Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What are the student ids for those on scholarship in major number 600? [/INST]

Output: SELECT StuID FROM Student WHERE major  =  600 INTERSECT SELECT StuID FROM Sportsinfo WHERE onscholarship  =  'Y';


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Show student ids who are female and play football. [/INST]

Output: SELECT StuID FROM Student WHERE sex  =  'F' INTERSECT SELECT StuID FROM Sportsinfo WHERE sportname  =  "Football";


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What are the ids of all female students who play football? [/INST]

Output: SELECT StuID FROM Student WHERE sex  =  'F' INTERSECT SELECT StuID FROM Sportsinfo WHERE sportname  =  "Football";


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Show all male student ids who don't play football. [/INST]

Output: SELECT StuID FROM Student WHERE sex  =  'M' EXCEPT SELECT StuID FROM Sportsinfo WHERE sportname  =  "Football";


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What are the ids of all male students who do not play football? [/INST]

Output: SELECT StuID FROM Student WHERE sex  =  'M' EXCEPT SELECT StuID FROM Sportsinfo WHERE sportname  =  "Football";


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Show total hours per week and number of games played for student David Shieber. [/INST]

Output: SELECT sum(hoursperweek) ,  sum(gamesplayed) FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID  =  T2.StuID WHERE T2.Fname  =  "David" AND T2.Lname  =  "Shieber";


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What is the total number of hours per work and number of games played by David Shieber? [/INST]

Output: SELECT sum(hoursperweek) ,  sum(gamesplayed) FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID  =  T2.StuID WHERE T2.Fname  =  "David" AND T2.Lname  =  "Shieber";


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Show total hours per week and number of games played for students under 20. [/INST]

Output: SELECT sum(hoursperweek) ,  sum(gamesplayed) FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID  =  T2.StuID WHERE T2.age  <  20;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What is the total number of hours per week and number of games played by students under 20? [/INST]

Output: SELECT sum(hoursperweek) ,  sum(gamesplayed) FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID  =  T2.StuID WHERE T2.age  <  20;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: How many students play video games? [/INST]

Output: SELECT count(DISTINCT StuID) FROM Plays_games;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: How many different students play games? [/INST]

Output: SELECT count(DISTINCT StuID) FROM Plays_games;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Show ids of students who don't play video game. [/INST]

Output: SELECT StuID FROM Student EXCEPT SELECT StuID FROM Plays_games;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What are the ids of all students who are not video game players? [/INST]

Output: SELECT StuID FROM Student EXCEPT SELECT StuID FROM Plays_games;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Show ids of students who play video game and play sports. [/INST]

Output: SELECT StuID FROM Sportsinfo INTERSECT SELECT StuID FROM Plays_games;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What are the ids of all students who played video games and sports? [/INST]

Output: SELECT StuID FROM Sportsinfo INTERSECT SELECT StuID FROM Plays_games;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Show all game ids and the number of hours played. [/INST]

Output: SELECT gameid ,  sum(hours_played) FROM Plays_games GROUP BY gameid;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What are ids and total number of hours played for each game? [/INST]

Output: SELECT gameid ,  sum(hours_played) FROM Plays_games GROUP BY gameid;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Show all student ids and the number of hours played. [/INST]

Output: SELECT Stuid ,  sum(hours_played) FROM Plays_games GROUP BY Stuid;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What are the ids of all students and number of hours played? [/INST]

Output: SELECT Stuid ,  sum(hours_played) FROM Plays_games GROUP BY Stuid;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Show the game name that has most number of hours played. [/INST]

Output: SELECT gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid  =  T2.gameid GROUP BY T1.gameid ORDER BY sum(hours_played) DESC LIMIT 1;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What is the name of the game that has been played the most? [/INST]

Output: SELECT gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid  =  T2.gameid GROUP BY T1.gameid ORDER BY sum(hours_played) DESC LIMIT 1;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Show all game names played by at least 1000 hours. [/INST]

Output: SELECT gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid  =  T2.gameid GROUP BY T1.gameid HAVING sum(hours_played)  >=  1000;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What are the names of all the games that have been played for at least 1000 hours? [/INST]

Output: SELECT gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid  =  T2.gameid GROUP BY T1.gameid HAVING sum(hours_played)  >=  1000;


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Show all game names played by Linda Smith [/INST]

Output: SELECT Gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid  =  T2.gameid JOIN Student AS T3 ON T3.Stuid  =  T1.Stuid WHERE T3.Lname  =  "Smith" AND T3.Fname  =  "Linda";


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What are the names of all games played by Linda Smith? [/INST]

Output: SELECT Gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid  =  T2.gameid JOIN Student AS T3 ON T3.Stuid  =  T1.Stuid WHERE T3.Lname  =  "Smith" AND T3.Fname  =  "Linda";


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Find the last and first name of students who are playing Football or Lacrosse. [/INST]

Output: SELECT T2.lname ,  T2.fname FROM SportsInfo AS T1 JOIN Student AS T2 ON T1.StuID  =  T2.StuID WHERE T1.SportName  =  "Football" OR T1.SportName  =  "Lacrosse";


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What is the first and last name of all students who play Football or Lacrosse? [/INST]

Output: SELECT T2.lname ,  T2.fname FROM SportsInfo AS T1 JOIN Student AS T2 ON T1.StuID  =  T2.StuID WHERE T1.SportName  =  "Football" OR T1.SportName  =  "Lacrosse";


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Find the first name and age of the students who are playing both Football and Lacrosse. [/INST]

Output: SELECT fname ,  age FROM Student WHERE StuID IN (SELECT StuID FROM Sportsinfo WHERE SportName  =  "Football" INTERSECT SELECT StuID FROM Sportsinfo WHERE SportName  =  "Lacrosse");


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: What are the first names and ages of all students who are playing both Football and Lacrosse? [/INST]

Output: SELECT fname ,  age FROM Student WHERE StuID IN (SELECT StuID FROM Sportsinfo WHERE SportName  =  "Football" INTERSECT SELECT StuID FROM Sportsinfo WHERE SportName  =  "Lacrosse");


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: Find the last name and gender of the students who are playing both Call of Destiny and Works of Widenius games. [/INST]

Output: SELECT lname ,  sex FROM Student WHERE StuID IN (SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID  =  T2.GameID WHERE T2.Gname  =  "Call of Destiny" INTERSECT SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID  =  T2.GameID WHERE T2.Gname  =  "Works of Widenius");


Input:
[INST] Here is a database schema:
Student :
StuID [ INT ] primary_key
LName [ TEXT ]
Fname [ TEXT ]
Age [ INT ]
Sex [ TEXT ]
Major [ INT ]
Advisor [ INT ]
city_code [ TEXT ]

Video_Games :
GameID [ INT ] primary_key
GName [ TEXT ]
GType [ TEXT ]

Plays_Games :
StuID [ INT ] Plays_Games.StuID = Student.StuID
GameID [ INT ] Plays_Games.GameID = Video_Games.GameID
Hours_Played [ INT ]

SportsInfo :
StuID [ INT ] SportsInfo.StuID = Student.StuID
SportName [ TEXT ]
HoursPerWeek [ INT ]
GamesPlayed [ INT ]
OnScholarship [ TEXT ]

Please write me a SQL statement that answers the following question: what is the last name and gender of all students who played both Call of Destiny and Works of Widenius? [/INST]

Output: SELECT lname ,  sex FROM Student WHERE StuID IN (SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID  =  T2.GameID WHERE T2.Gname  =  "Call of Destiny" INTERSECT SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID  =  T2.GameID WHERE T2.Gname  =  "Works of Widenius");


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the name of all customers. [/INST]

Output: SELECT customer_name FROM customers;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What are the names of all the customers? [/INST]

Output: SELECT customer_name FROM customers;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: How many customers are there? [/INST]

Output: SELECT count(*) FROM customers;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Return the total number of distinct customers. [/INST]

Output: SELECT count(*) FROM customers;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What is the average amount of items ordered in each order? [/INST]

Output: SELECT avg(order_quantity) FROM order_items;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the average order quantity per order. [/INST]

Output: SELECT avg(order_quantity) FROM order_items;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What are the names of customers who use payment method "Cash"? [/INST]

Output: SELECT customer_name FROM customers WHERE payment_method  =  "Cash";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Which customers use "Cash" for payment method? Return the customer names. [/INST]

Output: SELECT customer_name FROM customers WHERE payment_method  =  "Cash";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the "date became customers" of the customers whose ID is between 10 and 20. [/INST]

Output: SELECT date_became_customer FROM customers WHERE customer_id BETWEEN 10 AND 20;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What are the dates when customers with ids between 10 and 20 became customers? [/INST]

Output: SELECT date_became_customer FROM customers WHERE customer_id BETWEEN 10 AND 20;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Which payment method is used by most customers? [/INST]

Output: SELECT payment_method FROM customers GROUP BY payment_method ORDER BY count(*) DESC LIMIT 1;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the payment method that is used most frequently. [/INST]

Output: SELECT payment_method FROM customers GROUP BY payment_method ORDER BY count(*) DESC LIMIT 1;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What are the names of customers using the most popular payment method? [/INST]

Output: SELECT customer_name FROM customers WHERE payment_method  =  (SELECT payment_method FROM customers GROUP BY payment_method ORDER BY count(*) DESC LIMIT 1);


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the name of the customers who use the most frequently used payment method. [/INST]

Output: SELECT customer_name FROM customers WHERE payment_method  =  (SELECT payment_method FROM customers GROUP BY payment_method ORDER BY count(*) DESC LIMIT 1);


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What are all the payment methods? [/INST]

Output: SELECT DISTINCT payment_method FROM customers;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Return all the distinct payment methods used by customers. [/INST]

Output: SELECT DISTINCT payment_method FROM customers;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What are the details of all products? [/INST]

Output: SELECT DISTINCT product_details FROM products;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Return the the details of all products. [/INST]

Output: SELECT DISTINCT product_details FROM products;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the name of all customers whose name contains "Alex". [/INST]

Output: SELECT customer_name FROM customers WHERE customer_name LIKE "%Alex%";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Which customer's name contains "Alex"? Find the full name. [/INST]

Output: SELECT customer_name FROM customers WHERE customer_name LIKE "%Alex%";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the detail of products whose detail contains the word "Latte" or the word "Americano" [/INST]

Output: SELECT product_details FROM products WHERE product_details LIKE "%Latte%" OR product_details LIKE "%Americano%";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Which product's detail contains the word "Latte" or "Americano"? Return the full detail. [/INST]

Output: SELECT product_details FROM products WHERE product_details LIKE "%Latte%" OR product_details LIKE "%Americano%";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What is the address content of the customer named "Maudie Kertzmann"? [/INST]

Output: SELECT t3.address_content FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t1.customer_name  =  "Maudie Kertzmann";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Return the address content for the customer whose name is "Maudie Kertzmann". [/INST]

Output: SELECT t3.address_content FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t1.customer_name  =  "Maudie Kertzmann";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: How many customers are living in city "Lake Geovannyton"? [/INST]

Output: SELECT count(*) FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t3.city  =  "Lake Geovannyton";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the number of customers who live in the city called Lake Geovannyton. [/INST]

Output: SELECT count(*) FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t3.city  =  "Lake Geovannyton";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the name of customers who are living in Colorado? [/INST]

Output: SELECT t1.customer_name FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t3.state_province_county  =  "Colorado";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What are the names of customers who live in Colorado state? [/INST]

Output: SELECT t1.customer_name FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id WHERE t3.state_province_county  =  "Colorado";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the list of cities that no customer is living in. [/INST]

Output: SELECT city FROM addresses WHERE city NOT IN ( SELECT DISTINCT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id);


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What are the cities no customers live in? [/INST]

Output: SELECT city FROM addresses WHERE city NOT IN ( SELECT DISTINCT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id);


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Which city has the most customers living in? [/INST]

Output: SELECT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id GROUP BY t3.city ORDER BY count(*) DESC LIMIT 1;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the city where the most customers live. [/INST]

Output: SELECT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id  =  t2.customer_id JOIN addresses AS t3 ON t2.address_id  =  t3.address_id GROUP BY t3.city ORDER BY count(*) DESC LIMIT 1;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Retrieve the list of all cities. [/INST]

Output: SELECT DISTINCT city FROM addresses;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: List all the distinct cities [/INST]

Output: SELECT DISTINCT city FROM addresses;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the city with post code 255. [/INST]

Output: SELECT city FROM addresses WHERE zip_postcode  =  255;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Which city is post code 255 located in? [/INST]

Output: SELECT city FROM addresses WHERE zip_postcode  =  255;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the state and country of all cities with post code starting with 4. [/INST]

Output: SELECT state_province_county ,  country FROM addresses WHERE zip_postcode LIKE "4%";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What are the state and country of all the cities that have post codes starting with 4.\ [/INST]

Output: SELECT state_province_county ,  country FROM addresses WHERE zip_postcode LIKE "4%";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: List the countries having more than 4 addresses listed. [/INST]

Output: SELECT country FROM addresses GROUP BY country HAVING count(address_id)  >  4;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: For which countries are there more than four distinct addresses listed? [/INST]

Output: SELECT country FROM addresses GROUP BY country HAVING count(address_id)  >  4;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: List all the contact channel codes that were used less than 5 times. [/INST]

Output: SELECT channel_code FROM customer_contact_channels GROUP BY channel_code HAVING count(customer_id)  <  5;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Which contact channel codes were used less than 5 times? [/INST]

Output: SELECT channel_code FROM customer_contact_channels GROUP BY channel_code HAVING count(customer_id)  <  5;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Which contact channel has been used by the customer with name "Tillman Ernser"? [/INST]

Output: SELECT DISTINCT channel_code FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id  =  t2.customer_id WHERE t1.customer_name  =  "Tillman Ernser";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Find the contact channel code that was used by the customer named "Tillman Ernser". [/INST]

Output: SELECT DISTINCT channel_code FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id  =  t2.customer_id WHERE t1.customer_name  =  "Tillman Ernser";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What is the "active to date" of the latest contact channel used by "Tillman Ernser"? [/INST]

Output: SELECT max(t2.active_to_date) FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id  =  t2.customer_id WHERE t1.customer_name  =  "Tillman Ernser";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Return the the "active to date" of the latest contact channel used by the customer named "Tillman Ernser". [/INST]

Output: SELECT max(t2.active_to_date) FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id  =  t2.customer_id WHERE t1.customer_name  =  "Tillman Ernser";


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What is the average time span of contact channels in the database? [/INST]

Output: SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: Compute the average active time span of contact channels. [/INST]

Output: SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels;


Input:
[INST] Here is a database schema:
Addresses :
address_id [ INT ] primary_key
address_content [ TEXT ]
city [ TEXT ]
zip_postcode [ TEXT ]
state_province_county [ TEXT ]
country [ TEXT ]
other_address_details [ TEXT ]

Products :
product_id [ INT ] primary_key
product_details [ TEXT ]

Customers :
customer_id [ INT ] primary_key
payment_method [ TEXT ]
customer_name [ TEXT ]
date_became_customer [ TEXT ]
other_customer_details [ TEXT ]

Customer_Addresses :
customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id
address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id
date_address_from [ TEXT ]
address_type [ TEXT ]
date_address_to [ TEXT ]

Customer_Contact_Channels :
customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id
channel_code [ TEXT ]
active_from_date [ TEXT ]
active_to_date [ TEXT ]
contact_number [ TEXT ]

Customer_Orders :
order_id [ INT ] primary_key
customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id
order_status [ TEXT ]
order_date [ TEXT ]
order_details [ TEXT ]

Order_Items :
order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id
product_id [ INT ] Order_Items.product_id = Products.product_id
order_quantity [ TEXT ]

Please write me a SQL statement that answers the following question: What is the channel code and contact number of the customer contact channel that was active for the longest time? [/INST]

Output: SELECT channel_code ,  contact_number FROM customer_contact_channels WHERE active_to_date - active_from_date  =  (SELECT active_to_date - active_from_date FROM customer_contact_channels ORDER BY (active_to_date - active_from_date) DESC LIMIT 1);