NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
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Compare the prices of each manufacturer's most expensive product with a bar chart. | CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
) | SELECT T2.Name, MAX(T1.Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name | [
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Which team has a Home Run of 27? | CREATE TABLE table_70073 (
"Home Run" real,
"Game" real,
"Date" text,
"Inning" text,
"Location" text,
"Opposing Pitcher" text,
"Team" text
) | SELECT "Team" FROM table_70073 WHERE "Home Run" = '27' | [
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What engine had a JBW chassis in 1960? | CREATE TABLE table_14466 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" real
) | SELECT "Engine" FROM table_14466 WHERE "Chassis" = 'jbw' AND "Year" = '1960' | [
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Return a bar chart on what are the allergy types and how many allergies correspond to each one?, and show in descending by the total number please. | CREATE TABLE Allergy_Type (
Allergy VARCHAR(20),
AllergyType VARCHAR(20)
)
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20)
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
) | SELECT AllergyType, COUNT(*) FROM Allergy_Type GROUP BY AllergyType ORDER BY COUNT(*) DESC | [
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In what division was there a population density in km2 of 4,491.8 in 2011? | CREATE TABLE table_26499 (
"Administrative division" text,
"Area (km\u00b2) 2011**" text,
"Population 2001 Census (Adjusted)" real,
"Population 2011 Census (Adjusted)" real,
"Population density (/km\u00b2 2011)" text
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Which Tournament has a Score of 1 6, 0 6? | CREATE TABLE table_6973 (
"Outcome" text,
"Date" text,
"Tournament" text,
"Surface" text,
"Partner" text,
"Opponents" text,
"Score" text
) | SELECT "Tournament" FROM table_6973 WHERE "Score" = '1–6, 0–6' | [
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What is the average that has 441 as wicket? | CREATE TABLE table_name_31 (average VARCHAR, s_wicket VARCHAR) | SELECT average FROM table_name_31 WHERE s_wicket = "441" | [
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What is the difference related to 2 losses and fewer than 10 points? | CREATE TABLE table_name_51 (points_difference VARCHAR, lost VARCHAR, points VARCHAR) | SELECT points_difference FROM table_name_51 WHERE lost = 2 AND points < 10 | [
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What is the frequency of the dates (bin into year interval) that had the top 5 cloud cover rates? You can draw me a bar chart for this purpose, and list by the y-axis from low to high. | CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
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)
CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
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_pressure_inches NUMERIC,
mean_sea_level_pressure_inches NUMERIC,
min_sea_level_pressure_inches NUMERIC,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches INTEGER,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code INTEGER
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What is every team classification when points classification is Philippe Gilbert if mountains classification is Johnny Hoogerland and stage is less than 9.0? | CREATE TABLE table_25999087_2 (team_classification VARCHAR, stage VARCHAR, points_classification VARCHAR, mountains_classification VARCHAR) | SELECT team_classification FROM table_25999087_2 WHERE points_classification = "Philippe Gilbert" AND mountains_classification = "Johnny Hoogerland" AND stage < 9.0 | [
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In what League is the Reed School? | CREATE TABLE table_name_87 (league VARCHAR, school VARCHAR) | SELECT league FROM table_name_87 WHERE school = "reed" | [
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Which date's week was more than 4 with the venue being City Stadium and where the attendance was more than 14,297? | CREATE TABLE table_name_1 (date VARCHAR, attendance VARCHAR, week VARCHAR, venue VARCHAR) | SELECT date FROM table_name_1 WHERE week > 4 AND venue = "city stadium" AND attendance > 14 OFFSET 297 | [
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Retrieve the close dates of all the policies associated with the customer whose name contains 'Diana', bin the close dates into the day of week interval and count them for a bar chart. | CREATE TABLE Customers (
Customer_ID INTEGER,
Customer_name VARCHAR(40)
)
CREATE TABLE Claims (
Claim_ID INTEGER,
FNOL_ID INTEGER,
Effective_Date DATE
)
CREATE TABLE Services (
Service_ID INTEGER,
Service_name VARCHAR(40)
)
CREATE TABLE Settlements (
Settlement_ID INTEGER,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL
)
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER,
Customer_ID INTEGER,
Policy_ID INTEGER,
Service_ID INTEGER
)
CREATE TABLE Available_Policies (
Policy_ID INTEGER,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255)
)
CREATE TABLE Customers_Policies (
Customer_ID INTEGER,
Policy_ID INTEGER,
Date_Opened DATE,
Date_Closed DATE
) | SELECT Date_Closed, COUNT(Date_Closed) FROM Customers AS t1 JOIN Customers_Policies AS t2 ON t1.Customer_ID = t2.Customer_ID WHERE t1.Customer_name LIKE "%Diana%" | [
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Who were the opponents on grass when playing with Mark Woodforde, and the outcome of winner, and a year greater than 1996? | CREATE TABLE table_name_61 (
opponents VARCHAR,
year VARCHAR,
outcome VARCHAR,
surface VARCHAR,
partner VARCHAR
) | SELECT opponents FROM table_name_61 WHERE surface = "grass" AND partner = "mark woodforde" AND outcome = "winner" AND year > 1996 | [
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Which Visitor is listed as having a Date of December 17? | CREATE TABLE table_69994 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Record" text
) | SELECT "Visitor" FROM table_69994 WHERE "Date" = 'december 17' | [
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What is the smoke point with a total fat of 100g, and monounsaturated fat of 46g? | CREATE TABLE table_name_97 (smoke_point VARCHAR, total_fat VARCHAR, monounsaturated_fat VARCHAR) | SELECT smoke_point FROM table_name_97 WHERE total_fat = "100g" AND monounsaturated_fat = "46g" | [
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What is the average February that has 18-26-10 as the record, with a game less than 54? | CREATE TABLE table_50809 (
"Game" real,
"February" real,
"Opponent" text,
"Score" text,
"Record" text
) | SELECT AVG("February") FROM table_50809 WHERE "Record" = '18-26-10' AND "Game" < '54' | [
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Who was the Constructor at the Argentine Grand Prix? | CREATE TABLE table_53247 (
"Race" text,
"Circuit" text,
"Date" text,
"Pole position" text,
"Winning driver" text,
"Constructor" text,
"Tyre" text,
"Report" text
) | SELECT "Constructor" FROM table_53247 WHERE "Race" = 'argentine grand prix' | [
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What season has a league 3rd liga, and away of 1-0? | CREATE TABLE table_name_89 (
season VARCHAR,
league VARCHAR,
away VARCHAR
) | SELECT season FROM table_name_89 WHERE league = "3rd liga" AND away = "1-0" | [
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What rank has a status of proposed, with 80 floors for Celestia Spaces 4? | CREATE TABLE table_64654 (
"Rank" real,
"Name" text,
"Status" text,
"City" text,
"Floors" real
) | SELECT AVG("Rank") FROM table_64654 WHERE "Status" = 'proposed' AND "Floors" = '80' AND "Name" = 'celestia spaces 4' | [
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Name the time with track number less than 4 for you're my everything | CREATE TABLE table_name_58 (time VARCHAR, track_number VARCHAR, song_title VARCHAR) | SELECT time FROM table_name_58 WHERE track_number < 4 AND song_title = "you're my everything" | [
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What is Darrius Heyward-Bey's average with more than 20 yards and less than 80 long? | CREATE TABLE table_name_89 (avg VARCHAR, long VARCHAR, yards VARCHAR, player VARCHAR) | SELECT COUNT(avg) FROM table_name_89 WHERE yards > 20 AND player = "darrius heyward-bey" AND long < 80 | [
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how many overall goals were scored at moses mabhida stadium? | CREATE TABLE table_27708484_3 (
overall_goals_scored INTEGER,
stadium VARCHAR
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How many people attended the game on June 18? | CREATE TABLE table_15287 (
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"Loss" text,
"Attendance" real,
"Record" text
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What is the Sum of ERP W, when Call Sign is K216GA? | CREATE TABLE table_name_49 (erp_w INTEGER, call_sign VARCHAR) | SELECT SUM(erp_w) FROM table_name_49 WHERE call_sign = "k216ga" | [
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What is the largest issue date for an album that reached position of 3? | CREATE TABLE table_61071 (
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"Album Title" text,
"Artist" text,
"Sales" real,
"Highest Position" real
) | SELECT MAX("Issue Date") FROM table_61071 WHERE "Highest Position" = '3' | [
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What's the amount of winnings (in $) in the year with 2 wins? | CREATE TABLE table_1909647_2 (winnings VARCHAR, wins VARCHAR) | SELECT winnings FROM table_1909647_2 WHERE wins = 2 | [
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What is the average duration in milliseconds of tracks that belong to Latin or Pop genre? | CREATE TABLE TRACK (GenreId VARCHAR); CREATE TABLE GENRE (GenreId VARCHAR, Name VARCHAR) | SELECT AVG(Milliseconds) FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId WHERE T1.Name = "Latin" OR T1.Name = "Pop" | [
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What is the lowest episode number where john bird was the 4th performer? | CREATE TABLE table_name_48 (
episode INTEGER,
performer_4 VARCHAR
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Name the most laps for corvette racing in 2004 | CREATE TABLE table_68663 (
"Year" real,
"Team" text,
"Co-Drivers" text,
"Class" text,
"Laps" real,
"Pos." text,
"Class Pos." text
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What is the percentage of the popular vote when there were 90 seats available? | CREATE TABLE table_31610 (
"Year of election" real,
"Candidates elected" real,
"# of seats available" real,
"# of votes" text,
"% of popular vote" text
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What is the lowest points for a time/retired of +30.7 secs, and laps smaller than 165? | CREATE TABLE table_63985 (
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"Team" text,
"Laps" real,
"Time/Retired" text,
"Grid" real,
"Points" real
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When the champion was Gay Brewer Category:Articles with hCards what was the total score? | CREATE TABLE table_name_90 (
total_score VARCHAR,
champion VARCHAR
) | SELECT total_score FROM table_name_90 WHERE champion = "gay brewer category:articles with hcards" | [
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What is the order number for songs by the original artist Luis Fonsi? | CREATE TABLE table_455 (
"Episode" text,
"Theme" text,
"Song choice" text,
"Original artist" text,
"Order #" text,
"Result" text
) | SELECT "Order #" FROM table_455 WHERE "Original artist" = 'Luis Fonsi' | [
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Which Home team score has an Away team of carlton? | CREATE TABLE table_name_72 (home_team VARCHAR, away_team VARCHAR) | SELECT home_team AS score FROM table_name_72 WHERE away_team = "carlton" | [
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patient 012-63427 has received any procedure? | CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
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 treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
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What is the maximum pick when WR was the position and Michigan the college, and the overall greater than 255? | CREATE TABLE table_47802 (
"Round" real,
"Pick" real,
"Overall" real,
"Name" text,
"Position" text,
"College" text
) | SELECT MAX("Pick") FROM table_47802 WHERE "Position" = 'wr' AND "College" = 'michigan' AND "Overall" > '255' | [
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Name the high points for w 90–77 (ot) | CREATE TABLE table_27712180_7 (high_points VARCHAR, score VARCHAR) | SELECT high_points FROM table_27712180_7 WHERE score = "W 90–77 (OT)" | [
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At what venue did the team from Collingwood score 7.14 (56) - 4.5 (29)? | CREATE TABLE table_name_51 (venue VARCHAR, opponent VARCHAR, score VARCHAR) | SELECT venue FROM table_name_51 WHERE opponent = "collingwood" AND score = "7.14 (56) - 4.5 (29)" | [
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What are the zip codes that have an average mean humidity below 70 and had at least 100 trips come through there? | CREATE TABLE trip (
id number,
duration number,
start_date text,
start_station_name text,
start_station_id number,
end_date text,
end_station_name text,
end_station_id number,
bike_id number,
subscription_type text,
zip_code number
)
CREATE TABLE station (
id number,
name text,
lat number,
long number,
dock_count number,
city text,
installation_date text
)
CREATE TABLE weather (
date text,
max_temperature_f number,
mean_temperature_f number,
min_temperature_f number,
max_dew_point_f number,
mean_dew_point_f number,
min_dew_point_f number,
max_humidity number,
mean_humidity number,
min_humidity number,
max_sea_level_pressure_inches number,
mean_sea_level_pressure_inches number,
min_sea_level_pressure_inches number,
max_visibility_miles number,
mean_visibility_miles number,
min_visibility_miles number,
max_wind_speed_mph number,
mean_wind_speed_mph number,
max_gust_speed_mph number,
precipitation_inches number,
cloud_cover number,
events text,
wind_dir_degrees number,
zip_code number
)
CREATE TABLE status (
station_id number,
bikes_available number,
docks_available number,
time text
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what is the posisiotn where the start is 3? | CREATE TABLE table_1708014_2 (position VARCHAR, starts VARCHAR) | SELECT position FROM table_1708014_2 WHERE starts = 3 | [
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What is the NBA draft result of the player from Washington, DC? | CREATE TABLE table_name_97 (nba_draft VARCHAR, hometown VARCHAR) | SELECT nba_draft FROM table_name_97 WHERE hometown = "washington, dc" | [
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What is the total number of To Par, when Money ( $ ) is less than 387, and when Player is 'Al Brosch'? | CREATE TABLE table_name_33 (
to_par VARCHAR,
money___$__ VARCHAR,
player VARCHAR
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Which season had 34 losses? | CREATE TABLE table_name_35 (
season VARCHAR,
losses VARCHAR
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What is the pick with Dean Sears and round larger than 6? | CREATE TABLE table_49447 (
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"Pick" real,
"Player" text,
"Nationality" text,
"School/Club Team" text
) | SELECT MIN("Pick") FROM table_49447 WHERE "Round" > '6' AND "Player" = 'dean sears' | [
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What is every 5-year peak when Emanuel Lasker, 2847 is the 10-year peak? | CREATE TABLE table_21323 (
"Rank" real,
"1-year peak" text,
"5-year peak" text,
"10-year peak" text,
"15-year peak" text,
"20-year peak" text
) | SELECT "5-year peak" FROM table_21323 WHERE "10-year peak" = 'Emanuel Lasker, 2847' | [
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Return a bar chart on how many movie reviews does each director get?, display the total number in ascending order. | CREATE TABLE Movie (
mID int,
title text,
year int,
director text
)
CREATE TABLE Reviewer (
rID int,
name text
)
CREATE TABLE Rating (
rID int,
mID int,
stars int,
ratingDate date
) | SELECT director, COUNT(*) FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID GROUP BY T1.director ORDER BY COUNT(*) | [
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What is the report for round 3? | CREATE TABLE table_1137696_3 (
report VARCHAR,
round VARCHAR
) | SELECT report FROM table_1137696_3 WHERE round = 3 | [
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What country is player ed sneed, who has a to par of +3, from? | CREATE TABLE table_77458 (
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"Player" text,
"Country" text,
"Score" text,
"To par" text
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did jason leffler race for braun racing or michael waltrip racing ? | CREATE TABLE table_203_131 (
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"car #" number,
"driver" text,
"make" text,
"team" text
) | SELECT "team" FROM table_203_131 WHERE "team" IN ('braun racing', 'michael waltrip racing') AND "driver" = 'jason leffler' | [
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What is the rank of the player with less than 34 points? | CREATE TABLE table_41872 (
"Rank" real,
"Name" text,
"Team" text,
"Games" real,
"Points" real
) | SELECT SUM("Rank") FROM table_41872 WHERE "Points" < '34' | [
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which was the first episode to drop the average below 0.60 ? | CREATE TABLE table_204_958 (
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"original broadcast date" text,
"average" number,
"rank" number,
"remarks" text
) | SELECT MIN("episode") FROM table_204_958 WHERE "average" < 0.6 | [
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Name the country for gerrard | CREATE TABLE table_2680 (
"N" real,
"P" text,
"Name" text,
"EU" text,
"Country" text,
"Age" real,
"Type" text,
"Moving from" text,
"Transfer window" text,
"Ends" real,
"Transfer fee" text,
"Source" text
) | SELECT "Country" FROM table_2680 WHERE "Name" = 'Gerrard' | [
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tell the competitions where the mean is 1 | CREATE TABLE table_1354805_6 (average VARCHAR, number_of_dances VARCHAR) | SELECT average FROM table_1354805_6 WHERE number_of_dances = 1 | [
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What was the Royal House for the state of Song? | CREATE TABLE table_46863 (
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"Name" text,
"Title" text,
"Royal house" text,
"From" text
) | SELECT "Royal house" FROM table_46863 WHERE "State" = 'song' | [
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What language is telemarket for you? | CREATE TABLE table_name_3 (
language VARCHAR,
television_service VARCHAR
) | SELECT language FROM table_name_3 WHERE television_service = "telemarket for you" | [
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What is the Interpreter value for an Unami Delaware value of pal naxk? | CREATE TABLE table_52525 (
"Munsee Delaware" text,
"Unami Delaware" text,
"De Laet (1633)" text,
"Campanius (ca. 1645)" text,
"Interpreter (1684?)" text,
"Thomas (1698)" text
) | SELECT "Interpreter (1684?)" FROM table_52525 WHERE "Unami Delaware" = 'palé·naxk' | [
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What is the Set 3 with a Set 2 with 15 6? | CREATE TABLE table_name_58 (
set_3 VARCHAR,
set_2 VARCHAR
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Name the security forces with civilians of 67 | CREATE TABLE table_name_15 (
security_forces VARCHAR,
civilians VARCHAR
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Find all reviews by Patrick with a rating above 4 | CREATE TABLE user (
uid int,
user_id varchar,
name varchar
)
CREATE TABLE checkin (
cid int,
business_id varchar,
count int,
day varchar
)
CREATE TABLE neighborhood (
id int,
business_id varchar,
neighborhood_name varchar
)
CREATE TABLE tip (
tip_id int,
business_id varchar,
text longtext,
user_id varchar,
likes int,
year int,
month varchar
)
CREATE TABLE review (
rid int,
business_id varchar,
user_id varchar,
rating float,
text longtext,
year int,
month varchar
)
CREATE TABLE category (
id int,
business_id varchar,
category_name varchar
)
CREATE TABLE business (
bid int,
business_id varchar,
name varchar,
full_address varchar,
city varchar,
latitude varchar,
longitude varchar,
review_count bigint,
is_open tinyint,
rating float,
state varchar
) | SELECT review.text FROM review, user WHERE review.rating > 4 AND user.name = 'Patrick' AND user.user_id = review.user_id | [
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what's the premiere with hk viewers of 2.09 million | CREATE TABLE table_11174272_1 (
premiere VARCHAR,
hk_viewers VARCHAR
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What country has a compulsory deduction of 29.3%? | CREATE TABLE table_26872 (
"Rank" real,
"Country" text,
"Disposable USD 2011" real,
"Disposable USD growth" real,
"Compulsory deduction" text,
"Gross USD 2011" real
) | SELECT "Country" FROM table_26872 WHERE "Compulsory deduction" = '29.3%' | [
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What was Juli's winning margin on Aug 24, 1986? | CREATE TABLE table_name_10 (
margin_of_victory VARCHAR,
date VARCHAR
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What is the name of the highest rated wine? | CREATE TABLE grapes (
id number,
grape text,
color text
)
CREATE TABLE wine (
no number,
grape text,
winery text,
appelation text,
state text,
name text,
year number,
price number,
score number,
cases number,
drink text
)
CREATE TABLE appellations (
no number,
appelation text,
county text,
state text,
area text,
isava text
) | SELECT name FROM wine ORDER BY score LIMIT 1 | [
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For those employees who did not have any job in the past, visualize a scatter chart about the correlation between salary and department_id . | CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
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MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
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CREATE TABLE job_history (
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START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
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CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
) | SELECT SALARY, DEPARTMENT_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | [
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How many villages had 21.7% of slovenes in 1991? | CREATE TABLE table_10797463_1 (
village__german_ VARCHAR,
percent_of_slovenes_1991 VARCHAR
) | SELECT COUNT(village__german_) FROM table_10797463_1 WHERE percent_of_slovenes_1991 = "21.7%" | [
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Which Round has a Player of anthony christnovich? | CREATE TABLE table_name_72 (
round VARCHAR,
player VARCHAR
) | SELECT round FROM table_name_72 WHERE player = "anthony christnovich" | [
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What is the total for the player whose finish was t66? | CREATE TABLE table_name_70 (
total VARCHAR,
finish VARCHAR
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What is the drug type of LR? | 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
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.drug = "LR" | [
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What is the rank of the player from Ukraine with react less than 0.26? | CREATE TABLE table_name_29 (rank VARCHAR, nationality VARCHAR, react VARCHAR) | SELECT COUNT(rank) FROM table_name_29 WHERE nationality = "ukraine" AND react < 0.26 | [
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Find the total number of scientists. | CREATE TABLE projects (
code text,
name text,
hours number
)
CREATE TABLE assignedto (
scientist number,
project text
)
CREATE TABLE scientists (
ssn number,
name text
) | SELECT COUNT(*) FROM scientists | [
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Which airport is associated with Macau? | CREATE TABLE table_name_71 (
airport VARCHAR,
city VARCHAR
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what is the episode # for production code 227 | CREATE TABLE table_10269427_3 (episode__number VARCHAR, production_code VARCHAR) | SELECT episode__number FROM table_10269427_3 WHERE production_code = 227 | [
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How many weeks in the top 10 was spent by a song performed by Peter Kay? | CREATE TABLE table_30000 (
"Entry Date [A ]" text,
"Single" text,
"Artist" text,
"Peak" real,
"Peak Reached [A ]" text,
"Weeks in top 10" real
) | SELECT MAX("Weeks in top 10") FROM table_30000 WHERE "Artist" = 'Peter Kay' | [
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Can you tell me the Played that has the Club of club? | CREATE TABLE table_name_15 (played VARCHAR) | SELECT played FROM table_name_15 WHERE "club" = "club" | [
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How tall is the Anqing Bridge which opened prior to 2011? | CREATE TABLE table_name_8 (
height_of_bridge_structure VARCHAR,
opened VARCHAR,
name VARCHAR
) | SELECT height_of_bridge_structure FROM table_name_8 WHERE opened < 2011 AND name = "anqing bridge" | [
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Name the total number of position for don clegg | CREATE TABLE table_19730892_1 (position VARCHAR, name VARCHAR) | SELECT COUNT(position) FROM table_19730892_1 WHERE name = "Don Clegg" | [
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For each grade, report the grade, the number of classrooms in which it is taught and the total number of students in the grade. | CREATE TABLE list (
grade VARCHAR,
classroom VARCHAR
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For those employees who did not have any job in the past, give me the comparison about the average of department_id over the hire_date bin hire_date by time, and could you display in asc by the y axis? | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
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Give the number of patients whose primary disease is cerebral aneurysm/sda and were admitted before the year 2200. | 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 text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
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What is the last game of the season that has the record 0-1-0? | CREATE TABLE table_50113 (
"Game" real,
"October" real,
"Opponent" text,
"Score" text,
"Record" text
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What rank does the person participating in American Civil war and indian wars? | CREATE TABLE table_name_65 (rank VARCHAR, active_service VARCHAR) | SELECT rank FROM table_name_65 WHERE active_service = "american civil war and indian wars" | [
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What is the Venue of the WCQ5 Competition? | CREATE TABLE table_name_49 (
venue VARCHAR,
competition VARCHAR
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Tell me the date for acts of 6 bands and year larger than 1981 for monsters of rock | CREATE TABLE table_31595 (
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"Date" text,
"Event" text,
"Days" text,
"Stages" text,
"Acts" text
) | SELECT "Date" FROM table_31595 WHERE "Acts" = '6 bands' AND "Year" > '1981' AND "Event" = 'monsters of rock' | [
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What is the lowest Against, when Opposing Team is Queensland? | CREATE TABLE table_50310 (
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"Against" real,
"Date" text,
"Venue" text,
"Status" text
) | SELECT MIN("Against") FROM table_50310 WHERE "Opposing Team" = 'queensland' | [
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how many titles have the name "quick callanetics"? | CREATE TABLE table_11222744_3 (catalog_number VARCHAR, title VARCHAR) | SELECT COUNT(catalog_number) FROM table_11222744_3 WHERE title = "Quick Callanetics" | [
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Return a histogram on how many entrepreneurs correspond to each investor?, sort by the X in ascending. | CREATE TABLE people (
People_ID int,
Name text,
Height real,
Weight real,
Date_of_Birth text
)
CREATE TABLE entrepreneur (
Entrepreneur_ID int,
People_ID int,
Company text,
Money_Requested real,
Investor text
) | SELECT Investor, COUNT(*) FROM entrepreneur GROUP BY Investor ORDER BY Investor | [
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What is Tournament, when 1996 is '1R', and when 1990 is 'SF'? | CREATE TABLE table_44547 (
"Tournament" text,
"1990" text,
"1991" text,
"1992" text,
"1993" text,
"1994" text,
"1995" text,
"1996" text
) | SELECT "Tournament" FROM table_44547 WHERE "1996" = '1r' AND "1990" = 'sf' | [
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Name the number of names for exeter chiefs | CREATE TABLE table_25609 (
"Season" text,
"Name" text,
"Teams" real,
"Relegated to League" text,
"Promoted to League" text,
"Promoted from League" text,
"Relegated from League" text
) | SELECT COUNT("Name") FROM table_25609 WHERE "Promoted from League" = 'Exeter Chiefs' | [
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What is the number of 2011 populations having a 2002 population of 29449? | CREATE TABLE table_2562572_2 (population__2011_ VARCHAR, population__2002_ VARCHAR) | SELECT COUNT(population__2011_) FROM table_2562572_2 WHERE population__2002_ = 29449 | [
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what is admission type of subject id 2110? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
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how many peaks where for the chinese episode named | CREATE TABLE table_31275 (
"Rank" real,
"English title" text,
"Chinese title" text,
"Average" real,
"Peak" real,
"Premiere" real,
"Finale" real,
"HK viewers" text
) | SELECT COUNT("Peak") FROM table_31275 WHERE "Chinese title" = '萬凰之王' | [
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What is the title in Canada? | CREATE TABLE table_29487895_2 (
title_in_country VARCHAR,
country___region VARCHAR
) | SELECT title_in_country FROM table_29487895_2 WHERE country___region = "Canada" | [
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what is minimum age of patients whose gender is f and age is greater than or equal to 89? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT MIN(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.age >= "89" | [
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provide the diagnoses title of subject id 76446. | 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 prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
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Name the college for david carter | CREATE TABLE table_28760 (
"Round" real,
"Overall pick" real,
"NFL team" text,
"Player" text,
"Position" text,
"College" text
) | SELECT "College" FROM table_28760 WHERE "Player" = 'David Carter' | [
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Name the place that was founded in 1920 | CREATE TABLE table_262560_1 (
institution VARCHAR,
founded VARCHAR
) | SELECT institution FROM table_262560_1 WHERE founded = 1920 | [
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What is the lowest number pick from san diego chargers? | CREATE TABLE table_name_3 (pick INTEGER, team VARCHAR) | SELECT MIN(pick) FROM table_name_3 WHERE team = "san diego chargers" | [
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What is the lowest Attendance when Middlesbrough played at Venue A? | CREATE TABLE table_name_34 (attendance INTEGER, opponent VARCHAR, venue VARCHAR) | SELECT MIN(attendance) FROM table_name_34 WHERE opponent = "middlesbrough" AND venue = "a" | [
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What is the average number of points for a song ranked 2nd with a draw greater than 3? | CREATE TABLE table_name_35 (
points INTEGER,
rank VARCHAR,
draw VARCHAR
) | SELECT AVG(points) FROM table_name_35 WHERE rank = "2nd" AND draw > 3 | [
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