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

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What is the to par for Fred Couples when the score is 68-66=134?	CREATE TABLE table_62404 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )	SELECT "To par" FROM table_62404 WHERE "Score" = '68-66=134' AND "Player" = 'fred couples'	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 won the Northumberland Senior Benevolent Bowl, when the Northumberland Minor Cup was won by Whitley Bay 'a'?	CREATE TABLE table_name_25 ( northumberland_senior_benevolent_bowl VARCHAR, northumberland_minor_cup VARCHAR )	SELECT northumberland_senior_benevolent_bowl FROM table_name_25 WHERE northumberland_minor_cup = "whitley bay 'a'"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
who played for the most years ?	CREATE TABLE table_204_177 ( id number, "player" text, "years played" text, "total w-l" text, "singles w-l" text, "doubles w-l" text )	SELECT "player" FROM table_204_177 ORDER BY "years played" DESC LIMIT 1	squall	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Points, when Drawn is '1', and when Lost is '5'?	CREATE TABLE table_46998 ( "Club" text, "Played" text, "Drawn" text, "Lost" text, "Points for" text, "Points against" text, "Tries for" text, "Tries against" text, "Try bonus" text, "Losing bonus" text, "Points" text )	SELECT "Points" FROM table_46998 WHERE "Drawn" = '1' AND "Lost" = '5'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which circuit did Peter Whitehead win?	CREATE TABLE table_48458 ( "Year" text, "Date" text, "Circuit" text, "Winning driver" text, "Winning constructor" text, "Report" text )	SELECT "Circuit" FROM table_48458 WHERE "Winning driver" = 'peter whitehead'	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 low was the San Juan income?	CREATE TABLE table_18871 ( "District" text, "2010 Population (000)" real, "2008 GDP (USD bn) a" text, "2008 GDP per capita (USD) a" real, "Agri culture b" text, "Mining b" text, "Manufac turing b" text, "Services & cons truction b" text, "Exports (USD mn) 2011" real, "Median mo. ...	SELECT "Income poverty f" FROM table_18871 WHERE "District" = 'San Juan'	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 model has a CPU speed of 133mhz?	CREATE TABLE table_name_52 ( model VARCHAR, cpu_speed VARCHAR )	SELECT model FROM table_name_52 WHERE cpu_speed = "133mhz"	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, ...
Compute the total population across county name as a pie chart.	CREATE TABLE county ( County_Id int, County_name text, Population real, Zip_code text ) CREATE TABLE party ( Party_ID int, Year real, Party text, Governor text, Lieutenant_Governor text, Comptroller text, Attorney_General text, US_Senate text ) CREATE TABLE election ( ...	SELECT County_name, Population FROM county	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, ...
Create a bar chart showing the total number across city, and I want to order by the bar in ascending.	CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pre...	SELECT city, COUNT(*) FROM station GROUP BY city ORDER BY city	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 points was before game 14?	CREATE TABLE table_name_82 ( points INTEGER, game INTEGER )	SELECT SUM(points) FROM table_name_82 WHERE game < 14	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who had Pole position for the French Grand Prix?	CREATE TABLE table_name_69 ( pole_position VARCHAR, race VARCHAR )	SELECT pole_position FROM table_name_69 WHERE race = "french grand prix"	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 category for 2013	CREATE TABLE table_name_15 ( category VARCHAR, year VARCHAR )	SELECT category FROM table_name_15 WHERE year = "2013"	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 lowest drawn for entries with a lost of 13?	CREATE TABLE table_78890 ( "Position" real, "Team" text, "Played" real, "Drawn" real, "Lost" real, "Goals For" real, "Goals Against" real, "Goal Difference" text, "Points 1" text )	SELECT MIN("Drawn") FROM table_78890 WHERE "Lost" = '13'	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 scored 74-70-67=211 and placed t5?	CREATE TABLE table_46818 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )	SELECT "Player" FROM table_46818 WHERE "Place" = 't5' AND "Score" = '74-70-67=211'	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, ...
Can you tell me the average Total that has the To par smaller than 10, and the Country of south korea?	CREATE TABLE table_name_60 ( total INTEGER, to_par VARCHAR, country VARCHAR )	SELECT AVG(total) FROM table_name_60 WHERE to_par < 10 AND country = "south korea"	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 rider status for the 1971 netherlands team?	CREATE TABLE table_name_77 ( rider_status VARCHAR, team_country VARCHAR, year VARCHAR )	SELECT rider_status FROM table_name_77 WHERE team_country = "netherlands" AND year = 1971	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the highest stage number for a year later than 1948, leader at the summit was group, and finish was Bagn res-De-Bigorre?	CREATE TABLE table_name_36 ( stage INTEGER, finish VARCHAR, year VARCHAR, leader_at_the_summit VARCHAR )	SELECT MAX(stage) FROM table_name_36 WHERE year > 1948 AND leader_at_the_summit = "group" AND finish = "bagnères-de-bigorre"	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, ...
Users With the Highest Quality Posts (filter num posts). Enter the minimum number of posts that a user must have, and this will show the users who have the highest reputation per post in that group.	CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDat...	SELECT Id AS "user_link", Reputation, Reputation * 1.0 / C.Cnt AS "rep_per_post" FROM Users AS U INNER JOIN (SELECT OwnerUserId, Cnt = COUNT() FROM Posts GROUP BY OwnerUserId HAVING COUNT() >= '##MinNumberOfPosts##') AS C ON U.Id = C.OwnerUserId ORDER BY 'rep_per_post' DESC	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 are the ids of all products that were either ordered more than 3 times or have a cumulative amount purchased of above 80000?	CREATE TABLE order_items ( order_item_id number, order_id number, product_id number ) CREATE TABLE customer_addresses ( customer_id number, address_id number, date_from time, date_to time ) CREATE TABLE staff ( staff_id number, staff_gender text, staff_name text ) CREATE TABLE...	SELECT product_id FROM order_items GROUP BY product_id HAVING COUNT(*) > 3 UNION SELECT product_id FROM product_suppliers GROUP BY product_id HAVING SUM(total_amount_purchased) > 80000	spider	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How often does the class YIDDISH 531 meet ?	CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_...	SELECT DISTINCT course_offering.friday, course_offering.monday, course_offering.saturday, course_offering.sunday, course_offering.thursday, course_offering.tuesday, course_offering.wednesday FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_i...	advising	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the away team that scored 63-69?	CREATE TABLE table_44706 ( "Date" text, "Home team" text, "Score" text, "Away team" text, "Venue" text, "Box Score" text, "Report" text )	SELECT "Away team" FROM table_44706 WHERE "Score" = '63-69'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Show me the total number by outcome code in a histogram, and sort by the bar in descending.	CREATE TABLE Premises ( premise_id INTEGER, premises_type VARCHAR(15), premise_details VARCHAR(255) ) CREATE TABLE Mailshot_Campaigns ( mailshot_id INTEGER, product_category VARCHAR(15), mailshot_name VARCHAR(80), mailshot_start_date DATETIME, mailshot_end_date DATETIME ) CREATE TABLE ...	SELECT outcome_code, COUNT(*) FROM Mailshot_Customers GROUP BY outcome_code ORDER BY outcome_code 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, ...
Show each author and the number of workshops they submitted to Show bar chart, show in asc by the total number.	CREATE TABLE Acceptance ( Submission_ID int, Workshop_ID int, Result text ) CREATE TABLE workshop ( Workshop_ID int, Date text, Venue text, Name text ) CREATE TABLE submission ( Submission_ID int, Scores real, Author text, College text )	SELECT Author, COUNT(DISTINCT T1.Workshop_ID) FROM Acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID ORDER BY COUNT(DISTINCT T1.Workshop_ID)	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 patients were admitted in emergency for hemodialysis?	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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.long_title = "Hemodialysis"	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 was the winning team before 1956 on October 21?	CREATE TABLE table_name_43 ( winner VARCHAR, year VARCHAR, date VARCHAR )	SELECT winner FROM table_name_43 WHERE year < 1956 AND date = "october 21"	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 Score is the lowest one that has a Year of 1868?	CREATE TABLE table_5402 ( "Score" real, "Opposition" text, "Venue" text, "City" text, "Year" real )	SELECT MIN("Score") FROM table_5402 WHERE "Year" = '1868'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
List the location and number of fans in attendance for game 7/	CREATE TABLE table_22822559_4 ( location_attendance VARCHAR, game VARCHAR )	SELECT COUNT(location_attendance) FROM table_22822559_4 WHERE game = 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, ...
calculate the number of patients who had had a creatinine lab test.	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 medication ( medi...	SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT lab.patientunitstayid FROM lab WHERE lab.labname = 'creatinine')	eicu	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total enrollment of the aa IHSAA class?	CREATE TABLE table_name_61 ( enrollment VARCHAR, ihsaa_class VARCHAR )	SELECT COUNT(enrollment) FROM table_name_61 WHERE ihsaa_class = "aa"	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 record for April 22?	CREATE TABLE table_37464 ( "Date" text, "Visitor" text, "Score" text, "Home" text, "Record" text )	SELECT "Record" FROM table_37464 WHERE "Date" = 'april 22'	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 newborn patients had an oral drug route?	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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "NEWBORN" AND prescriptions.route = "ORAL"	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 was 'The Magic Necklace' written by?	CREATE TABLE table_72725 ( "Series #" real, "Season #" real, "Title" text, "Directed by:" text, "Written by:" text, "Original air date" text )	SELECT "Written by:" FROM table_72725 WHERE "Title" = 'The Magic Necklace'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In what year was the total finals at 10?	CREATE TABLE table_14286908_1 ( year_of_last_win VARCHAR, total_finals VARCHAR )	SELECT year_of_last_win FROM table_14286908_1 WHERE total_finals = 10	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the record after the April 6 game?	CREATE TABLE table_67664 ( "Date" text, "Opponent" text, "Score" text, "Loss" text, "Record" text )	SELECT "Record" FROM table_67664 WHERE "Date" = 'april 6'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
when did the first time patient 027-188709 had a intracranial/cerebral perfusion pressure monitoring - ventriculostomy performed on the current hospital encounter?	CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime...	SELECT treatment.treatmenttime FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-188709' AND patient.hospitaldischargetime IS NULL)) AND treat...	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, ...
tell me the average systemicsystolic of patient 005-87465 on this month/20?	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 AVG(vitalperiodic.systemicsystolic) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-87465')) AND NOT vitalperiodic.systemicsy...	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, ...
Find all users above given reputation.	CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuest...	SELECT Id AS "user_link", Reputation, CreationDate, DisplayName, LastAccessDate FROM Users WHERE (Reputation > '##rep##') AND (DisplayName LIKE '%user%') ORDER BY Reputation	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, ...
get last flight from OAKLAND to SALT LAKE CITY on wednesday or first flight from OAKLAND to SALT LAKE CITY on thursday	CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE restriction ( restriction_c...	SELECT DISTINCT flight_id FROM flight WHERE ((((departure_time = (SELECT MAX(FLIGHTalias1.departure_time) FROM flight AS FLIGHTalias1 WHERE ((FLIGHTalias1.flight_days IN (SELECT DAYSalias1.days_code FROM days AS DAYSalias1 WHERE DAYSalias1.day_name IN (SELECT DATE_DAYalias1.day_name FROM date_day AS DATE_DAYalias1 WHER...	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, ...
Questions for which the accepted answer was posted on the same day they were asked.	CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE Tags ( Id number, TagName text, Cou...	SELECT datasource.SameDayAcceptedAnswer, datasource.TotalQuestions, CAST(datasource.SameDayAcceptedAnswer AS FLOAT) / CAST(datasource.TotalQuestions AS FLOAT) AS Ratio FROM (SELECT COUNT(acceptedresponses.questionid) AS SameDayAcceptedAnswer, allquestions.totalcount AS TotalQuestions FROM (SELECT question.Id AS questio...	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 class has a Team of kouros racing team?	CREATE TABLE table_70228 ( "Year" real, "Team" text, "Co-Drivers" text, "Class" text, "Pos." text, "Class Pos." text )	SELECT "Class" FROM table_70228 WHERE "Team" = 'kouros racing team'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
show me the flights from DAL to other airports	CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE time_interval ( period text...	SELECT DISTINCT flight.flight_id FROM airport, flight WHERE airport.airport_code = 'DAL' AND flight.from_airport = airport.airport_code	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 are the different pilot names who had piloted a flight in the country 'United States' or in the airport named 'Billund Airport'?	CREATE TABLE airport ( id VARCHAR, country VARCHAR, name VARCHAR ) CREATE TABLE flight ( pilot VARCHAR, airport_id VARCHAR )	SELECT DISTINCT T2.pilot FROM airport AS T1 JOIN flight AS T2 ON T1.id = T2.airport_id WHERE T1.country = 'United States' OR T1.name = 'Billund Airport'	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 has the ride flight deck and a rating of less than 5?	CREATE TABLE table_50848 ( "Ride" text, "Year Opened" real, "Ride Manufacturer and Type" text, "Minimum Height" text, "Rating" real )	SELECT COUNT("Year Opened") FROM table_50848 WHERE "Ride" = 'flight deck' AND "Rating" < '5'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many different people directed the episode titled 'Born under a bad sign'?	CREATE TABLE table_1840 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" text, "U.S. viewers (million)" text )	SELECT COUNT("Directed by") FROM table_1840 WHERE "Title" = 'Born Under a Bad Sign'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
which team has made the roll of honor more times in the east region south division : fauldhouse united or newtongrange star ?	CREATE TABLE table_204_428 ( id number, "season" text, "east superleague" text, "east premier league" text, "east region south division" text, "east region central division" text, "east region north division" text )	SELECT "east region south division" FROM table_204_428 WHERE "east region south division" IN ('fauldhouse united', 'newtongrange star') GROUP BY "east region south division" ORDER BY COUNT(*) DESC LIMIT 1	squall	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which city has the missions city of Australia?	CREATE TABLE table_22247 ( "Name" text, "Notability" text, "Reason for Seeking Refuge" text, "Country" text, "City" text, "Missions Country" text, "Start Date" text, "End Date" text, "Resolution" text )	SELECT "City" FROM table_22247 WHERE "Missions Country" = 'Australia'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest drawn that has games less than 7?	CREATE TABLE table_name_83 ( drawn INTEGER, games INTEGER )	SELECT MIN(drawn) FROM table_name_83 WHERE games < 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, ...
Mentioned Ciro Santilli on AboutMe or DisplayName.	CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId n...	SELECT Id AS "user_link", Reputation, DisplayName, AboutMe FROM Users WHERE LOWER(AboutMe) LIKE '%ciro santilli%' OR LOWER(DisplayName) LIKE '%ciro santilli%' OR LOWER(AboutMe) LIKE '%895245%' OR LOWER(DisplayName) LIKE '%895245%' ORDER BY Reputation DESC LIMIT 256	sede	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Team, when Game is '32'?	CREATE TABLE table_name_96 ( team VARCHAR, game VARCHAR )	SELECT team FROM table_name_96 WHERE game = 32	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 one is the top camp on feb. .9	CREATE TABLE table_204_217 ( id number, "camp" text, "div sec\ndivision" text, "admin\ndistrict" text, "9 feb" number, "11 feb" number, "16 feb" number, "25 feb" number, "27 feb" number, "2 mar" number, "4 mar" number, "6 mar" number, "11 mar" number, "13 mar" num...	SELECT "camp" FROM table_204_217 ORDER BY "9 feb" DESC LIMIT 1	squall	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Shooter has Score points of olympic silver medalist?	CREATE TABLE table_name_40 ( shooter VARCHAR, score_points VARCHAR )	SELECT shooter FROM table_name_40 WHERE score_points = "olympic silver medalist"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
count the number of patients who were diagnosed with unarmed fight or brawl within 2 months after being diagnosed with renal & ureteral dis nos in 2102.	CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABL...	SELECT COUNT(DISTINCT t1.subject_id) 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_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'unarmed fight or 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, ...
When the engine is Wasp Jr. T1B2, what is the number needed for takeoff power?	CREATE TABLE table_1123802_1 ( _takeoff VARCHAR, power VARCHAR, engine VARCHAR )	SELECT COUNT(power), _takeoff FROM table_1123802_1 WHERE engine = "Wasp Jr. T1B2"	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 highest amount of Games recorded that have more than 10 assists?	CREATE TABLE table_name_64 ( games INTEGER, assists INTEGER )	SELECT MAX(games) FROM table_name_64 WHERE assists > 10	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the sum of White (%), when Black (%) is less than 5,8, and when Asian or Amerindian (%) is less than 0,2?	CREATE TABLE table_42934 ( "State" text, "White (%)" real, "Brown (%)" real, "Black (%)" real, "Asian or Amerindian (%)" real )	SELECT SUM("White (%)") FROM table_42934 WHERE "Black (%)" < '5,8' AND "Asian or Amerindian (%)" < '0,2'	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 were the guest team wehn the match score was 3:0 (0:2)?	CREATE TABLE table_name_76 ( guest VARCHAR, score__first_match_ VARCHAR )	SELECT guest FROM table_name_76 WHERE score__first_match_ = "3:0 (0:2)"	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 team was the opponent when the score was 7 1?	CREATE TABLE table_name_86 ( opponent VARCHAR, score VARCHAR )	SELECT opponent FROM table_name_86 WHERE score = "7–1"	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, ...
On which surface was the score w/o?	CREATE TABLE table_15135 ( "Outcome" text, "Date" text, "Tournament" text, "Surface" text, "Partner" text, "Opponents" text, "Score" text )	SELECT "Surface" FROM table_15135 WHERE "Score" = 'w/o'	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 clubs are listed in the table ?	CREATE TABLE table_203_581 ( id number, "club" text, "chinese" text, "city" text, "home stadium" text, "capacity" number, "average attendance" number )	SELECT COUNT("club") FROM table_203_581	squall	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the number of patients whose year of birth is less than 2098 and drug name is clonazepam?	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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2098" AND prescriptions.drug = "Clonazepam"	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, ...
Is the Washington Corrections Center for Women (WCCW) a major facility?	CREATE TABLE table_25346763_1 ( Major VARCHAR, facility VARCHAR )	SELECT Major AS facility FROM table_25346763_1 WHERE facility = "Washington Corrections Center for Women (WCCW)"	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 champion has north melbourne as the runner-up?	CREATE TABLE table_12647 ( "Year" real, "Champion" text, "Runner-Up" text, "Score" text, "Venue" text )	SELECT "Champion" FROM table_12647 WHERE "Runner-Up" = 'north melbourne'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Visualize a bar chart for the number of trains for each station by the station network name, I want to list by the y axis from low to high.	CREATE TABLE station ( id int, network_name text, services text, local_authority text ) CREATE TABLE train ( id int, train_number int, name text, origin text, destination text, time text, interval text ) CREATE TABLE weekly_weather ( station_id int, day_of_week text...	SELECT network_name, COUNT() FROM station AS t1 JOIN route AS t2 ON t1.id = t2.station_id GROUP BY t2.station_id ORDER BY COUNT()	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, ...
Give the number of departments with greater than average budget in each building with a bar chart, and order the number of building from low to high order.	CREATE TABLE teaches ( ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0) ) 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), t...	SELECT building, COUNT(building) FROM department WHERE budget > (SELECT AVG(budget) FROM department) GROUP BY building ORDER BY COUNT(building)	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, ...
When 3t7458 is the production code who are the writers?	CREATE TABLE table_19068566_1 ( written_by VARCHAR, production_code VARCHAR )	SELECT written_by FROM table_19068566_1 WHERE production_code = "3T7458"	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 top four most frequent diagnoses since 2103 that patients were diagnosed with within 2 months after receiving contr cerebr arteriogram?	CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, ...	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, ...
What is the week with a date of October 9, 1983, and attendance smaller than 40,492?	CREATE TABLE table_70401 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" real )	SELECT COUNT("Week") FROM table_70401 WHERE "Date" = 'october 9, 1983' AND "Attendance" < '40,492'	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 season was played at Safeco Field, against the Boston Red Sox, with a decision of L?	CREATE TABLE table_name_60 ( season VARCHAR, opponent VARCHAR, location VARCHAR, decision VARCHAR )	SELECT season FROM table_name_60 WHERE location = "safeco field" AND decision = "l" AND opponent = "boston red sox"	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, ...
Bring me the number of patients under 55 years of age who had wbc and other fluid lab test.	CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "55" AND lab.label = "WBC, Other Fluid"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In how many districts is the incumbent Dave E. Satterfield, Jr.	CREATE TABLE table_18639 ( "District" text, "Incumbent" text, "Party" text, "First elected" real, "Result" text, "Candidates" text )	SELECT COUNT("Result") FROM table_18639 WHERE "Incumbent" = 'Dave E. Satterfield, Jr.'	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 four most frequent diagnoses that patients were diagnosed with within 2 months after being diagnosed with prickly heat since 6 years ago?	CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( ...	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, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions...	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, ...
Find the number of the names of swimmers who has a result of 'win'.	CREATE TABLE event ( ID int, Name text, Stadium_ID int, Year text ) CREATE TABLE stadium ( ID int, name text, Capacity int, City text, Country text, Opening_year int ) CREATE TABLE swimmer ( ID int, name text, Nationality text, meter_100 real, meter_200 text...	SELECT name, COUNT(name) FROM swimmer AS t1 JOIN record AS t2 ON t1.ID = t2.Swimmer_ID WHERE Result = 'Win' GROUP BY name	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Among patients admitted before the year 2184, how many of them were on phys referral/normal deli?	CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND demographic.admityear < "2184"	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, ...
Tell me the long for charles frederick	CREATE TABLE table_name_93 ( long VARCHAR, player VARCHAR )	SELECT long FROM table_name_93 WHERE player = "charles frederick"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who is in October when Carina Ragnarsson is in November?	CREATE TABLE table_name_61 ( october VARCHAR, november VARCHAR )	SELECT october FROM table_name_61 WHERE november = "carina ragnarsson"	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 patient 20165's weight the first time until 6 months ago?	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 procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime t...	SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20165)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt'...	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, ...
which building is after the bonds hall ?	CREATE TABLE table_204_240 ( id number, "name" text, "current use" text, "completed" text, "namesake" text, "info" text )	SELECT "name" FROM table_204_240 WHERE id = (SELECT id FROM table_204_240 WHERE "name" = 'bonds hall') + 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 companies that have ever operated a flight for each type? Draw a bar chart, sort from high to low by the Type please.	CREATE TABLE airport ( id int, City text, Country text, IATA text, ICAO text, name text ) CREATE TABLE flight ( id int, Vehicle_Flight_number text, Date text, Pilot text, Velocity real, Altitude real, airport_id int, company_id int ) CREATE TABLE operate_company...	SELECT Type, COUNT(Type) FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id GROUP BY Type ORDER BY Type 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, ...
What is Nationality, when Round is less than 2, and when College/Team is 'CB L'Hospitalet'?	CREATE TABLE table_name_36 ( nationality VARCHAR, round VARCHAR, college_team VARCHAR )	SELECT nationality FROM table_name_36 WHERE round < 2 AND college_team = "cb l'hospitalet"	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 webkit version when the minor version was 3.1.2.?	CREATE TABLE table_26708 ( "Major version" text, "Minor version" text, "WebKit version" text, "Operating System" text, "Release date" text, "Features" text )	SELECT "WebKit version" FROM table_26708 WHERE "Minor version" = '3.1.2'	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 percentage for Russian?	CREATE TABLE table_name_90 ( percentage___percentage_ VARCHAR, language VARCHAR )	SELECT percentage___percentage_ FROM table_name_90 WHERE language = "russian"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
tell me the number of urgent hospital admission patients who were born before 2184.	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 WHERE demographic.admission_type = "URGENT" AND demographic.dob_year < "2184"	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 High rebounds has a Score of w 81-69?	CREATE TABLE table_66226 ( "Game" real, "Date" text, "Opponent" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location" text, "Record" text )	SELECT "High rebounds" FROM table_66226 WHERE "Score" = 'w 81-69'	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 Song has an Issue date(s) of 29 may - 26 june?	CREATE TABLE table_name_17 ( song VARCHAR, issue_date_s_ VARCHAR )	SELECT song FROM table_name_17 WHERE issue_date_s_ = "29 may - 26 june"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
count the number of patients whose marital status is divorced and admission year is less than 2120?	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.marital_status = "DIVORCED" AND demographic.admityear < "2120"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
count the number of patients whose gender is f and age is less than 68?	CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text,...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.age < "68"	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 times does the call sign XEZV appear?	CREATE TABLE table_14670060_1 ( transmitting_from VARCHAR, call_sign VARCHAR )	SELECT COUNT(transmitting_from) FROM table_14670060_1 WHERE call_sign = "XEZV"	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 position does the player from Mississippi state play?	CREATE TABLE table_8813 ( "Round" real, "Pick" real, "Overall" real, "Name" text, "Position" text, "College" text )	SELECT "Position" FROM table_8813 WHERE "College" = 'mississippi state'	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 year has a Schwante smaller than 2.043, an Eichst dt smaller than 848, and a B renklau smaller than 1.262?	CREATE TABLE table_name_30 ( year VARCHAR, bärenklau VARCHAR, schwante VARCHAR, eichstädt VARCHAR )	SELECT COUNT(year) FROM table_name_30 WHERE schwante < 2.043 AND eichstädt < 848 AND bärenklau < 1.262	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, ...
Where did the competition take place that had a 4-2 result?	CREATE TABLE table_name_46 ( venue VARCHAR, result VARCHAR )	SELECT venue FROM table_name_46 WHERE result = "4-2"	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, ...
give the maximum age of patients with medicare insurance whose admission type is elective.	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 MAX(demographic.age) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.insurance = "Medicare"	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, ...
Find the number of students in each department that has the top 3 highest number of students. Show the department address and number of students with a bar chart.	CREATE TABLE STUDENT ( STU_NUM int, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int ) CREATE TABLE CL...	SELECT DEPT_ADDRESS, COUNT() FROM STUDENT AS T1 JOIN DEPARTMENT AS T2 ON T1.DEPT_CODE = T2.DEPT_CODE GROUP BY T1.DEPT_CODE ORDER BY COUNT() DESC LIMIT 3	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 Points have Wins larger than 1?	CREATE TABLE table_name_15 ( points INTEGER, wins INTEGER )	SELECT AVG(points) FROM table_name_15 WHERE wins > 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, ...
Name the district of lawrence j. smith	CREATE TABLE table_1341549_10 ( district VARCHAR, incumbent VARCHAR )	SELECT district FROM table_1341549_10 WHERE incumbent = "Lawrence J. Smith"	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 number of builders for number 96	CREATE TABLE table_21740 ( "Number" text, "Builder" text, "Type" text, "Date built" text, "Heritage" text, "Disposition" text, "Notes" text )	SELECT COUNT("Builder") FROM table_21740 WHERE "Number" = '96'	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, ...
calculate the number of patients for whom urine test was ordered and were admitted on an urgent basis.	CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) C...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "URGENT" AND lab.fluid = "Urine"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the leading scorer of the game with an attendance of 14,096?	CREATE TABLE table_name_97 ( leading_scorer VARCHAR, attendance VARCHAR )	SELECT leading_scorer FROM table_name_97 WHERE attendance = "14,096"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What date is associated with the label Village Records?	CREATE TABLE table_15650 ( "Region" text, "Date" text, "Label" text, "Format" text, "Catalog" text )	SELECT "Date" FROM table_15650 WHERE "Label" = 'village records'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
In what district was the incumbent Michael Bilirakis?	CREATE TABLE table_18269 ( "District" text, "Incumbent" text, "Party" text, "First elected" real, "Result" text, "Candidates" text )	SELECT "District" FROM table_18269 WHERE "Incumbent" = 'Michael Bilirakis'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the highest debut year for player Joe Youlden, with goals larger than 0?	CREATE TABLE table_name_56 ( debut_year INTEGER, player VARCHAR, goals VARCHAR )	SELECT MAX(debut_year) FROM table_name_56 WHERE player = "joe youlden" AND goals > 0	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the to par for Fred Couples when the score is 68-66=134?

CREATE TABLE table_62404 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )

SELECT "To par" FROM table_62404 WHERE "Score" = '68-66=134' AND "Player" = 'fred couples'

wikisql

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Who won the Northumberland Senior Benevolent Bowl, when the Northumberland Minor Cup was won by Whitley Bay 'a'?

CREATE TABLE table_name_25 ( northumberland_senior_benevolent_bowl VARCHAR, northumberland_minor_cup VARCHAR )

SELECT northumberland_senior_benevolent_bowl FROM table_name_25 WHERE northumberland_minor_cup = "whitley bay 'a'"

sql_create_context

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who played for the most years ?

CREATE TABLE table_204_177 ( id number, "player" text, "years played" text, "total w-l" text, "singles w-l" text, "doubles w-l" text )

SELECT "player" FROM table_204_177 ORDER BY "years played" DESC LIMIT 1

squall

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What is Points, when Drawn is '1', and when Lost is '5'?

CREATE TABLE table_46998 ( "Club" text, "Played" text, "Drawn" text, "Lost" text, "Points for" text, "Points against" text, "Tries for" text, "Tries against" text, "Try bonus" text, "Losing bonus" text, "Points" text )

SELECT "Points" FROM table_46998 WHERE "Drawn" = '1' AND "Lost" = '5'

wikisql

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Which circuit did Peter Whitehead win?

CREATE TABLE table_48458 ( "Year" text, "Date" text, "Circuit" text, "Winning driver" text, "Winning constructor" text, "Report" text )

SELECT "Circuit" FROM table_48458 WHERE "Winning driver" = 'peter whitehead'

wikisql

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How low was the San Juan income?

CREATE TABLE table_18871 ( "District" text, "2010 Population (000)" real, "2008 GDP (USD bn) a" text, "2008 GDP per capita (USD) a" real, "Agri culture b" text, "Mining b" text, "Manufac turing b" text, "Services & cons truction b" text, "Exports (USD mn) 2011" real, "Median mo. ...

SELECT "Income poverty f" FROM table_18871 WHERE "District" = 'San Juan'

wikisql

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Which model has a CPU speed of 133mhz?

CREATE TABLE table_name_52 ( model VARCHAR, cpu_speed VARCHAR )

SELECT model FROM table_name_52 WHERE cpu_speed = "133mhz"

sql_create_context

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Compute the total population across county name as a pie chart.

CREATE TABLE county ( County_Id int, County_name text, Population real, Zip_code text ) CREATE TABLE party ( Party_ID int, Year real, Party text, Governor text, Lieutenant_Governor text, Comptroller text, Attorney_General text, US_Senate text ) CREATE TABLE election ( ...

SELECT County_name, Population FROM county

nvbench

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Create a bar chart showing the total number across city, and I want to order by the bar in ascending.

CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pre...

SELECT city, COUNT(*) FROM station GROUP BY city ORDER BY city

nvbench

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How many points was before game 14?

CREATE TABLE table_name_82 ( points INTEGER, game INTEGER )

SELECT SUM(points) FROM table_name_82 WHERE game < 14

sql_create_context

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Who had Pole position for the French Grand Prix?

CREATE TABLE table_name_69 ( pole_position VARCHAR, race VARCHAR )

SELECT pole_position FROM table_name_69 WHERE race = "french grand prix"

sql_create_context

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Name the category for 2013

CREATE TABLE table_name_15 ( category VARCHAR, year VARCHAR )

SELECT category FROM table_name_15 WHERE year = "2013"

sql_create_context

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What is the lowest drawn for entries with a lost of 13?

CREATE TABLE table_78890 ( "Position" real, "Team" text, "Played" real, "Drawn" real, "Lost" real, "Goals For" real, "Goals Against" real, "Goal Difference" text, "Points 1" text )

SELECT MIN("Drawn") FROM table_78890 WHERE "Lost" = '13'

wikisql

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Who scored 74-70-67=211 and placed t5?

CREATE TABLE table_46818 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )

SELECT "Player" FROM table_46818 WHERE "Place" = 't5' AND "Score" = '74-70-67=211'

wikisql

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Can you tell me the average Total that has the To par smaller than 10, and the Country of south korea?

CREATE TABLE table_name_60 ( total INTEGER, to_par VARCHAR, country VARCHAR )

SELECT AVG(total) FROM table_name_60 WHERE to_par < 10 AND country = "south korea"

sql_create_context

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What is the rider status for the 1971 netherlands team?

CREATE TABLE table_name_77 ( rider_status VARCHAR, team_country VARCHAR, year VARCHAR )

SELECT rider_status FROM table_name_77 WHERE team_country = "netherlands" AND year = 1971

sql_create_context

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What is the highest stage number for a year later than 1948, leader at the summit was group, and finish was Bagn res-De-Bigorre?

CREATE TABLE table_name_36 ( stage INTEGER, finish VARCHAR, year VARCHAR, leader_at_the_summit VARCHAR )

SELECT MAX(stage) FROM table_name_36 WHERE year > 1948 AND leader_at_the_summit = "group" AND finish = "bagnères-de-bigorre"

sql_create_context

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Users With the Highest Quality Posts (filter num posts). Enter the minimum number of posts that a user must have, and this will show the users who have the highest reputation per post in that group.

CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDat...

SELECT Id AS "user_link", Reputation, Reputation * 1.0 / C.Cnt AS "rep_per_post" FROM Users AS U INNER JOIN (SELECT OwnerUserId, Cnt = COUNT(*) FROM Posts GROUP BY OwnerUserId HAVING COUNT(*) >= '##MinNumberOfPosts##') AS C ON U.Id = C.OwnerUserId ORDER BY 'rep_per_post' DESC

sede

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What are the ids of all products that were either ordered more than 3 times or have a cumulative amount purchased of above 80000?

CREATE TABLE order_items ( order_item_id number, order_id number, product_id number ) CREATE TABLE customer_addresses ( customer_id number, address_id number, date_from time, date_to time ) CREATE TABLE staff ( staff_id number, staff_gender text, staff_name text ) CREATE TABLE...

SELECT product_id FROM order_items GROUP BY product_id HAVING COUNT(*) > 3 UNION SELECT product_id FROM product_suppliers GROUP BY product_id HAVING SUM(total_amount_purchased) > 80000

spider

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How often does the class YIDDISH 531 meet ?

CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_...

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

advising

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What was the away team that scored 63-69?

CREATE TABLE table_44706 ( "Date" text, "Home team" text, "Score" text, "Away team" text, "Venue" text, "Box Score" text, "Report" text )

SELECT "Away team" FROM table_44706 WHERE "Score" = '63-69'

wikisql

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Show me the total number by outcome code in a histogram, and sort by the bar in descending.

CREATE TABLE Premises ( premise_id INTEGER, premises_type VARCHAR(15), premise_details VARCHAR(255) ) CREATE TABLE Mailshot_Campaigns ( mailshot_id INTEGER, product_category VARCHAR(15), mailshot_name VARCHAR(80), mailshot_start_date DATETIME, mailshot_end_date DATETIME ) CREATE TABLE ...

SELECT outcome_code, COUNT(*) FROM Mailshot_Customers GROUP BY outcome_code ORDER BY outcome_code DESC

nvbench

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Show each author and the number of workshops they submitted to Show bar chart, show in asc by the total number.

CREATE TABLE Acceptance ( Submission_ID int, Workshop_ID int, Result text ) CREATE TABLE workshop ( Workshop_ID int, Date text, Venue text, Name text ) CREATE TABLE submission ( Submission_ID int, Scores real, Author text, College text )

SELECT Author, COUNT(DISTINCT T1.Workshop_ID) FROM Acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID ORDER BY COUNT(DISTINCT T1.Workshop_ID)

nvbench

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how many patients were admitted in emergency for hemodialysis?

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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.long_title = "Hemodialysis"

mimicsql_data

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Who was the winning team before 1956 on October 21?

CREATE TABLE table_name_43 ( winner VARCHAR, year VARCHAR, date VARCHAR )

SELECT winner FROM table_name_43 WHERE year < 1956 AND date = "october 21"

sql_create_context

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Which Score is the lowest one that has a Year of 1868?

CREATE TABLE table_5402 ( "Score" real, "Opposition" text, "Venue" text, "City" text, "Year" real )

SELECT MIN("Score") FROM table_5402 WHERE "Year" = '1868'

wikisql

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List the location and number of fans in attendance for game 7/

CREATE TABLE table_22822559_4 ( location_attendance VARCHAR, game VARCHAR )

SELECT COUNT(location_attendance) FROM table_22822559_4 WHERE game = 7

sql_create_context

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calculate the number of patients who had had a creatinine lab test.

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 medication ( medi...

SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT lab.patientunitstayid FROM lab WHERE lab.labname = 'creatinine')

eicu

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What is the total enrollment of the aa IHSAA class?

CREATE TABLE table_name_61 ( enrollment VARCHAR, ihsaa_class VARCHAR )

SELECT COUNT(enrollment) FROM table_name_61 WHERE ihsaa_class = "aa"

sql_create_context

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What is the record for April 22?

CREATE TABLE table_37464 ( "Date" text, "Visitor" text, "Score" text, "Home" text, "Record" text )

SELECT "Record" FROM table_37464 WHERE "Date" = 'april 22'

wikisql

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how many newborn patients had an oral drug route?

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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "NEWBORN" AND prescriptions.route = "ORAL"

mimicsql_data

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Who was 'The Magic Necklace' written by?

CREATE TABLE table_72725 ( "Series #" real, "Season #" real, "Title" text, "Directed by:" text, "Written by:" text, "Original air date" text )

SELECT "Written by:" FROM table_72725 WHERE "Title" = 'The Magic Necklace'

wikisql

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In what year was the total finals at 10?

CREATE TABLE table_14286908_1 ( year_of_last_win VARCHAR, total_finals VARCHAR )

SELECT year_of_last_win FROM table_14286908_1 WHERE total_finals = 10

sql_create_context

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What is the record after the April 6 game?

CREATE TABLE table_67664 ( "Date" text, "Opponent" text, "Score" text, "Loss" text, "Record" text )

SELECT "Record" FROM table_67664 WHERE "Date" = 'april 6'

wikisql

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when did the first time patient 027-188709 had a intracranial/cerebral perfusion pressure monitoring - ventriculostomy performed on the current hospital encounter?

CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime...

SELECT treatment.treatmenttime FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-188709' AND patient.hospitaldischargetime IS NULL)) AND treat...

eicu

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tell me the average systemicsystolic of patient 005-87465 on this month/20?

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 AVG(vitalperiodic.systemicsystolic) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-87465')) AND NOT vitalperiodic.systemicsy...

eicu

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Find all users above given reputation.

CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuest...

SELECT Id AS "user_link", Reputation, CreationDate, DisplayName, LastAccessDate FROM Users WHERE (Reputation > '##rep##') AND (DisplayName LIKE '%user%') ORDER BY Reputation

sede

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get last flight from OAKLAND to SALT LAKE CITY on wednesday or first flight from OAKLAND to SALT LAKE CITY on thursday

CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE restriction ( restriction_c...

SELECT DISTINCT flight_id FROM flight WHERE ((((departure_time = (SELECT MAX(FLIGHTalias1.departure_time) FROM flight AS FLIGHTalias1 WHERE ((FLIGHTalias1.flight_days IN (SELECT DAYSalias1.days_code FROM days AS DAYSalias1 WHERE DAYSalias1.day_name IN (SELECT DATE_DAYalias1.day_name FROM date_day AS DATE_DAYalias1 WHER...

atis

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Questions for which the accepted answer was posted on the same day they were asked.

CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE Tags ( Id number, TagName text, Cou...

SELECT datasource.SameDayAcceptedAnswer, datasource.TotalQuestions, CAST(datasource.SameDayAcceptedAnswer AS FLOAT) / CAST(datasource.TotalQuestions AS FLOAT) AS Ratio FROM (SELECT COUNT(acceptedresponses.questionid) AS SameDayAcceptedAnswer, allquestions.totalcount AS TotalQuestions FROM (SELECT question.Id AS questio...

sede

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Which class has a Team of kouros racing team?

CREATE TABLE table_70228 ( "Year" real, "Team" text, "Co-Drivers" text, "Class" text, "Pos." text, "Class Pos." text )

SELECT "Class" FROM table_70228 WHERE "Team" = 'kouros racing team'

wikisql

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show me the flights from DAL to other airports

CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE time_interval ( period text...

SELECT DISTINCT flight.flight_id FROM airport, flight WHERE airport.airport_code = 'DAL' AND flight.from_airport = airport.airport_code

atis

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What are the different pilot names who had piloted a flight in the country 'United States' or in the airport named 'Billund Airport'?

CREATE TABLE airport ( id VARCHAR, country VARCHAR, name VARCHAR ) CREATE TABLE flight ( pilot VARCHAR, airport_id VARCHAR )

SELECT DISTINCT T2.pilot FROM airport AS T1 JOIN flight AS T2 ON T1.id = T2.airport_id WHERE T1.country = 'United States' OR T1.name = 'Billund Airport'

sql_create_context

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What year has the ride flight deck and a rating of less than 5?

CREATE TABLE table_50848 ( "Ride" text, "Year Opened" real, "Ride Manufacturer and Type" text, "Minimum Height" text, "Rating" real )

SELECT COUNT("Year Opened") FROM table_50848 WHERE "Ride" = 'flight deck' AND "Rating" < '5'

wikisql

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How many different people directed the episode titled 'Born under a bad sign'?

CREATE TABLE table_1840 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" text, "U.S. viewers (million)" text )

SELECT COUNT("Directed by") FROM table_1840 WHERE "Title" = 'Born Under a Bad Sign'

wikisql

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which team has made the roll of honor more times in the east region south division : fauldhouse united or newtongrange star ?

CREATE TABLE table_204_428 ( id number, "season" text, "east superleague" text, "east premier league" text, "east region south division" text, "east region central division" text, "east region north division" text )

SELECT "east region south division" FROM table_204_428 WHERE "east region south division" IN ('fauldhouse united', 'newtongrange star') GROUP BY "east region south division" ORDER BY COUNT(*) DESC LIMIT 1

squall

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Which city has the missions city of Australia?

CREATE TABLE table_22247 ( "Name" text, "Notability" text, "Reason for Seeking Refuge" text, "Country" text, "City" text, "Missions Country" text, "Start Date" text, "End Date" text, "Resolution" text )

SELECT "City" FROM table_22247 WHERE "Missions Country" = 'Australia'

wikisql

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What is the lowest drawn that has games less than 7?

CREATE TABLE table_name_83 ( drawn INTEGER, games INTEGER )

SELECT MIN(drawn) FROM table_name_83 WHERE games < 7

sql_create_context

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Mentioned Ciro Santilli on AboutMe or DisplayName.

CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId n...

SELECT Id AS "user_link", Reputation, DisplayName, AboutMe FROM Users WHERE LOWER(AboutMe) LIKE '%ciro santilli%' OR LOWER(DisplayName) LIKE '%ciro santilli%' OR LOWER(AboutMe) LIKE '%895245%' OR LOWER(DisplayName) LIKE '%895245%' ORDER BY Reputation DESC LIMIT 256

sede

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What is Team, when Game is '32'?

CREATE TABLE table_name_96 ( team VARCHAR, game VARCHAR )

SELECT team FROM table_name_96 WHERE game = 32

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which one is the top camp on feb. .9

CREATE TABLE table_204_217 ( id number, "camp" text, "div sec\ndivision" text, "admin\ndistrict" text, "9 feb" number, "11 feb" number, "16 feb" number, "25 feb" number, "27 feb" number, "2 mar" number, "4 mar" number, "6 mar" number, "11 mar" number, "13 mar" num...

SELECT "camp" FROM table_204_217 ORDER BY "9 feb" DESC LIMIT 1

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Which Shooter has Score points of olympic silver medalist?

CREATE TABLE table_name_40 ( shooter VARCHAR, score_points VARCHAR )

SELECT shooter FROM table_name_40 WHERE score_points = "olympic silver medalist"

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count the number of patients who were diagnosed with unarmed fight or brawl within 2 months after being diagnosed with renal & ureteral dis nos in 2102.

CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABL...

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When the engine is Wasp Jr. T1B2, what is the number needed for takeoff power?

CREATE TABLE table_1123802_1 ( _takeoff VARCHAR, power VARCHAR, engine VARCHAR )

SELECT COUNT(power), _takeoff FROM table_1123802_1 WHERE engine = "Wasp Jr. T1B2"

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What's the highest amount of Games recorded that have more than 10 assists?

CREATE TABLE table_name_64 ( games INTEGER, assists INTEGER )

SELECT MAX(games) FROM table_name_64 WHERE assists > 10

sql_create_context

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What is the sum of White (%), when Black (%) is less than 5,8, and when Asian or Amerindian (%) is less than 0,2?

CREATE TABLE table_42934 ( "State" text, "White (%)" real, "Brown (%)" real, "Black (%)" real, "Asian or Amerindian (%)" real )

SELECT SUM("White (%)") FROM table_42934 WHERE "Black (%)" < '5,8' AND "Asian or Amerindian (%)" < '0,2'

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Who were the guest team wehn the match score was 3:0 (0:2)?

CREATE TABLE table_name_76 ( guest VARCHAR, score__first_match_ VARCHAR )

SELECT guest FROM table_name_76 WHERE score__first_match_ = "3:0 (0:2)"

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What team was the opponent when the score was 7 1?

CREATE TABLE table_name_86 ( opponent VARCHAR, score VARCHAR )

SELECT opponent FROM table_name_86 WHERE score = "7–1"

sql_create_context

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On which surface was the score w/o?

CREATE TABLE table_15135 ( "Outcome" text, "Date" text, "Tournament" text, "Surface" text, "Partner" text, "Opponents" text, "Score" text )

SELECT "Surface" FROM table_15135 WHERE "Score" = 'w/o'

wikisql

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how many clubs are listed in the table ?

CREATE TABLE table_203_581 ( id number, "club" text, "chinese" text, "city" text, "home stadium" text, "capacity" number, "average attendance" number )

SELECT COUNT("club") FROM table_203_581

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what is the number of patients whose year of birth is less than 2098 and drug name is clonazepam?

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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2098" AND prescriptions.drug = "Clonazepam"

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Is the Washington Corrections Center for Women (WCCW) a major facility?

CREATE TABLE table_25346763_1 ( Major VARCHAR, facility VARCHAR )

SELECT Major AS facility FROM table_25346763_1 WHERE facility = "Washington Corrections Center for Women (WCCW)"

sql_create_context

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What champion has north melbourne as the runner-up?

CREATE TABLE table_12647 ( "Year" real, "Champion" text, "Runner-Up" text, "Score" text, "Venue" text )

SELECT "Champion" FROM table_12647 WHERE "Runner-Up" = 'north melbourne'

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Visualize a bar chart for the number of trains for each station by the station network name, I want to list by the y axis from low to high.

CREATE TABLE station ( id int, network_name text, services text, local_authority text ) CREATE TABLE train ( id int, train_number int, name text, origin text, destination text, time text, interval text ) CREATE TABLE weekly_weather ( station_id int, day_of_week text...

SELECT network_name, COUNT(*) FROM station AS t1 JOIN route AS t2 ON t1.id = t2.station_id GROUP BY t2.station_id ORDER BY COUNT(*)

nvbench

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Give the number of departments with greater than average budget in each building with a bar chart, and order the number of building from low to high order.

CREATE TABLE teaches ( ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0) ) 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), t...

SELECT building, COUNT(building) FROM department WHERE budget > (SELECT AVG(budget) FROM department) GROUP BY building ORDER BY COUNT(building)

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When 3t7458 is the production code who are the writers?

CREATE TABLE table_19068566_1 ( written_by VARCHAR, production_code VARCHAR )

SELECT written_by FROM table_19068566_1 WHERE production_code = "3T7458"

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what was the top four most frequent diagnoses since 2103 that patients were diagnosed with within 2 months after receiving contr cerebr arteriogram?

CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, ...

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...

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What is the week with a date of October 9, 1983, and attendance smaller than 40,492?

CREATE TABLE table_70401 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" real )

SELECT COUNT("Week") FROM table_70401 WHERE "Date" = 'october 9, 1983' AND "Attendance" < '40,492'

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What season was played at Safeco Field, against the Boston Red Sox, with a decision of L?

CREATE TABLE table_name_60 ( season VARCHAR, opponent VARCHAR, location VARCHAR, decision VARCHAR )

SELECT season FROM table_name_60 WHERE location = "safeco field" AND decision = "l" AND opponent = "boston red sox"

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Bring me the number of patients under 55 years of age who had wbc and other fluid lab test.

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "55" AND lab.label = "WBC, Other Fluid"

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In how many districts is the incumbent Dave E. Satterfield, Jr.

CREATE TABLE table_18639 ( "District" text, "Incumbent" text, "Party" text, "First elected" real, "Result" text, "Candidates" text )

SELECT COUNT("Result") FROM table_18639 WHERE "Incumbent" = 'Dave E. Satterfield, Jr.'

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what were the four most frequent diagnoses that patients were diagnosed with within 2 months after being diagnosed with prickly heat since 6 years ago?

CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( ...

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, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions...

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Find the number of the names of swimmers who has a result of 'win'.

CREATE TABLE event ( ID int, Name text, Stadium_ID int, Year text ) CREATE TABLE stadium ( ID int, name text, Capacity int, City text, Country text, Opening_year int ) CREATE TABLE swimmer ( ID int, name text, Nationality text, meter_100 real, meter_200 text...

SELECT name, COUNT(name) FROM swimmer AS t1 JOIN record AS t2 ON t1.ID = t2.Swimmer_ID WHERE Result = 'Win' GROUP BY name

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Among patients admitted before the year 2184, how many of them were on phys referral/normal deli?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND demographic.admityear < "2184"

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Tell me the long for charles frederick

CREATE TABLE table_name_93 ( long VARCHAR, player VARCHAR )

SELECT long FROM table_name_93 WHERE player = "charles frederick"

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Who is in October when Carina Ragnarsson is in November?

CREATE TABLE table_name_61 ( october VARCHAR, november VARCHAR )

SELECT october FROM table_name_61 WHERE november = "carina ragnarsson"

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what was patient 20165's weight the first time until 6 months ago?

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 procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime t...

SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20165)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt'...

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which building is after the bonds hall ?

CREATE TABLE table_204_240 ( id number, "name" text, "current use" text, "completed" text, "namesake" text, "info" text )

SELECT "name" FROM table_204_240 WHERE id = (SELECT id FROM table_204_240 WHERE "name" = 'bonds hall') + 1

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How many companies that have ever operated a flight for each type? Draw a bar chart, sort from high to low by the Type please.

CREATE TABLE airport ( id int, City text, Country text, IATA text, ICAO text, name text ) CREATE TABLE flight ( id int, Vehicle_Flight_number text, Date text, Pilot text, Velocity real, Altitude real, airport_id int, company_id int ) CREATE TABLE operate_company...

SELECT Type, COUNT(Type) FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id GROUP BY Type ORDER BY Type DESC

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What is Nationality, when Round is less than 2, and when College/Team is 'CB L'Hospitalet'?

CREATE TABLE table_name_36 ( nationality VARCHAR, round VARCHAR, college_team VARCHAR )

SELECT nationality FROM table_name_36 WHERE round < 2 AND college_team = "cb l'hospitalet"

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What is the webkit version when the minor version was 3.1.2.?

CREATE TABLE table_26708 ( "Major version" text, "Minor version" text, "WebKit version" text, "Operating System" text, "Release date" text, "Features" text )

SELECT "WebKit version" FROM table_26708 WHERE "Minor version" = '3.1.2'

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What is the percentage for Russian?

CREATE TABLE table_name_90 ( percentage___percentage_ VARCHAR, language VARCHAR )

SELECT percentage___percentage_ FROM table_name_90 WHERE language = "russian"

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tell me the number of urgent hospital admission patients who were born before 2184.

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 WHERE demographic.admission_type = "URGENT" AND demographic.dob_year < "2184"

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Which High rebounds has a Score of w 81-69?

CREATE TABLE table_66226 ( "Game" real, "Date" text, "Opponent" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location" text, "Record" text )

SELECT "High rebounds" FROM table_66226 WHERE "Score" = 'w 81-69'

wikisql

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Which Song has an Issue date(s) of 29 may - 26 june?

CREATE TABLE table_name_17 ( song VARCHAR, issue_date_s_ VARCHAR )

SELECT song FROM table_name_17 WHERE issue_date_s_ = "29 may - 26 june"

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count the number of patients whose marital status is divorced and admission year is less than 2120?

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.marital_status = "DIVORCED" AND demographic.admityear < "2120"

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count the number of patients whose gender is f and age is less than 68?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.age < "68"

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How many times does the call sign XEZV appear?

CREATE TABLE table_14670060_1 ( transmitting_from VARCHAR, call_sign VARCHAR )

SELECT COUNT(transmitting_from) FROM table_14670060_1 WHERE call_sign = "XEZV"

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What position does the player from Mississippi state play?

CREATE TABLE table_8813 ( "Round" real, "Pick" real, "Overall" real, "Name" text, "Position" text, "College" text )

SELECT "Position" FROM table_8813 WHERE "College" = 'mississippi state'

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What year has a Schwante smaller than 2.043, an Eichst dt smaller than 848, and a B renklau smaller than 1.262?

CREATE TABLE table_name_30 ( year VARCHAR, bärenklau VARCHAR, schwante VARCHAR, eichstädt VARCHAR )

SELECT COUNT(year) FROM table_name_30 WHERE schwante < 2.043 AND eichstädt < 848 AND bärenklau < 1.262

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Where did the competition take place that had a 4-2 result?

CREATE TABLE table_name_46 ( venue VARCHAR, result VARCHAR )

SELECT venue FROM table_name_46 WHERE result = "4-2"

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give the maximum age of patients with medicare insurance whose admission type is elective.

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 MAX(demographic.age) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.insurance = "Medicare"

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Find the number of students in each department that has the top 3 highest number of students. Show the department address and number of students with a bar chart.

CREATE TABLE STUDENT ( STU_NUM int, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int ) CREATE TABLE CL...

SELECT DEPT_ADDRESS, COUNT(*) FROM STUDENT AS T1 JOIN DEPARTMENT AS T2 ON T1.DEPT_CODE = T2.DEPT_CODE GROUP BY T1.DEPT_CODE ORDER BY COUNT(*) DESC LIMIT 3

nvbench

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Which Points have Wins larger than 1?

CREATE TABLE table_name_15 ( points INTEGER, wins INTEGER )

SELECT AVG(points) FROM table_name_15 WHERE wins > 1

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Name the district of lawrence j. smith

CREATE TABLE table_1341549_10 ( district VARCHAR, incumbent VARCHAR )

SELECT district FROM table_1341549_10 WHERE incumbent = "Lawrence J. Smith"

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Name the number of builders for number 96

CREATE TABLE table_21740 ( "Number" text, "Builder" text, "Type" text, "Date built" text, "Heritage" text, "Disposition" text, "Notes" text )

SELECT COUNT("Builder") FROM table_21740 WHERE "Number" = '96'

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calculate the number of patients for whom urine test was ordered and were admitted on an urgent basis.

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "URGENT" AND lab.fluid = "Urine"

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What is the leading scorer of the game with an attendance of 14,096?

CREATE TABLE table_name_97 ( leading_scorer VARCHAR, attendance VARCHAR )

SELECT leading_scorer FROM table_name_97 WHERE attendance = "14,096"

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What date is associated with the label Village Records?

CREATE TABLE table_15650 ( "Region" text, "Date" text, "Label" text, "Format" text, "Catalog" text )

SELECT "Date" FROM table_15650 WHERE "Label" = 'village records'

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In what district was the incumbent Michael Bilirakis?

CREATE TABLE table_18269 ( "District" text, "Incumbent" text, "Party" text, "First elected" real, "Result" text, "Candidates" text )

SELECT "District" FROM table_18269 WHERE "Incumbent" = 'Michael Bilirakis'

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What is the highest debut year for player Joe Youlden, with goals larger than 0?

CREATE TABLE table_name_56 ( debut_year INTEGER, player VARCHAR, goals VARCHAR )

SELECT MAX(debut_year) FROM table_name_56 WHERE player = "joe youlden" AND goals > 0

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