db_id
stringclasses
140 values
question
stringlengths
16
224
query
stringlengths
18
577
db_schema
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140 values
question_toks
listlengths
4
44
train_station
Show the name, location, and number of platforms for all stations.
SELECT name , LOCATION , number_of_platforms FROM station
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "the", "name", ",", "location", ",", "and", "number", "of", "platforms", "for", "all", "stations", "." ]
train_station
What are all locations of train stations?
SELECT DISTINCT LOCATION FROM station
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "What", "are", "all", "locations", "of", "train", "stations", "?" ]
train_station
Show the names and total passengers for all train stations not in London.
SELECT name , total_passengers FROM station WHERE LOCATION != 'London'
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "the", "names", "and", "total", "passengers", "for", "all", "train", "stations", "not", "in", "London", "." ]
train_station
Show the names and main services for train stations that have the top three total number of passengers.
SELECT name , main_services FROM station ORDER BY total_passengers DESC LIMIT 3
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "the", "names", "and", "main", "services", "for", "train", "stations", "that", "have", "the", "top", "three", "total", "number", "of", "passengers", "." ]
train_station
What is the average and maximum number of total passengers for train stations in London or Glasgow?
SELECT avg(total_passengers) , max(total_passengers) FROM station WHERE LOCATION = 'London' OR LOCATION = 'Glasgow'
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "What", "is", "the", "average", "and", "maximum", "number", "of", "total", "passengers", "for", "train", "stations", "in", "London", "or", "Glasgow", "?" ]
train_station
Show all locations and the total number of platforms and passengers for all train stations in each location.
SELECT LOCATION , sum(number_of_platforms) , sum(total_passengers) FROM station GROUP BY LOCATION
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "all", "locations", "and", "the", "total", "number", "of", "platforms", "and", "passengers", "for", "all", "train", "stations", "in", "each", "location", "." ]
train_station
Show all locations that have train stations with at least 15 platforms and train stations with more than 25 total passengers.
SELECT DISTINCT LOCATION FROM station WHERE number_of_platforms >= 15 AND total_passengers > 25
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "all", "locations", "that", "have", "train", "stations", "with", "at", "least", "15", "platforms", "and", "train", "stations", "with", "more", "than", "25", "total", "passengers", "." ]
train_station
Show all locations which don't have a train station with at least 15 platforms.
SELECT LOCATION FROM station EXCEPT SELECT LOCATION FROM station WHERE number_of_platforms >= 15
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "all", "locations", "which", "do", "n't", "have", "a", "train", "station", "with", "at", "least", "15", "platforms", "." ]
train_station
Show the location with most number of train stations.
SELECT LOCATION FROM station GROUP BY LOCATION ORDER BY count(*) DESC LIMIT 1
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "the", "location", "with", "most", "number", "of", "train", "stations", "." ]
train_station
Show the name, time, and service for all trains.
SELECT name , TIME , service FROM train
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "the", "name", ",", "time", ",", "and", "service", "for", "all", "trains", "." ]
train_station
Show the number of trains
SELECT count(*) FROM train
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "the", "number", "of", "trains" ]
train_station
Show the name and service for all trains in order by time.
SELECT name , service FROM train ORDER BY TIME
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "the", "name", "and", "service", "for", "all", "trains", "in", "order", "by", "time", "." ]
train_station
Show the station name and number of trains in each station.
SELECT T2.name , count(*) FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id GROUP BY T1.station_id
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "the", "station", "name", "and", "number", "of", "trains", "in", "each", "station", "." ]
train_station
show the train name and station name for each train.
SELECT T2.name , T3.name FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id JOIN train AS T3 ON T3.train_id = T1.train_id
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "show", "the", "train", "name", "and", "station", "name", "for", "each", "train", "." ]
train_station
Show all train names and times in stations in London in descending order by train time.
SELECT T3.name , T3.time FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id JOIN train AS T3 ON T3.train_id = T1.train_id WHERE T2.location = 'London' ORDER BY T3.time DESC
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "all", "train", "names", "and", "times", "in", "stations", "in", "London", "in", "descending", "order", "by", "train", "time", "." ]
train_station
Show the station name with greatest number of trains.
SELECT T2.name FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id GROUP BY T1.station_id ORDER BY count(*) DESC LIMIT 1
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "the", "station", "name", "with", "greatest", "number", "of", "trains", "." ]
train_station
Show the station name with at least two trains.
SELECT T2.name FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id GROUP BY T1.station_id HAVING count(*) >= 2
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "the", "station", "name", "with", "at", "least", "two", "trains", "." ]
train_station
Show all locations with only 1 station.
SELECT LOCATION FROM station GROUP BY LOCATION HAVING count(*) = 1
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "all", "locations", "with", "only", "1", "station", "." ]
train_station
Show station names without any trains.
SELECT name FROM station WHERE station_id NOT IN (SELECT station_id FROM train_station)
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Show", "station", "names", "without", "any", "trains", "." ]
train_station
What are the names of the stations which serve both "Ananthapuri Express" and "Guruvayur Express" trains?
SELECT T2.name FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id JOIN train AS T3 ON T3.train_id = T1.train_id WHERE T3.Name = "Ananthapuri Express" INTERSECT SELECT T2.name FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id JOIN train AS T3 ON T3.train_id =...
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "What", "are", "the", "names", "of", "the", "stations", "which", "serve", "both", "``", "Ananthapuri", "Express", "''", "and", "``", "Guruvayur", "Express", "''", "trains", "?" ]
train_station
Find the names of the trains that do not pass any station located in London.
SELECT T2.name FROM train_station AS T1 JOIN train AS T2 ON T1.train_id = T2.train_id WHERE T1.station_id NOT IN (SELECT T4.station_id FROM train_station AS T3 JOIN station AS T4 ON T3.station_id = T4.station_id WHERE t4.location = "London")
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "Find", "the", "names", "of", "the", "trains", "that", "do", "not", "pass", "any", "station", "located", "in", "London", "." ]
train_station
List the names and locations of all stations ordered by their yearly entry exit and interchange amounts.
SELECT name , LOCATION FROM station ORDER BY Annual_entry_exit , Annual_interchanges
station: Station_ID (number), Name (text), Annual_entry_exit (number), Annual_interchanges (number), Total_Passengers (number), Location (text), Main_Services (text), Number_of_Platforms (number) | train: Train_ID (number), Name (text), Time (text), Service (text) | train_station: Train_ID (number), Station_ID (number)
[ "List", "the", "names", "and", "locations", "of", "all", "stations", "ordered", "by", "their", "yearly", "entry", "exit", "and", "interchange", "amounts", "." ]
driving_school
List all vehicle id
SELECT vehicle_id FROM Vehicles;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "List", "all", "vehicle", "id" ]
driving_school
What are the ids of all vehicles?
SELECT vehicle_id FROM Vehicles;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "are", "the", "ids", "of", "all", "vehicles", "?" ]
driving_school
How many vehicle in total?
SELECT count(*) FROM Vehicles;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "vehicle", "in", "total", "?" ]
driving_school
How many vehicles exist?
SELECT count(*) FROM Vehicles;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "vehicles", "exist", "?" ]
driving_school
Show the detail of vehicle with id 1.
SELECT vehicle_details FROM Vehicles WHERE vehicle_id = 1;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "Show", "the", "detail", "of", "vehicle", "with", "id", "1", "." ]
driving_school
What are the details of the car with id 1?
SELECT vehicle_details FROM Vehicles WHERE vehicle_id = 1;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "are", "the", "details", "of", "the", "car", "with", "id", "1", "?" ]
driving_school
List the first name middle name and last name of all staff.
SELECT first_name , middle_name , last_name FROM Staff;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "List", "the", "first", "name", "middle", "name", "and", "last", "name", "of", "all", "staff", "." ]
driving_school
What are the first, middle, and last names of all staff?
SELECT first_name , middle_name , last_name FROM Staff;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "are", "the", "first", ",", "middle", ",", "and", "last", "names", "of", "all", "staff", "?" ]
driving_school
What is the birthday of the staff member with first name as Janessa and last name as Sawayn?
SELECT date_of_birth FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "birthday", "of", "the", "staff", "member", "with", "first", "name", "as", "Janessa", "and", "last", "name", "as", "Sawayn", "?" ]
driving_school
What is the date of birth for the staff member named Janessa Sawayn?
SELECT date_of_birth FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "date", "of", "birth", "for", "the", "staff", "member", "named", "Janessa", "Sawayn", "?" ]
driving_school
When did the staff member with first name as Janessa and last name as Sawayn join the company?
SELECT date_joined_staff FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "When", "did", "the", "staff", "member", "with", "first", "name", "as", "Janessa", "and", "last", "name", "as", "Sawayn", "join", "the", "company", "?" ]
driving_school
When did the staff member named Janessa Sawayn join the company?
SELECT date_joined_staff FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "When", "did", "the", "staff", "member", "named", "Janessa", "Sawayn", "join", "the", "company", "?" ]
driving_school
When did the staff member with first name as Janessa and last name as Sawayn leave the company?
SELECT date_left_staff FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "When", "did", "the", "staff", "member", "with", "first", "name", "as", "Janessa", "and", "last", "name", "as", "Sawayn", "leave", "the", "company", "?" ]
driving_school
When did the staff member Janessa Sawayn leave the company?
SELECT date_left_staff FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "When", "did", "the", "staff", "member", "Janessa", "Sawayn", "leave", "the", "company", "?" ]
driving_school
How many staff have the first name Ludie?
SELECT count(*) FROM Staff WHERE first_name = "Ludie";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "staff", "have", "the", "first", "name", "Ludie", "?" ]
driving_school
How many employees have a first name of Ludie?
SELECT count(*) FROM Staff WHERE first_name = "Ludie";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "employees", "have", "a", "first", "name", "of", "Ludie", "?" ]
driving_school
What is the nickname of staff with first name as Janessa and last name as Sawayn?
SELECT nickname FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "nickname", "of", "staff", "with", "first", "name", "as", "Janessa", "and", "last", "name", "as", "Sawayn", "?" ]
driving_school
What is the nickname of the employee named Janessa Sawayn?
SELECT nickname FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "nickname", "of", "the", "employee", "named", "Janessa", "Sawayn", "?" ]
driving_school
How many staff in total?
SELECT count(*) FROM Staff;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "staff", "in", "total", "?" ]
driving_school
How many employees are there?
SELECT count(*) FROM Staff;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "employees", "are", "there", "?" ]
driving_school
Which city does staff with first name as Janessa and last name as Sawayn live?
SELECT T1.city FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "Which", "city", "does", "staff", "with", "first", "name", "as", "Janessa", "and", "last", "name", "as", "Sawayn", "live", "?" ]
driving_school
In what city does Janessa Sawayn live?
SELECT T1.city FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "In", "what", "city", "does", "Janessa", "Sawayn", "live", "?" ]
driving_school
Which country and state does staff with first name as Janessa and last name as Sawayn lived?
SELECT T1.country , T1.state_province_county FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "Which", "country", "and", "state", "does", "staff", "with", "first", "name", "as", "Janessa", "and", "last", "name", "as", "Sawayn", "lived", "?" ]
driving_school
In which country and state does Janessa Sawayn live?
SELECT T1.country , T1.state_province_county FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "In", "which", "country", "and", "state", "does", "Janessa", "Sawayn", "live", "?" ]
driving_school
How long is the total lesson time took by customer with first name as Rylan and last name as Goodwin?
SELECT sum(T1.lesson_time) FROM Lessons AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Rylan" AND T2.last_name = "Goodwin";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
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driving_school
How long is the total lesson time took by the customer named Rylan Goodwin?
SELECT sum(T1.lesson_time) FROM Lessons AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Rylan" AND T2.last_name = "Goodwin";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "long", "is", "the", "total", "lesson", "time", "took", "by", "the", "customer", "named", "Rylan", "Goodwin", "?" ]
driving_school
What is the zip code of staff with first name as Janessa and last name as Sawayn lived?
SELECT T1.zip_postcode FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "zip", "code", "of", "staff", "with", "first", "name", "as", "Janessa", "and", "last", "name", "as", "Sawayn", "lived", "?" ]
driving_school
What is the zip code of the hosue of the employee named Janessa Sawayn?
SELECT T1.zip_postcode FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "zip", "code", "of", "the", "hosue", "of", "the", "employee", "named", "Janessa", "Sawayn", "?" ]
driving_school
How many staff live in state Georgia?
SELECT count(*) FROM Addresses WHERE state_province_county = "Georgia";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "staff", "live", "in", "state", "Georgia", "?" ]
driving_school
How many employees live in Georgia?
SELECT count(*) FROM Addresses WHERE state_province_county = "Georgia";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "employees", "live", "in", "Georgia", "?" ]
driving_school
Find out the first name and last name of staff lived in city Damianfort.
SELECT T2.first_name , T2.last_name FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T1.city = "Damianfort";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "Find", "out", "the", "first", "name", "and", "last", "name", "of", "staff", "lived", "in", "city", "Damianfort", "." ]
driving_school
What is the first and last name of all employees who live in the city Damianfort?
SELECT T2.first_name , T2.last_name FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T1.city = "Damianfort";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "first", "and", "last", "name", "of", "all", "employees", "who", "live", "in", "the", "city", "Damianfort", "?" ]
driving_school
Which city lives most of staffs? List the city name and number of staffs.
SELECT T1.city , count(*) FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id GROUP BY T1.city ORDER BY count(*) DESC LIMIT 1;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "Which", "city", "lives", "most", "of", "staffs", "?", "List", "the", "city", "name", "and", "number", "of", "staffs", "." ]
driving_school
In which city do the most employees live and how many of them live there?
SELECT T1.city , count(*) FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id GROUP BY T1.city ORDER BY count(*) DESC LIMIT 1;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "In", "which", "city", "do", "the", "most", "employees", "live", "and", "how", "many", "of", "them", "live", "there", "?" ]
driving_school
List the states which have between 2 to 4 staffs living there.
SELECT T1.state_province_county FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id GROUP BY T1.state_province_county HAVING count(*) BETWEEN 2 AND 4;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "List", "the", "states", "which", "have", "between", "2", "to", "4", "staffs", "living", "there", "." ]
driving_school
What are the names of the states that have 2 to 4 employees living there?
SELECT T1.state_province_county FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id GROUP BY T1.state_province_county HAVING count(*) BETWEEN 2 AND 4;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "are", "the", "names", "of", "the", "states", "that", "have", "2", "to", "4", "employees", "living", "there", "?" ]
driving_school
List the first name and last name of all customers.
SELECT first_name , last_name FROM Customers;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "List", "the", "first", "name", "and", "last", "name", "of", "all", "customers", "." ]
driving_school
What are the first and last names for all customers?
SELECT first_name , last_name FROM Customers;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "are", "the", "first", "and", "last", "names", "for", "all", "customers", "?" ]
driving_school
List email address and birthday of customer whose first name as Carole.
SELECT email_address , date_of_birth FROM Customers WHERE first_name = "Carole"
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "List", "email", "address", "and", "birthday", "of", "customer", "whose", "first", "name", "as", "Carole", "." ]
driving_school
What are the email addresses and date of births for all customers who have a first name of Carole?
SELECT email_address , date_of_birth FROM Customers WHERE first_name = "Carole"
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "are", "the", "email", "addresses", "and", "date", "of", "births", "for", "all", "customers", "who", "have", "a", "first", "name", "of", "Carole", "?" ]
driving_school
List phone number and email address of customer with more than 2000 outstanding balance.
SELECT phone_number , email_address FROM Customers WHERE amount_outstanding > 2000;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "List", "phone", "number", "and", "email", "address", "of", "customer", "with", "more", "than", "2000", "outstanding", "balance", "." ]
driving_school
What are the phone numbers and email addresses of all customers who have an outstanding balance of more than 2000?
SELECT phone_number , email_address FROM Customers WHERE amount_outstanding > 2000;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "are", "the", "phone", "numbers", "and", "email", "addresses", "of", "all", "customers", "who", "have", "an", "outstanding", "balance", "of", "more", "than", "2000", "?" ]
driving_school
What is the status code, mobile phone number and email address of customer with last name as Kohler or first name as Marina?
SELECT customer_status_code , cell_mobile_phone_number , email_address FROM Customers WHERE first_name = "Marina" OR last_name = "Kohler"
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "status", "code", ",", "mobile", "phone", "number", "and", "email", "address", "of", "customer", "with", "last", "name", "as", "Kohler", "or", "first", "name", "as", "Marina", "?" ]
driving_school
What is the status code, phone number, and email address of the customer whose last name is Kohler or whose first name is Marina?
SELECT customer_status_code , cell_mobile_phone_number , email_address FROM Customers WHERE first_name = "Marina" OR last_name = "Kohler"
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "status", "code", ",", "phone", "number", ",", "and", "email", "address", "of", "the", "customer", "whose", "last", "name", "is", "Kohler", "or", "whose", "first", "name", "is", "Marina", "?" ]
driving_school
When are the birthdays of customer who are classified as 'Good Customer' status?
SELECT date_of_birth FROM Customers WHERE customer_status_code = 'Good Customer'
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "When", "are", "the", "birthdays", "of", "customer", "who", "are", "classified", "as", "'Good", "Customer", "'", "status", "?" ]
driving_school
What is the date of birth of every customer whose status code is 'Good Customer'?
SELECT date_of_birth FROM Customers WHERE customer_status_code = 'Good Customer'
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "date", "of", "birth", "of", "every", "customer", "whose", "status", "code", "is", "'Good", "Customer", "'", "?" ]
driving_school
When did customer with first name as Carole and last name as Bernhard became a customer?
SELECT date_became_customer FROM Customers WHERE first_name = "Carole" AND last_name = "Bernhard";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "When", "did", "customer", "with", "first", "name", "as", "Carole", "and", "last", "name", "as", "Bernhard", "became", "a", "customer", "?" ]
driving_school
When did Carole Bernhard first become a customer?
SELECT date_became_customer FROM Customers WHERE first_name = "Carole" AND last_name = "Bernhard";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "When", "did", "Carole", "Bernhard", "first", "become", "a", "customer", "?" ]
driving_school
How many customers in total?
SELECT count(*) FROM Customers;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "customers", "in", "total", "?" ]
driving_school
How many customers are there?
SELECT count(*) FROM Customers;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "customers", "are", "there", "?" ]
driving_school
List all customer status codes and the number of customers having each status code.
SELECT customer_status_code , count(*) FROM Customers GROUP BY customer_status_code;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "List", "all", "customer", "status", "codes", "and", "the", "number", "of", "customers", "having", "each", "status", "code", "." ]
driving_school
For each customer status code, how many customers are classified that way?
SELECT customer_status_code , count(*) FROM Customers GROUP BY customer_status_code;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "For", "each", "customer", "status", "code", ",", "how", "many", "customers", "are", "classified", "that", "way", "?" ]
driving_school
Which customer status code has least number of customers?
SELECT customer_status_code FROM Customers GROUP BY customer_status_code ORDER BY count(*) ASC LIMIT 1;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "Which", "customer", "status", "code", "has", "least", "number", "of", "customers", "?" ]
driving_school
What is the status code with the least number of customers?
SELECT customer_status_code FROM Customers GROUP BY customer_status_code ORDER BY count(*) ASC LIMIT 1;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "status", "code", "with", "the", "least", "number", "of", "customers", "?" ]
driving_school
How many lessons taken by customer with first name as Rylan and last name as Goodwin were completed?
SELECT count(*) FROM Lessons AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Rylan" AND T2.last_name = "Goodwin" AND T1.lesson_status_code = "Completed";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "lessons", "taken", "by", "customer", "with", "first", "name", "as", "Rylan", "and", "last", "name", "as", "Goodwin", "were", "completed", "?" ]
driving_school
How many lessons did the customer Ryan Goodwin complete?
SELECT count(*) FROM Lessons AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Rylan" AND T2.last_name = "Goodwin" AND T1.lesson_status_code = "Completed";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "lessons", "did", "the", "customer", "Ryan", "Goodwin", "complete", "?" ]
driving_school
What is maximum, minimum and average amount of outstanding of customer?
SELECT max(amount_outstanding) , min(amount_outstanding) , avg(amount_outstanding) FROM Customers;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "maximum", ",", "minimum", "and", "average", "amount", "of", "outstanding", "of", "customer", "?" ]
driving_school
What is the maximum, minimum, and average amount of money outsanding for all customers?
SELECT max(amount_outstanding) , min(amount_outstanding) , avg(amount_outstanding) FROM Customers;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "maximum", ",", "minimum", ",", "and", "average", "amount", "of", "money", "outsanding", "for", "all", "customers", "?" ]
driving_school
List the first name and last name of customers have the amount of outstanding between 1000 and 3000.
SELECT first_name , last_name FROM Customers WHERE amount_outstanding BETWEEN 1000 AND 3000;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "List", "the", "first", "name", "and", "last", "name", "of", "customers", "have", "the", "amount", "of", "outstanding", "between", "1000", "and", "3000", "." ]
driving_school
What are the first and last names of all customers with between 1000 and 3000 dollars outstanding?
SELECT first_name , last_name FROM Customers WHERE amount_outstanding BETWEEN 1000 AND 3000;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "are", "the", "first", "and", "last", "names", "of", "all", "customers", "with", "between", "1000", "and", "3000", "dollars", "outstanding", "?" ]
driving_school
List first name and last name of customers lived in city Lockmanfurt.
SELECT T1.first_name , T1.last_name FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id WHERE T2.city = "Lockmanfurt";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "List", "first", "name", "and", "last", "name", "of", "customers", "lived", "in", "city", "Lockmanfurt", "." ]
driving_school
What are the first and last names of all customers who lived in Lockmanfurt?
SELECT T1.first_name , T1.last_name FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id WHERE T2.city = "Lockmanfurt";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "are", "the", "first", "and", "last", "names", "of", "all", "customers", "who", "lived", "in", "Lockmanfurt", "?" ]
driving_school
Which country does customer with first name as Carole and last name as Bernhard lived in?
SELECT T2.country FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id WHERE T1.first_name = "Carole" AND T1.last_name = "Bernhard"
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "Which", "country", "does", "customer", "with", "first", "name", "as", "Carole", "and", "last", "name", "as", "Bernhard", "lived", "in", "?" ]
driving_school
What is the country in which the customer Carole Bernhard lived?
SELECT T2.country FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id WHERE T1.first_name = "Carole" AND T1.last_name = "Bernhard"
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "country", "in", "which", "the", "customer", "Carole", "Bernhard", "lived", "?" ]
driving_school
What is zip code of customer with first name as Carole and last name as Bernhard?
SELECT T2.zip_postcode FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id WHERE T1.first_name = "Carole" AND T1.last_name = "Bernhard"
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "zip", "code", "of", "customer", "with", "first", "name", "as", "Carole", "and", "last", "name", "as", "Bernhard", "?" ]
driving_school
What is the zip code of the customer Carole Bernhard?
SELECT T2.zip_postcode FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id WHERE T1.first_name = "Carole" AND T1.last_name = "Bernhard"
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "zip", "code", "of", "the", "customer", "Carole", "Bernhard", "?" ]
driving_school
Which city does has most number of customers?
SELECT T2.city FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id GROUP BY T2.city ORDER BY count(*) DESC LIMIT 1;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "Which", "city", "does", "has", "most", "number", "of", "customers", "?" ]
driving_school
What is the city with the most customers?
SELECT T2.city FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id GROUP BY T2.city ORDER BY count(*) DESC LIMIT 1;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "city", "with", "the", "most", "customers", "?" ]
driving_school
How much in total does customer with first name as Carole and last name as Bernhard paid?
SELECT sum(T1.amount_payment) FROM Customer_Payments AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Carole" AND T2.last_name = "Bernhard"
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "much", "in", "total", "does", "customer", "with", "first", "name", "as", "Carole", "and", "last", "name", "as", "Bernhard", "paid", "?" ]
driving_school
What is the total amount of moeny paid by the customer Carole Bernhard?
SELECT sum(T1.amount_payment) FROM Customer_Payments AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Carole" AND T2.last_name = "Bernhard"
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "is", "the", "total", "amount", "of", "moeny", "paid", "by", "the", "customer", "Carole", "Bernhard", "?" ]
driving_school
List the number of customers that did not have any payment history.
SELECT count(*) FROM Customers WHERE customer_id NOT IN ( SELECT customer_id FROM Customer_Payments );
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "List", "the", "number", "of", "customers", "that", "did", "not", "have", "any", "payment", "history", "." ]
driving_school
How many customers have no payment histories?
SELECT count(*) FROM Customers WHERE customer_id NOT IN ( SELECT customer_id FROM Customer_Payments );
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "customers", "have", "no", "payment", "histories", "?" ]
driving_school
List first name and last name of customers that have more than 2 payments.
SELECT T2.first_name , T2.last_name FROM Customer_Payments AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) > 2;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "List", "first", "name", "and", "last", "name", "of", "customers", "that", "have", "more", "than", "2", "payments", "." ]
driving_school
What are the first and last names of all customers with more than 2 payments?
SELECT T2.first_name , T2.last_name FROM Customer_Payments AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) > 2;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "What", "are", "the", "first", "and", "last", "names", "of", "all", "customers", "with", "more", "than", "2", "payments", "?" ]
driving_school
List all payment methods and number of payments using each payment methods.
SELECT payment_method_code , count(*) FROM Customer_Payments GROUP BY payment_method_code;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "List", "all", "payment", "methods", "and", "number", "of", "payments", "using", "each", "payment", "methods", "." ]
driving_school
For each payment method, how many payments were made?
SELECT payment_method_code , count(*) FROM Customer_Payments GROUP BY payment_method_code;
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "For", "each", "payment", "method", ",", "how", "many", "payments", "were", "made", "?" ]
driving_school
How many lessons were in cancelled state?
SELECT count(*) FROM Lessons WHERE lesson_status_code = "Cancelled";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "lessons", "were", "in", "cancelled", "state", "?" ]
driving_school
How many lessons have been cancelled?
SELECT count(*) FROM Lessons WHERE lesson_status_code = "Cancelled";
Addresses: address_id (number), line_1_number_building (text), city (text), zip_postcode (text), state_province_county (text), country (text) | Staff: staff_id (number), staff_address_id (number), nickname (text), first_name (text), middle_name (text), last_name (text), date_of_birth (time), date_joined_staff (time), d...
[ "How", "many", "lessons", "have", "been", "cancelled", "?" ]