid JOIN races AS T3 ON T2.raceid = T3.raceid GROUP BY T1.driverid ORDER BY COUNT(*) DESC LIMIT 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, ...
How many rounds have a position of C?	CREATE TABLE table_9416 ( "Round" real, "Pick" real, "Player" text, "Position" text, "Nationality" text, "School/Club Team" text )	SELECT COUNT("Round") FROM table_9416 WHERE "Position" = 'c'	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 five most frequently performed surgeries for patients 30s during this year?	CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number,...	SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age B...	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, ...
give me the number of patients whose admission type is newborn and diagnoses long title is other specified disorders of skin?	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 WHERE demographic.admission_type = "NEWBORN" AND diagnoses.long_title = "Other specified disorders of skin"	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 difference between the total amount of output and input of patient 782 on 03/04/2103?	CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE transfers ( row_id number...	SELECT (SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 782)) AND STRFTIME('%y-%m-%d', inputevents_cv.charttime) = '2103-03-04') - (SELECT...	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 series episode where Segment B is popcorn ?	CREATE TABLE table_19880 ( "Series Ep." text, "Episode" real, "Netflix" text, "Segment A" text, "Segment B" text, "Segment C" text, "Segment D" text )	SELECT "Series Ep." FROM table_19880 WHERE "Segment B" = 'Popcorn'	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 lowest Profits (billion $) which has a Sales (billion $) of 425.7, and a Rank larger than 4?	CREATE TABLE table_name_14 ( profits__billion_ INTEGER, sales__billion_$_ VARCHAR, rank VARCHAR )	SELECT MIN(profits__billion_) AS $_ FROM table_name_14 WHERE sales__billion_$_ = 425.7 AND rank > 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, ...
Visualize a bar chart about the distribution of Sex and the average of Height , and group by attribute Sex, I want to order mean height from high to low order.	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, AVG(Height) FROM people GROUP BY Sex ORDER BY AVG(Height) 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 entries are shown for viewers when the airdate was 26 november 2009?	CREATE TABLE table_24399615_3 ( viewers VARCHAR, airdate VARCHAR )	SELECT COUNT(viewers) FROM table_24399615_3 WHERE airdate = "26 November 2009"	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's the minimal enrollment of any of the schools?	CREATE TABLE table_1969577_3 ( enrollment INTEGER )	SELECT MIN(enrollment) FROM table_1969577_3	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 latest opened year of the team in Glasgow, Scotland?	CREATE TABLE table_name_34 ( opened INTEGER, city VARCHAR )	SELECT MAX(opened) FROM table_name_34 WHERE city = "glasgow, scotland"	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 Score of the Game with a Record of 13 12?	CREATE TABLE table_name_43 ( score VARCHAR, record VARCHAR )	SELECT score FROM table_name_43 WHERE record = "13–12"	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, ...
Pie chart. what are the average ages for male and female students?	CREATE TABLE Allergy_Type ( Allergy VARCHAR(20), AllergyType VARCHAR(20) ) CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20) ) CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER...	SELECT Sex, AVG(Age) FROM Student GROUP BY Sex	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, ...
Who replaced outgoing manager Jos ngel Ziganda?	CREATE TABLE table_21421 ( "Team" text, "Outgoing manager" text, "Manner of departure" text, "Date of vacancy" text, "Replaced by" text, "Date of appointment" text, "Position in table" text )	SELECT "Replaced by" FROM table_21421 WHERE "Outgoing manager" = 'José Ángel Ziganda'	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, ...
I want the highest Grid for Toyota and jarno trulli	CREATE TABLE table_name_95 ( grid INTEGER, constructor VARCHAR, driver VARCHAR )	SELECT MAX(grid) FROM table_name_95 WHERE constructor = "toyota" AND driver = "jarno trulli"	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 Length, when the Title is 'The Way To Your Heart'?	CREATE TABLE table_9112 ( "Title" text, "Lyricist(s)" text, "Composer(s)" text, "Arranger(s)" text, "Length" text )	SELECT "Length" FROM table_9112 WHERE "Title" = 'the way to your heart'	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 Date has Result of 86-87?	CREATE TABLE table_name_58 ( date VARCHAR, result VARCHAR )	SELECT date FROM table_name_58 WHERE result = "86-87"	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 date for circuit of interlagos	CREATE TABLE table_56890 ( "Race" text, "Circuit" text, "Date" text, "Pole position" text, "Fastest lap" text, "Winning driver" text, "Constructor" text, "Tyre" text, "Report" text )	SELECT "Date" FROM table_56890 WHERE "Circuit" = 'interlagos'	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 minimum age of patients whose death status is 0 and discharge location is disc-tran cancer/chldrn h?	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 MIN(demographic.age) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.discharge_location = "DISC-TRAN CANCER/CHLDRN H"	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 Week has an Attendance larger than 65,070?	CREATE TABLE table_65735 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" real )	SELECT MAX("Week") FROM table_65735 WHERE "Attendance" > '65,070'	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 title was release November 17, 2009 in a 16:9 aspect ratio?	CREATE TABLE table_8583 ( "DVD title" text, "Season" text, "Aspect ratio" text, "Episode count" real, "Time length" text, "Release date" text )	SELECT "DVD title" FROM table_8583 WHERE "Aspect ratio" = '16:9' AND "Release date" = 'november 17, 2009'	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 names, ages, and countries of artists, sorted by the year they joined?	CREATE TABLE artist ( artist_id number, name text, country text, year_join number, age number ) CREATE TABLE exhibition_record ( exhibition_id number, date text, attendance number ) CREATE TABLE exhibition ( exhibition_id number, year number, theme text, artist_id numbe...	SELECT name, age, country FROM artist ORDER BY year_join	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 is the Visiting team on december 20?	CREATE TABLE table_71884 ( "Date" text, "Visiting team" text, "Final score" text, "Host team" text, "Stadium" text )	SELECT "Visiting team" FROM table_71884 WHERE "Date" = 'december 20'	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 Date, when Opponent in Final is 'Guy Forget'?	CREATE TABLE table_name_64 ( date VARCHAR, opponent_in_final VARCHAR )	SELECT date FROM table_name_64 WHERE opponent_in_final = "guy forget"	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 pinky's bmi at the reunion?	CREATE TABLE table_4059 ( "Contestant" text, "Age" real, "Height" text, "Starting BMI" text, "Finale BMI" text, "Reunion BMI" text, "Start Weight" text, "Finale Weight" text, "Reunion Weight" text, "lbs lost finale" text, "lbs lost reunion" real )	SELECT "Reunion BMI" FROM table_4059 WHERE "Contestant" = 'Pinky'	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, ...
Where's the location for the opponent James Zikic and 3 rounds?	CREATE TABLE table_name_99 ( location VARCHAR, round VARCHAR, opponent VARCHAR )	SELECT location FROM table_name_99 WHERE round = 3 AND opponent = "james zikic"	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 population of in 2011?	CREATE TABLE table_27898 ( "Settlement" text, "Cyrillic Name" text, "Type" text, "Population (2011)" real, "Largest ethnic group (2002)" text, "Dominant religion (2002)" text )	SELECT COUNT("Population (2011)") FROM table_27898 WHERE "Cyrillic Name" = 'Сурдук'	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 position has 9 podiums?	CREATE TABLE table_2542 ( "Season" real, "Series" text, "Team" text, "Races" real, "Wins" real, "Poles" real, "F/Laps" real, "Podiums" real, "Points" text, "Position" text )	SELECT "Position" FROM table_2542 WHERE "Podiums" = '9'	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 is ranked at the top	CREATE TABLE table_204_41 ( id number, "rank" number, "name" text, "nationality" text, "time" text, "notes" text )	SELECT "name" FROM table_204_41 WHERE id = 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, ...
How many students in 575 ?	CREATE TABLE program_course ( program_id int, course_id int, workload int, category varchar ) CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, ...	SELECT DISTINCT num_enrolled FROM course WHERE department = 'EECS' AND number = 575	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, ...
how many patients whose admission type is emergency and diagnoses long title is other disorders of the pituitary and other syndromes of diencephalohypophyseal origin?	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 = "Other disorders of the pituitary and other syndromes of diencephalohypophyseal origin"	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 emission rating in Mid-Atlantic South for the vehicle that was rated 90 g/mi (56 g/km) in Alaska and 110 g/mi (68 g/km) in California?	CREATE TABLE table_20551 ( "Vehicle" text, "EPA rated All-electric range" text, "EPA rated combined fuel economy" text, "Alaska ( Juneau )" text, "California (San Francisco)" text, "Mid-Atlantic South (Washington, D.C.)" text, "U.S. national average electric mix" text, "Southeast (Atlant...	SELECT "Mid-Atlantic South (Washington, D.C.)" FROM table_20551 WHERE "Alaska ( Juneau )" = '90 g/mi (56 g/km)' AND "California (San Francisco)" = '110 g/mi (68 g/km)'	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 days of hospital stay is greater than 0 and procedure long title is intravenous infusion of clofarabine?	CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, ...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "0" AND procedures.long_title = "Intravenous infusion of clofarabine"	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 are the last names for all scholarship students, and count them by a bar chart, rank by the x-axis in asc.	CREATE TABLE SportsInfo ( StuID INTEGER, SportName VARCHAR(32), HoursPerWeek INTEGER, GamesPlayed INTEGER, OnScholarship VARCHAR(1) ) CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, ...	SELECT LName, COUNT(LName) FROM SportsInfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.OnScholarship = 'Y' GROUP BY LName ORDER BY LName	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 percentages are listed for the election in 1983?	CREATE TABLE table_168482_1 ( _percentage_of_popular_vote VARCHAR, election VARCHAR )	SELECT COUNT(_percentage_of_popular_vote) FROM table_168482_1 WHERE election = 1983	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 year was the aircraft retired when it was replaced by 737-300s?	CREATE TABLE table_name_91 ( retired VARCHAR, notes VARCHAR )	SELECT retired FROM table_name_91 WHERE notes = "replaced by 737-300s"	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 Player that has a To standard of 4?	CREATE TABLE table_name_15 ( player VARCHAR, to_par VARCHAR )	SELECT player FROM table_name_15 WHERE to_par = "–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, ...
How much Drawn has Points 1 of 51, and a Lost larger than 5?	CREATE TABLE table_name_5 ( drawn VARCHAR, points_1 VARCHAR, lost VARCHAR )	SELECT COUNT(drawn) FROM table_name_5 WHERE points_1 = 51 AND lost > 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, ...
Script to identify serial upvoters.	CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text ) CREATE TABLE S...	SELECT Users.Id, Users.Reputation, Badges.Date, Posts.Id AS PostId, Posts.CreationDate AS PostDate, Votes.VoteTypeId AS VoteId FROM Users LEFT JOIN Badges ON Users.Id = Badges.UserId LEFT JOIN Posts ON Users.Id = Posts.OwnerUserId LEFT JOIN Votes ON Posts.Id = Votes.PostId WHERE Badges.Name = 'Mortarboard' AND Votes.Vo...	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 published the most papers in syntactic parsing ?	CREATE TABLE paperfield ( fieldid int, paperid int ) CREATE TABLE author ( authorid int, authorname varchar ) CREATE TABLE paperkeyphrase ( paperid int, keyphraseid int ) CREATE TABLE paperdataset ( paperid int, datasetid int ) CREATE TABLE field ( fieldid int ) CREATE TABLE key...	SELECT DISTINCT COUNT(paper.paperid), writes.authorid FROM keyphrase, paper, paperkeyphrase, writes WHERE keyphrase.keyphrasename = 'syntactic parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.paperid = paper.paperid GROUP BY writes.authorid ORDER BY C...	scholar	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 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, ...
On what date did week 6 occur?	CREATE TABLE table_name_40 ( date VARCHAR, week VARCHAR )	SELECT date FROM table_name_40 WHERE week = 6	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 the driver richard attwood has a constructor of brm, what is the number of laps?	CREATE TABLE table_78505 ( "Driver" text, "Constructor" text, "Laps" real, "Time/Retired" text, "Grid" real )	SELECT "Laps" FROM table_78505 WHERE "Constructor" = 'brm' AND "Driver" = 'richard attwood'	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 of Skeet's rep increase this year comes from old answers of his?.

CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text,...

SELECT YEAR(p.CreationDate) AS "jonsanswerwrittenyear", YEAR(v.CreationDate) AS "votecastyear", COUNT(v.Id) AS "numberofanswers" FROM Votes AS v LEFT OUTER JOIN Posts AS p ON p.Id = v.PostId WHERE VoteTypeId = 2 AND OwnerUserId = 22656 AND YEAR(v.CreationDate) = YEAR(CURRENT_TIMESTAMP()) GROUP BY YEAR(p.CreationDate), ...

sede

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Which player is a wide receiver picked in round 7?

CREATE TABLE table_name_77 ( player VARCHAR, position VARCHAR, round VARCHAR )

SELECT player FROM table_name_77 WHERE position = "wide receiver" AND round = 7

sql_create_context

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Which institution was founded in 1923?

CREATE TABLE table_18975 ( "Institution" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text )

SELECT "Institution" FROM table_18975 WHERE "Founded" = '1923'

wikisql

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What is the population density of the Capital Region of Denmark?

CREATE TABLE table_16278602_1 ( pop_density__per_km²_ VARCHAR, english_name VARCHAR )

SELECT pop_density__per_km²_ FROM table_16278602_1 WHERE english_name = "Capital Region of Denmark"

sql_create_context

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When 2012 is the year what is the winning boat?

CREATE TABLE table_3103 ( "Year" real, "Location" text, "Entries" real, "Winning Boat" text, "Country" text, "Skipper" text )

SELECT "Winning Boat" FROM table_3103 WHERE "Year" = '2012'

wikisql

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how many patients whose discharge location is disch-tran to psych hosp and diagnoses short title is neonatal hypoglycemia?

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 WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND diagnoses.short_title = "Neonatal hypoglycemia"

mimicsql_data

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What is Venue, when Date is 23,24,26,27,28,29 Feb, 1 Mar 1912?

CREATE TABLE table_name_82 ( venue VARCHAR, date VARCHAR )

SELECT venue FROM table_name_82 WHERE date = "23,24,26,27,28,29 feb, 1 mar 1912"

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what is drug type and drug route of drug name calcium acetate?

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

SELECT prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Calcium Acetate"

mimicsql_data

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Which Staying councillors have a New council of 7, and a Previous council larger than 8?

CREATE TABLE table_47341 ( "Party" text, "Previous council" real, "Staying councillors" real, "Seats up for election" real, "Election result" real, "New council" real )

SELECT AVG("Staying councillors") FROM table_47341 WHERE "New council" = '7' AND "Previous council" > '8'

wikisql

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Find the name of the department that has no students minored in?

CREATE TABLE MINOR_IN ( DNO VARCHAR ) CREATE TABLE DEPARTMENT ( DName VARCHAR, DNO VARCHAR )

SELECT DName FROM DEPARTMENT EXCEPT SELECT T1.DName FROM DEPARTMENT AS T1 JOIN MINOR_IN AS T2 ON T1.DNO = T2.DNO

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does DL fly from BOSTON to WASHINGTON

CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TAB...

SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((flight.airline_code = 'DL') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'WASHINGTON' AND flight.to_airport = AIRPORT...

atis

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What was the score in the game on May 11?

CREATE TABLE table_17324 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Series" text )

SELECT "Score" FROM table_17324 WHERE "Date" = 'May 11'

wikisql

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What California city has an active status and a greek designation of established colony?

CREATE TABLE table_60717 ( "Greek Designation" text, "Collegiate Institution" text, "Charter Date" text, "Status" text, "City" text, "U.S. State/District" text )

SELECT "City" FROM table_60717 WHERE "Status" = 'active' AND "U.S. State/District" = 'california' AND "Greek Designation" = 'established colony'

wikisql

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What were the total career titles of the player who led for 5 years?

CREATE TABLE table_23408094_14 ( total_career_titles VARCHAR, span_of_years_led VARCHAR )

SELECT COUNT(total_career_titles) FROM table_23408094_14 WHERE span_of_years_led = 5

sql_create_context

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A stacked bar graph shows the total number of captains categorize by ranks of different classes, could you list in ascending by the x-axis?

CREATE TABLE captain ( Captain_ID int, Name text, Ship_ID int, age text, Class text, Rank text ) CREATE TABLE Ship ( Ship_ID int, Name text, Type text, Built_Year real, Class text, Flag text )

SELECT Class, COUNT(Class) FROM captain GROUP BY Rank, Class ORDER BY Class

nvbench

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For which tournament was the margin of victory 7 strokes?

CREATE TABLE table_name_50 ( tournament VARCHAR, margin_of_victory VARCHAR )

SELECT tournament FROM table_name_50 WHERE margin_of_victory = "7 strokes"

sql_create_context

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Which state has a Percent (2009) of 6.2%?

CREATE TABLE table_name_95 ( state VARCHAR, percent__2009_ VARCHAR )

SELECT state FROM table_name_95 WHERE percent__2009_ = "6.2%"

sql_create_context

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What was the maximum OTL if L is 28?

CREATE TABLE table_73375 ( "Season" text, "League" text, "Division" text, "GP" real, "W" real, "L" real, "T" real, "OTL" real, "SOL" real, "Pts" real, "PCT" text, "GF" real, "GA" real, "PIM" real, "Coach(es)" text, "Result" text )

SELECT MAX("OTL") FROM table_73375 WHERE "L" = '28'

wikisql

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what is the maximum total region with fitzroy being 8047

CREATE TABLE table_17719 ( "Year" real, "Total Region" real, "Rockhampton" real, "Livingstone" real, "Fitzroy" real, "Mt Morgan" real )

SELECT MAX("Total Region") FROM table_17719 WHERE "Fitzroy" = '8047'

wikisql

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How many kills did basobas, florentino have?

CREATE TABLE table_62346 ( "Perpetrator" text, "Location" text, "Country" text, "Killed" real, "Injured" text )

SELECT MAX("Killed") FROM table_62346 WHERE "Perpetrator" = 'basobas, florentino'

wikisql

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Find related tags to a given input tag..

CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDa...

SELECT Tags.TagName AS "tag_name", COUNT(*) AS "number_of_associated_posts" FROM PostTags INNER JOIN Tags ON Tags.Id = PostTags.TagId WHERE PostTags.PostId IN (SELECT DISTINCT PostId FROM PostTags INNER JOIN Tags ON Tags.Id = PostTags.TagId WHERE Tags.TagName = '##TagName:string##') AND Tags.TagName != '##TagName:strin...

sede

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What owner or owners have an operational description?

CREATE TABLE table_55212 ( "Number & Name" text, "Description" text, "Livery" text, "Owner(s)" text, "Date" text )

SELECT "Owner(s)" FROM table_55212 WHERE "Description" = 'operational'

wikisql

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What's the average draw for the song 'stop messin' around'?

CREATE TABLE table_77201 ( "Draw" real, "Artist" text, "Song" text, "Points" real, "Place" text )

SELECT AVG("Draw") FROM table_77201 WHERE "Song" = 'stop messin'' around'

wikisql

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What LINER class has a W.A. of 0-6-0st with a 2 No. Built?

CREATE TABLE table_name_44 ( lner_class VARCHAR, wa VARCHAR, no_built VARCHAR )

SELECT lner_class FROM table_name_44 WHERE wa = "0-6-0st" AND no_built = 2

sql_create_context

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I want to see trend of how many date account opened by date account opened, order by the date_account_opened in descending.

CREATE TABLE Order_Items ( order_item_id INTEGER, order_id INTEGER, product_id INTEGER, product_quantity VARCHAR(50), other_order_item_details VARCHAR(255) ) CREATE TABLE Invoice_Line_Items ( order_item_id INTEGER, invoice_number INTEGER, product_id INTEGER, product_title VARCHAR(80...

SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts ORDER BY date_account_opened DESC

nvbench

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Which institution has a nickname of Blue Hens?

CREATE TABLE table_50251 ( "Institution" text, "Location" text, "Nickname" text, "Enrollment" real, "Established" real )

SELECT "Institution" FROM table_50251 WHERE "Nickname" = 'blue hens'

wikisql

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What is the number drawn when 3 have been lost?

CREATE TABLE table_name_74 ( drawn VARCHAR, lost VARCHAR )

SELECT drawn FROM table_name_74 WHERE lost = "3"

sql_create_context

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elevated serum phenylalanine level ( > 10 mg / dl ) ;

CREATE TABLE table_train_85 ( "id" int, "mini_mental_state_examination_mmse" int, "elevated_serum_phenylalanine" int, "elevated_creatinine" float, "renal_disease" bool, "geriatric_depression_scale_gds" int, "NOUSE" float )

SELECT * FROM table_train_85 WHERE elevated_serum_phenylalanine > 10

criteria2sql

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Who was the visiting team on weeks under 12 and at Sports Authority Field at Mile High?

CREATE TABLE table_68077 ( "Week" real, "Date" text, "Visiting Team" text, "Final Score" text, "Host Team" text, "Stadium" text )

SELECT "Visiting Team" FROM table_68077 WHERE "Week" < '12' AND "Stadium" = 'sports authority field at mile high'

wikisql

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Which Runner(s)-up has a Winning score of 8 (68-68-72-72=280)?

CREATE TABLE table_name_26 ( runner_s__up VARCHAR, winning_score VARCHAR )

SELECT runner_s__up FROM table_name_26 WHERE winning_score = –8(68 - 68 - 72 - 72 = 280)

sql_create_context

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patient troy friedman was hospitalized for how many days?

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 prescriptions...

SELECT demographic.days_stay FROM demographic WHERE demographic.name = "Troy Friedman"

mimicsql_data

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give me the number of patients whose diagnoses short title is arthropathy nos-unspec and drug route is po/ng?

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 = "Arthropathy NOS-unspec" AND prescriptions.route = "PO/NG"

mimicsql_data

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what are the four most common drugs prescribed to the cardiomyopathy - dilated male patients of the 30s in the same month after they were diagnosed with cardiomyopathy - dilated since 2102?

CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, ...

SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'cardiomyopathy - dilated' AND STRFTIME('%y', diagn...

eicu

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only one team has won more than 10 bronze medals in the biathlon at the winter paralympics . which team is it ?

CREATE TABLE table_204_761 ( id number, "rank" number, "nation" text, "gold" number, "silver" number, "bronze" number, "total" number )

SELECT "nation" FROM table_204_761 WHERE "bronze" > 10

squall

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How many apartment bookings in each day? Show me a line chart grouping by booking end date.

CREATE TABLE Guests ( guest_id INTEGER, gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME ) CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME, available_yn BIT ) CREATE TABLE Apartment_B...

SELECT booking_end_date, COUNT(booking_end_date) FROM Apartment_Bookings GROUP BY booking_end_date

nvbench

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what are the four most frequently ordered specimen test for patients who were diagnosed with fx facial bone nec-close previously within the same month, since 3 years ago?

CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, s...

SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_...

mimic_iii

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when was the first time that patient 85895 had minimum chloride during a month before.

CREATE TABLE d_labitems ( row_id number, itemid number, label text ) 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 prescriptions ( row_id numbe...

SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 85895) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'chloride') AND DATETIME(labevents.charttime, 'start of month') = DATETIME(CURRE...

mimic_iii

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How many students are in each department? Show me a bar chart.

CREATE TABLE prereq ( course_id varchar(8), prereq_id varchar(8) ) CREATE TABLE advisor ( s_ID varchar(5), i_ID varchar(5) ) CREATE TABLE section ( course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), building varchar(15), room_number varchar(7), ...

SELECT T1.dept_name, COUNT(DISTINCT T2.ID) FROM department AS T1 JOIN student AS T2 ON T1.dept_name = T2.dept_name JOIN instructor AS T3 ON T1.dept_name = T3.dept_name

nvbench

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Name the date for mark cavendish

CREATE TABLE table_67822 ( "Stage" text, "Route" text, "Distance" text, "Date" text, "Winner" text )

SELECT "Date" FROM table_67822 WHERE "Winner" = 'mark cavendish'

wikisql

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Name the least spirou

CREATE TABLE table_1190 ( "Title (pages)" text, "Spirou" real, "Writer / Artist" text, "1st publication, Belgium" text, "Integrale" text )

SELECT MIN("Spirou") FROM table_1190

wikisql

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what are the top four most common diagnoses that followed during the same month for patients who were treated with packed cell transfusion in 2103?

CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, v...

SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissi...

mimic_iii

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If the pick is under 28 and the position is k, what's the highest Overall pick?

CREATE TABLE table_name_55 ( overall INTEGER, position VARCHAR, pick VARCHAR )

SELECT MAX(overall) FROM table_name_55 WHERE position = "k" AND pick < 28

sql_create_context

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how many players are from canada ?

CREATE TABLE table_203_455 ( id number, "round" number, "#" number, "player" text, "nationality" text, "college/junior/club team (league)" text )

SELECT COUNT("player") FROM table_203_455 WHERE "nationality" = 'canada'

squall

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how many hours has elapsed since the first time that patient 006-105495 took a volume (ml) dobutamine intake on the current intensive care unit visit?

CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE patient ( uniquep...

SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', 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 ...

eicu

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How many times is tries 0 and appearance less than 0?

CREATE TABLE table_name_51 ( points VARCHAR, tries VARCHAR, appearance VARCHAR )

SELECT COUNT(points) FROM table_name_51 WHERE tries = 0 AND appearance < 0

sql_create_context

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what is average age of patients whose admission location is emergency room admit and days of hospital stay is 13?

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 AVG(demographic.age) FROM demographic WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND demographic.days_stay = "13"

mimicsql_data

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How many players were with the school or club team La Salle?

CREATE TABLE table_10015132_2 ( player VARCHAR, school_club_team VARCHAR )

SELECT COUNT(player) FROM table_10015132_2 WHERE school_club_team = "La Salle"

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How many linkedin have Facebook as the site, with a myspace less than 64?

CREATE TABLE table_name_79 ( linkedin VARCHAR, site VARCHAR, myspace VARCHAR )

SELECT COUNT(linkedin) FROM table_name_79 WHERE site = "facebook" AND myspace < 64

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how many male patients are less than 55 years of age?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.age < "55"

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Which Top-5 is the lowest one that has Cuts made of 10, and Events larger than 10?

CREATE TABLE table_35982 ( "Tournament" text, "Wins" real, "Top-5" real, "Top-10" real, "Top-25" real, "Events" real, "Cuts made" real )

SELECT MIN("Top-5") FROM table_35982 WHERE "Cuts made" = '10' AND "Events" > '10'

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question score vs top answer score.

CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDa...

SELECT rbin, COUNT(*) FROM (SELECT ROUND(CAST(q.Score AS FLOAT) / a.maxScore, 1) AS rbin FROM (SELECT ParentId, MAX(Score) AS maxScore FROM Posts WHERE PostTypeId = 2 GROUP BY ParentId) AS a JOIN Posts AS q ON q.Id = a.ParentId WHERE a.maxScore >= '##minTopAnswerScore?5##' AND q.Score >= '##minQuestionScore?0##') AS r ...

sede

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Name the termination of mission for appointed by of franklin pierce

CREATE TABLE table_68280 ( "Representative" text, "Title" text, "Presentation of credentials" text, "Termination of mission" text, "Appointed by" text )

SELECT "Termination of mission" FROM table_68280 WHERE "Appointed by" = 'franklin pierce'

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What Willinghshain has Reimboldsh of 101?

CREATE TABLE table_name_27 ( willingshain VARCHAR, reimboldsh VARCHAR )

SELECT willingshain FROM table_name_27 WHERE reimboldsh = "101"

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What day did they play the phoenix suns?

CREATE TABLE table_27902171_4 ( date VARCHAR, team VARCHAR )

SELECT date FROM table_27902171_4 WHERE team = "Phoenix Suns"

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Which team has an away score of 9.10 (64)?

CREATE TABLE table_54877 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Date" text )

SELECT "Home team" FROM table_54877 WHERE "Away team score" = '9.10 (64)'

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Which Draw is the lowest one that has Champs smaller than 0?

CREATE TABLE table_name_40 ( draw INTEGER, champs INTEGER )

SELECT MIN(draw) FROM table_name_40 WHERE champs < 0

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what is procedure short title and lab test category of subject id 2110?

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 procedures.short_title, lab."CATEGORY" FROM procedures INNER JOIN lab ON procedures.hadm_id = lab.hadm_id WHERE procedures.subject_id = "2110"

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Who's the Winning team with a Pole position of robby gordon, and a Date of june 11?

CREATE TABLE table_49888 ( "Race Name" text, "Circuit" text, "City/Location" text, "Date" text, "Pole position" text, "Fastest lap" text, "Winning driver" text, "Winning team" text, "Report" text )

SELECT "Winning team" FROM table_49888 WHERE "Pole position" = 'robby gordon' AND "Date" = 'june 11'

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Find the id and surname of the driver who participated the most number of races?

CREATE TABLE drivers ( driverid VARCHAR, surname VARCHAR ) CREATE TABLE races ( raceid VARCHAR ) CREATE TABLE results ( driverid VARCHAR, raceid VARCHAR )

SELECT T1.driverid, T1.surname FROM drivers AS T1 JOIN results AS T2 ON T1.driverid = T2.driverid JOIN races AS T3 ON T2.raceid = T3.raceid GROUP BY T1.driverid ORDER BY COUNT(*) DESC LIMIT 1

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How many rounds have a position of C?

CREATE TABLE table_9416 ( "Round" real, "Pick" real, "Player" text, "Position" text, "Nationality" text, "School/Club Team" text )

SELECT COUNT("Round") FROM table_9416 WHERE "Position" = 'c'

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what are the five most frequently performed surgeries for patients 30s during this year?

CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number,...

SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age B...

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give me the number of patients whose admission type is newborn and diagnoses long title is other specified disorders of skin?

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 WHERE demographic.admission_type = "NEWBORN" AND diagnoses.long_title = "Other specified disorders of skin"

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what was the difference between the total amount of output and input of patient 782 on 03/04/2103?

CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE transfers ( row_id number...

SELECT (SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 782)) AND STRFTIME('%y-%m-%d', inputevents_cv.charttime) = '2103-03-04') - (SELECT...

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What is the series episode where Segment B is popcorn ?

CREATE TABLE table_19880 ( "Series Ep." text, "Episode" real, "Netflix" text, "Segment A" text, "Segment B" text, "Segment C" text, "Segment D" text )

SELECT "Series Ep." FROM table_19880 WHERE "Segment B" = 'Popcorn'

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Name the lowest Profits (billion $) which has a Sales (billion $) of 425.7, and a Rank larger than 4?

CREATE TABLE table_name_14 ( profits__billion_ INTEGER, sales__billion_$_ VARCHAR, rank VARCHAR )

SELECT MIN(profits__billion_) AS $_ FROM table_name_14 WHERE sales__billion_$_ = 425.7 AND rank > 4

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Visualize a bar chart about the distribution of Sex and the average of Height , and group by attribute Sex, I want to order mean height from high to low order.

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, AVG(Height) FROM people GROUP BY Sex ORDER BY AVG(Height) DESC

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How many entries are shown for viewers when the airdate was 26 november 2009?

CREATE TABLE table_24399615_3 ( viewers VARCHAR, airdate VARCHAR )

SELECT COUNT(viewers) FROM table_24399615_3 WHERE airdate = "26 November 2009"

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What's the minimal enrollment of any of the schools?

CREATE TABLE table_1969577_3 ( enrollment INTEGER )

SELECT MIN(enrollment) FROM table_1969577_3

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What is the latest opened year of the team in Glasgow, Scotland?

CREATE TABLE table_name_34 ( opened INTEGER, city VARCHAR )

SELECT MAX(opened) FROM table_name_34 WHERE city = "glasgow, scotland"

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What is the Score of the Game with a Record of 13 12?

CREATE TABLE table_name_43 ( score VARCHAR, record VARCHAR )

SELECT score FROM table_name_43 WHERE record = "13–12"

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Pie chart. what are the average ages for male and female students?

CREATE TABLE Allergy_Type ( Allergy VARCHAR(20), AllergyType VARCHAR(20) ) CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20) ) CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER...

SELECT Sex, AVG(Age) FROM Student GROUP BY Sex

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Who replaced outgoing manager Jos ngel Ziganda?

CREATE TABLE table_21421 ( "Team" text, "Outgoing manager" text, "Manner of departure" text, "Date of vacancy" text, "Replaced by" text, "Date of appointment" text, "Position in table" text )

SELECT "Replaced by" FROM table_21421 WHERE "Outgoing manager" = 'José Ángel Ziganda'

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I want the highest Grid for Toyota and jarno trulli

CREATE TABLE table_name_95 ( grid INTEGER, constructor VARCHAR, driver VARCHAR )

SELECT MAX(grid) FROM table_name_95 WHERE constructor = "toyota" AND driver = "jarno trulli"

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What is the Length, when the Title is 'The Way To Your Heart'?

CREATE TABLE table_9112 ( "Title" text, "Lyricist(s)" text, "Composer(s)" text, "Arranger(s)" text, "Length" text )

SELECT "Length" FROM table_9112 WHERE "Title" = 'the way to your heart'

wikisql

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Which Date has Result of 86-87?

CREATE TABLE table_name_58 ( date VARCHAR, result VARCHAR )

SELECT date FROM table_name_58 WHERE result = "86-87"

sql_create_context

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Name the date for circuit of interlagos

CREATE TABLE table_56890 ( "Race" text, "Circuit" text, "Date" text, "Pole position" text, "Fastest lap" text, "Winning driver" text, "Constructor" text, "Tyre" text, "Report" text )

SELECT "Date" FROM table_56890 WHERE "Circuit" = 'interlagos'

wikisql

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what is minimum age of patients whose death status is 0 and discharge location is disc-tran cancer/chldrn h?

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 MIN(demographic.age) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.discharge_location = "DISC-TRAN CANCER/CHLDRN H"

mimicsql_data

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Which Week has an Attendance larger than 65,070?

CREATE TABLE table_65735 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" real )

SELECT MAX("Week") FROM table_65735 WHERE "Attendance" > '65,070'

wikisql

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What title was release November 17, 2009 in a 16:9 aspect ratio?

CREATE TABLE table_8583 ( "DVD title" text, "Season" text, "Aspect ratio" text, "Episode count" real, "Time length" text, "Release date" text )

SELECT "DVD title" FROM table_8583 WHERE "Aspect ratio" = '16:9' AND "Release date" = 'november 17, 2009'

wikisql

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What are the names, ages, and countries of artists, sorted by the year they joined?

CREATE TABLE artist ( artist_id number, name text, country text, year_join number, age number ) CREATE TABLE exhibition_record ( exhibition_id number, date text, attendance number ) CREATE TABLE exhibition ( exhibition_id number, year number, theme text, artist_id numbe...

SELECT name, age, country FROM artist ORDER BY year_join

spider

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Who is the Visiting team on december 20?

CREATE TABLE table_71884 ( "Date" text, "Visiting team" text, "Final score" text, "Host team" text, "Stadium" text )

SELECT "Visiting team" FROM table_71884 WHERE "Date" = 'december 20'

wikisql

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What is Date, when Opponent in Final is 'Guy Forget'?

CREATE TABLE table_name_64 ( date VARCHAR, opponent_in_final VARCHAR )

SELECT date FROM table_name_64 WHERE opponent_in_final = "guy forget"

sql_create_context

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What was pinky's bmi at the reunion?

CREATE TABLE table_4059 ( "Contestant" text, "Age" real, "Height" text, "Starting BMI" text, "Finale BMI" text, "Reunion BMI" text, "Start Weight" text, "Finale Weight" text, "Reunion Weight" text, "lbs lost finale" text, "lbs lost reunion" real )

SELECT "Reunion BMI" FROM table_4059 WHERE "Contestant" = 'Pinky'

wikisql

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Where's the location for the opponent James Zikic and 3 rounds?

CREATE TABLE table_name_99 ( location VARCHAR, round VARCHAR, opponent VARCHAR )

SELECT location FROM table_name_99 WHERE round = 3 AND opponent = "james zikic"

sql_create_context

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What was the population of in 2011?

CREATE TABLE table_27898 ( "Settlement" text, "Cyrillic Name" text, "Type" text, "Population (2011)" real, "Largest ethnic group (2002)" text, "Dominant religion (2002)" text )

SELECT COUNT("Population (2011)") FROM table_27898 WHERE "Cyrillic Name" = 'Сурдук'

wikisql

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Which position has 9 podiums?

CREATE TABLE table_2542 ( "Season" real, "Series" text, "Team" text, "Races" real, "Wins" real, "Poles" real, "F/Laps" real, "Podiums" real, "Points" text, "Position" text )

SELECT "Position" FROM table_2542 WHERE "Podiums" = '9'

wikisql

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who is ranked at the top

CREATE TABLE table_204_41 ( id number, "rank" number, "name" text, "nationality" text, "time" text, "notes" text )

SELECT "name" FROM table_204_41 WHERE id = 1

squall

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How many students in 575 ?

CREATE TABLE program_course ( program_id int, course_id int, workload int, category varchar ) CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, ...

SELECT DISTINCT num_enrolled FROM course WHERE department = 'EECS' AND number = 575

advising

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how many patients whose admission type is emergency and diagnoses long title is other disorders of the pituitary and other syndromes of diencephalohypophyseal origin?

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 = "Other disorders of the pituitary and other syndromes of diencephalohypophyseal origin"

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What was the emission rating in Mid-Atlantic South for the vehicle that was rated 90 g/mi (56 g/km) in Alaska and 110 g/mi (68 g/km) in California?

CREATE TABLE table_20551 ( "Vehicle" text, "EPA rated All-electric range" text, "EPA rated combined fuel economy" text, "Alaska ( Juneau )" text, "California (San Francisco)" text, "Mid-Atlantic South (Washington, D.C.)" text, "U.S. national average electric mix" text, "Southeast (Atlant...

SELECT "Mid-Atlantic South (Washington, D.C.)" FROM table_20551 WHERE "Alaska ( Juneau )" = '90 g/mi (56 g/km)' AND "California (San Francisco)" = '110 g/mi (68 g/km)'

wikisql

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count the number of patients whose days of hospital stay is greater than 0 and procedure long title is intravenous infusion of clofarabine?

CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, ...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "0" AND procedures.long_title = "Intravenous infusion of clofarabine"

mimicsql_data

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What are the last names for all scholarship students, and count them by a bar chart, rank by the x-axis in asc.

CREATE TABLE SportsInfo ( StuID INTEGER, SportName VARCHAR(32), HoursPerWeek INTEGER, GamesPlayed INTEGER, OnScholarship VARCHAR(1) ) CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, ...

SELECT LName, COUNT(LName) FROM SportsInfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.OnScholarship = 'Y' GROUP BY LName ORDER BY LName

nvbench

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How many percentages are listed for the election in 1983?

CREATE TABLE table_168482_1 ( _percentage_of_popular_vote VARCHAR, election VARCHAR )

SELECT COUNT(_percentage_of_popular_vote) FROM table_168482_1 WHERE election = 1983

sql_create_context

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What year was the aircraft retired when it was replaced by 737-300s?

CREATE TABLE table_name_91 ( retired VARCHAR, notes VARCHAR )

SELECT retired FROM table_name_91 WHERE notes = "replaced by 737-300s"

sql_create_context

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What is the Player that has a To standard of 4?

CREATE TABLE table_name_15 ( player VARCHAR, to_par VARCHAR )

SELECT player FROM table_name_15 WHERE to_par = "–4"

sql_create_context

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How much Drawn has Points 1 of 51, and a Lost larger than 5?

CREATE TABLE table_name_5 ( drawn VARCHAR, points_1 VARCHAR, lost VARCHAR )

SELECT COUNT(drawn) FROM table_name_5 WHERE points_1 = 51 AND lost > 5

sql_create_context

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Script to identify serial upvoters.

CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text ) CREATE TABLE S...

SELECT Users.Id, Users.Reputation, Badges.Date, Posts.Id AS PostId, Posts.CreationDate AS PostDate, Votes.VoteTypeId AS VoteId FROM Users LEFT JOIN Badges ON Users.Id = Badges.UserId LEFT JOIN Posts ON Users.Id = Posts.OwnerUserId LEFT JOIN Votes ON Posts.Id = Votes.PostId WHERE Badges.Name = 'Mortarboard' AND Votes.Vo...

sede

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who published the most papers in syntactic parsing ?

CREATE TABLE paperfield ( fieldid int, paperid int ) CREATE TABLE author ( authorid int, authorname varchar ) CREATE TABLE paperkeyphrase ( paperid int, keyphraseid int ) CREATE TABLE paperdataset ( paperid int, datasetid int ) CREATE TABLE field ( fieldid int ) CREATE TABLE key...

SELECT DISTINCT COUNT(paper.paperid), writes.authorid FROM keyphrase, paper, paperkeyphrase, writes WHERE keyphrase.keyphrasename = 'syntactic parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.paperid = paper.paperid GROUP BY writes.authorid ORDER BY C...

scholar

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On what date did week 6 occur?

CREATE TABLE table_name_40 ( date VARCHAR, week VARCHAR )

SELECT date FROM table_name_40 WHERE week = 6

sql_create_context

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When the driver richard attwood has a constructor of brm, what is the number of laps?

CREATE TABLE table_78505 ( "Driver" text, "Constructor" text, "Laps" real, "Time/Retired" text, "Grid" real )

SELECT "Laps" FROM table_78505 WHERE "Constructor" = 'brm' AND "Driver" = 'richard attwood'

wikisql

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